세계의 정밀의료 분야 인공지능(AI) 시장 규모, 점유율, 동향 분석 보고서 : 기술별, 컴포넌트별, 치료 용도별, 지역별, 부문 예측(2025-2030년)

Artificial Intelligence In Precision Medicine Market Growth & Trends:

The global artificial intelligence in precision medicine market size is estimated to reach USD 14.53 billion by 2030, registering to grow at a CAGR of 36.23% from 2025 to 2030 according to a new report by Grand View Research, Inc. The increasing demand for digital healthcare and clinical health records drives the market for AI in precision medicine. The demand for Electronic Medical Records (EMRs) in healthcare is considerably growing due to advancements in healthcare IT. One of the important applications for delivering timely medical services digitally is Electronic Medical Records (EMRs) accessed, managed, and generated by authorized workers inside a healthcare institution. Furthermore, the usage of EMRs is expanding quickly, necessitating greater development and easier applications, which is accomplished through the medical industry's cutting-edge IT sector.

According to the Henry J. Kaiser Family Foundation, a nonprofit healthcare organization located in the U.S., 45% of U.S. residents believe that have enhanced the quality of care in the medical industry. The increasing popularity of wearables in precision medicine is revolutionizing healthcare and empowering individuals to manage their well-being actively. Smartwatches, fitness trackers, and biosensors are among the wearable devices that are in high demand. These devices offer real-time data collection on various health indicators, making them invaluable tools. Wearables provide a wealth of information by continuously monitoring vital signs, physical activity, sleep patterns, and other biometric data.

This comprehensive understanding of an individual's health status allows healthcare providers to personalize treatment plans and interventions to meet their needs. The COVID-19 pandemic has accelerated the adoption of AI in the healthcare sector. AI applications have significantly improved various healthcare services, from precision medicine and population health to chronic disease management and medical imaging. The utilization of AI in managing COVID-19 has played a key role in expanding the market growth. An example is the development of a COVID-19 mortality risk calculator by a Johns Hopkins School of Public Health team, which utilized AI to guide public health initiatives and allocate resources for prevention, such as N-95 masks.

Artificial Intelligence In Precision Medicine Market Report Highlights:

• Software had a significant revenue share of 41.86% in 2024 and is expected to grow at the fastest CAGR during the forecast period.
• Based on technology, the deep learning segment dominated the market with a revenue share of 33.60% in 2024.
• Oncology had a significant revenue share of 30.25% in 2024.

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation & Scope
  • 1.1.1. Component
  • 1.1.2. Technology
  • 1.1.3. Therapeutic application
  • 1.1.4. Regional scope
  • 1.1.5. Estimates and forecast timeline.
• 1.2. Research Methodology
• 1.3. Information Procurement
  • 1.3.1. Purchased database.
  • 1.3.2. GVR's internal database
  • 1.3.3. Secondary sources
  • 1.3.4. Primary research
  • 1.3.5. Details of primary research
• 1.4. Information or Data Analysis
  • 1.4.1. Data analysis models
• 1.5. Market Formulation & Validation
• 1.6. Model Details
  • 1.6.1. Commodity flow analysis (Model 1)
• 1.7. List of Secondary Sources
• 1.8. List of Primary Sources
• 1.9. Objectives

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
  • 2.2.1. Component outlook
  • 2.2.2. Technology outlook
  • 2.2.3. Therapeutic application outlook
  • 2.2.4. Regional outlook
• 2.3. Competitive Insights

Chapter 3. Artificial Intelligence In Precision Medicine Market Variables, Trends & Scope

• 3.1. Market Lineage Outlook
  • 3.1.1. Parent market outlook
  • 3.1.2. Related/ancillary market outlook
• 3.2. Market Dynamics
  • 3.2.1. Market driver analysis
  • 3.2.2. Market restraint analysis
  • 3.2.3. Market opportunity analysis
  • 3.2.4. Market challenges analysis
• 3.3. Artificial Intelligence In Precision Medicine Market Analysis Tools
  • 3.3.1. Industry Analysis - Porter's
    • 3.3.1.1. Supplier power
    • 3.3.1.2. Buyer power
    • 3.3.1.3. Substitution threat
    • 3.3.1.4. Threat of new entrant
    • 3.3.1.5. Competitive rivalry
  • 3.3.2. PESTEL Analysis
    • 3.3.2.1. Political landscape
    • 3.3.2.2. Economic landscape
    • 3.3.2.3. Social landscape
    • 3.3.2.4. Technological landscape
    • 3.3.2.5. Environmental landscape
    • 3.3.2.6. Legal landscape
  • 3.3.3. COVID-19 Impact
• 3.4. Case Study
• 3.5. Technological Advancement

Chapter 4. Artificial Intelligence In Precision Medicine Market: Component Estimates & Trend Analysis

• 4.1. Component Market Share, 2024 & 2030
• 4.2. Segment Dashboard
• 4.3. Global Artificial Intelligence In Precision Medicine Market by Component Outlook
• 4.4. Software
  • 4.4.1. Market estimates and forecast 2018 to 2030 (USD Million)
• 4.5. Hardware
  • 4.5.1. Market estimates and forecast 2018 to 2030 (USD Million)
• 4.6. Services
  • 4.6.1. Market estimates and forecast 2018 to 2030 (USD Million)

