According to the research report, the global generative AI in healthcare market size is expected to touch USD 21.74 Billion by 2032, from USD 1.07 Billion in 2022, growing with a significant CAGR of 35.14% from 2023 to 2032.
Key Takeaways:
- North America contributed more than 37% of the revenue share in 2022.
- Asia Pacific will witness significant growth during the forecast period.
- By application, the clinical segment is expected to grow at a significant rate during the forecast period.
- By function, the image analysis segment is predicted to dominate the market with the largest share during the forecast period.
- By end-user, the diagnostic centers' segment is expected to lead the market in the analyzed timeframe.
The generative AI in healthcare report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global generative AI in healthcare in conjunction with the geographical landscape of this vertical have also been included in this report.
The report offers intricate dynamics about different aspects of the global generative AI in healthcare market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global generative AI in healthcare during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).
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This study covers a detailed segmentation of the global generative AI in healthcare market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global generative AI in healthcare market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.
Key Players
- Syntegra
- NioyaTech
- Saxon
- IBM Watson
- Microsoft Corporation
- Google LLC
- Tencent Holdings Ltd.
- Neuralink Corporation
- Johnson & Johnson
- OpenAI
- Oracle
Market Segmentation
By Application
- Clinical
- Cardiovascular
- Dermatology
- Infectious Disease
- Oncology
- Others
- System
- Disease Diagnosis
- Telemedicine
- Electronic Health Records
- Drug Interaction
By Function
- AI-Assisted Robotic Surgery
- Virtual Nursing Assistants
- Aid Clinical Judgment/Diagnosis
- Workflow & Administrative Tasks
- Image Analysis
By End User
- Hospitals & Clinics
- Clinical Research
- Healthcare Organizations
- Diagnostic Centers
- Others
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa
Research Methodology
The research methodology adopted by analysts for compiling the global generative AI in healthcare report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.
During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.
For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global generative AI in healthcare market.
TABLE OF CONTENT
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology (Premium Insights)
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Generative AI in Healthcare Market
5.1. COVID-19 Landscape: Generative AI in Healthcare Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Generative AI in Healthcare Market, By Application
8.1. Generative AI in Healthcare Market, by Application, 2023-2032
8.1.1 Clinical
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. System
8.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Generative AI in Healthcare Market, By Function
9.1. Generative AI in Healthcare Market, by Function, 2023-2032
9.1.1. AI-Assisted Robotic Surgery
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Virtual Nursing Assistants
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Aid Clinical Judgment/Diagnosis
9.1.3.1. Market Revenue and Forecast (2020-2032)
9.1.4. Workflow & Administrative Tasks
9.1.4.1. Market Revenue and Forecast (2020-2032)
9.1.5. Image Analysis
9.1.5.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Generative AI in Healthcare Market, By End User
10.1. Generative AI in Healthcare Market, by End User, 2023-2032
10.1.1. Hospitals & Clinics
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Clinical Research
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Healthcare Organizations
10.1.3.1. Market Revenue and Forecast (2020-2032)
10.1.4. Diagnostic Centers
10.1.4.1. Market Revenue and Forecast (2020-2032)
10.1.5. Others
10.1.5.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Generative AI in Healthcare Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Application (2020-2032)
11.1.2. Market Revenue and Forecast, by Function (2020-2032)
11.1.3. Market Revenue and Forecast, by End User (2020-2032)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Application (2020-2032)
11.1.4.2. Market Revenue and Forecast, by Function (2020-2032)
11.1.4.3. Market Revenue and Forecast, by End User (2020-2032)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Application (2020-2032)
11.1.5.2. Market Revenue and Forecast, by Function (2020-2032)
11.1.5.3. Market Revenue and Forecast, by End User (2020-2032)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Application (2020-2032)
11.2.2. Market Revenue and Forecast, by Function (2020-2032)
11.2.3. Market Revenue and Forecast, by End User (2020-2032)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Application (2020-2032)
11.2.4.2. Market Revenue and Forecast, by Function (2020-2032)
11.2.4.3. Market Revenue and Forecast, by End User (2020-2032)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Application (2020-2032)
11.2.5.2. Market Revenue and Forecast, by Function (2020-2032)
11.2.5.3. Market Revenue and Forecast, by End User (2020-2032)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Application (2020-2032)
11.2.6.2. Market Revenue and Forecast, by Function (2020-2032)
11.2.6.3. Market Revenue and Forecast, by End User (2020-2032)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Application (2020-2032)
11.2.7.2. Market Revenue and Forecast, by Function (2020-2032)
11.2.7.3. Market Revenue and Forecast, by End User (2020-2032)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Application (2020-2032)
11.3.2. Market Revenue and Forecast, by Function (2020-2032)
11.3.3. Market Revenue and Forecast, by End User (2020-2032)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Application (2020-2032)
11.3.4.2. Market Revenue and Forecast, by Function (2020-2032)
11.3.4.3. Market Revenue and Forecast, by End User (2020-2032)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Application (2020-2032)
11.3.5.2. Market Revenue and Forecast, by Function (2020-2032)
11.3.5.3. Market Revenue and Forecast, by End User (2020-2032)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Application (2020-2032)
11.3.6.2. Market Revenue and Forecast, by Function (2020-2032)
11.3.6.3. Market Revenue and Forecast, by End User (2020-2032)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Application (2020-2032)
11.3.7.2. Market Revenue and Forecast, by Function (2020-2032)
11.3.7.3. Market Revenue and Forecast, by End User (2020-2032)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Application (2020-2032)
11.4.2. Market Revenue and Forecast, by Function (2020-2032)
11.4.3. Market Revenue and Forecast, by End User (2020-2032)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Application (2020-2032)
11.4.4.2. Market Revenue and Forecast, by Function (2020-2032)
11.4.4.3. Market Revenue and Forecast, by End User (2020-2032)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Application (2020-2032)
11.4.5.2. Market Revenue and Forecast, by Function (2020-2032)
11.4.5.3. Market Revenue and Forecast, by End User (2020-2032)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Application (2020-2032)
11.4.6.2. Market Revenue and Forecast, by Function (2020-2032)
11.4.6.3. Market Revenue and Forecast, by End User (2020-2032)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Application (2020-2032)
11.4.7.2. Market Revenue and Forecast, by Function (2020-2032)
11.4.7.3. Market Revenue and Forecast, by End User (2020-2032)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Application (2020-2032)
11.5.2. Market Revenue and Forecast, by Function (2020-2032)
11.5.3. Market Revenue and Forecast, by End User (2020-2032)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Application (2020-2032)
11.5.4.2. Market Revenue and Forecast, by Function (2020-2032)
11.5.4.3. Market Revenue and Forecast, by End User (2020-2032)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Application (2020-2032)
11.5.5.2. Market Revenue and Forecast, by Function (2020-2032)
11.5.5.3. Market Revenue and Forecast, by End User (2020-2032)
Chapter 12. Company Profiles
12.1. Syntegra
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. NioyaTech
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. Saxon
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. IBM Watson
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. Microsoft Corporation
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. Google LLC
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. Tencent Holdings Ltd.
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. Neuralink Corporation
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. Johnson & Johnson
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.4. Recent Initiatives
12.10. OpenAI
12.10.1. Company Overview
12.10.2. Product Offerings
12.10.3. Financial Performance
12.10.4. Recent Initiatives
Chapter 13. Research Methodology
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
Chapter 14. Appendix
14.1. About Us
14.2. Glossary of Terms
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