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

The global artificial intelligence in precision medicine market size is expected to reach USD 53.29 Billion in 2034 from USD 3.35 Billion in 2025, growing at a CAGR of 36.01% during 2026-2034.This market is advancing as healthcare providers and researchers increasingly seek personalized approaches to diagnosis, treatment, and patient management. Artificial intelligence can analyze extensive clinical, genomic, imaging, and lifestyle datasets to identify patterns that may support individualized healthcare decisions. Growing investments in digital health infrastructure and precision medicine research are encouraging adoption across hospitals, pharmaceutical companies, and research institutions. The increasing availability of electronic health records and advanced diagnostic technologies is also providing valuable data resources for developing intelligent healthcare applications.

A major driver is the growing demand for treatments tailored to individual patient characteristics. AI can help clinicians identify potential treatment responses, assess disease risks, and support more accurate diagnosis. Pharmaceutical companies are using predictive models to improve drug discovery, patient stratification, and clinical trial design. Advances in machine learning, medical imaging, genomics, and predictive analytics are expanding the range of applications. Increasing collaboration among healthcare organizations, technology providers, biotechnology companies, and academic institutions is also accelerating the development of AI-enabled precision healthcare solutions.

Future opportunities are expected to increase as AI becomes more deeply integrated into clinical workflows and research environments. Emerging applications may include personalized cancer treatment, rare disease diagnosis, predictive disease management, and individualized drug selection. Greater access to high-quality healthcare data could improve model performance, while explainable AI may increase clinician confidence. However, privacy, cybersecurity, regulatory compliance, algorithmic bias, and interoperability will remain important considerations. Continued technological advancement and supportive healthcare policies are likely to create a stronger foundation for AI-driven precision medicine over the coming years.

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

• Software
• Hardware
• Services

By Technology

• Deep Learning
• Querying Method
• Natural Language Processing
• Context-Aware Processing

By Therapeutic Application

• Oncology
• Cardiology
• Neurology
• Respiratory
• Others

COMPANIES PROFILED

• BenevolentAI, Butterfly Network, GE HealthCare Technologies Inc., Google Health (Alphabet Inc.), IBM Corporation, Illumina, Inc., Microsoft Corporation, Nanox (Zebra Medical Vision), NVIDIA Corporation, PathAI, Philips Healthcare (Koninklijke Philips N.V.), Recursion Pharmaceuticals, Roche (Foundation Medicine), Siemens Healthineers, Tempus AI, 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 PRECISION MEDICINE MARKET: BY COMPONENT 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Component
• 4.2. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Hardware 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 PRECISION MEDICINE MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Technology
• 5.2. Deep Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Querying Method Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Natural Language Processing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Context-Aware Processing Estimates and Forecasts By Regions 2022-2034 (USD MN)

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

• 6.1. Market Analysis, Insights and Forecast Therapeutic Application
• 6.2. Oncology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Cardiology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Neurology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Respiratory Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.6. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE 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 Component
  • 7.2.2 By Technology
  • 7.2.3 By Therapeutic Application
  • 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 Component
  • 7.3.2 By Technology
  • 7.3.3 By Therapeutic Application
  • 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 Component
  • 7.4.2 By Technology
  • 7.4.3 By Therapeutic Application
  • 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 Component
  • 7.5.2 By Technology
  • 7.5.3 By Therapeutic Application
  • 7.5.4 Brazil
  • 7.5.5 Argentina
  • 7.5.6 Peru
  • 7.5.7 Chile
  • 7.5.8 Rest of Latin America
• 7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.6.1 By Component
  • 7.6.2 By Technology
  • 7.6.3 By Therapeutic Application
  • 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 PRECISION MEDICINE INDUSTRY

• 9.1. Top Companies Market Share Analysis
• 9.2. Company Profiles
  • 9.2.1 BenevolentAI
  • 9.2.2 Butterfly Network
  • 9.2.3 GE HealthCare Technologies Inc
  • 9.2.4 Google Health (Alphabet Inc.)
  • 9.2.5 IBM Corporation
  • 9.2.6 IlluminaInc
  • 9.2.7 Microsoft Corporation
  • 9.2.8 Nanox (Zebra Medical Vision)
  • 9.2.9 NVIDIA Corporation
  • 9.2.10 PathAI
  • 9.2.11 Philips Healthcare (Koninklijke Philips N.V.)
  • 9.2.12 Recursion Pharmaceuticals
  • 9.2.13 Roche (Foundation Medicine)
  • 9.2.14 Siemens Healthineers
  • 9.2.15 Tempus AIInc