The telecom API platform market analysis report by Future Market Insights shows that global sales of the telecom API platform market in 2021 were held at US$ 4.1 billion. The projected market growth from 2023 to 2033 is expected to be 16.7%. The monetization and pricing model is expected to be the highest revenue-generating telecom API module, projected to record a CAGR of over 16.7% from 2023 to 2033.
Attribute | Details |
---|---|
Global Telecom API Platform Market Size (2023) | US$ 6,002.3 million |
Global Telecom API Platform Market Size (2033) | US$ 28,201.2 million |
Global Telecom API Platform Market CAGR (2023 to 2033) | 16.7% |
United States Telecom API Platform Market Size (2033) | US$ 5.9 billion |
United States Telecom API Platform Market CAGR (2023 to 2033) | 18.1% |
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As per the telecom API platform market research by Future Market Insights - a market research and competitive intelligence provider- historically, from 2018 to 2022, the market value of the telecom API platform market increased at 17.8% CAGR. By 2033, the market is expected to reach a valuation of US$ 24.2 billion, witnessing an absolute dollar opportunity of US$ 4.8 billion from 2023 to 2033.
Rapid technological advancements and increased cloud-based service penetration throughout the telecom industry are likely to boost the expansion of the Telecom API Platform Market.
Telecom API reduces costs by improving the system effectiveness of existing web-based services. These techniques and communication standards improve agility in mobile app development by allowing developers to concentrate on essential functionalities rather than designing them from scratch.
API is widely used in all fields involving mobile apps and services, including audio and video conversations, online mobile transactions, messaging applications, and tracking and tracing apps, among others. With the increasing usage of mobile service customers, the need for mobile-based technology solutions has increased dramatically in recent years, driving up the demand in the market for telecom APIs owing to the flexibility they provide.
For example, according to GSMA data, 5.2 billion people enrolled in mobile services by the end of 2021, with 5.7 billion expected by 2025, creating additional prospects for telecom API in mobile-based services.
The growing use of device integration, the Internet of Things (IoT), and wearable device technologies in the telecom industry is likely to boost market growth throughout the forecast period. Telecom APIs provide end-to-end IoT solutions by serving as a single point of contact between different nodes within a network, avoiding the need for several 3rd-party service providers for systems development.
The marketplace for telecom APIs is predicted to develop at a remarkable rate as IoT adoption grows. For example, according to the GSMA's The State of Mobile 2021 analysis, worldwide IoT connections are predicted to hit 25.2 billion by 2025, boosting market development during the forecast period.
The recent increase in telecom API start-ups in emerging regions such as Africa and Asia Pacific is likely to provide new potential areas for telecom API telecom operators throughout the projection year.
Industry titans such as Vodafone, Google, and communications service providers (CSPs), as well as technology supplier groups, have formed alliances with start-ups from these emerging markets to foster the growth of telecom start-ups by providing APIs for application development, thereby propelling the market growth.
Despite the tremendous benefits provided by telecom API, end-user data security issues are impeding industry expansion. According to a recently published data security report, API breaches may become the most common attack leading to data breaches for enterprise and advertising online services where malicious parties may gain access to end-user information, for example, the name, contact information, and IMEI of the system upon which application is running.
The growing popularity of machine-to-machine (M2M) devices is expected to drive the telecommunication application programming interface (API) industry during the forecast year. APIs are essential for M2M communication since they provide the message format that may be used to control devices.
Furthermore, rising mobile commerce usage is likely to boost the market for telecom APIs in services such as location API and payment API. Various mobile payment gateways, such as Zooz, Stripe, and Amazon Pay, PayPal, among others, allow users to buy things using cards and utilize the payment API to conduct the transactions.
During the projected period, North America held a leading share in the global telecom API platform market with a size of over US$ 6 billion. This expansion may be ascribed to the presence of various key telecommunications API market players, including Google LLC, Broadcom Inc., Oracle Corporation, and AT&T, Inc., among others. Furthermore, the quick adoption of technologies such as 4G and advancements in 5G technology are key factors driving regional market development.
Communication services like video and voice conversations, as well as speech and video integration services, are offered professionally with the incorporation of 4G/5G technologies and APIs.
The Asia Pacific region is also expected to be among the most appealing due to the region's growth in mobile users and the increasing prevalence of 5G technology in the upcoming years. For example, the China Mobile open application platform sells items and solutions to mobile users via online and physical sales channels.
With the advent of 5G and competitive pressure from digital natives, China Mobile is thriving with an API-based environment to generate new income streams. Japan's telecommunications company has released its API and is evolving Japanese application developers.
