세계의 의료 분야 생성형 AI 시장 규모 조사 : 용도별, 최종 사용자별, 지역별 예측(2022-2032년)

Global Generative AI in Healthcare Market, valued at approximately USD 2.16 billion in 2023, is anticipated to grow with an impressive CAGR of 34.98% over the forecast period 2024-2032. Generative artificial intelligence (AI) in healthcare represents a frontier of innovation, utilizing advanced deep learning algorithms to produce valuable outputs such as medical images, textual summaries, and novel drug compounds. This technology has shown transformative potential in enhancing patient care, accelerating research, and streamlining operational efficiencies. In particular, generative AI excels in natural language processing, assisting healthcare professionals by summarizing and interpreting extensive clinical literature, thereby keeping them abreast of the latest research developments. Additionally, AI-driven drug discovery has revolutionized the identification of potential pharmaceutical compounds, significantly reducing the timeline for developing new treatments and therapies.

The Global Generative AI in Healthcare Market is driven by burgeoning adoption of generative AI technology for medical image analysis and its integral role in drug discovery and development are pivotal drivers of market growth. This advanced technology leverages sophisticated algorithms and machine learning models to generate high-quality medical images, enhance image resolution, and assist in the early detection and diagnosis of various medical conditions. The ability of generative AI to improve the accuracy and efficiency of medical image analysis is transforming diagnostic practices, enabling healthcare professionals to make more informed decisions and provide better patient care. Additionally, the integration of generative AI in healthcare is fostering innovations in personalized medicine, predictive analytics, and treatment planning, further propelling market expansion. Furthermore, the deployment of generative AI in hospital workflow management systems is poised to enhance market expansion. However, challenges related to data privacy and security present significant obstacles to the widespread implementation of generative AI in healthcare.

The key regions considered for Global Generative AI in Healthcare Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, North America dominated the market share, attributed to its robust healthcare infrastructure and the strong presence of key industry players. Furthermore, the Asia-Pacific region is projected to witness the fastest growth during the forecast period, driven by favorable government initiatives and a large patient population base.

Major market players featured in this report include

Syntegra

Microsoft

Abridge AI Inc.

Google LLC

IBM Watson Health Corporation

InSilico Medicine

NVIDIA Corporation

Amazon

Oracle

Open AI Inc

The detailed segments and sub-segment of the market are explained below:

By Application

• Treatment
• Diagnosis
• Drug Discovery
• Research

By End User

• Hospitals and Clinics
• Healthcare Organizations
• Others

By Region:

• North America
• U.S.
• Canada
• Europe
• UK
• Germany
• France
• Spain
• Italy
• ROE
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• RoAPAC
• Latin America
• Brazil
• Mexico
• RoLA
• Middle East & Africa
• Saudi Arabia
• South Africa
• RoMEA

Years considered for the study are as follows:

• Historical year - 2022
• Base year - 2023
• Forecast period - 2024 to 2032

Key Takeaways:

• Market Estimates & Forecast for 10 years from 2022 to 2032.
• Annualized revenues and regional level analysis for each market segment.
• Detailed analysis of geographical landscape with Country level analysis of major regions.
• Competitive landscape with information on major players in the market.
• Analysis of key business strategies and recommendations on future market approach.
• Analysis of competitive structure of the market.
• Demand side and supply side analysis of the market

Table of Contents

Chapter 1. Global Generative AI in Healthcare Market Executive Summary

• 1.1. Global Generative AI in Healthcare Market Size & Forecast (2022-2032)
• 1.2. Regional Summary
• 1.3. Segmental Summary
  • 1.3.1. By Application
  • 1.3.2. By End User
• 1.4. Key Trends
• 1.5. Recession Impact
• 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Generative AI in Healthcare Market Definition and Research Assumptions

• 2.1. Research Objective
• 2.2. Market Definition
• 2.3. Research Assumptions
  • 2.3.1. Inclusion & Exclusion
  • 2.3.2. Limitations
  • 2.3.3. Supply Side Analysis
    • 2.3.3.1. Availability
    • 2.3.3.2. Infrastructure
    • 2.3.3.3. Regulatory Environment
    • 2.3.3.4. Market Competition
    • 2.3.3.5. Economic Viability (Consumer's Perspective)
  • 2.3.4. Demand Side Analysis
    • 2.3.4.1. Regulatory frameworks
    • 2.3.4.2. Technological Advancements
    • 2.3.4.3. Environmental Considerations
    • 2.3.4.4. Consumer Awareness & Acceptance
• 2.4. Estimation Methodology
• 2.5. Years Considered for the Study
• 2.6. Currency Conversion Rates

Chapter 3. Global Generative AI in Healthcare Market Dynamics

• 3.1. Market Drivers
  • 3.1.1. Increasing adoption of AI for medical image analysis
  • 3.1.2. Rise in AI-driven drug discovery processes
  • 3.1.3. Enhanced hospital workflow management through AI
• 3.2. Market Challenges
  • 3.2.1. Data privacy and security concerns
  • 3.2.2. High implementation costs
• 3.3. Market Opportunities
  • 3.3.1. Growing investments in AI research
  • 3.3.2. Expansion in emerging markets
  • 3.3.3. Technological advancements in AI

