의료용 인공지능(AI) 시장 : 시장 규모, 점유율, 성장률, 산업 분석, 유형별, 용도별, 지역별 인사이트 및 예측(2025-2034년)

Growth Factors of AI in healthcare Market

The global AI in healthcare market size was valued at USD 39.34 billion in 2025 and is projected to expand to USD 56.01 billion in 2026, reaching USD 1,033.27 billion by 2034, reflecting rapid adoption of artificial intelligence technologies across healthcare systems worldwide. North America dominated the global market with a 44.50% share in 2025, supported by advanced healthcare infrastructure, strong digital health investments, and early adoption of AI-driven clinical tools.

Artificial Intelligence in healthcare includes technologies such as machine learning, deep learning, natural language processing, and computer vision that support applications in diagnostics, imaging, hospital administration, patient monitoring, drug discovery, robotic surgery, and clinical decision support. These technologies help reduce clinical workload, improve diagnostic accuracy, accelerate treatment decisions, and enhance patient outcomes across hospitals, clinics, pharmaceutical companies, and research organizations.

Market Drivers

Rising investments in AI-driven healthcare solutions across developed and developing economies are a major growth driver. Governments and private investors are allocating funds to support research and deployment of AI platforms that improve healthcare accessibility and operational efficiency. In developing regions, AI is increasingly used to overcome shortages of skilled professionals and limited diagnostic infrastructure. Funding initiatives targeting automation, predictive analytics, and personalized medicine are accelerating market adoption across public and private healthcare systems.

Another strong driver is the rising prevalence of chronic diseases and aging populations, which increases demand for early diagnosis, continuous monitoring, and optimized clinical workflows. AI-enabled imaging, remote patient monitoring, and clinical analytics reduce turnaround time while improving care quality, supporting broader institutional adoption.

Market Restraints

High implementation costs remain a barrier for small and mid-sized healthcare providers. Expenses related to data infrastructure, AI software integration, cybersecurity, and skilled workforce recruitment restrict large-scale deployment, especially in low- and middle-income countries. In addition, data privacy concerns and cybersecurity risks continue to limit trust in AI-based healthcare systems. Healthcare data breaches involving patient records and genetic data have raised regulatory scrutiny, increasing compliance costs and slowing digital transformation in some regions.

Market Opportunities

Mental health diagnosis and management represent a growing opportunity for AI in healthcare. Rising cases of anxiety, depression, and behavioral disorders are increasing demand for scalable digital solutions. AI-powered chatbots, emotion recognition tools, and real-time clinical documentation platforms are improving patient engagement while addressing workforce shortages. AI tools capable of analyzing speech, facial expressions, and behavioral patterns are expanding early diagnosis capabilities, particularly in primary care and telehealth settings.

AI adoption in genomics, personalized medicine, and population health analytics also offers growth opportunities, allowing healthcare providers to tailor treatments based on patient data, genetic profiles, and lifestyle factors.

Market Challenges

Limited availability of skilled AI professionals and resistance from healthcare workers remain key challenges. Many clinicians express concerns about algorithm transparency, decision accountability, and job displacement. Lack of standardized AI training in medical education also limits clinical confidence in AI-assisted tools. Additionally, integration of AI platforms with existing hospital information systems requires technical expertise that many facilities lack.

Segmentation Analysis

By platform, the market is segmented into solutions and services. The solutions segment held the largest share in 2024, driven by increased adoption of AI-based diagnostic tools, imaging software, clinical decision platforms, and workflow automation systems. New product launches and hospital-wide AI deployments are strengthening this segment. The services segment, including virtual nursing assistance and AI-based monitoring services, is growing steadily as hospitals adopt remote care models and decentralized patient management.

By application, the market includes robot-assisted surgery, diagnostics, virtual nursing assistants, administrative workflow assistance, clinical trials, and others. Robot-assisted surgery is projected to account for 22.94% market share in 2026, supported by demand for minimally invasive procedures and improved surgical precision using AI-guided robotic systems. Diagnostics is expected to witness strong growth due to increasing use of AI in imaging, pathology, and predictive analytics. Administrative and virtual nursing applications are expanding due to hospital staffing shortages and rising patient volumes.

By end user, hospitals and clinics accounted for 42.44% market share in 2026, driven by AI deployment in patient management, billing automation, diagnostics, and clinical documentation. Pharmaceutical and biotechnology companies are adopting AI for drug discovery, clinical trial optimization, and molecular analysis, while CROs are using AI to improve trial design and patient recruitment.

Regional Outlook

North America remained the largest regional market, valued at USD 14.30 billion in 2024 and projected to reach USD 24.78 billion by 2026, driven by high AI integration in diagnostics, imaging, and hospital operations. The U.S. market alone is expected to reach USD 22.7 billion by 2026 due to strong cloud-AI partnerships and large-scale hospital adoption.

