Healthcare Data Monetization Market by Type (Direct, Indirect), Deployment (On-premise, Cloud), End User (Pharmaceutical & Biotechnology Companies, Healthcare Payers, Healthcare Providers, Medical Technology Companies) & Region- Global Forecast to 2031

Market Size
$0.7B
MARKET SIZE, 2026
Projected Market Size
$1.3B
MARKET SIZE, 2031
CAGR
14.5%
CAGR (2026-2031)
Forecast Period
2026-2031
FORECAST PERIOD

HEALTHCARE DATA MONETIZATION MARKET SIZE, SHARE & GROWTH SNAPSHOT

healthcare-data-monetization-market Overview

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The global healthcare data monetization market is projected to grow from USD 0.7 billion in 2026 to USD 1.3 billion by 2031, at a CAGR of 14.5% during the forecast period. The market was valued at USD 0.6 billion in 2025. This growth is driven by the increasing commercial value of real-time patient data, growing emphasis on data-driven decision-making in life sciences, and the emergence of data-as-a-service (DaaS) business models across healthcare. Rising participation of consumer health tech companies, such as digital therapeutics and remote monitoring solution providers, is accelerating demand for secure and scalable data monetization frameworks. Additionally, the expanding use of cloud-native interoperability platforms, alongside the rising need for risk stratification and outcome benchmarking in payer-provider models, is positively impacting the market.

KEY TAKEAWAYS

  • MARKET SNAPSHOT:
    Base Year Market Size (2025): USD 0.6 Billion
    Current Market Size (2026): USD 0.7 Billion
    Forecast Market Size (2031): USD 1.3 Billion
    CAGR (2026–2031): 14.5%
  • SEGMENT LEADERSHIP:
    Type Leader: Direct data monetization accounted for the largest market share in 2025, driven by the growing demand among healthcare organizations to generate immediate revenue through the sale or licensing of data assets.
    Deployment Leader: Cloud held the largest as well as fastest share during the forecast period, driven by its ability to offer unmatched scalability, flexibility, and cost-effectiveness.
    Data Type Leader: Clinical data accounted for the largest share of the healthcare data monetization market in 2025. The increasing adoption of electronic health records (EHRs), along with the growing use of AI and analytics to extract actionable insights, is driving the segment's growth.
    End User Leader: Pharmaceutical and biotechnology companies held the largest share as well as fastest growth in 2025, driven by their growing demand for real-world data (RWD) and advanced analytics to accelerate drug discovery, optimize clinical trials, and support regulatory approvals.
  • MARKET OUTLOOK & COMPETITIVE LANDSCAPE:
    North America was the largest market in 2025 and is home to several prominent data monetization companies. It is also supported by increasing healthcare digitalization, widespread EHR adoption, and rising demand for data-driven, cost-effective care.
    Major players, including Oracle, Microsoft, Google, Salesforce, Datavant, Komodo Health, and Snowflake, are driving growth through partnerships, integrations, and investments. By enhancing data exchange, interoperability, and analytics capabilities, these companies are enabling secure, scalable, and AI-driven monetization opportunities across healthcare and life sciences.
    Companies such as Verato, Particle health Inc., and H1, among others, have distinguished themselves among startups and SMEs by securing strong footholds in specialized niche areas, underscoring their potential as emerging market leaders.

The healthcare data monetization market is witnessing steady growth, driven by the the surge in EHR adoption, proliferation of connected devices and wearables, and rising healthcare costs. Large, complex datasets are increasingly being leveraged by life sciences, payers, and tech firms to improve clinical trials, risk stratification, and personalized care. Strategic collaborations such as Validic with Oracle Health, Clario with ActiGraph, and Clarify Health with Datavant are expanding access to real-world and external data sources, enhancing the value of healthcare data assets. Advances in AI, privacy-preserving technologies, and interoperability are further enabling secure data exchange and analytics, transforming fragmented health information into valuable, monetizable insights while driving efficiency and innovation across the healthcare ecosystem.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

The impact on consumers' business emerges from customer trends or disruptions. Hotbets are clients of healthcare data monetization platform providers, and target applications are clients of healthcare data monetization platform providers. Shifts, which are changing trends or disruptions, will impact the revenues of end users. The revenue impact on end users will affect the revenue of hotbets, which will further affect the revenues of aerospace materials manufacturers.

healthcare-data-monetization-market Disruptions

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers
Impact
Level
  • Rising demand for real-world evidence (RWE) and value-based care models
  • Rising demand for personalized medicine and research
RESTRAINTS
Impact
Level
  • Data privacy and compliance concerns
  • Lack of standardization and interoperability
OPPORTUNITIES
Impact
Level
  • AI/ML-driven analytics and secure data exchange platforms
  • Emergence of personalized medicine and genomics
CHALLENGES
Impact
Level
  • Fragmented and siloed healthcare data systems
  • Security concerns

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Rising Demand For Real-World Evidence (RWE) and Value-Based Care Models

