#Intelligent Virtual Assistant Software Market Forecast

[web-to-print-industry]

How Artificial Intelligence is Transforming the Printing Industry

The printing industry is undergoing a significant transformation, thanks to the integration of artificial intelligence (AI). From automating production workflows to enhancing customer experiences, AI is helping businesses streamline operations, reduce costs, and improve efficiency. By leveraging print management software and online product designer tools, print businesses can now offer faster, more precise, and highly customized solutions.

1. AI-Driven Automation in Print Production

AI is revolutionizing the way printing businesses manage their workflows. With print management software, AI can analyze order patterns, optimize print scheduling, and reduce waste, making production processes more efficient. Automated quality control systems powered by AI can also detect errors in print files before production, ensuring high-quality output with minimal human intervention.

2. Enhancing Customer Experience with AI

Customers today expect fast, seamless, and personalized services. AI-powered chatbots and virtual assistants help printing businesses provide instant support, answering customer queries and guiding them through the ordering process. Additionally, AI-driven recommendation systems suggest the best print options based on customer preferences, improving user engagement and satisfaction.

3. Smarter Design Capabilities with AI

The integration of AI with an online product designer enables users to create stunning, print-ready designs with ease. AI can assist in:

Auto-generating design templates based on user input.

Providing real-time design feedback and error detection.

Offering intelligent color-matching and font-pairing suggestions. This ensures that even users with minimal design experience can create professional-quality prints effortlessly.

4. AI-Powered Print Marketing and Personalization

AI is enhancing print marketing by enabling hyper-personalization. Businesses can use AI to analyze customer behavior and create targeted print materials, such as direct mail campaigns customized to individual preferences. Variable data printing (VDP), combined with AI, allows businesses to produce personalized brochures, flyers, and packaging that appeal to specific audiences.

5. Predictive Maintenance for Printing Equipment

One of the biggest challenges in the printing industry is machine downtime. AI-powered predictive maintenance in print management software helps monitor the health of printing equipment, identifying potential failures before they occur. This reduces unexpected breakdowns, increases machine lifespan, and improves overall efficiency.

6. AI in Supply Chain and Inventory Management

AI-driven analytics help printing businesses optimize their supply chain by forecasting demand, tracking inventory levels, and preventing stock shortages or overproduction. This level of automation ensures smooth order fulfillment and cost savings in material procurement.

7. The Future of AI in Printing

As AI technology continues to advance, its impact on the printing industry will only grow. From real-time production monitoring to AI-powered creative tools, the future of printing will be faster, smarter, and more customer-centric. Businesses that embrace AI-driven print management software and online product designer solutions will have a competitive edge in delivering high-quality, customized printing services.

Conclusion

The integration of artificial intelligence in the printing industry is not just a trend but a game-changer. By incorporating AI-powered print management software and intuitive online product designer tools, businesses can achieve higher efficiency, reduce costs, and enhance customer satisfaction. The future of printing is smart, and AI is leading the way toward a more innovative and automated industry.

[skyfallights]

Robotic Process Automation (RPA) Market Share Empowering Digital Workforces for the Future

The Robotic Process Automation (RPA) Market Share is transforming the modern enterprise by automating routine tasks and enabling smarter, faster, and more efficient operations. From data entry and customer service to complex analytics and compliance, RPA is helping organizations achieve digital transformation at scale.

According to Market Share Research Future, the global RPA market is projected to reach USD 21.3 billion by 2030, growing at a compelling CAGR of 27.7% during the forecast period. This exceptional growth is driven by the increasing demand for automation, cost optimization, and the need for improved operational efficiency across industries.

Market Share Overview

RPA technology uses software bots to automate repetitive, rule-based tasks previously performed by humans. These bots can mimic human interactions with digital systems, process large volumes of data, and work across multiple applications without error or fatigue.

RPA adoption is surging as organizations seek ways to streamline operations, improve customer satisfaction, and gain a competitive edge in the digital economy. With advancements in Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML), RPA tools are becoming more intelligent, adaptive, and capable of handling unstructured data.

Enhanced Market Share Segmentation

The RPA market is segmented based on process, operation, deployment, organization size, industry vertical, and region:

By Process:

Automated Solutions (e.g., invoice processing, payroll automation)

Decision Support & Management Solutions

Interaction Solutions (e.g., chatbots, virtual assistants)

By Operation:

Rule-Based Automation

Knowledge-Based Automation

By Deployment:

On-Premise

Cloud-Based

By Organization Size:

Small and Medium Enterprises (SMEs)

Large Enterprises

By Industry Vertical:

BFSI (Banking, Financial Services & Insurance)

Healthcare

Retail

IT & Telecommunications

Manufacturing

Government

Transportation & Logistics

By Region:

North America – Dominates due to tech maturity and strong enterprise adoption

Europe – Rapid digitization in banking, insurance, and manufacturing sectors

Asia-Pacific – Fastest-growing region driven by business process outsourcing (BPO)

Latin America, Middle East, and Africa (LAMEA) – Emerging use cases and infrastructure development

Trends Shaping the RPA Market Share

Hyperautomation: A key trend in digital transformation, combining RPA with AI, ML, and analytics to automate entire workflows.

Intelligent Document Processing (IDP): Enables bots to extract and process data from unstructured sources like PDFs, emails, and images.

Low-Code/No-Code Platforms: Democratizing automation by allowing business users with minimal coding skills to build bots.

Cloud-Native RPA Solutions: Providing scalability, faster deployment, and cost efficiency.

RPA-as-a-Service (RPAaaS): Gaining popularity among SMEs for its affordability and ease of use.

Segment Insights

BFSI Sector

The BFSI sector is a frontrunner in RPA adoption. Financial institutions use bots to streamline KYC (Know Your Customer), fraud detection, loan processing, and regulatory compliance. RPA reduces operational costs and processing times, significantly enhancing customer experience.

Healthcare

In healthcare, RPA bots are used to manage patient records, schedule appointments, handle insurance claims, and ensure compliance with healthcare standards. The ability to reduce human error and administrative burden is driving adoption.

Retail & E-commerce

RPA is helping retailers automate inventory management, order processing, returns handling, and customer support. As digital commerce expands, automation ensures seamless operations and faster response times.

End-User Insights

Large Enterprises

Large enterprises are the leading adopters of RPA due to their complex workflows and greater need for cost optimization. These organizations typically integrate RPA into enterprise resource planning (ERP) and customer relationship management (CRM) systems.

SMEs

Small and medium-sized enterprises are increasingly adopting RPA-as-a-service models to stay competitive. Cloud-based solutions offer flexibility and affordability, allowing SMEs to scale operations without heavy infrastructure investments.

Government Agencies

Governments are leveraging RPA for citizen services, tax processing, social security benefits, and administrative automation. Public sector digitization is a major contributor to market expansion.

Key Players

The RPA market is marked by intense competition and innovation. Key players focus on developing advanced solutions, strategic acquisitions, and expanding their product ecosystems.

UiPath

Automation Anywhere

Blue Prism

Pegasystems Inc.

NICE Systems

Kofax Inc.

WorkFusion

EdgeVerve (An Infosys Company)

AntWorks

IBM Corporation

These companies are investing heavily in AI-driven automation, cognitive intelligence, and industry-specific RPA solutions to cater to a broad range of applications.

Future Outlook

The future of the Robotic Process Automation market is closely tied to the evolution of enterprise IT, digital transformation, and hybrid work environments. As organizations aim for agility and efficiency, RPA will continue to play a crucial role in reshaping operational models.

With advancements in conversational AI, process discovery tools, and autonomous decision-making, the next generation of RPA will be more proactive, scalable, and human-like—redefining productivity across sectors.

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[christianbale121]

Why Should You Partner with an AI Development Company in 2025?

As we step further into the digital era, Artificial Intelligence (AI) is no longer a futuristic concept—it’s the present and the future of business innovation. In 2025, companies across industries are rapidly embracing AI to enhance operations, deliver personalized customer experiences, and drive smarter decision-making. However, implementing AI effectively requires technical expertise, strategic planning, and customized solutions—this is where an AI development company becomes a game-changer.

Partnering with a specialized AI development firm allows businesses to leverage cutting-edge technology without building in-house capabilities from scratch. This blog explores the key reasons why joining forces with an AI development company in 2025 is not just beneficial—it’s essential.

1. Access to Specialized AI Expertise

AI development companies bring a team of data scientists, ML engineers, and software developers who are deeply experienced in building intelligent solutions. In 2025, AI technologies like natural language processing (NLP), computer vision, and deep learning are more complex and advanced than ever. Partnering with an expert team ensures you're not just using AI—you’re using it the right way.

Whether it's integrating chatbots, recommendation engines, or predictive analytics, these companies help you implement the right technology stack based on your business goals and industry needs.

2. Faster and Cost-Effective Development

Building an in-house AI solution demands significant time, cost, and resources—hiring talent, training teams, and managing R&D. AI development companies offer a faster go-to-market approach. With pre-built frameworks, reusable models, and agile development processes, they drastically cut down deployment time and development costs.

In 2025’s fast-paced business environment, agility matters. With a reliable partner, you get to market faster while staying within budget.

3. Customized Solutions for Unique Business Needs

Every business is unique, and so are its AI requirements. An AI development company doesn't just offer off-the-shelf solutions—they analyze your workflows, business model, customer behavior, and objectives to craft AI tools tailored for your success.

For example, a retail business might need AI for dynamic pricing and demand forecasting, while a healthcare company may require diagnostic algorithms or virtual health assistants. Customization ensures maximum ROI from your AI investment.

4. Seamless Integration with Existing Systems

AI is not a standalone solution—it must integrate smoothly with your existing software ecosystem (CRM, ERP, marketing platforms, etc.). Experienced AI developers ensure your new AI tools work in harmony with what you already use, preventing workflow disruptions.

