의료 예측 분석 시장 보고서 : 제품별, 도입 형태별, 용도별, 최종사용자별, 지역별(2026-2034년)

The global healthcare predictive analytics market size reached USD 13.3 Billion in 2025. Looking forward, IMARC Group expects the market to reach USD 57.7 Billion by 2034, exhibiting a growth rate (CAGR) of 17.13% during 2026-2034.

Healthcare predictive analytics refers to advanced software that automatically analyzes data to improve the overall patient outcomes and provides more effective care. It is widely used for remote monitoring, diagnosis, treatment course design, prognosis, clinical decision support, care quality improvement, and care cost reduction purposes. It can store large amounts of data, predict a patient's response and provide a more personalized healthcare experience. Healthcare predictive analytics aids in improving patient healthcare, easing patient diagnosis, detecting patients at higher risks, gaining better insights and enabling healthcare practitioners to make well-informed decisions. Furthermore, the software functions are based on the patient's environment, risk factors, genetics and medical history.

HEALTHCARE PREDICTIVE ANALYTICS MARKET TRENDS:

The significant growth in the healthcare industry across the globe is creating a positive outlook for the market. Healthcare predictive analytics is widely adopted to improve efficiency in clinical operations and health outcomes through enhanced care and patient engagement. In line with this, the increasing adoption of electronic health record (EHR) systems to help in the management of patient outcomes and provide accurate, up-to-date, and complete information is favoring the market growth. Apart from this, various advancements in technology, such as the integration of the internet of things (IoT) and big data that assists in collecting patient records and test results, analyzing disease patterns, and increasing patient comfort and convenience, are providing an impetus to the market growth. Additionally, the extensive utilization of the software by healthcare payers due to its cost-effectiveness, reduced number of unnecessary tests, fraud detection and improved decision-making is positively impacting the market growth. Other factors, including the increasing geriatric population prone to chronic diseases, significant improvements in healthcare infrastructure, and the implementation of various government initiatives on improving population health management , are anticipated to drive the market further toward growth.

KEY MARKET SEGMENTATION:

Breakup by Product:

• Hardware
• Software and Services

Breakup by Deployment Mode:

• On-premises
• Cloud-based

Breakup by Application:

• Clinical Data Analytics
• Financial Data Analytics
• Research Data Analytics
• Operations Management
• Others

Breakup by End User:

• Healthcare Payer
• Healthcare Provider
• Others

Breakup by Region:

• North America
  • United States
  • Canada
• Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
• Latin America
  • Brazil
  • Mexico
  • Others
• Middle East and Africa

COMPETITIVE LANDSCAPE:

The report provides a comprehensive analysis of the competitive landscape in the global healthcare predictive analytics market with detailed profiles of all major companies, including:

• Cloudera, Inc.
• Health Catalyst
• IQVIA Inc.
• MedeAnalytics
• Merative
• Microsoft Corporation
• Optum, Inc.
• Oracle Corporation
• SAS Institute Inc.
• Veradigm LLC
• Verisk Analytics, Inc.

KEY QUESTIONS ANSWERED IN THIS REPORT

1. What was the size of the global healthcare predictive analytics market in 2025?

2. What is the expected growth rate of the global healthcare predictive analytics market during 2026-2034?

3. What has been the impact of COVID-19 on the global healthcare predictive analytics market?

4. What are the key factors driving the global healthcare predictive analytics market?

5. What is the breakup of the global healthcare predictive analytics market based on the product?

6. What is the breakup of the global healthcare predictive analytics market based on the deployment mode?

7. What is the breakup of the global healthcare predictive analytics market based on the application?

8. What is the breakup of the global healthcare predictive analytics market based on the end user?

9. What are the key regions in the global healthcare predictive analytics market?

10. Who are the key players/companies in the global healthcare predictive analytics market?

Table of Contents

1 Preface

2 Scope and Methodology

• 2.1 Objectives of the Study
• 2.2 Stakeholders
• 2.3 Data Sources
  • 2.3.1 Primary Sources
  • 2.3.2 Secondary Sources
• 2.4 Market Estimation
  • 2.4.1 Bottom-Up Approach
  • 2.4.2 Top-Down Approach
• 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

• 4.1 Overview
• 4.2 Key Industry Trends

5 Global Healthcare Predictive Analytics Market

• 5.1 Market Overview
• 5.2 Market Performance
• 5.3 Impact of COVID-19
• 5.4 Market Forecast

6 Market Breakup by Product

• 6.1 Hardware
  • 6.1.1 Market Trends
  • 6.1.2 Market Forecast
• 6.2 Software and Services
  • 6.2.1 Market Trends
  • 6.2.2 Market Forecast

7 Market Breakup by Deployment Mode

• 7.1 On-premises
  • 7.1.1 Market Trends
  • 7.1.2 Market Forecast
• 7.2 Cloud-based
  • 7.2.1 Market Trends
  • 7.2.2 Market Forecast

8 Market Breakup by Application

• 8.1 Clinical Data Analytics
  • 8.1.1 Market Trends
  • 8.1.2 Market Forecast
• 8.2 Financial Data Analytics
  • 8.2.1 Market Trends
  • 8.2.2 Market Forecast
• 8.3 Research Data Analytics
  • 8.3.1 Market Trends
  • 8.3.2 Market Forecast
• 8.4 Operations Management
  • 8.4.1 Market Trends
  • 8.4.2 Market Forecast
• 8.5 Others
  • 8.5.1 Market Trends
  • 8.5.2 Market Forecast

