Computer Vision in Healthcare Comprehensive Study by Type (Hardware (Processors (CPUs, GPUs, FPGAs, ASICs, VPUs), Memory Devices, Networks), Software (Cloud-based, On-premise), Services), Application (Medical Imaging and Diagnostics, Surgeries, Other Applications (Clinical Trials, Patient Management, and Research)), End User (Healthcare Providers, Diagnostic Centers, Other End Users (Academic Research Institutes) Players and Region - Global Market Outlook to 2028

Computer Vision in Healthcare Market by XX Submarkets | Forecast Years 2023-2028  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is Computer Vision in Healthcare Market?

The computer vision in healthcare diagnosis provides high levels of precision by minimizing errors. It allows detection of the minimal presence of a condition that may be missed by doctors because of their human limitations. Currently, Several areas in healthcare using computer vision and benefiting medical professionals to better diagnose patients, including medical imaging analysis, health monitoring, predictive analysis, among others. The benefits of computer vision technology can assist health systems. Increasing government initiatives to increase the adoption of AI-based technologies and rising big data in healthcare drives the global computer vision in the healthcare market.

Highlights from Computer Vision in Healthcare Market Study
AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)
Key Companies ProfiledNVIDIA Corporation (United States), Microsoft (United States), Intel Corporation (United States), Xilinx Inc. (United States), IBM (United States), Google (United States), Basler AG (Germany), Arterys (United States), AiCure (United States) and iCAD Inc. (United States)


There are various companies are operating in this industry and heavily conducting research on the characteristics of software and how will provide more innovative product designing. There are various market players are entering this industry to capture market growth opportunities. The market leaders are investing in organic and non-organic strategic growth initiatives to become dominant in this industry. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Computer Vision in Healthcare market throughout the forecasted period.

NVIDIA Corporation (United States), Microsoft (United States), Intel Corporation (United States), Xilinx Inc. (United States), IBM (United States), Google (United States), Basler AG (Germany), Arterys (United States), AiCure (United States) and iCAD Inc. (United States) are some of the key players profiled in the study.

Computer Vision in Healthcare Market Segmentation:
ScopeSub-Segments
Application / End UserMedical Imaging and Diagnostics, Surgeries and Other Applications (Clinical Trials, Patient Management, and Research)
TypeHardware (Processors (CPUs, GPUs, FPGAs, ASICs, VPUs), Memory Devices, Networks), Software (Cloud-based, On-premise) and Services
End UserHealthcare Providers,Diagnostic Centers,Other End Users (Academic Research Institutes


On the basis of geography, the market of Computer Vision in Healthcare has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Cloud-Based Healthcare Computer Vision Solutions

Market Growth Drivers:
Government Initiatives to Increase the Adoption of AI-based Technologies, Big Data in Healthcare and Use of Computer Vision in Precision Medicine

Challenges:
Rising Security Concerns Related to Cloud-Based Image Processing and Analytics and Lack of Curated Data

Restraints:
Lack of Awareness and Technical Knowledge

Opportunities:
Growth Opportunities in Developing Countries and Advancements in Application Delivery and Software-Defined Age

Key Target Audience
Venture Capitalists and Private Equity Firms, New Entrants/Investors, Analysts and Strategic Business Planners, Computer Vision in Healthcare Provider, Government Regulatory and Research Organizations and End-Use Industries

Market Leaders & Development Strategies
In May 2018, Intel collaborates with Novartis* on the use of deep neural networks (DNN) to accelerate high content screening – a key element of early drug discovery.
In Oct 2018, IBM announced that it plans to incorporate the new RAPIDS™ open source software into its enterprise-grade data science platform for on-premises, hybrid, and multi-cloud environments. With IBM's vast portfolio of deep learning and machine learning solutions, it is best positioned to bring this open-source technology to data scientists regardless of their preferred deployment model.


Report Objectives / Segmentation Covered

By Type
  • Hardware (Processors (CPUs, GPUs, FPGAs, ASICs, VPUs), Memory Devices, Networks)
  • Software (Cloud-based, On-premise)
  • Services
By Application
  • Medical Imaging and Diagnostics
  • Surgeries
  • Other Applications (Clinical Trials, Patient Management, and Research)
By End User
  • Healthcare Providers
  • Diagnostic Centers
  • Other End Users (Academic Research Institutes