Twilio, an American leading cloud service as a network provider, has teamed with KDDI Web Communications, Japan's second-leading telecoms business. Using Twilio's capabilities, app developers in the nation may now construct services and games.
The United States is expected to account for the leading market share of US$ 5.9 billion by the end of 2033 with an expected CAGR of 18.1% by the end of 2033.
Companies in the region have been spotted implementing various technical breakthroughs such as 5G networks, virtual realities, better quality video, completely driverless cars, and massively linked IoT networks, as well as providing creative solutions and services to the telecom API industry.
For example, in June 2019, AT&T, an American multinational corporation holding telecom firm and one of the biggest mobile phone service providers in the United States, and Colt Technology Services, a United Kingdom-based multinational telecom company, successfully applied MEF's LSO (Lifecycle Service Orchestration) Sonata APIs, allowing customers to order services in various carriers virtually.
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The T1 Player segment is forecasted to register a CAGR of over 15.4% from 2023 to 2033. The existence of multiple T1 players in advanced nations has contributed to the development of the API platform service companies across key countries, as these corporations have adequate infrastructure to utilize APIs while also investing significantly in this objective.
Due to the fast-increasing demands and high-end infrastructure from T1 market players in this region, European nations play a significant role in the global market for telecom API platforms.
The monetization and pricing model segment is forecasted to capture a CAGR of 16.3% during the forecast period. The primary elements driving market expansion are API customer satisfaction and the commercialization of telecom operator services. API monetization and pricing methods are classified as free: the programmer pays, the programmer gets paid, and indirect.
Developer payments are further categorized as freemium, tiered, points-based, pay as you get further, and transaction fee. Amazon Web Services and IBM Corporation are the two vendors who provide a pay-as-you-go model. Compete and Dropbox are two companies that provide freemium services.
Vertical response and continual contact are two vendors who provide tiered services. The revenue split, affiliate, and referral sub-models are parts of the creator-get-paid model.
Content syndication, content acquisition, internal consumer, B2B partner, B2B customer, and company development are all examples of indirect categories. Increased smartphone usage, surged demand for IoT, and expanding use of web-based APIs in organizations worldwide are key drivers assisting the development of API monetization and pricing platforms.
The key players in the telecom API platform market are focused on manufacturing technology advances to increase efficiency. The key players operating in the telecom API Platform Market include Google Inc., Huawei Technologies Co. Ltd., Alcatel Lucent, Oracle Corporation, Infobip Ltd, Hewlett Packard Company, AT&T Inc., Adobe Inc., Citrix Systems, Inc., IBM Corporation, Microsoft Corporation, OpenText Corporation, BICS Group, and Twilio Inc.
Some Key Recent Developments in the Telecom API Platform Market:
Similarly, recent developments related to companies in the market have been tracked by the team at Future Market Insights, which are available in the full report.
The market is estimated to secure a valuation of US$ 6,002.3 million in 2023.
The market is estimated to reach US$ 28,201.2 million by 2033.
The T1 player holds high revenue potential.
The United States, Japan, and China dominate the global market.
