임상 데이터 분석 시장 - 예측(2023-2028년)

The clinical data analytics market was valued at US$25.596 billion in 2021 and is projected to expand at a CAGR of 25.74% over the forecast period to reach US$127.220 billion by 2028.

Clinical data analytics is an important phase in clinical research that involves the collection, storage, and analysis of sensitive clinical data to enhance its applicability, thus aiding caregivers in providing preventive and personalized care to the patients, thereby improving the overall quality of patient care. Shifting trends toward digital payment models and the growing popularity of Electronic Medical Records (EMRs) are driving the growth of this market in many regions across the globe. Rising demand for improved and cost-effective healthcare is increasing the demand for clinical data analytics. As the security of digital platforms and channels continues to increase owing to huge amounts being poured into security by major market players, and significant investments continue to stream into the healthcare industry, the adoption of clinical data analytics will continue to gain momentum over the projected period, thus augmenting the growth of this market. Geographically, North America holds a significant market share in the global market on account of favorable government policies and huge investments in big data analytics.

This research study examines the clinical data analytics market based on various segments: product, deployment, end-user, and geography. First, a brief overview of the market details key driving factors and challenges. Next, Porter's five forces model analyzes the Clinical data analytics industry comprehensively. This is followed by industry value chain analysis which determines the companies which are part of the different processes and contributing to various sectors.

The study also presents in-depth information concerning the development, trends, and industry policies and regulations affecting the clinical data analytics market. Moreover, the research study analyzes the overall regulatory framework of the Clinical data analytics sector, offering stakeholders a better understanding of the key factors influencing the overall market environment.

Clinical data analytics market - Forecasts from 2023 to 2028 are a comprehensive and latest report. It provides vital market information to executives and interested stakeholders to enable them to get vital market information. The report also analyzes the competitive landscape and details strategies of key market players and also plots them on our vendor matrix in four quadrants: leader, follower, challenger, and niche.

The scope and coverage of the clinical data analytics market report are as below:

• Clinical data analytics market data tables and charts
• Market outlook with sections on drivers, restraints, Porter's, and industry value chain analysis
• Market assessment by product into software and services.
• Detailed market trends, analysis, and graphical representation by deployment model into on-premise and cloud.
• In-depth analysis of the clinical data analytics market by end-user into pharmaceutical companies, healthcare organizations, research organizations, and government organizations.
• A 360 degree view of the demand for clinical data analytics solutions/services across different geographies (North America, South America, Europe, Middle East and Africa, and Asia Pacific) with further breakdown for key countries within those regions.

Different segments covered under the clinical data analytics market report are as below:

By Product

• Software
• Services

By Deployment Model

• On-Premise
• Cloud

By End-User

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

By Geography

• North America
  • United States
  • Canada
  • Mexico
• South America
  • Brazil
  • Argentina
  • Others
• Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Others
• Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
• Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Thailand
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

• 1.1. Market Overview
• 1.2. Market Definition
• 1.3. Scope of the Study
• 1.4. Market Segmentation
• 1.5. Currency
• 1.6. Assumptions
• 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

• 2.1. Research Data
• 2.2. Research Design
• 2.3. Validation

3. EXECUTIVE SUMMARY

• 3.1. Research Highlights

4. MARKET DYNAMICS

• 4.1. Market Drivers
• 4.2. Market Restraints
• 4.3. Porter's Five Forces Analysis
  • 4.3.1. Bargaining Power of Suppliers
  • 4.3.2. Bargaining Power of Buyers
  • 4.3.3. Threat of New Entrants
  • 4.3.4. Threat of Substitutes
  • 4.3.5. Competitive Rivalry in the Industry
• 4.4. Industry Value Chain Analysis

5. CLINICAL DATA ANALYTICS MARKET BY PRODUCT

• 5.1. Introduction
• 5.2. Software
• 5.3. Services

6. CLINICAL DATA ANALYTICS MARKET BY DEPLOYMENT MODEL

• 6.1. Introduction
• 6.2. On-Premise
• 6.3. Cloud

7. CLINICAL DATA ANALYTICS MARKET BY END-USER

• 7.1. Introduction
• 7.2. Pharmaceutical Companies
• 7.3. Healthcare Organizations
• 7.4. Research Organizations
• 7.5. Government Organizations

8. CLINICAL DATA ANALYTICS MARKET BY GEOGRAPHY

• 8.1. Introduction
• 8.2. North America
  • 8.2.1. United States
  • 8.2.2. Canada
  • 8.2.3. Mexico
• 8.3. South America
  • 8.3.1. Brazil
  • 8.3.2. Argentina
  • 8.3.3. Others
• 8.4. Europe
  • 8.4.1. United Kingdom
  • 8.4.2. Germany
  • 8.4.3. France
  • 8.4.4. Spain
  • 8.4.5. Others
• 8.5. Middle East and Africa
  • 8.5.1. Saudi Arabia
  • 8.5.2. UAE
  • 8.5.3. Israel
  • 8.5.4. Others
• 8.6. Asia Pacific
  • 8.6.1. Japan
  • 8.6.2. China
  • 8.6.3. India
  • 8.6.4. South Korea
  • 8.6.5. Indonesia
  • 8.6.6. Thailand
  • 8.6.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

• 9.1. Major Players and Strategy Analysis
• 9.2. Emerging Players and Market Lucrativeness
• 9.3. Mergers, Acquisitions, Agreements, and Collaborations
• 9.4. Vendor Competitiveness Matrix

10. COMPANY PROFILES

• 10.1. McKesson Corporation
• 10.2. Optum, Inc.
• 10.3. IBM
• 10.4. Oracle
• 10.5. SAS Institute, Inc.
• 10.6. IQVIA
• 10.7. Elsevier
• 10.8. Allscripts Healthcare Solutions, Inc.
• 10.9. Medical Information Technology Inc.
• 10.10. CareCloud Corporation