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

The global artificial intelligence in medicine market size is expected to reach USD 850.67 Billion in 2034 from USD 34.02 Billion in 2025, growing at a CAGR of 43% during 2026-2034.This market is expanding as healthcare organizations and technology developers apply artificial intelligence to medical imaging, clinical decision support, drug discovery, documentation, patient monitoring, and administrative workflows. Healthcare generates large volumes of clinical and operational data that can be analyzed using machine learning and other AI technologies. Hospitals are exploring AI tools to support clinicians and improve workflow efficiency. Pharmaceutical companies are also using computational models to accelerate research, while digital-health providers are developing AI-enabled patient-support applications.

Medical imaging remains an important area because AI can assist with image classification, detection, segmentation, and prioritization. Natural-language processing can support clinical documentation and information extraction, while generative AI is being explored for summarization and workflow assistance. In pharmaceutical research, AI can support target identification, molecule design, and patient selection. Adoption depends on factors including data quality, interoperability, clinical validation, cybersecurity, privacy, and regulatory requirements. Human oversight remains important, particularly when AI outputs influence clinical decisions.

Future prospects are supported by continued digitization of healthcare and advances in machine learning capabilities. AI systems are likely to become more integrated with electronic health records, imaging platforms, laboratory systems, and clinical workflows. Multimodal models capable of processing text, images, and other healthcare data could expand potential applications. Healthcare organizations will increasingly focus on evidence, governance, transparency, and measurable workflow benefits. As infrastructure and regulatory frameworks mature, AI can become more deeply embedded in selected clinical, research, and administrative processes.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Component

• Hardware
• Software
• Services

By Application

• Medical Administration and Support
• Patient Management
• Research and Drug Discovery
• Diagnostics and Imaging

By Technology

• Machine Learning
• Natural-Language Processing
• Computer Vision
• Context-Aware Computing
• Expert Systems and Robotics

By End User

• Hospitals and Clinics
• Pharmaceutical and Biotech Firms
• Diagnostic Laboratories
• Payers and Insurance
• Contract Research Organizations

COMPANIES PROFILED

• IBM Corporation, Microsoft Corporation, Google LLC (incl. DeepMind Technologies Ltd.), NVIDIA Corporation, Amazon Web Services Inc., Siemens Healthineers AG, Koninklijke Philips N.V., GE HealthCare Technologies Inc., Medtronic plc, Atomwise Inc., Modernizing Medicine Inc., Nano-X Imaging Ltd., Medasense Biometrics Ltd., BPGbio Inc., Sense.ly Corporation, AiCure LLC, Cyrcadia Health Inc.

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 MEDICINE MARKET: BY COMPONENT 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Component
• 4.2. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

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

• 5.1. Market Analysis, Insights and Forecast Application
• 5.2. Medical Administration and Support Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Patient Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Research and Drug Discovery Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Diagnostics and Imaging Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Technology
• 6.2. Machine Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Natural-Language Processing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Computer Vision Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Context-Aware Computing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.6. Expert Systems and Robotics Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET: BY END USER 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast End User
• 7.2. Hospitals and Clinics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. Pharmaceutical and Biotech Firms Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. Diagnostic Laboratories Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.5. Payers and Insurance Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.6. Contract Research Organizations Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET: BY REGION 2022-2034 (USD MN)

• 8.1. Regional Outlook
• 8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.2.1 By Component
  • 8.2.2 By Application
  • 8.2.3 By Technology
  • 8.2.4 By End User
  • 8.2.5 United States
  • 8.2.6 Canada
  • 8.2.7 Mexico
• 8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.3.1 By Component
  • 8.3.2 By Application
  • 8.3.3 By Technology
  • 8.3.4 By End User
  • 8.3.5 United Kingdom
  • 8.3.6 France
  • 8.3.7 Germany
  • 8.3.8 Italy
  • 8.3.9 Spain
  • 8.3.10 Russia
  • 8.3.11 Rest Of Europe
• 8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.4.1 By Component
  • 8.4.2 By Application
  • 8.4.3 By Technology
  • 8.4.4 By End User
  • 8.4.5 China
  • 8.4.6 Japan
  • 8.4.7 South Korea
  • 8.4.8 India
  • 8.4.9 Australia
  • 8.4.10 South East Asia
  • 8.4.11 Rest Of Asia Pacific
• 8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.5.1 By Component
  • 8.5.2 By Application
  • 8.5.3 By Technology
  • 8.5.4 By End User
  • 8.5.5 Brazil
  • 8.5.6 Argentina
  • 8.5.7 Peru
  • 8.5.8 Chile
  • 8.5.9 Rest of Latin America
• 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.6.1 By Component
  • 8.6.2 By Application
  • 8.6.3 By Technology
  • 8.6.4 By End User
  • 8.6.5 Saudi Arabia
  • 8.6.6 UAE
  • 8.6.7 Israel
  • 8.6.8 South Africa
  • 8.6.9 Rest of the Middle East And Africa

Chapter 9. COMPETITIVE LANDSCAPE

• 9.1. Recent Developments
• 9.2. Company Categorization
• 9.3. Supply Chain & Channel Partners (based on availability)
• 9.4. Market Share & Positioning Analysis (based on availability)
• 9.5. Vendor Landscape (based on availability)
• 9.6. Strategy Mapping

Chapter 10. COMPANY PROFILES OF GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE INDUSTRY

• 10.1. Top Companies Market Share Analysis
• 10.2. Company Profiles
  • 10.2.1 IBM Corporation
  • 10.2.2 Microsoft Corporation
  • 10.2.3 Google LLC (incl. DeepMind Technologies Ltd.)
  • 10.2.4 NVIDIA Corporation
  • 10.2.5 Amazon Web Services Inc
  • 10.2.6 Siemens Healthineers AG
  • 10.2.7 Koninklijke Philips N.V
  • 10.2.8 GE HealthCare Technologies Inc
  • 10.2.9 Medtronic Plc
  • 10.2.10 Atomwise Inc
  • 10.2.11 Modernizing Medicine Inc
  • 10.2.12 Nano-X Imaging Ltd
  • 10.2.13 Medasense Biometrics Ltd
  • 10.2.14 BPGbio Inc
  • 10.2.15 Sense.ly Corporation
  • 10.2.16 AiCure LLC
  • 10.2.17 Cyrcadia Health Inc