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市場調查報告書
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2112636

2026-2034年全球精準醫療人工智慧（AI）市場規模、佔有率、趨勢和成長分析報告

Global Artificial Intelligence In Precision Medicine Market Size, Share, Trends & Growth Analysis Report 2026-2034
出版日期: | 出版商: Value Market Research | 英文 187 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

全球精準醫療人工智慧（AI）市場預計將從2025年的33.5億美元成長至2034年的532.9億美元，2026年至2034年的複合年成長率（CAGR）將達到36.01%。隨著醫療專業人員和研究人員對診斷、治療和患者管理方面個人化方法的需求日益成長，該市場正在不斷擴張。人工智慧可以分析大量的臨床、基因組、影像和生活方式數據，從而識別可能支持個人化醫療決策的模式。對數位醫療基礎設施和精準醫療研究的持續投入正在推動醫院、製藥公司和研究機構採用人工智慧技術。電子健康記錄和先進診斷技術的日益普及也為智慧醫療應用的開發提供了寶貴的數據資源。

推動人工智慧發展的關鍵因素之一是人們對根據個別患者特徵量身定做的個人化治療方案的需求日益成長。人工智慧可以幫助臨床醫生識別潛在的治療反應、評估疾病風險並做出更準確的診斷。製藥公司正在利用預測模型來改善藥物研發、病患分層和臨床試驗設計。機器學習、醫學影像、基因組學和預測分析領域的進步正在拓展人工智慧的應用範圍。隨著醫療機構、技術提供者、生物技術公司和學術機構之間合作的不斷深化，人工智慧驅動的精準醫療解決方案的發展也正在加速推進。

隨著人工智慧與臨床工作流程和研究環境的整合日益深入，未來的機會預計將會增加。新的應用實例包括個人化癌症治療、罕見疾病診斷、疾病預測管理以及個人化藥物選擇。高品質醫療數據的取得將提升模型效能，而可解釋人工智慧則有望增強臨床醫生的信心。然而，隱私、網路安全、監管合規性、演算法偏差和互通性仍將是重要的考量。隨著技術的不斷進步和醫療政策的支持，人工智慧主導的精準醫療的基礎有望在未來幾年內更加穩固。

我們的報告經過精心撰寫，旨在提供涵蓋廣泛行業和市場的全面且切實可行的洞察。每份報告都包含幾個關鍵組成部分，旨在幫助您全面了解市場環境：

市場概覽：本節對市場進行了清晰的說明，包括關鍵定義、分類以及當前行業格局的概述。

市場動態：對影響市場成長的主要促進因素、限制因素、機會和挑戰進行詳細評估。這包括技術發展、法律規範和不斷變化的行業趨勢等因素。

市場區隔分析：本部分依據產品類型、應用、最終使用者和地區，將市場系統性地分類為若干關鍵細分市場。本部分揭示了每個細分市場的表現、成長潛力和市場貢獻。

競爭格局：我們對主要市場參與企業進行詳細評估，包括其市場定位、產品系列、策略舉措和財務表現。這有助於深入了解競爭趨勢和主要參與者所採取的策略。

市場預測：本部分基於數據，對預測期內的市場規模和成長模式進行展望。它綜合考慮了歷史趨勢、當前市場狀況和定量分析，以揭示未來發展趨勢。

區域分析：這包括對主要地理區域的市場表現進行全面檢驗，確定高成長領域和區域趨勢，以更深入地了解每個區域的市場機會。

新趨勢與新機會：識別關鍵市場趨勢、技術進步和新興投資機會。本部分重點在於潛在成長領域和未來產業趨勢。

客製化選項：我們提供靈活的報告客製化服務，以滿足您的特定需求。這包括額外的細分、國家/地區分析、競爭對手分析、客製化資料點或針對特定細分市場的洞察，從而更有效地支援您的策略決策。

目錄

第1章：引言

第2章執行摘要

第3章 市場變數、趨勢與框架

  • 市場譜系展望
  • 滲透率和成長前景分析
  • 價值鏈分析
  • 法律規範
    • 標準與合規性
    • 監管影響分析
  • 市場動態
    • 市場促進因素
    • 市場限制因素
    • 市場機遇
    • 市場挑戰
  • 波特五力分析
  • PESTLE分析

第4章：全球精準醫療人工智慧（AI）市場：按組件分類

  • 市場分析、洞察與預測
  • 軟體
  • 硬體
  • 服務

第5章：全球精準醫療人工智慧（AI）市場：依技術分類

  • 市場分析、洞察與預測
  • 深度學習
  • 查詢方法
  • 自然語言處理
  • 情境感知處理

第6章：全球人工智慧（AI）精準醫療市場：依治療應用分類

  • 市場分析、洞察與預測
  • 腫瘤學
  • 循環系統
  • 神經病學
  • 呼吸系統
  • 其他

第7章：全球精準醫療人工智慧（AI）市場：按地區分類

  • 區域分析
  • 北美市場分析、洞察與預測
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲市場分析、洞察與預測
    • 英國
    • 法國
    • 德國
    • 義大利
    • 俄羅斯
    • 其他歐洲國家
  • 亞太市場分析、洞察與預測
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 東南亞
    • 其他亞太國家
  • 拉丁美洲市場分析、洞察與預測
    • 巴西
    • 阿根廷
    • 秘魯
    • 智利
    • 其他拉丁美洲國家
  • 中東和非洲市場分析、洞察與預測
    • 沙烏地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中東和非洲國家

第8章 競爭情勢

  • 最新趨勢
  • 公司分類
  • 供應鏈和銷售管道合作夥伴（根據現有資訊）
  • 市場佔有率和市場定位分析（基於現有資訊）
  • 供應商情況（基於現有資訊）
  • 策略規劃

第9章：公司簡介

  • 主要公司的市佔率分析
  • 公司簡介
    • BenevolentAI
    • Butterfly Network
    • GE HealthCare Technologies Inc
    • Google Health（Alphabet Inc.）
    • IBM Corporation
    • IlluminaInc
    • Microsoft Corporation
    • Nanox（Zebra Medical Vision）
    • NVIDIA Corporation
    • PathAI
    • Philips Healthcare（Koninklijke Philips NV）
    • Recursion Pharmaceuticals
    • Roche（Foundation Medicine）
    • Siemens Healthineers
    • Tempus AIInc
簡介目錄
Product Code: VMR112110292

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