#Telecom API Market Analysis

[industrynewsupdates]

Telecom API Market Size, Share And Trends Analysis Report

The global telecom API market was valued at USD 827.45 billion in 2030 and is estimated to expand at a CAGR of 21.3% from 2023 to 2030, according to a study conducted by Grand View Research, Inc. Growing demand for smartphones integrated with features such as GPS services, digital wallets, 5G, and Near-Field Communication (NFC), among others, is estimated to drive the market growth in the forecast period. Application programming interface (API) facilitates web-based solution developers to develop applications through a single point of contact using the capabilities offered by the application programming interface (API) platform for agile application development.

The increasing adoption of the Internet of Things (IoT) in the telecommunication sector is anticipated to sustain market growth over the forecast period. CSPs such as Orange, Verizon, AT&T, Inc., Google LLP, and others are providing their IoT API platforms to various sectors such as transportation, retail, utilities, and manufacturing among others. AT&T has an API marketplace to help solution providers quickly build web-based collaboration apps for their text, video, voice, and other communications services. The IoT platform developed by Orange namely Live Objects forms connections centrally through a web portal and standard API.

Web Real-Time Communication (WebRTC) API is a compilation of various standard APIs and protocols that handle simultaneously facilitate data sharing and peer-to-peer teleconferencing eliminating the necessity for installing any additional third-party plug-ins. The Telecom API market is expected to witness significant growth owing to the rising adoption of WebRTC by various Communication Service Providers (CSPs) and technology providers such as AT&T Intellectual Property, Huawei Technologies Co., Ltd., Vodafone Group, Orange, Cisco Systems, Inc., and Google among others. However, stringent government regulations for end-user data protection are expected to act as an inhibitor to market growth over the forecast period.

Gather more insights about the market drivers, restrains and growth of the Telecom API Market

Telecom API Market Report Highlights

• The messaging API segment of the telecom API market is predicted to account for the largest market share in 2022 and is expected to expand at a CAGR of 21.4% in the forecast period. This growth is attributed to the increasing adoption of A2P messaging by large organizations for applications such as product announcements, and promotional activities among others.

• The partner developer segment is estimated to expand at the fastest CAGR of over 22.0% in the forecast period. Thus, growth can be attributed to the rising number of internet users and increasing adoption of over-the-top (OTT) media services by organizations.

• Asia Pacific held a maximum revenue share of over 28% in 2022 and is projected to witness a healthy CAGR in the forecast period. This growth is owing to the increasing number of smartphone users in countries such as India and China.

• The telecom API market is fragmented and characterized by high competition with the presence of major global players such as among others. These companies are adopting various organic and inorganic growth strategies such as collaborations, mergers & acquisitions to increase their market presence and expand their existing product portfolio.

Telecom API Market Segmentation

Grand View Research has segmented the global telecom API market based on type, end-user, and region:

Telecom API Type Outlook (Revenue, USD Billion, 2018 - 2030)

• Messaging API

• Web RTC API

• Payment API

• IVR API

• Location API

• Others

Telecom API End-user Outlook (Revenue, USD Billion, 2018 - 2030)

• Enterprise Developers

• Internal Telecom Developers

• Partner Developers

• Long Tail Developers

Telecom API Regional Outlook (Revenue, USD Billion, 2018 - 2030)

• North America

o U.S.

o Canada

• Europe

o U.K.

o Germany

o France

o Rest of Europe

• Asia Pacific

o China

o India

o Japan

o Rest of Asia Pacific

• Latin America

o Brazil

o Mexico

o Rest of Latin America

• Middle East & Africa

Order a free sample PDF of the Telecom API Market Intelligence Study, published by Grand View Research.

[mordorintelligencemarketresearch]

Event Stream Processing: Powering the Next Evolution in Market Research.

What is Event Stream Processing?

At its core, Event Stream Processing is the technology that allows you to process and analyze data in motion. Unlike traditional batch processing, ESP enables organizations to ingest, filter, enrich, and analyze live data streams—in milliseconds. Technologies like Apache Kafka, Apache Flink, Spark Streaming, and proprietary platforms like Confluent and Azure Stream Analytics are powering this real-time revolution.

🌍 Overview of the Event Stream Processing Market

According to recent industry reports:

The global ESP market is projected to grow from $800M in 2022 to nearly $5.7B by 2032, with a CAGR exceeding 20%.

The drivers include growth in IoT devices, real-time analytics demand, AI/ML integration, and cloud-native infrastructure.

ESP is already being adopted in industries like finance, retail, telecom, and increasingly, in data-driven research sectors.

So how does this affect market research?

🧠 How ESP is Reshaping Market Research

The market research industry is undergoing a paradigm shift—from long cycles of surveys and focus groups to continuous consumer intelligence. ESP offers the foundation to make this real-time, automated, and infinitely scalable.

1. Always-On Consumer Listening

Traditional market research works in waves. ESP enables constant monitoring of consumer conversations, behaviors, and sentiments across social media, websites, mobile apps, and even connected devices.

2. Real-Time Behavioral Segmentation

Instead of waiting for post-campaign analysis, ESP enables dynamic audience segmentation based on live behavior. Imagine updating customer personas on the fly as users interact with a product or ad in real time.

3. Instant Trend Detection

With ESP, market researchers can spot emerging trends, spikes in brand mentions, or negative sentiment as it happens, giving companies the edge to react and innovate faster.

4. Improved Campaign Feedback Loops

By streaming campaign data into ESP systems, researchers can assess performance metrics like engagement, bounce rates, or purchase behavior in real time—enabling agile marketing and live optimization.

5. Enriching Traditional Research

Even classic survey research can be elevated. ESP can feed in contextual data (e.g., weather, location, digital footprint) to enhance response interpretation and modeling accuracy.

🚀 Emerging Use Cases

Use CaseESP in ActionSocial Listening at ScaleReal-time monitoring of tweets, posts, or mentions for brand perceptionVoice of the Customer (VoC)Processing live feedback from chat, call centers, or in-app surveysRetail Behavior AnalyticsStreaming in-store or ecommerce interaction data for buyer journey insightsAd Performance TrackingMeasuring campaign impact in real time and adjusting targeting dynamicallyGeo-Contextual SurveysTriggering location-based surveys in response to real-world events

🔍 Market Research Firms Tapping into ESP

Forward-thinking agencies and platforms are now building ESP pipelines into their solutions:

Nielsen is exploring real-time TV and digital media tracking.

Qualtrics and SurveyMonkey are integrating APIs and live data feeds to automate feedback systems.

Custom research agencies are partnering with ESP tech vendors to develop always-on insight platforms.

📈 Strategic Value for Researchers & Brands

Integrating ESP with market research doesn’t just speed things up—it changes the value proposition:Traditional ResearchESP-Enabled ResearchBatch, retrospectiveContinuous, real-timeManual analysisAutomated insightsSample-basedFull-data streamStatic reportsLive dashboardsReactive strategyProactive action

⚠️ Challenges to Consider

Data Overload: Without the right filters and models, ESP can create noise rather than insight.

Technical Skills Gap: Researchers may need to upskill or collaborate with data engineers.

Compliance Risks: Real-time processing must adhere to privacy laws like GDPR and CCPA.

Cost & Infrastructure: ESP requires robust architecture—cloud-native and scalable.

🔮 The Future: Market Research as a Streaming Platform

As ESP becomes more affordable and accessible via cloud platforms, we’ll see the rise of Insight-as-a-Stream—where brands and researchers subscribe to live feeds of behavioral, attitudinal, and transactional data, powered by AI and ESP pipelines.

In this new era, agility becomes a competitive advantage, and ESP is the engine behind it.

Final Thoughts

Event Stream Processing is no longer just for tech giants or financial firms—it’s the future backbone of modern market research. From real-time sentiment analysis to dynamic targeting and predictive behavioral modeling, ESP is enabling insights that are faster, smarter, and more actionable than ever before.