The market is forecast to register a CAGR of 16.7% through 2033.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Telecom Operator 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Telecom Operator, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Telecom Operator, 2023 to 2033 5.3.1. T1 Player 5.3.2. T2 Player 5.3.3. T3 Player 5.4. Y-o-Y Growth Trend Analysis By Telecom Operator, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Telecom Operator, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Module 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Module, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Module, 2023 to 2033 6.3.1. Set-up 6.3.2. Monetization and Pricing Model 6.3.2.1. Operator Share 6.3.2.2. Vendor Share 6.4. Y-o-Y Growth Trend Analysis By Module, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Module, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 7.1. Introduction 7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 7.3.1. North America 7.3.2. Latin America 7.3.3. Western Europe 7.3.4. Eastern Europe 7.3.5. South Asia and Pacific 7.3.6. East Asia 7.3.7. Middle East and Africa 7.4. Market Attractiveness Analysis By Region 8. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 8.2.1. By Country 8.2.1.1. The USA 8.2.1.2. Canada 8.2.2. By Telecom Operator 8.2.3. By Module 8.3. Market Attractiveness Analysis 8.3.1. By Country 8.3.2. By Telecom Operator 8.3.3. By Module 8.4. Key Takeaways 9. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 9.2.1. By Country 9.2.1.1. Brazil 9.2.1.2. Mexico 9.2.1.3. Rest of Latin America 9.2.2. By Telecom Operator 9.2.3. By Module 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Telecom Operator 9.3.3. By Module 9.4. Key Takeaways 10. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. Germany 10.2.1.2. United Kingdom 10.2.1.3. France 10.2.1.4. Spain 10.2.1.5. Italy 10.2.1.6. Rest of Western Europe 10.2.2. By Telecom Operator 10.2.3. By Module 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Telecom Operator 10.3.3. By Module 10.4. Key Takeaways 11. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Poland 11.2.1.2. Russia 11.2.1.3. Czech Republic 11.2.1.4. Romania 11.2.1.5. Rest of Eastern Europe 11.2.2. By Telecom Operator 11.2.3. By Module 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Telecom Operator 11.3.3. By Module 11.4. Key Takeaways 12. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. India 12.2.1.2. Bangladesh 12.2.1.3. Australia 12.2.1.4. New Zealand 12.2.1.5. Rest of South Asia and Pacific 12.2.2. By Telecom Operator 12.2.3. By Module 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Telecom Operator 12.3.3. By Module 12.4. Key Takeaways 13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. China 13.2.1.2. Japan 13.2.1.3. South Korea 13.2.2. By Telecom Operator 13.2.3. By Module 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Telecom Operator 13.3.3. By Module 13.4. Key Takeaways 14. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. GCC Countries 14.2.1.2. South Africa 14.2.1.3. Israel 14.2.1.4. Rest of MEA 14.2.2. By Telecom Operator 14.2.3. By Module 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Telecom Operator 14.3.3. By Module 14.4. Key Takeaways 15. Key Countries Market Analysis 15.1. USA 15.1.1. Pricing Analysis 15.1.2. Market Share Analysis, 2022 15.1.2.1. By Telecom Operator 15.1.2.2. By Module 15.2. Canada 15.2.1. Pricing Analysis 15.2.2. Market Share Analysis, 2022 15.2.2.1. By Telecom Operator 15.2.2.2. By Module 15.3. Brazil 15.3.1. Pricing Analysis 15.3.2. Market Share Analysis, 2022 15.3.2.1. By Telecom Operator 15.3.2.2. By Module 15.4. Mexico 15.4.1. Pricing Analysis 15.4.2. Market Share Analysis, 2022 15.4.2.1. By Telecom Operator 15.4.2.2. By Module 15.5. Germany 15.5.1. Pricing Analysis 15.5.2. Market Share Analysis, 2022 15.5.2.1. By Telecom Operator 15.5.2.2. By Module 15.6. United Kingdom 15.6.1. Pricing Analysis 15.6.2. Market Share Analysis, 2022 15.6.2.1. By Telecom Operator 15.6.2.2. By Module 15.7. France 15.7.1. Pricing Analysis 15.7.2. Market Share Analysis, 2022 15.7.2.1. By Telecom Operator 15.7.2.2. By Module 15.8. Spain 15.8.1. Pricing Analysis 15.8.2. Market Share Analysis, 2022 15.8.2.1. By Telecom Operator 15.8.2.2. By Module 15.9. Italy 15.9.1. Pricing Analysis 15.9.2. Market Share Analysis, 2022 15.9.2.1. By Telecom Operator 15.9.2.2. By Module 15.10. Poland 15.10.1. Pricing Analysis 15.10.2. Market Share Analysis, 