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2026年全球醫療保健領域生成式人工智慧市場報告

Generative AI In Medicine Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來，醫療領域生成式人工智慧的市場規模呈現爆炸性成長。預計該市場規模將從2025年的9.5億美元成長到2026年的13.6億美元，複合年成長率高達43.7%。過去幾年的成長主要歸功於醫學影像技術的進步、醫院和診所對人工智慧的日益普及、臨床研究投入的增加、對個人化醫療需求的成長以及用於增強電子健康記錄（EHR）的工具的開發。

預計未來幾年，醫療保健領域生成式人工智慧的市場規模將大幅成長。到2030年，該市場規模預計將達到57.7億美元，複合年成長率（CAGR）高達43.4%。預測期內的成長預計將受到以下因素的推動：人工智慧驅動的藥物研發解決方案的擴展、生成式人工智慧在治療方案製定中的應用、虛擬護理助理的日益普及、機器人輔助人工智慧手術的採用以及患者數據預測分析的擴展。預測期內的關鍵趨勢包括：人工智慧驅動的診斷工具、個人化治療方案製定、虛擬護理助理、機器人輔助人工智慧手術、病患資料分析和預測醫學。

數位健康記錄的激增預計將推動醫療保健領域生成式人工智慧市場的成長。數位健康記錄，也稱為電子健康記錄 (EHR)，是對電子儲存的患者健康資訊的系統性收集，它能夠實現跨醫療保健環境的數據共用，並提高醫療服務的品質和效率。數位健康記錄的成長得益於患者照護的改善、醫療服務效率的提高、監管支援、技術進步以及病人參與的增強。醫療保健領域的人工智慧 (AI) 透過自動建立文件、建立臨床數據結構、生成預測性見解以及創建個人化摘要來增強數位健康記錄，從而提高準確性、可訪問性和患者療效。例如，根據歐盟執行機構歐盟委員會的數據，截至 2024 年 7 月，電子健康記錄的存取率已從 2023 年的 72% 成長到 2024 年的 79%。因此，電子健康記錄的普及正在促進醫療保健領域生成式人工智慧 (AI) 市場的成長。

在醫療領域，主要企業正致力於開發創新技術，例如用於大腦健康和福祉的AI解決方案，以推進認知功能評估、改善患者照護並加強心理健康管理。用於大腦健康和福祉的AI解決方案是旨在評估、監測和支持認知功能和心理健康的先進技術。例如，總部位於加拿大的DiagnaMed Holdings Corp.於2024年2月發布了CERVAI，這是一款專門針對人類心理健康和福祉的AI解決方案。 CERVAI利用先進的演算法分析認知功能測試、腦部影像和其他輸入數據，提供個人化評估和可操作的建議，從而支持對認知問題的早期發現和針對性干預。

目錄

第1章：執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球醫療保健領域生成式人工智慧市場：吸引力評分與分析
  • 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 清單：主要原料、資源和供應商
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章：全球市場趨勢與策略

  • 關鍵科技與未來趨勢
    • 人工智慧（AI）和自主人工智慧
    • 生物技術、基因組學和精準醫療
    • 數位化、雲端運算、巨量資料、網路安全
    • 工業4.0和智慧製造
    • 身臨其境型技術（AR/VR/XR）與數位體驗
  • 主要趨勢
    • 人工智慧驅動的診斷工具
    • 個人化治療方案
    • 虛擬護理助理
    • 機器人輔助人工智慧手術
    • 患者數據分析和預測醫學

第5章 終端用戶產業市場分析

  • 醫院和診所
  • 臨床研究機構
  • 醫療機構
  • 診斷中心
  • 製藥公司

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及 COVID-19 疫情對市場的影響。

第7章：全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球醫療保健領域生成式人工智慧市場：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 全球醫療保健生成式人工智慧市場規模、對比及成長率分析
  • 全球醫療保健生成式人工智慧市場表現：規模與成長，2020-2025年
  • 全球醫療保健領域生成式人工智慧市場預測：規模與成長，2025-2030年，2035年預測