They also assist in data preparation and cleansing, which is a critical part of making AI function effectively. In 2025, data is abundant, but making it AI-ready is a skill best handled by professionals.

5. Scalability and Future-Readiness

One of the biggest advantages of working with an AI development company is the scalability they provide. As your business grows, your AI tools can be upgraded or expanded to handle more data, serve more users, or add new functionalities.

Additionally, these companies keep pace with the latest AI innovations—so your systems never fall behind. From integrating generative AI models to deploying edge AI for IoT devices, they ensure your solutions are future-ready.

6. Data Security and Compliance

In 2025, data privacy regulations are stricter than ever. AI development companies understand the importance of building systems that comply with global standards like GDPR, HIPAA, and emerging data laws.

They incorporate robust security protocols, encrypted data storage, and access controls to ensure your AI tools protect sensitive information while maintaining full regulatory compliance.

7. Ongoing Support and Optimization

AI isn’t a one-time implementation—it requires continuous improvement. Models need regular retraining, performance monitoring, and fine-tuning as new data comes in. A trustworthy AI partner provides long-term support to optimize models and update systems as needed.

This ongoing collaboration ensures your AI solutions evolve alongside your business needs and market trends.

8. Gaining a Competitive Edge

In 2025, your competitors are likely already exploring or implementing AI. Partnering with an AI development company gives you the tools to stay ahead—offering smarter customer engagement, hyper-personalized services, improved efficiency, and real-time insights.

AI empowers data-driven strategies that increase agility and innovation. Whether you’re a startup or an enterprise, this partnership gives you a significant edge over those lagging in adoption.

Conclusion

Partnering with an AI development company in 2025 is not just a smart decision—it’s a strategic necessity. From streamlining operations and reducing costs to enabling smarter decisions and future-proofing your business, AI is at the heart of modern digital transformation.

With an expert AI development partner by your side, you unlock the true potential of artificial intelligence—securely, efficiently, and strategically. Embrace this opportunity today to lead your industry tomorrow.

[aiagentsinweb3blogs]

From Automation to Autonomy: How AI Agents Are Transforming Industries Across Web2 and Web3

The digital world is experiencing a seismic shift. What began as simple automation is evolving into full-fledged autonomy, driven by the rapid rise of AI agents—intelligent, autonomous systems capable of making decisions, learning from experience, and executing complex tasks without human intervention. From traditional Web2 industries to the cutting-edge world of Web3, AI agents are ushering in a new era of intelligent automation, reshaping how businesses operate, how users interact with technology, and how entire ecosystems function.

What Are AI Agents?

At their core, AI agents are software entities powered by artificial intelligence algorithms—ranging from machine learning and deep learning to natural language processing and reinforcement learning. Unlike basic bots that operate based on predefined rules, AI agents can observe their environment, process real-time data, make decisions, and act upon them autonomously. They continually learn and improve, making them ideal for dynamic environments where adaptability is key.

In both Web2 and Web3 settings, AI agents are being embedded into systems to reduce human workload, eliminate inefficiencies, and offer real-time intelligent responses to complex scenarios.

AI Agents in Web2 Industries

1. Customer Service & Support

In Web2, one of the most visible applications of AI agents is in customer service. Chatbots and virtual assistants powered by AI are now able to handle thousands of customer queries simultaneously, offering personalized responses, managing bookings, processing returns, and even upselling services.

2. Healthcare

In healthcare, AI agents are transforming diagnostics, patient monitoring, and treatment recommendations. They can analyze vast datasets—including medical histories, lab results, and imaging scans—to assist doctors in diagnosing diseases faster and more accurately. Some AI agents are even used in robotic surgery, enhancing precision and reducing human error.

3. Finance & Banking

Financial institutions use AI agents for fraud detection, credit scoring, and algorithmic trading. These agents analyze spending patterns in real time, flag anomalies, and automate risk management—tasks that would take human analysts much longer to complete.

The Rise of AI Agents in Web3

In the decentralized world of Web3, AI agents are finding novel use cases that are redefining how users interact with blockchain-based systems.

1. DeFi Automation

AI agents in decentralized finance (DeFi) can automatically manage portfolios, execute trades, and move assets between protocols to maximize yield. They reduce the need for constant user monitoring and can react instantly to market shifts—crucial in a 24/7 crypto landscape.

2. On-Chain Governance

DAOs (Decentralized Autonomous Organizations) are incorporating AI agents to enhance governance processes. These agents can analyze proposal data, forecast voting outcomes, and even vote autonomously based on a stakeholder’s defined preferences or community consensus.

3. Web3 Gaming & NFTs

In blockchain-based games, AI agents power NPCs (non-playable characters) with dynamic behavior, manage in-game economies, and handle NFT minting and distribution. They enable deeper player interaction and make the gaming environment more lifelike and responsive.

4. Identity and Personalization

AI agents tied to decentralized identities (DIDs) can act as personal assistants in Web3. They manage digital credentials, customize user interfaces across dApps, and help users navigate the decentralized web without friction.

Benefits Across the Board

Whether in Web2 or Web3, the advantages of integrating AI agents are clear:

Efficiency: Automate repetitive and data-heavy tasks at scale.

Speed: React instantly to real-time inputs and events.

Scalability: Handle millions of interactions without degrading performance.

Adaptability: Learn from user behavior and system changes to improve outcomes.

Conclusion

The journey from automation to autonomy is well underway, and AI agents are leading the charge. By enabling smarter, self-operating systems, they are transforming industries from customer service and healthcare in Web2 to DeFi, DAOs, and NFTs in Web3. As this technology continues to evolve, AI agents will become indispensable digital companions, reshaping how we work, play, transact, and connect in an increasingly intelligent and decentralized world.

[newspressx]

Queue Management System Market Size, Trends, Challenges & Opportunities Forecast

Global Queue Management System Market Overview The Global Queue Management System (QMS) market is experiencing robust growth, valued at approximately USD 600 million in 2024 and projected to reach over USD 1.2 billion by 2032, expanding at a compound annual growth rate (CAGR) of around 9% during the forecast period. The surge in demand for efficient customer flow solutions across sectors such as healthcare, retail, banking, government services, and transportation is a primary driver of this growth. As businesses strive to enhance user experience, reduce customer wait times, and improve operational efficiency, queue management systems have emerged as indispensable tools. Key growth drivers include the increasing digitization of customer services, the rise in smart city initiatives, and growing adoption of cloud-based solutions. Furthermore, the COVID-19 pandemic accelerated the shift towards contactless and virtual queueing, encouraging widespread adoption of advanced QMS platforms integrated with AI and IoT. The proliferation of mobile-based queue apps and kiosks has further transformed how customers engage with businesses, contributing to the market’s momentum. Global Queue Management System Market Dynamics Market Drivers: Rising demand for enhanced customer experience and service delivery across industries, particularly in banking and healthcare, continues to fuel QMS adoption. Integration with CRM and business intelligence tools provides valuable insights for decision-making and performance optimization. Market Restraints: Despite growth, the market faces hurdles such as high implementation costs for SMEs and the complexity of integrating QMS with legacy infrastructure. Moreover, data privacy concerns and varying compliance standards across regions hinder seamless deployment. Market Opportunities: The emergence of AI-driven analytics, cloud deployment models, and mobile queueing present significant opportunities. Growth in emerging economies and public sector digitization also unlock new avenues for vendors offering scalable queue management solutions. Technology and regulatory frameworks are shaping the QMS market through enhanced security protocols and compliance mandates (e.g., GDPR). Furthermore, sustainability trends are pushing enterprises to reduce paper usage through digital token systems and eco-friendly kiosks. Download Full PDF Sample Copy of Global Queue Management System Market Report @ https://www.verifiedmarketresearch.com/download-sample?rid=36289&utm_source=PR-News&utm_medium=366 Global Queue Management System Market Trends and Innovations The market is witnessing rapid innovation, led by AI, machine learning, and IoT technologies. Real-time queue analytics, predictive modeling, and smart digital signage are becoming common features in advanced systems. Omnichannel queueing—integrating web, mobile, and physical touchpoints—offers a seamless customer journey. Leading vendors are investing in automated queue dispersion algorithms, voice-activated kiosks, and virtual assistants to streamline operations. SaaS-based queue management is gaining traction for its scalability and cost efficiency. Strategic partnerships among tech companies and QMS providers are enabling tailored industry-specific solutions, particularly in smart retail and smart healthcare environments. Global Queue Management System Market Challenges and Solutions One of the major challenges in the QMS market is the lack of interoperability with existing enterprise software, especially in traditional industries. Supply chain disruptions also affect the availability of kiosk hardware and peripherals. Additionally, price sensitivity among small and mid-sized businesses limits large-scale deployment. To overcome these issues, vendors are offering modular and API-first queue management platforms, enabling easy integration. Subscription-based pricing models, localized technical support, and cloud-based deployment help reduce upfront costs and implementation complexity.