Market researchers who adopt ESP today won't just keep up—they'll lead. The Event Stream Processing market is poised for substantial growth, driven by technological advancements and the increasing need for real-time data analytics across various industries. For a detailed overview and more insights, you can refer to the full market research report by Mordor Intelligence: https://www.mordorintelligence.com/industry-reports/event-stream-processing-market

[differenttimemachinecrusade]

Service Virtualization Market Size, Share, Scope, Analysis, Forecast, Growth and Industry Report 2032 – SWOT and PESTLE Analysis

TheService Virtualization Market Share was valued at USD 745.8 Million in 2023 and is expected to reach USD 2853.1 Million by 2032, growing at a CAGR of 16.1% over the forecast period 2024-2032.

The Service Virtualization Market is witnessing rapid adoption across various sectors. It is enabling faster software development and better testing environments. Organizations are increasingly using it to simulate service behavior in complex systems.

The Service Virtualization Market continues to grow as businesses demand more agile and cost-effective development processes. With the rising pressure to deliver high-quality applications at speed, service virtualization is becoming essential to support continuous integration, DevOps, and automated testing workflows.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/4624 

Market Keyplayers:

CA Technologies (Broadcom) – (CA Service Virtualization, CA DevTest)

IBM Corporation – (Rational Test Virtualization Server, IBM Rational Integration Tester)

Micro Focus – (Service Virtualization, LoadRunner Professional)

Parasoft – (Parasoft Virtualize, Parasoft SOAtest)

SmartBear Software – (ReadyAPI Virtualization, TestComplete)

Cavisson Systems – (Cavisson Service Virtualization, NetStorm)

Tricentis – (Tosca, Tricentis Virtualize)

Broadcom Inc. – (Broadcom DevTest, Broadcom Service Virtualization)

Maveric Systems – (Maveric Service Virtualization, Maveric Continuous Testing)

Wipro Limited – (Wipro HOLMES™, Wipro Virtualization Solutions)

Cognizant Technology Solutions – (Cognizant Testing Services, Cognizant Virtualization)

Sogeti (Capgemini) – (Sogeti Testing Services, Virtualization Platform)

Infosys Limited – (Infosys Virtualization Service, Infosys Test Automation)

Accenture – (Accenture Cloud Virtualization, Accenture Service Testing)

Tata Consultancy Services (TCS) – (TCS Service Virtualization, TCS Testing Services)

Delphix – (Delphix Data Platform, Delphix Virtualization)

Quali Systems – (CloudShell, Quali Service Virtualization)

QASymphony – (qTest, Service Virtualization)

Vector Software – (VectorCAST Virtualization, VectorCAST Test)

Trends in the Service Virtualization Market

Increased Adoption in DevOps: Companies are integrating service virtualization into DevOps pipelines to accelerate development and testing cycles.

Cloud-Based Solutions: There is a rising demand for cloud-native virtualization tools, offering flexibility and scalability across distributed teams.

AI and Automation Integration: Vendors are embedding AI-driven analytics and automation features to enhance test coverage and efficiency.

Focus on API Testing: With APIs becoming central to modern applications, service virtualization tools are now tailored to mimic complex API interactions.

Enquiry of This Report: https://www.snsinsider.com/enquiry/4624 

Market Segmentation:

By Component

Software

Service

By Enterprise Size

Large Enterprise

SMEs

By Deployment

Cloud

On-premise

By End Use

BFSI

Healthcare

IT & Telecommunication

Automotive

Retail & E-Commerce

Market Analysis

Growing Demand Across Industries: BFSI, healthcare, retail, and telecom sectors are adopting service virtualization to reduce time-to-market and improve software quality.

Cost and Resource Efficiency: It minimizes the need for setting up complex test environments, saving costs and development time.

Support for Agile & Continuous Testing: Service virtualization plays a crucial role in enabling agile methodologies by providing early and continuous testing capabilities.

Rising Competition Among Vendors: Key players like Broadcom, IBM, Micro Focus, and SmartBear are enhancing their offerings with next-gen capabilities such as cloud compatibility and AI integration.

Future Prospects

The future of the Service Virtualization Market looks promising as digital transformation initiatives continue to gain momentum. As companies adopt microservices and cloud-native architectures, the need for simulating complex, distributed systems will increase. Service virtualization will become even more vital in testing environments where real services are either unavailable or costly to access.

Advancements in AI, machine learning, and automation will further enhance service virtualization tools, enabling intelligent test data generation, dynamic behavior simulation, and real-time analytics. Additionally, integration with CI/CD pipelines and containerized environments like Kubernetes will expand the scope and flexibility of service virtualization across development ecosystems.

With organizations aiming for faster releases and higher-quality software, service virtualization will continue to evolve as a foundational technology in modern application development and delivery.

Access Complete Report: https://www.snsinsider.com/reports/service-virtualization-market-4624 

Conclusion

The Service Virtualization Market is set for steady growth, backed by digital transformation, DevOps adoption, and the demand for rapid, reliable software delivery. As development environments become more complex and interconnected, service virtualization offers the scalability, flexibility, and cost-efficiency that modern enterprises require.

Going forward, businesses that leverage advanced service virtualization tools will not only reduce development costs but also gain a competitive edge by accelerating innovation and improving software quality. The market is expected to thrive, playing a key role in shaping the future of agile and efficient software development.

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)

[himanitech]

"How to Build a Thriving Career in AI Chatbots: Skills, Jobs & Salaries"

Career Scope in AI Chatbots 🚀

AI chatbots are transforming industries by improving customer service, automating tasks, and enhancing user experiences. With businesses increasingly adopting AI-powered chatbots, the demand for chatbot professionals is growing rapidly.

1. High Demand Across Industries

AI chatbots are used in multiple industries, creating diverse job opportunities: ✅ E-commerce & Retail: Customer support, order tracking, personalized recommendations. ✅ Healthcare: Virtual assistants, symptom checkers, appointment scheduling. ✅ Banking & Finance: Fraud detection, account inquiries, financial advisory bots. ✅ Education: AI tutors, interactive learning assistants. ✅ IT & SaaS: Automated troubleshooting, helpdesk bots. ✅ Telecom & Hospitality: Handling customer queries, booking services.

🔹 Future Growth: The chatbot market is expected to reach $15 billion+ by 2028, with AI-powered assistants becoming an essential part of digital transformation.

2. Career Opportunities & Job Roles

There are various job roles in AI chatbot development:

🔹 Technical Roles

1️⃣ Chatbot Developer – Builds and integrates chatbots using frameworks like Dialogflow, Rasa, IBM Watson, etc. 2️⃣ NLP Engineer – Develops AI models for intent recognition, sentiment analysis, and language processing. 3️⃣ Machine Learning Engineer – Works on deep learning models to improve chatbot intelligence. 4️⃣ AI/Conversational AI Engineer – Focuses on developing AI-driven conversational agents. 5️⃣ Software Engineer (AI/ML) – Builds and maintains chatbot APIs and backend services.

🔹 Non-Technical Roles

6️⃣ Conversational UX Designer – Designs chatbot dialogues and user-friendly conversations. 7️⃣ AI Product Manager – Manages chatbot development projects and aligns AI solutions with business goals. 8️⃣ AI Consultant – Advises companies on integrating AI chatbots into their systems.

3. Salary & Career Growth

Salaries depend on experience, location, and company. Here’s a rough estimate:

Chatbot Developer salaries in India

The estimated total pay for a Chatbot Developer is ₹8,30,000 per year, with an average salary of ₹6,30,000 per year. This number represents the median, which is the midpoint of the ranges from our proprietary Total Pay Estimate model and based on salaries collected from our users.

🔹 Freelancing & Consulting: Many chatbot developers also earn through freelance projects on platforms like Upwork, Fiverr, and Toptal.

4. Skills Needed for a Career in AI Chatbots

✅ Technical Skills

Programming: Python, JavaScript, Node.js

NLP Libraries: spaCy, NLTK, TensorFlow, PyTorch

Chatbot Platforms: Google Dialogflow, Rasa, IBM Watson, Microsoft Bot Framework

APIs & Integrations: RESTful APIs, database management

Cloud Services: AWS, Google Cloud, Azure

✅ Soft Skills

Problem-solving & analytical thinking

Communication & UX design

Continuous learning & adaptability

5. Future Trends & Opportunities

The future of AI chatbots looks promising with emerging trends: 🚀 AI-powered Chatbots & GPT Models – Advanced conversational AI like Chat GPT will enhance user interactions. 🤖 Multimodal Chatbots – Bots will handle voice, text, and image inputs. 📈 Hyper-Personalization – AI chatbots will become more human-like, understanding emotions and preferences. 🔗 Integration with IoT & Metaverse – Smart chatbots will assist in virtual environments and connected devices.