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Government Initiatives to Increase the Adoption of AI-based Technologies, Big Data in Healthcare
      • 3.2.2. Use of Computer Vision in Precision Medicine
    • 3.3. Market Challenges
      • 3.3.1. Rising Security Concerns Related to Cloud-Based Image Processing and Analytics
      • 3.3.2. Lack of Curated Data
    • 3.4. Market Trends
      • 3.4.1. Cloud-Based Healthcare Computer Vision Solutions
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Computer Vision in Healthcare, by Type, Application, End User and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Computer Vision in Healthcare (Value)
      • 5.2.1. Global Computer Vision in Healthcare by: Type (Value)
        • 5.2.1.1. Hardware (Processors (CPUs, GPUs, FPGAs, ASICs, VPUs), Memory Devices, Networks)
        • 5.2.1.2. Software (Cloud-based, On-premise)
        • 5.2.1.3. Services
      • 5.2.2. Global Computer Vision in Healthcare by: Application (Value)
        • 5.2.2.1. Medical Imaging and Diagnostics
        • 5.2.2.2. Surgeries
        • 5.2.2.3. Other Applications (Clinical Trials, Patient Management, and Research)
      • 5.2.3. Global Computer Vision in Healthcare by: End User (Value)
        • 5.2.3.1. Healthcare Providers
        • 5.2.3.2. Diagnostic Centers
        • 5.2.3.3. Other End Users (Academic Research Institutes
      • 5.2.4. Global Computer Vision in Healthcare Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
    • 5.3. Global Computer Vision in Healthcare (Price)
      • 5.3.1. Global Computer Vision in Healthcare by: Type (Price)
  • 6. Computer Vision in Healthcare: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. NVIDIA Corporation (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Microsoft (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Intel Corporation (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Xilinx Inc. (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. IBM (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Google (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Basler AG (Germany)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Arterys (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. AiCure (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. ICAD Inc. (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Computer Vision in Healthcare Sale, by Type, Application, End User and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Computer Vision in Healthcare (Value)
      • 7.2.1. Global Computer Vision in Healthcare by: Type (Value)
        • 7.2.1.1. Hardware (Processors (CPUs, GPUs, FPGAs, ASICs, VPUs), Memory Devices, Networks)
        • 7.2.1.2. Software (Cloud-based, On-premise)
        • 7.2.1.3. Services
      • 7.2.2. Global Computer Vision in Healthcare by: Application (Value)
        • 7.2.2.1. Medical Imaging and Diagnostics
        • 7.2.2.2. Surgeries
        • 7.2.2.3. Other Applications (Clinical Trials, Patient Management, and Research)
      • 7.2.3. Global Computer Vision in Healthcare by: End User (Value)
        • 7.2.3.1. Healthcare Providers
        • 7.2.3.2. Diagnostic Centers
        • 7.2.3.3. Other End Users (Academic Research Institutes
      • 7.2.4. Global Computer Vision in Healthcare Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
    • 7.3. Global Computer Vision in Healthcare (Price)
      • 7.3.1. Global Computer Vision in Healthcare by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Computer Vision in Healthcare: by Type(USD Million)
  • Table 2. Computer Vision in Healthcare Hardware (Processors (CPUs, GPUs, FPGAs, ASICs, VPUs), Memory Devices, Networks) , by Region USD Million (2017-2022)
  • Table 3. Computer Vision in Healthcare Software (Cloud-based, On-premise) , by Region USD Million (2017-2022)
  • Table 4. Computer Vision in Healthcare Services , by Region USD Million (2017-2022)
  • Table 5. Computer Vision in Healthcare: by Application(USD Million)
  • Table 6. Computer Vision in Healthcare Medical Imaging and Diagnostics , by Region USD Million (2017-2022)
  • Table 7. Computer Vision in Healthcare Surgeries , by Region USD Million (2017-2022)
  • Table 8. Computer Vision in Healthcare Other Applications (Clinical Trials, Patient Management, and Research) , by Region USD Million (2017-2022)
  • Table 9. Computer Vision in Healthcare: by End User(USD Million)
  • Table 10. Computer Vision in Healthcare Healthcare Providers , by Region USD Million (2017-2022)
  • Table 11. Computer Vision in Healthcare Diagnostic Centers , by Region USD Million (2017-2022)
  • Table 12. Computer Vision in Healthcare Other End Users (Academic Research Institutes , by Region USD Million (2017-2022)
  • Table 13. South America Computer Vision in Healthcare, by Country USD Million (2017-2022)
  • Table 14. South America Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 15. South America Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 16. South America Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 17. Brazil Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 18. Brazil Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 19. Brazil Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 20. Argentina Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 21. Argentina Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 22. Argentina Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 23. Rest of South America Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 24. Rest of South America Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 25. Rest of South America Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 26. Asia Pacific Computer Vision in Healthcare, by Country USD Million (2017-2022)
  • Table 27. Asia Pacific Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 28. Asia Pacific Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 29. Asia Pacific Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 30. China Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 31. China Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 32. China Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 33. Japan Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 34. Japan Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 35. Japan Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 36. India Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 37. India Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 38. India Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 39. South Korea Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 40. South Korea Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 41. South Korea Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 42. Taiwan Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 43. Taiwan Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 44. Taiwan Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 45. Australia Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 46. Australia Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 47. Australia Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 48. Rest of Asia-Pacific Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 49. Rest of Asia-Pacific Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 50. Rest of Asia-Pacific Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 51. Europe Computer Vision in Healthcare, by Country USD Million (2017-2022)
