Product Code: KSI061615866
Artificial intelligence (AI) in the precision therapies market is expected to grow at a CAGR of 27.56%, reaching a market size of US$7.506 billion in 2029 and US$2.223 billion in 2024.
AI in the precision therapies market is a unique and disruptive method that is revolutionizing personalized medicine and patient care. Custom-made medication aims to tailor medical treatments to individual patients' genetics, way of life, and disease characteristics to achieve the best results with the least side complications. Within this field, the application of AI technology has become much faster in exploring potential biomarkers, targets for drug action, options for treatment, and inefficient data management and stratification of patients. Suitable AI techniques can handle large volumes of patient records, genetic information, and outcomes from clinical trials, thus assisting healthcare providers in administering their patients with targeted medications and therapies.
The market of AI in precision therapies is considerably promising in that it could reshape the healthcare sector into more effective and patient-oriented therapies.
Artificial intelligence (AI) in the precision therapies market drivers?
- Rising trends in personalized and precision medicine are increasing the Artificial Intelligence (AI) in precision therapies market growth.
AI technologies employed in precision therapies are rising due to changes in personalized and precision medicine. These changes stress the importance of customizing medical interventions to different patients who have varying genetic makeups, lifestyles, and disease characteristics. New technologies and molecular biology have made identifying various biomarkers and therapeutic targets possible, making treatment more accurate and specific. AI is pivotal in predicting treatment responses and disease outcomes through extensive datasets such as genomes, clinical data, and real-time patient information. The growing emphasis on the effectiveness of personalized or precision medicine in promoting positive patient outcomes has led to increased uptake of AI-based systems in precision therapeutics.
Artificial intelligence (AI) in the precision therapies market - geographical outlook
- North America is witnessing exponential growth during the forecast period
The US has led the research, development, and use of AI technology in precision medicine and therapeutics. It is not surprising that North America leads due to its well-established healthcare facilities, high-level AI funding, and large-scale pharmaceutical and biotech companies. In addition, the region's general trend towards personalized medicine and precision healthcare has created a market for AI-infused solutions that enhance treatment and patient outcomes. Advances in AI technologies will ensure that North America remains the largest shareholder in AI in the precision therapies market.
Reasons for buying this report:-
- Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
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Report Coverage:
- Historical data & forecasts from 2022 to 2029
- Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
- Competitive Positioning, Strategies, and Market Share Analysis
- Revenue Growth and Forecast Assessment of segments and regions including countries
- Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)
The Artificial Intelligence (AI) in precision therapies market is segmented and analyzed as follows:
By Therapy Type
- Personalized Medicine
- Targeted Therapies
- Gene Therapies
- Cell Therapies
- Immunotherapies
- Others
By Application
- Oncology
- Neurology
- Cardiology
