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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1755590

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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1755590

Global AI in Precision Medicine Market Size Study & Forecast, by Technology, Component, Therapeutic Application, and Regional Forecasts 2025-2035

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Global AI in Precision Medicine Market is valued approximately at USD 2.29 billion in 2024 and is projected to grow with a mind-bending CAGR of 36.23% during the forecast period from 2025 to 2035. With a paradigm shift sweeping across healthcare, artificial intelligence has assumed a transformative role-ushering in a new era of hyper-personalized medicine. By leveraging machine learning algorithms and data-rich analytics, AI in precision medicine is enabling tailored treatment pathways based on genetic profiles, clinical data, and lifestyle nuances. This convergence of AI and genomic intelligence is revolutionizing patient care-improving diagnostics, identifying target therapies, and maximizing drug efficacy while minimizing adverse effects. As chronic diseases like cancer and neurological disorders continue to surge, the integration of AI is fast becoming a linchpin in treatment precision.

Accelerated by cloud computing and advanced computational models, AI solutions are increasingly being used to query complex biomedical data and deliver real-time, actionable insights to clinicians. Technologies such as context-aware processing are empowering healthcare ecosystems to automate clinical decision support systems, predict disease progression, and optimize clinical trial outcomes. Furthermore, the rise of smart diagnostics and AI-assisted oncology platforms has opened up unparalleled opportunities for pharmaceutical companies and research institutions to redesign the drug discovery lifecycle. However, despite the disruptive potential, issues related to algorithm transparency, patient data privacy, and lack of standardized protocols could hinder widespread deployment in certain regions.

Regionally, North America dominates the market landscape, underpinned by strong R&D investments, a mature AI infrastructure, and early adoption among biopharmaceutical and genomics companies. The U.S., in particular, is spearheading advancements through public-private collaborations such as the NIH's All of Us Research Program. Europe is also witnessing rapid growth due to regulatory support from frameworks like the European Health Data Space and heightened demand for AI-enhanced oncology care. Meanwhile, Asia Pacific is poised to emerge as the fastest-growing region, propelled by large-scale genomics projects in China and India, growing healthcare IT infrastructure, and increasing government focus on personalized medicine. With AI becoming the nucleus of next-generation healthcare, the market is expected to undergo an exponential trajectory across the globe.

Major market player included in this report are:

  • IBM Watson Health
  • NVIDIA Corporation
  • Tempus
  • PathAI
  • Google Health
  • Microsoft Corporation
  • Intel Corporation
  • Oracle Corporation
  • GE HealthCare
  • Amazon Web Services, Inc.
  • Siemens Healthineers
  • Roche
  • Deep Genomics
  • BioXcel Therapeutics
  • Owkin

Global AI in Precision Medicine Market Report Scope:

  • Historical Data - 2023, 2024
  • Base Year for Estimation - 2024
  • Forecast period - 2025-2035
  • Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
  • Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
  • Customization Scope - Free report customization (equivalent up to 8 analysts' working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players.

The detailed segments and sub-segments of the market are explained below:

By Technology:

  • Querying Method
  • Context Aware Processing

By Component:

  • Hardware

By Therapeutic Application:

  • Oncology

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Rest of Asia Pacific
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • UAE
  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2025 to 2035.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global AI in Precision Medicine Market Report Scope & Methodology

  • 1.1. Research Objective
  • 1.2. Research Methodology
    • 1.2.1. Forecast Model
    • 1.2.2. Desk Research
    • 1.2.3. Top-Down and Bottom-Up Approach
  • 1.3. Research Attributes
  • 1.4. Scope of the Study
    • 1.4.1. Market Definition
    • 1.4.2. Market Segmentation
  • 1.5. Research Assumption
    • 1.5.1. Inclusion & Exclusion
    • 1.5.2. Limitations
    • 1.5.3. Years Considered for the Study

Chapter 2. Executive Summary

  • 2.1. CEO/CXO Standpoint
  • 2.2. Strategic Insights
  • 2.3. ESG Analysis
  • 2.4. Key Findings

Chapter 3. Global AI in Precision Medicine Market Forces Analysis

  • 3.1. Market Forces Shaping the Global AI in Precision Medicine Market (2024-2035)
  • 3.2. Drivers
    • 3.2.1. Leverage of Machine Learning and Genomic Data Analytics (Key Driver)
    • 3.2.2. Adoption of AI-Enabled Clinical Decision Support Systems (Key Driver)
    • 3.2.3. Surging Demand for Personalized Oncology Treatments (Key Driver)
  • 3.3. Restraints
    • 3.3.1. Concerns over Algorithm Transparency and Explainability (Key Restraint)
    • 3.3.2. Patient Data Privacy and Regulatory Compliance Challenges (Key Restraint)
  • 3.4. Opportunities
    • 3.4.1. Expansion of Smart Diagnostics and AI-Assisted Drug Discovery (Key Opportunity)
    • 3.4.2. Public-Private Genomics Initiatives and Data-Sharing Consortia (Key Opportunity)

