Big Data Analytics in Healthcare Market Size, Share, and Trends 2025 to 2034

The global big data analytics in healthcare market is projected to grow from USD 67.32 billion in 2025 to USD 327.57 billion by 2034, expanding at a strong CAGR of 19.21% during the forecast period. Growth is driven by the increasing adoption of electronic health records, rising demand for personalized medicine, advancements in AI and predictive analytics, and expanding telehealth services.

Last Updated : August 2025  |  Report Code : 5076  |  Category : ICT  |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Big Data Analytics in Healthcare Market 

5.1. COVID-19 Landscape: Big Data Analytics in Healthcare Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Big Data Analytics in Healthcare Market, By Spender

8.1. Big Data Analytics in Healthcare Market, by Spender

8.1.1. Healthcare Provider

8.1.1.1. Market Revenue and Forecast

8.1.2. Healthcare Payer

Chapter 9. Global Big Data Analytics in Healthcare Market, By Tool

9.1. Big Data Analytics in Healthcare Market, by Tool

9.1.1. Financial Analytics

9.1.1.1. Market Revenue and Forecast

9.1.2. Data Warehouse Analytics

9.1.2.1. Market Revenue and Forecast

9.1.3. CRM Analytics

9.1.3.1. Market Revenue and Forecast

9.1.4. Production Reporting

9.1.4.1. Market Revenue and Forecast

9.1.5. Visual Analytics

9.1.5.1. Market Revenue and Forecast

9.1.6. Predictive Analytics

9.1.6.1. Market Revenue and Forecast

9.1.7. Supply Chain Analytics

9.1.7.1. Market Revenue and Forecast

9.1.8. Risk Management Analytics

9.1.8.1. Market Revenue and Forecast

9.1.9. Test Analytics

9.1.9.1. Market Revenue and Forecast

9.1.10. Others

9.1.10.1. Market Revenue and Forecast

Chapter 10. Global Big Data Analytics in Healthcare Market, By Application 

10.1. Big Data Analytics in Healthcare Market, by Application

10.1.1. Access Clinical Information

10.1.1.1. Market Revenue and Forecast

10.1.2. Access Transactional Data

10.1.2.1. Market Revenue and Forecast

10.1.3. Access Operational Information

10.1.3.1. Market Revenue and Forecast

10.1.4. Others

10.1.4.1. Market Revenue and Forecast

Chapter 11. Global Big Data Analytics in Healthcare Market, By Deployment 

11.1. Big Data Analytics in Healthcare Market, by Deployment

11.1.1. On-premises

11.1.1.1. Market Revenue and Forecast

11.1.2. Cloud-based

Chapter 12. Global Big Data Analytics in Healthcare Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Spender

