Artificial Intelligence In Precision Medicine Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Technology (Deep Learning, Querying Method, Natural Language Processing, Context-Aware Processing), By Component (Hardware, Software, Service), By Therapeutic Application (Oncology, Cardiology, Neurology, Respiratory, Other), By Region & Competition, 2020-2030F
Market Overview
The Global Artificial Intelligence in Precision Medicine Market was valued at USD 1.24 billion in 2024 and is projected to grow significantly, reaching USD 2.15 billion by 2030 with a CAGR of 9.55%. This market is driven by the convergence of AI and precision medicine, an approach that customizes healthcare based on individual genetic, environmental, and lifestyle differences. Precision medicine leverages advanced AI tools—such as machine learning and deep learning—to analyze vast datasets and support personalized diagnoses, treatment plans, and drug development. As chronic diseases continue to rise globally and demand for tailored healthcare solutions increases, AI’s role in transforming diagnostics, genomics, and treatment decisions becomes even more critical. Companies like Roche are advancing AI integration by collaborating on digital pathology platforms that deliver high-value clinical insights. This growing synergy is enabling healthcare providers to improve outcomes, enhance efficiencies, and reduce costs through individualized treatment strategies supported by robust data analytics and predictive modeling.
Key Market Drivers
Rising Prevalence of Chronic Diseases is Driving the Global Artificial Intelligence In Precision Medicine Market
The global burden of chronic diseases—such as cancer, diabetes, cardiovascular disorders, and respiratory illnesses—is growing rapidly, significantly increasing the need for personalized healthcare approaches. According to the WHO, chronic diseases account for 71% of all global deaths, with low- and middle-income countries bearing the highest burden. This creates immense pressure on healthcare systems to improve diagnostics, treatment accuracy, and long-term care management. AI-powered precision medicine offers a transformative solution by using advanced algorithms to analyze large-scale genomic, clinical, and behavioral data to identify disease risks, treatment responses, and patient-specific interventions. For instance, AI applications in genomics help decode genetic mutations and inform the development of targeted therapies, particularly in oncology, where precision treatment is essential for improving survival rates and minimizing adverse effects. As AI continues to accelerate advancements in chronic disease prediction and prevention, its integration with precision medicine is proving critical for managing long-term patient outcomes.
Key Market Challenges
Data Quality and Accessibility Poses a Significant Obstacle To Market Expansion
A major challenge facing the AI in precision medicine market is the inconsistent availability and quality of healthcare data. AI algorithms require access to comprehensive, high-integrity datasets to deliver accurate and reliable insights. However, health data is often siloed across disparate platforms—ranging from electronic health records to genomic sequencing tools and wearable devices—which impedes integration and interoperability. Additionally, issues such as data fragmentation, standardization gaps, and privacy concerns limit the scalability of AI applications. In many cases, healthcare organizations also face legal and technical barriers to data sharing, especially across international borders. This challenge is exacerbated by the need for real-time analytics and the secure handling of sensitive patient information, which require robust infrastructure and data governance protocols. Overcoming these barriers is essential for unlocking AI’s full potential in precision medicine and enabling broader adoption across diverse healthcare ecosystems.
Key Market Trends
Technological Advancements
Advancements in artificial intelligence technologies are significantly enhancing the precision medicine landscape. AI-powered platforms now use deep learning and natural language processing to mine massive datasets and identify intricate patterns linked to disease development, drug responses, and clinical outcomes. These insights are transforming how healthcare providers approach diagnostics, treatment planning, and patient management. For example, AI can detect rare genetic mutations or biomarker signatures that inform personalized therapies in oncology or cardiology. The use of AI is also revolutionizing clinical decision-making by offering real-time recommendations based on patient data, imaging results, and clinical trial findings. Additionally, AI-driven tools are improving patient stratification in clinical trials, accelerating drug discovery, and supporting remote patient monitoring. With continued innovations in algorithm development, computational capacity, and data availability, the precision medicine market is increasingly benefiting from scalable, intelligent systems that support personalized and proactive care models.