The growing global shift from volume-based to value-based healthcare is a major driver of healthcare data monetization. Payers and providers increasingly need real-world evidence (RWE) to support outcome-based contracts, optimize clinical pathways, and demonstrate cost-effectiveness of therapies. Pharmaceutical and biotech companies are similarly relying on real-world data (RWD) to complement clinical trials, assess long-term safety and effectiveness, and support regulatory submissions. This need is fueling monetization of various datasets including clinical, claims, genomic, and behaviora by data aggregators and analytics firms. For instance, IQVIA has scaled its global real-world evidence solutions, integrating EHR and claims data from over 100 million patients to deliver insights into treatment patterns and comparative effectiveness. Tempus, a US-based precision medicine company, monetizes its large repository of de-identified clinical-genomic data by offering AI-driven solutions to biopharma clients for drug discovery and clinical trial optimization.

Restraint: Data Privacy and Compliance Concerns

Despite the rising value of health data, privacy and regulatory compliance remain major barriers to monetization. Laws such as HIPAA (US), GDPR (EU), and emerging data sovereignty regulations (e.g., India’s Digital Personal Data Protection Act, 2023) strictly govern how personal health information can be used, shared, and monetized. These rules not only limit cross-border data flows but also demand explicit patient consent and impose heavy fines for non-compliance, discouraging aggressive monetization models. In 2024, the European Data Protection Board (EDPB) issued additional restrictions on the secondary use of patient data for commercial purposes, affecting many RWE vendors operating in the EU. As a result, tech giants like Apple and Microsoft have pivoted to on-device AI and federated learning to minimize centralized data storage and better align with evolving privacy standards. In India, under the Ayushman Bharat Digital Mission (ABDM), the National Health Authority (NHA) requires that health data be stored within national borders, limiting how global companies access and monetize this data. These growing regulatory hurdles are compelling organizations to develop more privacy-preserving technologies to enable ethical and compliant monetization.

Opportunity: AI/ML-Driven Analytics And Secure Data Exchange Platforms

AI-powered analytics combined with advanced technologies such as federated learning, blockchain, and multimodal data integration are unlocking new ways to monetize real-world data (RWD) without breaching patient privacy. These secure platforms are enabling pharmaceutical companies, research institutions, and health tech firms to generate novel insights across clinical development, diagnostics, and personalized medicine.

Challenge: Fragmented and Siloed Healthcare Data Systems

A core operational barrier to effective healthcare data monetization lies in the fragmentation and lack of interoperability across the healthcare ecosystem. Patient data is often dispersed across disparate systems—including electronic health records (EHRs), payer claims databases, diagnostic labs, pharmacy records, and research registries—many of which rely on incompatible formats or outdated technologies. This fragmentation impedes the construction of a comprehensive, longitudinal view of patient journeys, which is critical for extracting meaningful insights and generating value from data.

HEALTHCARE DATA MONETIZATION MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY USE CASE DESCRIPTION BENEFITS
company logo
Cloud-based healthcare data management and analytics Scalable infrastructure, reduced costs, and real-time insights
company logo
AI-powered data sharing and predictive analytics via Azure Enhanced compliance, faster innovation, and improved care delivery
company logo
Federated learning and de-identified data analysis Privacy-preserving insights and efficient clinical research
company logo
Patient engagement and consent-driven data sharing Personalized care and streamlined data monetization
company logo
Advanced analytics for clinical and operational data Actionable insights, fraud detection, and research acceleration

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET ECOSYSTEM

The healthcare data monetization market ecosystem consists of data solution providers (Oracle Corporation, Microsoft Corporation, Google, Salesforce, Inc., SAS Institute Inc., SAP SE, TIBCO Software Inc., Snowflake Inc., Qlik, Infosys, Sisense Inc., Accenture, Availity, LLC, Domo, Inc., Komodo Health, Inc., Virtusa, Datavant, Infor, Inc., HealthVerity, Inc., ThoughtSpot Inc.), healthcare providers, payors, and research organizations. These stakeholders collect, integrate, and analyze patient records, claims data, and real-world evidence to generate actionable insights. Solution providers enable secure analytics, reporting, and interoperability, allowing hospitals, insurers, and pharma/biotech firms to optimize patient care, reduce costs, and identify new revenue streams. Collaboration across the ecosystem drives innovation, regulatory compliance, and growth.

healthcare-data-monetization-market Ecosystem

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET SEGMENTS

healthcare-data-monetization-market Segments

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

HEALTHCARE DATA MONETIZATION MARKET BY PRODUCT TYPE

By type, the healthcare data monetization market has been segmented into direct and indirect data monetization. In 2025, the direct segment accounted for the larger market share, driven by the growing demand among healthcare organizations to generate immediate revenue through the sale or licensing of data assets. The direct data monetization segment is further bifurcated into software and services. Among these, the software segment accounted for the largest share due to the increasing adoption of data analytics platforms, data integration tools, and secure data exchange solutions that enable real-time data monetization. These software solutions offer scalability, automation, and compliance features, making them essential for organizations looking to efficiently manage and commercialize large volumes of health data.

