Healthcare Data Monetization Market Outlook 2025-2030 | Innovations Fueling Life Sciences Research

Healthcare Data Monetization Market Overview:

The global healthcare data monetization market is projected to expand at a CAGR of around 15% over the forecast period. Growth is being fueled by rising demand for real-world evidence (RWE), widespread adoption of electronic health records (EHRs) and digital health ecosystems, the rapid increase in large and complex healthcare datasets, and the growing emphasis on personalized medicine supported by artificial intelligence and predictive analytics. Additionally, continued investments in telehealth platforms and remote-monitoring startups are strengthening market momentum. Despite this, concerns surrounding data privacy, as well as persistent challenges related to interoperability and a lack of standardized data formats, continue to impede broader market advancement.

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Healthcare data monetization involves leveraging health information to enhance operational and clinical efficiencies or commercializing anonymized datasets to external stakeholders for economic gain. As healthcare systems become increasingly digital, they generate vast amounts of information from varied sources—including telemedicine platforms, genomic databases, EHRs, wearables, imaging technologies, and billing systems. By aggregating, anonymizing, and repurposing this information, organizations can unlock insights that drive innovation, improve outcomes, and create new revenue pathways across the healthcare value chain.

Rising importance of real-world evidence

One of the primary forces accelerating the healthcare data monetization market is the escalating reliance on real-world evidence. Derived from everyday clinical practice, insurance claims, digital health applications, wearables, and EHRs, RWE has reshaped how pharmaceutical and biotech companies approach drug discovery, regulatory decision-making, and post-market monitoring. The ongoing transition from volume-based to value-based care aligns seamlessly with RWE, as both prioritize improved outcomes and cost efficiency.

With chronic diseases such as diabetes and cancer on the rise, RWE offers critical insights for long-term patient management. The growing shift toward personalized therapeutics also demands expansive datasets to tailor individualized treatments. This surge in data needs has prompted pharmaceutical, biotech, and med-tech firms to commercialize anonymized datasets for use in diagnostics, AI-driven decision support, and clinical research.

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AI-driven insights shaping the next growth phase

The market is increasingly embracing AI-enabled platforms that deliver real-time insights instead of traditional, fragmented data outputs. These advanced systems employ predictive analytics for precise cohort analyses, comprehensive patient summaries, and analytic modeling. Delivered through cloud infrastructures and API-based solutions, these tools enable life sciences companies, payers, and researchers to securely access actionable intelligence on demand. Healthcare organizations that commercialize such insights are not only unlocking new revenue streams but also strengthening their strategic position in a rapidly evolving digital health landscape.

Recent market developments

The latest advancements in healthcare data monetization emphasize secure data-sharing models, federated networks, and AI-enhanced analytics that support deeper insights while prioritizing patient privacy. Notable developments include:

• December 2024: Atropos Health introduced AI model-training capabilities on the Atropos Evidence Network—one of the largest federated healthcare data networks globally, encompassing more than 300 million patient records. This enables pharmaceutical and life sciences companies to develop, evaluate, and deploy AI models to identify underserved or overlooked patient groups.
• October 2024: datma, Inc. launched datma.FED, a two-sided marketplace designed to improve healthcare data accessibility and monetization by connecting data custodians, such as hospitals and reference laboratories, with pharmaceutical companies and research organizations.

Competitive landscape

The healthcare data monetization industry features a mix of established technology leaders and emerging innovators, including Oracle Corporation, SAS Institute Inc., Salesforce, Particle Health, SAP SE, Microsoft, Komodo Health, Snowflake, ThoughtSpot, and Tibco Software, among others. Key competitive strategies include developing next-generation analytics platforms, executing mergers and acquisitions, and expanding R&D investment to support growing demand for data-driven healthcare intelligence.

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Global Healthcare Data Monetization Market Segmentation

This report by Medi-Tech Insights provides the size of the global healthcare data monetization market at the regional- and country-level from 2023 to 2030. The report further segments the market based on type, deployment type, and end-user.

Market Size & Forecast (2023-2030), By Type, USD Million

• Direct Data Monetization
• Indirect Data Monetization

Market Size & Forecast (2023-2030), By Deployment Type, USD Million

• On-Premises
• Cloud-based

Market Size & Forecast (2023-2030), By End-user, USD Million

• Pharma & Biotech Companies
• Healthcare Providers
• Healthcare Payers
• Med-tech Companies
• Others

Market Size & Forecast (2023-2030), By Region, USD Million

• North America
  • US
  • Canada
• Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Rest of Europe
• Asia Pacific
  • China
  • India
  • Japan
  • Rest of Asia Pacific
• Latin America
• Middle East & Africa

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About Medi-Tech Insights ;

Medi-Tech Insights is a healthcare-focused business research & insights firm. Our clients include Fortune 500 companies, blue-chip investors & hyper-growth start-ups. We have completed 100+ projects in Digital Health, Healthcare IT, Medical Technology, Medical Devices & Pharma Services in the areas of market assessments, due diligence, competitive intelligence, market sizing and forecasting, pricing analysis & go-to-market strategy. Our methodology includes rigorous secondary research combined with deep-dive interviews with industry-leading CXO, VPs, and key demand/supply side decision-makers.

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