9 Market Breakup by End User

• 9.1 Healthcare Payer
  • 9.1.1 Market Trends
  • 9.1.2 Market Forecast
• 9.2 Healthcare Provider
  • 9.2.1 Market Trends
  • 9.2.2 Market Forecast
• 9.3 Others
  • 9.3.1 Market Trends
  • 9.3.2 Market Forecast

10 Market Breakup by Region

• 10.1 North America
  • 10.1.1 United States
    • 10.1.1.1 Market Trends
    • 10.1.1.2 Market Forecast
  • 10.1.2 Canada
    • 10.1.2.1 Market Trends
    • 10.1.2.2 Market Forecast
• 10.2 Asia-Pacific
  • 10.2.1 China
    • 10.2.1.1 Market Trends
    • 10.2.1.2 Market Forecast
  • 10.2.2 Japan
    • 10.2.2.1 Market Trends
    • 10.2.2.2 Market Forecast
  • 10.2.3 India
    • 10.2.3.1 Market Trends
    • 10.2.3.2 Market Forecast
  • 10.2.4 South Korea
    • 10.2.4.1 Market Trends
    • 10.2.4.2 Market Forecast
  • 10.2.5 Australia
    • 10.2.5.1 Market Trends
    • 10.2.5.2 Market Forecast
  • 10.2.6 Indonesia
    • 10.2.6.1 Market Trends
    • 10.2.6.2 Market Forecast
  • 10.2.7 Others
    • 10.2.7.1 Market Trends
    • 10.2.7.2 Market Forecast
• 10.3 Europe
  • 10.3.1 Germany
    • 10.3.1.1 Market Trends
    • 10.3.1.2 Market Forecast
  • 10.3.2 France
    • 10.3.2.1 Market Trends
    • 10.3.2.2 Market Forecast
  • 10.3.3 United Kingdom
    • 10.3.3.1 Market Trends
    • 10.3.3.2 Market Forecast
  • 10.3.4 Italy
    • 10.3.4.1 Market Trends
    • 10.3.4.2 Market Forecast
  • 10.3.5 Spain
    • 10.3.5.1 Market Trends
    • 10.3.5.2 Market Forecast
  • 10.3.6 Russia
    • 10.3.6.1 Market Trends
    • 10.3.6.2 Market Forecast
  • 10.3.7 Others
    • 10.3.7.1 Market Trends
    • 10.3.7.2 Market Forecast
• 10.4 Latin America
  • 10.4.1 Brazil
    • 10.4.1.1 Market Trends
    • 10.4.1.2 Market Forecast
  • 10.4.2 Mexico
    • 10.4.2.1 Market Trends
    • 10.4.2.2 Market Forecast
  • 10.4.3 Others
    • 10.4.3.1 Market Trends
    • 10.4.3.2 Market Forecast
• 10.5 Middle East and Africa
  • 10.5.1 Market Trends
  • 10.5.2 Market Breakup by Country
  • 10.5.3 Market Forecast

11 SWOT Analysis

• 11.1 Overview
• 11.2 Strengths
• 11.3 Weaknesses
• 11.4 Opportunities
• 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

• 13.1 Overview
• 13.2 Bargaining Power of Buyers
• 13.3 Bargaining Power of Suppliers
• 13.4 Degree of Competition
• 13.5 Threat of New Entrants
• 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

• 15.1 Market Structure
• 15.2 Key Players
• 15.3 Profiles of Key Players
  • 15.3.1 Cloudera, Inc.
    • 15.3.1.1 Company Overview
    • 15.3.1.2 Product Portfolio
    • 15.3.1.3 Financials
    • 15.3.1.4 SWOT Analysis
  • 15.3.2 Health Catalyst
    • 15.3.2.1 Company Overview
    • 15.3.2.2 Product Portfolio
    • 15.3.2.3 Financials
    • 15.3.2.4 SWOT Analysis
  • 15.3.3 IQVIA Inc.
    • 15.3.3.1 Company Overview
    • 15.3.3.2 Product Portfolio
    • 15.3.3.3 Financials
    • 15.3.3.4 SWOT Analysis
  • 15.3.4 MedeAnalytics
    • 15.3.4.1 Company Overview
    • 15.3.4.2 Product Portfolio
  • 15.3.5 Merative
    • 15.3.5.1 Company Overview
    • 15.3.5.2 Product Portfolio
    • 15.3.5.3 Financials
    • 15.3.5.4 SWOT Analysis
  • 15.3.6 Microsoft Corporation
    • 15.3.6.1 Company Overview
    • 15.3.6.2 Product Portfolio
    • 15.3.6.3 Financials
    • 15.3.6.4 SWOT Analysis
  • 15.3.7 Optum, Inc.
    • 15.3.7.1 Company Overview
    • 15.3.7.2 Product Portfolio
    • 15.3.7.3 Financials
    • 15.3.7.4 SWOT Analysis
  • 15.3.8 Oracle Corporation
    • 15.3.8.1 Company Overview
    • 15.3.8.2 Product Portfolio
    • 15.3.8.3 Financials
    • 15.3.8.4 SWOT Analysis
  • 15.3.9 SAS Institute Inc.
    • 15.3.9.1 Company Overview
    • 15.3.9.2 Product Portfolio
    • 15.3.9.3 SWOT Analysis
  • 15.3.10 Veradigm LLC
    • 15.3.10.1 Company Overview
    • 15.3.10.2 Product Portfolio
    • 15.3.10.3 Financials
    • 15.3.10.4 SWOT Analysis
  • 15.3.11 Verisk Analytics, Inc.
    • 15.3.11.1 Company Overview
    • 15.3.11.2 Product Portfolio
    • 15.3.11.3 Financials
    • 15.3.11.4 SWOT Analysis