세계의 헬스케어 예측 분석 분야 인공지능(AI) 시장 : 예측(2024-2029년)

Artificial intelligence (AI) in the predictive healthcare analytics market is expected to grow at a CAGR of 41.56%, reaching a market size of US$29.360 billion in 2029 and US$5.165 billion in 2024.

The implementation of Artificial Intelligence (AI) in predictive healthcare analytics is an interesting and growing topic in hospitals and healthcare facilities. In preventive care solutions, predictive analytics, integration of healthcare analytics, and AI utilize the patient's health information, predict health risks to the population in the future, and propose interventions.

Further, artificial intelligence predictive modeling, also known as predictive modeling, is the most extensively utilized form of AI. AI evaluates the integrated data of millions of genetic, phenotypic, and lifestyle electronic health records (EHR) to predict impending disease attacks, possible readmission, and a patient's response to an intervention. This predictive capacity benefits the healthcare system by enabling the service providers to act and design the processes even before any illness appears, which is a cost-effective way of improving the services. The market for AI in predictive healthcare analytics is quite optimistic. It envisions the transformation of healthcare delivery through strategic resolution-making, enhancing prevention, and even the positive development of individualized care treatment.

Artificial intelligence (AI) in the predictive healthcare analytics market drivers?

• Advancements in AI technologies are increasing the Artificial Intelligence (AI) In predictive healthcare analytics market growth.

Progress in the application of AI has been one of the major reasons for AI in the predictive healthcare analytics market growth. This development encompasses many things, most notably machine learning, natural language processing, and computer vision, among others. This progression enables the AI processes to conduct severe and extensive analysis of enormous and complex volumes of medical-related information such as patient history, genome sequencing, and even imagery diagnostics.

It empowers healthcare system stakeholders to predict disease outcomes, analyze risk factors, and customize treatment methodologies, thus changing the decision-making processes in healthcare. The growing precision and performance of AI-based prediction models have led to an increased use of these models by health providers and researchers. There is a possibility of alterations in healthcare analytics, enhancement of the patient's well-being as advocated by the trends, and a commendable shift to preventive and information-based treatments due to the growth in AI technologies.

Artificial intelligence (AI) in the predictive healthcare analytics market - geographical outlook

• North America is witnessing exponential growth during the forecast period

North America was anticipated to retain its market leadership in AI in the predictive healthcare analytics market. This is due to the extensive use and growth of healthcare analytics and predictive modeling AI technology within the United States healthcare system. North America's continued dominance is also ascribed to its well-established healthcare facilities, high investment in AI projects, and presence of prominent health technology corporations.

Moreover, enhanced patient-centered healthcare and precision medicine in the region also increases the use of AI-based predictive analytics to leverage patient outcomes, maximize resource utilization, and elevate healthcare services. The developments in artificial intelligence technology in predictive healthcare are one of the factors that will guarantee that North America will continue to lead in the AI in predictive healthcare analytics market.

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Report Coverage:

• Historical data & forecasts from 2022 to 2029
• Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
• Competitive Positioning, Strategies, and Market Share Analysis
• Revenue Growth and Forecast Assessment of segments and regions including countries
• Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The Artificial Intelligence (AI) In predictive healthcare analytics market is segmented and analyzed as follows:

By Deployment Mode

• Cloud-Based
• On-Premise

By Application

• Patient Risk Stratification
• Disease Diagnosis And Prognosis
• Population Health Management
• Fraud Detection
• Supply Chain Management
• Others

By End-User

• Hospitals And Clinics
• Healthcare Payers
• Pharmaceutical And Biotechnology Companies
• Research Institutes And Academic Centers
• Others

By Geography

• North America
• United States
• Canada
• Mexico
• South America
• Brazil
• Argentina
• Others
• Europe
• United Kingdom
• Germany
• France
• Italy
• Spain
• Others
• Middle East and Africa
• Saudi Arabia
• UAE
• Others
• Asia Pacific
• Japan
• China
• India
• South Korea
• Indonesia
• Taiwan
• 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
• 1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

