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Generative Ai In Healthcare Market By Application, By End User: Global Opportunity Analysis and Industry Forecast, 2023-2032

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    Report

  • 250 Pages
  • November 2023
  • Region: Global
  • Allied Market Research
  • ID: 5927330
UP TO OFF until Oct 24th 2024
The global generative AI in healthcare market size was valued at $1.6 billion in 2022 and is projected to reach $30.4 billion by 2032, growing at a CAGR of 34.9% from 2023 to 2032. Generative AI has gained significant traction in the field of healthcare, revolutionizing various aspects of patient care, medical research, and administrative processes. One of its most notable applications is in medical image generation. Additionally, generative AI is being used to predict patient outcomes by generating synthetic patient data that can help researchers better understand disease progression and treatment effects while ensuring patient privacy. In the clinical domain, generative AI is assisting in medical record summarization and report generation. Natural Language Processing (NLP) models can generate concise and relevant summaries of patients' medical histories, aiding healthcare providers in making more informed decisions. Furthermore, chatbots and virtual assistants powered by generative language models offer support for patients, answering questions and providing information on various healthcare topics. Key factors driving the growth of generative AI in the healthcare market are the surge in the adoption of generative AI in healthcare in medical imaging, and the efficiency of generative AI in healthcare in clinical data management.

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:

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  • 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

 

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  • Online Access price format is valid for 60 days access. Printing is not enabled.
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Table of Contents