Enhanced focus on cybersecurity and user data protection also improves trust and regulatory compliance. Global Queue Management System Market Future Outlook The future of the Global Queue Management System market appears promising, driven by the increasing prioritization of customer satisfaction and operational automation. The transition to smart environments—retail 4.0, e-government, and telehealth—will continue to elevate demand for intelligent queueing solutions. Over the next decade, AI-enabled queue prediction, self-service kiosks, and personalized digital engagement tools will be central to next-generation queue management. North America and Europe will remain dominant markets due to early tech adoption and mature infrastructure, while Asia-Pacific is expected to witness the fastest growth due to rapid urbanization, digital transformation, and rising service sector demand. Vendors focusing on innovation, user-centric design, and regulatory alignment are best positioned to capitalize on the evolving market dynamics. Key Players in the Global Queue Management System Market Global Queue Management System Market are renowned for their innovative approach, blending advanced technology with traditional expertise. Major players focus on high-quality production standards, often emphasizing sustainability and energy efficiency. These companies dominate both domestic and international markets through continuous product development, strategic partnerships, and cutting-edge research. Leading manufacturers prioritize consumer demands and evolving trends, ensuring compliance with regulatory standards. Their competitive edge is often maintained through robust R&D investments and a strong focus on exporting premium products globally.   ATT Systems Seehash Softwares Advantech Lavi Industries Skiplino QLess AKIS Technologies Q-Matic AURIONPRO XIPHIAS Software.   Get Discount On The Purchase Of This Report @ https://www.verifiedmarketresearch.com/ask-for-discount?rid=36289&utm_source=PR-News&utm_medium=366 Global Queue Management System Market Segments Analysis and Regional Economic Significance The Global Queue Management System Market is segmented based on key parameters such as product type, application, end-user, and geography. Product segmentation highlights diverse offerings catering to specific industry needs, while application-based segmentation emphasizes varied usage across sectors. End-user segmentation identifies target industries driving demand, including healthcare, manufacturing, and consumer goods. These segments collectively offer valuable insights into market dynamics, enabling businesses to tailor strategies, enhance market positioning, and capitalize on emerging opportunities. The Global Queue Management System Market showcases significant regional diversity, with key markets spread across North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. Each region contributes uniquely, driven by factors such as technological advancements, resource availability, regulatory frameworks, and consumer demand. Queue Management System Market, By Type • Virtual Queuing• Linear Queuing Queue Management System Market, By Application • Hospitals and Clinics• Banks and Financial Institutions• Government Offices• Telecom Service Centers• Others Queue Management System Market By Geography • North America• Europe• Asia Pacific• Latin America• Middle East and Africa For More Information or Query, Visit @ https://www.verifiedmarketresearch.com/product/queue-management-system-market/ About Us: Verified Market Research Verified Market Research is a leading Global Research and Consulting firm servicing over 5000+ global clients. We provide advanced analytical research solutions while offering information-enriched research studies. We also offer insights into strategic and growth analyses and data necessary to achieve corporate goals and critical revenue decisions. Our 250 Analysts and SMEs offer a high level of expertise

in data collection and governance using industrial techniques to collect and analyze data on more than 25,000 high-impact and niche markets. Our analysts are trained to combine modern data collection techniques, superior research methodology, expertise, and years of collective experience to produce informative and accurate research. Contact us: Mr. Edwyne Fernandes US: +1 (650)-781-4080 US Toll-Free: +1 (800)-782-1768 Website: https://www.verifiedmarketresearch.com/ Top Trending Reports https://www.verifiedmarketresearch.com/ko/product/paper-based-microfluidic-analytical-devices-market/ https://www.verifiedmarketresearch.com/ko/product/micronized-sulfur-market/ https://www.verifiedmarketresearch.com/ko/product/microplastics-sensors-market/ https://www.verifiedmarketresearch.com/ko/product/microvascular-anastomotic-coupler-devices-market/ https://www.verifiedmarketresearch.com/ko/product/microwave-digestion-system-market/

[globalindustrypulse]

U.S. UC&C Market Growth Potential for the Period 2025 to 2032 | At a CAGR of 15.2%

The U.S. Unified Communication & Collaboration (UC&C) market Industry was valued at USD 28.73 billion in 2024 and is projected to reach USD 90.07 billion by 2032, growing at a CAGR of 15.2% during the forecast period (2025–2032). With a sharp increase in demand for integrated communication tools, remote work enablement, and cloud-first strategies, the U.S. UC&C sector is undergoing rapid transformation across industries.

Key Market Highlights:       

2024 Market Size: USD 28.73 billion

2025 Forecast Starting Value: USD 33.42 billion

2032 Projected Market Size: USD 90.07 billion

CAGR (2025–2032): 15.2%

Market Outlook: Acceleration of cloud-based collaboration, unified messaging, and enterprise video communications

Leading Companies in the U.S. UC&C Market:          

Microsoft Corporation (Teams, Office 365)

Cisco Systems, Inc. (Webex, Unified Communications Manager)

Zoom Video Communications, Inc.

Google LLC (Google Meet, Workspace)

RingCentral, Inc.

Avaya Inc.

Slack Technologies, LLC (Salesforce)

8x8, Inc.

Mitel Networks Corporation

Verizon Communications Inc.

Amazon Web Services (Chime)

Request for Free Sample PDF: https://www.fortunebusinessinsights.com/enquiry/request-sample-pdf/u-s-unified-communication-collaboration-uc-c-market-107419

Market Dynamics:

Key Growth Drivers:

Mass adoption of hybrid and remote work post-pandemic

Increasing demand for secure, scalable, and cloud-native UC platforms

Growth in BYOD (Bring Your Own Device) and mobile-first collaboration tools

Surge in video conferencing, webinar hosting, and real-time messaging across sectors

Focus on productivity and workflow integration via APIs and AI assistants

Major Opportunities:

Integration of AI features (e.g., meeting transcription, translation, summarization)

Deployment of UCaaS (Unified Communications as a Service) for SMBs and large enterprises

Expansion into telehealth, e-learning, and government collaboration tools

Unified analytics dashboards for employee engagement and communication efficiency

Growth in vertical-specific solutions for finance, legal, and manufacturing

Emerging Trends:

Widespread adoption of AI/ML for speech analytics, noise cancellation, and meeting intelligence

Rise of low-code/no-code platforms enabling custom UC integrations

Increased focus on security, compliance, and data sovereignty (especially for healthcare and finance)

Collaboration suites offering deep CRM and productivity tool integrations

Mobile-first UC strategies to support frontline and distributed teams

Technology & Application Scope:

Core Technologies: VoIP, video conferencing, instant messaging, SIP trunking, contact center software

Deployment Models: Cloud-native (UCaaS), on-premise, hybrid

Key Applications: Internal collaboration, external customer communication, virtual meetings, workforce management, remote training

User Base: Enterprises, SMEs, government bodies, education institutions, healthcare providers

Speak to Analysts: https://www.fortunebusinessinsights.com/enquiry/speak-to-analyst/u-s-unified-communication-collaboration-uc-c-market-107419

Recent Developments:

February 2024 – Microsoft launched an AI-powered "Copilot for Teams" feature, delivering meeting summarization and smart follow-up recommendations in real time for U.S.-based enterprise clients.

August 2023 – Zoom introduced a U.S.-focused AI Companion across its UC platform, offering generative AI meeting insights, tone adaptation in chats, and intelligent scheduling.

November 2023 – Cisco partnered with major telecom providers in the U.S. to expand edge-based UC capabilities with enhanced encryption and latency-reduction technologies.

Conclusion:

The U.S. Unified Communication & Collaboration (UC&C) market is entering a growth phase marked by innovation, platform convergence, and digital-first workplace models. Enterprises are investing in platforms that unify communication, enhance team collaboration, and improve productivity while meeting the flexibility needs of modern workforces. As UC&C continues to evolve, vendors who offer AI-powered, secure, and scalable solutions are expected to lead the charge.

[digitalstrategyinsights]

How AI Trends Are Reshaping Shopping in 2025

The shopping experience, both online and offline, is undergoing a significant transformation, driven by rapid advancements in artificial intelligence (AI). From personalized product transformations to automated customer support, AI is no longer a futuristic concept; it's the backbone of modern retail. As we advance further into 2025, emerging AI trends are not only enhancing convenience but also reshaping how consumers engage with brands and make purchasing decisions.

In this article, we examine the most impactful AI trends changing the face of shopping in 2025 and what businesses can do to stay ahead of the curve.

1. Hyper-Personalized Shopping Experiences

AI is enabling brands to deliver personalization like never before. By analyzing user behavior, past purchases, and preferences in real time, AI systems can recommend products that feel custom-made for each shopper.

This level of customization is made possible by intelligent algorithms developed during the AI shopping app development process. These apps go beyond simple suggestions, offering dynamic pricing, adaptive interfaces, and predictive buying prompts, all of which help boost customer satisfaction and loyalty.

2. The Rise of Conversational AI and Chatbots

Customer service has become faster, smarter, and more accessible thanks to AI chatbots. In 2025, these bots are more advanced than ever, capable of understanding natural language, detecting sentiment, and handling complex queries.

Shoppers can now ask questions, track orders, find products, and even receive fashion advice all through intelligent virtual assistants. Whether integrated into a website or mobile app, AI-powered chat interfaces are enhancing customer interactions while reducing operational costs for retailers.

These solutions are often developed by a skilled AI development company, ensuring that the chatbot aligns with the brand's tone, goals, and customer service strategies.

3. Visual and Voice Search Redefining Product Discovery

One of the most exciting AI trends is the integration of visual and voice search in retail apps. Instead of typing keywords, users can simply upload a photo or speak a command to find products.

This intuitive shopping experience reduces friction and opens new possibilities for product discovery. Behind the scenes, this functionality relies on advanced AI models trained by an AI software app development company, capable of recognizing patterns, images, and speech with impressive accuracy.

Retailers leveraging these technologies are seeing higher engagement rates and improved customer satisfaction.

4. Predictive Analytics Driving Inventory and Marketing Decisions

AI is not just improving the customer-facing side of shopping; it’s also transforming back-end operations. Predictive analytics tools now help businesses forecast demand, optimize inventory, and personalize marketing campaigns.

Retailers can now identify which products will trend in a specific region, determine optimal pricing strategies, and even plan promotions based on predicted shopping behavior. These advanced tools are typically implemented with the support of an experienced AI software development company that understands both the technical and strategic sides of AI integration.

5. Seamless Omnichannel Experiences

In 2025, the lines between online and offline shopping are increasingly blurred. AI allows retailers to deliver consistent, seamless experiences across multiple channels from websites and mobile apps to physical stores and smart kiosks.