第8章：全球市場總規模（TAM）

第9章 市場細分

  • 按組件
  • 解決方案、服務
  • 按功能
  • 虛擬護理助理、機器人輔助人工智慧手術、管理流程最佳化、醫學影像分析
  • 透過使用
  • 醫學影像、藥物研發、醫學診斷、病患資料分析及其他應用
  • 最終用戶
  • 醫院和診所、臨床研究機構、醫療設施、診斷中心和其他最終用戶
  • 按類型細分：解決方案
  • 診斷工具、治療計劃系統、個人化醫療平台、藥物發現和開發解決方案、醫學影像和分析軟體以及電子健康記錄 (EHR) 增強工具。
  • 按類型細分：服務
  • 諮詢服務、實施和整合服務、培訓和教育服務、技術支援和維護、研發服務

第10章 市場與產業指標：依國家分類

第11章 區域與國別分析

  • 全球醫療保健領域生成式人工智慧市場：按地區分類，實際結果和預測，2020-2025年、2025-2030年、2035年
  • 全球醫療保健領域生成式人工智慧市場：按國家/地區分類，實際結果和預測，2020-2025 年、2025-2030 年、2035 年

第12章 亞太市場

第13章：中國市場

第14章：印度市場

第15章：日本市場

第16章：澳洲市場

第17章：印尼市場

第18章：韓國市場

第19章 台灣市場

第20章：東南亞市場

第21章 西歐市場

第22章英國市場

第23章：德國市場

第24章：法國市場

第25章：義大利市場

第26章：西班牙市場

第27章 東歐市場

第28章：俄羅斯市場

第29章 北美市場

第30章：美國市場

第31章：加拿大市場

第32章：南美洲市場

第33章：巴西市場

第34章 中東市場

第35章：非洲市場

第36章 市場監理與投資環境

第37章：競爭格局與公司概況

  • 醫療保健領域生成式人工智慧市場：競爭格局與市場佔有率（2024 年）
  • 醫療保健領域生成式人工智慧市場：公司估值矩陣
  • 醫療保健領域的生成式人工智慧市場：公司概況
    • Microsoft Corporation
    • Intel Corporation
    • International Business Machines Corporation
    • NVIDIA Corporation
    • Philips Healthcare

第38章 其他大型企業和創新企業

  • Veeva Systems Inc., Nuance Communications Inc., Babylon Health Ltd., Tempus Labs Inc., DeepMind Technologies Limited, Owkin Inc., Viz.AI Inc., Recursion Pharmaceuticals Inc., Caresyntax Inc., Relay Therapeutics Inc., Exscientia plc, Paige AI Inc., BenevolentAI Limited, Atomwise Inc., Healx Ltd.

第39章 全球市場競爭基準分析與儀錶板

第40章 重大併購

第41章 具有高市場潛力的國家、細分市場與策略

  • 2030年醫療保健領域生成式人工智慧市場：提供新機會的國家
  • 2030年醫療保健領域生成式人工智慧市場：新興細分市場機會
  • 2030年醫療保健領域生成式人工智慧市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第42章附錄

簡介目錄
Product Code: IT5MGAMI06_G26Q1

Generative artificial intelligence (AI) in medicine involves using AI systems to create new data, models, or insights to advance healthcare and medical research. Its goal is to enhance diagnosis, treatment, and overall patient care by leveraging data-driven insights and innovative solutions.

Key components of generative AI in medicine include solutions and services. In this context, solutions refer to the advanced technologies and tools designed to improve healthcare delivery and outcomes. These solutions cover a broad range of applications, such as AI-driven diagnostic tools, virtual nursing assistants, and platforms for medical imaging analysis. Key functions include virtual nursing assistants, robot-assisted AI surgery, administrative process optimization, and medical imaging analysis. Applications span medical imaging, drug discovery, medical diagnosis, patient data analysis, and more. These technologies are utilized by various end-users, including hospitals and clinics, clinical research organizations, healthcare organizations, diagnostic centers, and others.

