Predictive Disease Analytics Market Size, Share, and Trends 2026 to 2035

Predictive Disease Analytics Market (By Component: Software & Services, Hardware; By Deployment: On-premises, Cloud-based; By End Users: Healthcare Payers, Healthcare Providers, Other) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 31 Dec 2025  |  Report Code : 3320  |  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 (Premium Insights)

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 Predictive Disease Analytics Market 

5.1. COVID-19 Landscape: Predictive Disease Analytics 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 Predictive Disease Analytics Market, By Component

8.1. Predictive Disease Analytics Market, by Component

8.1.1 Software & Services

8.1.1.1. Market Revenue and Forecast

8.1.2. Hardware

8.1.2.1. Market Revenue and Forecast

Chapter 9. Global Predictive Disease Analytics Market, By Deployment

9.1. Predictive Disease Analytics Market, by Deployment

9.1.1. On-premises

9.1.1.1. Market Revenue and Forecast

9.1.2. Cloud-based

9.1.2.1. Market Revenue and Forecast

Chapter 10. Global Predictive Disease Analytics Market, By End Users 

10.1. Predictive Disease Analytics Market, by End Users

10.1.1. Healthcare Payers

10.1.1.1. Market Revenue and Forecast

10.1.2. Healthcare Providers

10.1.2.1. Market Revenue and Forecast

10.1.3. Other

10.1.3.1. Market Revenue and Forecast

Chapter 11. Global Predictive Disease Analytics Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Component

11.1.2. Market Revenue and Forecast, by Deployment

11.1.3. Market Revenue and Forecast, by End Users

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Component

11.1.4.2. Market Revenue and Forecast, by Deployment

11.1.4.3. Market Revenue and Forecast, by End Users

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Component

11.1.5.2. Market Revenue and Forecast, by Deployment

11.1.5.3. Market Revenue and Forecast, by End Users

11.2. Europe

11.2.1. Market Revenue and Forecast, by Component

11.2.2. Market Revenue and Forecast, by Deployment

11.2.3. Market Revenue and Forecast, by End Users

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Component

11.2.4.2. Market Revenue and Forecast, by Deployment

11.2.4.3. Market Revenue and Forecast, by End Users

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Component

11.2.5.2. Market Revenue and Forecast, by Deployment

11.2.5.3. Market Revenue and Forecast, by End Users

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Component

11.2.6.2. Market Revenue and Forecast, by Deployment

11.2.6.3. Market Revenue and Forecast, by End Users

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Component

11.2.7.2. Market Revenue and Forecast, by Deployment

11.2.7.3. Market Revenue and Forecast, by End Users

11.3. APAC

11.3.1. Market Revenue and Forecast, by Component

11.3.2. Market Revenue and Forecast, by Deployment

11.3.3. Market Revenue and Forecast, by End Users

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Component

11.3.4.2. Market Revenue and Forecast, by Deployment

11.3.4.3. Market Revenue and Forecast, by End Users

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Component

11.3.5.2. Market Revenue and Forecast, by Deployment

11.3.5.3. Market Revenue and Forecast, by End Users

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Component

11.3.6.2. Market Revenue and Forecast, by Deployment

11.3.6.3. Market Revenue and Forecast, by End Users

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Component

11.3.7.2. Market Revenue and Forecast, by Deployment

11.3.7.3. Market Revenue and Forecast, by End Users

11.4. MEA

11.4.1. Market Revenue and Forecast, by Component

11.4.2. Market Revenue and Forecast, by Deployment

11.4.3. Market Revenue and Forecast, by End Users

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Component

11.4.4.2. Market Revenue and Forecast, by Deployment

11.4.4.3. Market Revenue and Forecast, by End Users

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Component

11.4.5.2. Market Revenue and Forecast, by Deployment

11.4.5.3. Market Revenue and Forecast, by End Users

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Component

11.4.6.2. Market Revenue and Forecast, by Deployment

11.4.6.3. Market Revenue and Forecast, by End Users

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Component

11.4.7.2. Market Revenue and Forecast, by Deployment

11.4.7.3. Market Revenue and Forecast, by End Users

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Component

11.5.2. Market Revenue and Forecast, by Deployment

11.5.3. Market Revenue and Forecast, by End Users

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Component

11.5.4.2. Market Revenue and Forecast, by Deployment

11.5.4.3. Market Revenue and Forecast, by End Users

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Component

11.5.5.2. Market Revenue and Forecast, by Deployment

11.5.5.3. Market Revenue and Forecast, by End Users

Chapter 12. Company Profiles

12.1. IBM Corporation

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. SAS Institute Inc.

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Optum, Inc. (a subsidiary of UnitedHealth Group)

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Cerner Corporation

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. McKesson Corporation

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Allscripts Healthcare Solutions, Inc.

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Oracle Corporation

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Microsoft Corporation

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Health Catalyst, LLC

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. Epic Systems Corporation

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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Frequently Asked Questions

Answer : The global predictive disease analytics market size is expected to increase USD 23.08 billion by 2035 from USD 4.97 billion in 2025.

Answer : The global predictive disease analytics market will register growth rate of 16.6% between 2026 and 2035.

Answer : The major players operating in the predictive disease analytics market are IBM Corporation, SAS Institute Inc., Optum, Inc. (a subsidiary of UnitedHealth Group), Cerner Corporation, McKesson Corporation, Allscripts Healthcare Solutions, Inc., Oracle Corporation, Microsoft Corporation, Health Catalyst, LLC, Epic Systems Corporation, Inovalon Holdings, Inc., MedeAnalytics, Inc., IBM Watson Health, RapidMiner, Inc., Linguamatics, and Others.

Answer : The driving factors of the predictive disease analytics market are the advancements in AI, machine learning, and early disease detection and rise of telemedicine and remote patient monitoring.

Answer : North America region will lead the global predictive disease analytics market during the forecast period 2026 to 2035.

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