For example, a shopper might add an item to their cart via an app and receive a reminder when they walk into a nearby store. With the right AI shopping app development strategy, businesses can integrate AI across platforms, ensuring customers feel recognized and supported at every touchpoint.

The Road Ahead for Retailers

To continue these trends, retailers must invest in AI strategically. That often means partnering with an experienced development company that can guide everything from solution design to implementation. Whether it’s creating intelligent chatbots, integrating voice search, or building predictive analytics tools, a trusted development partner is key to navigating the complex AI landscape.

Final Thoughts

AI is more than a trend; it's a fundamental shift in how shopping works. As we navigate 2025, the brands that embrace AI not just as a tool but as a core part of their customer experience will lead the market. From AI chatbots and voice search to predictive analytics and hyper-personalized applications, AI is reshaping the way consumers shop, engage, and buy.

Now is the time for retailers to future-proof their business with the right technology and partners, and that begins with choosing the right AI software development company to bring their vision to life.

[ai-agency-india]

Why Global Enterprises Are Partnering with the Top AI Companies in India

Artificial Intelligence (AI) is revolutionizing the way businesses operate. From automating mundane tasks to predicting market trends, AI is becoming an integral part of modern digital transformation strategies. Today, global enterprises are not just experimenting with AI; they are investing heavily in scalable, intelligent solutions to gain a competitive edge. A key trend emerging in this landscape is the growing number of partnerships between international organizations and top AI companies in India.India has steadily positioned itself as a global technology leader, especially in the AI and data science space. Companies like WebSenor are helping bridge the innovation gap by offering high-quality, cost-effective, and scalable AI solutions to clients across the globe.

India’s Emergence as a Global AI Hub

A Convergence of Talent, Technology, and Investment

India’s rise in the global AI market is the result of a powerful mix: a large talent pool, rapid technological adoption, and strong institutional support. The country boasts thousands of skilled professionals including data scientists, AI engineers, and machine learning experts. Government initiatives such as the National AI Mission and support from private institutions have catalyzed growth, making India an ideal ground for AI development.

Furthermore, academic institutions and research bodies are actively contributing to the artificial intelligence industry in India, leading to innovations in machine learning, deep learning, and natural language processing.

Cost Efficiency with High-Quality Output

Compared to the U.S. or European markets, India offers significant cost advantages without sacrificing quality. Whether it's AI-powered software companies or data science companies in India, the value delivered per dollar spent is considerably higher. This makes India a lucrative outsourcing destination for AI projects.

Why Enterprises Prefer Indian AI Companies for Strategic Partnerships

Proven Track Record in Enterprise AI Solutions

Indian AI firms like WebSenor have developed solutions for industries such as healthcare, retail, logistics, education, and finance. Their ability to deliver enterprise-grade AI models, intelligent automation systems, and analytics platforms has made them preferred technology partners.

WebSenor, in particular, stands out with a robust portfolio showcasing successful deployments and measurable business results, including cost savings, process efficiencies, and improved customer engagement.

Access to End-to-End AI Development Capabilities

Global enterprises prefer working with AI service providers in India that offer end-to-end capabilities. WebSenor provides a comprehensive suite of services, from data preprocessing and model training to cloud deployment and monitoring. This full-stack approach ensures seamless integration and long-term reliability.

Focus on Responsible & Ethical AI

Today, responsible AI is more important than ever. WebSenor adheres to ethical guidelines by ensuring data privacy, model transparency, and compliance with global standards such as GDPR and HIPAA. Their use of explainable AI methods and secure infrastructure makes them a trusted AI partner.

Key Services Offered by Top AI Companies in India

AI-Powered Data Analytics and Business Intelligence

India's leading AI startups and technology firms are leveraging AI to build advanced analytics platforms. These tools help businesses perform customer segmentation, sales forecasting, and predictive maintenance. WebSenor has helped multiple global clients drive decisions using AI-powered dashboards and predictive insights.

Intelligent Automation and RPA

Robotic Process Automation (RPA) powered by AI is transforming back-office operations. WebSenor delivers solutions that automate repetitive tasks, reducing manual labor and operational costs.

NLP and Conversational AI Solutions

Virtual assistants, smart chatbots, and multilingual sentiment analysis engines are redefining customer service. WebSenor’s NLP models are particularly effective in regional and global markets, offering high precision in diverse languages.

Computer Vision and Image Recognition

From facial recognition systems to defect detection in manufacturing, computer vision is widely applied. WebSenor’s image recognition tools are used in security surveillance, retail analytics, and healthcare diagnostics.

Custom AI Model Development and Deployment

WebSenor offers bespoke AI development services, tailoring models to unique enterprise challenges. They work with proprietary datasets, enabling high-performance outcomes in real-time environments.

The WebSenor Advantage in the Global AI Landscape

Years of Cross-Industry Experience

WebSenor has worked across domains such as BFSI, healthcare, logistics, and e-commerce. Their experience in deploying scalable AI solutions for Fortune 500 companies and startups alike makes them one of the best AI companies in India.

Collaborative Engagement Models

WebSenor believes in transparent communication, offering flexible engagement models including dedicated teams, fixed-cost, and Agile-based time & material projects. Clients benefit from clear deliverables and continuous reporting.

Trusted by Global Clients

WebSenor's clientele includes businesses in North America, Europe, the Middle East, and Southeast Asia. Their ability to adapt to different cultures and time zones has helped foster long-term relationships.

India vs Other Global AI Outsourcing Destinations

Comparison with Eastern Europe, China, and LATAM

While countries like Ukraine, Brazil, and China offer strong outsourcing ecosystems, India outperforms in areas like language fluency, data protection laws, and cultural compatibility with Western clients. The concentration of AI technology firms in India also offers a broader spectrum of services.

Strategic Location and Time-Zone Overlap

India’s location allows 24/7 productivity. WebSenor offers around-the-clock support and aligns working hours with client time zones for real-time collaboration and faster turnaround times.

Real Impact: Case Studies from WebSenor’s AI Portfolio

Predictive Analytics for a US-Based Retail Chain

WebSenor developed a sales forecasting model that improved inventory accuracy by 35% and reduced stockouts by 22%.

AI Chatbot for a European Fintech Startup

A conversational AI solution reduced customer service response times by 60% and improved user engagement through real-time support.

Vision-Based Quality Control System for a Global Manufacturer

WebSenor implemented an AI-based image recognition system that reduced manual inspection time by 40% and increased product quality.

E-E-A-T in Action: Why WebSenor Earns Enterprise Trust

Experienced Teams with Recognized Credentials

WebSenor’s team includes AI PhDs, certified data scientists, and engineers with experience in real-world enterprise deployments. Their collective expertise ensures project success.

Authoritative Insights and Thought Leadership

The company contributes to academic papers, presents at global AI conferences, and publishes whitepapers. This commitment to thought leadership enhances their authority in the space.

Trust-Building Through Transparency and Compliance

With strict adherence to SLAs, NDAs, and ISO-compliant practices, WebSenor ensures a trustworthy working relationship from day one.

What to Look for When Choosing an AI Company in India

Portfolio depth: Look for real, measurable results.

Domain knowledge: Industry-specific experience improves output.

Scalability: Can the partner support future growth?

Data ethics: Transparent AI practices are non-negotiable.

WebSenor meets and exceeds these standards, making them a leading choice among artificial intelligence companies in India.

Conclusion: The Future Is AI-Powered and Borderless

The demand for AI is no longer limited to a few industries. From healthcare to finance, AI is becoming essential for innovation, efficiency, and scalability. By partnering with the top AI companies in India, enterprises gain not only a cost advantage but also access to world-class expertise and innovation. WebSenor, as a trusted artificial intelligence agency, brings together the best of talent, technology, and trust. It isn’t just about outsourcing anymore; it’s about building future-ready partnerships that drive global digital transformation.

FAQs: Partnering with AI Companies in India

What industries benefit the most from AI partnerships?

Industries such as healthcare, finance, e-commerce, manufacturing, and logistics see the highest impact from AI implementations.

How secure is outsourcing AI development to India?

With firms like WebSenor following global security standards (ISO, GDPR, HIPAA), outsourcing is both safe and reliable.

Can Indian AI companies handle large-scale, enterprise projects?

Yes. Top Indian firms are equipped with the infrastructure and talent to manage multi-million dollar, multi-year projects.

What makes WebSenor different from other AI firms?

WebSenor offers end-to-end solutions, ethical AI practices, cross-domain experience, and global delivery capabilities—making it a preferred partner for global enterprises.

[ioweb3tech]

AI Product Development: Transforming Ideas into Intelligent Solutions

In today’s rapidly evolving digital landscape, Artificial Intelligence (AI) has emerged as the cornerstone of innovation. From personalizing customer experiences to automating complex workflows, AI is transforming how businesses operate. One of the most powerful ways organizations are leveraging this technology is through AI product development—a strategic process that builds intelligent software products designed to think, learn, and evolve.

If you're a startup founder, enterprise leader, or product manager looking to integrate AI into your offerings, understanding the ins and outs of AI product development is crucial. Let’s explore what it entails, how it benefits your business, and why partnering with the right tech team can be a game-changer.

What is AI Product Development?

AI product development refers to the end-to-end process of conceptualizing, designing, developing, testing, and deploying software solutions powered by artificial intelligence. These products can range from chatbots and recommendation engines to advanced data analytics tools and predictive systems.

At its core, AI product development focuses on creating applications that mimic human cognition—learning from data, recognizing patterns, making decisions, and continuously improving.

✅ Key components include:

Data Engineering: Collecting and structuring quality data.

Model Training: Using machine learning and deep learning algorithms.

Product Integration: Seamless integration into digital ecosystems.

Deployment & Monitoring: Real-time performance tracking and improvements.

Explore more about AI product development.

