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Generative AI in Personalized Medicine Trends and Forecast
The future of generative AI in the global personalized medicine market looks promising with opportunities in the hospital and clinic, clinical research, healthcare organization, and diagnostic center markets. Generative AI in the global personalized medicine market is expected to grow with a CAGR of 39.5% from 2024 to 2030. The major drivers for this market are increasing prevalence of chronic diseases, growing inclination towards precision medicine, and rising demand for patient-centered care.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
Generative AI in Personalized Medicine by Segment
The study includes a forecast for generative AI in the global personalized medicine by deployment model, personalized medicine therapeutics, end use, and region.
Generative AI in Personalized Medicine Market by Deployment Model [Shipment Analysis by Value from 2018 to 2030]:
• On-Premise
• Cloud Based
Generative AI in Personalized Medicine Market by Personalized Medicine Therapeutics [Shipment Analysis by Value from 2018 to 2030]:
• Pharmaceutical
• Genomic Medicine
Generative AI in Personalized Medicine Market by End Use [Shipment Analysis by Value from 2018 to 2030]:
• Hospitals and Clinics
• Clinical Research
• Healthcare Organizations
• Diagnostic Centers
Generative AI in Personalized Medicine Market by Region [Shipment Analysis by Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of Generative AI Companies in Personalized Medicine Market
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies generative AI companies in personalized medicine market cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the generative AI comapnies in personalized medicine market are profiled in this report include-
• Butterfly Network
• Deep Genomics
• Google
• IBM Watson Health
• Microsoft Corporation
• Aidoc
• Insilico Medicine
• PathAI
• Tencent Holdings
• Neuralink Corporation
Generative AI in Personalized Medicine Market Insights
Lucintel forecasts that cloud based is expected to witness the higher growth over the forecast period due to its flexibility, adaptability, accessibility, and cost-effectiveness.
Within this market, hospitals and clinics is expected to witness the highest growth due to the growing need for effective diagnosis and treatment planning.
North America will remain the largest region over the forecast period due to the existence of key players investing in AI, such as Microsoft, Apple, and Nvidia.
Features of the Generative AI in the Global Personalized Medicine Market
Market Size Estimates: Generative AI in personalized medicine market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: Generative AI in personalized medicine market size by deployment model, personalized medicine therapeutics, end use, and region in terms of value ($B).
Regional Analysis: Generative AI in personalized medicine market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different deployment models, personalized medicine therapeutics, end uses, and regions for generative AI in the personalized medicine market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of generative AI in the personalized medicine market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q1. What is the growth forecast for generative AI in personalized medicine market?
Answer: Generative AI in the global personalized medicine market is expected to grow with a CAGR of 39.5% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of generative AI in personalized medicine market?
Answer: The major drivers for this market are increasing prevalence of chronic diseases, growing inclination towards precision medicine, and rising demand for patient-centered care.
Q3. What are the major segments for generative AI in personalized medicine market?
Answer: The future of the generative AI in personalized medicine market looks promising with opportunities in the hospital and clinic, clinical research, healthcare organization, and diagnostic center markets.
Q4. Who are the key generative AI companies in personalized medicine market?
Answer: Some of the key generative AI companies in personalized medicine market are as follows:
• Butterfly Network
• Deep Genomics
• Google
• IBM Watson Health
• Microsoft Corporation
• Aidoc
• Insilico Medicine
• PathAI
• Tencent Holdings
• Neuralink Corporation
Q5. Which generative AI in personalized medicine market segment will be the largest in future?
Answer: Lucintel forecasts that cloud based is expected to witness the higher growth over the forecast period due to its flexibility, adaptability, accessibility, and cost-effectiveness.
Q6. In generative AI in personalized medicine market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region over the forecast period due to the existence of key players investing in AI, such as Microsoft, Apple, and Nvidia.
Q7. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.