  • Table 52. Europe Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 53. Europe Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 54. Europe Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 55. Germany Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 56. Germany Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 57. Germany Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 58. France Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 59. France Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 60. France Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 61. Italy Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 62. Italy Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 63. Italy Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 64. United Kingdom Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 65. United Kingdom Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 66. United Kingdom Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 67. Netherlands Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 68. Netherlands Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 69. Netherlands Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 70. Rest of Europe Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 71. Rest of Europe Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 72. Rest of Europe Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 73. MEA Computer Vision in Healthcare, by Country USD Million (2017-2022)
  • Table 74. MEA Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 75. MEA Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 76. MEA Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 77. Middle East Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 78. Middle East Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 79. Middle East Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 80. Africa Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 81. Africa Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 82. Africa Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 83. North America Computer Vision in Healthcare, by Country USD Million (2017-2022)
  • Table 84. North America Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 85. North America Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 86. North America Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 87. United States Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 88. United States Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 89. United States Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 90. Canada Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 91. Canada Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 92. Canada Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 93. Mexico Computer Vision in Healthcare, by Type USD Million (2017-2022)
  • Table 94. Mexico Computer Vision in Healthcare, by Application USD Million (2017-2022)
  • Table 95. Mexico Computer Vision in Healthcare, by End User USD Million (2017-2022)
  • Table 96. Computer Vision in Healthcare: by Type(USD/Units)
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Computer Vision in Healthcare: by Type(USD Million)
  • Table 108. Computer Vision in Healthcare Hardware (Processors (CPUs, GPUs, FPGAs, ASICs, VPUs), Memory Devices, Networks) , by Region USD Million (2023-2028)
  • Table 109. Computer Vision in Healthcare Software (Cloud-based, On-premise) , by Region USD Million (2023-2028)
  • Table 110. Computer Vision in Healthcare Services , by Region USD Million (2023-2028)
  • Table 111. Computer Vision in Healthcare: by Application(USD Million)
  • Table 112. Computer Vision in Healthcare Medical Imaging and Diagnostics , by Region USD Million (2023-2028)
  • Table 113. Computer Vision in Healthcare Surgeries , by Region USD Million (2023-2028)
  • Table 114. Computer Vision in Healthcare Other Applications (Clinical Trials, Patient Management, and Research) , by Region USD Million (2023-2028)
  • Table 115. Computer Vision in Healthcare: by End User(USD Million)
  • Table 116. Computer Vision in Healthcare Healthcare Providers , by Region USD Million (2023-2028)
  • Table 117. Computer Vision in Healthcare Diagnostic Centers , by Region USD Million (2023-2028)
  • Table 118. Computer Vision in Healthcare Other End Users (Academic Research Institutes , by Region USD Million (2023-2028)
  • Table 119. South America Computer Vision in Healthcare, by Country USD Million (2023-2028)
  • Table 120. South America Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 121. South America Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 122. South America Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 123. Brazil Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 124. Brazil Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 125. Brazil Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 126. Argentina Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 127. Argentina Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 128. Argentina Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 129. Rest of South America Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 130. Rest of South America Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 131. Rest of South America Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 132. Asia Pacific Computer Vision in Healthcare, by Country USD Million (2023-2028)
  • Table 133. Asia Pacific Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 134. Asia Pacific Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 135. Asia Pacific Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 136. China Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 137. China Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 138. China Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 139. Japan Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 140. Japan Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 141. Japan Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 142. India Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 143. India Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 144. India Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 145. South Korea Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 146. South Korea Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 147. South Korea Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 148. Taiwan Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 149. Taiwan Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 150. Taiwan Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 151. Australia Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 152. Australia Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 153. Australia Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 154. Rest of Asia-Pacific Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 155. Rest of Asia-Pacific Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 156. Rest of Asia-Pacific Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 157. Europe Computer Vision in Healthcare, by Country USD Million (2023-2028)