Key Market Players
Report Scope:
In this report, the Global Artificial Intelligence In Precision Medicine Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Competitive Landscape
Company Profiles: Detailed analysis of the major companies present in the Global Artificial Intelligence In Precision Medicine Market.
Available Customizations:
Global Artificial Intelligence In Precision Medicine Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
The Global Artificial Intelligence in Precision Medicine Market was valued at USD 1.24 billion in 2024 and is projected to grow significantly, reaching USD 2.15 billion by 2030 with a CAGR of 9.55%. This market is driven by the convergence of AI and precision medicine, an approach that customizes healthcare based on individual genetic, environmental, and lifestyle differences. Precision medicine leverages advanced AI tools—such as machine learning and deep learning—to analyze vast datasets and support personalized diagnoses, treatment plans, and drug development. As chronic diseases continue to rise globally and demand for tailored healthcare solutions increases, AI’s role in transforming diagnostics, genomics, and treatment decisions becomes even more critical. Companies like Roche are advancing AI integration by collaborating on digital pathology platforms that deliver high-value clinical insights. This growing synergy is enabling healthcare providers to improve outcomes, enhance efficiencies, and reduce costs through individualized treatment strategies supported by robust data analytics and predictive modeling.
Key Market Drivers
Rising Prevalence of Chronic Diseases is Driving the Global Artificial Intelligence In Precision Medicine Market
The global burden of chronic diseases—such as cancer, diabetes, cardiovascular disorders, and respiratory illnesses—is growing rapidly, significantly increasing the need for personalized healthcare approaches. According to the WHO, chronic diseases account for 71% of all global deaths, with low- and middle-income countries bearing the highest burden. This creates immense pressure on healthcare systems to improve diagnostics, treatment accuracy, and long-term care management. AI-powered precision medicine offers a transformative solution by using advanced algorithms to analyze large-scale genomic, clinical, and behavioral data to identify disease risks, treatment responses, and patient-specific interventions. For instance, AI applications in genomics help decode genetic mutations and inform the development of targeted therapies, particularly in oncology, where precision treatment is essential for improving survival rates and minimizing adverse effects. As AI continues to accelerate advancements in chronic disease prediction and prevention, its integration with precision medicine is proving critical for managing long-term patient outcomes.
Key Market Challenges
Data Quality and Accessibility Poses a Significant Obstacle To Market Expansion
A major challenge facing the AI in precision medicine market is the inconsistent availability and quality of healthcare data. AI algorithms require access to comprehensive, high-integrity datasets to deliver accurate and reliable insights. However, health data is often siloed across disparate platforms—ranging from electronic health records to genomic sequencing tools and wearable devices—which impedes integration and interoperability. Additionally, issues such as data fragmentation, standardization gaps, and privacy concerns limit the scalability of AI applications. In many cases, healthcare organizations also face legal and technical barriers to data sharing, especially across international borders. This challenge is exacerbated by the need for real-time analytics and the secure handling of sensitive patient information, which require robust infrastructure and data governance protocols. Overcoming these barriers is essential for unlocking AI’s full potential in precision medicine and enabling broader adoption across diverse healthcare ecosystems.
Key Market Trends
Technological Advancements
Advancements in artificial intelligence technologies are significantly enhancing the precision medicine landscape. AI-powered platforms now use deep learning and natural language processing to mine massive datasets and identify intricate patterns linked to disease development, drug responses, and clinical outcomes. These insights are transforming how healthcare providers approach diagnostics, treatment planning, and patient management. For example, AI can detect rare genetic mutations or biomarker signatures that inform personalized therapies in oncology or cardiology. The use of AI is also revolutionizing clinical decision-making by offering real-time recommendations based on patient data, imaging results, and clinical trial findings. Additionally, AI-driven tools are improving patient stratification in clinical trials, accelerating drug discovery, and supporting remote patient monitoring. With continued innovations in algorithm development, computational capacity, and data availability, the precision medicine market is increasingly benefiting from scalable, intelligent systems that support personalized and proactive care models.
Key Market Players
- Glanbia Plc
- BioXcel Therapeutics, Inc.