Chapter 4. Global AI in Precision Medicine Industry Analysis

  • 4.1. Porter's Five Forces Model
    • 4.1.1. Bargaining Power of Buyers
    • 4.1.2. Bargaining Power of Suppliers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
  • 4.2. Porter's Five Forces Forecast Model (2024-2035)
  • 4.3. PESTEL Analysis
    • 4.3.1. Political
    • 4.3.2. Economic
    • 4.3.3. Social
    • 4.3.4. Technological
    • 4.3.5. Environmental
    • 4.3.6. Legal
  • 4.4. Top Investment Opportunities
  • 4.5. Top Winning Strategies (2025)
  • 4.6. Market Share Analysis (2024-2025)
  • 4.7. Global Pricing Analysis and Trends 2025
  • 4.8. Analyst Recommendation & Conclusion

Chapter 5. Global AI in Precision Medicine Market Size & Forecasts by Technology 2025-2035

  • 5.1. Market Overview
  • 5.2. Querying Method
  • 5.3. Context Aware Processing

Chapter 6. Global AI in Precision Medicine Market Size & Forecasts by Component 2025-2035

  • 6.1. Market Overview
  • 6.2. Hardware

Chapter 7. Global AI in Precision Medicine Market Size & Forecasts by Therapeutic Application 2025-2035

  • 7.1. Market Overview
  • 7.2. Oncology

Chapter 8. Global AI in Precision Medicine Market Size & Forecasts by Region 2025-2035

  • 8.1. Regional Market Snapshot
  • 8.2. Top Leading & Emerging Countries
  • 8.3. North America
    • 8.3.1. U.S. AI in Precision Medicine Market
      • 8.3.1.1. Technology breakdown size & forecasts, 2025-2035
      • 8.3.1.2. Component breakdown size & forecasts, 2025-2035
    • 8.3.2. Canada AI in Precision Medicine Market
      • 8.3.2.1. Technology breakdown size & forecasts, 2025-2035
      • 8.3.2.2. Component breakdown size & forecasts, 2025-2035
  • 8.4. Europe
    • 8.4.1. UK AI in Precision Medicine Market
      • 8.4.1.1. Technology breakdown size & forecasts, 2025-2035
      • 8.4.1.2. Component breakdown size & forecasts, 2025-2035
    • 8.4.2. Germany AI in Precision Medicine Market
      • 8.4.2.1. Technology breakdown size & forecasts, 2025-2035
      • 8.4.2.2. Component breakdown size & forecasts, 2025-2035
    • 8.4.3. France AI in Precision Medicine Market
    • 8.4.4. Spain AI in Precision Medicine Market
    • 8.4.5. Italy AI in Precision Medicine Market
    • 8.4.6. Rest of Europe AI in Precision Medicine Market
  • 8.5. Asia Pacific
    • 8.5.1. China AI in Precision Medicine Market
    • 8.5.2. India AI in Precision Medicine Market
    • 8.5.3. Japan AI in Precision Medicine Market
    • 8.5.4. Australia AI in Precision Medicine Market
    • 8.5.5. South Korea AI in Precision Medicine Market
    • 8.5.6. Rest of Asia Pacific AI in Precision Medicine Market
  • 8.6. Latin America
    • 8.6.1. Brazil AI in Precision Medicine Market
    • 8.6.2. Mexico AI in Precision Medicine Market
  • 8.7. Middle East & Africa
    • 8.7.1. UAE AI in Precision Medicine Market
    • 8.7.2. Saudi Arabia AI in Precision Medicine Market
    • 8.7.3. South Africa AI in Precision Medicine Market
    • 8.7.4. Rest of Middle East & Africa AI in Precision Medicine Market

Chapter 9. Competitive Intelligence

  • 9.1. Top Market Strategies
  • 9.2. IBM Watson Health
    • 9.2.1. Company Overview
    • 9.2.2. Key Executives
    • 9.2.3. Company Snapshot
    • 9.2.4. Financial Performance (Subject to Data Availability)
    • 9.2.5. Product/Services Portfolio
    • 9.2.6. Recent Development
    • 9.2.7. Market Strategies
    • 9.2.8. SWOT Analysis
  • 9.3. NVIDIA Corporation
  • 9.4. Tempus
  • 9.5. PathAI
  • 9.6. Google Health
  • 9.7. Microsoft Corporation
  • 9.8. Intel Corporation
  • 9.9. Oracle Corporation
  • 9.10. GE HealthCare
  • 9.11. Amazon Web Services, Inc.
  • 9.12. Siemens Healthineers
  • 9.13. Roche
  • 9.14. Deep Genomics
  • 9.15. BioXcel Therapeutics
  • 9.16. Owkin
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