This report answers following 11 key questions:
Q.1. What are some of the most promising, high-growth opportunities for generative AI in the personalized medicine market by deployment model (on-premise and cloud based), personalized medicine therapeutics (pharmaceutical and genomic medicine), end use (hospitals and clinics, clinical research, healthcare organizations, and diagnostic centers), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
For any questions related to Generative Ai In Personalized Medicine Market, Generative Ai In Personalized Medicine Market Size, Generative Ai In Personalized Medicine Market Growth, Generative Ai In Personalized Medicine Market Analysis, Generative Ai In Personalized Medicine Market Report, Generative Ai In Personalized Medicine Market Share, Generative Ai In Personalized Medicine Market Trends, Generative Ai In Personalized Medicine Market Forecast, Generative Ai In Personalized Medicine Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.
Table of Contents
1. Executive Summary
2. Generative AI in the Global Personalized Medicine Market: Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges
3. Market Trends and Forecast Analysis from 2018 to 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Generative AI in the Global Personalized Medicine Market Trends (2018-2023) and Forecast (2024-2030)
3.3: Generative AI in the Global Personalized Medicine Market by Deployment Model
3.3.1: On-premise
3.3.2: Cloud Based
3.4: Generative AI in the Global Personalized Medicine Market by Personalized Medicine Therapeutics
3.4.1: Pharmaceutical
3.4.2: Genomic Medicine
3.5: Generative AI in the Global Personalized Medicine Market by End Use
3.5.1: Hospitals and Clinics
3.5.2: Clinical Research
3.5.3: Healthcare Organizations
3.5.4: Diagnostic Centers
4. Market Trends and Forecast Analysis by Region from 2018 to 2030
4.1: Generative AI in the Global Personalized Medicine Market by Region
4.2: Generative AI in the North American Personalized Medicine Market
4.2.2: Generative AI in the North American Personalized Medicine Market by End Use: Hospitals and Clinics, Clinical Research, Healthcare Organizations, and Diagnostic Centers
4.3: Generative AI in the European Personalized Medicine Market
4.3.1: Generative AI in the European Personalized Medicine Market by Deployment Model: On-premise and Cloud Based
4.3.2: Generative AI in the European Personalized Medicine Market by End Use: Hospitals and Clinics, Clinical Research, Healthcare Organizations, and Diagnostic Centers
4.4: Generative AI in the APAC Personalized Medicine Market
4.4.1: Generative AI in the APAC Personalized Medicine Market by Deployment Model: On-premise and Cloud Based
4.4.2: Generative AI in the APAC Personalized Medicine Market by End Use: Hospitals and Clinics, Clinical Research, Healthcare Organizations, and Diagnostic Centers
4.5: Generative AI in the ROW Personalized Medicine Market
4.5.1: Generative AI in the ROW Personalized Medicine Market by Deployment Model: On-premise and Cloud Based
4.5.2: Generative AI in the ROW Personalized Medicine Market by End Use: Hospitals and Clinics, Clinical Research, Healthcare Organizations, and Diagnostic Centers
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for Generative AI in the Global Personalized Medicine Market by Deployment Model
6.1.2: Growth Opportunities for Generative AI in the Global Personalized Medicine Market by Personalized Medicine Therapeutics
6.1.3: Growth Opportunities for Generative AI in the Global Personalized Medicine Market by End Use
6.1.4: Growth Opportunities for Generative AI in the Global Personalized Medicine Market by Region
6.2: Emerging Trends of Generative AI in the Global Personalized Medicine Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of Generative AI in the Global Personalized Medicine Market
6.3.3: Mergers, Acquisitions, and Joint Ventures of Generative AI in the Global Personalized Medicine Market
6.3.4: Certification and Licensing
7. Company Profiles of Leading Players
7.1: Butterfly Network
7.2: Deep Genomics
7.3: Google
7.4: IBM Watson Health
7.5: Microsoft Corporation
7.6: Aidoc
7.7: Insilico Medicine
7.8: PathAI
7.9: Tencent Holdings
7.10: Neuralink Corporation
.
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Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
In-depth interviews of the major players in this market
Detailed secondary research from competitors’ financial statements and published data
Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process.
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