6. How to Start Your Career in AI Chatbots?

🔹 Learn AI & NLP basics through courses on Coursera, Udemy, edX. 🔹 Work on projects and contribute to open-source chatbot frameworks. 🔹 Gain practical experience via internships, freelancing, or hackathons. 🔹 Build a strong portfolio and apply for chatbot-related jobs.

Conclusion

A career in AI chatbots is highly rewarding, with increasing demand, competitive salaries, and opportunities for growth. Whether you’re a developer, AI engineer, or UX designer, chatbots offer a wide range of career paths.

For Free Online Tutorials Visit-https://www.tpointtech.com/

For Compiler Visit-https://www.tpointtech.com/compiler/python

[rohitpalan]

Codeless Testing Market Set to Surge, Projected to Reach USD 8.6 Billion by 2033

The codeless testing market is expected to reach a worth of US$ 2 billion by 2023, demonstrating a tremendous trajectory of growth. According to a recent analysis by top industry analysts, the market is expected to grow significantly and reach a projected value of US$ 8.6 billion by 2033.

The integration of machine learning (ML), machine learning as a service (MLaaS), and artificial intelligence (AI) in the testing arena are anticipated to be major drivers of this extraordinary expansion. From 2023 to 2033, the Codeless Testing Market is expected to grow at an impressive 15.6% Compound Annual Growth Rate (CAGR).

Key Takeaways:

The Codeless Testing Market is set to witness substantial growth, reaching a projected value of US$ 8.6 billion by 2033, driven by the integration of AI and ML.

AI and ML technologies are revolutionizing software testing, optimizing the testing lifecycle and boosting ROI for software testing companies.

North America and Asia-Pacific are prominent regions for market growth, with the potential for emerging regions to follow suit.

Security concerns and the need for skilled professionals remain key challenges for the market’s progress.

Drivers and Opportunities: The introduction of AI and ML has brought about a paradigm shift in the field of codeless testing. These cutting-edge technologies are being harnessed across various testing aspects, encompassing codeless automation testing, performance assessment, regression testing, and functional testing. The adoption of AI in software testing has gained immense traction in recent years, primarily due to its ability to streamline the testing lifecycle and enhance the return on investment (ROI) for software testing companies.

Competitive Landscape – Regional Trends: The competitive landscape of the Codeless Testing Market is marked by robust regional trends. As businesses worldwide increasingly recognize the advantages of codeless testing, several regions are emerging as hotspots for market growth. North America, with its strong presence of technology giants and early adoption of AI-driven testing solutions, is expected to maintain its dominant position. Meanwhile, Asia-Pacific is rapidly catching up, driven by a burgeoning IT sector and a surge in demand for efficient testing solutions.

Restraints: Despite its promising growth, the Codeless Testing Market faces some challenges. Security concerns and the need for skilled professionals to effectively implement AI and ML-based testing solutions pose potential hurdles. Additionally, the market may encounter resistance from traditional testing approaches in some industries.

Region-wise Insights – Category-wise Insights: Detailed region-wise and category-wise insights are available in the comprehensive report, providing a deeper understanding of the market dynamics. The report offers in-depth analysis, including the market’s performance in North America, Europe, Asia-Pacific, and other regions, along with insights into different testing categories, such as performance testing, regression testing, and functional testing.

Key Segments profiled in the Codeless Testing Market Report

By Solution:

Codeless Testing Tools

Services

Testing & OA Services

Consulting Services

Integration & Implementation

Support & Maintenance

By Application:

API Testing

Mobile App

Desktop App

Web App

By Enterprise Size:

Small and Medium Enterprises (SMEs)

Large Enterprises

By Industry:

IT & Telecom

BFSI

Retail

Healthcare

Government

Education

Manufacturing

Travel & Hospitality

Media & Entertainment

Others

By Region:

North America

Latin America

Europe

East Asia

South Asia

Oceania

Middle East & Africa

About Future Market Insights (FMI)

Future Market Insights, Inc. (ESOMAR certified, recipient of the Stevie Award, and a member of the Greater New York Chamber of Commerce) offers profound insights into the driving factors that are boosting demand in the market. FMI stands as the leading global provider of market intelligence, advisory services, consulting, and events for the Packaging, Food and Beverage, Consumer Technology, Healthcare, Industrial, and Chemicals markets. With a vast team of over 400 analysts worldwide, FMI provides global, regional, and local expertise on diverse domains and industry trends across more than 110 countries. Join us as we commemorate 10 years of delivering trusted market insights. Reflecting on a decade of achievements, we continue to lead with integrity, innovation, and expertise.

Contact Us:      

Future Market Insights Inc. Christiana Corporate, 200 Continental Drive, Suite 401, Newark, Delaware – 19713, USA T: +1-845-579-5705 For Sales Enquiries: sales@futuremarketinsights.com Website: https://www.futuremarketinsights.com LinkedIn| Twitter| Blogs | YouTube

[credenceresearchdotblog]

The In-Building Wireless Market is projected to grow from USD 14772.25 million in 2024 to an estimated USD 24448 million by 2032, with a compound annual growth rate (CAGR) of 6.5% from 2024 to 2032.The global Master Recharge API (Application Programming Interface) market is rapidly evolving, driven by the growing demand for seamless and efficient digital payment solutions. With the increasing penetration of smartphones and the surge in digital financial services, this market is witnessing a significant boost. Businesses across various sectors, from telecom to e-commerce, are leveraging these APIs to provide recharge and utility payment services to their customers. A Master Recharge API serves as an intermediary that connects service providers with end users. It allows businesses to integrate recharge services for mobile, DTH (Direct-to-Home), data cards, utility bill payments, and more into their platforms. Through a single API integration, companies can access multiple service providers, ensuring a seamless user experience.

Browse the full report https://www.credenceresearch.com/report/in-building-wireless-market

Market Drivers

Growing Smartphone Penetration: With billions of smartphone users worldwide, there is a surging demand for digital payment and recharge services. Mobile recharges, bill payments, and subscription renewals are now a part of everyday life, creating a robust demand for Master Recharge APIs.

Digital Transformation: Governments and organizations are promoting cashless transactions and digital ecosystems, further fueling the need for APIs that streamline payment processes.

E-commerce Growth: E-commerce platforms often integrate recharge and bill payment services to enhance customer retention and engagement. Master Recharge APIs enable them to offer these services efficiently.

Rising Demand for White-Label Solutions: Businesses, especially startups, prefer white-label recharge platforms powered by Master Recharge APIs to reduce development costs and accelerate time-to-market.

Challenges in the Master Recharge API Market

Despite its growth, the Master Recharge API market faces some challenges:

Security Concerns: As digital transactions increase, so does the risk of cyberattacks and fraud. Ensuring robust security measures is a priority.

Market Saturation: The entry of numerous players has led to fierce competition, making differentiation a challenge for API providers.

Regulatory Compliance: Adhering to varying regulations across regions can be complex, especially in cross-border operations.

Technological Integration: Businesses need to ensure that APIs are compatible with their existing systems, which can sometimes pose difficulties.

Emerging Trends

The Master Recharge API market is adapting to changing consumer behavior and technological advancements. Notable trends include:

Blockchain Integration: Blockchain technology is being explored to enhance transparency, security, and efficiency in transactions.

AI-Powered Insights: Artificial Intelligence (AI) is being used to provide data-driven insights, helping businesses improve customer experience.

Expansion into Rural Areas: With increasing internet penetration, API providers are targeting underserved regions to broaden their customer base.

Personalized Offerings: Companies are focusing on tailored solutions to meet the unique needs of businesses and consumers.

Future Outlook

The Master Recharge API market is expected to grow exponentially in the coming years. With advancements in technology and the increasing reliance on digital payment systems, this sector presents immense opportunities for innovation and expansion. Industry players must focus on improving API security, scalability, and user experience to stay competitive.

Key Player Analysis:

Airspan Networks

Cobham Limited

CommScope, Inc.

Corning Incorporated

Huawei Technologies Co., Ltd.

JMA Wireless

Nokia

Samsung Electronics Co., Ltd.