Why AI Products Matter in 2025

The integration of AI into digital products is no longer a luxury—it's a competitive necessity. Here’s why businesses are investing in AI-powered solutions:

Increased Efficiency: AI automates repetitive tasks, saving time and resources.

Smarter Decision-Making: AI-driven analytics provide deeper insights.

Scalability: AI enables businesses to handle large-scale operations without increasing human resources.

Personalized User Experience: From Netflix recommendations to AI-powered chat support, intelligent systems tailor experiences in real-time.

Forward-thinking web3 development companies are blending AI with decentralized technologies to build intelligent and secure platforms, redefining digital ecosystems across industries.

The AI Product Development Lifecycle

Creating an AI product requires more than just hiring a few data scientists. It involves a collaborative, strategic approach combining data science, software engineering, UX design, and business acumen. Here’s a typical development process:

1. Discovery & Strategy

Define the problem your AI solution will solve. Assess the data availability, market need, and business value. Build a product roadmap aligned with your goals.

2. Data Collection & Preparation

AI is only as smart as the data it learns from. This phase involves sourcing, cleaning, and structuring high-quality data.

3. Model Development

This is where machine learning and deep learning come in. Models are trained, tested, and fine-tuned for accuracy and performance.

4. Product Design & Integration

Human-centric UI/UX design is integrated with the AI engine to ensure a seamless user experience.

5. Deployment & Optimization

After rigorous testing, the product is deployed. AI models are monitored continuously and improved over time.

Many SaaS experts are now leveraging this methodology to embed AI directly into cloud-based software platforms, offering smarter, self-learning SaaS products.

Common Use Cases of AI Products

Customer Support: AI chatbots and virtual assistants available 24/7.

E-Commerce: Personalized recommendations and demand forecasting.

Healthcare: Predictive diagnostics and patient data analysis.

Finance: Fraud detection and robo-advisory systems.

Marketing: Sentiment analysis and campaign performance predictions.

These applications have made AI a core component of next-generation digital solutions.

Challenges in AI Product Development

While the benefits are immense, developing AI products comes with its own set of challenges:

Data Privacy: Complying with GDPR, HIPAA, etc.

Model Bias: Ensuring fairness and neutrality in decisions.

Scalability: Designing models that grow with your user base.

Talent Gap: It’s essential to hire developers with deep expertise in AI frameworks and algorithms.

These hurdles can be effectively overcome with the right AI partner who brings both technical depth and product insight.

Partnering with the Right AI Development Team

Choosing the right development partner can define the success of your AI product. Look for a team with:

Experience in both AI and scalable software architecture.

Proven success in launching intelligent products.

A clear development methodology and post-launch support.

Whether you're building a smart SaaS platform, an AI-driven mobile app, or a blockchain-integrated AI solution, a hybrid team of SaaS experts, machine learning engineers, and product managers can fast-track your development while ensuring quality and compliance.

Future Trends in AI Product Development

As we move forward, the AI product landscape will continue to evolve:

AI + Web3: Decentralized intelligence systems that are secure, autonomous, and trustless.

Explainable AI (XAI): Making AI decisions transparent and understandable.

Edge AI: Running AI models locally on devices for faster performance.

Generative AI: From content creation to synthetic media and autonomous design.

Innovative web3 development companies are at the forefront of these intersections, developing decentralized AI agents, smart contracts with intelligent triggers, and metaverse-ready AI solutions.

Final Thoughts

The rise of AI is not just a tech revolution—it’s a business revolution. Investing in AI product development allows organizations to build intelligent, efficient, and highly competitive products tailored to future market demands.

By leveraging AI in a thoughtful, user-focused manner, you not only future-proof your offerings but also provide real, measurable value to your users. From automation to personalization, the AI-first era is already here—and it’s time to build smart.If you’re ready to start building your next AI-powered product, begin your journey with AI product development today.

[techit-rp]

How Voice Search and AI Are Redefining Digital Marketing in 2025

In 2025, voice search and artificial intelligence (AI) are not just trends—they're fundamentally reshaping how brands reach and engage customers. With over 1 billion voice-enabled devices in use globally and AI tools optimizing everything from ad targeting to content creation, digital marketing is evolving faster than ever.

If you're a marketing enthusiast or professional aiming to stay ahead, now is the ideal time to explore a digital marketing course in Mumbai that prepares you for this AI-powered future.

The Rise of Voice Search in Digital Marketing

With the surge in smart speakers and voice assistants like Alexa, Google Assistant, and Siri, consumers are searching differently. Instead of typing keywords, they’re asking complete questions:

“What’s the best pizza place near me?”

“Where can I find affordable sneakers online?”

“Which digital marketing course in Mumbai has the best reviews?”

These voice queries are more conversational, longer, and location-based, requiring marketers to rethink their SEO strategies.

Why It Matters:

Voice search is faster and more convenient than typing.

Over 50% of all online searches are now voice-based.

Local businesses benefit heavily from "near me" voice queries.

Optimizing for voice search means writing content in natural language, using long-tail keywords, and focusing on FAQs and featured snippets.

AI Is Supercharging Digital Marketing

AI is no longer limited to predictive analytics—it now plays a direct role in campaign creation, content strategy, and user experience. Here’s how:

1. Content Generation and Personalization

AI tools like ChatGPT are helping marketers:

Write blog posts

Generate email campaigns

Create product descriptionsAll within seconds, and tailored to specific audiences.

2. Smarter Ad Targeting

AI platforms analyze user behavior, interests, and real-time data to serve ads that are more relevant. This reduces wasted ad spend and improves conversion rates.

3. Chatbots and Virtual Assistants

Brands now use AI-powered bots to engage visitors 24/7, answer questions, and drive sales—all without human intervention.

4. Predictive Customer Insights

AI helps forecast which customers are likely to churn, convert, or upsell—so marketers can act proactively.

What This Means for Digital Marketers

The future belongs to marketers who understand both tech and human psychology. You’ll need to:

Optimize content for voice search

Use AI tools effectively for content and analytics

Keep pace with new platforms and automation software

Balance creativity with data-driven strategy

To thrive in this changing landscape, enrolling in a digital marketing course in Mumbai that covers these technologies is not just helpful—it’s essential.

Why Learn Digital Marketing in Mumbai?

Mumbai is India’s marketing and media capital. With its thriving startup culture, corporate presence, and access to top trainers and agencies, learning digital marketing in Mumbai offers:

Industry-relevant curriculum

Hands-on tools like Google Ads, Meta Ads, and SEO platforms

Networking with agencies and brands for internships and placements

Exposure to real-world marketing campaigns in India’s most competitive market

One such institution, the Boston Institute of Analytics, offers a highly rated digital marketing course in Mumbai that covers voice search, AI tools, Google and Meta ad platforms, SEO, email marketing, influencer strategy, and much more—all taught by industry experts.

Skills You’ll Need for the Voice + AI Era of Marketing

To stay relevant in 2025 and beyond, here are key skills every digital marketer should build:

Voice Search OptimizationUnderstanding how people speak vs. type, and tailoring content accordingly.

AI Tool ProficiencyLearning how to use ChatGPT, Jasper, SurferSEO, and AI ad generators.

Data Analysis and AutomationKnowing how to read data and use platforms like HubSpot, Google Analytics 4, and SEMrush.

Conversational Content WritingCrafting human-like, voice-optimized content that speaks to the user’s intent.

Final Thoughts: Are You Future-Ready?

AI and voice technology are revolutionizing the way brands communicate. Consumers expect instant, intelligent, and personalized experiences—and marketers must evolve to deliver just that.

If you’re looking to future-proof your career, enrolling in a digital marketing course in Mumbai that covers AI, voice search, automation, and strategy is your first step toward success.

Don’t just keep up with digital marketing—lead it.

[skyfallights]

Gesture Recognition and Touchless Sensing Market Size Powering the Future of Human-Machine Interaction

The Gesture Recognition and Touchless Sensing Market Size is revolutionizing how humans interact with machines, offering intuitive, seamless, and hygienic solutions across industries. As technology continues to evolve toward natural user interfaces, gesture and touchless systems are becoming integral to consumer electronics, automotive infotainment, healthcare diagnostics, and industrial automation. According to Market Size Research Future, the global market is projected to grow from USD 15.3 billion in 2022 to USD 56.3 billion by 2030, expanding at an impressive CAGR of 17.5% during the forecast period (2022–2030).

This remarkable growth is driven by increasing demand for contactless control, hygiene concerns post-pandemic, and the integration of AI and computer vision technologies into everyday devices.

Market Size Overview

Gesture recognition and touchless sensing technologies enable users to control devices through facial movements, body gestures, or even eye tracking—eliminating the need for physical interaction. These technologies use cameras, ultrasonic sensors, infrared detectors, and software algorithms to interpret user inputs. From swipe gestures on smartphones to hand-tracking in AR/VR headsets and motion-based commands in vehicles, the applications are vast and rapidly expanding.

As digital interfaces become more immersive, industries are integrating these technologies to improve user experience, enhance accessibility, and meet hygiene standards. Advances in deep learning, 3D imaging, and motion sensors are making touchless interfaces smarter, faster, and more reliable.

Enhanced Market Size Segmentation

To analyze the market comprehensively, segmentation is classified as follows:

By Technology:

Touchless Gesture Recognition

Vision-based

Infrared-based

Ultrasonic

Capacitive/Electric Field

Touch-based Gesture Recognition

Wearables

Multi-touch Screens

Motion Detectors

By Product:

Touchless Sanitary Equipment

Contactless Biometric Devices

Smartphones/Tablets

Smart TVs

Gaming Consoles

Automotive Infotainment Systems

By Market Size/Application:

Consumer Electronics

Automotive

Healthcare

Gaming and Entertainment

Banking and Finance

Industrial Automation

Aerospace & Defense

By Region:

North America

Europe

Asia-Pacific

Latin America

Middle East & Africa

Market Size Trends

1. Post-Pandemic Surge in Touchless Interfaces

The COVID-19 pandemic has accelerated demand for touch-free technologies in public and commercial environments, particularly in healthcare, retail, and banking, where hygiene and safety are priorities.