Europe is projected to reach USD 15.73 billion by 2026, supported by AI integration in hospitals and rising use of AI in pharmaceutical research, particularly in the U.K. and Germany. Asia Pacific is expected to record the fastest growth due to expanding healthcare digitization in China, Japan, and India, along with rising investments in AI-powered medical devices and predictive healthcare systems. Latin America is projected to reach USD 2.25 billion by 2026, while the Middle East & Africa market is projected to reach USD 1.24 billion by 2026, supported by growing telehealth and cloud-based healthcare adoption.

Competitive Landscape

Major companies operating in the AI in healthcare market include Amazon.com, Inc., Microsoft Corporation, NVIDIA Corporation, Google (Alphabet Inc.), Siemens Healthineers AG, Intel Corporation, General Electric Company, Hewlett Packard Enterprise Company, UnitedHealth Group (Optum Inc.), and Veradigm LLC. These companies are actively pursuing partnerships, cloud-AI platform development, and acquisitions to strengthen clinical AI capabilities, improve interoperability, and accelerate healthcare digitization across diagnostics, surgery, and clinical research workflows.

Report Coverage

The AI in healthcare market report provides a comprehensive analysis of the global industry landscape, covering market size, market value, growth outlook, and technological evolution for the years 2025, 2026, and 2034. The report examines the integration of artificial intelligence across key healthcare applications, including diagnostics, medical imaging, robotic-assisted surgery, virtual nursing assistants, administrative workflow management, clinical trials, and drug discovery. It evaluates market performance by platform (solutions and services), application, end user, and region, offering detailed insights into adoption trends across hospitals & clinics, pharmaceutical & biotechnology companies, and contract research organizations.

The study also highlights key regional markets such as North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa, with country-level insights for the U.S., Germany, the U.K., China, and Japan. In addition, the report analyzes major market drivers, restraints, opportunities, and challenges influencing AI adoption in healthcare. Strategic developments such as collaborations, mergers & acquisitions, new product launches, and technological advancements by leading players are included to provide a clear understanding of the competitive environment shaping the global AI in healthcare market.

Conclusion

The global AI in healthcare market is undergoing a rapid transformation, supported by strong technological advancements, rising investments, and increasing demand for efficient, data-driven healthcare solutions. With market value expanding from USD 39.34 billion in 2025 to USD 56.01 billion in 2026, and projected to reach USD 1,033.27 billion by 2034, artificial intelligence is becoming a core component of modern healthcare systems. The growing adoption of AI across diagnostics, robotic surgery, clinical research, and hospital operations highlights its critical role in improving care quality, operational efficiency, and patient outcomes across global healthcare ecosystems.

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

By Region

• North America (By Platform, Application, End-user, and Country)
  • U.S.
  • Canada
• Europe (By Platform, Application, End-user, and Country/sub-region)
  • Germany
  • U.K.
  • France
  • Italy
  • Spain
  • Scandinavia
  • Rest of Europe
• Asia Pacific (By Platform, Application, End-user, and Country/sub-region)
  • China
  • Japan
  • India
  • Australia
  • Southeast Asia
  • Rest of APAC
• Latin America (By Platform, Application, End-user, and Country/sub-region)
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa (By Platform, Application, End-user, and Country/sub-region)
  • GCC
  • South Africa
  • Rest of the Mi

Table of Content

1. Introduction

• 1.1. Research Scope
• 1.2. Market Segmentation
• 1.3. Research Methodology 2025
• 1.4. Definitions and Assumptions

2. Executive Summary

3. Market Dynamics

• 3.1. Market Drivers
• 3.2. Market Restraints
• 3.3. Market Opportunities
• 3.4. Market Trends

4. Key Insights

• 4.1. Technological Advancements Pertaining to the Artificial Intelligence in Healthcare
• 4.2. Regulatory Scenario for Key Countries
• 4.3. Overview on Application of AI in Hospitals and Clinics
• 4.4. Challenges Faced During Adoption and Implementation of AI-based Solutions
• 4.5. Key Performance Indicators for Artificial Intelligence in the Healthcare Market
• 4.6. Key Industry Developments - Mergers, Acquisitions, Partnerships, etc.
• 4.7. Impact of COVID-19 on the Market

