Generative Ai In Healthcare Market By Application (Treatment, Diagnosis, Drug Discovery, Research), By End User (Hospitals and clinics, Healthcare Organizations, Others): Global Opportunity Analysis and Industry Forecast, 2023-2032

Description

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According to a new report published by Allied Market Research, titled, "Generative AI in Healthcare Market," The generative AI in the healthcare market was valued at $1.6 billion in 2022, and is estimated to reach $30.4 billion by 2032, growing at a CAGR of 34.9% from 2023 to 2032.

Generative Ai In Healthcare Market - IMG1

Generative AI has emerged as a transformative force in the field of healthcare, with its applications in medical imaging standing out as a major driver for the growth of generative AI in the healthcare market. One of the most compelling applications of generative AI in medical imaging is in the enhancement and reconstruction of medical images. Generative Adversarial Networks (GANs) and other generative models can improve the resolution and quality of images, aiding clinicians in making more accurate diagnoses. For instance, according to a 2023 report by the National Library of Medicine, generative artificial intelligence (AI) has shown great potential in enhancing medical imaging tasks such as data augmentation, image synthesis, image-to-image translation, and radiology report generation.

Furthermore, the efficiency of generative AI in healthcare in clinical data management is expected to contribute significantly to the growth of the market. Generative AI, powered by advanced natural language processing and machine learning techniques, has proven itself invaluable in transforming the way healthcare institutions handle and utilize vast volumes of clinical data. One of the most compelling aspects of generative AI is its ability to automate and streamline complex data management tasks. Generative AI can extract, organize, and categorize clinical data from a variety of sources, including electronic health records, medical imaging, and patient notes, with remarkable speed and precision. This not only reduces the burden on healthcare professionals, allowing them to focus more on patient care, but also significantly enhances the accuracy and completeness of data, which is crucial for evidence-based decision-making, research, and personalized patient treatment plans. For instance, in 2021, HCA Healthcare, Inc., one of the leading healthcare providers, and Google Cloud announced a multi-year strategic partnership. HCA Healthcare collaborated with Google Cloud on the use of generative AI to support doctors and nurses to reduce the burden of administrative tasks.

Moreover, generative AI's efficiency extends beyond data organization. It can generate comprehensive clinical reports, summaries, and predictive models by synthesizing information from disparate sources. This capability not only saves time but also aids in early disease detection, treatment optimization, and prognosis assessment. Additionally, its ability to continually learn and adapt from new data ensures that healthcare organizations stay up-to-date with the latest medical research and best practices, ultimately leading to improved patient outcomes. However, concerns related to data privacy might restrain the growth of the market.

The generative AI in healthcare market is segmented on the basis of application, end user, and region. By applications, the market is categorized into treatment, diagnosis, drug discovery, and research. As per end users, the market is categorized into hospitals & clinics, healthcare organizations, and others. Region-wise, the market is analyzed across North America (the U.S., Canada, and Mexico), Europe (Germany, France, the UK, Italy, Spain, and the rest of Europe), Asia-Pacific (Japan, China, Australia, India, South Korea, and rest of Asia-Pacific), and LAMEA (Brazil, South Africa, Saudi Arabia, and rest of LAMEA).

Major key players that operate in the global generative AI in the healthcare market are IBM Watson Health Corporation, Google LLC, Syntegra, Amazon, Open AI, NVIDIA Corporation, Oracle, Insilico Medicine, Abridge AI Inc, and Microsoft.

Key Benefits For Stakeholders

This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the generative AI in healthcare market analysis from 2022 to 2032 to identify the prevailing generative ai in healthcare market opportunities.
The market research is offered along with information related to key drivers, restraints, and opportunities.
Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders to make profit-oriented business decisions and strengthen their supplier-buyer network.
An in-depth analysis of the generative ai in healthcare market segmentation assists in determining the prevailing market opportunities.
Major countries in each region are mapped according to their revenue contribution to the global market.
Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
The report includes an analysis of the regional as well as global generative AI in healthcare market trends, key players, market segments, application areas, and market growth strategies.

Additional benefits you will get with this purchase are:

Quarterly Update and* (only available with a corporate license, on listed price)
5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
Free Upcoming Version on the Purchase of Five and Enterprise User License.
16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries)
15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
Free data Pack on the Five and Enterprise User License. (Excel version of the report)
Free Updated report if the report is 6-12 months old or older.
24-hour priority response*
Free Industry updates and white papers.

Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)

Regulatory Guidelines
Additional company profiles with specific to client's interest
Additional country or region analysis- market size and forecast
Criss-cross segment analysis- market size and forecast
Expanded list for Company Profiles
Historic market data
Key player details (including location, contact details, supplier/vendor network etc. in excel format)
SWOT Analysis

Key Market Segments

By Application

Treatment
Diagnosis
Drug Discovery
Research

By End User

Hospitals and clinics
Healthcare Organizations
Others

By Region

North America
- U.S.
- Canada
- Mexico
Europe
- Germany
- France
- UK
- Italy
- Spain
- Rest of Europe
Asia-Pacific
- Japan
- China
- Australia
- India
- South Korea
- Rest of Asia-Pacific
LAMEA
- Brazil
- Saudi Arabia
- South Africa
- Rest of LAMEA

Key Market Players:

IBM Watson Health Corporation
Amazon
Microsoft
Open AI Inc.
Google LLC
NVIDIA Corporation
Abridge AI Inc.
Syntegra
InSilico Medicine
Oracle

Product Code: A156675

CHAPTER 1: INTRODUCTION

1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research methodology
- 1.4.1. Primary research
- 1.4.2. Secondary research
- 1.4.3. Analyst tools and models

CHAPTER 2: EXECUTIVE SUMMARY

2.1. CXO Perspective

CHAPTER 3: MARKET OVERVIEW

3.1. Market definition and scope
3.2. Key findings
- 3.2.1. Top impacting factors
- 3.2.2. Top investment pockets
3.3. Porter's five forces analysis
- 3.3.1. Low bargaining power of suppliers
- 3.3.2. Low threat of new entrants
- 3.3.3. Low threat of substitutes
- 3.3.4. Low intensity of rivalry
- 3.3.5. Low bargaining power of buyers
3.4. Market dynamics
- 3.4.1. Drivers
  - 3.4.1.1. Surge in adoption of generative AI in healthcare in medical imaging.
  - 3.4.1.2. Efficiency of generative AI in workflow and administrative tasks.
  - 3.4.1.3. Use of generative AI in personalized medicine.
- 3.4.2. Restraints
  - 3.4.2.1. Data privacy and security risk.
- 3.4.3. Opportunities
  - 3.4.3.1. Use of generative AI in drug discovery development

CHAPTER 4: GENERATIVE AI IN HEALTHCARE MARKET, BY APPLICATION

4.1. Overview
- 4.1.1. Market size and forecast
4.2. Treatment
- 4.2.1. Key market trends, growth factors and opportunities
- 4.2.2. Market size and forecast, by region
- 4.2.3. Market share analysis by country
4.3. Diagnosis
- 4.3.1. Key market trends, growth factors and opportunities
- 4.3.2. Market size and forecast, by region
- 4.3.3. Market share analysis by country
4.4. Drug Discovery
- 4.4.1. Key market trends, growth factors and opportunities
- 4.4.2. Market size and forecast, by region
- 4.4.3. Market share analysis by country
4.5. Research
- 4.5.1. Key market trends, growth factors and opportunities
- 4.5.2. Market size and forecast, by region
- 4.5.3. Market share analysis by country

CHAPTER 5: GENERATIVE AI IN HEALTHCARE MARKET, BY END USER

5.1. Overview
- 5.1.1. Market size and forecast
5.2. Hospitals and clinics
- 5.2.1. Key market trends, growth factors and opportunities
- 5.2.2. Market size and forecast, by region
- 5.2.3. Market share analysis by country
5.3. Healthcare Organizations
- 5.3.1. Key market trends, growth factors and opportunities
- 5.3.2. Market size and forecast, by region
- 5.3.3. Market share analysis by country
5.4. Others
- 5.4.1. Key market trends, growth factors and opportunities
- 5.4.2. Market size and forecast, by region
- 5.4.3. Market share analysis by country