2. Integration with Augmented and Virtual Reality

Gesture recognition is vital in AR/VR applications for gaming, education, and virtual collaboration. Hand tracking and eye movement control offer a more immersive and intuitive user experience.

3. AI-Powered Gesture Recognition

Artificial Intelligence is enhancing gesture interpretation accuracy and enabling real-time response. Machine learning models are being trained to recognize nuanced gestures, facial expressions, and behavioral patterns.

4. Automotive Applications Expanding Rapidly

In smart vehicles, touchless systems improve driver safety and convenience by enabling control of navigation, media, and climate settings with simple hand or head movements.

5. Wearables and Smart Homes

From smartwatches to smart TVs and voice assistants, touchless sensing is becoming a standard feature, allowing consumers to interact with devices in increasingly natural ways.

Segment Insights

Vision-Based Gesture Recognition Dominates Technology

Vision-based recognition using cameras and 3D sensors leads the market due to its versatility and increasing integration into consumer electronics and gaming platforms.

Consumer Electronics Leads in Application

Smartphones, tablets, and smart TVs dominate due to rising demand for intuitive control methods. The popularity of gesture-controlled mobile apps and AR games continues to rise.

Healthcare Is a Fast-Growing Segment

Hospitals are adopting gesture- and voice-based control systems in operating rooms to allow surgeons and medical staff to access patient data and imaging equipment hands-free, maintaining sterility.

End-User Insights

Automotive Sector

In-vehicle gesture recognition improves driving safety by reducing driver distraction. Features like adjusting volume, answering calls, or opening sunroofs through gestures are being integrated into high-end vehicles.

Gaming and Entertainment

Gaming consoles and VR headsets now incorporate motion sensors and cameras that recognize body movements, transforming user engagement. Players can interact within a game without physical controllers.

Banking and Finance

ATMs and kiosks in banks are adopting touchless interfaces to provide secure and sanitary transactions. Contactless biometric authentication is also gaining traction for digital onboarding and security.

Industrial and Commercial Environments

Factories and warehouses are leveraging gesture controls for robotics and machinery to enhance worker safety and reduce contamination. In retail, kiosks and digital signage increasingly rely on touchless interactions.

Key Players

Several major tech companies and startups are investing in gesture recognition and touchless sensing solutions. Key players include:

Microsoft Corporation

Apple Inc.

Google LLC

Sony Corporation

Infineon Technologies AG

Qualcomm Technologies, Inc.

Cognitec Systems GmbH

Microchip Technology Inc.

GestureTek

PointGrab Ltd.

These companies are developing new algorithms, acquiring sensor manufacturers, and integrating gesture capabilities into operating systems, automotive platforms, and smart home devices.

Future Outlook

As industries push for greater digital transformation, touchless and gesture-controlled interfaces will play a crucial role in shaping the future of interaction. From public spaces to personal devices, the adoption of intuitive and hygienic interfaces is becoming a user expectation rather than a luxury.

In the years ahead, we can expect:

Wider adoption in smart cities, healthcare, and retail

Gesture recognition powered by edge AI

Expansion into IoT ecosystems

Enhanced accessibility features for differently-abled users

Gesture recognition and touchless sensing technologies are transitioning from novelty to necessity, setting a new standard for how we interact with the digital world.

Trending Report Highlights

Explore these key related markets shaping the future of intelligent systems and human-machine interfaces:

Converged Data Center Infrastructure Market Size

Adaptive Robot Market Size

Torque Sensor Market Size

Network Security Appliance Market Size

Linear Motor Market Size

Multi-Vendor Support Services Market Size

Insulation Monitoring Devices Market Size

Automated 3D Printing Market Size

Collimating Lens Market Size

Electronic Access Control Systems Market Size

Equipment Monitoring Market Size

Track Geometry Measurement System Market Size

Microprinting Market Size

[mariastamolis]

PropTech Trends

Property technology, or PropTech, covers digital tools and platforms that make real estate tasks easier. Starting in the late 1980s, PropTech focused on investment and portfolio management. With the rise of the internet, PropTech has grown, reaching a market value of $18.2 billion today, with strong growth expected by 2032. Several trends are shaping the industry.

Key technologies like artificial intelligence lead PropTech trends, helping real estate players better grasp the market. AI handles vast, complex data sets with ease. AI-powered chatbots improve customer service, responding to queries quickly. Predictive analytics, leveraging AI, use past and present market info to forecast future trends, guiding investors’ choices. For instance, tools such as SmartZip can predict which properties might go on sale soon, helping users create marketing strategies and streamline communication processes.

Virtual home tours have also taken off, pushed further by the COVID pandemic. Before, investors and individual buyers had to visit properties in person. Now, virtual and augmented reality tools let realtors, landlords, and rental hosts build 3D walkthroughs. Clients can view and explore these properties on their phones from anywhere, anytime.

Further, virtual real estate in the metaverse has opened new investment pathways. Investors can now buy and develop virtual real estate in digital worlds, like Decentraland, and generate revenue through virtual storefronts, event spaces, and advertising.

PropTech companies are also building asset management systems that consolidate multiple real estate platforms into one easy-to-use interface, improving workflows and accessibility. A Dallas-based company, Dottid, created Asset OS, a system with tools for deal-making, construction management, and property finance management. The system supports stacking plans, schedules, and property activity monitoring. Such tools save commercial real estate (CRE) firms time and money while offering precise data and insights for better decision-making.

Automation trends drive PropTech by improving efficiency across various real estate roles like marketing, property valuation, and communication. When these tasks run through automated project management software, real estate professionals like property managers, investors, and agents can spend more time growing their businesses and finding new leads. A Commercial Observer report notes that automation and other key tech solutions helped push PropTech venture capital investments to $15.1 billion in 2024, tackling real estate challenges head-on.

New platforms are emerging that link PropTech startups with early-stage investors and venture capital firms eager to back promising companies looking to scale. For instance, Venture Connect, a platform by the Center for Real Estate Technology and Innovation, matches startups with investors based on investment profiles and interests. By simplifying capital raising, this approach allows entrepreneurs to spend more time running their businesses. Some platforms also offer free monthly sessions to teach PropTech companies how to be investor-ready.

Fractional investing, powered by PropTech, opens real estate investment to more people, letting them buy property shares for as little as $50. By broadening access to real estate assets, this strategy breaks down barriers that once limited investment only to big investors. Companies like OpenAI have also built AI assistants, such as Alma, to give investors key details like rental income or repair costs and match property searches to individual investment strategies.

Another big PropTech trend is investing in platforms to simplify property management and leasing. CBRE Group, Inc., a CRE services and investment company, exemplifies this. It put $125 million into VTS, a leasing and property management software maker, to upgrade its platform and enhance experiences for tenants and property managers. This move highlights how tech-driven property management is growing in CRE and points to а rising need for digital tools that smooth operations.

[cybersecurityict]

Artificial Intelligence Market gains unstoppable growth traction through 2032

The Artificial Intelligence Market was valued at USD 178.6 Billion in 2023 and is expected to reach USD 2465.8 Billion by 2032, growing at a CAGR of 33.89% from 2024-2032.

U.S. remains a dominant hub for AI innovation, investment, and adoption across both public and private sectors

Artificial Intelligence Market is experiencing exponential growth as enterprises integrate AI-driven solutions to boost operational efficiency, accelerate automation, and deliver smarter customer experiences. With applications spanning across healthcare, finance, automotive, retail, and manufacturing, AI is redefining how industries innovate, scale, and serve.

Artificial Intelligence Market continues to transform rapidly, fueled by advancements in machine learning, NLP, and computer vision technologies. Tech giants and startups alike are driving ecosystem-wide innovation, creating a competitive landscape filled with opportunities for next-gen solutions and strategic collaborations.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/2801 

Market Keyplayers:

Google (Alphabet Inc.) - Google AI

IBM - IBM Watson

Microsoft - Azure AI

Amazon Web Services (AWS) - AWS Deep Learning AMIs

NVIDIA Corporation - NVIDIA DGX Systems

Intel Corporation - Intel Nervana

Baidu, Inc. - Baidu AI

Salesforce - Salesforce Einstein

Apple Inc. - Siri

Tencent - Tencent AI Lab

SAP - SAP Leonardo

Adobe Inc. - Adobe Sensei

OpenAI - GPT-3

Market Analysis

The AI market is propelled by increasing data availability, improved algorithms, and rising demand for intelligent automation. Organizations are embedding AI into their workflows to drive accuracy, reduce costs, and uncover actionable insights. The market is also witnessing a surge in AI-as-a-Service (AIaaS) models, allowing scalable adoption for small to large enterprises.

Government initiatives, particularly in the U.S. and parts of Europe, are playing a pivotal role in advancing research, funding, and regulatory support. Meanwhile, ethical AI and data privacy remain key focus areas, shaping responsible innovation across industries.

Market Trends

Rapid deployment of AI in cybersecurity, fraud detection, and predictive maintenance

Growth in generative AI tools transforming content creation and software development

Expansion of edge AI for real-time processing in IoT devices

AI integration in customer service via chatbots and virtual assistants

Rise of explainable AI to increase transparency and trust

Development of industry-specific AI models for targeted applications

Increased collaboration between tech firms and academia to accelerate breakthroughs

Market Scope

The scope of the Artificial Intelligence Market is both broad and dynamic, reflecting AI’s role as a transformative engine across sectors. Businesses are not just exploring AI��they are embedding it as a core strategy.

