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市場調查報告書
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1958436

全球精準醫療人工智慧市場（至 2040 年）：依組件類型、技術類型、治療領域和主要地區劃分：行業趨勢和預測

AI in Precision Medicine Market, till 2040: Distribution by Type of Component, Type of Technology, Therapeutic Area and Key Geographical Regions: Industry Trends and Global Forecasts
出版日期: | 出版商: Roots Analysis | 英文 184 Pages | 商品交期: 7-10個工作天內

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簡介目錄

精準醫療人工智慧市場展望

預計到 2040 年，全球精準醫療人工智慧市場規模將從目前的 39.7 億美元增長至 1,258.1 億美元，預測期內複合年增長率 (CAGR) 為 28%。

精準醫療人工智慧利用先進的演算法和機器學習技術處理來自生物、臨床和遺傳來源的大量複雜資料集。透過識別疾病模式、預測治療反應和優化患者特定介入措施，實現個人化診斷和治療。最終提高醫療保健的準確性和整體療效。

受全球慢性病和遺傳疾病負擔日益加重、推動對個人化治療需求成長的因素影響，精準醫療人工智慧市場正經歷強勁成長。 人工智慧驅動的精準診斷和治療日益普及，進一步推動了這個市場擴張。人工智慧擅長分析複雜的生物數據。人工智慧平台的進步和創新產品的開發正在提高幹預措施的準確性和效率。此外，領先企業加強研發和策略性產品發布也在推動市場成長。

精準醫療市場中的人工智慧-IMG1

精準醫療人工智慧市場的主要成長驅動因素

包括癌症、糖尿病和心血管疾病在內的慢性病和遺傳性疾病的日益普遍，推動了對精準醫療人工智慧的需求。這一趨勢使得更準確的診斷、個人化的治療方案和預測性醫療成為可能。值得注意的是，人工智慧演算法能夠分析廣泛的基因組、臨床、生活方式和分子數據，從而發現疾病模式、基因突變和治療標靶。同時，對個人化醫療和精準診斷日益增長的需求正在推動市場發展。人工智慧能夠實現個人化治療策略、預測疾病進展、選擇最佳治療方案並最大限度地減少副作用。這些功能與對數據驅動型解決方案的需求相契合，從而提高準確性和臨床療效。

此外，產品研發活動的增加正在加速精準醫療人工智慧市場的創新。這些活動包括企業和研究機構對先進人工智慧演算法、診斷工具和藥物發現平台的投資。這些努力推動了生物標記的識別、數據處理和治療方案的客製化，從而刺激了市場擴張和人工智慧在臨床環境中的應用。

精準醫療人工智慧市場：競爭格局

精準醫療人工智慧市場的競爭格局的特點是，成熟的科技巨頭、專業的人工智慧新創公司和生物技術公司之間展開了動態互動。像Tempus AI這樣的領先企業利用包括臨床記錄、基因組資訊和診斷影像在內的大量多模態資料集，為治療方案選擇和臨床試驗匹配提供人工智慧驅動的洞察。 這使該公司成為以數據為中心的精準醫療平台領域的先驅。此外，PathAI 在數位病理學領域處於領先地位，利用其專有的 AI 模型提高診斷準確性，並透過合作和協同研究支持生物製藥開發。 Insilico Medicine 利用 Chemistry42 和 NVIDIA BioNeMo 等平台加速標靶發現和新興化學，將 AI 設計的候選化合物推進到 II 期臨床試驗。總體而言，在技術進步、關鍵合作以及對個人化病患照護的關注的推動下，AI 精準醫療市場的競爭格局持續動態變化。

AI 在精準醫療領域的演進：新興產業趨勢

AI 精準醫療市場的新興趨勢包括：AI 驅動的基因組學和多組學用於個人化治療、用於早期疾病檢測的預測分析以及用於快速藥物發現的機器學習。 AI 工具現在可以分析複雜的基因組、臨床和影像數據，以識別生物標記、預測治療反應並客製化護理方案。 生成式人工智慧和數位病理學正在加速診斷，而硬體和軟體的進步則正在處理大數據，從而提供即時洞察。此外，製藥公司、人工智慧新創公司和技術領導者之間的策略聯盟正在推動創新，尤其是在腫瘤學和慢性病管理領域。

