The data monetization in telecom market size is expected to see exponential growth in the next few years. It will grow to $18.39 billion in 2030 at a compound annual growth rate (CAGR) of 23.9%. The growth in the forecast period can be attributed to 5g data traffic growth, rising adoption of AI analytics, demand for new revenue streams, expansion of digital services, increasing focus on data driven decision making. Major trends in the forecast period include customer insight driven revenue models, predictive analytics for telecom data, personalized service monetization, real time network data analytics, advanced usage based pricing.
The growing adoption of cloud-based solutions is expected to drive growth in the data monetization in telecom market in the coming years. Cloud-based solutions provide computing services and resources over the internet. In the telecom sector, these solutions enable data monetization by driving revenue growth, enhancing operational efficiency, improving customer experience, optimizing network performance, strengthening security and compliance, and facilitating efficient data processing and analysis. For example, in October 2023, Exploding Topics, a US-based online platform tracking emerging trends, reported that $178 billion is generated annually from cloud infrastructure services. Additionally, in December 2023, Eurostat, a Europe-based intergovernmental organization, noted that 45.2% of EU businesses had acquired cloud computing services for software access, processing power, storage, and other resources. Therefore, rising cloud adoption is fueling growth in data monetization in telecom.
Key companies in the data monetization in telecom market are developing advanced cloud-based platforms to gain a competitive advantage. A cloud-based platform provides computing infrastructure and services over the internet from a cloud service provider. For instance, in February 2023, Snowflake Computing Inc., a US-based cloud data warehousing company, launched the Telecom Data Cloud. This platform supports data monetization and operational efficiency for telecom providers by breaking down data silos, integrating Snowflake’s platform, partner- and Snowflake-delivered solutions, and industry-specific datasets. It enables secure near real-time data access, enrichment with machine learning models, sharing, and analysis for improved decision-making. The Telecom Data Cloud is expected to help providers maximize operational efficiency, enhance customer experiences, and generate revenue from new data offerings.
In January 2023, Skyvera LLC, a US-based telecom software company, acquired Sterlite Technologies Limited for an undisclosed amount. Through this acquisition, Skyvera aims to strengthen its technological capabilities and expand market presence by leveraging Sterlite Technologies’ advanced solutions and expertise. Sterlite Technologies Limited is an India-based publicly listed company specializing in data monetization in telecom.
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.
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. The countries covered in the data monetization in telecom market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have impacted the data monetization in telecom market by increasing costs associated with imported analytics platforms, data infrastructure, and network management tools. Telecom operators in asia pacific and europe have faced higher capital and operational expenditures due to global technology dependencies. These costs have influenced the pace of advanced monetization initiatives. However, tariffs have also promoted local analytics vendors and cloud based monetization platforms. This shift is supporting regional innovation and long term cost optimization.
The data monetization in telecom market research report is one of a series of new reports that provides data monetization in telecom market statistics, including data monetization in telecom industry global market size, regional shares, competitors with a data monetization in telecom market share, detailed data monetization in telecom market segments, market trends and opportunities, and any further data you may need to thrive in the data monetization in telecom industry. This data monetization in telecom market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Data monetization in telecom involves harnessing insights from telecommunications data to generate economic benefits, aiding service providers in enhancing performance, sales, and customer experiences.
In the telecom market, data monetization primarily comprises two components such as tools and services. Tools encompass a range of analytical tools such as Business Intelligence (BI) software and data integration tools. These tools are instrumental in processing substantial volumes of data, transforming it into valuable and actionable insights. Data types involved in this context include customer data, product data, financial data, and supplier data. Organizations of varying sizes, including small and medium-sized enterprises (SMEs) and large enterprises, utilize these data monetization strategies. Furthermore, deployment options include both on-premises and cloud-based setups, offering flexibility in implementation for telecom businesses seeking to capitalize on their data assets.
The data monetization in the telecom market consists of revenues earned by entities by providing analytics-enabled platforms as a service and data as a service for telecom. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Data Monetization in Telecom Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses data monetization in telecom market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for data monetization in telecom? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The data monetization in telecom market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Tools; Services2) 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 Tools2) By Services: Consulting Services; Implementation Services; Support And Maintenance Services; Training And Education Services
Companies Mentioned: 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.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Data Monetization in Telecom market report include:- 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.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 7.82 Billion |
| Forecasted Market Value ( USD | $ 18.39 Billion |
| Compound Annual Growth Rate | 23.9% |
| Regions Covered | Global |
| No. of Companies Mentioned | 31 |