HEALTHCARE DATA MONETIZATION MARKET BY DEPLOYMENT

By deployment, the healthcare data monetization market has been segmented into on-premise and cloud segment, the cloud segment held the largest during the forecast period. This growth is driven by the cloud’s ability to offer unmatched scalability, flexibility, and cost-effectiveness, making it ideal for managing the vast and growing volumes of healthcare data.

HEALTHCARE DATA MONETIZATION MARKET BY DATA TYPE

Based on data type, the healthcare data monetization market is segmented into clinical data, clinical trial data, claims and billing data, consumer and digital health data, genomic and molecular data, and Others. In 2025, the clinical data segment accounted for larger share of the healthcare data monetization market. The increasing adoption of electronic health records (EHRs), along with the growing use of AI and analytics to extract actionable insights, is driving the segment's growth. The push for interoperable health systems and value-based care models is accelerating data sharing and monetization. Additionally, advancements in diagnostic imaging and real-time data integration are enhancing the commercial value of clinical datasets.

HEALTHCARE DATA MONETIZATION MARKET BY END USER

In 2025, the pharmaceutical and biotechnology companies segment held the largest share of the healthcare data monetization market, driven by their growing demand for real-world data (RWD) and advanced analytics to accelerate drug discovery, optimize clinical trials, and support regulatory approvals. These organizations increasingly depend on patient-level data to identify unmet medical needs, refine trial design, and generate real-world evidence (RWE) for market access and post-marketing surveillance.

REGION

Asia Pacific to be fastest-growing region in global healthcare data monetization market during forecast period

The Asia Pacific healthcare data monetization market is expected to register the highest growth rate during the forecast period of 2026–2031, driven by the rapid digitization of healthcare systems, expanding adoption of electronic health records (EHRs), increasing use of digital health platforms and connected medical devices, and growing investments in healthcare AI and data infrastructure. Countries such as China, Japan, India, South Korea, Singapore, and Australia are strengthening digital-health ecosystems and developing capabilities for healthcare data integration, analytics, and real-world evidence generation.

healthcare-data-monetization-market Region

HEALTHCARE DATA MONETIZATION MARKET: COMPANY EVALUATION MATRIX

In the healthcare data monetization market matrix, Oracle (Star) leads with a strong market share and a comprehensive product footprint, driven by its robust cloud infrastructure, advanced analytics platforms, and seamless integration capabilities that enable healthcare organizations to unlock value from large-scale health data. Accenture (Emerging Leader) is rapidly gaining visibility through its strategic consulting expertise, tailored data monetization frameworks, and strong collaborations with payers, providers, and life sciences companies. While Oracle dominates through scale, technological depth, and a broad solution portfolio, Accenture shows strong potential to advance toward the leaders’ quadrant as demand for data-driven healthcare strategies, interoperability, and value-based care models continues to accelerate.

healthcare-data-monetization-market Evaluation Metrics

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

MARKET SCOPE

REPORT METRIC DETAILS
Market Size in 2026 (Value) USD 0.7 BN
Market Forecast in 2031 (Value) USD 1.3 BN
Growth Rate CAGR of 14.5% from 2026-2031
Years Considered 2024–2031
Base Year 2025
Forecast Period 2026-2031
Units Considered Value (USD Million/Billion)
Report Coverage Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Segments Covered
  • By Product Type (Direct, Indirect)
  • Data Type (Clinical data, clinical trial data, claims and billing data, consumer and digital health data)
  • Deployment (On premise, cloud)
  • End user (Pharmaceutical & Biopharma companies, healthcare payers, healthcare providers, Medtech companies, other end users)
Regions Covered North America, Europe, Asia Pacific, Latin America, Middle East & Africa

WHAT IS IN IT FOR YOU: HEALTHCARE DATA MONETIZATION MARKET REPORT CONTENT GUIDE

healthcare-data-monetization-market Content Guide

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST CUSTOMIZATION DELIVERED VALUE ADDS
Healthcare Data Monetization Market
  • Global Healthcare Data Monetization Market
  • Segmentation by End User (Pharmaceutical & Biotechnology Companies, Healthcare Payers, Healthcare Providers, Medical Technology Companies, Other End Users)
  • Market forecast 2026–2031 (USD Million)
  • Sample tables by End User and Region
  • Provided global market sizing for healthcare data monetization
  • Enabled identification of key end-user opportunities
  • Supported strategic planning and investment decisions in healthcare data commercialization
Healthcare Data Monetization Market
  • Healthcare Data Monetization Market
  • Segmentation by Data Type (Clinical Data, Claims & Billing Data, Patient-Generated Data, Genomic Data, Operational Data, Other Data Types)
  • Market forecast 2024–2031
  • Regional analysis and sample tables
  • Provided detailed sizing across major healthcare data categories
  • Enabled assessment of high-value data sources for monetization
  • Supported data strategy, partnership, and commercialization planning
Healthcare Data Monetization Market
  • Healthcare Data Monetization Market
  • Segmentation by Monetization Model (Data Licensing, Data-as-a-Service, Analytics & Insights, Data Exchange/Marketplace, Other Models)
  • Market forecast 2024–2031
  • Sample tables by Monetization Model and Region
  • Provided market estimates across key healthcare data monetization models
  • Enabled comparison of revenue-generation approaches
  • Supported strategic decisions related to data commercialization, partnerships, and new revenue streams