本報告分析了全球精準醫療人工智慧市場，提供了市場規模估算、機會分析、競爭格局和公司概況。

目錄

第一部分：報告概述

第一章：引言

第二章：研究方法

第三章：市場動態

第四章：宏觀經濟指標

第二部分：質性研究結果

第五章：摘要整理

第六章：引言

第七章：監理環境

第三部分：市場概覽

第八章：關鍵指標綜合資料庫

第九章：競爭格局

第十章：市場空白分析

第十一章：競爭分析

第十二章：精準醫療人工智慧市場的新創企業生態系統

第四部分：公司簡介

第13章 企業簡介

  • 章概要
  • Atomwise
  • BenevolentAI
  • Exscientia
  • Evotec
  • Guardant Health
  • Insilico Medicine
  • Nimbus Therapeutics
  • Owkin
  • PathAI
  • Recursion Pharmaceuticals
  • Regeneron Pharmaceuticals
  • Tempus AI
  • XtalPi

第 5 部分：市場趨勢

第 14 章：大趨勢分析

第 15 章：專利分析

第 16 章：最新進展

第 6 部分：市場機會分析

第 17 章：精準醫療市場的全球人工智慧

第 18 章：依組件類型劃分的市場機會

第 19 章：市場依技術類型劃分的市場機會

第20章：依治療領域劃分的市場機會

第21章：北美精準醫療人工智慧市場機會

第22章：歐洲精準醫療人工智慧市場機會

第23章：亞洲精準醫療人工智慧市場機會

第24章：中東和北非（MENA）精準醫療人工智慧市場機會

第25章：拉丁美洲精準醫療人工智慧市場機會

第26章：世界其他地區精準醫療人工智慧市場機會

第27章：市場主要參與者集中度分析

第28章：鄰近市場分析

第7節：策略工具

第29章：關鍵成功策略

第30章：波特五力分析

第31章：SWOT分析

第32章：Roots策略建議

第8節：其他獨家發現

第33章：主要研究發現

第34章：報告結論

第9節：附錄

簡介目錄
Product Code: RAD00031

AI in Precision Medicine Market Outlook

As per Roots Analysis, the global AI in precision medicine market size is estimated to grow from USD 3.97 billion in current year to USD 125.81 billion by 2040, at a CAGR of 28% during the forecast period, till 2040.

Artificial intelligence (AI) in precision medicine employs advanced algorithms and machine learning to process vast, complex datasets from biological, clinical, and genetic sources. This enables the creation of personalized diagnostics and treatment by identifying disease patterns, predicting therapeutic responses, and optimizing patient-specific interventions. This ultimately enhances healthcare accuracy and overall outcomes.

The AI in precision medicine market is experiencing robust growth, fueled by the escalating global burden of chronic and genetic diseases, which heightens demand for personalized therapies. This expansion is amplified by the growing reliance on AI-driven precision diagnostics and therapeutics, which excel at dissecting intricate biological data. Advancements in AI platforms, coupled with innovative product developments, are boosting the precision and efficiency of interventions. Moreover, intensified research and development efforts, along with strategic launches from leading companies, are propelling market growth.

AI in Precision Medicine Market - IMG1

Strategic Insights for Senior Leaders

Key Drivers Propelling Growth of AI in Precision Medicine Market

The rising prevalence of chronic and genetic diseases, including cancer, diabetes, and cardiovascular disorders, is driving the demand for AI within precision medicine. This trend enables more accurate diagnostics, personalized treatment planning, and predictive healthcare. Notably, AI algorithms analyze extensive genomic, clinical, lifestyle, and molecular datasets to uncover disease patterns, genetic mutations, and therapeutic targets. Concurrently, the rising demand for personalized medicines and precision diagnostics is bolstering the market. AI facilitates individualized treatment strategies, disease progression forecasting, optimal therapy selection, and adverse effect minimization. These capabilities align with preferences for data-driven solutions that enhance accuracy and clinical outcomes.

Further, rising number of product development initiatives are accelerating innovation in the AI in precision medicine market. These activities include investments from companies and research institutions in advanced AI algorithms, diagnostic tools, and drug discovery platforms. Such efforts propel biomarker identification, data processing, and treatment customization, thereby driving market expansion and AI adoption in clinical practice.