Chapter 4. Global Generative AI in Healthcare Market Industry Analysis

• 4.1. Porter's 5 Force Model
  • 4.1.1. Bargaining Power of Suppliers
  • 4.1.2. Bargaining Power of Buyers
  • 4.1.3. Threat of New Entrants
  • 4.1.4. Threat of Substitutes
  • 4.1.5. Competitive Rivalry
  • 4.1.6. Futuristic Approach to Porter's 5 Force Model
  • 4.1.7. Porter's 5 Force Impact Analysis
• 4.2. PESTEL Analysis
  • 4.2.1. Political
  • 4.2.2. Economical
  • 4.2.3. Social
  • 4.2.4. Technological
  • 4.2.5. Environmental
  • 4.2.6. Legal
• 4.3. Top investment opportunity
• 4.4. Top winning strategies
• 4.5. Disruptive Trends
• 4.6. Industry Expert Perspective
• 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Generative AI in Healthcare Market Size & Forecasts by Application 2022-2032

• 5.1. Segment Dashboard
• 5.2. Global Generative AI in Healthcare Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
  • 5.2.1. Treatment
  • 5.2.2. Diagnosis
  • 5.2.3. Drug Discovery
  • 5.2.4. Research

Chapter 6. Global Generative AI in Healthcare Market Size & Forecasts by End User 2022-2032

• 6.1. Segment Dashboard
• 6.2. Global Generative AI in Healthcare Market: End User Revenue Trend Analysis, 2022 & 2032 (USD Billion)
  • 6.2.1. Hospitals and Clinics
  • 6.2.2. Healthcare Organizations
  • 6.2.3. Others

Chapter 7. Global Generative AI in Healthcare Market Size & Forecasts by Region 2022-2032

• 7.1. North America Generative AI in Healthcare Market
  • 7.1.1. U.S. Generative AI in Healthcare Market
    • 7.1.1.1. Application breakdown size & forecasts, 2022-2032
    • 7.1.1.2. End User breakdown size & forecasts, 2022-2032
  • 7.1.2. Canada Generative AI in Healthcare Market
• 7.2. Europe Generative AI in Healthcare Market
  • 7.2.1. U.K. Generative AI in Healthcare Market
  • 7.2.2. Germany Generative AI in Healthcare Market
  • 7.2.3. France Generative AI in Healthcare Market
  • 7.2.4. Spain Generative AI in Healthcare Market
  • 7.2.5. Italy Generative AI in Healthcare Market
  • 7.2.6. Rest of Europe Generative AI in Healthcare Market
• 7.3. Asia-Pacific Generative AI in Healthcare Market
  • 7.3.1. China Generative AI in Healthcare Market
  • 7.3.2. India Generative AI in Healthcare Market
  • 7.3.3. Japan Generative AI in Healthcare Market
  • 7.3.4. Australia Generative AI in Healthcare Market
  • 7.3.5. South Korea Generative AI in Healthcare Market
  • 7.3.6. Rest of Asia Pacific Generative AI in Healthcare Market
• 7.4. Latin America Generative AI in Healthcare Market
  • 7.4.1. Brazil Generative AI in Healthcare Market
  • 7.4.2. Mexico Generative AI in Healthcare Market
  • 7.4.3. Rest of Latin America Generative AI in Healthcare Market
• 7.5. Middle East & Africa Generative AI in Healthcare Market
  • 7.5.1. Saudi Arabia Generative AI in Healthcare Market
  • 7.5.2. South Africa Generative AI in Healthcare Market
  • 7.5.3. Rest of Middle East & Africa Generative AI in Healthcare Market

Chapter 8. Competitive Intelligence

• 8.1. Key Company SWOT Analysis
• 8.2. Top Market Strategies
• 8.3. Company Profiles
  • 8.3.1. Syntegra
    • 8.3.1.1. Key Information
    • 8.3.1.2. Overview
    • 8.3.1.3. Financial (Subject to Data Availability)
    • 8.3.1.4. Product Summary
    • 8.3.1.5. Market Strategies
  • 8.3.2. Microsoft
  • 8.3.3. Abridge AI Inc.
  • 8.3.4. Google LLC
  • 8.3.5. IBM Watson Health Corporation
  • 8.3.6. InSilico Medicine
  • 8.3.7. NVIDIA Corporation
  • 8.3.8. Amazon
  • 8.3.9. Oracle
  • 8.3.10. Open AI Inc.

Chapter 9. Research Process

• 9.1. Research Process
  • 9.1.1. Data Mining
  • 9.1.2. Analysis
  • 9.1.3. Market Estimation
  • 9.1.4. Validation
  • 9.1.5. Publishing
• 9.2. Research Attributes