RECENT DEVELOPMENTS

  • April 2026 : Regeneron announced a strategic collaboration with TriNetX providing access to de-identified EHR data covering approximately 300 million patients globally. Regeneron can connect this EHR information with its genomic and proteomic datasets to support drug discovery, development, and AI applications. The deal illustrates the increasing commercial value of large-scale EHR datasets and linked data assets.
  • January 2025 : Selfii announced the launch of TripleBlind Exchange, a groundbreaking marketplace that enables secure, HIPAA-compliant access to protected health information (PHI) without the need for traditional de-identification.  
  • December 2024 : Atropos Health launched AI model training on its Evidence Network, the largest federated healthcare data network with 200M+ de-identified patient records. This enables AI-driven insights for pharmaceutical companies and health systems, including Stanford. 
  • October 2024 : Datma introduced datma.FED, a two-sided marketplace platform enhancing healthcare data sharing, accessibility, and monetization by connecting health systems, labs, pharma, and research organizations. 

 

Table of Contents

checkmarkExclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE
PAGE NO
1
INTRODUCTION
 
 
 
15
2
EXECUTIVE SUMMARY
 
 
 
 
3
PREMIUM INSIGHTS
 
 
 
 
4
MARKET OVERVIEW
Captures industry movement, adoption patterns, and strategic signals across key end-use segments and regions.
 
 
 
 
 
4.1
INTRODUCTION
 
 
 
 
4.2
MARKET DYNAMICS
 
 
 
 
 
4.2.1
DRIVERS
 
 
 
 
 
4.2.1.1
GROWING USE OF EXTERNAL DATA SOURCES
 
 
 
 
4.2.1.2
INCREASING ADOPTION OF ELECTRONIC HEALTH RECORDS (EHRS)
 
 
 
 
4.2.1.3
GROWING VOLUME OF LARGE AND COMPLEX HEALTHCARE DATASETS
 
 
 
 
4.2.1.4
RISING NEED TO CURTAIL ESCALATING HEALTHCARE COSTS
 
 
 
4.2.2
RESTRAINTS
 
 
 
 
 
4.2.2.1
LACK OF DATA STANDARDIZATION AND INTEROPERABILITY
 
 
 
 
4.2.2.2
REGULATORY CONSTRAINTS
 
 
 
4.2.3
OPPORTUNITIES
 
 
 
 
 
4.2.3.1
RISING DEMAND FOR REAL-WORLD EVIDENCE
 
 
 
 
4.2.3.2
EMERGENCE OF PERSONALIZED MEDICINE AND GENOMICS
 
 
 
4.2.4
CHALLENGES
 
 
 
 
 
4.2.4.1
DATA SECURITY AND CONFIDENTIALITY CONCERNS
 
 
4.3
UNMET NEEDS AND WHITE SPACES
 
 
 
 
4.4
INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
 
 
 
 
4.5
STRATEGIC MOVES BY TIER-1/2/3 PLAYERS
 
 
 
5
INDUSTRY TRENDS
This section summarizes market dynamics, key shifts, and high-impact trends shaping demand outlook.
 
 
 
 
 
5.1
PORTER'S FIVE FORCES ANALYSIS
 
 
 
 
5.2
MACROECONOMICS INDICATORS
 
 
 
 
 
5.2.1
INTRODUCTION
 
 
 
 
5.2.2
GDP TRENDS AND FORECAST
 
 
 
 
5.2.3
TRENDS IN GLOBAL DATA MONETIZATION INDUSTRY
 
 
 
5.3
VALUE CHAIN ANALYSIS
 
 
 
 
 
5.4
ECOSYSTEM ANALYSIS
 
 
 
 
 
5.5
PRICING ANALYSIS
 
 
 
 
 
 
5.5.1
INDICATIVE PRICE FOR HEALTHCARE DATA MONETIZATION MARKET, BY TYPE (2025)
 
 
 
 
5.5.2
INDICATIVE PRICE FOR HEALTHCARE DATA MONETIZATION MARKET, BY REGION (2025)
 
 
 
5.6
KEY CONFERENCES AND EVENTS, 2026–2027
 
 
 
 
5.7
TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
 
 
 
 
5.8
INVESTMENT AND FUNDING SCENARIO
 
 
 
 
5.9
CASE STUDY ANALYSIS
 
 
 
 
5.10
IMPACT OF 2025 US TARIFF – HEALTHCARE DATA MONETIZATION MARKET
 
 
 
 
 
 
5.10.1
INTRODUCTION
 
 
 
 
5.10.2
KEY TARIFF RATES
 
 
 
 
5.10.3
PRICE IMPACT ANALYSIS
 
 
 
 
5.10.4
IMPACT ON COUNTRIES/REGIONS
 
 
 
 
 
5.10.4.1
US
 
 
 
 
5.10.4.2
EUROPE
 
 
 
 
5.10.4.3
ASIA PACIFIC
 
 
 
5.10.5
IMPACT ON END-USE INDUSTRIES
 
 
6
TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS
 
 
 
 
 
6.1
KEY EMERGING TECHNOLOGIES
 
 
 
 
6.2
COMPLEMENTARY TECHNOLOGIES
 
 
 
 
6.3
ADJACENT TECHNOLOGIES
 
 
 
 
6.4
TECHNOLOGY/PRODUCT ROADMAP
 
 
 
 
6.5
PATENT ANALYSIS
 
 
 
 
 
6.6
FUTURE APPLICATIONS
 
 
 
7
REGULATORY LANDSCAPE
 
 
 
 
 
7.1
REGIONAL REGULATIONS AND COMPLIANCE
 
 
 
 
 
7.1.1
REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
 
 
 
 
7.1.2
INDUSTRY STANDARDS
 
 
8
CUSTOMER LANDSCAPE & BUYER BEHAVIOR
 
 
 
 
 
8.1
INTRODUCTION
 
 
 
 
8.2
DECISION-MAKING PROCESS
 
 
 
 
8.3
KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA
 
 
 
 
 
8.3.1
KEY STAKEHOLDERS IN BUYING PROCESS
 
 
 
 
8.3.2
BUYING CRITERIA
 
 
 
8.4
ADOPTION BARRIERS & INTERNAL CHALLENGES
 
 
 
 
8.5
UNMET NEEDS FROM VARIOUS END-USE INDUSTRIES
 
 
 
 
8.6
MARKET PROFITABILITY
 
 
 
9
HEALTHCARE DATA MONETIZATION MARKET, BY TYPE (MARKET SIZE & FORECAST TO 2031)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
9.1
INTRODUCTION
 
 
 
 
9.2
DIRECT DATA MONETIZATION
 
 
 
 
 
9.2.1
SOFTWARE
 
 
 
 
9.2.2
SERVICES
 
 
 
9.3
INDIRECT DATA MONETIZATION
 
 
 
 
 
9.3.1
SOFTWARE
 
 
 
 
9.3.2
SERVICES
 
 
10
9. HEALTHCARE DATA MONETIZATION MARKET, BY DATA TYPE (MARKET SIZE & FORECAST TO 2031)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
10.1
INTRODUCTION
 
 
 
 
10.2
CLINICAL DATA
 
 
 
 
10.3
CLINICAL TRIAL DATA
 
 
 
 
10.4
CLAIMS AND BILLING DATA
 
 
 
 
10.5
CONSUMER AND DIGITAL HEALTH DATA
 
 
 
 
10.6
GENOMIC AND MOLECULAR DATA
 
 
 
 
10.7
OTHER DATA TYPES
 
 
 
11
HEALTHCARE DATA MONETIZATION MARKET, BY DEPLOYMENT (MARKET SIZE & FORECAST TO 2031)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
11.1
INTRODUCTION
 
 
 
 
11.2
ON-PREMISE
 
 
 
 
11.3
CLOUD
 
 
 
12
HEALTHCARE DATA MONETIZATION MARKET, BY END USER (MARKET SIZE & FORECAST TO 2031)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
12.1
INTRODUCTION
 
 
 
 
12.2
PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES
 
 
 
 
12.3
HEALTHCARE PAYERS
 
 
 
 
12.4
HEALTHCARE PROVIDERS
 
 
 
 
12.5
MEDTECH COMPANIES
 
 
 
 
12.6
OTHER END USERS
 
 
 
13
HEALTHCARE DATA MONETIZATION MARKET, BY REGION (MARKET SIZE & FORECAST TO 2031)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
13.1
INTRODUCTION
 
 
 
 
13.2
NORTH AMERICA
 
 
 
 
 
13.2.1
US
 
 
 
 
13.2.2
CANADA
 
 
 
13.3
EUROPE
 
 
 
 
 
13.3.1
GERMANY
 
 
 
 
13.3.2
FRANCE
 
 
 
 
13.3.3
UK
 
 
 
 
13.3.4
ITALY
 
 
 
 
13.3.5
SPAIN
 
 
 
 
13.3.6
REST OF EUROPE
 
 
 
13.4
ASIA PACIFIC
 
 
 
 
 
13.4.1
CHINA
 
 
 
 
13.4.2
JAPAN
 
 
 
 
13.4.3
INDIA
 
 
 
 
13.4.4
REST OF ASIA PACIFIC
 
 
 
13.5
LATIN AMERICA
 
 
 
 
 
13.5.1
BRAZIL
 
 
 
 
13.5.2
MEXICO
 
 
 
 
13.5.3
REST OF LATIN AMERICA
 
 
 
