Data Monetization Market: Current Analysis and Forecast (2025-2033)

Global Data Monetization Market Size & Forecast

The Global Data Monetization Market was valued at USD 2,900.30 million in 2024 and is expected to grow at a robust CAGR of approximately 26.10% during the forecast period (2025-2033F), driven by increasing data generation, technological advancements in AI and ML, and a regulatory push for data utilization.

Data Monetization Market Analysis

The emergence of Artificial Intelligence (AI) and Machine Learning (ML) is one of the prominent factors propelling the data monetization market. AI and ML tools help businesses derive actionable information out of huge piles of data and can generate new revenues. These technologies are also used to increase data analytics, bringing predictive insights, automation, and the creation of personalized products and services. In finance, AI is being utilized in analyzing transaction data, finding fraud, and enhancing customer experiences. Companies such as Mastercard have embraced AI as a measure towards boosting the level of security as well as enabling them to personalize financial services, thereby turning data into a source of revenue with enhanced fraud detection and customized offers. There are also transformational effects of AI and ML in the healthcare industry. Additionally, the presence of more superior technologies of AI and ML results in automated data analysis platforms and simplifies monetization by the business through efficient monetization via data. This technological transition is expected to drive the success of the market with the rise of AI and ML in data-driven innovation. For instance, in 2025, Mastercard partnered with Feedzai to integrate AI solutions into fraud detection systems, enabling banks to identify and stop scams more effectively. This collaboration empowers financial institutions globally to tackle next-generation scams driven by AI.

Global Data Monetization Market Trends

This section discusses the key market trends that are influencing the various segments of the global Data Monetization market, as found by our team of research experts.

Shift Toward Data-as-a-Service (DaaS) Model

The transition to the Data-as-a-Service (DaaS) model is one of the most significant trends in the market of data monetization because it enables enterprises to access the data when they need it without having to establish special data center infrastructure to manage this data. DaaS allows companies to use available, qualified external data to execute analytics and other business decisions and innovations. This model is particularly helpful to an organization that seeks to increase efficiency, expand operations, and lower the expenses incurred in data management. For instance, the partnership between the City of Grand Rapids, Michigan, and ADS Environmental Services started in July 2024. Within this joint venture, an end-to-end metering system is erected by ADS, which involves 36 flow meters, 10 rain gauges in its sewer and stormwater system available in the city. This setup used the DaaS model, and this implied that the city could focus on data analytics, and ADS undertook the operation and maintenance of the monitoring infrastructure. The project has also facilitated the efficient observance and examination of water systems with an aim of making management of the urban infrastructure effective. The partnerships are indicative of how the successful model of DaaS is showing its faculties in many sectors as organizations are moving towards enhancing their efficiency, innovativeness, and decision-making skills based on knowledge through information.

Data Monetization Industry Segmentation

This section provides an analysis of the key trends in each segment of the global data monetization market report, along with forecasts at the global, regional, and country levels for 2025-2033.

The Cloud Category Dominates the Data Monetization Market

Based on deployment, the market is segmented into on-premises and cloud. The cloud segment dominated the market in the historical year and is expected to continue dominating in the forecast period. One key factor that has accelerated this trend is the growing popularity of cloud-based platforms in diverse industries. Cloud computing provides businesses with scalable, flexible, and cost-effective solutions, and hence makes it easy to store, manage, and analyze data in large quantities. These benefits have rendered the cloud a favorable choice for organizations wishing to capitalize on their data. In addition, the capacity of the cloud to provide real-time analysis and processing of data further increases its worth when used in monetization techniques. Companies using the cloud will be able to quickly analyze reference behavior, consumer markets, trend analysis, and operational performance into actionable insights, and then directly translate these insights into revenue streams. Accordingly, the emergence of cloud artificial intelligence (AI) and machine learning (ML) technologies also significantly contributes to the enhancement of the data monetization process. The use of AI/ML tools in cloud platforms enables businesses to gain more valuable insights from their data to further increase their capability of building profitable data-driven solutions.

The Large Enterprises Segment Dominates the Data Monetization Market.

Based on organization size, the market is segmented into SMEs and Large Enterprises. The Large Enterprises segment dominated the market in the historical year and is expected to continue dominating in the forecast period. Large firms have become particularly interested in data monetization with their large resources, customer data, and capability of advanced analytics. These organizations now have the ability to capture massive troves of data, and in that capacity, they should be better placed to reap high value out of their data assets. Big enterprises have a huge infrastructure, technical skill sets, and dedicated workforces that enable them to optimize big data analytics and utilize tools of artificial intelligence (AI) to extract practical insights. Integrating both structured and unstructured data across various sources into the enterprise environment enables the generation of integrated data models to support revenue-generating ventures. Additionally, large companies can apply data-driven approaches that streamline business operations, enhance customer experiences, and explore new revenue streams, making them key stakeholders in the ecosystem of data monetization.

