정밀의료용 AI 시장(-2040년) : 컴포넌트 유형별, 기술 유형별, 치료 분야별, 주요 지역별 - 업계 동향, 예측
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
상품코드:1958436
리서치사:Roots Analysis
발행일:On Demand Report
페이지 정보:영문 184 Pages
라이선스 & 가격 (부가세 별도)
한글목차
정밀의료용 AI 시장 전망
세계의 정밀의료용 AI 시장 규모는 현재 39억 7,000만 달러에서 2040년까지 1,258억 1,000만 달러에 달할 것으로 추정되며, 2040년까지의 예측 기간에 CAGR로 28%의 성장이 전망되고 있습니다.
정밀의료용 AI는 생물학적, 임상적, 유전학적 정보원으로부터의 방대하고 복잡한 데이터세트를 처리하기 위해 첨단 알고리즘과 머신러닝을 활용합니다. 이를 통해 질병 패턴 식별, 치료 반응 예측, 환자별 개입 최적화를 통해 개인화된 진단 및 치료법을 개발할 수 있습니다. 이는 궁극적으로 의료의 정확성과 전반적인 결과를 향상시킵니다.
정밀의료용 AI 시장은 전 세계에서 만성질환 및 유전성 질환 증가로 개인 맞춤형 치료에 대한 수요가 증가하면서 견고한 성장세를 보이고 있습니다. 이러한 확대는 복잡한 생물학적 데이터 분석에 탁월한 AI를 통한 정밀진단 및 치료에 대한 의존도가 높아짐에 따라 더욱 가속화되고 있습니다. AI 플랫폼의 발전과 혁신적인 제품 개발이 개입의 정확성과 효율성을 높이고 있습니다. 또한 연구개발 강화와 주요 기업의 전략적 제품 출시가 시장 성장을 촉진하고 있습니다.
정밀의료용 AI 시장의 주요 성장 촉진요인
암, 당뇨병, 심혈관 질환을 포함한 만성질환과 유전성 질환의 유병률 증가는 정밀의료용 AI에 대한 수요를 촉진하고 있습니다. 이러한 추세는 보다 정확한 진단, 개인화된 치료 계획, 예측 의료를 가능하게 합니다. 주목할 만한 점은 AI 알고리즘이 광범위한 유전체 데이터, 임상 데이터, 생활습관 데이터, 분자 데이터를 분석하여 질병 패턴, 유전자 변이, 치료 표적을 밝혀냅니다는 점입니다. 동시에 맞춤형 의료와 정밀진단에 대한 수요 증가가 시장을 촉진하고 있습니다. AI는 개인화된 치료 전략, 질병 진행 예측, 최적의 치료법 선택, 부작용 최소화를 가능하게 합니다. 이러한 기능은 정확성과 임상 결과를 향상시키는 데이터베이스 솔루션에 대한 수요와 일치합니다.
또한 제품 개발 활동 증가는 정밀의료용 AI 시장의 혁신을 가속화하고 있습니다. 이러한 활동에는 기업 및 연구기관의 첨단 AI 알고리즘, 진단 툴, 신약개발 플랫폼에 대한 투자가 포함됩니다. 이러한 노력은 바이오마커 식별, 데이터 처리, 치료법 맞춤화를 촉진하고, 시장 확대와 임상 현장에서의 AI 채택을 촉진하고 있습니다.
정밀의료용 AI 시장 : 업계내 기업간 경쟁 구도
정밀의료용 AI경쟁 구도는 기존 대형 기술 기업, 전문 AI 스타트업, 생명공학 기업 간의 역동적인 상호작용이 특징입니다. Tempus AI와 같은 리더는 임상 기록, 유전체 정보, 영상 진단 등 방대한 멀티모달 데이터세트를 활용하여 치료법 선택과 임상시험 매칭에 대한 AI 기반 지식을 제공합니다. 이를 통해 데이터 중심 정밀 플랫폼의 선구자적 지위를 확립하고 있습니다. 또한 PathAI는 독자적인 AI 모델을 통해 진단 정확도를 높이고, 파트너십과 공동연구를 통해 바이오의약품 개발을 지원하며 디지털 병리학에서 우위를 점하고 있습니다. 인실리코 메디슨은 케미스트리42(Chemistry42), 엔비디아 바이오네모(NVIDIA BioNeMo) 등의 플랫폼을 활용하여 표적 발견과 창발적 화학을 가속화하고, AI가 설계한 후보물질을 임상 2상 시험에 진입시키고 있습니다. 전반적으로 AI 정밀의료 시장의 경쟁 환경은 기술 발전, 중요한 파트너십, 개인화된 환자 치료에 대한 집중에 힘입어 역동적으로 진화하고 있습니다.
정밀의료를 위한 AI의 진화: 업계의 새로운 동향
AI 정밀의료 시장의 새로운 동향으로는 개인 맞춤형 치료를 위한 AI 유전체학 및 멀티오믹스, 질병 조기 발견을 위한 예측 분석, 신속한 신약개발을 위한 머신러닝을 꼽을 수 있습니다. AI 툴은 현재 복잡한 유전체, 임상, 영상 데이터를 분석하여 바이오마커를 식별하고, 치료 반응을 예측하고, 치료 계획을 맞춤화할 수 있도록 돕습니다. 생성형 AI와 디지털 병리학은 진단을 가속화하고, 하드웨어 소프트웨어의 발전은 빅데이터를 처리하여 실시간 인사이트을 제공합니다. 또한 제약사, AI 스타트업, 기술 리더 간의 전략적 제휴는 특히 종양학 및 만성질환 관리 분야에서 혁신을 촉진하고 있습니다.
세계의 정밀의료용 인공지능(AI) 시장에 대해 조사했으며, 시장 규모 추정과 기회 분석, 경쟁 구도, 기업 개요 등의 정보를 전해드립니다.
목차
섹션 1 리포트 개요
제1장 서문
제2장 조사 방법
제3장 시장 역학
제4장 거시경제 지표
섹션 2 정성적 인사이트
제5장 개요
제6장 서론
제7장 규제 시나리오
섹션 3 시장 개요
제8장 주요 기업의 종합적 데이터베이스
제9장 경쟁 구도
제10장 화이트 스페이스 분석
제11장 기업 경쟁력 분석
제12장 정밀의료용 AI 시장의 스타트업 에코시스템
섹션 4 기업 개요
제13장 기업 개요
섹션 5 시장 동향
제14장 메가트렌드 분석
제15장 특허 분석
제16장 최근 발전
섹션 6 시장 기회 분석
제17장 세계의 정밀의료용 AI 시장
제18장 시장 기회 : 컴포넌트 유형별
제19장 시장 기회 : 기술 유형별
제20장 시장 기회 : 치료 영역별
제21장 북미의 정밀의료용 AI 시장의 시장 기회
제22장 유럽의 정밀의료용 AI 시장의 시장 기회
제23장 아시아의 정밀의료용 AI 시장의 시장 기회
제24장 중동·북아프리카(MENA) 정밀의료용 AI 시장의 시장 기회
제25장 라틴아메리카의 정밀의료용 AI 시장의 시장 기회
제26장 기타 지역의 정밀의료용 AI 시장의 시장 기회
제27장 시장 집중 분석 : 주요 기업별
제28장 인접 시장 분석
섹션 7 전략적 툴
제29장 주요 성공 전략
제30장 Porter's Five Forces 분석
제31장 SWOT 분석
제32장 Roots의 전략적 제안
섹션 8 기타 독점적 인사이트
제33장 1차 조사로부터의 인사이트
제34장 리포트 결론
섹션 9 부록
KSA
영문 목차
영문목차
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.
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