Tariffs have impacted the generative AI in medicine market by increasing the costs of imported AI software platforms, medical imaging devices, and robotic surgery equipment. Regions such as North America, Europe, and Asia-Pacific, which host major hospitals, research institutions, and diagnostic centers, are most affected. The tariffs can lead to higher implementation costs for advanced AI solutions in medical imaging, drug discovery, and robotic surgeries. However, tariffs are also encouraging local innovation in AI medical devices and software development, potentially accelerating regional adoption of generative AI in healthcare.

The generative AI in medicine market research report is one of a series of new reports from The Business Research Company that provides generative AI in medicine market statistics, including generative AI in medicine industry global market size, regional shares, competitors with a generative AI in medicine market share, detailed generative AI in medicine market segments, market trends and opportunities, and any further data you may need to thrive in the generative AI in medicine industry. This generative AI in medicine market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The generative AI in medicine market size has grown exponentially in recent years. It will grow from $0.95 billion in 2025 to $1.36 billion in 2026 at a compound annual growth rate (CAGR) of 43.7%. The growth in the historic period can be attributed to advancements in medical imaging technologies, increasing adoption of AI in hospitals and clinics, growth in clinical research initiatives, rising demand for personalized medicine, development of electronic health record (ehr) enhancement tools.

The generative AI in medicine market size is expected to see exponential growth in the next few years. It will grow to $5.77 billion in 2030 at a compound annual growth rate (CAGR) of 43.4%. The growth in the forecast period can be attributed to expansion of AI-assisted drug discovery solutions, integration of generative AI in treatment planning, increased use of virtual nursing assistants, adoption of robot-assisted AI surgery, growth in predictive patient data analytics. Major trends in the forecast period include AI-driven diagnostic tools, personalized treatment planning, virtual nursing assistants, robot-assisted AI surgery, patient data analysis and predictive healthcare.

The surge in digital health records is expected to support the growth of the generative artificial intelligence (AI) in medicine market going forward. Digital health records, also known as electronic health records (EHRs), are organized collections of patient health information stored electronically, enabling data sharing across healthcare environments and improving care quality and efficiency. The increase in digital health records is driven by improvements in patient care, greater efficiency in healthcare delivery, regulatory backing, technological advancements, and enhanced patient engagement. Artificial intelligence (AI) in medicine enhances digital health records by automating documentation, structuring clinical data, generating predictive insights, and creating personalized summaries to improve accuracy, accessibility, and patient outcomes. For example, in July 2024, according to the European Commission, a Belgium-based executive body of the European Union, access to electronic health records increased to 79% in 2024 from 72% in 2023. Therefore, the expansion of digital health records is contributing to the growth of the generative artificial intelligence (AI) in medicine market.

Leading companies operating in the generative artificial intelligence (AI) in medicine market are focused on developing innovative technologies, such as AI solutions for brain health and wellness, to advance cognitive assessment, enhance patient care, and improve mental health management. AI solutions for brain health and wellness are advanced technologies designed to assess, monitor, and support cognitive function and mental well-being. For example, in February 2024, DiagnaMed Holdings Corp., a Canada-based developer of AI-powered digital therapeutics, launched CERVAI, an AI solution dedicated to human mental health and wellness. CERVAI uses advanced algorithms to analyze cognitive tests, brain imaging, and other data inputs, providing personalized assessments and actionable recommendations that support early detection of cognitive issues and targeted interventions.

In December 2024, General Inception, a US-based biotech company igniter, acquired Enable Medicine for an undisclosed amount. Through this acquisition, General Inception aims to advance its generative AI and biological data capabilities by integrating Enable Medicine's platform, which applies generative AI to search disease-related cellular atlases and uncover novel therapeutic insights. Enable Medicine is a US-based software company specializing in AI-driven generative biological search for drug discovery.

Major companies operating in the generative AI in medicine market are Microsoft Corporation, Intel Corporation, International Business Machines Corporation, NVIDIA Corporation, Philips Healthcare, Veeva Systems Inc., Nuance Communications Inc., Babylon Health Ltd., Tempus Labs Inc., DeepMind Technologies Limited, Owkin Inc., Viz.AI Inc., Recursion Pharmaceuticals Inc., Caresyntax Inc., Relay Therapeutics Inc., Exscientia plc, Paige AI Inc., BenevolentAI Limited, Atomwise Inc., Healx Ltd., Zebra Medical Vision Ltd., Eyenuk Inc., Syntegra Ltd., Arterys Inc.