AI in Precision Medicine Market: Competitive Landscape of Companies in this Industry

The competitive landscape in AI for precision medicine features a dynamic interplay between established technology giants, specialized AI startups, and biotech firms. Leaders like Tempus AI leverage vast multimodal datasets, including clinical records, genomics, and imaging, to deliver AI-driven insights for treatment selection and clinical trial matching. This positions it as a pioneer in data-centric precision platforms. Further, PathAI dominates digital pathology with proprietary AI models enhancing diagnostic accuracy and supporting biopharma drug development through partnerships and collaborations. Insilico Medicine accelerates target identification and generative chemistry using platforms like Chemistry42 and NVIDIA BioNeMo, advancing AI-designed candidates into Phase II trials. Overall, AI precision medicine market's competitive landscape is dynamic and evolving, powered by tech advances, key partnerships, and a focus on personalized patient care.

AI in Precision Medicine Evolution: Emerging Trends in the Industry

Emerging trends in the AI precision medicine market include AI-driven genomics and multi-omics for personalized treatments, predictive analytics for early disease detection, and machine learning for faster drug discovery. AI tools now analyze complex genomic, clinical, and imaging data to spot biomarkers, predict therapy responses, and customize care plans. Generative AI and digital pathology speed up diagnostics, while hardware-software advances handle big data for real-time insights. Additionally, strategic collaborations among pharmaceutical companies, AI startups, and technology leaders are fostering innovation, particularly in oncology and chronic disease management.

Impact of US Tariff on Artificial Intelligence (AI) in Precision Medicine Market

US tariffs are creating supply chain challenges for AI in precision medicine market. These primarily include raising costs on imported AI hardware, medical components, and pharmaceuticals from key regions like China and Europe. Such measures disrupt global R&D collaborations and data processing tools essential for genomic analysis and personalized therapies. This prompts firms to regionalize operations and invest in domestic AI infrastructure. However, ongoing trade tensions could delay biomarker discovery platforms and inflate development expenses for AI-driven diagnostics.

Pharma leaders anticipate AI efficiencies to offset some pressures, with opportunities emerging for US based innovators in clinical trials and smart manufacturing. Adaptation strategies, including automation and localized supply chains, will be critical to sustaining precision medicine advancements amid these economic shifts.

Key Market Challenges

The AI in precision medicine market faces several key challenges that hinder widespread adoption. High development costs for AI algorithms, genomic sequencing, and personalized therapies strain budgets, especially for smaller biotech firms. Data privacy concerns and regulatory hurdles, including stringent FDA guidelines on AI validation and ethical AI use, slows down approvals and integration into clinical workflows.

Additionally, problems like AI biases, stemming from training data that underrepresents certain patient groups can lead to unfair treatment results for diverse populations. This erodes trust among healthcare providers. Limited interoperability between healthcare systems and AI platforms further complicates real-world data sharing for biomarker discovery and treatment customization. Despite these obstacles, ongoing innovations in federated learning offer pathways to overcome them, supporting sustained market growth.

Regional Analysis: North America to Hold the Largest Share in the Market

According to our estimates North America currently captures a significant share of the AI in precision medicine market. This can be attributed to surging chronic disease burdens, including cancer, diabetes, and infectious conditions. Robust R&D investments in AI-driven solutions, combined with advanced healthcare infrastructure and rapid regulatory approvals, further accelerates adoption and innovation in personalized diagnostics and therapies within the region.

AI in Precision Medicine Market: Key Market Segmentation

Type of Component

  • Hardware
  • Software
  • Service

Type of Technology

  • Deep Learning
  • Natural Language Processing
  • Machine Learning

Therapeutic Area

  • Oncology
  • Cardiology
  • Neurology
  • Immunology
  • Others

Geographical Regions

  • North America
  • US
  • Canada
  • Mexico
  • Other North American countries
  • Europe
  • Austria
  • Belgium
  • Denmark
  • France
  • Germany
  • Ireland
  • Italy
  • Netherlands
  • Norway
  • Russia
  • Spain
  • Sweden
  • Switzerland
  • UK
  • Other European countries
  • Asia
  • China
  • India
  • Japan
  • Singapore
  • South Korea
  • Other Asian countries
  • Latin America
  • Brazil
  • Chile
  • Colombia
  • Venezuela
  • Other Latin American countries
  • Middle East and North Africa
  • Egypt
  • Iran
  • Iraq
  • Israel
  • Kuwait
  • Saudi Arabia
  • UAE
  • Other MENA countries
  • Rest of the World
  • Australia
  • New Zealand
  • Other countries

