Generative AI in Healthcare Trends and Forecast
The future of generative AI in the global healthcare market looks promising with opportunities in the clinical and system markets. Generative AI in the global healthcare market is expected to grow with a CAGR of 30.1% from 2024 to 2030. The major drivers for this market are rising healthcare expenditure and growing emphasis on enhancing patient care.Generative AI in Healthcare by Segment
The study includes a forecast for generative AI in the global healthcare by function, application, end use, and region.Generative AI in Healthcare Market by Function [Shipment Analysis by Value from 2018 to 2030]
- AI-Assisted Robotic Surgery
- Virtual Nursing Assistants
- Aid Clinical Judgment/Diagnosis
- Workflow & Administrative Tasks
- Image Analysis
Generative AI in Healthcare Market by Application [Shipment Analysis by Value from 2018 to 2030]
- Clinical
- System
Generative AI in Healthcare Market by End Use [Shipment Analysis by Value from 2018 to 2030]
- Hospitals & Clinics
- Clinical Research
- Healthcare Organizations
- Diagnostic Centers
- Others
Generative AI in Healthcare 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 Healthcare 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 comapnies in healthcare market cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the generative AI companies in healthcare market are profiled in this report include-- Syntegra
- Nioyatech
- Saxon
- IBM Watson
- Microsoft Corporation
- Tencent Holdings
- Neuralink Corporation
- Johnson & Johnson
- Openai
Generative AI in Healthcare Market Insights
The publisher forecasts that image analysis is expected to witness highest growth over the forecast period as it focuses on improving the quality as well as resolution of medical images.Within this market, clinical will remain the larger segment as these AI delivers improved medical imaging in areas like radiology and pathology.
North America will remain the largest region over the forecast period due to the increasing requirement for advanced tools and technologies and streamline healthcare processes in the region.
Features of Generative AI in the Global Healthcare Market
- Market Size Estimates: Generative AI in the healthcare market size estimation in terms of value ($B).
- Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
- Segmentation Analysis: Generative AI in the healthcare market size by function, application, end use, and region in terms of value ($B).
- Regional Analysis: Generative AI in the healthcare market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
- Growth Opportunities: Analysis of growth opportunities in different functions, applications, end uses, and regions for generative AI in the healthcare market.
- Strategic Analysis: This includes M&A, new product development, and competitive landscape of generative AI in the healthcare 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 healthcare market?Answer: Generative AI in the global healthcare market is expected to grow with a CAGR of 30.1% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of generative AI in the healthcare market?
Answer: The major drivers for this market are rising healthcare expenditure and growing emphasis on enhancing patient care.
Q3. What are the major segments for generative AI in healthcare market?
Answer: The future of generative AI in the healthcare market looks promising with opportunities in the clinical and system markets.
Q4. Who are the key generative AI companies in healthcare market?
Answer: Some of the key generative AI companies in healthcare market are as follows:
- Syntegra
- Nioyatech
- Saxon
- IBM Watson
- Microsoft Corporation
- Tencent Holdings
- Neuralink Corporation
- Johnson & Johnson
- Openai
Answer: The publisher forecasts that image analysis is expected to witness highest growth over the forecast period as it focuses on improving the quality as well as resolution of medical images.
Q6. In generative AI in healthcare 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 increasing requirement for advanced tools and technologies and streamline healthcare processes in the region.
Q7. Do we receive customization in this report?
Answer: Yes,the publisher 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 healthcare market by function (AI-assisted robotic surgery, virtual nursing assistants, aid clinical judgment/diagnosis, workflow & administrative tasks, and image analysis), application (clinical and system), end use (hospitals & clinics, clinical research, healthcare organizations, diagnostic centers, and others), 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?
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Table of Contents
1. Executive Summary
2. Generative AI in the Global Healthcare Market: Market Dynamics
3. Market Trends and Forecast Analysis from 2018 to 2030
4. Market Trends and Forecast Analysis by Region from 2018 to 2030
5. Competitor Analysis
6. Growth Opportunities and Strategic Analysis
7. Company Profiles of Leading Players
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Syntegra
- Nioyatech
- Saxon
- IBM Watson
- Microsoft Corporation
- Tencent Holdings
Methodology
The analyst has been in the business of market research and management consulting since 2000 and has published over 600 market intelligence reports in various markets/applications and served over 1,000 clients worldwide. Each study is a culmination of four months of full-time effort performed by the 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 the 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 professionals, who have analyzed and tracked the market over the years.
Extensive research and interviews are conducted in the supply chain of the market to estimate market share, market size, trends, drivers, challenges and forecasts.
Thus, the analyst compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. The analyst then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process.
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