AI in healthcare for diagnostics, drug discovery, and patient monitoring

Automation in finance for risk assessment and trading strategies

Smart manufacturing powered by AI-led robotics and supply chain optimization

Personalized marketing and consumer analytics in retail

AI-driven mobility and autonomy in automotive industries

Cloud-based AI platforms simplifying deployment for enterprises

Forecast Outlook

The future of the Artificial Intelligence Market is shaped by evolving technologies and increasing enterprise confidence in AI solutions. Continued investment, particularly in cloud infrastructure and open-source AI tools, is expected to democratize access and drive deeper market penetration. As organizations move beyond experimentation to full-scale implementation, AI is poised to become a foundational driver of digital transformation across the global economy.

Access Complete Report: https://www.snsinsider.com/reports/artificial-intelligence-market-2801 

Conclusion

Artificial Intelligence is no longer a futuristic concept—it’s the centerpiece of modern innovation. From revolutionizing diagnostics in Boston hospitals to powering autonomous systems in Berlin, the global momentum behind AI is undeniable. As businesses and governments align to shape an intelligent future, those investing in responsible, scalable, and human-centric AI will lead the next wave of transformation.

Related Reports:

U.S.A Eye Tracking Market set to revolutionize user experience with cutting-edge innovations

U.S.A witnesses rising demand for Endpoint Detection and Response (EDR) solutions amid growing cyber threats

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

Mail us: info@snsinsider.com

[rutkdm]

Asia Pacific Location Based Services Market

Meticulous Research®—a leading global market research company, published a research report titled, Asia-Pacific Location-based Services Market by Component, Technology (GNSS, GPS), Application (Navigation, Mapping & GIS), Location Type, End-use Industry (Transportation & Logistics, Retail & E-commerce), and Geography -Forecast to 2031.’

According to this latest publication from Meticulous Research®, the Asia-Pacific location-based services market is projected to reach $118.2 billion by 2031, at a CAGR of 17.3% from 2024–2031.The growth of the Asia-Pacific location-based services is driven by the proliferation of location-based services in the retail sector and the surging use of location-based services in the agriculture sector. However, dynamic government rules and regulations for location-based services restrain the growth of this market. Furthermore, constant upgrades in mapping and navigation solutions are expected to generate growth opportunities for the players operating in this market. However, the high costs of procuring and implementing location-based services are a major challenge impacting market growth. Additionally, the use of 5G technology for improved real-time analysis and the development of GIS software using augmented reality (AR)/virtual reality (VR) technologies are prominent trends in this market.

The Asia-Pacific location-based services market is segmented by component (platforms/solutions [location-powered mobile apps, location intelligence platforms, and location-based messaging] and professional services [mapping services, implementation & support, and consulting & development services]), technology (global navigation satellite system, global positioning system [assisted GPS and enhanced GPS], Wi-Fi, near-field communication, and other technologies), applications (navigation [smart parking, route planning, and other navigation applications], geo-marketing & advertising/target marketing, mapping & GIS, tracking [valuables & stolen goods tracking, pet tracking, parolees tracking, and child tracking], social networking [chat & instant messaging services, dating apps, and friend locator apps], infotainment, commercial applications, and other applications), location type (outdoor and indoor), end-use industry (government & public sector, transportation & logistics, smart cities, retail & E-commerce, consumer goods, media & entertainment, travel & tourism, BFSI, IT & telecom, healthcare, hospitality, aerospace & defense, energy & utilities, automotive, agriculture, education, and manufacturing), and country/region. The study also evaluates industry competitors and analyses the market at the country and regional levels.

Based on component, the Asia-Pacific location-based services market is segmented into platforms/solutions and professional services. In 2024, the platforms/solutions segment is expected to account for the larger share of the Asia-Pacific location-based services market. The large market share of this segment is attributed to the increasing focus by market players to launch location-based solutions, the increasing popularity of location-powered mobile apps, the growing need for location intelligence platforms to analyze and visualize geographic and location-based data, and the increasing adoption of location-based messaging platforms among consumers.

Also, this segment is projected to register the highest CAGR during the forecast period.

Based on technology, the Asia-Pacific location-based services market is segmented into global navigation satellite systems, global positioning systems, Wi-Fi, near-field communication, and other technologies. In 2024, the global navigation satellite system segment is expected to account for the largest share of the Asia-Pacific location-based services market. The large market share of this segment is attributed to the diverse range of applications of GNSS, including precise positioning and real-time location tracking. Additionally, the growing demand for location-based advertising and the increasing need for GNSS in asset management contributes to the significant market share of this segment.

Additionally, this segment is projected to register the highest CAGR during the forecast period.

Based on application, the Asia-Pacific location-based services market is segmented into navigation, geo-marketing & advertising/target marketing, mapping & GIS, tracking, social networking, infotainment, infotainment, and other applications. In 2024, the navigation segment is expected to account for the largest share of the Asia-Pacific location-based services market. The segment’s large market share is attributed to the rapid implementation of comprehensive navigation solutions by automakers and the increasing initiatives by leading LBS players to develop automotive navigation services.

However, this segment is expected to register the highest CAGR during the forecast period.

Based on location type, the Asia-Pacific location-based services market is segmented into outdoor and indoor. In 2024, the outdoor segment is expected to account for the largest share of the Asia-Pacific location-based services market. The segment’s large market share is attributed to the rising demand for outdoor location-based services for various applications, including improved navigation and mapping applications, asset tracking applications, outdoor proximity marketing applications, and the increasing deployments of outdoor applications, particularly for automotive and pet tracking applications.

However, the indoor segment is expected to register the highest CAGR during the forecast period due to the growing need to track people and objects within a set space and the increasing implementation of indoor locations to navigate environments like shopping malls, airports, or large buildings more efficiently.

Based on end-use industry, the Asia-Pacific location-based services market is segmented into government & public sector, transportation & logistics, smart cities, retail & E-commerce, consumer goods, media & entertainment, travel & tourism, BFSI, IT & telecom, healthcare, hospitality, aerospace & defense, energy & utilities, automotive, agriculture, education, and manufacturing. In 2024, the transportation & logistics segment is expected to account for the largest share of the Asia-Pacific location-based services market. The segment’s large market share is attributed to the increasing need for real-time tracking of vehicles using GPS, the growing use of location intelligence tools to analyze traffic patterns and congestion in real time, and the increasing usage of location intelligence tools for route optimization.

However, the retail & E-commerce segment is expected to register the highest CAGR during the forecast period due to the rising need for location-based data for targeted marketing campaigns, the increasing popularity of location-based surveys and feedback collection tools, the growing usage of retail asset management tools, and the increasing need for supply chain management in the retail sector.

Based on country/region, the Asia-Pacific location-based services market is segmented into Japan, China, India, South Korea, Singapore, Taiwan, Australia & New Zealand, Malaysia, Thailand, Philippines, Indonesia, Vietnam, and the Rest of Asia-Pacific. In 2024, China is expected to account for the largest share of the Asia-Pacific location-based services market. The large share of this market is mainly attributed to factors such as the growing demand for automated smart driving solutions, rising launches of autonomous cars, trucks, and construction vehicles, a boom in GNSS hardware, and effective usage of drones in hospital operations support the growth of the LBS market in China.

However, India is expected to register the highest CAGR during the forecast period due to the increasing demand for drone-based operations by state governments, increasing initiatives by local players, and increasing collaborations between market players for new product launches.

Key Players The key players operating in the Asia-Pacific location-based services market are HERE Global B.V. (Netherlands), Google LLC (U.S.) (A Subsidiary of Alphabet Inc.), TomTom N.V. (Netherlands), Esri (U.S.), Hexagon AB (Sweden), Trimble Inc. (U.S.), Cisco Systems, Inc. (U.S.), QUALCOMM Incorporated (U.S.), Microsoft Corporation (U.S.), AT&T Inc. (U.S.), Zebra Technologies Corporation (U.S.), ALE International (France), Precisely (U.S.), Rohde & Schwarz GmbH & Co. KG (Germany), and Nextbillion.AI Pte. Ltd. (Singapore).

Download Sample Report Here @ https://www.meticulousresearch.com/download-sample-report/cp_id=5784

Key Questions Answered in the Report:

Which are the high-growth market segments in terms of component, technology, application, location type, and end-use industry?

What is the historical market size for the Asia-Pacific location-based services market?

What are the market forecasts and estimates for 2024–2031?

What are the major drivers, restraints, opportunities, challenges, and trends in the Asia-Pacific location-based services market?

Who are the major players in the Asia-Pacific location-based services market, and what are their market shares?

What is the competitive landscape like?

What are the recent developments in the Asia-Pacific location-based services market?