- Sanofi S.A.
- NVIDIA Corp.
- Alphabet Inc. (Google Inc.)
- IBM Technology Corporation
- Microsoft Corporation
- Intel Corp.
- AstraZeneca plc
- GE HealthCare
- Enlitic, Inc.
Report Scope:
In this report, the Global Artificial Intelligence In Precision Medicine Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
- Artificial Intelligence In Precision Medicine Market, By Technology:
- Deep Learning
- Querying Method
- Natural Language Processing
- Context-Aware Processing
- Artificial Intelligence In Precision Medicine Market, By Component:
- Hardware
- Software
- Service
- Artificial Intelligence In Precision Medicine Market, By Therapeutic Application:
- Oncology
- Cardiology
- Neurology
- Respiratory
- Other
- Artificial Intelligence In Precision Medicine Market, By Region:
- North America
- United States
- Canada
- Mexico
- Europe
- France
- United Kingdom
- Italy
- Germany
- Spain
- Asia-Pacific
- China
- India
- Japan
- Australia
- South Korea
- South America
- Brazil
- Argentina
- Colombia
- Middle East & Africa
- South Africa
- Saudi Arabia
- UAE
Competitive Landscape
Company Profiles: Detailed analysis of the major companies present in the Global Artificial Intelligence In Precision Medicine Market.
Available Customizations:
Global Artificial Intelligence In Precision Medicine Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to five).
1. PRODUCT OVERVIEW
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. EXECUTIVE SUMMARY
4. VOICE OF CUSTOMER
5. GLOBAL ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE MARKET OUTLOOK
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Technology (Deep Learning, Querying Method, Natural Language Processing, Context-Aware Processing)
5.2.2. By Component (Hardware, Software, Service)
5.2.3. By Therapeutic Application (Oncology, Cardiology, Neurology, Respiratory, Other)
5.2.4. By Region
5.2.5. By Company (2024)
5.3. Market Map
6. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE MARKET OUTLOOK
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Technology
6.2.2. By Component
6.2.3. By Therapeutic Application
6.2.4. By Country
6.3. North America: Country Analysis
6.3.1. United States Artificial Intelligence In Precision Medicine Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Technology
6.3.1.2.2. By Component
6.3.1.2.3. By Therapeutic Application
6.3.2. Canada Artificial Intelligence In Precision Medicine Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Technology
6.3.2.2.2. By Component
6.3.2.2.3. By Therapeutic Application
6.3.3. Mexico Artificial Intelligence In Precision Medicine Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Technology
6.3.3.2.2. By Component
6.3.3.2.3. By Therapeutic Application
7. EUROPE ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Technology
7.2.2. By Component
7.2.3. By Therapeutic Application
7.2.4. By Country
7.3. Europe: Country Analysis
7.3.1. Germany Artificial Intelligence In Precision Medicine Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Technology
7.3.1.2.2. By Component
7.3.1.2.3. By Therapeutic Application
7.3.2. United Kingdom Artificial Intelligence In Precision Medicine Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Technology
7.3.2.2.2. By Component
7.3.2.2.3. By Therapeutic Application
7.3.3. Italy Artificial Intelligence In Precision Medicine Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecasty
7.3.3.2.1. By Technology
7.3.3.2.2. By Component
7.3.3.2.3. By Therapeutic Application
7.3.4. France Artificial Intelligence In Precision Medicine Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Technology
7.3.4.2.2. By Component
7.3.4.2.3. By Therapeutic Application
7.3.5. Spain Artificial Intelligence In Precision Medicine Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Technology
7.3.5.2.2. By Component
7.3.5.2.3. By Therapeutic Application
8. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Technology
8.2.2. By Component
8.2.3. By Therapeutic Application
8.2.4. By Country
8.3. Asia-Pacific: Country Analysis
8.3.1. China Artificial Intelligence In Precision Medicine Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Technology
8.3.1.2.2. By Component
8.3.1.2.3. By Therapeutic Application