Example Players in AI in Precision Medicine Market

  • Atomwise
  • BenevolentAI
  • Exscientia
  • Evotec
  • Guardant Health
  • Illumina
  • Insilico Medicine
  • Nimbus Therapeutics
  • Owkin
  • PathAI
  • Recursion Pharmaceuticals
  • Regeneron Pharmaceuticals
  • Tempus
  • XtalPi

AI in Precision Medicine Market: Report Coverage

The report on the AI in precision medicine market features insights on various sections, including:

  • Market Sizing and Opportunity Analysis: An in-depth analysis of the AI in precision medicine market, focusing on key market segments, including [A] type of component, [B] type of technology, [C] therapeutic area and [D] key geographical regions.
  • Competitive Landscape: A comprehensive analysis of the companies engaged in the AI in precision medicine market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters and [D] ownership structure.
  • Company Profiles: Elaborate profiles of prominent players engaged in the AI in precision medicine market, providing details on [A] location of headquarters, [B] company size, [C] company mission, [D] company footprint, [E] management team, [F] contact details, [G] financial information, [H] operating business segments, [I] portfolio, [J] recent developments, and an informed future outlook.
  • Megatrends: An evaluation of ongoing megatrends in the AI in precision medicine industry.
  • Recent Developments: An overview of the recent developments made in the AI in precision medicine market, along with analysis based on relevant parameters, including [A] year of initiative, [B] type of initiative, [C] geographical distribution and [D] most active players.
  • SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.

Key Questions Answered in this Report

  • What is the current and future market size?
  • Who are the leading companies in this market?
  • What are the growth drivers that are likely to influence the evolution of this market?
  • What are the key partnership and funding trends shaping this industry?
  • Which region is likely to grow at higher CAGR till 2040?
  • How is the current and future market opportunity likely to be distributed across key market segments?

Reasons to Buy this Report

  • Detailed Market Analysis: The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.
  • In-depth Analysis of Trends: Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. Each report maps ecosystem activity across partnerships, funding, and patent landscapes to reveal growth hotspots and white spaces in the industry.
  • Opinion of Industry Experts: The report features extensive interviews and surveys with key opinion leaders and industry experts to validate market trends mentioned in the report.
  • Decision-ready Deliverables: The report offers stakeholders with strategic frameworks (Porter's Five Forces, value chain, SWOT), and complimentary Excel / slide packs with customization support.

Additional Benefits

  • Complimentary Dynamic Excel Dashboards for Analytical Modules
  • Exclusive 15% Free Content Customization
  • Personalized Interactive Report Walkthrough with Our Expert Research Team
  • Free Report Updates for Versions Older than 6-12 Months

TABLE OF CONTENTS

SECTION I: REPORT OVERVIEW

1. PREFACE

  • 1.1. Introduction
  • 1.2. Market Share Insights
  • 1.3. Key Market Insights
  • 1.4. Report Coverage
  • 1.5. Key Questions Answered
  • 1.6. Chapter Outlines

2. RESEARCH METHODOLOGY

  • 2.1. Chapter Overview
  • 2.2. Research Assumptions
  • 2.3. Database Building
    • 2.3.1. Data Collection
    • 2.3.2. Data Validation
    • 2.3.3. Data Analysis
  • 2.4. Project Methodology
    • 2.4.1. Secondary Research
      • 2.4.1.1. Annual Reports
      • 2.4.1.2. Academic Research Papers
      • 2.4.1.3. Company Websites
      • 2.4.1.4. Investor Presentations
      • 2.4.1.5. Regulatory Filings
      • 2.4.1.6. White Papers
      • 2.4.1.7. Industry Publications
      • 2.4.1.8. Conferences and Seminars
      • 2.4.1.9. Government Portals
      • 2.4.1.10. Media and Press Releases
      • 2.4.1.11. Newsletters
      • 2.4.1.12. Industry Databases
      • 2.4.1.13. Roots Proprietary Databases
      • 2.4.1.14. Paid Databases and Sources
      • 2.4.1.15. Social Media Portals
      • 2.4.1.16. Other Secondary Sources
    • 2.4.2. Primary Research
      • 2.4.2.1. Introduction
      • 2.4.2.2. Types
        • 2.4.2.2.1. Qualitative
        • 2.4.2.2.2. Quantitative
      • 2.4.2.3. Advantages
      • 2.4.2.4. Techniques
        • 2.4.2.4.1. Interviews
        • 2.4.2.4.2. Surveys
        • 2.4.2.4.3. Focus Groups
        • 2.4.2.4.4. Observational Research
        • 2.4.2.4.5. Social Media Interactions
      • 2.4.2.5. Stakeholders
        • 2.4.2.5.1. Company Executives (CXOs)
        • 2.4.2.5.2. Board of Directors
        • 2.4.2.5.3. Company Presidents and Vice Presidents
        • 2.4.2.5.4. Key Opinion Leaders
        • 2.4.2.5.5. Research and Development Heads
        • 2.4.2.5.6. Technical Experts
        • 2.4.2.5.7. Subject Matter Experts
        • 2.4.2.5.8. Scientists
        • 2.4.2.5.9. Doctors and Other Healthcare Providers
      • 2.4.2.6. Ethics and Integrity
        • 2.4.2.6.1. Research Ethics
        • 2.4.2.6.2. Data Integrity
    • 2.4.3. Analytical Tools and Databases

