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Data Monetization in Telecom Market Set To Climb From $7.82 Billion In 2026 To $18.39 Billion By 2030
The data monetization in telecom market size has experienced significant growth in recent years. Its expansion is anticipated to continue, rising from $6.31 billion in 2025 to $7.82 billion in 2026, at a compound annual growth rate (CAGR) of 24.0%. This historical growth can be attributed to several factors, including the increasing volume of telecom subscriber data, a decrease in traditional voice revenues, the widespread adoption of analytics platforms, the ongoing expansion of mobile networks, and a heightened demand for customer experience optimization.
The data monetization in telecom market size is anticipated to undergo significant expansion over the next few years. It is forecast to grow to $18.39 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 23.9%. This expansion during the forecast period can be attributed to the surge in 5G data traffic, the increasing integration of AI analytics, the pursuit of new revenue streams, the extension of digital services, and a greater emphasis on data-driven decision-making. Prominent trends expected in this period include revenue models influenced by customer insights, the utilization of predictive analytics for telecom data, the monetization of tailored services, real-time analysis of network data, and sophisticated usage-based pricing strategies.
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Data Monetization in Telecom Market Expansion Drivers: What’s Shaping Future Growth?
The expanding utilization of cloud-based solutions is anticipated to fuel the advancement of data monetization within the telecom market going forward. These solutions refer to computing services and resources that are provided over the internet. Monetizing data in the telecom industry through cloud-based solutions can stimulate revenue expansion, enhance operational effectiveness, improve customer satisfaction, optimize network performance, strengthen security and adherence, and facilitate efficient processing and analysis of data. For instance, in October 2023, according to Exploding Topics, a US-based online platform that provides insights into emerging and trending topics, $178 billion is made annually from cloud infrastructure services. Further, in December 2023, according to Eurostat, a Europe-based intergovernmental organization, cloud computing services for accessing software, processing power, storage capacity, and other resources were acquired by 45.2% of EU businesses. Therefore, the increasing adoption of cloud-based solutions is driving the growth of data monetization in the telecom market.
Data Monetization in Telecom Market Segment Analysis: What Are The Core Market Categories?
The data monetization in telecom market covered in this report is segmented –
1) By Component: Tools, Services
2) By Data Type: Customer Data, Product Data, Financial Data, Supplier Data
3) By Organization Type: Small And Medium-Sized Enterprises (SMEs), Large Enterprises
4) By Deployment Type: On-Premises, Cloud
Subsegments:
1) By Tools: Analytics Platforms, Data Management Tools, Customer Insight Tools, Revenue Management Systems, Data Visualization Tools
2) By Services: Consulting Services, Implementation Services, Support And Maintenance Services, Training And Education Services
Data Monetization in Telecom Market Strategic Trends: What Defines The Next Growth Phase?
Leading companies in the data monetization in telecom market are developing new products, such as advanced cloud-based platforms, to gain a competitive advantage. A cloud-based platform refers to a computing infrastructure and a set of services delivered over the internet by a cloud service provider. For instance, in February 2023, Snowflake Computing Inc., a US-based cloud-based data warehousing company, launched its telecom data cloud. This platform is designed to assist telecom service providers in data monetization and optimizing operational efficiency. The platform breaks down data silos within organizations by integrating Snowflake’s data platform, solutions from partners and Snowflake, and industry-specific datasets. This allows users to securely access data in near real-time, enhance it with machine learning (ML) models, share it, and analyze it for improved decision-making. It is anticipated that the Telecom Data Cloud will help telecom service providers maximize operational efficiency, facilitate superior customer experiences more quickly, and generate revenue from new data offerings.
Data Monetization in Telecom Market Top Companies Driving Competitive Growth
Major companies operating in the data monetization in telecom market are Intel Corporation; International Business Machines Corporation; Telefónica S.A.; Oracle Corporation; Verizon Communications Inc; Google LLC; Microsoft Corporation; Accenture plc; Cisco Systems Inc; SAP SE; Salesforce.com Inc.; Capgemini SE; Infosys Limited; Atos SE; SAS Institute Inc.; TIBCO Software Inc.; Virtusa Corporation; NetScout Systems Inc; Domo Inc; ThoughtSpot Inc; Mahindra Comviva; Sisense Inc; Redknee Inc.; 1010data Inc.; Lynx Software Technologies Inc; Paxata Inc.; SQLstream Inc; Adastra Corporation; Dawex Systems SAS; iConnectiva Communications Inc.
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Data Monetization in Telecom Market Geographic Landscape: Which Region Leads Industry Growth?
North America was the largest region in the data monetization in telecom market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the data monetization in telecom market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