5. Global AI in Healthcare Market Analysis, Insights and Forecast, 2021-2034

• 5.1. Market Analysis, Insights and Forecast - By Platform
  • 5.1.1. Solutions
  • 5.1.2. Services
• 5.2. Market Analysis, Insights and Forecast - By Application
  • 5.2.1. Robot-Assisted Surgery
  • 5.2.2. Virtual Nursing Assistant
  • 5.2.3. Administrative Workflow Assistance
  • 5.2.4. Clinical Trials
  • 5.2.5. Diagnostics
  • 5.2.6. Others
• 5.3. Market Analysis, Insights and Forecast - By End-user
  • 5.3.1. Hospitals & Clinics
  • 5.3.2. Pharmaceutical & Biotechnology Companies
  • 5.3.3. Contract Research Organization (CRO)
  • 5.3.4. Others
• 5.4. Market Analysis, Insights and Forecast - By Region
  • 5.4.1. North America
  • 5.4.2. Europe
  • 5.4.3. Asia Pacific
  • 5.4.4. Latin America
  • 5.4.5. Middle East & Africa

6. North America AI in Healthcare Market Analysis, Insights and Forecast, 2021-2034

• 6.1. Market Analysis, Insights and Forecast - By Platform
  • 6.1.1. Solutions
  • 6.1.2. Services
• 6.2. Market Analysis, Insights and Forecast - By Application
  • 6.2.1. Robot-Assisted Surgery
  • 6.2.2. Virtual Nursing Assistant
  • 6.2.3. Administrative Workflow Assistance
  • 6.2.4. Clinical Trials
  • 6.2.5. Diagnostics
  • 6.2.6. Others
• 6.3. Market Analysis, Insights and Forecast - By End-user
  • 6.3.1. Hospitals & Clinics
  • 6.3.2. Pharmaceutical & Biotechnology Companies
  • 6.3.3. Contract Research Organization (CRO)
  • 6.3.4. Others
• 6.4. Market Analysis, Insights and Forecast - By Country
  • 6.4.1. U.S.
  • 6.4.2. Canada

7. Europe AI in Healthcare Market Analysis, Insights and Forecast, 2021-2034

• 7.1. Market Analysis, Insights and Forecast - By Platform
  • 7.1.1. Solutions
  • 7.1.2. Services
• 7.2. Market Analysis, Insights and Forecast - By Application
  • 7.2.1. Robot-Assisted Surgery
  • 7.2.2. Virtual Nursing Assistant
  • 7.2.3. Administrative Workflow Assistance
  • 7.2.4. Clinical Trials
  • 7.2.5. Diagnostics
  • 7.2.6. Others
• 7.3. Market Analysis, Insights and Forecast - By End-user
  • 7.3.1. Hospitals & Clinics
  • 7.3.2. Pharmaceutical & Biotechnology Companies
  • 7.3.3. Contract Research Organization (CRO)
  • 7.3.4. Others
• 7.4. Market Analysis, Insights and Forecast - By Country/ Sub-Region
  • 7.4.1. Germany
  • 7.4.2. U.K.
  • 7.4.3. France
  • 7.4.4. Italy
  • 7.4.5. Spain
  • 7.4.6. Scandinavia
  • 7.4.7. Rest of Europe

8. Asia Pacific AI in Healthcare Market Analysis, Insights and Forecast, 2021-2034

• 8.1. Market Analysis, Insights and Forecast - By Platform
  • 8.1.1. Solutions
  • 8.1.2. Services
• 8.2. Market Analysis, Insights and Forecast - By Application
  • 8.2.1. Robot-Assisted Surgery
  • 8.2.2. Virtual Nursing Assistant
  • 8.2.3. Administrative Workflow Assistance
  • 8.2.4. Clinical Trials
  • 8.2.5. Diagnostics
  • 8.2.6. Others
• 8.3. Market Analysis, Insights and Forecast - By End-user
  • 8.3.1. Hospitals & Clinics
  • 8.3.2. Pharmaceutical & Biotechnology Companies
  • 8.3.3. Contract Research Organization (CRO)
  • 8.3.4. Others
• 8.4. Market Analysis, Insights and Forecast - By Country/ Sub-Region
  • 8.4.1. India
  • 8.4.2. China
  • 8.4.3. Japan
  • 8.4.4. Australia
  • 8.4.5. Southeast Asia
  • 8.4.6. Rest of Asia Pacific

9. Latin America AI in Healthcare Market Analysis, Insights and Forecast, 2021-2034

• 9.1. Market Analysis, Insights and Forecast - By Platform
  • 9.1.1. Solutions
  • 9.1.2. Services
• 9.2. Market Analysis, Insights and Forecast - By Application
  • 9.2.1. Robot-Assisted Surgery
  • 9.2.2. Virtual Nursing Assistant
  • 9.2.3. Administrative Workflow Assistance
  • 9.2.4. Clinical Trials
  • 9.2.5. Diagnostics
  • 9.2.6. Others
• 9.3. Market Analysis, Insights and Forecast - By End-user
  • 9.3.1. Hospitals & Clinics
  • 9.3.2. Pharmaceutical & Biotechnology Companies
  • 9.3.3. Contract Research Organization (CRO)
  • 9.3.4. Others
• 9.4. Market Analysis, Insights and Forecast - By Country/ Sub-Region
  • 9.4.1. Brazil
  • 9.4.2. Mexico
  • 9.4.3. Rest of Latin America

