South Korea Healthcare Artificial Intelligence Market

ID: MRFR/HC/63892-HCR
128 Pages
Satyendra Maurya
Last Updated: April 06, 2026
South Korea Healthcare Artificial Intelligence (AI) Market Research Report By Component (Hardware, Software, Services), By Application (Robot-Assisted Surgery, Virtual Nursing Assistant, Dosage Error Reduction, Clinical Trial, Preliminary Diagnosis, Automated Image Diagnosis), By Technology (Machine Learning, Querying Method, Natural Language Processing) and By End-User (Hospital Diagnostic Centers, Pharmaceutical Biotechnology Companies, Academic Research Laboratories) - Growth & Industry Forecast 2025 To 2035
South Korea Healthcare Artificial Intelligence Market
Market Size
Forecast Period2025 - 2035
CAGR (2025 - 2035)26.3%
2024 Market Size$ 402.4 Million
2025 Market Size$ 508.23 Million
2035 Market Size$ 5,250 Million
Key Players
IBM
Google
Microsoft
Amazon
Siemens Healthineers
Philips
Trends
  • Increased Investment in AI Technologies
  • Collaboration Between Tech Firms and Healthcare Providers
  • Focus on Data Security and Ethical AI Use
Opportunities
  • Government Initiatives and Funding
  • Integration of AI in Medical Imaging
  • Rising Demand for Personalized Medicine
Summary Table of Contents Segmentation Download PDF
  1. 1 SECTION I: EXECUTIVE SUMMARY AND KEY HIGHLIGHTS
    1. 1.1 EXECUTIVE SUMMARY
      1. 1.1.1 Market Overview
      2. 1.1.2 Key Findings
      3. 1.1.3 Market Segmentation
      4. 1.1.4 Competitive Landscape
      5. 1.1.5 Challenges and Opportunities
      6. 1.1.6 Future Outlook
  2. 2 SECTION II: SCOPING, METHODOLOGY AND MARKET STRUCTURE
    1. 2.1 MARKET INTRODUCTION
      1. 2.1.1 Definition
      2. 2.1.2 Scope of the study
        1. 2.1.2.1 Research Objective
        2. 2.1.2.2 Assumption
        3. 2.1.2.3 Limitations
    2. 2.2 RESEARCH METHODOLOGY
      1. 2.2.1 Overview
      2. 2.2.2 Data Mining
      3. 2.2.3 Secondary Research
      4. 2.2.4 Primary Research
        1. 2.2.4.1 Primary Interviews and Information Gathering Process
        2. 2.2.4.2 Breakdown of Primary Respondents
      5. 2.2.5 Forecasting Model
      6. 2.2.6 Market Size Estimation
        1. 2.2.6.1 Bottom-Up Approach
        2. 2.2.6.2 Top-Down Approach
      7. 2.2.7 Data Triangulation
      8. 2.2.8 Validation
  3. 3 SECTION III: QUALITATIVE ANALYSIS
    1. 3.1 MARKET DYNAMICS
      1. 3.1.1 Overview
      2. 3.1.2 Drivers
      3. 3.1.3 Restraints
      4. 3.1.4 Opportunities
    2. 3.2 MARKET FACTOR ANALYSIS
      1. 3.2.1 Value chain Analysis
      2. 3.2.2 Porter's Five Forces Analysis
        1. 3.2.2.1 Bargaining Power of Suppliers
        2. 3.2.2.2 Bargaining Power of Buyers
        3. 3.2.2.3 Threat of New Entrants
        4. 3.2.2.4 Threat of Substitutes
        5. 3.2.2.5 Intensity of Rivalry
      3. 3.2.3 COVID-19 Impact Analysis
        1. 3.2.3.1 Market Impact Analysis
        2. 3.2.3.2 Regional Impact
        3. 3.2.3.3 Opportunity and Threat Analysis
  4. 4 SECTION IV: QUANTITATIVE ANALYSIS
