Global Healthcare Analytics Market

Global healthcare analytics market, valued at USD 23 billion, grows via advanced analytics for better outcomes, with key segments in predictive analytics and healthcare providers.

Region:Global

Author(s):Dev

Product Code:KRAC0457

Pages:97

Published On:August 2025

About the Report

Base Year 2024

Global Healthcare Analytics Market Overview

  • The Global Healthcare Analytics Market is valued at USD 23 billion, based on a five-year historical analysis. This growth is primarily driven by the increasing adoption of advanced analytics solutions by healthcare providers and payers, aimed at improving patient outcomes and operational efficiency. The rising volume of healthcare data generated from electronic health records (EHRs) and the need for data-driven decision-making are significant factors propelling market expansion.
  • The United States, Canada, Germany, and the United Kingdom are among the dominant countries in the Global Healthcare Analytics Market, supported by advanced healthcare infrastructure, high healthcare IT investment, and concentration of leading vendors. North America holds the largest regional share, reflecting robust EHR penetration, payer analytics maturity, and regulatory drivers for value-based care.
  • The U.S. government’s 21st Century Cures Act and the ONC/CMS interoperability and information-blocking rules have been implemented to mandate standardized APIs (FHIR), patient access, and data exchange, which expand data liquidity and enable broader analytics use across providers and payers. These federal regulations are accelerating adoption of analytics to support care coordination, quality reporting, and population health.
Global Healthcare Analytics Market Size

Global Healthcare Analytics Market Segmentation

By Type:The market is segmented into various types, including Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Real-Time Analytics, and Cohort/Population Health Analytics. Predictive analytics is a principal growth area due to forecasting of patient outcomes, risk stratification, and resource optimization; however, descriptive analytics remains a substantial base layer in many deployments across providers and payers. Drivers include integration of AI/ML for risk prediction, personalization, and proactive care management across clinical and financial workflows.

Global Healthcare Analytics Market segmentation by Type.

By End-User:The end-user segmentation includes Healthcare Providers (Hospitals, IDNs), Healthcare Payers/Insurance Companies, Pharmaceutical & Life Sciences Companies, Government & Public Health Agencies, and Academic & Research Organizations. Healthcare Providers lead due to value-based care imperatives, clinical decision support integration, throughput and capacity optimization, and quality reporting. Payers are expanding analytics for fraud/waste/abuse detection, prior authorization, and member risk adjustment, while life sciences increasingly leverage RWD/RWE for trial optimization and outcomes research.

Global Healthcare Analytics Market segmentation by End-User.

Global Healthcare Analytics Market Competitive Landscape

The Global Healthcare Analytics Market is characterized by a dynamic mix of regional and international players. Leading participants such as IBM Corporation (IBM Watson Health assets now Merative), SAS Institute Inc., Oracle Corporation (Oracle Health, incl. Cerner), Oracle Health (formerly Cerner Corporation), McKesson Corporation, Altera Digital Health (formerly part of Allscripts), Koninklijke Philips N.V. (Philips Healthcare), Optum, Inc. (UnitedHealth Group), Cognizant Technology Solutions, Health Catalyst, Inc., Tableau Software, LLC (Salesforce, Tableau), Microsoft Corporation, GE HealthCare Technologies Inc., Siemens Healthineers AG, Veradigm Inc. (formerly Allscripts Healthcare Solutions, Inc.) contribute to innovation, geographic expansion, and service delivery in this space.

IBM Corporation

1911

Armonk, New York, USA

SAS Institute Inc.

1976

Cary, North Carolina, USA

Oracle Corporation

1977

Austin, Texas, USA

McKesson Corporation

1833

Irving, Texas, USA

Philips Healthcare

1891

Amsterdam, Netherlands

Company

Establishment Year

Headquarters

Company Size (by Healthcare Analytics Revenue)

YoY Healthcare Analytics Revenue Growth

R&D Intensity (% of Revenue)

Customer Retention/Net Revenue Retention (NRR)

Install Base (Number of Provider/Payer Clients)

Geographic Footprint (Countries/Regions Served)