Chapter 5. Artificial Intelligence In Precision Medicine Market: Technology Estimates & Trend Analysis

• 5.1. Technology Market Share, 2024 & 2030
• 5.2. Segment Dashboard
• 5.3. Global Artificial Intelligence In Precision Medicine Market by Technology Outlook
• 5.4. Deep Learning
  • 5.4.1. Market estimates and forecast 2018 to 2030 (USD Million)
• 5.5. Querying Method
  • 5.5.1. Market estimates and forecast 2018 to 2030 (USD Million)
• 5.6. Natural Language Processing
  • 5.6.1. Market estimates and forecast 2018 to 2030 (USD Million)
• 5.7. Context Aware Processing
  • 5.7.1. Market estimates and forecast 2018 to 2030 (USD Million)

Chapter 6. Artificial Intelligence In Precision Medicine Market: Therapeutic Application Estimates & Trend Analysis

• 6.1. Therapeutic Application Market Share, 2024 & 2030
• 6.2. Segment Dashboard
• 6.3. Global Artificial Intelligence In Precision Medicine Market by Therapeutic Application Outlook
• 6.4. Cardiology
  • 6.4.1. Market estimates and forecast 2018 to 2030 (USD Million)
• 6.5. Oncology
  • 6.5.1. Market estimates and forecast 2018 to 2030 (USD Million)
• 6.6. Respiratory
  • 6.6.1. Market estimates and forecast 2018 to 2030 (USD Million)
• 6.7. Neurology
  • 6.7.1. Market estimates and forecast 2018 to 2030 (USD Million)
• 6.8. Others
  • 6.8.1. Market estimates and forecast 2018 to 2030 (USD Million)

Chapter 7. Artificial Intelligence In Precision Medicine Market: Regional Estimates & Trend Analysis, By Component, By Technology, By Therapeutic Application

• 7.1. Regional Market Share Analysis, 2024 & 2030
• 7.2. Regional Market Dashboard
• 7.3. Global Regional Market Snapshot
• 7.4. Market Size, & Forecasts Trend Analysis, 2018 to 2030:
• 7.5. North America
  • 7.5.1. U.S.
    • 7.5.1.1. Key country dynamics
    • 7.5.1.2. Regulatory framework
    • 7.5.1.3. Competitive scenario
    • 7.5.1.4. U.S. market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.5.2. Canada
    • 7.5.2.1. Key country dynamics
    • 7.5.2.2. Regulatory framework
    • 7.5.2.3. Competitive scenario
    • 7.5.2.4. Canada market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.5.3. Mexico
    • 7.5.3.1. Key country dynamics
    • 7.5.3.2. Regulatory framework
    • 7.5.3.3. Competitive scenario
    • 7.5.3.4. Mexico market estimates and forecasts 2018 to 2030 (USD Million)
• 7.6. Europe
  • 7.6.1. UK
    • 7.6.1.1. Key country dynamics
    • 7.6.1.2. Regulatory framework
    • 7.6.1.3. Competitive scenario
    • 7.6.1.4. UK market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.6.2. Germany
    • 7.6.2.1. Key country dynamics
    • 7.6.2.2. Regulatory framework
    • 7.6.2.3. Competitive scenario
    • 7.6.2.4. Germany market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.6.3. France
    • 7.6.3.1. Key country dynamics
    • 7.6.3.2. Regulatory framework
    • 7.6.3.3. Competitive scenario
    • 7.6.3.4. France market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.6.4. Italy
    • 7.6.4.1. Key country dynamics
    • 7.6.4.2. Regulatory framework
    • 7.6.4.3. Competitive scenario
    • 7.6.4.4. Italy market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.6.5. Spain
    • 7.6.5.1. Key country dynamics
    • 7.6.5.2. Regulatory framework
    • 7.6.5.3. Competitive scenario
    • 7.6.5.4. Spain market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.6.6. Norway
    • 7.6.6.1. Key country dynamics
    • 7.6.6.2. Regulatory framework
    • 7.6.6.3. Competitive scenario
    • 7.6.6.4. Norway market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.6.7. Sweden
    • 7.6.7.1. Key country dynamics
    • 7.6.7.2. Regulatory framework
    • 7.6.7.3. Competitive scenario
    • 7.6.7.4. Sweden market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.6.8. Denmark
    • 7.6.8.1. Key country dynamics
    • 7.6.8.2. Regulatory framework
    • 7.6.8.3. Competitive scenario
    • 7.6.8.4. Denmark market estimates and forecasts 2018 to 2030 (USD Million)
• 7.7. Asia Pacific
  • 7.7.1. Japan
    • 7.7.1.1. Key country dynamics
    • 7.7.1.2. Regulatory framework
    • 7.7.1.3. Competitive scenario
    • 7.7.1.4. Japan market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.7.2. China
    • 7.7.2.1. Key country dynamics
    • 7.7.2.2. Regulatory framework
    • 7.7.2.3. Competitive scenario
    • 7.7.2.4. China market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.7.3. India
    • 7.7.3.1. Key country dynamics
    • 7.7.3.2. Regulatory framework
    • 7.7.3.3. Competitive scenario
    • 7.7.3.4. India market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.7.4. Australia
    • 7.7.4.1. Key country dynamics
    • 7.7.4.2. Regulatory framework
    • 7.7.4.3. Competitive scenario
    • 7.7.4.4. Australia market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.7.5. South Korea
    • 7.7.5.1. Key country dynamics
    • 7.7.5.2. Regulatory framework
    • 7.7.5.3. Competitive scenario
    • 7.7.5.4. South Korea market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.7.6. Thailand
    • 7.7.6.1. Key country dynamics
    • 7.7.6.2. Regulatory framework
    • 7.7.6.3. Competitive scenario
    • 7.7.6.4. Singapore market estimates and forecasts 2018 to 2030 (USD Million)
• 7.8. Latin America
  • 7.8.1. Brazil
    • 7.8.1.1. Key country dynamics
    • 7.8.1.2. Regulatory framework
    • 7.8.1.3. Competitive scenario
    • 7.8.1.4. Brazil market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.8.2. Argentina
    • 7.8.2.1. Key country dynamics
    • 7.8.2.2. Regulatory framework
    • 7.8.2.3. Competitive scenario
    • 7.8.2.4. Argentina market estimates and forecasts 2018 to 2030 (USD Million)
• 7.9. MEA
  • 7.9.1. South Africa
    • 7.9.1.1. Key country dynamics
    • 7.9.1.2. Regulatory framework
    • 7.9.1.3. Competitive scenario
    • 7.9.1.4. South Africa market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.9.2. Saudi Arabia
    • 7.9.2.1. Key country dynamics
    • 7.9.2.2. Regulatory framework
    • 7.9.2.3. Competitive scenario
    • 7.9.2.4. Saudi Arabia market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.9.3. UAE
    • 7.9.3.1. Key country dynamics
    • 7.9.3.2. Regulatory framework
    • 7.9.3.3. Competitive scenario
    • 7.9.3.4. UAE market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.9.4. Kuwait
    • 7.9.4.1. Key country dynamics
    • 7.9.4.2. Regulatory framework
    • 7.9.4.3. Competitive scenario
    • 7.9.4.4. Kuwait market estimates and forecasts 2018 to 2030 (USD Million)