8.3.2. India Artificial Intelligence In Precision Medicine Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Technology
8.3.2.2.2. By Component
8.3.2.2.3. By Therapeutic Application
8.3.3. Japan Artificial Intelligence In Precision Medicine Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Technology
8.3.3.2.2. By Component
8.3.3.2.3. By Therapeutic Application
8.3.4. South Korea Artificial Intelligence In Precision Medicine Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Technology
8.3.4.2.2. By Component
8.3.4.2.3. By Therapeutic Application
8.3.5. Australia Artificial Intelligence In Precision Medicine Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Technology
8.3.5.2.2. By Component
8.3.5.2.3. By Therapeutic Application
9. SOUTH AMERICA ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Technology
9.2.2. By Component
9.2.3. By Therapeutic Application
9.2.4. By Country
9.3. South America: Country Analysis
9.3.1. Brazil Artificial Intelligence In Precision Medicine Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Technology
9.3.1.2.2. By Component
9.3.1.2.3. By Therapeutic Application
9.3.2. Argentina Artificial Intelligence In Precision Medicine Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Technology
9.3.2.2.2. By Component
9.3.2.2.3. By Therapeutic Application
9.3.3. Colombia Artificial Intelligence In Precision Medicine Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Technology
9.3.3.2.2. By Component
9.3.3.2.3. By Therapeutic Application
10. MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Technology
10.2.2. By Component
10.2.3. By Therapeutic Application
10.2.4. By Country
10.3. MEA: Country Analysis
10.3.1. South Africa Artificial Intelligence In Precision Medicine Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Technology
10.3.1.2.2. By Component
10.3.1.2.3. By Therapeutic Application
10.3.2. Saudi Arabia Artificial Intelligence In Precision Medicine Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Technology
10.3.2.2.2. By Component
10.3.2.2.3. By Therapeutic Application
10.3.3. UAE Artificial Intelligence In Precision Medicine Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Technology
10.3.3.2.2. By Component
10.3.3.2.3. By Therapeutic Application
11. MARKET DYNAMICS
12. MARKET TRENDS & DEVELOPMENTS
13. GLOBAL ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE MARKET: SWOT ANALYSIS
14. COMPETITIVE LANDSCAPE
14.1. Glanbia Plc
14.1.1. Business Overview
14.1.2. Cancer Type Offerings
14.1.3. Recent Developments
14.1.4. Key Personnel
14.1.5. SWOT Analysis
14.2. BioXcel Therapeutics, Inc.
14.3. Sanofi S.A.
14.4. Flatiron Health
14.5. Alphabet Inc. (Google Inc.)
14.6. IBM Technology corporation
14.7. Microsoft Corporation
14.8. Intel Corp.
14.9. AstraZeneca plc
14.10. GE HealthCare
14.11. Enlitic, Inc.
15. STRATEGIC RECOMMENDATIONS
16. ABOUT US & DISCLAIMER
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. EXECUTIVE SUMMARY
4. VOICE OF CUSTOMER
5. GLOBAL ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE MARKET OUTLOOK
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Technology (Deep Learning, Querying Method, Natural Language Processing, Context-Aware Processing)
5.2.2. By Component (Hardware, Software, Service)
5.2.3. By Therapeutic Application (Oncology, Cardiology, Neurology, Respiratory, Other)
5.2.4. By Region
5.2.5. By Company (2024)
5.3. Market Map
6. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE MARKET OUTLOOK
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Technology
6.2.2. By Component
6.2.3. By Therapeutic Application
6.2.4. By Country
6.3. North America: Country Analysis
6.3.1. United States Artificial Intelligence In Precision Medicine Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Technology
6.3.1.2.2. By Component
6.3.1.2.3. By Therapeutic Application
6.3.2. Canada Artificial Intelligence In Precision Medicine Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Technology
6.3.2.2.2. By Component
6.3.2.2.3. By Therapeutic Application
6.3.3. Mexico Artificial Intelligence In Precision Medicine Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Technology
6.3.3.2.2. By Component
6.3.3.2.3. By Therapeutic Application
7. EUROPE ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Technology
7.2.2. By Component