TE Connectivity

Telefonaktiebolaget LM Ericsson

Segmentation:

By Solutions:

System Components

Hardware

Software

Services

 By System Components:

Antennas

Cabling

Distributed Antenna System

Repeaters

Small Cells

By Business Type:

Existing

New

By Building Size:

Large and Medium Buildings

Small Buildings

By Business Models:

Carrier

Enterprise

Host

By Application:

Commercials

Residential

Government

Hospitals

Industrial Uses

Defense

Retail

By Region

North America

U.S.

Canada

Mexico

Europe

Germany

France

U.K.

Italy

Spain

Rest of Europe

Asia Pacific

China

Japan

India

South Korea

South-east Asia

Rest of Asia Pacific

Latin America

Brazil

Argentina

Rest of Latin America

Middle East & Africa

GCC Countries

South Africa

Rest of the Middle East and Africa

Browse the full report https://www.credenceresearch.com/report/in-building-wireless-market

Contact:

Credence Research

Please contact us at +91 6232 49 3207

Email: sales@credenceresearch.comWebsite: www.credenceresearch.com

[trendingreportz]

API Security Market - Forecast (2024-2030)

API Security Market Overview:

API Security Market size is estimated to reach $6.3 billion by 2030, growing at a CAGR of 25.4% during the forecast period 2023-2030. Increasing adoption of APIs to leverage cloud-based services and build digital ecosystems is driving the demand for API security solutions among organizations. This trend is expected to boost the growth of the API Security Market during the forecast period.

Additionally, the rising number of cybersecurity threats is compelling organizations to adopt API security solutions. APIs are a common target for attackers willing to disrupt services or steal data. As per recent studies, it was estimated that US-based companies have lost somewhere between $12 billion and $23 billion in 2022 alone from API data breaches. Organizations are investing in API security solutions to mitigate these risks and ensure the security of their sensitive data. These factors positively influence the API Security industry outlook during the forecast period.

Request Sample

API Security Market - Report Coverage:

The “API Security Market Report - Forecast (2023-2030)” by IndustryARC, covers an in-depth analysis of the following segments in the API Security Market.          Attribute          Segment

By Deployment Type

On-premise

Cloud-based

By Solution

API Security Software

API Security Solution

By Organization Size

Small Enterprises

Medium Enterprises

Large Enterprises

By End Use Verticals

BFSI

IT & Telecom

Government

Healthcare and Life Sciences

Retail and E-commerce

Media & Entertainment

Travel & Hospitality

Education

Power & Utilities

Industrial

Others

By Geography

North America (U.S., Canada and Mexico)

Europe (Germany, France, UK, Italy, Spain, Russia and Rest of Europe),

Asia-Pacific (China, Japan, South Korea, India, Australia & New Zealand and Rest of Asia-Pacific),

South America (Brazil, Argentina, Chile, Colombia and Rest of South America)

Rest of the World (Middle East and Africa).

COVID-19 / Ukraine Crisis - Impact Analysis:  

● The COVID-19 pandemic accelerated the adoption of digital technologies and cloud-based solutions, which has led to increased use of APIs by organizations. The raised concerns about security have boosted the demand for API security solutions. On the other hand, the pandemic has caused economic uncertainty, causing some organizations to cut back on IT spending, especially on investment in API security solutions. Also, the shift to remote work has made it difficult for the organizations to secure their APIs in this new environment.

● The conflict between Russia and Ukraine could lead to an increase in cyberattacks, including attacks on APIs. This would boost the demand for API security solutions as organizations look for ways to protect themselves from these threats. Also, the conflict is causing economic uncertainty in the region, which could impact the IT spending and investment in API security solutions. Additionally, the supply-chain disruptions caused by the conflict may impact the availability of IT resources, which could further impact the market.

Inquiry Before Buying

Key Takeaways:

● Fastest Growth of Asia-Pacific Region

Geographically, in the global API Security market share, Asia-Pacific is analyzed to grow with the highest CAGR of 25.9% during the forecast period 2023-2030. The increasing adoption of APIs and cloud-based solutions in the region along with the rising number of cyber threats and regulatory compliance requirements are boosting the growth of the region's API Security Market share. According to Imperva, a cybersecurity firm, APAC governments have taken a variety of approaches to open banking and the advent of open banking has brought about a transformative shift for both businesses and consumers. With the growing demand for these services, banks and fintech companies will increasingly depend on application programming interfaces (APIs).

● Cloud-based Segment to Register the Fastest Growth

In the API Security Market analysis, the cloud-based segment is estimated to grow with the fastest during the forecast period. There are several factors boosting the growth of this segment. Firstly, cloud-based API security solutions can easily scale up or down depending on the changing needs of the organization. It offers greater flexibility than on-premise solutions. Also, cloud-based solutions usually require lower upfront costs. 

● BFSI Sector is the Fastest Growing Segment in the Market

According to the API Security Market forecast, the BFSI sector is estimated to register the fastest growth during the forecast period. The financing institutions are increasingly adoption APIs to enable new digital services, such as peer-to-peer payments and mobile banking. These services require strong API security to prevent fraud, protect customer data and comply with regulatory requirements.

According to the Salt Labs State API Security Report Q1 2022, API attack traffic has increased 681 percent in the past 12 months (of publishing the report). Since financial institutions and fintech firms hold tremendous amount of valuable data, they are the perfect target for such attackers.

● Increasing Adoption of APIs

APIs are increasingly becoming a crucial component for modern digital businesses. They allow organizations to share data and services quickly and easily between different systems and applications. However, APIs create new security risks, making API security solutions critical to protect against cyber threats while ensuring regulatory compliance. This is one of the major factors driving the growth of the API Security Market during the forecast period.

Schedule a Call

● Growth of Digital Transformation Initiatives

The growth of digital transformation initiatives is analyzed to witness significant growth during the forecast period 2023-2030 as organizations strive to remain competitive in the digital age and keep up with evolving technologies. Data and analytics will increasingly contribute to innovation, helping businesses derive insights and achieve desired outcomes As per IndustryARC’s findings, the global digital transformation market is projected to surpass $1.3trillion by 2027. The shift to software-as-a-service (SaaS) platforms is expected to dominate the digital transformation landscape, enabling easier collaboration, improved productivity, and organizational flexibility. These trends underscore the ongoing need for organizations to adapt, innovate, and leverage digital technologies to drive growth, meet evolving customer expectations, and address market dynamics. APIs can facilitate the integration of various digital tools and services, enabling organizations to effectively implement their digital transformation strategies and leverage the benefits of automation, data analytics, and SaaS platforms. By leveraging APIs, organizations can seamlessly connect different systems, access relevant data, and streamline processes, ultimately accelerating their digital transformation efforts and achieving desired outcomes. The growing adoption of APIs is further set to drive the API security market during the forecast period.

● API Security implementation challenges and risks to impede to market growth

Implementing API security can pose several challenges and risks that organizations need to address. APIs expose endpoints that handle object identifiers, increasing the attack surface and creating potential vulnerabilities for Object Level Access Control issues which can lead to unauthorized access and data exposure. Implementing authentication mechanisms incorrectly can compromise authentication tokens and allow attackers to assume other users' identities. Weak authentication methods or flawed implementation can lead to unauthorized access and compromised API security. Lack of or improper authorization validation at the object property level can lead to excessive data exposure or manipulation by unauthorized parties. APIs require resources such as network bandwidth, CPU, memory, and storage to fulfill requests. Without proper rate limiting and resource management, malicious actors can launch Denial of Service (DoS) attacks, exhausting resources and disrupting API availability. These technical challenges are set to hinder the API security market growth in the future. 

Key Market Players: 

Product/Service launches, approvals, patents and events, acquisitions, partnerships and collaborations are key strategies adopted by players in the API Security Market.

