헬스케어 분야 생성형 AI 시장 기회, 성장 촉진요인, 산업 동향 분석, 예측(2025-2034년)

The Global Generative AI In Healthcare Market, valued at USD 1.8 billion in 2023, is projected to grow at a robust CAGR of 33.2% from 2024 to 2032. This rapid growth is primarily fueled by advancements in deep learning and natural language processing (NLP), the increasing need for personalized treatments, rising investments in AI-driven healthcare solutions, and the surging volume of healthcare data worldwide.

Generative AI is transforming the healthcare industry by enabling innovative applications such as medical imaging analysis, automated reporting, and conversational tools for patient engagement. These technological advancements are encouraging healthcare providers and organizations to integrate AI solutions into their operations, driving market expansion.

In terms of application, the market is divided into segments such as medical image analysis and diagnostics, drug discovery, patient assistance, personalized treatment, and more. The medical image analysis and diagnostics segment led the market in 2023, generating the highest revenue, owing to the increasing demand for advanced tools that enable early and accurate disease detection.

Generative AI enhances diagnostic capabilities by identifying potential health risks at an earlier stage, helping healthcare providers improve outcomes and focus on preventive care. AI-powered tools offer precise and rapid analysis, significantly boosting their adoption in medical imaging and diagnostics.

The market is further segmented by end use, encompassing healthcare providers, pharmaceutical companies, and healthcare payors. Among these, healthcare providers emerged as the dominant segment in 2023 and are expected to reach USD 9.7 billion by the end of the forecast period. Within this segment, hospitals, clinics, and diagnostic centers are increasingly leveraging AI to streamline workflows, optimize patient care, and manage administrative tasks like scheduling and record keeping.

Generative AI plays a crucial role in reducing operational costs for healthcare providers by automating repetitive tasks, enhancing workflow efficiency, and minimizing human errors. These solutions also contribute to better resource allocation and lower hospital readmission rates, ultimately supporting cost-effective healthcare delivery.

North America accounted for the largest revenue share of USD 758.7 million in 2023 and is anticipated to grow significantly through 2032. The region's advanced healthcare infrastructure, coupled with its rapid adoption of electronic health records (EHR), telemedicine, and other digital tools, creates a fertile ground for generative AI adoption. These factors are expected to drive market growth in the coming years.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market scope & definitions
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Base estimates & calculations
  • 1.3.1 Base year calculation
  • 1.3.2 Key trends for market estimation
• 1.4 Forecast model
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
  • 1.5.2 Data mining sources

Chapter 2 Executive Summary

• 2.1 Industry 360⁰ synopsis

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Industry impact forces
  • 3.2.1 Growth drivers
    • 3.2.1.1 Growing demand for precision medicine and treatment
    • 3.2.1.2 Increasing focus on enhancing medical imaging
    • 3.2.1.3 Expanding advancement in AI
    • 3.2.1.4 Increasing venture funding
  • 3.2.2 Industry pitfalls & challenges
    • 3.2.2.1 Data privacy and security concerns
    • 3.2.2.2 Regulatory compliance
• 3.3 Growth potential analysis
• 3.4 Regulatory landscape
  • 3.4.1 U.S.
  • 3.4.2 Europe
• 3.5 Porter's analysis
• 3.6 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company matrix analysis
• 4.3 Competitive analysis of major market players
• 4.4 Competitive positioning matrix
• 4.5 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Application, 2023 – 2032 ($ Mn)

• 5.1 Key trends
• 5.2 Medical image analysis and diagnostics
• 5.3 Drug discovery and development
• 5.4 Patient assistance and monitoring
• 5.5 Personalized treatment
• 5.6 Other applications

Chapter 6 Market Estimates and Forecast, By End Use, 2023 – 2032 ($ Mn)

• 6.1 Key trends
• 6.2 Healthcare providers
  • 6.2.1 Healthcare providers
  • 6.2.2 Pharmaceutical and life sciences companies
  • 6.2.3 Healthcare payors
• 6.3 Pharmaceutical and life sciences companies
• 6.4 Healthcare payors

Chapter 7 Market Estimates and Forecast, By Region, 2023 – 2032 ($ Mn)

• 7.1 Key trends
• 7.2 North America
  • 7.2.1 U.S.
  • 7.2.2 Canada
• 7.3 Europe
  • 7.3.1 Germany
  • 7.3.2 UK
  • 7.3.3 France
  • 7.3.4 Spain
  • 7.3.5 Italy
• 7.4 Asia Pacific
  • 7.4.1 China
  • 7.4.2 Japan
  • 7.4.3 India
  • 7.4.4 Australia
• 7.5 Latin America
  • 7.5.1 Brazil
  • 7.5.2 Mexico
• 7.6 Middle East and Africa
  • 7.6.1 South Africa
  • 7.6.2 Saudi Arabia

Chapter 8 Company Profiles

• 8.1 Abridge Al
• 8.2 DiagnaMed Holdings
• 8.3 ELEKS
• 8.4 Google LLC (Alphabet)
• 8.5 Insilico Medicine
• 8.6 International Business Machines
• 8.7 Microsoft
• 8.8 NVIDIA
• 8.9 Oracle
• 8.10 Persistent Systems
• 8.11 Syntegra