7.2.3. By Therapeutic Application
7.2.4. By Country
7.3. Europe: Country Analysis
7.3.1. Germany Artificial Intelligence In Precision Medicine Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Technology
7.3.1.2.2. By Component
7.3.1.2.3. By Therapeutic Application
7.3.2. United Kingdom Artificial Intelligence In Precision Medicine Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Technology
7.3.2.2.2. By Component
7.3.2.2.3. By Therapeutic Application
7.3.3. Italy Artificial Intelligence In Precision Medicine Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecasty
7.3.3.2.1. By Technology
7.3.3.2.2. By Component
7.3.3.2.3. By Therapeutic Application
7.3.4. France Artificial Intelligence In Precision Medicine Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Technology
7.3.4.2.2. By Component
7.3.4.2.3. By Therapeutic Application
7.3.5. Spain Artificial Intelligence In Precision Medicine Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Technology
7.3.5.2.2. By Component
7.3.5.2.3. By Therapeutic Application
8. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Technology
8.2.2. By Component
8.2.3. By Therapeutic Application
8.2.4. By Country
8.3. Asia-Pacific: Country Analysis
8.3.1. China Artificial Intelligence In Precision Medicine Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Technology
8.3.1.2.2. By Component
8.3.1.2.3. By Therapeutic Application
8.3.2. India Artificial Intelligence In Precision Medicine Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Technology
8.3.2.2.2. By Component
8.3.2.2.3. By Therapeutic Application
8.3.3. Japan Artificial Intelligence In Precision Medicine Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Technology
8.3.3.2.2. By Component
8.3.3.2.3. By Therapeutic Application
8.3.4. South Korea Artificial Intelligence In Precision Medicine Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Technology
8.3.4.2.2. By Component
8.3.4.2.3. By Therapeutic Application
8.3.5. Australia Artificial Intelligence In Precision Medicine Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Technology
8.3.5.2.2. By Component
8.3.5.2.3. By Therapeutic Application
9. SOUTH AMERICA ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Technology
9.2.2. By Component
9.2.3. By Therapeutic Application
9.2.4. By Country
9.3. South America: Country Analysis
9.3.1. Brazil Artificial Intelligence In Precision Medicine Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Technology
9.3.1.2.2. By Component
9.3.1.2.3. By Therapeutic Application
9.3.2. Argentina Artificial Intelligence In Precision Medicine Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Technology
9.3.2.2.2. By Component
9.3.2.2.3. By Therapeutic Application
9.3.3. Colombia Artificial Intelligence In Precision Medicine Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Technology
9.3.3.2.2. By Component
9.3.3.2.3. By Therapeutic Application
10. MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Technology
10.2.2. By Component
10.2.3. By Therapeutic Application
10.2.4. By Country
10.3. MEA: Country Analysis
10.3.1. South Africa Artificial Intelligence In Precision Medicine Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Technology
10.3.1.2.2. By Component
10.3.1.2.3. By Therapeutic Application
10.3.2. Saudi Arabia Artificial Intelligence In Precision Medicine Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Technology
10.3.2.2.2. By Component
10.3.2.2.3. By Therapeutic Application
10.3.3. UAE Artificial Intelligence In Precision Medicine Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Technology
10.3.3.2.2. By Component
10.3.3.2.3. By Therapeutic Application
11. MARKET DYNAMICS
12. MARKET TRENDS & DEVELOPMENTS
13. GLOBAL ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE MARKET: SWOT ANALYSIS
14. COMPETITIVE LANDSCAPE
14.1. Glanbia Plc
14.1.1. Business Overview
14.1.2. Cancer Type Offerings
14.1.3. Recent Developments
14.1.4. Key Personnel
14.1.5. SWOT Analysis
14.2. BioXcel Therapeutics, Inc.
14.3. Sanofi S.A.
14.4. Flatiron Health
14.5. Alphabet Inc. (Google Inc.)
14.6. IBM Technology corporation
14.7. Microsoft Corporation
14.8. Intel Corp.
14.9. AstraZeneca plc
14.10. GE HealthCare
14.11. Enlitic, Inc.
15. STRATEGIC RECOMMENDATIONS
16. ABOUT US & DISCLAIMER
