#Telecom API Market Share

[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.

[full-stackmobiledeveloper]

Driving Success: Essential Marketing & User Acquisition Strategies for Your New Taxi App

Launching a successful taxi app in today’s ride-hailing market is an exciting yet challenging goal. Visionary entrepreneurs invest heavily in developing robust, user-friendly apps with powerful backend systems, often integrating advanced AI and machine learning technologies to enhance ride-hailing experiences. However, building a great product is only half the battle. The real key to success lies in mastering taxi app marketing and implementing sophisticated user acquisition strategies that effectively attract both riders and drivers.

In 2025, the mobile transportation industry faces fierce competition, evolving user expectations, and the complexities of managing two-sided marketplaces. New entrants must navigate these challenges with a comprehensive growth strategy. This guide provides a strategic blueprint to help businesses transform their innovative ideas into thriving operations, covering crucial areas such as launching customized carpool software and optimizing taxi dispatch systems for peak performance and scalability in a highly competitive landscape.

1. Pre-Launch & Launch Mastery: Laying the Groundwork for Impact

A resounding taxi app launch isn't a single event; it's the crescendo of meticulous planning and strategic pre-release efforts. Success begins long before your app hits the app stores.

Local Launchpad: Mapping Your Taxi App's Initial Service Area for Maximum Impact

Choosing your initial operational territory is a make-or-break decision for any taxi app or ridesharing app. This requires more than just drawing a circle on a map; it demands in-depth market intelligence.

Demographic Research: Identify your target users—commuters, students, leisure travelers, or families—using census data, economic reports, and tools like Nielsen to understand income levels, smartphone usage, commuting habits, and public transport reliance. For drivers, analyze local employment rates, wages, and gig economy trends to develop effective acquisition strategies and make your rideshare app stand out.

Traffic Pattern Analysis: Use big data, transport authority statistics, telecom mobility data, and tools like Google Maps API to map peak travel times, busy routes, nightlife hotspots, and underserved areas. This insight helps optimize driver positioning and marketing efforts for taxi dispatch or carpool apps.

Competitive Landscape Mapping: Conduct a detailed SWOT analysis of competitors beyond just naming Uber or Lyft. Study their apps, pricing, driver commissions, reviews, and marketing to identify service gaps such as poor support or limited coverage. These insights help define your unique selling points and guide app development.

Initial Pricing Strategy: Base your pricing on competitive analysis and cost modeling. Consider dynamic pricing while complying with local regulations. Use A/B testing for introductory offers or bundles to attract early adopters. Smart initial pricing is a key differentiator, especially for Uber clone apps, and understanding taxi dispatch system costs is essential for long-term strategy.

Viral Voltage: How to Design a Pre-Launch Referral Program That Actually Gets People Talking (and Signing Up!)

Harnessing word-of-mouth before your app even goes live can generate explosive growth. This is particularly effective for ride-sharing app concepts.

Detailed Mechanics: Implement a dual-sided incentive system. For instance, both the referrer (who shares your app) and the referred individual receive a substantial benefit upon sign-up and their first completed ride. This could be free ride credits, significant discounts, or even cash bonuses. Transparency about the terms is crucial for ensuring a genuine best carpool program.

Tiered Incentives & Gamification: Elevate engagement by offering escalating rewards for super-referrers. For example, after referring 5 users, they unlock a higher discount rate; after 10, they get exclusive access to beta features or premium customer support. Introduce a leaderboard to foster friendly competition among referrers in your carpooling app.

Effortless Sharing: Make it incredibly easy for users to share their unique referral code or link. Provide readily available sharing options via social media integrations (Facebook, Instagram, WhatsApp), direct messaging, and email. Craft pre-written, compelling messages that highlight your app's unique benefits.

Psychology of Sharing: Tap into intrinsic motivators beyond just monetary gain. Appeal to users' desire for social currency ("Be the first to share this amazing new app!"), altruism ("Help your friends save money on rides!"), or self-interest (the dual-sided reward). Create a sense of exclusivity for early participants who get to be part of something new and exciting. This strategy can be applied to any ridesharing app looking to launch your branded UberPool-like rideshare software app.

Crisis-Proofing Your Launch: Anticipating and Mitigating Common Hurdles for New Ride-Hailing Apps

No launch is perfectly smooth. Preparing for potential pitfalls can save your taxi app from early setbacks, especially for complex platforms developed by a rideshare app development company.

Technical Glitches: Conduct extensive pre-launch stress testing for your taxi booking app development. Simulate peak user loads to ensure your servers can handle demand. Thoroughly test payment gateway integrations, GPS accuracy, and real-time mapping functionality. Have a dedicated technical support team on standby for immediate bug fixes and issue resolution. Implement a robust monitoring system for immediate alerts.

PR Challenges: Develop a comprehensive crisis communication plan. Anticipate potential negative press, such as initial service hiccups, driver shortages, or aggressive competitor smear campaigns. Prepare pre-approved holding statements, designate a single, credible spokesperson, and establish clear channels for internal and external communication. Proactive communication and transparency can turn a potential crisis into a testament to your responsiveness.

Unexpected Competition: Continuously monitor competitor moves. Be ready to deploy agile marketing campaigns if a rival launches a new feature, offers aggressive promotions, or enters your specific niche, like carshare app services or even bike rental. Have a rapid response team that can analyze competitive shifts and propose immediate counter-strategies beyond just price matching, focusing on your USP.