12.1.2. Market Revenue and Forecast, by Tool

12.1.3. Market Revenue and Forecast, by Application

12.1.4. Market Revenue and Forecast, by Deployment

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Spender

12.1.5.2. Market Revenue and Forecast, by Tool

12.1.5.3. Market Revenue and Forecast, by Application

12.1.5.4. Market Revenue and Forecast, by Deployment

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Spender

12.1.6.2. Market Revenue and Forecast, by Tool

12.1.6.3. Market Revenue and Forecast, by Application

12.1.6.4. Market Revenue and Forecast, by Deployment

12.2. Europe

12.2.1. Market Revenue and Forecast, by Spender

12.2.2. Market Revenue and Forecast, by Tool

12.2.3. Market Revenue and Forecast, by Application

12.2.4. Market Revenue and Forecast, by Deployment

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Spender

12.2.5.2. Market Revenue and Forecast, by Tool

12.2.5.3. Market Revenue and Forecast, by Application

12.2.5.4. Market Revenue and Forecast, by Deployment

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Spender

12.2.6.2. Market Revenue and Forecast, by Tool

12.2.6.3. Market Revenue and Forecast, by Application

12.2.6.4. Market Revenue and Forecast, by Deployment

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Spender

12.2.7.2. Market Revenue and Forecast, by Tool

12.2.7.3. Market Revenue and Forecast, by Application

12.2.7.4. Market Revenue and Forecast, by Deployment

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Spender

12.2.8.2. Market Revenue and Forecast, by Tool

12.2.8.3. Market Revenue and Forecast, by Application

12.2.8.4. Market Revenue and Forecast, by Deployment

12.3. APAC

12.3.1. Market Revenue and Forecast, by Spender

12.3.2. Market Revenue and Forecast, by Tool

12.3.3. Market Revenue and Forecast, by Application

12.3.4. Market Revenue and Forecast, by Deployment

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Spender

12.3.5.2. Market Revenue and Forecast, by Tool

12.3.5.3. Market Revenue and Forecast, by Application

12.3.5.4. Market Revenue and Forecast, by Deployment

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Spender

12.3.6.2. Market Revenue and Forecast, by Tool

12.3.6.3. Market Revenue and Forecast, by Application

12.3.6.4. Market Revenue and Forecast, by Deployment

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Spender

12.3.7.2. Market Revenue and Forecast, by Tool

12.3.7.3. Market Revenue and Forecast, by Application

12.3.7.4. Market Revenue and Forecast, by Deployment

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Spender

12.3.8.2. Market Revenue and Forecast, by Tool

12.3.8.3. Market Revenue and Forecast, by Application

12.3.8.4. Market Revenue and Forecast, by Deployment

12.4. MEA

12.4.1. Market Revenue and Forecast, by Spender

12.4.2. Market Revenue and Forecast, by Tool

12.4.3. Market Revenue and Forecast, by Application

12.4.4. Market Revenue and Forecast, by Deployment

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Spender

12.4.5.2. Market Revenue and Forecast, by Tool

12.4.5.3. Market Revenue and Forecast, by Application

12.4.5.4. Market Revenue and Forecast, by Deployment

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Spender

12.4.6.2. Market Revenue and Forecast, by Tool

12.4.6.3. Market Revenue and Forecast, by Application

12.4.6.4. Market Revenue and Forecast, by Deployment

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Spender

12.4.7.2. Market Revenue and Forecast, by Tool

12.4.7.3. Market Revenue and Forecast, by Application

12.4.7.4. Market Revenue and Forecast, by Deployment

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Spender

12.4.8.2. Market Revenue and Forecast, by Tool

12.4.8.3. Market Revenue and Forecast, by Application

12.4.8.4. Market Revenue and Forecast, by Deployment

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Spender

12.5.2. Market Revenue and Forecast, by Tool

12.5.3. Market Revenue and Forecast, by Application

12.5.4. Market Revenue and Forecast, by Deployment

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Spender

12.5.5.2. Market Revenue and Forecast, by Tool

12.5.5.3. Market Revenue and Forecast, by Application

12.5.5.4. Market Revenue and Forecast, by Deployment

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Spender

12.5.6.2. Market Revenue and Forecast, by Tool

12.5.6.3. Market Revenue and Forecast, by Application

12.5.6.4. Market Revenue and Forecast, by Deployment

Chapter 13. Company Profiles

13.1. Allscripts Healthcare Solutions

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Alteryx

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Cisco Systems Inc.

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Denodo Technologies Inc.

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. IBM Corporation

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Infosys

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. McKesson

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. MedeAnalytics

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Microsoft Corp

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. OptumHealth Care Solutions

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

The global big data analytics in healthcare market size is expected to increase USD 327.57 billion by 2034 from USD 56.47 billion in 2024.

The big data analytics in healthcare market is anticipated to grow at a CAGR of over 19.21% between 2025 and 2034.

The major players operating in the big data analytics in healthcare market are Allscripts Healthcare Solutions, Alteryx, Cisco Systems Inc., Denodo Technologies Inc., IBM Corporation, Infosys, McKesson, MedeAnalytics, Microsoft Corp, OptumHealth Care Solutions, Oracle Corp, SAP SE, SAS Institute, Swedish Health Services, Verisk Analytics, Zephyr Health, and Others.

The driving factors of the big data analytics in healthcare market are the growing implementation of electronic health records and rising demand for personalized medicine.

North America region will lead the global big data analytics in healthcare market during the forecast period 2025 to 2034.

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