Chapter 8. Competitive Landscape

• 8.1. Recent Developments & Impact Analysis, By Key Market Participants
• 8.2. Company/Competition Categorization
• 8.3. Innovators
• 8.4. Vendor Landscape
  • 8.4.1. Key company market share analysis, 2023
  • 8.4.2. BioXcel Therapeutics Inc.
    • 8.4.2.1. Company overview
    • 8.4.2.2. Financial performance
    • 8.4.2.3. Technology Type benchmarking
    • 8.4.2.4. Strategic initiatives
  • 8.4.3. Sanofi
    • 8.4.3.1. Company overview
    • 8.4.3.2. Financial performance
    • 8.4.3.3. Technology Type benchmarking
    • 8.4.3.4. Strategic initiatives
  • 8.4.4. NVIDIA Corporation
    • 8.4.4.1. Company overview
    • 8.4.4.2. Financial performance
    • 8.4.4.3. Technology Type benchmarking
    • 8.4.4.4. Strategic initiatives
  • 8.4.5. Alphabet Inc. (Google Inc.)
    • 8.4.5.1. Company overview
    • 8.4.5.2. Financial performance
    • 8.4.5.3. Technology Type benchmarking
    • 8.4.5.4. Strategic initiatives
  • 8.4.6. IBM
    • 8.4.6.1. Company overview
    • 8.4.6.2. Financial performance
    • 8.4.6.3. Technology Type benchmarking
    • 8.4.6.4. Strategic initiatives
  • 8.4.7. Microsoft
    • 8.4.7.1. Company overview
    • 8.4.7.2. Financial performance
    • 8.4.7.3. Technology Type benchmarking
    • 8.4.7.4. Strategic initiatives
  • 8.4.8. Intel Corp.
    • 8.4.8.1. Company overview
    • 8.4.8.2. Financial performance
    • 8.4.8.3. Technology Type benchmarking
    • 8.4.8.4. Strategic initiatives
  • 8.4.9. AstraZeneca plc
    • 8.4.9.1. Company overview
    • 8.4.9.2. Financial performance
    • 8.4.9.3. Technology Type benchmarking
    • 8.4.9.4. Strategic initiatives
  • 8.4.10. GE Healthcare
    • 8.4.10.1. Company overview
    • 8.4.10.2. Financial performance
    • 8.4.10.3. Technology Type benchmarking
    • 8.4.10.4. Strategic initiatives
  • 8.4.11. Enlitic, Inc.
    • 8.4.11.1. Company overview
    • 8.4.11.2. Financial performance
    • 8.4.11.3. Technology Type benchmarking
    • 8.4.11.4. Strategic initiatives