의료용 인공지능(AI) 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

The Artificial Intelligence In Healthcare Market size is expected to reach USD 1330.13 Billion in 2034 from USD 48.40 Billion (2025) growing at a CAGR of 44.51% during 2026-2034.

The global artificial intelligence in healthcare market has grown rapidly with advancements in digital technologies. AI is used for medical imaging, diagnosis, drug discovery, and patient monitoring. Increasing demand for efficient healthcare services has supported market expansion. Growing healthcare data volumes also encourage AI adoption.

Key drivers include the need to reduce medical errors and improve patient outcomes. AI tools help doctors analyze complex data quickly. Rising investment in digital health startups further supports growth. Government initiatives promoting smart healthcare systems also play an important role.

In the future, the market is expected to grow strongly with advancements in machine learning and predictive analytics. Integration with wearable devices may create new opportunities. However, data privacy concerns and high implementation costs may limit adoption. Overall, AI will continue transforming healthcare services.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Platform

• Solutions
• Services

By Application

• Robot-Assisted Surgery
• Virtual Nursing Assistant
• Administrative Workflow Assistance
• Clinical Trials
• Diagnostics
• Others

By End-user

• Hospitals & Clinics
• Pharmaceutical & Biotechnology Companies
• Contract Research Organization (CRO)
• Others

COMPANIES PROFILED

• Amazoncom Inc, Microsoft Corporation, NVIDIA Corporation, Google Alphabet Inc, Hewlett Packard Enterprise Company, Intel Corporation, Siemens Healthineers AG, General Electric Company, Veradigm LLC, UnitedHealth Group Optum Inc
• We can customise the report as per your requirements.

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: BY PLATFORM 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Platform
• 4.2. Solutions Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: BY APPLICATION 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Application
• 5.2. Robot-Assisted Surgery Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Virtual Nursing Assistant Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Administrative Workflow Assistance Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Clinical Trials Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.6. Diagnostics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.7. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: BY END-USER 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast End-user
• 6.2. Hospitals & Clinics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Pharmaceutical & Biotechnology Companies Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Contract Research Organization (CRO) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: BY REGION 2022-2034(USD MN)

• 7.1. Regional Outlook
• 7.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.2.1 By Platform
  • 7.2.2 By Application
  • 7.2.3 By End-user
  • 7.2.4 United States
  • 7.2.5 Canada
  • 7.2.6 Mexico
• 7.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.3.1 By Platform
  • 7.3.2 By Application
  • 7.3.3 By End-user
  • 7.3.4 United Kingdom
  • 7.3.5 France
  • 7.3.6 Germany
  • 7.3.7 Italy
  • 7.3.8 Russia
  • 7.3.9 Rest Of Europe
• 7.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.4.1 By Platform
  • 7.4.2 By Application
  • 7.4.3 By End-user
  • 7.4.4 India
  • 7.4.5 Japan
  • 7.4.6 South Korea
  • 7.4.7 Australia
  • 7.4.8 South East Asia
  • 7.4.9 Rest Of Asia Pacific
• 7.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.5.1 By Platform
  • 7.5.2 By Application
  • 7.5.3 By End-user
  • 7.5.4 Brazil
  • 7.5.5 Argentina
  • 7.5.6 Peru
  • 7.5.7 Chile
  • 7.5.8 South East Asia
  • 7.5.9 Rest of Latin America
• 7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.6.1 By Platform
  • 7.6.2 By Application
  • 7.6.3 By End-user
  • 7.6.4 Saudi Arabia
  • 7.6.5 UAE
  • 7.6.6 Israel
  • 7.6.7 South Africa
  • 7.6.8 Rest of the Middle East And Africa

Chapter 8. COMPETITIVE LANDSCAPE

• 8.1. Recent Developments
• 8.2. Company Categorization
• 8.3. Supply Chain & Channel Partners (based on availability)
• 8.4. Market Share & Positioning Analysis (based on availability)
• 8.5. Vendor Landscape (based on availability)
• 8.6. Strategy Mapping

Chapter 9. COMPANY PROFILES OF GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE INDUSTRY

• 9.1. Top Companies Market Share Analysis
• 9.2. Company Profiles
  • 9.2.1 Amazon.Com Inc
  • 9.2.2 Microsoft Corporation
  • 9.2.3 NVIDIA Corporation
  • 9.2.4 Google (Alphabet Inc.)
  • 9.2.5 Hewlett Packard Enterprise Company
  • 9.2.6 Intel Corporation
  • 9.2.7 Siemens Healthineers AG
  • 9.2.8 General Electric Company
  • 9.2.9 Veradigm LLC
  • 9.2.10 UnitedHealth Group (Optum Inc.)