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How Much Will The Data Monetization in Telecom Market Be Worth By 2030?
The data monetization in telecom market has experienced substantial expansion in recent years. It is projected to grow from $6.31 billion in 2025 to $7.82 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 24.0%. Historically, this market’s growth can be attributed to the rise in telecom subscriber data, decreasing traditional voice revenues, the adoption of analytics platforms, the expansion of mobile networks, and the demand for customer experience optimization.
The size of the data monetization in telecom market is projected to experience substantial growth over the coming years. This market is forecast to reach $18.39 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 23.9%. Several factors are expected to drive this expansion during the forecast period, including the increase in 5G data traffic, the growing acceptance of AI analytics, the need for new revenue sources, the broadening of digital services, and a greater emphasis on decision-making guided by data. Key trends anticipated over this period encompass revenue models based on customer insights, predictive analytics applied to telecom data, the monetization of personalized services, real-time analysis of network data, and sophisticated usage-based pricing strategies.
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The Key Driver Behind The Data Monetization in Telecom Market’s 23.9% CAGR
The growing utilization of cloud-based solutions is anticipated to fuel the expansion of data monetization within the telecom market in the future. These solutions involve computing services and resources provided via the internet. Leveraging cloud-based solutions for data monetization in the telecom industry can lead to increased revenue, improved operational effectiveness, a better customer experience, optimized network functionality, strengthened security and adherence to regulations, and effective data processing and analysis. For example, Exploding Topics, a US-based online platform offering insights into emerging trends, reported in October 2023 that cloud infrastructure services generate $178 billion yearly. Additionally, Eurostat, a Europe-based intergovernmental organization, stated in December 2023 that 45.2% of EU businesses purchased cloud computing services for resources like software access, processing power, and storage capacity. Consequently, the rising uptake of cloud-based solutions is boosting the growth of data monetization in the telecom market.
Data Monetization in Telecom Market Classification: Main Segments And Detailed Subsegments
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 Shifts: What Leading Players Are Prioritizing
Leading companies in the data monetization in telecom market are developing new products, such as advanced cloud-based platforms, to gain a competitive edge. A cloud-based platform represents a computing infrastructure and associated services delivered over the internet by a cloud service provider. For example, in February 2023, Snowflake Computing Inc., a US-based cloud data warehousing company, introduced its telecom data cloud. This platform aims to assist telecom service providers in data monetization and optimizing operational efficiency. It eliminates data silos within organizations by bringing together Snowflake’s data platform, solutions from partners and Snowflake, and industry-specific datasets. This capability 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. The Telecom Data Cloud is anticipated to help telecom service providers maximize operational efficiency, enable enhanced client experiences more rapidly, and generate revenue from novel data offerings.
Data Monetization in Telecom Market Company Analysis: Major Industry Participants
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 Global Regional Breakdown: Key Regions Analyzed
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.