Global Healthcare Analytics Market Industry Analysis

Growth Drivers

  • Increasing Demand for Data-Driven Decision Making:The healthcare sector is increasingly relying on data analytics to enhance decision-making processes. In future, healthcare organizations are projected to invest approximately $50 billion in analytics solutions, driven by the need for improved patient outcomes and operational efficiency. This shift is supported by the World Health Organization's report indicating that data-driven strategies can reduce hospital readmission rates by up to 20%, showcasing the tangible benefits of analytics in healthcare.
  • Rising Healthcare Costs and Need for Cost Management:With global healthcare expenditures expected to reach $12 trillion in future, the pressure to manage costs effectively is intensifying. Healthcare analytics can identify inefficiencies and optimize resource allocation, potentially saving organizations up to $300 billion annually. The Centers for Medicare & Medicaid Services (CMS) emphasizes that analytics can significantly reduce unnecessary procedures, further driving the demand for advanced analytics solutions in the healthcare sector.
  • Advancements in Big Data Technologies:The rapid evolution of big data technologies is a key driver for the healthcare analytics market. In future, the global big data market in healthcare is anticipated to exceed $40 billion, fueled by innovations in data storage, processing, and analysis. Technologies such as cloud computing and machine learning are enabling healthcare providers to harness vast amounts of data, leading to improved patient care and operational efficiencies, as highlighted by the International Data Corporation (IDC).

Market Challenges

  • Data Privacy and Security Concerns:As healthcare organizations increasingly adopt analytics solutions, data privacy and security remain significant challenges. In future, the healthcare sector is expected to face over 600 data breaches, exposing millions of patient records. Compliance with regulations such as HIPAA and GDPR is critical, as non-compliance can result in fines exceeding $2 million per incident, creating a substantial barrier to the adoption of healthcare analytics technologies.
  • High Implementation Costs:The initial investment required for implementing healthcare analytics solutions can be prohibitive. In future, the average cost of deploying a comprehensive analytics system is estimated at $1.5 million, which includes software, hardware, and training expenses. This financial burden can deter smaller healthcare providers from adopting necessary technologies, limiting the overall growth of the healthcare analytics market and hindering advancements in patient care.

Global Healthcare Analytics Market Future Outlook

The future of healthcare analytics is poised for transformative growth, driven by technological advancements and evolving patient care models. As organizations increasingly adopt artificial intelligence and machine learning, the ability to analyze real-time data will enhance decision-making processes. Furthermore, the integration of telehealth services is expected to expand, providing new avenues for data collection and analysis. These trends will not only improve patient outcomes but also streamline operational efficiencies across the healthcare landscape.

Market Opportunities

  • Expansion of Telehealth Services:The telehealth market is projected to reach $200 billion in future, creating significant opportunities for healthcare analytics. By leveraging data from telehealth platforms, providers can gain insights into patient behavior and treatment efficacy, ultimately enhancing care delivery and patient satisfaction.
  • Increasing Adoption of Cloud-Based Solutions:The cloud-based healthcare analytics market is expected to grow to $30 billion in future. This shift allows for scalable data storage and processing capabilities, enabling healthcare organizations to access and analyze data more efficiently, thus improving patient care and operational performance.

Scope of the Report

SegmentSub-Segments
By Type

Descriptive Analytics

Predictive Analytics

Prescriptive Analytics

Real-Time Analytics

Cohort/Population Health Analytics

By End-User

Healthcare Providers (Hospitals, IDNs)

Healthcare Payers/Insurance Companies

Pharmaceutical & Life Sciences Companies

Government & Public Health Agencies

Academic & Research Organizations

By Application

Clinical Analytics (Quality & Outcomes)

Financial & Revenue Cycle Analytics

Operational & Administrative Analytics

Population Health Management & Risk Stratification

Fraud, Waste & Abuse Analytics

By Deployment Mode

On-Premises

Cloud-Based

Hybrid

By Component

Software/Platforms

Services (Managed & Professional)

Hardware

By Sales Channel

Direct Enterprise Sales

System Integrators & VARs

Cloud Marketplaces & Online Sales

By Region

North America

Europe

Asia-Pacific

Latin America

Middle East & Africa

Key Target Audience

Investors and Venture Capitalist Firms

Government and Regulatory Bodies (e.g., World Health Organization, Food and Drug Administration)

Healthcare Providers and Institutions

Health Insurance Companies

Pharmaceutical Companies

Medical Device Manufacturers

Healthcare IT Companies

Public Health Organizations

Players Mentioned in the Report:

IBM Corporation (IBM Watson Health assets now Merative)

SAS Institute Inc.

Oracle Corporation (Oracle Health, incl. Cerner)

Oracle Health (formerly Cerner Corporation)

McKesson Corporation

Altera Digital Health (formerly part of Allscripts)

Koninklijke Philips N.V. (Philips Healthcare)

Optum, Inc. (UnitedHealth Group)

Cognizant Technology Solutions

Health Catalyst, Inc.

Tableau Software, LLC (Salesforce, Tableau)

Microsoft Corporation

GE HealthCare Technologies Inc.