10. Middle East & Africa AI in Healthcare Market Analysis, Insights and Forecast, 2021-2034

• 10.1. Market Analysis, Insights and Forecast - By Platform
  • 10.1.1. Solutions
  • 10.1.2. Services
• 10.2. Market Analysis, Insights and Forecast - By Application
  • 10.2.1. Robot-Assisted Surgery
  • 10.2.2. Virtual Nursing Assistant
  • 10.2.3. Administrative Workflow Assistance
  • 10.2.4. Clinical Trials
  • 10.2.5. Diagnostics
  • 10.2.6. Others
• 10.3. Market Analysis, Insights and Forecast - By End-user
  • 10.3.1. Hospitals & Clinics
  • 10.3.2. Pharmaceutical & Biotechnology Companies
  • 10.3.3. Contract Research Organization (CRO)
  • 10.3.4. Others
• 10.4. Market Analysis, Insights and Forecast - By Country/ Sub-Region
  • 10.4.1. GCC
  • 10.4.2. South Africa
  • 10.4.3. Rest of Middle East & Africa

11. Competitive Analysis

• 11.1. Global Market Share Analysis (2025)
• 11.2. Company Profiles
  • 11.2.1. Amazon Web Services, Inc.
    • 11.2.1.1. Overview
    • 11.2.1.2. Products & services
    • 11.2.1.3. SWOT Analysis
    • 11.2.1.4. Recent Developments
    • 11.2.1.5. Strategies
    • 11.2.1.6. Financials (Based on Availability)
  • 11.2.2. Microsoft Corporation
    • 11.2.2.1. Overview
    • 11.2.2.2. Products & services
    • 11.2.2.3. SWOT Analysis
    • 11.2.2.4. Recent Developments
    • 11.2.2.5. Strategies
    • 11.2.2.6. Financials (Based on Availability)
  • 11.2.3. NVIDIA Corporation
    • 11.2.3.1. Overview
    • 11.2.3.2. Products & services
    • 11.2.3.3. SWOT Analysis
    • 11.2.3.4. Recent Developments
    • 11.2.3.5. Strategies
    • 11.2.3.6. Financials (Based on Availability)
  • 11.2.4. Google (Alphabet Inc.)
    • 11.2.4.1. Overview
    • 11.2.4.2. Products & services
    • 11.2.4.3. SWOT Analysis
    • 11.2.4.4. Recent Developments
    • 11.2.4.5. Strategies
    • 11.2.4.6. Financials (Based on Availability)
  • 11.2.5. Hewlett Packard Enterprise Company
    • 11.2.5.1. Overview
    • 11.2.5.2. Products & services
    • 11.2.5.3. SWOT Analysis
    • 11.2.5.4. Recent Developments
    • 11.2.5.5. Strategies
    • 11.2.5.6. Financials (Based on Availability)
  • 11.2.6. Intel Corporation
    • 11.2.6.1. Overview
    • 11.2.6.2. Products & services
    • 11.2.6.3. SWOT Analysis
    • 11.2.6.4. Recent Developments
    • 11.2.6.5. Strategies
    • 11.2.6.6. Financials (Based on Availability)
  • 11.2.7. Siemens Healthineers AG
    • 11.2.7.1. Overview
    • 11.2.7.2. Products & services
    • 11.2.7.3. SWOT Analysis
    • 11.2.7.4. Recent Developments
    • 11.2.7.5. Strategies
    • 11.2.7.6. Financials (Based on Availability)
  • 11.2.8. GE HealthCare
    • 11.2.8.1. Overview
    • 11.2.8.2. Products & services
    • 11.2.8.3. SWOT Analysis
    • 11.2.8.4. Recent Developments
    • 11.2.8.5. Strategies
    • 11.2.8.6. Financials (Based on Availability)
  • 11.2.9. Veradigm LLC
    • 11.2.9.1. Overview
    • 11.2.9.2. Products & services
    • 11.2.9.3. SWOT Analysis
    • 11.2.9.4. Recent Developments
    • 11.2.9.5. Strategies
    • 11.2.9.6. Financials (Based on Availability)
  • 11.2.10. UnitedHealth Group (Optum Inc.)
    • 11.2.10.1. Overview
    • 11.2.10.2. Products & services
    • 11.2.10.3. SWOT Analysis
    • 11.2.10.4. Recent Developments
    • 11.2.10.5. Strategies
    • 11.2.10.6. Financials (Based on Availability)