• 2.1. Research Design
• 2.2. Research Processes

3. EXECUTIVE SUMMARY

• 3.1. Key Findings
• 3.2. CXO Perspective

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
• 4.5. Analyst View

5. ARTIFICIAL INTELLIGENCE (AI) IN PREDICTIVE HEALTHCARE ANALYTICS MARKET BY DEPLOYMENT MODE

• 5.1. Introduction
• 5.2. Cloud-Based
• 5.3. On-Premise

6. ARTIFICIAL INTELLIGENCE (AI) IN PREDICTIVE HEALTHCARE ANALYTICS MARKET BY APPLICATION

• 6.1. Introduction
• 6.2. Patient Risk Stratification
• 6.3. Disease Diagnosis And Prognosis
• 6.4. Population Health Management
• 6.5. Fraud Detection
• 6.6. Supply Chain Management
• 6.7. Others

7. ARTIFICIAL INTELLIGENCE (AI) IN PREDICTIVE HEALTHCARE ANALYTICS MARKET BY END-USER

• 7.1. Introduction
• 7.2. Hospitals And Clinics
• 7.3. Healthcare Payers
• 7.4. Pharmaceutical And Biotechnology Companies
• 7.5. Research Institutes And Academic Centers
• 7.6. Others

8. ARTIFICIAL INTELLIGENCE (AI) IN PREDICTIVE HEALTHCARE ANALYTICS MARKET BY GEOGRAPHY

• 8.1. Introduction
• 8.2. North America
  • 8.2.1. By Deployment Mode
  • 8.2.2. By Application
  • 8.2.3. BY End-User
  • 8.2.4. By Country
    • 8.2.4.1. United States
    • 8.2.4.2. Canada
    • 8.2.4.3. Mexico
• 8.3. South America
  • 8.3.1. By Deployment Mode
  • 8.3.2. By Application
  • 8.3.3. BY End-User
  • 8.3.4. By Country
    • 8.3.4.1. Brazil
    • 8.3.4.2. Argentina
    • 8.3.4.3. Others
• 8.4. Europe
  • 8.4.1. By Deployment Mode
  • 8.4.2. By Application
  • 8.4.3. BY End-User
  • 8.4.4. By Country
    • 8.4.4.1. United Kingdom
    • 8.4.4.2. Germany
    • 8.4.4.3. France
    • 8.4.4.4. Italy
    • 8.4.4.5. Spain
    • 8.4.4.6. Others
• 8.5. Middle East and Africa
  • 8.5.1. By Deployment Mode
  • 8.5.2. By Application
  • 8.5.3. BY End-User
  • 8.5.4. By Country
    • 8.5.4.1. Saudi Arabia
    • 8.5.4.2. UAE
    • 8.5.4.3. Others
• 8.6. Asia Pacific
  • 8.6.1. By Deployment Mode
  • 8.6.2. By Application
  • 8.6.3. BY End-User
  • 8.6.4. By Country
    • 8.6.4.1. Japan
    • 8.6.4.2. China
    • 8.6.4.3. India
    • 8.6.4.4. South Korea
    • 8.6.4.5. Indonesia
    • 8.6.4.6. Taiwan
    • 8.6.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

• 9.1. Major Players and Strategy Analysis
• 9.2. Market Share Analysis
• 9.3. Mergers, Acquisitions, Agreements, and Collaborations
• 9.4. Competitive Dashboard

10. COMPANY PROFILES

• 10.1. Ibm Corporation
• 10.2. Microsoft Corporation
• 10.3. Google Llc (Alphabet Inc.)
• 10.4. Sas Institute Inc.
• 10.5. Oracle Corporation
• 10.6. Cerner Corporation
• 10.7. Allscripts Healthcare Solutions, Inc.
• 10.8. Medeanalytics, Inc.
• 10.9. Ayasdi, Inc.
• 10.10. Health Catalyst, Inc.