The top 10 companies in this industry are listed below:

1. Akamai Technologies (Prolexic, Kona Site Defender)

2. Amazon Web Services, Inc. (AWS Shield, AWS WAF)

3. Apigee Corp. (Apigee Edge, Apigee Sense)

4. Auth0® Inc. (Auth0 API Management, Auth0 WebAuthn Passwordless)

5. Axway Software SA (Axway API Gateway, Axway SecureTransport)

6. Barracuda Networks, Inc. (Barracuda CloudGen Firewall, Barracuda WAF-as-a-Service)

7. Computer Associates International, Inc. (CA API Gateway, CA Single Sign-On)

8. Checkmarx Ltd. (Checkmarx CxSAST, Checkmarx CxIAST)

9. Cisco Systems, Inc. (Cisco Umbrella, Cisco API Security)

10. Cloudflare, Inc. (Cloudflare API Shield, Cloudflare Access)

Buy Now

Scope of Report: Report MetricDetails

Base Year Considered

2022

Forecast Period

2023–2030

CAGR

25.4%

Market Size in 2030

$6.3 billion

Segments Covered

Deployment Type, Solution, Organization Size, End User Vertical and Region

Geographies Covered

North America (U.S., Canada and Mexico), Europe (Germany, France, UK, Italy, Spain, Russia and Rest of Europe), Asia-Pacific (China, Japan, South Korea, India, Australia, New Zealand and Rest of Asia-Pacific), South America (Brazil, Argentina, Chile, Colombia and Rest of South America), Rest of the World (Middle East and Africa).

Key Market Players

Akamai Technologies

Amazon Web Services, Inc. (AWS)

Apigee Corp. (Google Cloud)

Barracuda Networks, Inc.

Cisco Systems, Inc.

Cloudflare, Inc.

ForgeRock, Inc.

IBM Corp.

Imperva, Inc.

Rapid7, Inc.

Key Market Players

Akamai Technologies

Amazon Web Services, Inc. (AWS)

Apigee Corp. (Google Cloud)

Barracuda Networks, Inc.

Cisco Systems, Inc.

Cloudflare, Inc.

ForgeRock, Inc.

IBM Corp.

Imperva, Inc.

Rapid7, Inc.

[nextaitool]

AI-Powered Excel Alternatives to Boost Your Productivity

Explore seven Excel AI tools that revolutionize data management and boost productivity for teams.

Tired of spending hours just trying to make sense of some complicated formula in Excel, or having to watch tons of tutorials just to automate simple tasks? Well, the good news is that artificial intelligence has stepped into the arena, changing how we handle spreadsheets by introducing powerful alternatives that make data manipulation faster, smarter, and much easier. This blog introduces seven AI tools revolutionizing spreadsheets and automating tasks that used to take hours in Excel.

1. CortexSheet

CortexSheet is an AI add-on in Google Sheets that automatically removes the headache from mundane spreadsheet work. Using simple formulas like =CORTEX and =CORTEX_CLASSIFY, you can automate tasks like data cleaning, categorization, and bulk operations with just a few clicks. Whether you're managing eCommerce data, screening resumes, or doing translations, CortexSheet makes it easy for non-technical users to harness the power of AI. It's a versatile tool with pre-built templates across industries from content marketing to research, and its flexible pricing makes it accessible to everyone, from individuals to large enterprises.

2.Rows

Another powerful alternative is Rows, a next-level spreadsheet platform built for team collaboration. It works seamlessly with popular tools like Google Analytics, Notion, and HubSpot, letting you easily import data and use AI to analyze and transform it. With features like text classification, dataset summarization, and sentiment analysis for customer feedback, Rows is ideal for teams working on marketing, social media, and product reviews. Plus, it makes sharing insights simple by turning your data into sleek, interactive reports—making collaboration effortless.

3.GPT Excel

GPT Excel is the perfect tool for those who love Excel but want to boost productivity with AI. It automates tasks like generating formulas, creating SQL queries, and writing VBA or Google Apps Scripts. Trusted by over 300,000 users and with 4 million formulas generated, GPT Excel simplifies workflows, from complex calculations to data summaries. It’s available in multiple languages and offers a free tier, making it a great option for both beginners and experienced users looking to save time and effort.If your goal is to turn data into stunning visual reports.

4.Zebra BI

Zebra BI is the tool you need. Renowned for its robust data visualization features, it integrates smoothly with Power BI, Excel, and PowerPoint to transform complex datasets into clear, actionable insights. Whether you're a financial analyst or a project manager, Zebra BI allows you to create dynamic charts, interactive reports, and dashboards that simplify data-driven decision-making. With handy features like dynamic comments and drill-through options, you can easily uncover the story behind the numbers—all without requiring any programming skills.

5.Orkes

Orkes is a transformative tool for developers focused on managing workflows efficiently. Created by the team behind Netflix Conductor, it streamlines workflow orchestration with its AI-driven platform. Designed for businesses looking to enhance their development processes, Orkes integrates microservices and API orchestration to create scalable workflows. With an intuitive user interface for building visual workflows, robust version control, and built-in security features, it enables developers to quickly upgrade existing applications. This makes it ideal for fast-paced industries like healthcare, telecom, and finance, where innovation and scalability are essential.

6.Wallo

WalloAI is an AI-powered tool that simplifies working with spreadsheets. Instead of manually searching through data, you can ask questions directly to your spreadsheet in plain language. It also generates and explains formulas effortlessly. WalloAI supports VBA scripts, making it easy to automate tasks and create custom macros. With flexible pricing, including a free tier, it’s perfect for beginners and advanced users alike, helping everyone work faster and smarter with their data.

7.Ampler

Lastly, there’s Ampler, a platform that enhances how organizations utilize Microsoft Office. By automating repetitive tasks in PowerPoint, Excel, and Word, Ampler frees users to focus on creativity and productivity. Whether you're aiming to keep a consistent visual style in presentations or streamline workbook formatting, Ampler provides customized solutions to boost your efficiency.

It integrates smoothly with your existing IT setup and complies with organizational standards, making it an invaluable resource for large teams and enterprises. In summary, if you’re looking to enhance your spreadsheet experience beyond what Excel offers, these AI tools have you covered. From CortexSheet’s automated categorization to Ampler’s seamless Office integration, these tools not only simplify your work but also boost productivity, allowing you to focus on what truly matters. Try them out and see how AI can transform your day-to-day tasks.

For more blogs like this: thenextaitool.com/blog

[industrynewsupdates]

Key Players in Telecom API Market: A Competitive Landscape Overview

The global telecom API market was valued at USD 185.11 billion in 2022 and is projected to grow at a robust compound annual growth rate (CAGR) of 21.3% from 2023 to 2030. Telecom APIs (Application Programming Interfaces) are integral to managing various web-based services such as cloud computing, banking, and identity management within the telecom industry. These APIs facilitate the organization of programming instructions and adhere to standard protocols, enabling the seamless operation of telecom software solutions. The growing adoption of telecom APIs is helping to optimize system performance and provide cost-effective solutions by improving the functionality of existing web-based applications.

Telecom APIs are crucial because they offer agility in the development of mobile applications. By acting as a bridge between different software systems, these APIs allow developers to focus on building the core functionalities of their applications, rather than reinventing the wheel to create communication protocols from scratch. This significantly reduces the time, effort, and cost required for mobile app development.

Telecom APIs are revolutionizing the telecom sector by improving the flexibility and scalability of telecom systems. The ability to easily connect various applications, devices, and services enhances operational efficiency and enables businesses to rapidly deploy new services to their customers. As more industries and sectors adopt IoT technologies, the telecom API market will continue to expand at a phenomenal rate, providing significant growth opportunities for both telecom operators and technology providers.

In conclusion, the growing adoption of IoT, wearable devices, and cloud-based solutions are set to drive the telecom API market to new heights, with an anticipated CAGR of 21.3% from 2023 to 2030. The continuous need for seamless connectivity, cost-effective solutions, and efficient system integration will be key factors propelling market growth over the forecast period.

Gather more insights about the market drivers, restrains and growth of the Telecom API Market

Regional Insights

North America

In 2022, North America held the largest market share in the Telecom API market, accounting for over 29% of the total market revenue during the forecast period. This growth can be attributed to the strong presence of major market players in the region, including global technology giants like Broadcom, AT&T Intellectual Property, Google, and Oracle Corporation, among others. These companies are key contributors to the development and adoption of telecom API solutions, enhancing the region’s dominance in the market.