3. MARKET DYNAMICS

  • 3.1. Forecast Methodology
    • 3.1.1. Top-Down Approach
    • 3.1.2. Bottom-Up Approach
    • 3.1.3. Hybrid Approach
  • 3.2. Market Assessment Framework
    • 3.2.1. Total Addressable Market (TAM)
    • 3.2.2. Serviceable Addressable Market (SAM)
    • 3.2.3. Serviceable Obtainable Market (SOM)
    • 3.2.4. Currently Acquired Market (CAM)
  • 3.3. Forecasting Tools and Techniques
    • 3.3.1. Qualitative Forecasting
    • 3.3.2. Correlation
    • 3.3.3. Regression
    • 3.3.4. Time Series Analysis
    • 3.3.5. Extrapolation
    • 3.3.6. Convergence
    • 3.3.7. Forecast Error Analysis
    • 3.3.8. Data Visualization
    • 3.3.9. Scenario Planning
    • 3.3.10. Sensitivity Analysis
  • 3.4. Key Considerations
    • 3.4.1. Demographics
    • 3.4.2. Market Access
    • 3.4.3. Reimbursement Scenarios
    • 3.4.4. Industry Consolidation
  • 3.5. Robust Quality Control
  • 3.6. Key Market Segmentations
  • 3.7. Limitations

4. MACRO-ECONOMIC INDICATORS

  • 4.1. Chapter Overview
  • 4.2. Market Dynamics
    • 4.2.1. Time Period
      • 4.2.1.1. Historical Trends
      • 4.2.1.2. Current and Forecasted Estimates
    • 4.2.2. Currency Coverage
      • 4.2.2.1. Overview of Major Currencies Affecting the Market
      • 4.2.2.2. Impact of Currency Fluctuations on the Industry
    • 4.2.3. Foreign Exchange Impact
      • 4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
      • 4.2.3.2. Strategies for Mitigating Foreign Exchange Risk
    • 4.2.4. Recession
      • 4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
      • 4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
    • 4.2.5. Inflation
      • 4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
      • 4.2.5.2. Potential Impact of Inflation on the Market Evolution
    • 4.2.6. Interest Rates
      • 4.2.6.1. Overview of Interest Rates and Their Impact on the Market
      • 4.2.6.2. Strategies for Managing Interest Rate Risk
    • 4.2.7. Commodity Flow Analysis
      • 4.2.7.1. Type of Commodity
      • 4.2.7.2. Origins and Destinations
      • 4.2.7.3. Values and Weights
      • 4.2.7.4. Modes of Transportation
    • 4.2.8. Global Trade Dynamics
      • 4.2.8.1. Import Scenario
      • 4.2.8.2. Export Scenario
    • 4.2.9. War Impact Analysis
      • 4.2.9.1. Russian-Ukraine War
      • 4.2.9.2. Israel-Hamas War
    • 4.2.10. COVID Impact / Related Factors
      • 4.2.10.1. Global Economic Impact
      • 4.2.10.2. Industry-specific Impact
      • 4.2.10.3. Government Response and Stimulus Measures
      • 4.2.10.4. Future Outlook and Adaptation Strategies
    • 4.2.11. Other Indicators
      • 4.2.11.1. Fiscal Policy
      • 4.2.11.2. Consumer Spending
      • 4.2.11.3. Gross Domestic Product (GDP)
      • 4.2.11.4. Employment
      • 4.2.11.5. Taxes
      • 4.2.11.6. R&D Innovation
      • 4.2.11.7. Stock Market Performance
      • 4.2.11.8. Supply Chain
      • 4.2.11.9. Cross-Border Dynamics

