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市场调查报告书
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1958436

全球精准医疗人工智慧市场（至 2040 年）：依组件类型、技术类型、治疗领域和主要地区划分：行业趋势和预测

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个工作天内

价格
简介目录

精准医疗人工智慧市场展望

预计到 2040 年，全球精准医疗人工智慧市场规模将从目前的 39.7 亿美元增长至 1,258.1 亿美元，预测期内复合年增长率 (CAGR) 为 28%。

精准医疗人工智慧利用先进的演算法和机器学习技术处理来自生物、临床和遗传来源的大量复杂资料集。透过识别疾病模式、预测治疗反应和优化患者特定介入措施，实现个人化诊断和治疗。最终提高医疗保健的准确性和整体疗效。

受全球慢性病和遗传疾病负担日益加重、推动对个人化治疗需求成长的因素影响，精准医疗人工智慧市场正经历强劲成长。 人工智慧驱动的精准诊断和治疗日益普及，进一步推动了这个市场扩张。人工智慧擅长分析复杂的生物数据。人工智慧平台的进步和创新产品的开发正在提高干预措施的准确性和效率。此外，领先企业加强研发和策略性产品发布也在推动市场成长。

精准医疗市场中的人工智慧-IMG1

精准医疗人工智慧市场的主要成长驱动因素

包括癌症、糖尿病和心血管疾病在内的慢性病和遗传性疾病的日益普遍，推动了对精准医疗人工智慧的需求。这一趋势使得更准确的诊断、个人化的治疗方案和预测性医疗成为可能。值得注意的是，人工智慧演算法能够分析广泛的基因组、临床、生活方式和分子数据，从而发现疾病模式、基因突变和治疗标靶。同时，对个人化医疗和精准诊断日益增长的需求正在推动市场发展。人工智慧能够实现个人化治疗策略、预测疾病进展、选择最佳治疗方案并最大限度地减少副作用。这些功能与对数据驱动型解决方案的需求相契合，从而提高准确性和临床疗效。

此外，产品研发活动的增加正在加速精准医疗人工智慧市场的创新。这些活动包括企业和研究机构对先进人工智慧演算法、诊断工具和药物发现平台的投资。这些努力推动了生物标记的识别、数据处理和治疗方案的客製化，从而刺激了市场扩张和人工智慧在临床环境中的应用。

精准医疗人工智慧市场：竞争格局

精准医疗人工智慧市场的竞争格局的特点是，成熟的科技巨头、专业的人工智慧新创公司和生物技术公司之间展开了动态互动。像Tempus AI这样的领先企业利用包括临床记录、基因组资讯和诊断影像在内的大量多模态资料集，为治疗方案选择和临床试验匹配提供人工智慧驱动的洞察。 这使该公司成为以数据为中心的精准医疗平台领域的先驱。此外，PathAI 在数位病理学领域处于领先地位，利用其专有的 AI 模型提高诊断准确性，并透过合作和协同研究支持生物製药开发。 Insilico Medicine 利用 Chemistry42 和 NVIDIA BioNeMo 等平台加速标靶发现和新兴化学，将 AI 设计的候选化合物推进到 II 期临床试验。总体而言，在技术进步、关键合作以及对个人化病患照护的关注的推动下，AI 精准医疗市场的竞争格局持续动态变化。

AI 在精准医疗领域的演进：新兴产业趋势

AI 精准医疗市场的新兴趋势包括：AI 驱动的基因组学和多组学用于个人化治疗、用于早期疾病检测的预测分析以及用于快速药物发现的机器学习。 AI 工具现在可以分析复杂的基因组、临床和影像数据，以识别生物标记、预测治疗反应并客製化护理方案。 生成式人工智慧和数位病理学正在加速诊断，而硬体和软体的进步则正在处理大数据，从而提供即时洞察。此外，製药公司、人工智慧新创公司和技术领导者之间的策略联盟正在推动创新，尤其是在肿瘤学和慢性病管理领域。

本报告分析了全球精准医疗人工智慧市场，提供了市场规模估算、机会分析、竞争格局和公司概况。

目录

第一部分：报告概述

第一章：引言

第二章：研究方法

第三章：市场动态

第四章：宏观经济指标

第二部分：质性研究结果

第五章：摘要整理

第六章：引言

第七章：监理环境

第三部分：市场概览

第八章：关键指标综合资料库

第九章：竞争格局

第十章：市场空白分析

第十一章：竞争分析

第十二章：精准医疗人工智慧市场的新创企业生态系统

第四部分：公司简介

第13章 企业简介

  • 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：市场趋势

第 14 章：大趋势分析

第 15 章：专利分析

第 16 章：最新进展

第 6 部分：市场机会分析

第 17 章：精准医疗市场的全球人工智慧

第 18 章：依组件类型划分的市场机会

第 19 章：市场依技术类型划分的市场机会

第20章：依治疗领域划分的市场机会

第21章：北美精准医疗人工智慧市场机会

第22章：欧洲精准医疗人工智慧市场机会

第23章：亚洲精准医疗人工智慧市场机会

第24章：中东和北非（MENA）精准医疗人工智慧市场机会

第25章：拉丁美洲精准医疗人工智慧市场机会

第26章：世界其他地区精准医疗人工智慧市场机会

第27章：市场主要参与者集中度分析

第28章：邻近市场分析

第7节：策略工具

第29章：关键成功策略

第30章：波特五力分析

第31章：SWOT分析

第32章：Roots策略建议

第8节：其他独家发现

第33章：主要研究发现

第34章：报告结论

第9节：附录

简介目录
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