North America Dominated the Global Data Monetization Market

The North America Data Monetization market dominated the global market in 2024 and is forecasted to remain in this position in the forecast period. North America is experiencing rapid growth in the Data Monetization market, as reflected in the extensive use of digital technologies, the increased volume of data, and the growing need to utilize data in critical decision-making for enterprises. There is also a trend of businesses in the region utilizing AI, machine learning, and cloud-based technologies to process enormous amounts of data, unlocking whole new types of business and new types of revenue. An increased prevalence of Data-as-a-Service (DaaS) business models and the incorporation of decentralized data applications are making it easier to access valuable data. At the same time, organizations in North America are getting used to data privacy rules, including the California Consumer Privacy Act (CCPA) and the General Data Protection Regulation (GDPR), which are being used to set up safe practices of data sharing. Since the healthcare industry, fintech, and retail are all gradually switching to connected and data-driven patterns, data monetization opportunities are quite high in the region. For instance, in July 2024, Amazon Web Services (AWS) launched AWS clean rooms, which have been described as a secure data-sharing platform that would allow organizations to combine their data without allowing underlying raw data to be exposed. Helping to create such an environment of data-sharing partnerships, AWS enables companies to generate revenue from their insights, but they still have to maintain high data-privacy standards.

U.S. held a dominant Share of the North America Data Monetization Market in 2024

The U.S. Data Monetization market is currently experiencing an incredibly fast growth, driven by the extensive spread of data analytics, artificial intelligence, and cloud-based services across an extensive set of industries. Organizations are also shifting towards the idea of data as a resource offering the capacity to support decision-making, predictive analysis, or customer personalization in general. The sharing and access of the data is facilitated in parallel by the emergence of the Data-as-a-Service (DaaS) construct and integration of AI and machine-learning technologies. The California Consumer Privacy Act (CCPA) is one of the regulatory frameworks that also encourages entities to embrace sound and transparent data-sharing behaviors. Despite the rising rates of digitization in the field of finance, healthcare, and retail, data monetization has become one of the key growth factors of businesses and enterprise-level productivity.

Data Monetization Competitive Landscape

The global data monetization market is competitive, with several global and international market players. The key players are adopting different growth strategies to enhance their market presence, such as partnerships, agreements, collaborations, new product launches, geographical expansions, and mergers and acquisitions.

Top Data Monetization Companies

Some of the major players in the market are Microsoft, Oracle, Salesforce.com, inc., SAP SE, SAS Institute Inc., Accenture, IBM Corporation, Sisense Ltd., Revelate Data Monetization Corp, and Trūata Limited.

Recent Developments in the Data Monetization Market

• In May 2025, Salesforce agreed to acquire Informatica for about USD 8 billion; the deal pulls Informatica’s data‑management and API capabilities into Salesforce AI Cloud, letting customers package, govern, and sell data products inside Agentforce apps.

• In May 2025, Amazon Web Services pledged about US USD 8.2 billion to expand cloud and AI infrastructure in Maharashtra, India; core highlights include new data‑center capacity and local AI services that let customers store, process, and monetize data at scale.

• In May 2025, Datavant announced it would acquire real‑world‑evidence specialist Aetion; the combination links Datavant’s privacy‑preserving data‑connectivity with Aetion’s analytics so life‑science firms can license longitudinal patient datasets and insights.

• In February 2025, Telstra and Accenture launched a USD 700 million Data & AI joint venture; core highlights include wholesale 5G network‑insight APIs and analytics products that convert traffic and IoT telemetry into new revenue streams.

Global Data Monetization Market Report Coverage

Reasons to Buy the Data Monetization Market Report:

• The study includes market sizing and forecasting analysis confirmed by authenticated key industry experts.

• The report briefly reviews overall industry performance at a glance.

• The report covers an in-depth analysis of prominent industry peers, primarily focusing on key business financials, type portfolios, expansion strategies, and recent developments.

• Detailed examination of drivers, restraints, key trends, and opportunities prevailing in the industry.

• The study comprehensively covers the market across different segments.

• Deep dive regional-level analysis of the industry.

Customization Options:

The Global Data Monetization Market can further be customized as per the requirements or any other market segment. Besides this, UnivDatos understands that you may have your own business needs; hence, feel free to contact us to get a report that completely suits your requirements.