2022 15.10.2.1. By Telecom Operator 15.10.2.2. By Module 15.11. Russia 15.11.1. Pricing Analysis 15.11.2. Market Share Analysis, 2022 15.11.2.1. By Telecom Operator 15.11.2.2. By Module 15.12. Czech Republic 15.12.1. Pricing Analysis 15.12.2. Market Share Analysis, 2022 15.12.2.1. By Telecom Operator 15.12.2.2. By Module 15.13. Romania 15.13.1. Pricing Analysis 15.13.2. Market Share Analysis, 2022 15.13.2.1. By Telecom Operator 15.13.2.2. By Module 15.14. India 15.14.1. Pricing Analysis 15.14.2. Market Share Analysis, 2022 15.14.2.1. By Telecom Operator 15.14.2.2. By Module 15.15. Bangladesh 15.15.1. Pricing Analysis 15.15.2. Market Share Analysis, 2022 15.15.2.1. By Telecom Operator 15.15.2.2. By Module 15.16. Australia 15.16.1. Pricing Analysis 15.16.2. Market Share Analysis, 2022 15.16.2.1. By Telecom Operator 15.16.2.2. By Module 15.17. New Zealand 15.17.1. Pricing Analysis 15.17.2. Market Share Analysis, 2022 15.17.2.1. By Telecom Operator 15.17.2.2. By Module 15.18. China 15.18.1. Pricing Analysis 15.18.2. Market Share Analysis, 2022 15.18.2.1. By Telecom Operator 15.18.2.2. By Module 15.19. Japan 15.19.1. Pricing Analysis 15.19.2. Market Share Analysis, 2022 15.19.2.1. By Telecom Operator 15.19.2.2. By Module 15.20. South Korea 15.20.1. Pricing Analysis 15.20.2. Market Share Analysis, 2022 15.20.2.1. By Telecom Operator 15.20.2.2. By Module 15.21. GCC Countries 15.21.1. Pricing Analysis 15.21.2. Market Share Analysis, 2022 15.21.2.1. By Telecom Operator 15.21.2.2. By Module 15.22. South Africa 15.22.1. Pricing Analysis 15.22.2. Market Share Analysis, 2022 15.22.2.1. By Telecom Operator 15.22.2.2. By Module 15.23. Israel 15.23.1. Pricing Analysis 15.23.2. Market Share Analysis, 2022 15.23.2.1. By Telecom Operator 15.23.2.2. By Module 16. Market Structure Analysis 16.1. Competition Dashboard 16.2. Competition Benchmarking 16.3. Market Share Analysis of Top Players 16.3.1. By Regional 16.3.2. By Telecom Operator 16.3.3. By Module 17. Competition Analysis 17.1. Competition Deep Dive 17.1.1. Google Inc. 17.1.1.1. Overview 17.1.1.2. Product Portfolio 17.1.1.3. Profitability by Market Segments 17.1.1.4. Sales Footprint 17.1.1.5. Strategy Overview 17.1.1.5.1. Marketing Strategy 17.1.2. Huawei Technologies Co. Ltd. 17.1.2.1. Overview 17.1.2.2. Product Portfolio 17.1.2.3. Profitability by Market Segments 17.1.2.4. Sales Footprint 17.1.2.5. Strategy Overview 17.1.2.5.1. Marketing Strategy 17.1.3. Microsoft Corporatio 17.1.3.1. Overview 17.1.3.2. Product Portfolio 17.1.3.3. Profitability by Market Segments 17.1.3.4. Sales Footprint 17.1.3.5. Strategy Overview 17.1.3.5.1. Marketing Strategy 17.1.4. Oracle Corporation 17.1.4.1. Overview 17.1.4.2. Product Portfolio 17.1.4.3. Profitability by Market Segments 17.1.4.4. Sales Footprint 17.1.4.5. Strategy Overview 17.1.4.5.1. Marketing Strategy 17.1.5. Infobip Ltd 17.1.5.1. Overview 17.1.5.2. Product Portfolio 17.1.5.3. Profitability by Market Segments 17.1.5.4. Sales Footprint 17.1.5.5. Strategy Overview 17.1.5.5.1. Marketing Strategy 17.1.6. Hewlett Packard Company 17.1.6.1. Overview 17.1.6.2. Product Portfolio 17.1.6.3. Profitability by Market Segments 17.1.6.4. Sales Footprint 17.1.6.5. Strategy Overview 17.1.6.5.1. Marketing Strategy 17.1.7. AT&T, Inc. 17.1.7.1. Overview 17.1.7.2. Product Portfolio 17.1.7.3. Profitability by Market Segments 17.1.7.4. Sales Footprint 17.1.7.5. Strategy Overview 17.1.7.5.1. Marketing Strategy 17.1.8. Adobe, Inc. 17.1.8.1. Overview 17.1.8.2. Product Portfolio 17.1.8.3. Profitability by Market Segments 17.1.8.4. Sales Footprint 17.1.8.5. Strategy Overview 17.1.8.5.1. Marketing Strategy 17.1.9. Citrix Systems, Inc 17.1.9.1. Overview 17.1.9.2. Product Portfolio 17.1.9.3. Profitability by Market Segments 17.1.9.4. Sales Footprint 17.1.9.5. Strategy Overview 17.1.9.5.1. Marketing Strategy 17.1.10. IBM Corporation 17.1.10.1. Overview 17.1.10.2. Product Portfolio 17.1.10.3. Profitability by Market Segments 17.1.10.4. Sales Footprint 17.1.10.5. Strategy Overview 17.1.10.5.1. Marketing Strategy 18. Assumptions & Acronyms Used 19. Research Methodology
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