SECTION II: QUALITATIVE INSIGHTS

5. EXECUTIVE SUMMARY

6. INTRODUCTION

  • 6.1. Chapter Overview
  • 6.2. Overview of AI in Precision Medicine Market
    • 6.2.1. Historical Evolution
    • 6.2.2. Key Applications
    • 6.2.3. Impact on Healthcare
  • 6.3. Future Perspective

7. REGULATORY SCENARIO

SECTION III: MARKET OVERVIEW

8. COMPREHENSIVE DATABASE OF LEADING PLAYERS

9. COMPETITIVE LANDSCAPE

  • 9.1. Chapter Overview
  • 9.2. AI in Precision Medicine Market: Overall Market Landscape
    • 9.2.1. Analysis by Year of Establishment
    • 9.2.2. Analysis by Company Size
    • 9.2.3. Analysis by Location of Headquarters
    • 9.2.4. Analysis by Ownership Structure

10. WHITE SPACE ANALYSIS

11. COMPANY COMPETITIVENESS ANALYSIS

12. STARTUP ECOSYSTEM IN THE AI IN PRECISION MEDICINE MARKET

  • 12.1. AI in Precision Medicine Market: Market Landscape of Startups
    • 12.1.1. Analysis by Year of Establishment
    • 12.1.2. Analysis by Company Size
    • 12.1.3. Analysis by Company Size and Year of Establishment
    • 12.1.4. Analysis by Location of Headquarters
    • 12.1.5. Analysis by Company Size and Location of Headquarters
    • 12.1.6. Analysis by Ownership Structure
  • 12.2. Key Findings

SECTION IV: COMPANY PROFILES

13. COMPANY PROFILES

  • 13.1. Chapter Overview
  • 13.2. Atomwise*
    • 13.2.1. Company Overview
    • 13.2.2. Company Mission
    • 13.2.3. Company Footprint
    • 13.2.4. Management Team
    • 13.2.5. Contact Details
    • 13.2.6. Financial Performance
    • 13.2.7. Operating Business Segments
    • 13.2.8. Service / Product Portfolio (project specific)
    • 13.2.9. MOAT Analysis
    • 13.2.10. Recent Developments and Future Outlook
  • 13.3. BenevolentAI
  • 13.4. Exscientia
  • 13.5. Evotec
  • 13.6. Guardant Health
  • 13.7. Insilico Medicine
  • 13.8. Nimbus Therapeutics
  • 13.9. Owkin
  • 13.10. PathAI
  • 13.11. Recursion Pharmaceuticals
  • 13.12. Regeneron Pharmaceuticals
  • 13.13. Tempus AI
  • 13.14. XtalPi

SECTION V: MARKET TRENDS

14. MEGA TRENDS ANALYSIS

15. PATENT ANALYSIS

16. RECENT DEVELOPMENTS

  • 16.1. Chapter Overview
  • 16.2. Recent Funding
  • 16.3. Recent Partnerships
  • 16.4. Other Recent Initiatives

SECTION VI: MARKET OPPORTUNITY ANALYSIS

17. GLOBAL AI IN PRECISION MEDICINE MARKET

  • 17.1. Chapter Overview
  • 17.2. Key Assumptions and Methodology
  • 17.3. Trends Disruption Impacting Market
  • 17.4. Demand Side Trends
  • 17.5. Supply Side Trends
  • 17.6. Global AI in Precision Medicine Market, Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 17.7. Multivariate Scenario Analysis
    • 17.7.1. Conservative Scenario
    • 17.7.2. Optimistic Scenario
  • 17.8. Investment Feasibility Index
  • 17.9. Key Market Segmentations

18. MARKET OPPORTUNITIES BASED ON TYPE OF COMPONENT

  • 18.1. Chapter Overview
  • 18.2. Key Assumptions and Methodology
  • 18.3. Revenue Shift Analysis
  • 18.4. Market Movement Analysis
  • 18.5. Penetration-Growth (P-G) Matrix
  • 18.6. AI in Precision Medicine Market for Hardware: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 18.7. AI in Precision Medicine Market for Software: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 18.8. AI in Precision Medicine Market for Services: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 18.9. Data Triangulation and Validation
    • 18.9.1. Secondary Sources
    • 18.9.2. Primary Sources
    • 18.9.3. Statistical Modeling