Siemens Healthineers AG

Veradigm Inc. (formerly Allscripts Healthcare Solutions, Inc.)

Table of Contents

Market Assessment Phase

1. Executive Summary and Approach


2. Global Healthcare Analytics Market Overview

2.1 Key Insights and Strategic Recommendations

2.2 Global Healthcare Analytics Market Overview

2.3 Definition and Scope

2.4 Evolution of Market Ecosystem

2.5 Timeline of Key Regulatory Milestones

2.6 Value Chain & Stakeholder Mapping

2.7 Business Cycle Analysis

2.8 Policy & Incentive Landscape


3. Global Healthcare Analytics Market Analysis

3.1 Growth Drivers

3.1.1 Increasing Demand for Data-Driven Decision Making
3.1.2 Rising Healthcare Costs and Need for Cost Management
3.1.3 Advancements in Big Data Technologies
3.1.4 Growing Focus on Patient-Centric Care

3.2 Market Challenges

3.2.1 Data Privacy and Security Concerns
3.2.2 High Implementation Costs
3.2.3 Lack of Skilled Professionals
3.2.4 Integration with Legacy Systems

3.3 Market Opportunities

3.3.1 Expansion of Telehealth Services
3.3.2 Increasing Adoption of Cloud-Based Solutions
3.3.3 Growth in Wearable Health Technology
3.3.4 Rising Demand for Predictive Analytics

3.4 Market Trends

3.4.1 Shift Towards Value-Based Care Models
3.4.2 Increased Use of Artificial Intelligence and Machine Learning
3.4.3 Emphasis on Real-Time Data Analytics
3.4.4 Growing Partnerships Between Healthcare Providers and Tech Companies

3.5 Government Regulation

3.5.1 HIPAA Compliance Requirements
3.5.2 FDA Guidelines for Health Software
3.5.3 Data Protection Regulations (GDPR, CCPA)
3.5.4 Telehealth Policy Changes

4. SWOT Analysis


5. Stakeholder Analysis


6. Porter's Five Forces Analysis


7. Global Healthcare Analytics Market Market Size, 2019-2024

7.1 By Value

7.2 By Volume

7.3 By Average Selling Price


8. Global Healthcare Analytics Market Segmentation

8.1 By Type

8.1.1 Descriptive Analytics
8.1.2 Predictive Analytics
8.1.3 Prescriptive Analytics
8.1.4 Real-Time Analytics
8.1.5 Cohort/Population Health Analytics

8.2 By End-User

8.2.1 Healthcare Providers (Hospitals, IDNs)
8.2.2 Healthcare Payers/Insurance Companies
8.2.3 Pharmaceutical & Life Sciences Companies
8.2.4 Government & Public Health Agencies
8.2.5 Academic & Research Organizations

8.3 By Application

8.3.1 Clinical Analytics (Quality & Outcomes)
8.3.2 Financial & Revenue Cycle Analytics
8.3.3 Operational & Administrative Analytics
8.3.4 Population Health Management & Risk Stratification
8.3.5 Fraud, Waste & Abuse Analytics

8.4 By Deployment Mode

8.4.1 On-Premises
8.4.2 Cloud-Based
8.4.3 Hybrid

8.5 By Component

8.5.1 Software/Platforms
8.5.2 Services (Managed & Professional)
8.5.3 Hardware

8.6 By Sales Channel

8.6.1 Direct Enterprise Sales
8.6.2 System Integrators & VARs
8.6.3 Cloud Marketplaces & Online Sales

8.7 By Region

8.7.1 North America
8.7.2 Europe
8.7.3 Asia-Pacific
8.7.4 Latin America
8.7.5 Middle East & Africa

9. Global Healthcare Analytics Market Competitive Analysis

9.1 Market Share of Key Players

9.2 Cross Comparison of Key Players

9.2.1 Company Name
9.2.2 Company Size (by Healthcare Analytics Revenue)
9.2.3 YoY Healthcare Analytics Revenue Growth
9.2.4 R&D Intensity (% of Revenue)
9.2.5 Customer Retention/Net Revenue Retention (NRR)
9.2.6 Install Base (Number of Provider/Payer Clients)
9.2.7 Geographic Footprint (Countries/Regions Served)
9.2.8 Pricing Model (SaaS, Per-User, Per-Member-Per-Month, Enterprise)
9.2.9 Average Contract Value/Deal Size
9.2.10 Go-Live Time (Avg. Implementation Duration)
9.2.11 Compliance Certifications (HIPAA, HITRUST, ISO 27001)
9.2.12 Interoperability Support (FHIR/HL7 Integration Depth)
9.2.13 AI/ML Capabilities (Predictive/Prescriptive Features)
9.2.14 NPS or Customer Satisfaction Score