Contingency Plans: Develop "Plan B" scenarios for critical metrics. What if the initial driver acquisition for the taxi app is lower than expected? How will you adjust your incentives or marketing spend? What if rider acquisition is slow? Consider rapid adjustments to pricing, targeting, or even a temporary shift in geographical focus. This foresight is crucial for any software for a taxi business.

2. Fueling Growth: User & Driver Acquisition (Deeper Dives)

Once the app is built and the launch strategy is in place, the real work of attracting and retaining your two core user bases begins for any software taxi dispatch system.

The Driver's Journey: Crafting an Onboarding Experience That Converts Prospects into Loyal Fleet Members

Your drivers are the engine of your taxi app. A seamless and supportive onboarding process is paramount for a driver acquisition taxi app, ensuring you build a reliable fleet and attract the best rideshare apps for drivers.

Streamlined Sign-Up: Minimize friction in the application process. Allow for quick, mobile-friendly registration. Provide clear instructions for documentation uploads (driver's license, vehicle registration, insurance) and integrate secure, efficient background check services. This applies whether they are driving for a standard taxi cab dispatch system or a dedicated driver (vehicle owner) app for a ride-sharing platform.

Comprehensive Verification & Training: Ensure all drivers meet stringent safety and legal requirements. Offer flexible training options—online modules, video tutorials, and potentially in-person sessions for practical skills. Cover topics like using the taxi driver application effectively, navigating the city, customer service best practices, and emergency protocols.

First-Ride Support: Offer dedicated support for a driver's initial rides. This could involve a mentorship program with experienced drivers, a dedicated hotline for immediate questions, or in-app prompts and checklists to guide them.

AI-Driven Driver Matching & Support: Leverage Use AI-driven driver matching to pair drivers with rides based on factors beyond proximity, such as earnings potential, vehicle type, and driver preferences. AI also provides predictive analytics, highlighting high-demand zones and peak times to optimize driver efficiency and earnings, boosting satisfaction and loyalty.

Retention Rhapsody: Leveraging Gamification and Community Building to Keep Riders Coming Back

Beyond just getting them to download, the goal is to make your app an indispensable part of their daily routine for passenger acquisition taxi apps and long-term customer retention taxi apps. This is where your taxi software can truly shine.

Gamification: Introduce elements that make using your app fun and rewarding. Implement loyalty programs with tiered rewards (e.g., earn points for every ride, unlock premium features). Introduce in-app challenges (e.g., "Take 5 rides this week, get a bonus!") that offer personalized badges or leaderboards for active users on your carpool app or ridesharing app.

Personalized Badges & Milestones: Reward users for specific actions or milestones (e.g., "Eco Warrior" for choosing sustainable rides, "Night Owl" for frequent late-night travel, or "Frequent Commuter" for daily trips). These small gestures build engagement.

Community Features: While not for all apps, consider light community features like an in-app forum for carpool-and-ride-sharing-app users or localized social media groups where users can share experiences and offer feedback. This fosters a sense of belonging and strengthens your user engagement strategy.

Proactive Engagement: Use AI-driven user engagement to send personalized notifications for upcoming events, personalized discounts based on past ride history, or reminders about loyalty points.

De-Risking the Ride: Building Trust Through Transparency and Safety Features in Your Acquisition Messaging

Safety and trust are paramount in the ride-hailing industry. Make them a cornerstone of your taxi app marketing and core to any taxi booking app development company.

Communicate Protocols Clearly: Be transparent about your rigorous driver vetting processes (background checks, driving record reviews), regular vehicle inspections, and comprehensive insurance policies. Feature these prominently in your marketing materials, on your website, and within the app.

Highlight In-App Safety Features: Promote critical functionalities such as

SOS Button: Instant access to emergency services or support.

Trip Sharing: Share live ride status with trusted contacts.

ID Verification: Secure logins via multi-factor or facial recognition.

24/7 Support: Help available anytime, day or night.

Transparency in Pricing: Be upfront about surge charges and fare calculations to build trust.

Visual Trust Signals: Use testimonials, top driver ratings, and security badges to build trust. Employ AI-driven fraud detection to keep the platform secure, ensuring safety for both users and drivers—a vital feature of modern taxi software.

3. Digital Powerhouses: Key Marketing Channels

Beyond general strategies, specific digital marketing for app channels will be your workhorses for ride-hailing app growth.

Beyond the Click: Optimizing Your Landing Pages and Conversion Funnels for Paid Taxi App Campaigns

Your paid advertisements, whether Google Ads for taxi apps or Facebook Ads for taxi apps, are only as effective as the conversion path they lead to.

High-Converting Elements: Landing pages must be lightning-fast, mobile-responsive, and have a clear, compelling call to action (e.g., "Download Now," "Sign Up to Drive"). Use concise, benefit-driven headlines, persuasive imagery, and social proof (testimonials, trust badges). Minimize distractions.

Conversion Funnels: Map the entire user journey from the initial ad click through app download, sign-up, and the first completed ride. Utilize analytics tools to identify bottlenecks or drop-off points at each stage. A/B test different versions of your landing pages, ad creatives, and even in-app onboarding flows to continuously optimize conversion rates.

Retargeting Strategies: Don't let interested users slip away. Implement retargeting campaigns to re-engage individuals who visited your landing page but didn't download the app or who downloaded but didn't complete their first ride. Personalize these retargeting ads based on their last interaction. This is key for any rideshare app development company.

The Power of Local SEO: Dominating Google My Business and Local Listings for Taxi App Visibility

For a location-based service, appearing prominently in local searches is paramount for organic user acquisition strategies.

Google My Business (GMB) Optimization: This is your digital storefront. Claim and fully optimize your GMB profile with accurate business hours, phone number, website, and a compelling description. Upload high-quality photos of your vehicles and team. Actively utilize the GMB Q&A section and post updates about promotions or service changes.

Local Listings & Citations: Ensure consistent NAP (Name, Address, Phone Number) information across all major online directories (Yelp, TripAdvisor, local chambers of commerce, industry-specific listing sites). This is vital for any software taxi dispatch operation.

Review Management: Actively solicit and respond to all reviews on GMB and other platforms. Positive reviews significantly boost your local search ranking for queries like "taxi near me" or "ride-hailing [city name]." Address negative feedback professionally and promptly, demonstrating your commitment to customer satisfaction.

Visual Storytelling: Crafting Compelling Video Ads for Your Ride-Hailing App on Social Media

Video content is highly engaging and perfect for showcasing the user experience on platforms like TikTok, Instagram Reels, and YouTube.

Compelling Hooks: Capture attention in 3 seconds with a relatable problem and solution.

Concise Messaging: Keep videos 15-60 seconds, highlighting 1–2 key benefits with text overlays.

Clear CTAs: End with strong calls to action like “Download Now” or “Sign Up.”

Platform Adaptation: Customize format, music, and messaging for each social platform and target audience.

4. The AI Edge & Expanded Mobility: Driving Smart Growth

Artificial intelligence (AI) is no longer a luxury but a fundamental necessity for competitive ride-hailing app growth, transforming every facet of marketing and operations. Beyond AI, the mobility sector is expanding rapidly into diverse solutions.

Personalized Marketing AI: AI in taxi apps analyzes vast amounts of user data (ride history, preferred times, locations, device type, past promotions engaged with) to create highly granular user segments. This enables personalized marketing AI to deliver hyper-targeted promotions, notifications, and ride suggestions ("50% off your next ride from work," "Exclusive weekend discount to your favorite restaurant"). This level of personalization significantly boosts conversion rates and fosters AI-driven user engagement.

Predictive Analytics for Demand: Leveraging machine learning for ride-hailing, your app can process historical data (time of day, day of week, weather, local events, public holidays) and real-time inputs (traffic, current driver availability) to predict demand surges and lulls with remarkable accuracy. This allows smart dispatch systems (a crucial AI application and part of the best taxi dispatch software) to proactively position drivers, offer dynamic incentives to drivers in low-supply areas, and manage surge pricing intelligently.

AI-Powered Driver Matching: Beyond simple proximity, AI-powered driver- matching algorithms consider a multitude of factors: the driver's current rating, historical performance, vehicle type, estimated earnings for the driver on a specific route, and even driver preferences (e.g., avoiding tolls). This optimization leads to faster pickups, more efficient routes, and higher driver satisfaction, directly improving overall service quality. This sophisticated matching is a hallmark of any truly intelligent rideshare matching system.

AI for Dynamic Pricing: Sophisticated AI for dynamic pricing models can adjust fares in real time. These models factor in demand, supply, traffic conditions, competitor pricing, and even weather. This ensures optimal revenue generation during peak times while maintaining competitiveness during off-peak hours. Clear communication about surge pricing, potentially justified by AI solutions predicting high demand, is crucial for user acceptance.

Data Science for App Growth: The immense data generated by a taxi app is a goldmine. Data science for app growth teams, armed with AI solutions, can conduct advanced A/B testing, identify high-value customer segments, predict user churn, and uncover unexpected correlations that inform marketing strategies. This data-driven approach allows for precise marketing budget allocation for maximum ROI.

AI-driven Fraud Detection: AI algorithms constantly monitor transaction patterns, ride behaviors, and driver actions to identify and flag suspicious activities (e.g., unusual ride cancellations, payment fraud attempts, account sharing). This robust security infrastructure builds immense trust among both riders and drivers, a key factor for customer retention in a taxi app.

4.1. Expanding Horizons: The Mobility Ecosystem

Beyond traditional taxis and ride-hailing, the mobility sector is diversifying rapidly.

Super Apps: The future sees mobility services integrating into a super app—a single platform offering a multitude of services. This could include not just ride-hailing, but also food delivery, payment solutions, and other daily necessities.

Micromobility: This growing segment includes solutions for bike rental and scooter sharing. Developing apps for micromobility services caters to short-distance travel within urban environments.

Car Sharing System Enhanced: Beyond simple rentals, advanced carshare app Platforms offer peer-to-peer car sharing or corporate fleet management, blurring the lines between rental and sharing. This often involves intricate car rental software.

Specialized Dispatch & Logistics: The principles of taxi dispatch software extend to other logistics. This includes trucking dispatch software for freight management and shuttle software for corporate, campus, or airport shuttle services.

Intercity and Outstation Services: The need for long-distance travel is also being addressed. Solutions for intercity ridesharing and outstation carpooling cater to users seeking affordable and convenient travel between cities.

Build Your Brand: Whether you create your own rideshare app from scratch or launch your branded UberPool-like rideshare software app, the emphasis is on establishing a unique brand identity in this competitive market.

5. Measuring Success: Key Performance Indicators (KPIs)

To ensure continuous ride-hailing app growth, rigorous tracking and analysis of critical taxi app KPIs are non-negotiable. This data informs every strategic decision and helps refine your user acquisition strategies.

Customer Acquisition Cost (CAC): Cost to acquire riders/drivers per channel; keep it low for profitability.

Lifetime Value (LTV): Total revenue per user; should exceed CAC for sustainable growth.

Conversion Rates: Track funnel stages from download to repeat rides; fix drop-offs.

Retention Rate & Churn Rate: Measure how many users stay or leave after the first ride.

Driver Utilization Rate:  Percent of time drivers are active; higher means better profits.

Acceptance Rate: Share of ride requests accepted; low rates signal supply issues.

Ride Completion Rate:  Percent of booked rides completed; shows reliability.

Net Promoter Score (NPS) / Customer Satisfaction (CSAT): Direct feedback from users to improve service quality.

Conclusion: Your Blueprint for Market Leadership in On-Demand Mobility

Launching a taxi or mobility app in 2025 demands more than great development—it requires data-driven marketing, rider and driver balance, and AI-powered insights. By carefully planning your pre-launch, leveraging digital channels, and optimizing with KPIs, you can stand out in a competitive market. Strategic execution, continuous learning, and smart decision-making are essential to build scalable, successful rideshare, carpool, or dispatch software that thrives in the evolving mobility industry.

[gtechwedmarkrting7781]

Go Global with Confidence: How International SMS Empowers Business Communication

In an age of instant gratification and real-time connectivity, communication is everything. Whether you're a growing startup or a global enterprise, one thing is clear — if you want to reach customers worldwide, you need reliable, fast, and effective communication tools. International SMS (Short Message Service) has emerged as a critical solution for businesses aiming to engage with users across borders. Despite the rise of social media and messaging apps, SMS remains a trusted, direct, and efficient way to stay connected.

This article delves into how international SMS works, its business advantages, and why it's still a go-to strategy for cross-border customer engagement.

What is International SMS?

At its core, international SMS allows you to send text messages from one country to mobile subscribers in another. Using international SMS gateway providers, businesses can dispatch messages to customers in multiple countries through a single platform. These gateways integrate with telecom operators globally, ensuring your messages are delivered efficiently and reliably.

Unlike app-based messaging services that require internet and specific applications, SMS is universal — it works on virtually every mobile phone without any additional downloads. This universality makes SMS an essential part of global communication strategies.

Why Businesses Choose International SMS

Despite the buzz around modern chat apps and email marketing, international SMS offers benefits that other channels can’t always match:

Unmatched Reach and Accessibility SMS reaches over 7 billion mobile users globally, even in areas with low internet penetration. This means your message can get to anyone, anywhere — regardless of device type or connectivity.

Lightning-Fast Delivery Messages are typically delivered within seconds. This makes SMS ideal for urgent alerts, transactional notifications, and time-sensitive promotions.

Higher Engagement Rates SMS boasts open rates of over 90%, with most texts read within minutes. Compare this to email or push notifications, and the impact becomes clear — SMS demands attention.

Simplicity and Directness SMS is straightforward. No visuals, no formatting — just a short, clear message. That simplicity makes it powerful in cutting through the noise and reaching your audience quickly.

Global Consistency Whether you're sending a message to Tokyo or Toronto, the experience remains consistent for the end user. SMS behaves the same way globally, ensuring reliable communication.

Use Cases of International SMS Across Industries

International SMS is used across various sectors for both marketing and operational purposes. Here are some common use cases:

Retail & E-commerce: Sending promotional offers, discount codes, and cart reminders to international shoppers.

Banking & Finance: Delivering secure OTPs, balance alerts, and fraud notifications.

Healthcare: Notifying patients about international health services, virtual appointments, or medical updates.

Travel & Tourism: Confirming bookings, sending flight reminders, and sharing travel advisories.

Education: Informing international students about class schedules, fees, results, and emergency updates.

Logistics & Delivery: Keeping customers informed with shipment tracking and delivery notifications.

How to Implement International SMS for Your Business

Select a Reliable SMS Gateway Provider Choose a partner with global coverage, proven delivery rates, scalability, and support for APIs. Leading providers also offer features like two-way messaging, DLT compliance (in countries like India), and real-time analytics.

Segment and Personalize Don't just broadcast — segment your list based on region, behavior, or preferences. Use the recipient’s first name, language, and local time zone to create a personal touch.

Comply with Global Regulations Ensure your messaging follows privacy laws like GDPR, TCPA, or TRAI. Use double opt-in where required and provide easy opt-out options.

Track and Optimize Use reporting tools to analyze delivery rates, open rates, click-throughs, and conversion metrics. This data can help you refine your message and timing for better results.

Best Practices for Global SMS Success

Be Concise: Stick to the 160-character limit for clarity. Say what matters upfront.

Add a Strong CTA: Encourage action, whether it's clicking a link, confirming an appointment, or replying to a message.

Localize Your Messaging: Adapt content to match the language, cultural nuances, and tone of each region.

Avoid Sending During Off-Hours: Respect the recipient’s local time zone to avoid disruption and improve engagement.

Test Before Launching at Scale: Run pilot campaigns in different regions to check delivery and response performance.

Future of International SMS

With the rise of A2P (Application-to-Person) messaging, the future of international SMS is evolving. It is being integrated with rich communication channels like RCS (Rich Communication Services) and WhatsApp Business API, yet SMS continues to be the fallback channel when others fail.

As new markets emerge and mobile penetration increases globally, the demand for reliable SMS services will only grow. Businesses that adopt SMS as part of their communication stack will benefit from better customer engagement, stronger brand trust, and wider global outreach.

Conclusion

International SMS is far from outdated — it’s a strategic asset for any business with global ambitions. Its ability to deliver quick, targeted, and reliable communication makes it a pillar of modern customer engagement. Whether you're sending critical updates, running global campaigns, or supporting international customers, SMS ensures your message arrives, is seen, and gets results.

If you're looking to expand into new regions or strengthen your global communication efforts, it's time to consider international SMS not just as a messaging tool, but as a key part of your growth strategy.

[cybersecurityict]

IoT Monetization Market: Size, Share, Analysis, Forecast, and Growth Trends to 2032 – Global Smart City Projects Spur Monetization

IoT Monetization Market was valued at USD 639.88 billion in 2023 and is expected to reach USD 27875.59 billion by 2032, growing at a CAGR of 52.1% from 2024-2032. 

IoT Monetization Market is experiencing a rapid surge as companies across industries unlock new revenue opportunities through connected devices. From manufacturing to healthcare, businesses are leveraging IoT data to create value-driven services, optimize operations, and develop innovative pricing models. This wave of transformation is especially strong in the USA and Europe, where smart infrastructure and enterprise digitization continue to accelerate.

IoT Monetization Market in the US Gains Momentum as Enterprises Unlock New Revenue Streams

The U.S. IoT Monetization Market was valued at USD 199.06 billion in 2023 and is projected to reach USD 7,611.49 billion by 2032, expanding at a CAGR of 49.95% from 2024 to 2032.

IoT Monetization Market is expanding as organizations move beyond connectivity to capitalize on the data generated by billions of IoT endpoints. Whether through subscription-based models, usage analytics, or data marketplaces, monetizing IoT is becoming a strategic priority for businesses aiming to differentiate and grow in competitive markets.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/6658 

Market Keyplayers:

SAP SE (SAP Leonardo IoT, SAP Edge Services)

General Electric Co. (Predix Platform, Asset Performance Management)

Telefonaktiebolaget LM Ericsson (Ericsson IoT Accelerator, Ericsson Device Connection Platform)

Intel Corporation (Intel IoT Platform, Intel Edge Insights)

Microsoft Corporation (Azure IoT Hub, Azure Digital Twins)

Oracle Corporation (Oracle IoT Cloud, Oracle Autonomous Database for IoT)

IBM Corporation (Watson IoT Platform, IBM Maximo)

Amdocs Ltd. (Amdocs IoT Monetization Platform, Amdocs Digital Commerce Suite)

Thales Group (Thales IoT Security Solutions, Thales Sentinel Licensing)

Cisco Systems, Inc. (Cisco IoT Control Center, Cisco Kinetic for Cities)

Market Analysis

The IoT Monetization Market is driven by the exponential growth of connected devices and the demand for real-time, actionable insights. As businesses gather vast amounts of data from sensors, machines, and wearables, the focus has shifted to converting this data into profit-generating assets. The USA leads in platform innovation and enterprise IoT deployments, while Europe emphasizes regulatory-aligned monetization models with a focus on security and user consent.

Market Trends

Rise in data-as-a-service (DaaS) business models

Increased adoption of usage-based and pay-per-use pricing

Growth in digital twins for performance optimization and monetization

Emergence of IoT marketplaces for data trading and app services

Integration with AI and edge computing for faster ROI

Subscription-based services in industrial, healthcare, and automotive sectors

Expansion of monetization APIs for developer ecosystems

Market Scope

The scope of the IoT Monetization Market is broad and evolving rapidly. As more sectors digitize, businesses are discovering untapped revenue through IoT data streams and value-added services.

Cross-industry demand for real-time monetization platforms

IoT-based service models in agriculture, logistics, and smart cities

Telecom-driven IoT monetization through connectivity bundling

OEMs embedding monetization strategies into smart products

Partner ecosystems building scalable, multi-tenant monetization solutions

Forecast Outlook

The IoT Monetization Market is poised for significant growth as enterprises scale their IoT deployments and seek new paths to profitability. With advancements in cloud, AI, and 5G fueling real-time analytics and service innovation, the future of monetization lies in the ability to extract, package, and deliver data as a high-value commodity. Businesses that embrace flexible, scalable monetization frameworks will lead in both revenue generation and customer retention across the USA and Europe.

Access Complete Report: https://www.snsinsider.com/reports/iot-monetization-market-6658 

Conclusion

IoT Monetization is no longer an afterthought—it’s a front-line business strategy. In a connected world, the value lies not just in gathering data, but in transforming it into services, experiences, and revenue. As global markets shift toward digital-first operations, those who invest in intelligent monetization tools today will shape the competitive landscape of tomorrow.

Related Reports:

US IoT MVNO market is rapidly expanding with new connectivity solutions

US IoT integration market shows rapid growth opportunities

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.

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[sreevidhya11]

The Role of WhatsApp Business API Providers in Modern Customer Engagement

In today’s fast-paced digital environment, customer expectations are higher than ever. People want fast, convenient, and personal communication with businesses—right from their mobile devices. This is where WhatsApp Business API providers come into play.

With over 2 billion active users globally, WhatsApp has evolved into a powerful business communication channel. The WhatsApp Business API enables medium and large businesses to manage customer interactions at scale—but accessing it requires the support of a trusted API provider.

Let’s explore how these providers help shape the future of customer engagement.

What Is the WhatsApp Business API?

The WhatsApp Business API is a tool that allows companies to send and receive messages with customers through WhatsApp in a programmatic and scalable way. It’s different from the regular WhatsApp Business app—it’s built for automation, integrations, and enterprise-grade communication.

Businesses use the API to:

Send order updates, reminders, OTPs

Provide real-time customer support

Run engagement campaigns

Automate FAQs via chatbots

However, businesses can’t access the API directly from WhatsApp—they need to go through official WhatsApp Business Solution Providers (BSPs) or API providers.

What Do WhatsApp Business API Providers Do?

These providers act as a bridge between WhatsApp and your business systems (CRM, website, helpdesk, etc.). Here’s what they typically offer:

1. API Access & Onboarding

They help businesses get approved, register phone numbers, and complete the official WhatsApp API setup process, which includes Business Profile verification and template approvals.

2. Messaging Platform or Dashboard

Most providers offer user-friendly platforms where you can:

Send broadcasts

Manage customer conversations

Track delivery & engagement metrics

Connect chatbots or human agents

3. Integration Support

API providers offer tools to connect WhatsApp with:

CRMs (like HubSpot, Zoho, Salesforce)

E-commerce platforms

Helpdesk systems

Marketing automation tools

4. Compliance & DLT Support

For countries like India, providers ensure compliance with local messaging regulations and telecom guidelines.

5. Analytics & Reporting

You get insights into message delivery, open rates, response times, and user interactions—essential for optimizing your customer engagement strategy.

Why WhatsApp API Matters for Customer Engagement

Real-Time Communication: Customers get updates instantly and can respond just as quickly.

Two-Way Interaction: Unlike SMS or email, WhatsApp fosters genuine conversations.

Rich Media Support: Share documents, images, buttons, and links in one message.

Higher Open Rates: WhatsApp messages are typically read within minutes.

Global Reach: Perfect for businesses engaging international customers.

Choosing the Right API Provider

Not all providers offer the same experience. Here are key points to consider:

Is the provider an official WhatsApp BSP?

Do they offer a reliable support team?

Is their platform easy to use?

Do they support API integrations for automation?

Are they compliant with local telecom regulations?

Commonly used WhatsApp Business API providers include:

Twilio

360dialog

Vonage

BhashSMS (for businesses operating in India)

Gupshup

WATI

Final Thoughts

As customers demand faster and more personalized support, WhatsApp Business API providers play a central role in helping brands meet those expectations. They not only enable access to WhatsApp’s powerful messaging platform but also simplify the technical, operational, and compliance complexities.

If your business is looking to scale communication in a human and impactful way, partnering with the right WhatsApp API provider is no longer optional—it’s essential.

[industrystudyreport]

The Future is Now: Navigating the Data Monetization Market Evolution

Data Monetization Industry Overview

The global Data Monetization Market was valued at approximately USD 3.24 billion in 2023 and is projected to expand at a compound annual growth rate (CAGR) of 25.8% from 2024 to 2030. Data monetization involves the exchange of data between organizations to generate new revenue streams. This can be categorized into two main types: direct and indirect data monetization. Direct data monetization includes the sale of unprocessed data, the commercialization of a company's analyses, data bartering or trading, and the development of application programming interfaces (APIs). Conversely, indirect monetization focuses on leveraging data to achieve tangible benefits such as cost reduction, enhanced productivity and efficiency, the creation of novel products or services, and the identification of new customer segments or business opportunities. For example, with user consent, Uber shares its ride data with companies in the food and retail sectors, enabling these businesses to identify promising locations for new establishments.

Several factors are expected to propel market growth, including the increasing volume of enterprise data, a growing understanding of data monetization's potential, and the availability of external data sources. Additionally, the rising application of data processing and artificial intelligence, the increasing adoption of data-driven decision-making strategies, and advancements in big data analytics are anticipated to further stimulate growth throughout the forecast period.

Detailed Segmentation:

Method Insights

Embedded analytics segment is expected to witness a significant CAGR of 26.2% from 2024 to 2030. Embedded analytics can integrate existing applications with additional features such as data visualization, dashboard reporting, and analytics. This method accelerates time to market, creates customized embedded analytics solutions, and lowers TCO. Similarly, insight as a service combines external and internal data sources that use analytics to provide data insights. This method can support specific datasets and provide updated data to customers.

Organization Size Insights

The SMEs segment is expected to grow at the fastest CAGR of 29.4% from 2024 to 2030. The rising adoption of data monetization by SMEs to sustain in the competitive market is expected to power the segment growth over the forecast period. Furthermore, SMEs are expected to face resource shortages, resulting in business complexities and the increased need to optimize costs. In this situation, the rising presence of cloud-based data monetization is expected to play a pivotal role in ensuring reduced operations costs and increased efficiency, thereby positively affecting segment growth.

Vertical Insights

The telecommunications & IT segment is expected to witness a significant CAGR of 26.7% from 2024 to 2030. The increasing amount of data generated by these companies, the growing demand for data-driven decision-making, the increasing adoption of cloud computing, and the growing popularity of big data analytics. These factors make it easier for telecom and IT companies to store, analyze, and monetize their data.

Regional Insights

The data monetization market in the U.S. is growing significantly at a CAGR of 23.1% from 2024 to 2030. Growing government focus on encouraging digitization across industries to improve the transparency of processes is creating a positive outlook for the U.S. market. Furthermore, advancements in emerging technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) are expected to drive the market growth in the region. In addition, various IT and telecom companies are shifting their businesses to Software-as-a-Service (SaaS) and Infrastructure-as-a-Service (IaaS) platforms in the U.S. to initiate remote operation management. This has bolstered the demand for system infrastructure software in the IT and telecom sectors in the region.

Gather more insights about the market drivers, restraints, and growth of the Data Monetization Market

Key Companies & Market Share Insights

Some of the key companies include Accenture, Cisco, and IBM Corporation, and others are some of the leading participants in the global data monetization market.

Accenture provides technology solutions and professional services in areas such as network management and consulting. It operates through five business lines: Accenture Technology, Accenture Operations, Accenture Digital, Accenture Strategy, and Accenture Consulting. The company offers business process services, infrastructure services, security services, and cloud services under the Accenture Operations business line.

Cisco Systems, Inc. specializes in developing and distributing hardware and software solutions. The company serves industries such as mining, oil and gas, smart buildings, retail, education, financial services, government, transportation, utilities, healthcare, insurance, and entertainment. It offers solutions across a range of technologies, including cloud, data center, network infrastructure, mobility, IoT, security, AI, and analytics and automation.

Key Data Monetization Companies:

The following are the leading companies in the data monetization market. These companies collectively hold the largest market share and dictate industry trends.

Accenture

Adstra

Cisco Systems, Inc.

Comviva

Domo, Inc.

Thales (Gemalto NV)

Gulp Data

IBM Corporation

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

Recent Developments

In February 2024, Gulp Data announced a partnership with Snowflake that enables organizations to explore, share, and unlock value from their data, providing data valuation, data-backed loans, and data monetization services.

In December 2023, Thales completed the acquisition of Imperva. By providing the most comprehensive solutions for the broadest range of application, data security, and identity use cases, Thales and Imperva will help customers address cybersecurity challenges that are increasing rapidly in frequency, severity, and complexity.

[rcsmessage]

RCS Messaging & Data Privacy: How to Stay Compliant

Rich Communication Services (RCS Messaging) is revolutionizing business communication with interactive features, AI chatbots, and rich media. However, as businesses adopt RCS for customer engagement, marketing, and support, data privacy and compliance become critical concerns.

With strict data regulations like GDPR, CCPA, and other global privacy laws, businesses must ensure secure, transparent, and compliant RCS messaging practices.

In this guide, we’ll cover:

✅ How RCS messaging handles data

✅ Key privacy regulations businesses must follow

✅ Best practices for RCS messaging compliance

✅ How to secure customer data & avoid penalties

How RCS Messaging Handles Customer Data

RCS messaging offers enhanced features like rich media, analytics, and AI automation, requiring businesses to process and store more customer data than traditional SMS.

How RCS Uses Customer Data

🔹 User Identification – Verifies customers through phone numbers

🔹 Message Tracking – Read receipts, delivery status, & engagement analytics

🔹 Location Data – Enables location-based promotions & services

🔹 AI Chatbot Interactions – Collects inputs for automated responses

🔹 Payment & Transactional Data – Securely processes purchases

📌 Example: A bank using RCS for fraud alerts must ensure that customer authentication and financial data are encrypted and compliant with regulatory standards.

Key Data Privacy Regulations for RCS Messaging :

General Data Protection Regulation (GDPR) – Europe 🇪🇺

✔ Requires explicit customer consent before collecting data

✔ Customers have the right to access, correct, and delete their data

✔ Businesses must encrypt and secure stored data

📌 Example: A business sending personalized RCS marketing messages in the EU must obtain clear opt-in consent before collecting user data.

California Consumer Privacy Act (CCPA) – USA 🇺🇸

✔ Users can opt out of data collection at any time

✔ Businesses must disclose what data is collected & how it’s used

✔ Protects consumers from unauthorized data sharing

📌 Example: An online retailer using RCS for promotions in California must allow customers to opt out of tracking & marketing messages.

Personal Data Protection Bill (PDPB) – India 🇮🇳

✔ Requires user consent before processing personal data

✔ Sensitive personal data (financial, health info) needs extra security

✔ Businesses must store certain data within India’s borders

📌 Example: A healthcare provider using RCS to send lab results must encrypt patient data and store it securely.

Other Regulations

🔹 Australia’s Privacy Act – Similar to GDPR, with additional safeguards

🔹 Brazil’s LGPD – Requires customer data protection & breach notifications

🔹 Canada’s PIPEDA – Ensures data transparency & user control

💡 No matter where your business operates, staying compliant is essential to avoid legal risks, data breaches, and hefty fines.

How to Stay Compliant with RCS Messaging :

Obtain Clear & Explicit User Consent

✔ Use opt-in forms before sending RCS messages

✔ Allow users to choose what types of messages they receive

✔ Provide a simple opt-out option

📌 Example: A fashion retailer can ask for customer consent via SMS or website before sending RCS promotional offers.

Encrypt & Secure Customer Data

✔ Encrypt messages & customer data to prevent breaches

✔ Use secure APIs for RCS messaging integration

✔ Store sensitive data in compliance with local laws

📌 Example: A bank using RCS for transaction alerts should encrypt all financial data and ensure two-factor authentication (2FA).

Minimize Data Collection & Storage

✔ Only collect necessary customer information

✔ Delete old or unused data to reduce security risks

✔ Anonymize or mask customer details wherever possible

📌 Example: A telecom provider sending RCS bills should store only billing-related data, not unnecessary personal details.

Be Transparent About Data Usage

✔ Inform users how their data is collected, stored & used

✔ Provide a privacy policy link in RCS messages

✔ Allow users to request data access or deletion

📌 Example: An airline using RCS for booking updates should provide a privacy statement about how customer travel data is used.

Implement Strict Access Controls

✔ Limit who in your company can access customer data

✔ Use role-based access control (RBAC) for better security

✔ Regularly audit access logs to prevent misuse

📌 Example: A customer support team handling RCS queries should have limited access to customer financial data to prevent fraud.

Ensure Compliance with Third-Party Vendors

✔ If using an RCS messaging provider, verify their security policies

✔ Sign data protection agreements with third-party vendors

✔ Ensure end-to-end encryption in third-party messaging APIs

📌 Example: A retail brand using an RCS API provider should verify that customer data remains secure and isn’t shared with unauthorized entities.

Have a Data Breach Response Plan

✔ Monitor for unauthorized access & data leaks

✔ Notify customers immediately in case of a breach

✔ Work with authorities to investigate & mitigate damages

📌 Example: If a bank’s RCS system is compromised, they must notify affected customers and regulators immediately.

The Future of RCS & Data Privacy

🔹 With growing concerns about digital privacy, businesses must prioritize security & compliance while leveraging RCS messaging.

🔹 AI & automation will enhance real-time threat detection & compliance monitoring.

🔹 Regulations will continue evolving, requiring businesses to stay updated & adapt to new privacy laws.

📌 Final Thought: RCS messaging is the future of business communication, but compliance with data privacy laws is non-negotiable. Businesses that prioritize security, transparency, and customer trust will stay ahead of competitors while avoiding legal risks.

[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.

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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)

[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.

[cybersecurityict]

Automation Testing Market Size, Share, Analysis, Forecast, and Growth Trends to 2032: Software Quality Becomes a Strategic Priority

The Automation Testing Market was valued at USD 29.4 billion in 2023 and is expected to reach USD 118.6 billion by 2032, growing at a CAGR of 16.80% over 2024-2032.

The Automation Testing Market is experiencing a transformative shift as businesses increasingly prioritize faster time-to-market and enhanced software quality. Driven by the rising demand for digital transformation and agile methodologies, automation testing has become a critical element in software development lifecycles. Organizations are embracing automated solutions to minimize manual intervention, reduce errors, and ensure consistent performance across platforms.

Automation Testing Market continues to gain traction across sectors such as BFSI, healthcare, retail, telecom, and manufacturing. With the growing complexity of applications and integration of AI and machine learning into testing tools, the market is evolving rapidly. Enterprises are not just automating repetitive test cases but also leveraging intelligent automation to predict defects, improve test coverage, and enhance user experiences.

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Market Keyplayers:

Selenium - Selenium WebDriver

Tricentis - Tosca

IBM - Rational Functional Tester

Micro Focus - UFT (Unified Functional Testing)

SmartBear - TestComplete

Cucumber - CucumberStudio

Appium - Appium

Katalon - Katalon Studio

Ranorex - Ranorex Studio

Worksoft - Worksoft Certify

Sahi - Sahi Pro

LambdaTest - LambdaTest

Eggplant - Eggplant Functional

Perfecto - Perfecto Test Automation

TestComplete - TestComplete

Telerik - Test Studio

Sauce Labs - Sauce Labs Selenium Grid

Applitools - Visual AI Testing

Postman - Postman API Testing

Tricentis – qTest

Market Analysis

The automation testing landscape is driven by rapid technological advancements and the increasing need for efficient, error-free deployment processes. Businesses are adopting DevOps and continuous integration/continuous deployment (CI/CD) pipelines, fueling the demand for scalable and flexible testing solutions. Cloud-based testing platforms and open-source tools have further expanded accessibility, enabling SMEs to compete alongside large enterprises. The growth of mobile and web applications has also intensified the requirement for robust cross-platform testing frameworks.

Market Trends

Rise of AI and Machine Learning: Intelligent automation is empowering predictive analytics in testing, enhancing accuracy and speed.

CI/CD Integration: Seamless integration of automation tools into CI/CD pipelines accelerates development cycles.

Cloud-Based Testing: Scalable cloud infrastructure enables remote and parallel testing environments.

Codeless Automation Tools: These tools are lowering the technical barriers, making automation accessible to non-developers.

Increased Adoption in SMEs: Open-source frameworks and SaaS models are driving adoption across small and medium businesses.

Market Scope

Expanding Across Verticals: Automation testing is being adopted in healthcare, eCommerce, BFSI, telecom, and automotive industries.

Global Penetration: North America leads, but Asia-Pacific is emerging rapidly with digitization initiatives.

Beyond Functional Testing: Growth in performance, security, and usability testing automation.

Support for Emerging Tech: Evolving tools support IoT, blockchain, and AR/VR applications.

High ROI Potential: Reduced human error, faster testing cycles, and better product quality.

As the demand for seamless user experiences and reliable digital platforms grows, the market's potential continues to expand. From startups to multinational corporations, the focus on automation is no longer optional but essential.

Market Forecast

The future of the Automation Testing Market is poised for exponential growth, powered by innovation and demand for faster, higher-quality releases. As enterprises transition from legacy testing methods to modern, AI-driven frameworks, automation is expected to redefine how software is built, tested, and delivered. With continuous investments in R&D and vendor competition heating up, the market is set to witness breakthroughs in intelligent test orchestration, self-healing scripts, and hyper-automation capabilities.

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Conclusion

In a world where digital agility defines success, the Automation Testing Market stands as a pivotal force in accelerating innovation. For businesses aiming to stay competitive, embracing automation isn't just a trend—it's a strategic imperative. Whether you're a tech leader, a QA professional, or an enterprise innovator, now is the time to capitalize on the wave of transformation driving this dynamic market forward.

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)

[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.

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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.

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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.

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● 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)

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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.

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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.

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