19. MARKET OPPORTUNITIES BASED ON TYPE OF TECHNOLOGY

  • 19.1. Chapter Overview
  • 19.2. Key Assumptions and Methodology
  • 19.3. Revenue Shift Analysis
  • 19.4. Market Movement Analysis
  • 19.5. Penetration-Growth (P-G) Matrix
  • 19.6. AI in Precision Medicine Market for Deep Learning: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 19.7. AI in Precision Medicine Market for Natural Language Processing: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 19.8. AI in Precision Medicine Market for Machine Learning: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 19.9. Data Triangulation and Validation
    • 19.9.1. Secondary Sources
    • 19.9.2. Primary Sources
    • 19.9.3. Statistical Modeling

20. MARKET OPPORTUNITIES BASED ON THERAPEUTIC AREA

  • 20.1. Chapter Overview
  • 20.2. Key Assumptions and Methodology
  • 20.3. Revenue Shift Analysis
  • 20.4. Market Movement Analysis
  • 20.5. Penetration-Growth (P-G) Matrix
  • 20.6. AI in Precision Medicine Market for Oncology: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 20.7. AI in Precision Medicine Market for Cardiology: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 20.8. AI in Precision Medicine Market for Neurology: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 20.8. AI in Precision Medicine Market for Immunology: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 20.8. AI in Precision Medicine Market for Others: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 20.9. Data Triangulation and Validation
    • 20.9.1. Secondary Sources
    • 20.9.2. Primary Sources
    • 20.9.3. Statistical Modeling

21. MARKET OPPORTUNITIES FOR AI IN PRECISION MEDICINE MARKET IN NORTH AMERICA

  • 21.1. Chapter Overview
  • 21.2. Key Assumptions and Methodology
  • 21.3. Revenue Shift Analysis
  • 21.4. Market Movement Analysis
  • 21.5. Penetration-Growth (P-G) Matrix
  • 21.6. AI in Precision Medicine Market in North America: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 21.6.1. AI in Precision Medicine Market in the US: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 21.6.2. AI in Precision Medicine Market in Canada: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 21.6.3. AI in Precision Medicine Market in Mexico: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 21.6.4. AI in Precision Medicine Market in Other North American Countries: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 21.7. Data Triangulation and Validation

22. MARKET OPPORTUNITIES FOR AI IN PRECISION MEDICINE MARKET IN EUROPE

  • 22.1. Chapter Overview
  • 22.2. Key Assumptions and Methodology
  • 22.3. Revenue Shift Analysis
  • 22.4. Market Movement Analysis
  • 22.5. Penetration-Growth (P-G) Matrix
  • 22.6. AI in Precision Medicine Market in Europe: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 22.6.1. AI in Precision Medicine Market in Austria: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 22.6.2. AI in Precision Medicine Market in Belgium: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 22.6.3. AI in Precision Medicine Market in Denmark: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 22.6.4. AI in Precision Medicine Market in France: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 22.6.5. AI in Precision Medicine Market in Germany: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 22.6.6. AI in Precision Medicine Market in Ireland: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 22.6.7. AI in Precision Medicine Market in Italy: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 22.6.8. AI in Precision Medicine Market in Netherlands: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 22.6.9. AI in Precision Medicine Market in Norway: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 22.6.10. AI in Precision Medicine Market in Russia: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 22.6.11. AI in Precision Medicine Market in Spain: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 22.6.12. AI in Precision Medicine Market in Sweden: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 22.6.13. AI in Precision Medicine Market in Switzerland: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 22.6.14. AI in Precision Medicine Market in the UK: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 22.6.15. AI in Precision Medicine Market in Other European Countries: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 22.7. Data Triangulation and Validation

23. MARKET OPPORTUNITIES FOR AI IN PRECISION MEDICINE MARKET IN ASIA

  • 23.1. Chapter Overview
  • 23.2. Key Assumptions and Methodology
  • 23.3. Revenue Shift Analysis
  • 23.4. Market Movement Analysis
  • 23.5. Penetration-Growth (P-G) Matrix
  • 23.6. AI in Precision Medicine Market in Asia: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 23.6.1. AI in Precision Medicine Market in China: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 23.6.2. AI in Precision Medicine Market in India: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 23.6.3. AI in Precision Medicine Market in Japan: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 23.6.4. AI in Precision Medicine Market in Singapore: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 23.6.5. AI in Precision Medicine Market in South Korea: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 23.6.6. AI in Precision Medicine Market in Other Asian Countries: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 23.7. Data Triangulation and Validation