9.3 SWOT Analysis of Top Players

9.4 Pricing Analysis

9.5 Detailed Profile of Major Companies

9.5.1 IBM Corporation (IBM Watson Health assets now Merative)
9.5.2 SAS Institute Inc.
9.5.3 Oracle Corporation (Oracle Health, incl. Cerner)
9.5.4 Oracle Health (formerly Cerner Corporation)
9.5.5 McKesson Corporation
9.5.6 Altera Digital Health (formerly part of Allscripts)
9.5.7 Koninklijke Philips N.V. (Philips Healthcare)
9.5.8 Optum, Inc. (UnitedHealth Group)
9.5.9 Cognizant Technology Solutions
9.5.10 Health Catalyst, Inc.
9.5.11 Tableau Software, LLC (Salesforce, Tableau)
9.5.12 Microsoft Corporation
9.5.13 GE HealthCare Technologies Inc.
9.5.14 Siemens Healthineers AG
9.5.15 Veradigm Inc. (formerly Allscripts Healthcare Solutions, Inc.)

10. Global Healthcare Analytics Market End-User Analysis

10.1 Procurement Behavior of Key Ministries

10.1.1 Budget Allocation Trends
10.1.2 Decision-Making Processes
10.1.3 Preferred Procurement Channels

10.2 Corporate Spend on Infrastructure & Energy

10.2.1 Investment Priorities
10.2.2 Spending Patterns
10.2.3 Cost-Benefit Analysis

10.3 Pain Point Analysis by End-User Category

10.3.1 Data Integration Issues
10.3.2 User Training Needs
10.3.3 System Compatibility Challenges

10.4 User Readiness for Adoption

10.4.1 Technology Acceptance Levels
10.4.2 Training and Support Requirements
10.4.3 Change Management Strategies

10.5 Post-Deployment ROI and Use Case Expansion

10.5.1 Performance Metrics
10.5.2 Case Studies of Successful Implementations
10.5.3 Future Use Case Opportunities

11. Global Healthcare Analytics Market Future Size, 2025-2030

11.1 By Value

11.2 By Volume

11.3 By Average Selling Price


Go-To-Market Strategy Phase

1. Whitespace Analysis + Business Model Canvas

1.1 Market Gaps Identification

1.2 Value Proposition Development

1.3 Revenue Streams Analysis

1.4 Cost Structure Evaluation

1.5 Key Partnerships Exploration

1.6 Customer Segmentation

1.7 Channels to Market


2. Marketing and Positioning Recommendations

2.1 Branding Strategies

2.2 Product USPs

2.3 Target Audience Identification

2.4 Communication Strategies

2.5 Digital Marketing Approaches


3. Distribution Plan

3.1 Urban Retail Strategies

3.2 Rural NGO Tie-Ups

3.3 Online Distribution Channels

3.4 Direct Sales Approaches


4. Channel & Pricing Gaps

4.1 Underserved Routes

4.2 Pricing Bands Analysis

4.3 Competitor Pricing Strategies


5. Unmet Demand & Latent Needs

5.1 Category Gaps

5.2 Consumer Segments Analysis

5.3 Emerging Trends Identification


6. Customer Relationship

6.1 Loyalty Programs

6.2 After-Sales Service

6.3 Customer Feedback Mechanisms


7. Value Proposition

7.1 Sustainability Initiatives

7.2 Integrated Supply Chains

7.3 Unique Selling Points


8. Key Activities

8.1 Regulatory Compliance

8.2 Branding Initiatives

8.3 Distribution Setup


9. Entry Strategy Evaluation

9.1 Domestic Market Entry Strategy

9.1.1 Product Mix Considerations
9.1.2 Pricing Band Strategies
9.1.3 Packaging Options

9.2 Export Entry Strategy

9.2.1 Target Countries
9.2.2 Compliance Roadmap

10. Entry Mode Assessment

10.1 Joint Ventures

10.2 Greenfield Investments

10.3 Mergers & Acquisitions

10.4 Distributor Model


11. Capital and Timeline Estimation

11.1 Capital Requirements

11.2 Timelines for Implementation


12. Control vs Risk Trade-Off

12.1 Ownership vs Partnerships


13. Profitability Outlook

13.1 Breakeven Analysis

13.2 Long-Term Sustainability


14. Potential Partner List

14.1 Distributors

14.2 Joint Ventures

14.3 Acquisition Targets


15. Execution Roadmap

15.1 Phased Plan for Market Entry

15.1.1 Market Setup
15.1.2 Market Entry
15.1.3 Growth Acceleration
15.1.4 Scale & Stabilize

15.2 Key Activities and Milestones

15.2.1 Milestone Planning
15.2.2 Activity Tracking

Research Methodology

ApproachModellingSample

Phase 1: Approach1

Desk Research

  • Analysis of industry reports from healthcare analytics associations and market research firms
  • Review of published white papers and case studies from leading healthcare analytics providers
  • Examination of government healthcare statistics and reports from organizations like WHO and CDC