13.6
MIDDLE EAST & AFRICA
 
 
 
 
 
13.6.1
GCC COUNTRIES
 
 
 
 
13.6.2
REST OF MIDDLE EAST & AFRICA
 
 
14
COMPETITIVE LANDSCAPE
 
 
 
 
 
STRATEGIC ASSESSMENT OF LEADING PLAYERS, MARKET SHARE, REVENUE ANALYSIS, COMPANY POSITIONING, AND COMPETITIVE BENCHMARKS INFLUENCING MARKET POTENTIAL
 
 
 
 
 
 
14.1
OVERVIEW
 
 
 
 
14.2
KEY PLAYER STRATEGIES/RIGHT TO WIN
 
 
 
 
 
14.2.1
COMPETITIVE STRATEGIES INITIATIVES
 
 
 
 
14.2.2
OPERATIONAL STRATEGIES INITIATIVES (WORKFORCE UPSKILLING, LEADERSHIP DEVELOPMENT, GLOBAL COLLABORATIONS, AND ORGANIZATIONAL AGILITY)
 
 
 
14.3
REVENUE ANALYSIS (2021–2025)
 
 
 
 
 
14.4
MARKET SHARE ANALYSIS (2025)
 
 
 
 
 
14.5
BRAND COMPARISON
 
 
 
 
 
14.6
COMPANY EVALUATION MATRIX: KEY PLAYERS,
 
 
 
 
 
 
14.6.1
STARS
 
 
 
 
14.6.2
EMERGING LEADERS
 
 
 
 
14.6.3
PERVASIVE PLAYERS
 
 
 
 
14.6.4
PARTICIPANTS
 
 
 
 
14.6.5
COMPANY FOOTPRINT: KEY PLAYERS,
 
 
 
 
 
14.6.5.1
COMPANY FOOTPRINT
 
 
 
 
14.6.5.2
REGION FOOTPRINT
 
 
 
 
14.6.5.3
OFFERING FOOTPRINT
 
 
 
 
14.6.5.4
APPLICATION FOOTPRINT
 
 
 
 
14.6.5.5
END USER FOOTPRINT
 
 
14.7
COMPANY EVALUATION MATRIX: STARTUPS/SMES,
 
 
 
 
 
 
14.7.1
PROGRESSIVE COMPANIES
 
 
 
 
14.7.2
DYNAMIC COMPANIES
 
 
 
 
14.7.3
RESPONSIVE COMPANIES
 
 
 
 
14.7.4
STARTING BLOCKS
 
 
 
 
14.7.5
COMPETITIVE BENCHMARKING: STARTUPS/SMES,
 
 
 
 
 
14.7.5.1
DETAILED LIST OF KEY STARTUPS/SMES
 
 
 
 
14.7.5.2
COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
 
 
14.8
COMPANY VALUATION AND FINANCIAL METRICS
 
 
 
 
14.9
COMPETITIVE SCENARIOS
 
 
 
 
 
14.9.1
PRODUCT LAUNCHES
 
 
 
 
14.9.2
DEALS
 
 
 
 
14.9.3
EXPANSIONS
 
 
 
 
14.9.4
OTHERS
 
 
15
COMPANY PROFILES
 
 
 
 
 
IN-DEPTH REVIEW OF COMPANIES, PRODUCTS, SERVICES, RECENT INITIATIVES, AND POSITIONING STRATEGIES IN THE HEALTHCARE DATA MONETIZATION MARKET LANDSCAPE
 
 
 
 
 
15.1
KEY PLAYERS
 
 
 
 
 
15.1.1
ORACLE CORPORATION
 
 
 
 
15.1.2
MICROSOFT CORPORATION
 
 
 
 
15.1.3
ALPHABET INC.
 
 
 
 
15.1.4
SALESFORCE, INC
 
 
 
 
15.1.5
SAS INSTITUTE INC.
 
 
 
 
15.1.6
SAP SE
 
 
 
 
15.1.7
TIBCO SOFTWARE INC.
 
 
 
 
15.1.8
SNOWFLAKE INC.
 
 
 
 
15.1.9
QLIK
 
 
 
 
15.1.10
INFOSYS.
 
 
 
 
15.1.11
SISENSE INC.
 
 
 
 
15.1.12
ACCENTURE
 
 
 
 
15.1.13
AVAILITY, LLC
 
 
 
 
15.1.14
DOMO, INC.
 
 
 
 
15.1.15
KOMODO HEALTH, INC.
 
 
 
 
15.1.16
VIRTUSA
 
 
 
 
15.1.17
DATAVANT
 
 
 
 
15.1.18
INFOR, INC
 
 
 
 
15.1.19
HEALTHVERITY, INC.
 
 
 
 
15.1.20
THOUGHTSPOT INC.
 
 
 
15.2
OTHER PLAYERS
 
 
 
 
 
15.2.1
VERATO
 
 
 
 
15.2.2
PARTICLE HEALTH, INC.
 
 
 