24. MARKET OPPORTUNITIES FOR AI IN PRECISION MEDICINE MARKET IN MIDDLE EAST AND NORTH AFRICA (MENA)

  • 24.1. Chapter Overview
  • 24.2. Key Assumptions and Methodology
  • 24.3. Revenue Shift Analysis
  • 24.4. Market Movement Analysis
  • 24.5. Penetration-Growth (P-G) Matrix
  • 24.6. AI in Precision Medicine Market in Middle East and North Africa (MENA): Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 24.6.1. AI in Precision Medicine Market in Egypt: Historical Trends (Since 2022) and Forecasted Estimates (Till 205)
    • 24.6.2. AI in Precision Medicine Market in Iran: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 24.6.3. AI in Precision Medicine Market in Iraq: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 24.6.4. AI in Precision Medicine Market in Israel: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 24.6.5. AI in Precision Medicine Market in Kuwait: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 24.6.6. AI in Precision Medicine Market in Saudi Arabia: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 24.6.7. AI in Precision Medicine Market in United Arab Emirates (UAE): Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 24.6.8. AI in Precision Medicine Market in Other MENA Countries: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 24.7. Data Triangulation and Validation

25. MARKET OPPORTUNITIES FOR AI IN PRECISION MEDICINE MARKET IN LATIN AMERICA

  • 25.1. Chapter Overview
  • 25.2. Key Assumptions and Methodology
  • 25.3. Revenue Shift Analysis
  • 25.4. Market Movement Analysis
  • 25.5. Penetration-Growth (P-G) Matrix
  • 25.6. AI in Precision Medicine Market in Latin America: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 25.6.1. AI in Precision Medicine Market in Argentina: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 25.6.2. AI in Precision Medicine Market in Brazil: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 25.6.3. AI in Precision Medicine Market in Chile: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 25.6.4. AI in Precision Medicine Market in Colombia Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 25.6.5. AI in Precision Medicine Market in Venezuela: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 25.6.6. AI in Precision Medicine Market in Other Latin American Countries: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 25.7. Data Triangulation and Validation

26. MARKET OPPORTUNITIES FOR AI IN PRECISION MEDICINE MARKET IN REST OF THE WORLD

  • 26.1. Chapter Overview
  • 26.2. Key Assumptions and Methodology
  • 26.3. Revenue Shift Analysis
  • 26.4. Market Movement Analysis
  • 26.5. Penetration-Growth (P-G) Matrix
  • 26.6. AI in Precision Medicine Market in Rest of the World: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 26.6.1. AI in Precision Medicine Market in Australia: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 26.6.2. AI in Precision Medicine Market in New Zealand: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 26.6.3. AI in Precision Medicine Market in Other Countries
  • 26.7. Data Triangulation and Validation

27. MARKET CONCENTRATION ANALYSIS: DISTRIBUTION BY LEADING PLAYERS

28. ADJACENT MARKET ANALYSIS

SECTION VII: STRATEGIC TOOLS

29. KEY WINNING STRATEGIES

30. PORTER'S FIVE FORCES ANALYSIS

31. SWOT ANALYSIS

32. ROOTS STRATEGIC RECOMMENDATIONS

  • 32.1. Chapter Overview
  • 32.2. Key Business-related Strategies
    • 32.2.1. Research & Development
    • 32.2.2. Product Manufacturing
    • 32.2.3. Commercialization / Go-to-Market
    • 32.2.4. Sales and Marketing
  • 32.3. Key Operations-related Strategies
    • 32.3.1. Risk Management
    • 32.3.2. Workforce
    • 32.3.3. Finance
    • 32.3.4. Others

SECTION VIII: OTHER EXCLUSIVE INSIGHTS

33. INSIGHTS FROM PRIMARY RESEARCH

34. REPORT CONCLUSION

SECTION IX: APPENDIX

35. TABULATED DATA

36. LIST OF COMPANIES AND ORGANIZATIONS

37. ROOTS SUBSCRIPTION SERVICES

38. AUTHOR DETAILS