임상 데이터 분석 시장 보고서 : 솔루션, 배포 모드, 용도, 최종사용자, 지역별(2025-2033년)

The global clinical data analytics market size reached USD 26.3 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 311.8 Billion by 2033, exhibiting a growth rate (CAGR) of 30.02% during 2025-2033.

Clinical data analytics transforms structured and unstructured medical data into a single, standardized ecosystem in real-time. It relies on sophisticated machine learning (ML) analysis to generate predictive and hidden insights. It assists healthcare providers in making informed decisions, providing clinical decision support, improving population health, enhancing care coordination, and improving patient wellness. As a result, it is widely adopted by health organizations across the globe to retrieve data concerning different aspects of health system performance, such as patient outcomes, population health, and clinical quality. Besides this, it can help reduce medication errors, minimize administrative costs, and increase revenues.

Clinical Data Analytics Market Trends:

The increasing usage of electronic health records (EHRs) on account of rapid digitization in healthcare management has led to vast amounts of clinical data. This represents one of the key factors driving the need for clinical data analytics to streamline information and minimize human errors. This can also be attributed to the increasing application of EHR solutions in improving patient care coordination and accessing information in real-time due to a significant impact of coronavirus disease (COVID-19) on healthcare infrastructure worldwide. Apart from this, the emergence of m-health apps, in confluence with the increasing emphasis on high-quality personalized care in hospitals, is contributing to the market growth. Moreover, several health organizations are integrating clinical data analytics to address the challenges of changing governmental regulations while lowering healthcare costs and improving the overall quality of patient care. Besides this, rising investments in clinical studies of new drugs due to the growing prevalence of chronic diseases are anticipated to positively influence the demand for clinical data analytics across the globe.

Key Market Segmentation:

Breakup by Solution:

• Software
• Services

Breakup by Deployment Mode:

• Cloud-based
• On-premises

Breakup by Application:

• Quality Improvement and Clinical Benchmarking
• Clinical Decision Support
• Regulatory Reporting and Compliance
• Comparative Analytics
• Precision Health

Breakup by End User:

• Pharmaceutical Companies
• Healthcare Organizations
• Research Organizations
• Government Organizations

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 competitive landscape of the industry has also been examined along with the profiles of the key players being Allscripts Healthcare Solutions Inc., CareEvolution LLC, Cerner Corporation, Health Catalyst, International Business Machines Corporation, InterSystems Corporation, Koninklijke Philips N.V., Medeanalytics Inc., Sisense Inc., UnitedHealth Group Incorporated and Xerox Holdings Corporation.

Key Questions Answered in This Report

• 1.What was the size of the global clinical data analytics market in 2024?
• 2.What is the expected growth rate of the global clinical data analytics market during 2025-2033?
• 3.What has been the impact of COVID-19 on the global clinical data analytics market?
• 4.What are the key factors driving the global clinical data analytics market?
• 5.What is the breakup of the global clinical data analytics market based on the solution?
• 6.What is the breakup of the global clinical data analytics market based on the deployment mode?
• 7.What is the breakup of the global clinical data analytics market based on the application?
• 8.What is the breakup of the global clinical data analytics market based on the end user?
• 9.What are the key regions in the global clinical data analytics market?
• 10.Who are the key players/companies in the global clinical data 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 Clinical Data Analytics Market

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

6 Market Breakup by Solution

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

7 Market Breakup by Deployment Mode

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

8 Market Breakup by Application

• 8.1 Quality Improvement and Clinical Benchmarking
  • 8.1.1 Market Trends
  • 8.1.2 Market Forecast
• 8.2 Clinical Decision Support
  • 8.2.1 Market Trends
  • 8.2.2 Market Forecast
• 8.3 Regulatory Reporting and Compliance
  • 8.3.1 Market Trends
  • 8.3.2 Market Forecast
• 8.4 Comparative Analytics
  • 8.4.1 Market Trends
  • 8.4.2 Market Forecast
• 8.5 Precision Health
  • 8.5.1 Market Trends
  • 8.5.2 Market Forecast

9 Market Breakup by End User

• 9.1 Pharmaceutical Companies
  • 9.1.1 Market Trends
  • 9.1.2 Market Forecast
• 9.2 Healthcare Organizations
  • 9.2.1 Market Trends
  • 9.2.2 Market Forecast
• 9.3 Research Organizations
  • 9.3.1 Market Trends
  • 9.3.2 Market Forecast
• 9.4 Government Organizations
  • 9.4.1 Market Trends
  • 9.4.2 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 Allscripts Healthcare Solutions 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 CareEvolution LLC
    • 15.3.2.1 Company Overview
    • 15.3.2.2 Product Portfolio
  • 15.3.3 Cerner Corporation
    • 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 Health Catalyst
    • 15.3.4.1 Company Overview
    • 15.3.4.2 Product Portfolio
    • 15.3.4.3 Financials
  • 15.3.5 International Business Machines Corporation
    • 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 InterSystems Corporation
    • 15.3.6.1 Company Overview
    • 15.3.6.2 Product Portfolio
    • 15.3.6.3 SWOT Analysis
  • 15.3.7 Koninklijke Philips N.V.
    • 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 Medeanalytics Inc.
    • 15.3.8.1 Company Overview
    • 15.3.8.2 Product Portfolio
  • 15.3.9 Sisense Inc.
    • 15.3.9.1 Company Overview
    • 15.3.9.2 Product Portfolio
  • 15.3.10 UnitedHealth Group Incorporated
    • 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 Xerox Holdings Corporation
    • 15.3.11.1 Company Overview
    • 15.3.11.2 Product Portfolio
    • 15.3.11.3 Financials
    • 15.3.11.4 SWOT Analysis