CHAPTER 6: GENERATIVE AI IN HEALTHCARE MARKET, BY REGION

6.1. Overview
- 6.1.1. Market size and forecast By Region
6.2. North America
- 6.2.1. Key market trends, growth factors and opportunities
- 6.2.2. Market size and forecast, by Application
- 6.2.3. Market size and forecast, by End User
- 6.2.4. Market size and forecast, by country
  - 6.2.4.1. U.S.
  - 6.2.4.1.1. Market size and forecast, by Application
  - 6.2.4.1.2. Market size and forecast, by End User
  - 6.2.4.2. Canada
  - 6.2.4.2.1. Market size and forecast, by Application
  - 6.2.4.2.2. Market size and forecast, by End User
  - 6.2.4.3. Mexico
  - 6.2.4.3.1. Market size and forecast, by Application
  - 6.2.4.3.2. Market size and forecast, by End User
6.3. Europe
- 6.3.1. Key market trends, growth factors and opportunities
- 6.3.2. Market size and forecast, by Application
- 6.3.3. Market size and forecast, by End User
- 6.3.4. Market size and forecast, by country
  - 6.3.4.1. Germany
  - 6.3.4.1.1. Market size and forecast, by Application
  - 6.3.4.1.2. Market size and forecast, by End User
  - 6.3.4.2. France
  - 6.3.4.2.1. Market size and forecast, by Application
  - 6.3.4.2.2. Market size and forecast, by End User
  - 6.3.4.3. UK
  - 6.3.4.3.1. Market size and forecast, by Application
  - 6.3.4.3.2. Market size and forecast, by End User
  - 6.3.4.4. Italy
  - 6.3.4.4.1. Market size and forecast, by Application
  - 6.3.4.4.2. Market size and forecast, by End User
  - 6.3.4.5. Spain
  - 6.3.4.5.1. Market size and forecast, by Application
  - 6.3.4.5.2. Market size and forecast, by End User
  - 6.3.4.6. Rest of Europe
  - 6.3.4.6.1. Market size and forecast, by Application
  - 6.3.4.6.2. Market size and forecast, by End User
6.4. Asia-Pacific
- 6.4.1. Key market trends, growth factors and opportunities
- 6.4.2. Market size and forecast, by Application
- 6.4.3. Market size and forecast, by End User
- 6.4.4. Market size and forecast, by country
  - 6.4.4.1. Japan
  - 6.4.4.1.1. Market size and forecast, by Application
  - 6.4.4.1.2. Market size and forecast, by End User
  - 6.4.4.2. China
  - 6.4.4.2.1. Market size and forecast, by Application
  - 6.4.4.2.2. Market size and forecast, by End User
  - 6.4.4.3. Australia
  - 6.4.4.3.1. Market size and forecast, by Application
  - 6.4.4.3.2. Market size and forecast, by End User
  - 6.4.4.4. India
  - 6.4.4.4.1. Market size and forecast, by Application
  - 6.4.4.4.2. Market size and forecast, by End User
  - 6.4.4.5. South Korea
  - 6.4.4.5.1. Market size and forecast, by Application
  - 6.4.4.5.2. Market size and forecast, by End User
  - 6.4.4.6. Rest of Asia-Pacific
  - 6.4.4.6.1. Market size and forecast, by Application
  - 6.4.4.6.2. Market size and forecast, by End User
6.5. LAMEA
- 6.5.1. Key market trends, growth factors and opportunities
- 6.5.2. Market size and forecast, by Application
- 6.5.3. Market size and forecast, by End User
- 6.5.4. Market size and forecast, by country
  - 6.5.4.1. Brazil
  - 6.5.4.1.1. Market size and forecast, by Application
  - 6.5.4.1.2. Market size and forecast, by End User
  - 6.5.4.2. Saudi Arabia
  - 6.5.4.2.1. Market size and forecast, by Application
  - 6.5.4.2.2. Market size and forecast, by End User
  - 6.5.4.3. South Africa
  - 6.5.4.3.1. Market size and forecast, by Application
  - 6.5.4.3.2. Market size and forecast, by End User
  - 6.5.4.4. Rest of LAMEA
  - 6.5.4.4.1. Market size and forecast, by Application
  - 6.5.4.4.2. Market size and forecast, by End User

CHAPTER 7: COMPETITIVE LANDSCAPE

7.1. Introduction
7.2. Top winning strategies
7.3. Product mapping of top 10 player
7.4. Competitive dashboard
7.5. Competitive heatmap
7.6. Top player positioning, 2022

CHAPTER 8: COMPANY PROFILES

8.1. Syntegra
- 8.1.1. Company overview
- 8.1.2. Key executives
- 8.1.3. Company snapshot
- 8.1.4. Operating business segments
- 8.1.5. Product portfolio
- 8.1.6. Key strategic moves and developments
8.2. IBM Watson Health Corporation
- 8.2.1. Company overview
- 8.2.2. Key executives
- 8.2.3. Company snapshot
- 8.2.4. Operating business segments
- 8.2.5. Product portfolio
- 8.2.6. Business performance
8.3. Google LLC
- 8.3.1. Company overview
- 8.3.2. Key executives
- 8.3.3. Company snapshot
- 8.3.4. Operating business segments
- 8.3.5. Product portfolio
- 8.3.6. Business performance
- 8.3.7. Key strategic moves and developments
8.4. Amazon
- 8.4.1. Company overview
- 8.4.2. Key executives
- 8.4.3. Company snapshot
- 8.4.4. Operating business segments
- 8.4.5. Product portfolio
- 8.4.6. Business performance
8.5. Oracle
- 8.5.1. Company overview
- 8.5.2. Key executives
- 8.5.3. Company snapshot
- 8.5.4. Operating business segments
- 8.5.5. Product portfolio
- 8.5.6. Business performance
8.6. Microsoft
- 8.6.1. Company overview
- 8.6.2. Key executives
- 8.6.3. Company snapshot
- 8.6.4. Operating business segments
- 8.6.5. Product portfolio
- 8.6.6. Business performance
- 8.6.7. Key strategic moves and developments
8.7. NVIDIA Corporation
- 8.7.1. Company overview
- 8.7.2. Key executives
- 8.7.3. Company snapshot
- 8.7.4. Operating business segments
- 8.7.5. Product portfolio
- 8.7.6. Business performance
- 8.7.7. Key strategic moves and developments
8.8. InSilico Medicine
- 8.8.1. Company overview
- 8.8.2. Key executives
- 8.8.3. Company snapshot
- 8.8.4. Operating business segments
- 8.8.5. Product portfolio
8.9. Abridge AI Inc.
- 8.9.1. Company overview
- 8.9.2. Key executives
- 8.9.3. Company snapshot
- 8.9.4. Operating business segments
- 8.9.5. Product portfolio
8.10. Open AI Inc.
- 8.10.1. Company overview
- 8.10.2. Key executives
- 8.10.3. Company snapshot
- 8.10.4. Operating business segments
- 8.10.5. Product portfolio