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
List of Tables
Table 01. Global Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 02. Generative AI in Healthcare Market for Treatment, by Region, 2022-2032 ($Million)
Table 03. Generative AI in Healthcare Market for Diagnosis, by Region, 2022-2032 ($Million)
Table 04. Generative AI in Healthcare Market for Drug Discovery, by Region, 2022-2032 ($Million)
Table 05. Generative AI in Healthcare Market for Research, by Region, 2022-2032 ($Million)
Table 06. Global Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 07. Generative AI in Healthcare Market for Hospitals and Clinics, by Region, 2022-2032 ($Million)
Table 08. Generative AI in Healthcare Market for Healthcare Organizations, by Region, 2022-2032 ($Million)
Table 09. Generative AI in Healthcare Market for Others, by Region, 2022-2032 ($Million)
Table 10. Generative AI in Healthcare Market, by Region, 2022-2032 ($Million)
Table 11. North America Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 12. North America Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 13. North America Generative AI in Healthcare Market, by Country, 2022-2032 ($Million)
Table 14. U.S. Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 15. U.S. Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 16. Canada Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 17. Canada Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 18. Mexico Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 19. Mexico Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 20. Europe Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 21. Europe Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 22. Europe Generative AI in Healthcare Market, by Country, 2022-2032 ($Million)
Table 23. Germany Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 24. Germany Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 25. France Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 26. France Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 27. UK Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 28. UK Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 29. Italy Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 30. Italy Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 31. Spain Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 32. Spain Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 33. Rest of Europe Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 34. Rest of Europe Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 35. Asia-Pacific Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 36. Asia-Pacific Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 37. Asia-Pacific Generative AI in Healthcare Market, by Country, 2022-2032 ($Million)
Table 38. Japan Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 39. Japan Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 40. China Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 41. China Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 42. Australia Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 43. Australia Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 44. India Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 45. India Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 46. South Korea Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 47. South Korea Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 48. Rest of Asia-Pacific Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 49. Rest of Asia-Pacific Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 50. LAMEA Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 51. LAMEA Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 52. LAMEA Generative AI in Healthcare Market, by Country, 2022-2032 ($Million)
Table 53. Brazil Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 54. Brazil Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 55. Saudi Arabia Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 56. Saudi Arabia Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 57. South Africa Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 58. South Africa Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 59. Rest of LAMEA Generative AI in Healthcare Market, by Application, 2022-2032 ($Million)
Table 60. Rest of LAMEA Generative AI in Healthcare Market, by End-user, 2022-2032 ($Million)
Table 61. Syntegra: Key Executives
Table 62. Syntegra: Company Snapshot
Table 63. Syntegra: Product Segments
Table 64. Syntegra: Product Portfolio
Table 65. Syntegra: Key Strategies
Table 66. IBM Watson Health Corporation: Key Executives
Table 67. IBM Watson Health Corporation: Company Snapshot
Table 68. IBM Watson Health Corporation: Product Segments
Table 69. IBM Watson Health Corporation: Product Portfolio
Table 70. Google LLC: Key Executives
Table 71. Google LLC: Company Snapshot
Table 72. Google LLC: Service Segments
Table 73. Google LLC: Product Portfolio
Table 74. Google LLC: Key Strategies
Table 75. Amazon: Key Executives
Table 76. Amazon: Company Snapshot
Table 77. Amazon: Product Segments
Table 78. Amazon: Product Portfolio
Table 79. Oracle: Key Executives
Table 80. Oracle: Company Snapshot
Table 81. Oracle: Service Segments
Table 82. Oracle: Product Portfolio
Table 83. Microsoft: Key Executives
Table 84. Microsoft: Company Snapshot
Table 85. Microsoft: Service Segments
Table 86. Microsoft: Product Portfolio
Table 87. Microsoft: Key Strategies
Table 88. Nvidia Corporation: Key Executives
Table 89. Nvidia Corporation: Company Snapshot
Table 90. Nvidia Corporation: Product Segments
Table 91. Nvidia Corporation: Product Portfolio
Table 92. Nvidia Corporation: Key Strategies
Table 93. Insilico Medicine: Key Executives
Table 94. Insilico Medicine: Company Snapshot
Table 95. Insilico Medicine: Product Segments
Table 96. Insilico Medicine: Product Portfolio
Table 97. Abridge AI Inc.: Key Executives
Table 98. Abridge AI Inc.: Company Snapshot
Table 99. Abridge AI Inc.: Product Segments
Table 100. Abridge AI Inc.: Product Portfolio
Table 101. Open AI Inc.: Key Executives
Table 102. Open AI Inc.: Company Snapshot
Table 103. Open AI Inc.: Product Segments
Table 104. Open AI Inc.: Product Portfolio
List of Figures
Figure 01. Generative AI in Healthcare Market, 2022-2032
Figure 02. Segmentation of Generative AI in Healthcare Market,2022-2032
Figure 03. Top Impacting Factors in Generative AI in Healthcare Market (2022 to 2032)
Figure 04. Top Investment Pockets in Generative AI in Healthcare Market (2023-2032)
Figure 05. Low Bargaining Power of Suppliers
Figure 06. Low Threat of New Entrants
Figure 07. Low Threat of Substitutes
Figure 08. Low Intensity of Rivalry
Figure 09. Low Bargaining Power of Buyers
Figure 10. Global Generative AI in Healthcare Market:Drivers, Restraints and Opportunities
Figure 11. Generative AI in Healthcare Market, by Application, 2022 and 2032(%)
Figure 12. Comparative Share Analysis of Generative AI in Healthcare Market for Treatment, by Country 2022 and 2032(%)
Figure 13. Comparative Share Analysis of Generative AI in Healthcare Market for Diagnosis, by Country 2022 and 2032(%)
Figure 14. Comparative Share Analysis of Generative AI in Healthcare Market for Drug Discovery, by Country 2022 and 2032(%)
Figure 15. Comparative Share Analysis of Generative AI in Healthcare Market for Research, by Country 2022 and 2032(%)
Figure 16. Generative AI in Healthcare Market, by End-user, 2022 and 2032(%)
Figure 17. Comparative Share Analysis of Generative AI in Healthcare Market for Hospitals and Clinics, by Country 2022 and 2032(%)
Figure 18. Comparative Share Analysis of Generative AI in Healthcare Market for Healthcare Organizations, by Country 2022 and 2032(%)
Figure 19. Comparative Share Analysis of Generative AI in Healthcare Market for Others, by Country 2022 and 2032(%)
Figure 20. Generative AI in Healthcare Market by Region, 2022 and 2032(%)
Figure 21. U.S. Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 22. Canada Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 23. Mexico Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 24. Germany Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 25. France Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 26. UK Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 27. Italy Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 28. Spain Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 29. Rest of Europe Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 30. Japan Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 31. China Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 32. Australia Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 33. India Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 34. South Korea Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 35. Rest of Asia-Pacific Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 36. Brazil Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 37. Saudi Arabia Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 38. South Africa Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 39. Rest of LAMEA Generative AI in Healthcare Market, 2022-2032 ($Million)
Figure 40. Product Mapping of Top 10 Players
Figure 41. Competitive Dashboard
Figure 42. Competitive Heatmap: Generative AI in Healthcare Market
Figure 43. Top Player Positioning, 2022
Figure 44. IBM Watson Health Corporation: Net Revenue, 2020-2022 ($Million)
Figure 45. IBM Watson Health Corporation: Revenue Share by Segment, 2022 (%)
Figure 46. IBM Watson Health Corporation: Revenue Share by Region, 2022 (%)
Figure 47. Google LLC: Net Revenue, 2020-2022 ($Million)
Figure 48. Google LLC: Revenue Share by Segment, 2022 (%)
Figure 49. Google LLC: Revenue Share by Region, 2021 (%)
Figure 50. Amazon: Net Sales, 2020-2022 ($Million)
Figure 51. Amazon: Revenue Share by Segment, 2022 (%)
Figure 52. Amazon: Revenue Share by Region, 2022 (%)
Figure 53. Oracle Corporation: Net Revenue, 2020-2022 ($Million)
Figure 54. Oracle Corporation: Revenue Share by Segment, 2022 (%)
Figure 55. Oracle Corporation: Revenue Share by Region, 2022 (%)
Figure 56. Microsoft: Net Revenue, 2020-2022 ($Million)
Figure 57. Microsoft: Revenue Share by Segment, 2022 (%)
Figure 58. Microsoft: Revenue Share by Region, 2022 (%)
Figure 59. Nvidia Corporation: Research & Development Expenditure, 2020-2022 ($Million)
Figure 60. Nvidia Corporation: Net Revenue, 2020-2022 ($Million)
Figure 61. Nvidia Corporation: Revenue Share by Segment, 2022 (%)
Figure 62. Nvidia Corporation: Revenue Share by Region, 2021 (%)

Companies Mentioned

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

Methodology

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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Table Information