North America was the largest region in the generative artificial intelligence (AI) in medicine market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in medicine market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the generative AI in medicine market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative artificial intelligence (AI) in medicine market consists of revenues earned by entities providing services such as drug discovery and development, clinical trials, diagnostics, and virtual health assistants. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence (AI) in medicine market also includes medical imaging analysis tools, drug discovery platforms, clinical decision support systems, patient data synthesis solutions, administrative automation software, and precision medicine applications. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Generative AI In Medicine Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses generative AI in medicine market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
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Where is the largest and fastest growing market for generative AI in medicine ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The generative AI in medicine market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Component: Solutions; Service
  • 2) By Function: Virtual Nursing Assistants; Robot-Assisted AI Surgery; Administrative Process Optimization; Medical Imaging Analysis
  • 3) By Application: Medical Imaging; Drug Discovery; Medical Diagnosis; Patient Data Analysis; Other Applications
  • 4) By End-User: Hospitals And Clinics; Clinical Research; Healthcare Organizations; Diagnostic Centers; Other End-Users
  • Subsegments:
  • 1) By Solutions: Diagnostic Tools; Treatment Planning Systems; Personalized Medicine Platforms; Drug Discovery And Development Solutions; Medical Imaging And Analysis Software; Electronic Health Record (EHR) Enhancement Tools
  • 2) By Services: Consulting Services; Implementation And Integration Services; Training And Education Services; Technical Support And Maintenance; Research And Development Services.
  • Companies Mentioned: Microsoft Corporation; Intel Corporation; International Business Machines Corporation; NVIDIA Corporation; Philips Healthcare; Veeva Systems Inc.; Nuance Communications Inc.; Babylon Health Ltd.; Tempus Labs Inc.; DeepMind Technologies Limited; Owkin Inc.; Viz.AI Inc.; Recursion Pharmaceuticals Inc.; Caresyntax Inc.; Relay Therapeutics Inc.; Exscientia plc; Paige AI Inc.; BenevolentAI Limited; Atomwise Inc.; Healx Ltd.; Zebra Medical Vision Ltd.; Eyenuk Inc.; Syntegra Ltd.; Arterys Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
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Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Generative AI In Medicine Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Generative AI In Medicine Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Generative AI In Medicine Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Generative AI In Medicine Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Biotechnology, Genomics & Precision Medicine
    • 4.1.3 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.4 Industry 4.0 & Intelligent Manufacturing
    • 4.1.5 Immersive Technologies (Ar/Vr/Xr) & Digital Experiences
  • 4.2. Major Trends
    • 4.2.1 AI-Driven Diagnostic Tools
    • 4.2.2 Personalized Treatment Planning
    • 4.2.3 Virtual Nursing Assistants
    • 4.2.4 Robot-Assisted AI Surgery
    • 4.2.5 Patient Data Analysis And Predictive Healthcare

5. Generative AI In Medicine Market Analysis Of End Use Industries

  • 5.1 Hospitals And Clinics
  • 5.2 Clinical Research Organizations
  • 5.3 Healthcare Organizations
  • 5.4 Diagnostic Centers
  • 5.5 Pharmaceutical Companies

6. Generative AI In Medicine Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Generative AI In Medicine Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Generative AI In Medicine PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Generative AI In Medicine Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Generative AI In Medicine Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Generative AI In Medicine Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Generative AI In Medicine Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Generative AI In Medicine Market Segmentation