    1. 4.1 Pharmaceutical, BY Application (USD Million)
      1. 4.1.1 Medical Imaging
      2. 4.1.2 Predictive Analytics
      3. 4.1.3 Robotic Surgery
      4. 4.1.4 Clinical Trials
      5. 4.1.5 Virtual Health Assistants
    2. 4.2 Pharmaceutical, BY Technology (USD Million)
      1. 4.2.1 Machine Learning
      2. 4.2.2 Natural Language Processing
      3. 4.2.3 Computer Vision
      4. 4.2.4 Deep Learning
    3. 4.3 Pharmaceutical, BY End Use (USD Million)
      1. 4.3.1 Hospitals
      2. 4.3.2 Pharmaceutical Companies
      3. 4.3.3 Research Institutions
      4. 4.3.4 Diagnostic Centers
    4. 4.4 Pharmaceutical, BY Component (USD Million)
      1. 4.4.1 Software
      2. 4.4.2 Hardware
      3. 4.4.3 Services
  5. 5 SECTION V: COMPETITIVE ANALYSIS
    1. 5.1 Competitive Landscape
      1. 5.1.1 Overview
      2. 5.1.2 Competitive Analysis
      3. 5.1.3 Market share Analysis
      4. 5.1.4 Major Growth Strategy in the Pharmaceutical
      5. 5.1.5 Competitive Benchmarking
      6. 5.1.6 Leading Players in Terms of Number of Developments in the Pharmaceutical
      7. 5.1.7 Key developments and growth strategies
        1. 5.1.7.1 New Product Launch/Service Deployment
        2. 5.1.7.2 Merger & Acquisitions
        3. 5.1.7.3 Joint Ventures
      8. 5.1.8 Major Players Financial Matrix
        1. 5.1.8.1 Sales and Operating Income
        2. 5.1.8.2 Major Players R&D Expenditure. 2023
    2. 5.2 Company Profiles
      1. 5.2.1 IBM (US)
        1. 5.2.1.1 Financial Overview
        2. 5.2.1.2 Products Offered
        3. 5.2.1.3 Key Developments
        4. 5.2.1.4 SWOT Analysis
        5. 5.2.1.5 Key Strategies
      2. 5.2.2 Google (US)
        1. 5.2.2.1 Financial Overview
        2. 5.2.2.2 Products Offered
        3. 5.2.2.3 Key Developments
        4. 5.2.2.4 SWOT Analysis
        5. 5.2.2.5 Key Strategies
      3. 5.2.3 Microsoft (US)
        1. 5.2.3.1 Financial Overview
        2. 5.2.3.2 Products Offered
        3. 5.2.3.3 Key Developments
        4. 5.2.3.4 SWOT Analysis
        5. 5.2.3.5 Key Strategies
      4. 5.2.4 Amazon (US)
        1. 5.2.4.1 Financial Overview
        2. 5.2.4.2 Products Offered
        3. 5.2.4.3 Key Developments
        4. 5.2.4.4 SWOT Analysis
        5. 5.2.4.5 Key Strategies
      5. 5.2.5 Siemens Healthineers (DE)
        1. 5.2.5.1 Financial Overview
        2. 5.2.5.2 Products Offered
        3. 5.2.5.3 Key Developments
        4. 5.2.5.4 SWOT Analysis
        5. 5.2.5.5 Key Strategies
      6. 5.2.6 Philips (NL)
        1. 5.2.6.1 Financial Overview
        2. 5.2.6.2 Products Offered
        3. 5.2.6.3 Key Developments
        4. 5.2.6.4 SWOT Analysis
        5. 5.2.6.5 Key Strategies
      7. 5.2.7 GE Healthcare (US)
        1. 5.2.7.1 Financial Overview
        2. 5.2.7.2 Products Offered
        3. 5.2.7.3 Key Developments
        4. 5.2.7.4 SWOT Analysis
        5. 5.2.7.5 Key Strategies
      8. 5.2.8 CureMetrix (US)
        1. 5.2.8.1 Financial Overview
        2. 5.2.8.2 Products Offered
        3. 5.2.8.3 Key Developments
        4. 5.2.8.4 SWOT Analysis
        5. 5.2.8.5 Key Strategies
      9. 5.2.9 Aidoc (IL)
        1. 5.2.9.1 Financial Overview
        2. 5.2.9.2 Products Offered
        3. 5.2.9.3 Key Developments
        4. 5.2.9.4 SWOT Analysis
        5. 5.2.9.5 Key Strategies
      10. 5.2.10 Zebra Medical Vision (IL)
        1. 5.2.10.1 Financial Overview
        2. 5.2.10.2 Products Offered
        3. 5.2.10.3 Key Developments
        4. 5.2.10.4 SWOT Analysis
        5. 5.2.10.5 Key Strategies
    3. 5.3 Appendix
      1. 5.3.1 References
      2. 5.3.2 Related Reports
  6. 6 LIST OF FIGURES
    1. 6.1 MARKET SYNOPSIS
    2. 6.2 SOUTH KOREA MARKET ANALYSIS BY APPLICATION
    3. 6.3 SOUTH KOREA MARKET ANALYSIS BY TECHNOLOGY
    4. 6.4 SOUTH KOREA MARKET ANALYSIS BY END USE
    5. 6.5 SOUTH KOREA MARKET ANALYSIS BY COMPONENT
    6. 6.6 KEY BUYING CRITERIA OF PHARMACEUTICAL
    7. 6.7 RESEARCH PROCESS OF MRFR
    8. 6.8 DRO ANALYSIS OF PHARMACEUTICAL
    9. 6.9 DRIVERS IMPACT ANALYSIS: PHARMACEUTICAL
    10. 6.10 RESTRAINTS IMPACT ANALYSIS: PHARMACEUTICAL
    11. 6.11 SUPPLY / VALUE CHAIN: PHARMACEUTICAL
    12. 6.12 PHARMACEUTICAL, BY APPLICATION, 2024 (% SHARE)
    13. 6.13 PHARMACEUTICAL, BY APPLICATION, 2024 TO 2035 (USD Million)
    14. 6.14 PHARMACEUTICAL, BY TECHNOLOGY, 2024 (% SHARE)
    15. 6.15 PHARMACEUTICAL, BY TECHNOLOGY, 2024 TO 2035 (USD Million)
    16. 6.16 PHARMACEUTICAL, BY END USE, 2024 (% SHARE)
    17. 6.17 PHARMACEUTICAL, BY END USE, 2024 TO 2035 (USD Million)
    18. 6.18 PHARMACEUTICAL, BY COMPONENT, 2024 (% SHARE)
    19. 6.19 PHARMACEUTICAL, BY COMPONENT, 2024 TO 2035 (USD Million)
    20. 6.20 BENCHMARKING OF MAJOR COMPETITORS
  7. 7 LIST OF TABLES
    1. 7.1 LIST OF ASSUMPTIONS
  8. 7.1.1
    1. 7.2 South Korea MARKET SIZE ESTIMATES; FORECAST
      1. 7.2.1 BY APPLICATION, 2025-2035 (USD Million)
      2. 7.2.2 BY TECHNOLOGY, 2025-2035 (USD Million)
      3. 7.2.3 BY END USE, 2025-2035 (USD Million)
      4. 7.2.4 BY COMPONENT, 2025-2035 (USD Million)
    2. 7.3 PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
  9. 7.3.1
    1. 7.4 ACQUISITION/PARTNERSHIP
  10. 7.4.1

South Korea South Korea Healthcare Artificial Intelligence Market Segmentation

South Korea Healthcare Artificial Intelligence Market By Application (USD Million, 2025-2035)

  • Medical Imaging
  • Predictive Analytics
  • Robotic Surgery
  • Clinical Trials
  • Virtual Health Assistants

South Korea Healthcare Artificial Intelligence Market By Technology (USD Million, 2025-2035)

  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Deep Learning

South Korea Healthcare Artificial Intelligence Market By End Use (USD Million, 2025-2035)

  • Hospitals
  • South Korea Healthcare Artificial Intelligence Market Companies
  • Research Institutions
  • Diagnostic Centers

South Korea Healthcare Artificial Intelligence Market By Component (USD Million, 2025-2035)

  • Software
  • Hardware
  • Services

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