 
15.2.3
INNOVACCER, INC.
 
 
 
 
15.2.4
H1
 
 
 
 
15.2.5
MEDABLE INC.
 
 
16
RESEARCH METHODOLOGY
 
 
 
 
 
16.1
RESEARCH DATA
 
 
 
 
 
16.1.1
SECONDARY DATA
 
 
 
 
 
16.1.1.1
KEY DATA FROM SECONDARY SOURCES
 
 
 
 
16.1.1.2
LIST OF KEY SECONDARY SOURCES
 
 
 
16.1.2
PRIMARY DATA
 
 
 
 
 
16.1.2.1
KEY DATA FROM PRIMARY SOURCES
 
 
 
 
16.1.2.2
KEY PRIMARY PARTICIPANTS
 
 
 
 
16.1.2.3
BREAKDOWN OF PRIMARY INTERVIEWS
 
 
 
 
16.1.2.4
KEY INDUSTRY INSIGHTS
 
 
16.2
MARKET SIZE ESTIMATION
 
 
 
 
 
16.2.1
BOTTOM-UP APPROACH
 
 
 
 
16.2.2
TOP-DOWN APPROACH
 
 
 
 
16.2.3
MARKET SIZE CALCULATION FOR BASE YEAR
 
 
 
16.3
MARKET FORECAST APPROACH
 
 
 
 
 
16.3.1
SUPPLY SIDE
 
 
 
 
16.3.2
DEMAND SIDE
 
 
 
16.4
DATA TRIANGULATION
 
 
 
 
16.5
FACTOR ANALYSIS
 
 
 
 
16.6
RESEARCH ASSUMPTIONS AND LIMITATIONS
 
 
 
 
16.7
RISK ASSESSMENT
 
 
 
17
APPENDIX
 
 
 
 
 
17.1
DISCUSSION GUIDE
 
 
 
 
17.2
KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
 
 
 
 
17.3
CUSTOMIZATION OPTIONS
 
 
 
 
17.4
RELATED REPORTS
 
 
 
 
17.5
AUTHOR DETAILS
 
 
 

Methodology

The study consisted of five major activities to estimate the current size of the healthcare data monetization market. First, comprehensive secondary research was conducted to gather information about the market and its various subsegments. Next, these findings, assumptions, and estimates were validated through primary research with industry experts across the value chain. Both top-down and bottom-up approaches were utilized to determine the overall market size. Following this, market breakdown and data triangulation procedures were employed to estimate the sizes of specific segments and subsegments.

Secondary Research

This research study extensively utilized secondary sources, including directories and databases such as Dun & Bradstreet, Bloomberg Business, and Factiva. It also incorporated white papers, annual reports, company documents, investor presentations, and SEC filings. The assessment of the healthcare data monetization market solutions was conducted using both paid and free secondary data sources. This involved analyzing the product portfolios of major industry players and evaluating these companies based on their performance and quality.

The secondary research process involved reviewing various sources to gather relevant information for the study. These included annual reports, press releases, investor presentations from healthcare data monetization vendors, forums, certified publications, and white papers. The insights gained from this secondary research were crucial in understanding the industry’s value chain, identifying key players, and examining market classification and segmentation from both market and technology perspectives.

Primary Research

In the primary research process, various sources from both the supply and demand sides were interviewed to gather qualitative and quantitative information for this report. The primary sources included industry experts from core and related sectors, as well as preferred suppliers, manufacturers, distributors, technology developers, researchers, and organizations connected to all segments of the industry’s value chain. In-depth interviews were conducted with multiple primary respondents, including key industry participants, subject-matter experts (SMEs), C-level executives of prominent market players, and industry consultants, among others. These interviews aimed to obtain and verify critical qualitative and quantitative information and to assess future prospects. Primary research was carried out to identify segmentation types, industry trends, key players, and important market dynamics, such as drivers, restraints, opportunities, challenges, and strategies adopted by key players in the industry.

After completing the market engineering process, which involves calculations for market statistics, estimating market size, forecasting, and data triangulation, we conducted extensive primary research. This research aimed to gather information and validate the critical figures obtained during the market analysis. Additionally, we carried out primary research to identify various types of market segmentation, analyze industry trends, evaluate the competitive landscape of healthcare data monetization solutions provided by different players, and understand key market dynamics such as drivers, restraints, opportunities, challenges, and strategies employed by significant market participants.

Throughout the market engineering process, we utilized both top-down and bottom-up approaches, along with various data triangulation methods, to estimate the market and forecast trends for the overall market segments and subsegments included in this report. We also performed comprehensive qualitative and quantitative analyses to provide key insights.

Breakdown of Primary Respondents:

Healthcare Data Monetization Market 
 Size, and Share

Note 1: Others include sales, marketing, and product managers.
Note 2: Tiers are defined based on a company’s total revenue, as of 2022: Tier 1 = >USD 1 billion, Tier 2 = USD 500 million to USD 1 billion, and Tier 3 = <USD 500 million

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

The market size estimates and forecasts provided in this study are derived through a mix of the bottom-up approach (revenue share analysis of leading players) and top-down approach (assessment of utilization/adoption/penetration trends, type, deployment, end user, and region).