  • Table 158. Europe Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 159. Europe Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 160. Europe Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 161. Germany Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 162. Germany Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 163. Germany Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 164. France Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 165. France Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 166. France Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 167. Italy Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 168. Italy Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 169. Italy Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 170. United Kingdom Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 171. United Kingdom Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 172. United Kingdom Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 173. Netherlands Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 174. Netherlands Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 175. Netherlands Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 176. Rest of Europe Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 177. Rest of Europe Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 178. Rest of Europe Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 179. MEA Computer Vision in Healthcare, by Country USD Million (2023-2028)
  • Table 180. MEA Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 181. MEA Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 182. MEA Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 183. Middle East Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 184. Middle East Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 185. Middle East Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 186. Africa Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 187. Africa Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 188. Africa Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 189. North America Computer Vision in Healthcare, by Country USD Million (2023-2028)
  • Table 190. North America Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 191. North America Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 192. North America Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 193. United States Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 194. United States Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 195. United States Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 196. Canada Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 197. Canada Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 198. Canada Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 199. Mexico Computer Vision in Healthcare, by Type USD Million (2023-2028)
  • Table 200. Mexico Computer Vision in Healthcare, by Application USD Million (2023-2028)
  • Table 201. Mexico Computer Vision in Healthcare, by End User USD Million (2023-2028)
  • Table 202. Computer Vision in Healthcare: by Type(USD/Units)
  • Table 203. Research Programs/Design for This Report
  • Table 204. Key Data Information from Secondary Sources
  • Table 205. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Computer Vision in Healthcare: by Type USD Million (2017-2022)
  • Figure 5. Global Computer Vision in Healthcare: by Application USD Million (2017-2022)
  • Figure 6. Global Computer Vision in Healthcare: by End User USD Million (2017-2022)
  • Figure 7. South America Computer Vision in Healthcare Share (%), by Country
  • Figure 8. Asia Pacific Computer Vision in Healthcare Share (%), by Country
  • Figure 9. Europe Computer Vision in Healthcare Share (%), by Country
  • Figure 10. MEA Computer Vision in Healthcare Share (%), by Country
  • Figure 11. North America Computer Vision in Healthcare Share (%), by Country
  • Figure 12. Global Computer Vision in Healthcare: by Type USD/Units (2017-2022)
  • Figure 13. Global Computer Vision in Healthcare share by Players 2022 (%)
  • Figure 14. Global Computer Vision in Healthcare share by Players (Top 3) 2022(%)
  • Figure 15. Global Computer Vision in Healthcare share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. NVIDIA Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 18. NVIDIA Corporation (United States) Revenue: by Geography 2022
  • Figure 19. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 20. Microsoft (United States) Revenue: by Geography 2022
  • Figure 21. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. Intel Corporation (United States) Revenue: by Geography 2022
  • Figure 23. Xilinx Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 24. Xilinx Inc. (United States) Revenue: by Geography 2022
  • Figure 25. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 26. IBM (United States) Revenue: by Geography 2022
  • Figure 27. Google (United States) Revenue, Net Income and Gross profit
  • Figure 28. Google (United States) Revenue: by Geography 2022
  • Figure 29. Basler AG (Germany) Revenue, Net Income and Gross profit
  • Figure 30. Basler AG (Germany) Revenue: by Geography 2022
  • Figure 31. Arterys (United States) Revenue, Net Income and Gross profit
  • Figure 32. Arterys (United States) Revenue: by Geography 2022
  • Figure 33. AiCure (United States) Revenue, Net Income and Gross profit
  • Figure 34. AiCure (United States) Revenue: by Geography 2022
  • Figure 35. ICAD Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 36. ICAD Inc. (United States) Revenue: by Geography 2022
  • Figure 37. Global Computer Vision in Healthcare: by Type USD Million (2023-2028)
  • Figure 38. Global Computer Vision in Healthcare: by Application USD Million (2023-2028)
  • Figure 39. Global Computer Vision in Healthcare: by End User USD Million (2023-2028)
  • Figure 40. South America Computer Vision in Healthcare Share (%), by Country
  • Figure 41. Asia Pacific Computer Vision in Healthcare Share (%), by Country
  • Figure 42. Europe Computer Vision in Healthcare Share (%), by Country
  • Figure 43. MEA Computer Vision in Healthcare Share (%), by Country
  • Figure 44. North America Computer Vision in Healthcare Share (%), by Country
  • Figure 45. Global Computer Vision in Healthcare: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • NVIDIA Corporation (United States)
  • Microsoft (United States)
  • Intel Corporation (United States)
  • Xilinx Inc. (United States)
  • IBM (United States)
  • Google (United States)
  • Basler AG (Germany)
  • Arterys (United States)
  • AiCure (United States)
  • iCAD Inc. (United States)
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Apr 2023 234 Pages 81 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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"Government Initiatives to Increase the Adoption of AI-based Technologies, Big Data in Healthcare " is seen as one of major growth factors of Computer Vision in Healthcare Market in years to come.
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The Computer Vision in Healthcare market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete of companies available in our research coverage.

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