Additionally, the adoption of advanced network technologies, such as 4G and the ongoing improvements in 5G technology, has been a significant factor driving the high growth of telecom APIs in North America. With the integration of 4G and 5G networks, telecom APIs are enabling faster and more efficient communication services. These technologies facilitate a wide range of services, such as voice and video calls, as well as video and speech integration services. By using telecom APIs in conjunction with 4G/5G technologies, businesses can deliver more robust and high-quality services, leading to increased productivity and customer satisfaction.

Furthermore, as 5G networks continue to expand, telecom APIs will play a critical role in managing the large volumes of data and ensuring the efficient functioning of communication services. The North American market is expected to maintain strong growth as demand for enhanced connectivity and performance increases.

Asia Pacific

The Asia Pacific region is projected to be one of the most attractive markets for telecom APIs, driven by several factors, including the rapid increase in mobile subscribers and the growing adoption of 5G technologies. The region is experiencing the fastest compound annual growth rate (CAGR) of over 25.1% from 2023 to 2030, reflecting the strong momentum of market expansion.

According to a report by GSMA, as of 2021, there were more than 1.2 billion mobile internet users in Asia Pacific. This number is expected to grow to 1.5 billion by 2025, further boosting demand for telecom APIs. The growing number of mobile users across countries like China, India, and Japan, combined with the rapid rollout of 5G networks, is creating ample opportunities for telecom API providers to offer innovative solutions that cater to the increasing need for fast, reliable communication.

With the rise of mobile internet users, there is also a surge in the demand for services that rely on mobile networks, including mobile banking, IoT applications, digital entertainment, and e-commerce. Telecom APIs are central to the success of these services, as they provide the necessary interface to connect users, devices, and applications seamlessly.

The adoption of 5G technology is expected to significantly enhance the capabilities of telecom APIs, enabling more efficient data transmission, low-latency communication, and the integration of advanced technologies like augmented reality (AR), virtual reality (VR), and autonomous vehicles. As these technologies proliferate across Asia Pacific, telecom APIs will be essential for managing complex, high-volume, and real-time communications, driving continued growth in the market.

Browse through Grand View Research's Communication Services Industry Research Reports.

• The global mobile marketing market size was valued at USD 18.90 billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 23.9% from 2024 to 2030.

• The global optical transport network (OTN) hardware market size was valued at USD 19.21 billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 7.9% from 2024 to 2030.

Key Companies & Market Share Insights

The telecom API market is highly fragmented and characterized by intense competition among key players operating in various regions. Within each region or country, the market is often dominated by a few prominent Communications Service Providers (CSPs) that lead the charge in the development and deployment of telecom APIs. These CSPs, along with third-party solution developers and system integrators, are continuously adopting organic and inorganic growth strategies to maintain or expand their market presence.

Key Telecom Api Companies

Key growth strategies being implemented include:

• Mergers and Acquisitions (M&A)

• Partnerships

• Joint Ventures or Collaborations

• New Product and Service Launches

Order a free sample PDF of the Telecom API Market Intelligence Study, published by Grand View Research.

[creativeera]

Multiservice Provisioning Platform Market Poised to Grow at a Robust Pace Owing to Increasing Demand

Market Overview The multiservice provisioning platform market allows operators to deliver a variety of telecommunication services such as voice, data, and multimedia over a single network infrastructure. The platform enables service providers to seamlessly roll out new converged data, voice and multimedia services for residential and business customers. It offers a simplified and automated approach for adding new connection types and innovative service bundles. Leveraging software-defined networking and virtualization technologies, multiservice provisioning platforms help operators maximize resource utilization, simplify operations and improve time-to-market for new services.

Global multiservice provisioning platform market is estimated to be valued at USD 47.83 Bn in 2024 and is expected to reach USD 65.27 Bn by 2031, exhibiting a compound annual growth rate (CAGR) of 4.5% from 2024 to 2031.

Key Takeaways Key players operating in the multiservice provisioning platform market are Alcatel SA, Ciena Corporation, Cisco Systems Inc., ECI Telecom Ltd., Ericsson, Fujitsu Network Communications Inc., Lucent Technologies Inc., Marconi Corporation plc. The Multiservice Provisioning Platform Market Size  is expected to witness growing opportunities due to increasing demand for cloud-based, software-defined and virtualized services. Multiservice provisioning platforms enable simplified, automated and unified delivery of various digital services including voice, data, content, mobility and smart home solutions. Globally, North America dominates the multiservice provisioning platform market currently. However, Asia Pacific is anticipated to witness the highest growth over the forecast period supported by rapid infrastructure development, 5G deployment and growing population. Major players are focused on expansion opportunities in emerging economies through partnerships and collaborations. Market Drivers The increasing demand for convergence services is a major growth driver for this market. Customers expect seamless access to different services through multiple devices. Multiservice provisioning platforms allow telecom operators to offer innovative converged service bundles across different technologies through a single solution. Multiservice Provisioning Platform Market Size and Trends simplifies operations and improves customer experience. Multiservice provisioning platforms also help operators maximize infrastructure utilization and monetize existing network assets through efficient rollout of new services.

PEST Analysis Political: The globalization and emergence of multinational corporations has led many nations to form regulations and policies encouraging digitalization and connectivity. This has positively impacted the adoption of multiservice provisioning platforms. Economic: Growing economies worldwide have increased spending on network infrastructure. Telecom operators are investing significantly in upgrading legacy systems to keep pace with rising data usage and demand for high-speed networks. This presents opportunities for multiservice provisioning platform providers. Social: Widespread internet and smartphone adoption have changed consumer behavior and preferences. People now demand high-speed reliable connectivity for accessing real-time entertainment, social media, and collaboration tools from anywhere. This has accelerated the need for platforms offering centralized operations. Technological: Emerging technologies like 5G, IoT, and edge computing require more flexible, software-defined infrastructure that can rapidly deploy new services. Multiservice provisioning platforms allow dynamic service creation, integration and optimization across physical and virtual networks through open APIs and SDN/NFV principles. The market in terms of value is concentrated primarily in North America and Western Europe. This is due to high mobile and broadband penetration along with major telecom operators headquartered in these regions who are leading adopters for modernizing their networks. The Asia Pacific region, especially countries like China and India, presents the fastest growth opportunity. Rapid digitalization initiatives by governments coupled with increasing consumer demand for broadband and rising smartphone usage are driving massive network investments. Key telecom firms view multiservice platforms as strategic to handle exponentially rising data traffic and support new technologies.

Get more insights on Multiservice Provisioning Platform Market

For Deeper Insights, Find the Report in the Language that You want

French

German

Italian

Russian

Japanese

Chinese

Korean

Portuguese

Priya Pandey is a dynamic and passionate editor with over three years of expertise in content editing and proofreading. Holding a bachelor's degree in biotechnology, Priya has a knack for making the content engaging. Her diverse portfolio includes editing documents across different industries, including food and beverages, information and technology, healthcare, chemical and materials, etc. Priya's meticulous attention to detail and commitment to excellence make her an invaluable asset in the world of content creation and refinement.

(LinkedIn- https://www.linkedin.com/in/priya-pandey-8417a8173/)

[differenttimemachinecrusade]

Web Real-Time Communication Market Size, Share, Scope, Key Market Drivers, Analysis, Forecast, Growth, and Industry Report 2032

The Web Real-Time Communication Market sizewas valued at USD 7.3 billion in 2023 and is expected to reach USD 128.2 Billion by 2032, growing at a CAGR of 37.51% over the forecast period of 2024-2032.

The Web Real-Time Communication (WebRTC) market is experiencing unprecedented growth, driven by the increasing demand for seamless, browser-based communication solutions. Businesses across various sectors are rapidly adopting WebRTC to enhance their digital engagement and improve user experience. This surge in adoption is being propelled by the need for real-time audio, video, and data sharing capabilities, all while bypassing traditional telecommunication infrastructure.