Healthcare Data Monetization Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall market size using the market size estimation process, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, the data triangulation and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying various factors and trends from both the demand and supply sides in the healthcare data monetization market.

Market Definition

Healthcare data monetization refers to the process of generating economic value from healthcare data by leveraging it for strategic, clinical, or commercial purposes. This can include directly selling or licensing data, or indirectly using data insights to improve operations, enhance patient outcomes, support research, or develop new products and services. It enables healthcare stakeholders to generate the full potential of data as a revenue-generating and decision-enhancing asset.

Key Stakeholders

  • Healthcare Data Monetization Vendors
  • Government Bodies
  • Healthcare Service Providers
  • Clinical/Physician Centers
  • Healthcare Professionals
  • Health IT service Providers
  • Healthcare Associations/Institutes
  • Ambulatory Care Centers
  • Medical Technology Companies
  • Pharmaceutical & Biotechnology Companies
  • Venture Capitalists
  • Distributors and Resellers
  • Maintenance and Support Service Providers
  • Integration Service Providers
  • Healthcare Payers
  • Advocacy Groups
  • Data Security and Privacy Experts
  • Investors and Financial Institutions
  • Industry Associations and Trade Groups

Report Objectives

  • To define, describe, and forecast the global healthcare data monetization market by type, deployment, end user, and region
  • To provide detailed information regarding the major factors influencing the growth of the market (such as drivers, restraints, opportunities, and challenges)
  • To analyze micromarkets with respect to individual growth trends, prospects, and contributions to the overall healthcare data monetization market
  • To assess the healthcare data monetization market with regard to Porter’s Five Forces, regulatory landscape, value chain, ecosystem map, patent protection, and key stakeholders and buying criteria
  • To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
  • To forecast the size of the healthcare data monetization market with respect to five main regions: North America, Europe, the Asia Pacific, Latin America, and the Middle East & Africa
  • To profile the key players in the healthcare data monetization market and comprehensively analyze their core competencies and market shares
  • To track and analyze competitive developments such as agreements, partnerships, acquisitions, expansions, product launches & enhancements, and R&D activities in the healthcare data monetization market.

Available customizations:

With the given market data, MarketsandMarkets offers customizations to meet your company’s needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)

Geographic Analysis

  • Further breakdown of the Rest of Europe healthcare data monetization market into Denmark, Norway, and others
  • Further breakdown of the Rest of Asia Pacific healthcare data monetization market into Vietnam, New Zealand, Australia, South Korea, and others.

 

Frequently Asked Questions (FAQ)

Which are the top industry players in the global healthcare data monetization market?

Prominent players include Oracle Corporation (US), Microsoft Corporation (US), Google (US), Salesforce, Inc. (US), SAS Institute Inc. (US), SAP SE (Germany), TIBCO Software Inc. (US), Sisense Inc. (US), Snowflake Inc. (US), QlikTech International AB (US), HealthVerity, Inc. (US), Accenture (Ireland), Availity, LLC (US), Domo, Inc. (US), Komodo Health, Inc. (US), ThoughtSpot Inc. (US), Datavant (US), Verato (US), Infor, Inc. (US), Virtusa (US), Infosys (India), Particle Health, Inc. (US), Innovaccer, Inc. (US), H1 (US), and Medable Inc. (US).

Which types have been included in the healthcare data monetization market report?

This report contains the following healthcare data monetization types:

  • Direct Data Monetization
    • Software
    • Services
  • Indirect Data Monetization
    • Software
    • Services

 

Which geographical region dominates the global healthcare data monetization market?

North America currently dominates the market. However, the Asia Pacific region is expected to register the highest growth during the forecast period.

Which end-user segments have been included in the healthcare data monetization market report?

The report contains the following end-user segments:

  • Pharmaceutical & Biotechnology Companies
  • Healthcare Payers
  • Healthcare Providers
  • Medical Technology Companies
  • Other End-Users

 

What is the total CAGR for the healthcare data monetization market from 2025 to 2030?

The market is expected to grow at a CAGR of 14.9% during the forecast period from 2025 to 2030.

Personalize This Research

  • Triangulate with your Own Data
  • Get Data as per your Format and Definition
  • Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
  • Any level of Personalization
Request A Free Customisation

Let Us Help You

  • What are the Known and Unknown Adjacencies Impacting the Healthcare Data Monetization Market
  • What will your New Revenue Sources be?
  • Who will be your Top Customer; what will make them switch?
  • Defend your Market Share or Win Competitors
  • Get a Scorecard for Target Partners
Customized Workshop Request

Custom Market Research Services

We Will Customise The Research For You, In Case The Report Listed Above Does Not Meet With Your Requirements

Get 10% Free Customisation

TESTIMONIALS

Growth opportunities and latent adjacency in Healthcare Data Monetization Market

DMCA.com Protection Status
popup img