Primary Research

  • Interviews with healthcare data analysts and IT managers in hospitals and clinics
  • Telephonic surveys with executives from healthcare analytics firms and software providers
  • Field interviews with healthcare professionals utilizing analytics for patient care improvement

Validation & Triangulation

  • Cross-validation of findings through multiple data sources including market reports and expert opinions
  • Triangulation of quantitative data with qualitative insights from industry experts
  • Sanity checks through peer reviews and expert panel discussions

Phase 2: Market Size Estimation1

Top-down Assessment

  • Estimation of market size based on global healthcare expenditure and analytics adoption rates
  • Segmentation by application areas such as predictive analytics, prescriptive analytics, and descriptive analytics
  • Incorporation of trends in telehealth and digital health technologies impacting analytics demand

Bottom-up Modeling

  • Collection of firm-level revenue data from leading healthcare analytics companies
  • Estimation of market share based on product offerings and geographical presence
  • Volume x pricing analysis for various analytics solutions across healthcare sectors

Forecasting & Scenario Analysis

  • Multi-factor regression analysis incorporating factors such as healthcare digitization and regulatory changes
  • Scenario modeling based on varying levels of healthcare investment and technology adoption
  • Baseline, optimistic, and pessimistic forecasts through 2030 based on market dynamics

Phase 3: CATI Sample Composition1

Scope Item/SegmentSample SizeTarget Respondent Profiles
Hospital Analytics Implementation120Chief Information Officers, Data Analysts
Healthcare Provider Analytics Usage100Healthcare Administrators, IT Managers
Insurance Analytics Strategies80Actuaries, Risk Management Officers
Pharmaceutical Data Analytics70Market Research Analysts, Product Managers
Public Health Analytics Trends60Public Health Officials, Epidemiologists

Frequently Asked Questions

What is the current value of the Global Healthcare Analytics Market?

The Global Healthcare Analytics Market is valued at approximately USD 23 billion, driven by the increasing adoption of advanced analytics solutions aimed at improving patient outcomes and operational efficiency within healthcare organizations.

Which regions dominate the Global Healthcare Analytics Market?

What are the key drivers of growth in the healthcare analytics market?

What types of analytics are included in the Global Healthcare Analytics Market?

Other Regional/Country Reports

Indonesia Global Healthcare Analytics Market

Malaysia Global Healthcare Analytics Market

KSA Global Healthcare Analytics Market

APAC Global Healthcare Analytics Market

SEA Global Healthcare Analytics Market

Vietnam Global Healthcare Analytics Market

Why Buy From Us?

Refine Robust Result (RRR) Framework
Refine Robust Result (RRR) Framework

What makes us stand out is that our consultants follow Robust, Refine and Result (RRR) methodology. Robust for clear definitions, approaches and sanity checking, Refine for differentiating respondents' facts and opinions, and Result for presenting data with story.

Our Reach Is Unmatched
Our Reach Is Unmatched

We have set a benchmark in the industry by offering our clients with syndicated and customized market research reports featuring coverage of entire market as well as meticulous research and analyst insights.

Shifting the Research Paradigm
Shifting the Research Paradigm

While we don't replace traditional research, we flip the method upside down. Our dual approach of Top Bottom & Bottom Top ensures quality deliverable by not just verifying company fundamentals but also looking at the sector and macroeconomic factors.

More Insights-Better Decisions
More Insights-Better Decisions

With one step in the future, our research team constantly tries to show you the bigger picture. We help with some of the tough questions you may encounter along the way: How is the industry positioned? Best marketing channel? KPI's of competitors? By aligning every element, we help maximize success.

Transparency and Trust
Transparency and Trust

Our report gives you instant access to the answers and sources that other companies might choose to hide. We elaborate each steps of research methodology we have used and showcase you the sample size to earn your trust.

Round the Clock Support
Round the Clock Support

If you need any support, we are here! We pride ourselves on universe strength, data quality, and quick, friendly, and professional service.

Why Clients Choose Us?

400000+
Reports in repository
150+
Consulting projects a year
100+
Analysts
8000+
Client Queries in 2022