The Web Real-Time Communication market has evolved significantly in recent years, with a range of trends influencing its expansion. Among the most notable is the growing emphasis on enhancing video and audio quality, making communication smoother and more reliable.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3824 

Market Keyplayers:

Google - Google Meet

Twilio - Twilio Video

Agora - Agora Video SDK

Vonage - Vonage Video API

Microsoft - Microsoft Teams

Zoom - Zoom Video SDK

Cisco - Cisco Webex

Amazon Web Services (AWS) - Amazon Chime SDK

Daily.co - Daily.co Video API

Jitsi - Jitsi Meet

8x8 - 8x8 Video Meetings

Sinch - Sinch Video

TokBox (now part of Vonage) - OpenTok

Pexip - Pexip Infinity

Whereby - Whereby Meeting

RingCentral - RingCentral Video

Mangoceuticals - Mangoceuticals Telehealth Platform

Wowza - Wowza Streaming Engine

Xirsys - Xirsys WebRTC Platform

WebRTC Ventures - WebRTC Solutions for Businesses

Web Real-Time Communication Market Trends

The WebRTC  Additionally, businesses are embracing WebRTC as a cost-effective solution, eliminating the need for proprietary software or plugins. Furthermore, the increasing use of WebRTC for mobile communication, remote work solutions, and telehealth services is further accelerating the market's growth. Companies are also integrating artificial intelligence (AI) with WebRTC to improve communication quality, automate tasks, and create more personalized experiences for users.

Enquiry of This Report: https://www.snsinsider.com/enquiry/3824 

Market Segmentation:

By Deployment

On- Premise

Cloud-Based

By Solutions

Voice Calling & Conferencing

Messaging & File Sharing

Video Calling & Conferencing

Others (Online Gaming)

By Enterprise type  

Small and Medium-Sized Businesses

Large Enterprises

By Vertical  

BFSI

Healthcare

Media & Entertainment

IT & Telecom

Market Analysis

Adoption by Enterprises: Enterprises are increasingly relying on WebRTC for internal communications, client-facing services, and customer support due to its low latency and scalability. It is also being adopted for online meetings, collaboration tools, and virtual events, further expanding its application.

Integration with Cloud Solutions: The integration of WebRTC with cloud-based solutions is streamlining communication services. Cloud computing offers scalability and flexibility that businesses need, allowing them to manage real-time communications effectively without heavy infrastructure investments.

Mobile and Remote Work Solutions: With the rise of remote work, WebRTC's ability to provide reliable real-time communication has made it a go-to technology for mobile apps, video conferencing, and collaboration platforms.

Security and Privacy Enhancements: Security is a critical concern in real-time communication. As such, there has been a heightened focus on WebRTC security standards, including end-to-end encryption, to ensure that users’ data is protected while maintaining a high-quality communication experience.

Future Prospects of the WebRTC Market

The WebRTC market is poised for continued growth in the coming years. Innovations in artificial intelligence, 5G connectivity, and cloud technologies are expected to further enhance the market's capabilities. Additionally, as the global workforce becomes increasingly decentralized, the demand for real-time communication solutions will continue to rise, solidifying WebRTC’s position as an essential tool for remote collaboration. In particular, WebRTC’s use in sectors such as healthcare, education, and e-commerce will likely expand, with organizations in these fields recognizing its potential to improve accessibility and streamline processes.

Access Complete Report: https://www.snsinsider.com/reports/web-real-time-communication-market-3824 

Conclusion

The WebRTC market is rapidly evolving and transforming how businesses and individuals communicate. With its impressive scalability, cost-effectiveness, and the growing demand for real-time interaction, WebRTC is set to revolutionize industries across the globe. As technological advancements continue to shape its future, we can expect WebRTC to remain at the forefront of the communications landscape, providing innovative solutions that cater to the ever-changing needs of modern society.

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)

[newsmarketreports]

The Landscape of Telecom: Analyzing Bandwidth's Key Competitors

Bandwidth Inc. is a prominent player in the cloud communications and VoIP services industry, providing businesses with voice, messaging, and emergency services. With a strong focus on innovation and customer-centric solutions, Bandwidth Inc. has established itself as a leader in the communications sector. However, the competitive landscape is dynamic, with several key players vying for market share. This article offers a comprehensive analysis of Bandwidth Inc.'s major competitors, focusing on their strengths, market positions, and strategic initiatives.

To know about the assumptions considered for the study, Download for Free Sample Report

Understanding the Competitive Landscape

The cloud communications industry is characterized by rapid technological advancements, increasing customer demands, and intense competition. Bandwidth Inc. operates in a market with numerous competitors, each offering unique value propositions. To maintain its leadership position, Bandwidth must continuously innovate and adapt to changing market conditions.

Major Competitors of Bandwidth Inc.

Twilio Inc.

Twilio Inc. is one of the most formidable competitors in the cloud communications space. Founded in 2008, Twilio has grown rapidly, becoming a go-to platform for developers looking to integrate communication services into their applications. Twilio's API-driven approach allows businesses to easily incorporate voice, messaging, and video capabilities into their apps, making it a preferred choice for companies seeking flexibility and scalability.

Market Position: Twilio has a dominant market position, supported by its extensive developer community and broad product portfolio. The company's ability to cater to both small startups and large enterprises gives it a competitive edge.

Strategic Initiatives: Twilio has focused on expanding its product offerings through acquisitions, such as the purchase of SendGrid, a leading email API platform. This move has strengthened Twilio's position in the communications-as-a-service (CaaS) market.

Vonage Holdings Corp.

Vonage Holdings Corp. is another significant competitor in the cloud communications sector. Originally known for its consumer VoIP services, Vonage has successfully transitioned into a business-focused provider of cloud-based communication solutions. The company's products include unified communications, contact center solutions, and API-driven services.

Market Position: Vonage holds a strong position in the small and medium-sized business (SMB) market, offering comprehensive communication solutions that cater to the specific needs of this segment.

Strategic Initiatives: Vonage has invested heavily in its API platform, Vonage API (formerly Nexmo), which enables developers to integrate messaging, voice, and video services into their applications. The company's focus on the API market has positioned it as a key player in the CaaS space.

RingCentral Inc.

RingCentral Inc. is a leading provider of unified communications-as-a-service (UCaaS) solutions, offering businesses a comprehensive suite of communication tools, including voice, video conferencing, messaging, and collaboration. RingCentral's cloud-based platform is designed to enhance business communication and collaboration, making it a strong competitor to Bandwidth Inc.

Market Position: RingCentral has established a strong foothold in the UCaaS market, particularly among mid-sized to large enterprises. The company's ability to deliver scalable, reliable, and secure communication solutions has earned it a loyal customer base.

Strategic Initiatives: RingCentral has formed strategic partnerships with major players like Avaya and Alcatel-Lucent Enterprise, enabling it to expand its reach and offer integrated solutions to a broader audience. These partnerships have been instrumental in driving RingCentral's growth.

8x8 Inc.

8x8 Inc. is another key competitor in the cloud communications market, offering a range of services, including voice, video, chat, and contact center solutions. 8x8's focus on delivering an integrated platform that supports global communication needs has made it a preferred choice for businesses with international operations.

Market Position: 8x8 has carved out a niche in the market by offering a global communication platform that caters to both SMBs and large enterprises. The company's ability to provide seamless communication across borders gives it a competitive advantage.

Strategic Initiatives: 8x8 has been expanding its product offerings and geographic reach through strategic acquisitions and partnerships. The company's focus on innovation and customer experience has helped it maintain a strong competitive position.

Cisco Systems Inc. (Webex)

Cisco Systems Inc., through its Webex brand, is a significant player in the enterprise communication and collaboration space. Webex provides a suite of tools for video conferencing, team collaboration, and cloud calling, making it a direct competitor to Bandwidth Inc.'s offerings.

Market Position: Cisco's Webex is well-positioned in the enterprise market, particularly among large corporations that require robust, secure, and scalable communication solutions. The brand's strong reputation and extensive product portfolio make it a formidable competitor.

Strategic Initiatives: Cisco has been enhancing its Webex platform with AI-powered features, security upgrades, and integrations with other enterprise tools. The company's focus on providing a seamless user experience and cutting-edge technology has reinforced its position as a leader in the enterprise communications market.

Comparative Analysis

While Bandwidth Inc. holds a strong position in the cloud communications industry, its competitors, such as Twilio, Vonage, RingCentral, 8x8, and Cisco, offer compelling alternatives. These competitors have successfully leveraged their strengths—be it in API-driven services, unified communications, or global reach—to capture significant market share.

Innovation and Technology

Innovation is a critical factor that sets these competitors apart. Twilio's API-driven approach, RingCentral's partnerships, and Cisco's AI-enhanced Webex platform demonstrate how these companies are pushing the boundaries of what's possible in cloud communications. Bandwidth Inc. must continue to invest in cutting-edge technology and explore new ways to differentiate its offerings to stay competitive.