Contact Us: Meticulous Research® Email- sales@meticulousresearch.com Contact Sales- +1-646-781-8004 Connect with us on LinkedIn- https://www.linkedin.com/company/meticulous-research

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U.S Virtual and Augmented Reality Market Setting New Growth Cycle; Get 2025 Edition Now

This report presents a comprehensive analysis of the Virtual and Augmented Reality Market, By Component (Hardware and Software), By Technology (Virtual Reality Technology, Augmented Reality Technology), By Organization Size (Small Enterprises, Medium Enterprises, and Large Enterprises), By Application (Healthcare, E-Commerce & Retail, Education, Aerospace & Defense, Gaming & Entertainment, Automotive, Manufacturing, and Others), By Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) - Trends, Analysis and Forecast till 2032 , providing stakeholders with valuable insights into its growth trajectory, opportunities, and challenges. The study explores key market dynamics, trends, competitive landscape, and future projections to assist decision-makers in strategic planning. U.S Virtual and Augmented Reality Market Overview Industry Insights Current market status and key drivers shaping the industry. Emerging trends and innovations impacting market evolution. Economic and regulatory factors influencing market performance. Get a free sample of the report:https://www.prophecymarketinsights.com/market_insight/Insight/request-sample/1480 Some of the major players covered in the market research report are: Apple Inc. Samsung Electronics Co. Ltd. Qualcomm Technologies Inc. The NineHertz EON Reality Inc. Google Inc. Microsoft Corporation Laster Technologies Facebook Inc. Vuzix Corporation and others.   U.S Virtual and Augmented Reality Market Scope & Segmentation By Component: Hardware, Software By Technology: Virtual Reality Technology, Augmented Reality Technology By Organization Size: Small Enterprises, Medium Enterprises, Large Enterprises By Application: Healthcare, E-Commerce & Retail, Education, Aerospace & Defense, Gaming & Entertainment, Automotive, Manufacturing, Others Competitive Landscape Key Players & Market Positioning Analysis of major competitors, including market share, business strategies, and innovations. SWOT analysis of key industry participants. Market entry barriers and opportunities for new entrants. Request a PDF Brochure of the Report:https://www.prophecymarketinsights.com/market_insight/Insight/request-pdf/1480 U.S Virtual and Augmented Reality Market Dynamics Drivers Factors fueling market demand and expansion. Technological advancements influencing growth. Challenges & Restraints Potential risks, barriers, and regulatory constraints. Economic fluctuations and supply chain disruptions. Opportunities Untapped market potential and emerging consumer needs. Strategic investment areas and growth prospects. Regional Analysis U.S Virtual and Augmented Reality Market Performance by Region Regional demand variations and economic impact. Key players and competitive environment in each region. Infrastructure, policies, and trade regulations affecting market growth. Consumer Insights & Behavioral Trends Shifting customer preferences and purchasing patterns. Influence of digital transformation on market demand. Impact of sustainability and ethical sourcing on buying decisions. Future Outlook & Forecast Potential disruptions and innovations shaping the industry. Strategic recommendations for stakeholders. Conclusion & Strategic Recommendations Summary of key findings and takeaways. Actionable insights for investors, businesses, and policymakers. Recommendations for capitalizing on emerging trends. About Us:            Prophecy Market Insights is a leading provider of market research services, offering insightful and actionable reports to clients across various industries. With a team of experienced analysts and researchers, Prophecy Market Insights provides accurate and reliable market intelligence, helping businesses make informed decisions and stay ahead of the competition. The company's research reports cover a wide range of topics, including industry trends, market size, growth opportunities, competitive landscape, and more. Prophecy Market Insights is committed to delivering

high-quality research services that help clients achieve their strategic goals and objectives.

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Asia Pacific Location Based Services Market

Meticulous Research®—a leading global market research company, published a research report titled, Asia-Pacific Location-based Services Market by Component, Technology (GNSS, GPS), Application (Navigation, Mapping & GIS), Location Type, End-use Industry (Transportation & Logistics, Retail & E-commerce), and Geography -Forecast to 2031.’

According to this latest publication from Meticulous Research®, the Asia-Pacific location-based services market is projected to reach $118.2 billion by 2031, at a CAGR of 17.3% from 2024–2031.The growth of the Asia-Pacific location-based services is driven by the proliferation of location-based services in the retail sector and the surging use of location-based services in the agriculture sector. However, dynamic government rules and regulations for location-based services restrain the growth of this market. Furthermore, constant upgrades in mapping and navigation solutions are expected to generate growth opportunities for the players operating in this market. However, the high costs of procuring and implementing location-based services are a major challenge impacting market growth. Additionally, the use of 5G technology for improved real-time analysis and the development of GIS software using augmented reality (AR)/virtual reality (VR) technologies are prominent trends in this market.

The Asia-Pacific location-based services market is segmented by component (platforms/solutions [location-powered mobile apps, location intelligence platforms, and location-based messaging] and professional services [mapping services, implementation & support, and consulting & development services]), technology (global navigation satellite system, global positioning system [assisted GPS and enhanced GPS], Wi-Fi, near-field communication, and other technologies), applications (navigation [smart parking, route planning, and other navigation applications], geo-marketing & advertising/target marketing, mapping & GIS, tracking [valuables & stolen goods tracking, pet tracking, parolees tracking, and child tracking], social networking [chat & instant messaging services, dating apps, and friend locator apps], infotainment, commercial applications, and other applications), location type (outdoor and indoor), end-use industry (government & public sector, transportation & logistics, smart cities, retail & E-commerce, consumer goods, media & entertainment, travel & tourism, BFSI, IT & telecom, healthcare, hospitality, aerospace & defense, energy & utilities, automotive, agriculture, education, and manufacturing), and country/region. The study also evaluates industry competitors and analyses the market at the country and regional levels.

Based on component, the Asia-Pacific location-based services market is segmented into platforms/solutions and professional services. In 2024, the platforms/solutions segment is expected to account for the larger share of the Asia-Pacific location-based services market. The large market share of this segment is attributed to the increasing focus by market players to launch location-based solutions, the increasing popularity of location-powered mobile apps, the growing need for location intelligence platforms to analyze and visualize geographic and location-based data, and the increasing adoption of location-based messaging platforms among consumers.

Also, this segment is projected to register the highest CAGR during the forecast period.

Based on technology, the Asia-Pacific location-based services market is segmented into global navigation satellite systems, global positioning systems, Wi-Fi, near-field communication, and other technologies. In 2024, the global navigation satellite system segment is expected to account for the largest share of the Asia-Pacific location-based services market. The large market share of this segment is attributed to the diverse range of applications of GNSS, including precise positioning and real-time location tracking. Additionally, the growing demand for location-based advertising and the increasing need for GNSS in asset management contributes to the significant market share of this segment.

Additionally, this segment is projected to register the highest CAGR during the forecast period.

Based on application, the Asia-Pacific location-based services market is segmented into navigation, geo-marketing & advertising/target marketing, mapping & GIS, tracking, social networking, infotainment, infotainment, and other applications. In 2024, the navigation segment is expected to account for the largest share of the Asia-Pacific location-based services market. The segment’s large market share is attributed to the rapid implementation of comprehensive navigation solutions by automakers and the increasing initiatives by leading LBS players to develop automotive navigation services.

However, this segment is expected to register the highest CAGR during the forecast period.

Based on location type, the Asia-Pacific location-based services market is segmented into outdoor and indoor. In 2024, the outdoor segment is expected to account for the largest share of the Asia-Pacific location-based services market. The segment’s large market share is attributed to the rising demand for outdoor location-based services for various applications, including improved navigation and mapping applications, asset tracking applications, outdoor proximity marketing applications, and the increasing deployments of outdoor applications, particularly for automotive and pet tracking applications.

However, the indoor segment is expected to register the highest CAGR during the forecast period due to the growing need to track people and objects within a set space and the increasing implementation of indoor locations to navigate environments like shopping malls, airports, or large buildings more efficiently.

Based on end-use industry, the Asia-Pacific location-based services market is segmented into government & public sector, transportation & logistics, smart cities, retail & E-commerce, consumer goods, media & entertainment, travel & tourism, BFSI, IT & telecom, healthcare, hospitality, aerospace & defense, energy & utilities, automotive, agriculture, education, and manufacturing. In 2024, the transportation & logistics segment is expected to account for the largest share of the Asia-Pacific location-based services market. The segment’s large market share is attributed to the increasing need for real-time tracking of vehicles using GPS, the growing use of location intelligence tools to analyze traffic patterns and congestion in real time, and the increasing usage of location intelligence tools for route optimization.

However, the retail & E-commerce segment is expected to register the highest CAGR during the forecast period due to the rising need for location-based data for targeted marketing campaigns, the increasing popularity of location-based surveys and feedback collection tools, the growing usage of retail asset management tools, and the increasing need for supply chain management in the retail sector.

Based on country/region, the Asia-Pacific location-based services market is segmented into Japan, China, India, South Korea, Singapore, Taiwan, Australia & New Zealand, Malaysia, Thailand, Philippines, Indonesia, Vietnam, and the Rest of Asia-Pacific. In 2024, China is expected to account for the largest share of the Asia-Pacific location-based services market. The large share of this market is mainly attributed to factors such as the growing demand for automated smart driving solutions, rising launches of autonomous cars, trucks, and construction vehicles, a boom in GNSS hardware, and effective usage of drones in hospital operations support the growth of the LBS market in China.

However, India is expected to register the highest CAGR during the forecast period due to the increasing demand for drone-based operations by state governments, increasing initiatives by local players, and increasing collaborations between market players for new product launches.

Key Players The key players operating in the Asia-Pacific location-based services market are HERE Global B.V. (Netherlands), Google LLC (U.S.) (A Subsidiary of Alphabet Inc.), TomTom N.V. (Netherlands), Esri (U.S.), Hexagon AB (Sweden), Trimble Inc. (U.S.), Cisco Systems, Inc. (U.S.), QUALCOMM Incorporated (U.S.), Microsoft Corporation (U.S.), AT&T Inc. (U.S.), Zebra Technologies Corporation (U.S.), ALE International (France), Precisely (U.S.), Rohde & Schwarz GmbH & Co. KG (Germany), and Nextbillion.AI Pte. Ltd. (Singapore).

Download Sample Report Here @ https://www.meticulousresearch.com/download-sample-report/cp_id=5784

Key Questions Answered in the Report:

Which are the high-growth market segments in terms of component, technology, application, location type, and end-use industry?

What is the historical market size for the Asia-Pacific location-based services market?

What are the market forecasts and estimates for 2024–2031?

What are the major drivers, restraints, opportunities, challenges, and trends in the Asia-Pacific location-based services market?

Who are the major players in the Asia-Pacific location-based services market, and what are their market shares?

What is the competitive landscape like?

What are the recent developments in the Asia-Pacific location-based services market?

Contact Us: Meticulous Research® Email- sales@meticulousresearch.com Contact Sales- +1-646-781-8004 Connect with us on LinkedIn- https://www.linkedin.com/company/meticulous-research