- Infectious Diseases
- Rare Diseases
- Autoimmune Diseases
- Others
By End-User Industry
- Hospitals And Clinics
- Pharmaceutical And Biotechnology Companies
- Research Institutes And Academic Centers
- Others
By Geography
- North America
- United States
- Canada
- Mexico
- South America
- Brazil
- Argentina
- Others
- Europe
- United Kingdom
- Germany
- France
- Italy
- Spain
- Others
- Middle East and Africa
- Saudi Arabia
- UAE
- Others
- Asia Pacific
- Japan
- China
- India
- South Korea
- Taiwan
- Thailand
- Indonesia
- Others
TABLE OF CONTENTS
1. INTRODUCTION
- 1.1. Market Overview
- 1.2. Market Definition
- 1.3. Scope of the Study
- 1.4. Market Segmentation
- 1.5. Currency
- 1.6. Assumptions
- 1.7. Base and Forecast Years Timeline
- 1.8. Key Benefits to the Stakeholder
2. RESEARCH METHODOLOGY
- 2.1. Research Design
- 2.2. Research Processes
3. EXECUTIVE SUMMARY
- 3.1. Key Findings
- 3.2. CXO Perspective
4. MARKET DYNAMICS
- 4.1. Market Drivers
- 4.2. Market Restraints
- 4.3. Porter's Five Forces Analysis
- 4.3.1. Bargaining Power of Suppliers
- 4.3.2. Bargaining Power of Buyers
- 4.3.3. Threat of New Entrants
- 4.3.4. Threat of Substitutes
- 4.3.5. Competitive Rivalry in the Industry
- 4.4. Industry Value Chain Analysis
- 4.5. Analyst View
5. ARTIFICIAL INTELLIGENCE (AI) IN PRECISION THERAPIES MARKET BY THERAPY TYPE
- 5.1. Introduction
- 5.2. Personalized Medicine
- 5.3. Targeted Therapies
- 5.4. Gene Therapies
- 5.5. Cell Therapies
- 5.6. Immunotherapies
- 5.7. Others
6. ARTIFICIAL INTELLIGENCE (AI) IN PRECISION THERAPIES MARKET BY APPLICATION
- 6.1. Introduction
- 6.2. Oncology
- 6.3. Neurology
- 6.4. Cardiology
- 6.5. Infectious Diseases
- 6.6. Rare Diseases
- 6.7. Autoimmune Diseases
- 6.8. Others
7. ARTIFICIAL INTELLIGENCE (AI) IN PRECISION THERAPIES MARKET BY END-USER INDUSTRY
- 7.1. Introduction
- 7.2. Hospitals And Clinics
- 7.3. Pharmaceutical And Biotechnology Companies
- 7.4. Research Institutes And Academic Centers
- 7.5. Others
8. ARTIFICIAL INTELLIGENCE (AI) IN PRECISION THERAPIES MARKET BY GEOGRAPHY
- 8.1. Introduction
- 8.2. North America
- 8.2.1. By Therapy Type
- 8.2.2. By Application
- 8.2.3. BY End-User Industry
- 8.2.4. By Country
- 8.2.4.1. United States
- 8.2.4.2. Canada
- 8.2.4.3. Mexico
- 8.3. South America
- 8.3.1. By Therapy Type
- 8.3.2. By Application
- 8.3.3. BY End-User Industry
- 8.3.4. By Country
- 8.3.4.1. Brazil
- 8.3.4.2. Argentina
- 8.3.4.3. Others
- 8.4. Europe
- 8.4.1. By Therapy Type
- 8.4.2. By Application
- 8.4.3. BY End-User Industry
- 8.4.4. By Country
- 8.4.4.1. United Kingdom
- 8.4.4.2. Germany
- 8.4.4.3. France
- 8.4.4.4. Italy
- 8.4.4.5. Spain
- 8.4.4.6. Others
- 8.5. Middle East and Africa
- 8.5.1. By Therapy Type
- 8.5.2. By Application
- 8.5.3. BY End-User Industry
- 8.5.4. By Country
- 8.5.4.1. Saudi Arabia
- 8.5.4.2. UAE
- 8.5.4.3. Others
- 8.6. Asia Pacific
- 8.6.1. By Therapy Type
- 8.6.2. By Application
- 8.6.3. BY End-User Industry
- 8.6.4. By Country
- 8.6.4.1. Japan
- 8.6.4.2. China
- 8.6.4.3. India
- 8.6.4.4. South Korea
- 8.6.4.5. Taiwan
- 8.6.4.6. Thailand
- 8.6.4.7. Indonesia
- 8.6.4.8. Others
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
- 9.1. Major Players and Strategy Analysis
- 9.2. Market Share Analysis
- 9.3. Mergers, Acquisitions, Agreements, and Collaborations
- 9.4. Competitive Dashboard
10. COMPANY PROFILES
- 10.1. IBM Watson Health (IBM Corporation)
- 10.2. Google Health (Alphabet Inc.)
- 10.3. Tempus Labs, Inc.
- 10.4. Nvidia Corporation
- 10.5. Deep Genomics, Inc.
- 10.6. Microsoft Corporation
- 10.7. Owkin, Inc.
- 10.8. Benevolentai Ltd.
- 10.9. Recursion Pharmaceuticals, Inc.
- 10.10. Cloud Pharmaceuticals, Inc.