Market Focus and Segmentation

Each competitor has a unique market focus. For example, Vonage targets SMBs, while Cisco's Webex is geared towards large enterprises. Bandwidth Inc.'s ability to address the needs of its target market segments will be crucial in maintaining and growing its market share.

Strategic Partnerships and Acquisitions

Strategic partnerships and acquisitions have played a pivotal role in the growth of Bandwidth's competitors. Twilio's acquisition of SendGrid and RingCentral's partnerships with Avaya are examples of how these companies have expanded their capabilities and customer base. Bandwidth Inc. could benefit from similar strategies to enhance its competitive position.

Conclusion

Bandwidth Inc. operates in a highly competitive industry with formidable competitors such as Twilio, Vonage, RingCentral, 8x8, and Cisco. These companies have leveraged their strengths in innovation, market focus, and strategic partnerships to carve out significant market shares. To maintain its leadership position, Bandwidth Inc. must continue to innovate, focus on its core strengths, and explore strategic opportunities for growth.

[aadeshmmr]

The size of the global telecom API platform market was estimated at US$ 343.82 billion in 2023 and is projected to grow at a CAGR of 19.87% to US$ 1222.66 billion by 2030.

[govindhtech]

Google Cloud Ericsson Cognitive Software Boosts Networks

Cognitive Software

Every radio access network (RAN) has different planning and optimisation issues, regardless of the network architecture or generation. In order to quickly react to changing use cases and accelerate time to market, Ericsson’s Cognitive Software network planning and optimisation solution uses a cutting-edge AI-based methodology to optimise network performance. The company is also investigating Google Cloud.

It is a difficult effort to find and fix network problems when there are hundreds of thousands of cells in a network to evaluate. Nonetheless, cognitive software’s robust history of AI-driven network optimisation offers clever ways to identify and fix anomalies in the network.

Google Cloud and Ericsson Cognitive Software have worked together throughout technology research to combine cutting-edge hyperscale cloud services like BigQuery and Vertex AI. Due to this integration, Google Cloud’s Vertex AI was used to demonstrate the Cell Anomaly Detector use case, which was initially introduced at the Mobile World Congress in Barcelona in 2024.

The demonstration shows off the potential of utilising the Cognitive software AI model from Ericsson, which is installed on Google Cloud’s Vertex AI, to identify anomalies in cellular networks. This is an interesting development at the nexus of cloud computing and digital technologies.

The Google Cloud and Ericsson investigation uses AI technology to further improve network design, optimisation, and operation while offering operators dynamic, scalable solutions that drastically shorten time to market.

An innovative approach to network performance management is the Cell Anomaly Detector Ericsson’s Cognitive Software created the Cell Anomaly Detector in order to proactively detect, categorise, and resolve cell-related problems in radio access networks (RAN).

This use case, which performs a multi-dimensional analysis on more than 200 KPIs to find hidden patterns and swiftly and reliably identify problems, is a pathfinder in the telecom industry. With an astounding 98% accuracy rate, the tool is able to classify aberrant cells into multiple issue classes, maybe surpassing human skill levels.

Following that, a web user interface with APIs to integrate with other apps already in use by communication service providers and comprehensive insights into the problems are presented. For more than 60 network operators worldwide, this strategy has significantly improved network KPIs, decreased customer complaints, and minimised operational cost (OPEX).

The importance of hyperscale cloud providers in enhancing Ericsson’s capabilities with Cognitive Software A key to success in the ever changing tech scene of today is having domain expertise. Utilising our industry-leading RAN domain experience combined with cutting-edge AI technology to fully realise the potential of next-generation networks, Ericsson provides its Cognitive Software. In addition, Google cloud investigate the advantages of server-less services using Google Cloud, which enable CSPs (communication service providers) to maximise their total cost of ownership (TCO).

This is the situation in which an HCP (hyperscale cloud provider) structure becomes useful. Utilising services from a source such as Google Cloud allows us to reduce many of these expenses, increase consumer value, and spur innovation.

MLOps’s contribution to enhancing Ericsson’s Cognitive Software Building, deploying, and operationalizing machine learning systems quickly and reliably is made possible by Machine Learning Operations, or MLOps, which offers a standardised set of procedures and technological capabilities. This methodology is essentially a machine learning and data science extension of DevOps.

They can increase the effectiveness, scalability, and reliability of Google Cloud products by using MLOps. Parts of the machine learning process can be automated, which can improve results and save expenses. Data from RAN performance management is ingested and aggregated to KPIs kept in Google Cloud’s BigQuery for the Cell Anomaly Detector. The VertexAI MLOps platform then processes this data, sending the conclusions to cloud storage.

Google Cloud solutions like BigQuery and Vertex AI offer serverless Software as a Service (SaaS) features that can lower TCO compared to IaaS. The SaaS approach lets you pay as you use the services, not in advance.

The Cell Anomaly Detector Demonstration Leader in telecom infrastructure, Ericsson, is transforming its Cognitive Network Solutions by using the potential of Google Cloud. These AI-powered technologies are designed to provide outstanding user experiences, lower costs, and maximise network efficiency. By working together, these titans of industry are expanding the limits of what is feasible in the field of network administration.

AI Engine: Cognitive Software Ericsson’s Cognitive Network Solutions are based on Cognitive Software. This software suite automates network operations that have historically been performed by human engineers by utilising artificial intelligence ( AI). Envision a network consisting of hundreds of thousands of cells, all of which need continuous optimisation and monitoring. By evaluating enormous volumes of network data, seeing trends, and automatically modifying network settings for optimal performance, Cognitive Software overcomes this difficulty.

The Benefits of Google Cloud Ericsson realised that in order to fully utilise Cognitive Software, which is a potent instrument, a stable cloud platform was necessary. Here’s where Google Cloud can help. Google Cloud has numerous significant benefits:

Scalability Demands on telecom networks change during the course of the day. Because of Google Cloud’s highly scalable infrastructure, Cognitive Software can adjust to these changes and maintain the resources it requires to operate at its best.

Machine Learning Expertise Google possesses a leading position in machine learning (ML) technology. Ericsson may take advantage of Google Cloud’s Vertex AI platform to better improve the capabilities of its AI models inside of Cognitive Software. Vertex AI accelerates innovation and enhances network insights by streamlining the creation and implementation of machine learning models.

Data analytics The ability to analyse large amounts of data is essential for effective network optimisation. A strong foundation for storing and analysing network data is offered by Google Cloud’s BigQuery service. Ericsson network behaviour thanks to BigQuery, which helps Cognitive Software make wiser choices.

A Joint Venture: The Cell Anomaly Detector The Cell Anomaly Detector is a perfect illustration of how Ericsson and Google Cloud collaborated. This AI-powered programme finds anomalies in cellular networks by using Vertex AI. The Cell Anomaly Detector uses real-time data analysis to identify possible problems such as congestion or signal interference before they have a major negative influence on the user experience. Service providers may quickly resolve issues with this proactive approach to network management, reducing downtime and guaranteeing a positive customer experience.

The Prospects for Network Management Network management has advanced significantly as a result of the partnership between Ericsson and Google Cloud. Through the application of AI and cloud computing, Ericsson is developing a new class of cognitive networks that include:

Self-Optimizing Networks that are self-optimizing may adapt to shifting demands on their own and maintain peak performance without the need for human intervention.

Predictive Predictive maintenance and increased network stability are made possible by AI’s capacity to foresee possible problems with networks before they arise.

Economical By streamlining resource allocation and automating network chores, service providers can save a lot of money.

With better reliability, faster speeds, and a more seamless user experience, this technical revolution promises to completely transform the way we experience mobile connectivity.

In summary The implementation of HCP and MLOps in conjunction with Ericsson’s Cognitive Software has been shown to have potential through technical research conducted using Google Cloud. The Vertex AI framework’s complete automation of ML model life cycle management guarantees stable, scalable, and adaptable operations. It also simplifies ML model maintenance, identifies accuracy deviations, speeds up time to market, and above alllowers total cost of ownership (TCO) thanks to HCP’s pay-as-you-go consumption model.

Read more on Govindhtech.com