  • 9.1. Global Generative AI In Medicine Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Solutions, Service
  • 9.2. Global Generative AI In Medicine Market, Segmentation By Function, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Virtual Nursing Assistants, Robot-Assisted AI Surgery, Administrative Process Optimization, Medical Imaging Analysis
  • 9.3. Global Generative AI In Medicine Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Medical Imaging, Drug Discovery, Medical Diagnosis, Patient Data Analysis, Other Applications
  • 9.4. Global Generative AI In Medicine Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Hospitals And Clinics, Clinical Research, Healthcare Organizations, Diagnostic Centers, Other End-Users
  • 9.5. Global Generative AI In Medicine Market, Sub-Segmentation Of Solutions, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Diagnostic Tools, Treatment Planning Systems, Personalized Medicine Platforms, Drug Discovery And Development Solutions, Medical Imaging And Analysis Software, Electronic Health Record (EHR) Enhancement Tools
  • 9.6. Global Generative AI In Medicine Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Consulting Services, Implementation And Integration Services, Training And Education Services, Technical Support And Maintenance, Research And Development Services

10. Generative AI In Medicine Market, Industry Metrics By Country

  • 10.1. Global Generative AI In Medicine Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Generative AI In Medicine Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. Generative AI In Medicine Market Regional And Country Analysis

  • 11.1. Global Generative AI In Medicine Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Generative AI In Medicine Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Generative AI In Medicine Market

  • 12.1. Asia-Pacific Generative AI In Medicine Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. Asia-Pacific Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Generative AI In Medicine Market

  • 13.1. China Generative AI In Medicine Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Generative AI In Medicine Market

  • 14.1. India Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Generative AI In Medicine Market

  • 15.1. Japan Generative AI In Medicine Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Generative AI In Medicine Market

  • 16.1. Australia Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Generative AI In Medicine Market

  • 17.1. Indonesia Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Generative AI In Medicine Market

  • 18.1. South Korea Generative AI In Medicine Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Generative AI In Medicine Market

  • 19.1. Taiwan Generative AI In Medicine Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Generative AI In Medicine Market

  • 20.1. South East Asia Generative AI In Medicine Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. South East Asia Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Generative AI In Medicine Market

  • 21.1. Western Europe Generative AI In Medicine Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 21.2. Western Europe Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Generative AI In Medicine Market

  • 22.1. UK Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Generative AI In Medicine Market

  • 23.1. Germany Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Generative AI In Medicine Market

  • 24.1. France Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Generative AI In Medicine Market

  • 25.1. Italy Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Generative AI In Medicine Market

  • 26.1. Spain Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Generative AI In Medicine Market

  • 27.1. Eastern Europe Generative AI In Medicine Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 27.2. Eastern Europe Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Generative AI In Medicine Market

  • 28.1. Russia Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Generative AI In Medicine Market

  • 29.1. North America Generative AI In Medicine Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. North America Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Generative AI In Medicine Market

  • 30.1. USA Generative AI In Medicine Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Generative AI In Medicine Market

  • 31.1. Canada Generative AI In Medicine Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Generative AI In Medicine Market

  • 32.1. South America Generative AI In Medicine Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 32.2. South America Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Generative AI In Medicine Market

  • 33.1. Brazil Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Generative AI In Medicine Market

  • 34.1. Middle East Generative AI In Medicine Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Middle East Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Generative AI In Medicine Market

  • 35.1. Africa Generative AI In Medicine Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 35.2. Africa Generative AI In Medicine Market, Segmentation By Component, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Generative AI In Medicine Market Regulatory and Investment Landscape

37. Generative AI In Medicine Market Competitive Landscape And Company Profiles

  • 37.1. Generative AI In Medicine Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Generative AI In Medicine Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Generative AI In Medicine Market Company Profiles
    • 37.3.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. Philips Healthcare Overview, Products and Services, Strategy and Financial Analysis

38. Generative AI In Medicine Market Other Major And Innovative Companies

  • Veeva Systems Inc., Nuance Communications Inc., Babylon Health Ltd., Tempus Labs Inc., DeepMind Technologies Limited, Owkin Inc., Viz.AI Inc., Recursion Pharmaceuticals Inc., Caresyntax Inc., Relay Therapeutics Inc., Exscientia plc, Paige AI Inc., BenevolentAI Limited, Atomwise Inc., Healx Ltd.

39. Global Generative AI In Medicine Market Competitive Benchmarking And Dashboard

40. Key Mergers And Acquisitions In The Generative AI In Medicine Market

41. Generative AI In Medicine Market High Potential Countries, Segments and Strategies

  • 41.1. Generative AI In Medicine Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. Generative AI In Medicine Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. Generative AI In Medicine Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer