Master Data Management In Healthcare Market Size, Share & Trends Analysis Report By Component (Software, Services), By Deployment Mode (Cloud-based, On-premise), By End Use, By Region, And Segment Forecasts, 2025 - 2033
Description
Master Data Management In Healthcare Market Summary
The global master data management in healthcare market size was estimated at USD 1.63 billion in 2024 and is projected to reach USD 2.98 billion by 2033, growing at a CAGR of 7.0% from 2025 to 2033. This growth is attributed to the growing volume of healthcare data, increasing adoption of healthcare IT solutions, integration of advanced analytics & AI, and the need for data accuracy and interoperability.
The growing volume of healthcare data is contributing to the growth of the healthcare master data management (MDM) for healthcare market, as providers, payers, and life science organizations generate massive amounts of clinical, operational, and patient-centric information across EHRs, diagnostics, IoT devices, imaging systems, and claims platforms. For instance, according to Semarchy, the healthcare sector accounted for 30% of global data and is projected to reach 36% by 2025. This surge in healthcare data makes it challenging for healthcare enterprises to maintain accuracy, consistency, and interoperability without a unified framework, highlighting the need for scalable master data management solutions that can harmonize data sources, eliminate duplication, and support analytics, regulatory compliance, and value-based care initiatives.
Growing demands for data accuracy and interoperability are accelerating the expansion of the healthcare master data management market, as organizations struggle with fragmented, siloed information across EHRs, lab systems, billing platforms, imaging archives, and connected health devices. Inaccurate or inconsistent data creates risks ranging from clinical errors to reimbursement delays, making a unified, reliable data foundation essential. MDM platforms help standardize patient, provider, and asset records, eliminate duplication, and enable smooth data exchange across disparate systems through governance and normalization frameworks. As healthcare shifts toward analytics-driven decision-making, coordinated care, and regulatory compliance, the need for interoperable, high-quality data is pushing both providers and payers to adopt robust MDM solutions.
Global Master Data Management In Healthcare Market Report Segmentation
This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global master data management in healthcare market report based on component, application, end use, and region:
The global master data management in healthcare market size was estimated at USD 1.63 billion in 2024 and is projected to reach USD 2.98 billion by 2033, growing at a CAGR of 7.0% from 2025 to 2033. This growth is attributed to the growing volume of healthcare data, increasing adoption of healthcare IT solutions, integration of advanced analytics & AI, and the need for data accuracy and interoperability.
The growing volume of healthcare data is contributing to the growth of the healthcare master data management (MDM) for healthcare market, as providers, payers, and life science organizations generate massive amounts of clinical, operational, and patient-centric information across EHRs, diagnostics, IoT devices, imaging systems, and claims platforms. For instance, according to Semarchy, the healthcare sector accounted for 30% of global data and is projected to reach 36% by 2025. This surge in healthcare data makes it challenging for healthcare enterprises to maintain accuracy, consistency, and interoperability without a unified framework, highlighting the need for scalable master data management solutions that can harmonize data sources, eliminate duplication, and support analytics, regulatory compliance, and value-based care initiatives.
Growing demands for data accuracy and interoperability are accelerating the expansion of the healthcare master data management market, as organizations struggle with fragmented, siloed information across EHRs, lab systems, billing platforms, imaging archives, and connected health devices. Inaccurate or inconsistent data creates risks ranging from clinical errors to reimbursement delays, making a unified, reliable data foundation essential. MDM platforms help standardize patient, provider, and asset records, eliminate duplication, and enable smooth data exchange across disparate systems through governance and normalization frameworks. As healthcare shifts toward analytics-driven decision-making, coordinated care, and regulatory compliance, the need for interoperable, high-quality data is pushing both providers and payers to adopt robust MDM solutions.
Global Master Data Management In Healthcare Market Report Segmentation
This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global master data management in healthcare market report based on component, application, end use, and region:
- Component Outlook (Revenue, USD Million, 2021 - 2033)
- Software
- Services
- Deployment Mode Outlook (Revenue, USD Million, 2021 - 2033)
- Cloud-based
- On-Premise
- End Use Outlook (Revenue, USD Million, 2021 - 2033)
- Healthcare Providers
- Healthcare Payers
- Pharmaceutical & Life Sciences Companies
- Others
- Regional Outlook (Revenue, USD Million, 2021 - 2033)
- North America
- U.S.
- Canada
- Mexico
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Denmark
- Sweden
- Norway
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Thailand
- Latin America
- Brazil
- Argentina
- Middle East and Africa (MEA)
- South Africa
- Saudi Arabia
- UAE
- Kuwait
Table of Contents
190 Pages
- Chapter 1. Methodology and Scope
- 1.1. Market Segmentation & Scope
- 1.1.1. Component
- 1.1.2. Deployment Mode
- 1.1.3. End use
- 1.1.4. Estimates and forecast timeline.
- 1.2. Research Methodology
- 1.3. Information Procurement
- 1.3.1. Purchased database.
- 1.3.2. GVR’s internal database
- 1.3.3. Secondary sources
- 1.3.4. Primary research
- 1.3.5. Details of primary research
- 1.4. Information or Data Analysis
- 1.4.1. Data analysis models
- 1.5. Market Formulation & Validation
- 1.6. Model Details
- 1.6.1. Commodity flow analysis (Model 1)
- 1.6.2. Approach 1: Commodity flow approach
- 1.7. List of Secondary Sources
- 1.8. List of Primary Sources
- 1.9. Objectives
- Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Outlook
- 2.2.1. Component outlook
- 2.2.2. Deployment Mode outlook
- 2.2.3. End use outlook
- 2.3. Competitive Insights
- Chapter 3. Master Data Management in Healthcare Market Variables, Trends & Scope
- 3.1. Market Lineage Outlook
- 3.1.1. Parent market outlook
- 3.1.2. Related/ancillary market outlook
- 3.2. Market Dynamics
- 3.2.1. Market Driver analysis
- 3.2.1.1. Growing Volume of Healthcare Data
- 3.2.1.2. Increasing Adoption of Healthcare IT Solutions
- 3.2.1.3. Integration of Advanced Analytics & AI
- 3.2.1.4. Need for Data Accuracy and Interoperability
- 3.2.2. Market Restraint Analysis
- 3.2.2.1. High Implementation Costs
- 3.2.2.2. Data Privacy & Security Concerns
- 3.2.2.3. Lack of Skilled professionals
- 3.2.3. Market Challenges analysis
- 3.2.4. Market Opportunity Analysis
- 3.2.5. Technology Overview
- 3.2.6. Case Study Insights
- 3.3. Master Data Management in Healthcare Market Analysis Tools
- 3.3.1. Industry Analysis - Porter’s
- 3.3.1.1. Supplier power
- 3.3.1.2. Buyer power
- 3.3.1.3. Substitution threat
- 3.3.1.4. Threat of new entrant
- 3.3.1.5. Competitive rivalry
- 3.3.2. PESTEL Analysis
- 3.3.2.1. Political landscape
- 3.3.2.2. Economic landscape
- 3.3.2.3. Social landscape
- 3.3.2.4. Technological landscape
- 3.3.2.5. Environmental landscape
- 3.3.2.6. Legal landscape
- Chapter 4. Master Data Management in Healthcare Market: Component Estimates & Trend Analysis
- 4.1. Component Type Market Share, 2024 & 2033
- 4.2. Segment Dashboard
- 4.3. Master Data Management in Healthcare Market by Component Outlook
- 4.4. Software
- 4.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.5. Services
- 4.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
- Chapter 5. Master Data Management in Healthcare Market: Deployment Mode Estimates & Trend Analysis
- 5.1. Deployment Mode Market Share, 2024 & 2033
- 5.2. Segment Dashboard
- 5.3. Master Data Management in Healthcare Market by Deployment Mode Outlook
- 5.4. Cloud-based
- 5.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.5. On Premise
- 5.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
- Chapter 6. Master Data Management in Healthcare Market: End Use Estimates & Trend Analysis
- 6.1. End Use Market Share, 2024 & 2033
- 6.2. Segment Dashboard
- 6.3. Master Data Management in Healthcare Market by End Use Outlook
- 6.4. Healthcare Providers
- 6.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 6.5. Healthcare Payers
- 6.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 6.6. Pharmaceutical & Life Sciences Companies
- 6.6.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 6.7. Others
- 6.7.1. Market estimates and forecast 2021 to 2033 (USD Million)
- Chapter 7. Master Data Management in Healthcare Market: Regional Estimates & Trend Analysis
- 7.1. Regional Market Dashboard
- 7.2. Regional Market: Key Takeaways
- 7.3. North America
- 7.3.1. North America Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.3.2. U.S.
- 7.3.2.1. Key country dynamic
- 7.3.2.2. Regulatory framework
- 7.3.2.3. Competitive insights
- 7.3.2.4. U.S. Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.3.3. Canada
- 7.3.3.1. Key country dynamic
- 7.3.3.2. Regulatory framework
- 7.3.3.3. Competitive insights
- 7.3.3.4. Canada Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.3.4. Mexico
- 7.3.4.1. Key country dynamic
- 7.3.4.2. Regulatory framework
- 7.3.4.3. Competitive insights
- 7.3.4.4. Mexico Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.4. Europe
- 7.4.1. Europe Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.4.2. Germany
- 7.4.2.1. Key country dynamic
- 7.4.2.2. Regulatory framework
- 7.4.2.3. Competitive insights
- 7.4.2.4. Germany Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.4.3. UK
- 7.4.3.1. Key country dynamic
- 7.4.3.2. Regulatory framework
- 7.4.3.3. Competitive insights
- 7.4.3.4. UK Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.4.4. France
- 7.4.4.1. Key country dynamic
- 7.4.4.2. Regulatory framework
- 7.4.4.3. Competitive insights
- 7.4.4.4. France Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.4.5. Italy
- 7.4.5.1. Key country dynamic
- 7.4.5.2. Regulatory framework
- 7.4.5.3. Competitive insights
- 7.4.5.4. Italy Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.4.6. Spain
- 7.4.6.1. Key country dynamic
- 7.4.6.2. Regulatory framework
- 7.4.6.3. Competitive insights
- 7.4.6.4. Spain Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.4.7. Denmark
- 7.4.7.1. Key country dynamic
- 7.4.7.2. Regulatory framework
- 7.4.7.3. Competitive insights
- 7.4.7.4. Denmark Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.4.8. Sweden
- 7.4.8.1. Key country dynamic
- 7.4.8.2. Regulatory framework
- 7.4.8.3. Competitive insights
- 7.4.8.4. Sweden Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.4.9. Norway
- 7.4.9.1. Key country dynamic
- 7.4.9.2. Regulatory framework
- 7.4.9.3. Competitive insights
- 7.4.9.4. Norway Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.5. Asia Pacific
- 7.5.1. Asia Pacific Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.5.2. Japan
- 7.5.2.1. Key country dynamic
- 7.5.2.2. Regulatory framework
- 7.5.2.3. Competitive insights
- 7.5.2.4. Japan Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.5.3. China
- 7.5.3.1. Key country dynamic
- 7.5.3.2. Regulatory framework
- 7.5.3.3. Competitive insights
- 7.5.3.4. China Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.5.4. India
- 7.5.4.1. Key country dynamic
- 7.5.4.2. Regulatory framework
- 7.5.4.3. Competitive insights
- 7.5.4.4. India Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.5.5. South Korea
- 7.5.5.1. Key country dynamic
- 7.5.5.2. Regulatory framework
- 7.5.5.3. Competitive insights
- 7.5.5.4. South Korea Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.5.6. Australia
- 7.5.6.1. Key country dynamic
- 7.5.6.2. Regulatory framework
- 7.5.6.3. Competitive insights
- 7.5.6.4. Australia Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.5.7. Thailand
- 7.5.7.1. Key country dynamic
- 7.5.7.2. Regulatory framework
- 7.5.7.3. Competitive insights
- 7.5.7.4. Thailand Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.6. Latin America
- 7.6.1. Latin America Master Data Management in Healthcare Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 7.6.2. Brazil
- 7.6.2.1. Key country dynamic
- 7.6.2.2. Regulatory framework
- 7.6.2.3. Competitive insights
- 7.6.2.4. Brazil Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.6.3. Argentina
- 7.6.3.1. Key country dynamic
- 7.6.3.2. Regulatory framework
- 7.6.3.3. Competitive insights
- 7.6.3.4. Argentina Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.7. MEA
- 7.7.1. MEA Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.7.2. South Africa
- 7.7.2.1. Key country dynamic
- 7.7.2.2. Regulatory framework
- 7.7.2.3. Competitive insights
- 7.7.2.4. South Africa Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.7.3. Saudi Arabia
- 7.7.3.1. Key country dynamic
- 7.7.3.2. Regulatory framework
- 7.7.3.3. Competitive insights
- 7.7.3.4. Saudi Arabia Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.7.4. UAE
- 7.7.4.1. Key country dynamic
- 7.7.4.2. Regulatory framework
- 7.7.4.3. Competitive insights
- 7.7.4.4. UAE Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.7.5. Kuwait
- 7.7.5.1. Key country dynamic
- 7.7.5.2. Regulatory framework
- 7.7.5.3. Competitive insights
- 7.7.5.4. Kuwait Master Data Management in Healthcare Market estimates and forecasts, 2021 - 2033 (USD Million)
- Chapter 8. Competitive Landscape
- 8.1. Recent Developments & Impact Analysis, By Key Market Participants
- 8.2. Company/Competition Categorization, 2024
- 8.3. Company Profiles
- 8.3.1. Informatica Inc. (acquired by Salesforce)
- 8.3.1.1. Company overview
- 8.3.1.2. Financial performance
- 8.3.1.3. Product/Service Benchmarking
- 8.3.1.4. Strategic initiatives
- 8.3.2. IBM
- 8.3.2.1. Company overview
- 8.3.2.2. Financial performance
- 8.3.2.3. Product/Service Benchmarking
- 8.3.2.4. Strategic initiatives
- 8.3.3. SAS Institute Inc.
- 8.3.3.1. Company overview
- 8.3.3.2. Financial performance
- 8.3.3.3. Product/Service Benchmarking
- 8.3.3.4. Strategic initiatives
- 8.3.4. Profisee
- 8.3.4.1. Company overview
- 8.3.4.2. Financial performance
- 8.3.4.3. Product/Service Benchmarking
- 8.3.4.4. Strategic initiatives
- 8.3.5. IQVIA
- 8.3.5.1. Company overview
- 8.3.5.2. Financial performance
- 8.3.5.3. Product/Service Benchmarking
- 8.3.5.4. Strategic initiatives
- 8.3.6. The RELTIO
- 8.3.6.1. Company overview
- 8.3.6.2. Financial performance
- 8.3.6.3. Product/Service Benchmarking
- 8.3.6.4. Strategic initiatives
- 8.3.7. Stibo Systems
- 8.3.7.1. Company overview
- 8.3.7.2. Financial performance
- 8.3.7.3. Product/Service Benchmarking
- 8.3.7.4. Strategic initiatives
- 8.3.8. Verato
- 8.3.8.1. Company overview
- 8.3.8.2. Financial performance
- 8.3.8.3. Product/Service Benchmarking
- 8.3.8.4. Strategic initiatives
- 8.3.9. Semarchy
- 8.3.9.1. Company overview
- 8.3.9.2. Financial performance
- 8.3.9.3. Product/Service Benchmarking
- 8.3.9.4. Strategic initiatives
- 8.3.10. Smile Digital Health
- 8.3.10.1. Company overview
- 8.3.10.2. Financial performance
- 8.3.10.3. Product/Service Benchmarking
- 8.3.10.4. Strategic initiatives
- 8.3.11. Civica
- 8.3.11.1. Company overview
- 8.3.11.2. Financial performance
- 8.3.11.3. Product/Service Benchmarking
- 8.3.11.4. Strategic initiatives
- 8.3.12. Veeva Systems
- 8.3.12.1. Company overview
- 8.3.12.2. Financial performance
- 8.3.12.3. Product/Service Benchmarking
- 8.3.12.4. Strategic initiatives
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