Global AI In Medical Imaging

AI In Medical Imaging Comprehensive Study by Application (Digital Pathology, Orthopedics, Cardiology, Urology, Gastrology, Neurology, Others), AI Technology (Computer Vision, Deep Learning, Others), Image Technology (X-ray, Computed Tomography (CT), Magnetic Resonance Imaging, Ultrasound Imaging, Molecular Imaging), End User (Hospitals, R&D Centers, Laboratories & Diagnostic Centers) Players and Region - Global Market Outlook to 2028

AI In Medical Imaging Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
AI In Medical Imaging Market Scope
Medical Imaging is a technology that is used to create images of the human body to diagnose, monitor, and treat medical illness. AI can improve medical imaging processes like image analysis and help with patient diagnosis. With many applied AI solutions and many more AI applications showing promising scientific test results, the market for AI in medical imaging is forecast to grow exponentially over the next few years.

AttributesDetails
Study Period2018-2028
Base Year2022
Largest MarketNorth America & Europe
UnitValue (USD Million)
Key Companies ProfiledGE Healthcare (United States), IBM Corporation (United States), Philips Healthcare (United States), Samsung Electronics (South Korea), Medtronic (Ireland), Hitachi Medical Corporation (Japan), Toshiba Corporation (Japan), Echonous Inc (United States), Enlitic, Inc (United States), RapidAI (United States), oxipit (Lithuania), Siemens Healthineers AG (Germany), Intel Corporation (United States) and Nvidia Corporation (United States)
CAGR%


Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global AI In Medical Imaging market throughout the predicted period.

GE Healthcare (United States), IBM Corporation (United States), Philips Healthcare (United States), Samsung Electronics (South Korea), Medtronic (Ireland), Hitachi Medical Corporation (Japan), Toshiba Corporation (Japan), Echonous Inc (United States), Enlitic, Inc (United States), RapidAI (United States), oxipit (Lithuania), Siemens Healthineers AG (Germany), Intel Corporation (United States) and Nvidia Corporation (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Mindray Medical International (China), Planmed Oy (Finland), CurveBeam LLC (United States) and Shimadzu Corporation (Japan).

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.

Segmentation Overview
The study have segmented the market of Global AI In Medical Imaging market by Type , by Application (Digital Pathology, Orthopedics, Cardiology, Urology, Gastrology, Neurology and Others) and Region with country level break-up.

On the basis of application, Hospitals segment is dominating the market in the year 2022

On the basis of geography, the market of AI In Medical Imaging 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). North America & Europe region held largest market share in the year 2022.

Market Leaders and their expansionary development strategies
In Aug 2020, The National Institutes of Health has launched the Medical Imaging and Data Resource Center (MIDRC), an ambitious effort that will harness the power of artificial intelligence and medical imaging to fight COVID-19. and In Jan 2020, Oxipit announced a partnership with Swiss medical distribution company Healthcare Konnect to bring ChestEye AI imaging suite to healthcare institutions in Nigeria. The partnership aims to introduce vanguard AI diagnostic capabilities and improve the detection of 75 pathologies, including tuberculosis, to one of the largest markets in Africa.
In Dec 2019, GE Healthcare launched more than 30 new, imaging intelligent applications and smart devices designed to drive efficiency in radiology departments, aiming to double productivity and cost savings for systems by 2025. and In Dec 2019, RAPID is now available and installed in Vietnam. The RAPID artificial intelligence framework helps to quantify brain lesions and extend the window of potential stroke intervention from six hours after onset to up to 24 hours, for patients with salvageable brain tissue.
"Devices used in medical imaging are considered medical devices under the Federal Food, Drug, and Cosmetic Act (FD&C Act) as amended by the Medical Device Amendments of 1976 and subsequent related amendments. Most existing medical imaging technologies are considered non-510(k)-exempt Class I and Class II medical devices by FDA, making them eligible for clearance under the 510(k) pathway. Under this pathway, new medical devices that are substantially equivalent to existing, legally marketed Class I and Class II devices in terms of intended use, indications for use, and technological characteristics may be cleared for the U.S. market. The legally marketed devices with which comparison is made are referred to as predicate devices."

Influencing Trend:
The Adoption of Augmented and Virtual Reality in Medical Imaging and Growing Inclination of Doctors toward AI-based Assistance

Market Growth Drivers:
Increasing Number of Patients All-Around the Globe Due to the Prevailing COVID-19 Worldwide and The Growing Number of Cancer Patients and Diagnostic Procedures

Challenges:
Stringent Government Laws Associated with Equipment and Machines used in Medical Imaging and Lack of Awareness about AI in Medical Imaging Advantages among People

Restraints:
The High Installation Cost Involved in Medical Imaging Instrument

Opportunities:
Investments in Technological Advancement in Healthcare Infrastructures and Growing Development of Healthcare Infrastructure

Key Target Audience
AI In Medical Imaging Provider, Technology Provider, Medical Imaging Manufacturers, Medical Imaging Distributors and Suppliers, Research and Development Institutes, Potential Investors, Industry Associations and Others

Report Objectives / Segmentation Covered

By Application
  • Digital Pathology
  • Orthopedics
  • Cardiology
  • Urology
  • Gastrology
  • Neurology
  • Others
By AI Technology
  • Computer Vision
  • Deep Learning
  • Others

By Image Technology
  • X-ray
  • Computed Tomography (CT)
  • Magnetic Resonance Imaging
  • Ultrasound Imaging
  • Molecular Imaging

By End User
  • Hospitals
  • R&D Centers
  • Laboratories & Diagnostic Centers

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. Increasing Number of Patients All-Around the Globe Due to the Prevailing COVID-19 Worldwide
      • 3.2.2. The Growing Number of Cancer Patients and Diagnostic Procedures
    • 3.3. Market Challenges
      • 3.3.1. Stringent Government Laws Associated with Equipment and Machines used in Medical Imaging
      • 3.3.2. Lack of Awareness about AI in Medical Imaging Advantages among People
    • 3.4. Market Trends
      • 3.4.1. The Adoption of Augmented and Virtual Reality in Medical Imaging
      • 3.4.2. Growing Inclination of Doctors toward AI-based Assistance
  • 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 AI In Medical Imaging, by Application, AI Technology, Image Technology, End User and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global AI In Medical Imaging (Value)
      • 5.2.1. Global AI In Medical Imaging by: Application (Value)
        • 5.2.1.1. Digital Pathology
        • 5.2.1.2. Orthopedics
        • 5.2.1.3. Cardiology
        • 5.2.1.4. Urology
        • 5.2.1.5. Gastrology
        • 5.2.1.6. Neurology
        • 5.2.1.7. Others
      • 5.2.2. Global AI In Medical Imaging by: AI Technology (Value)
        • 5.2.2.1. Computer Vision
        • 5.2.2.2. Deep Learning
        • 5.2.2.3. Others
      • 5.2.3. Global AI In Medical Imaging by: Image Technology (Value)
        • 5.2.3.1. X-ray
        • 5.2.3.2. Computed Tomography (CT)
        • 5.2.3.3. Magnetic Resonance Imaging
        • 5.2.3.4. Ultrasound Imaging
        • 5.2.3.5. Molecular Imaging
      • 5.2.4. Global AI In Medical Imaging by: End User (Value)
        • 5.2.4.1. Hospitals
        • 5.2.4.2. R&D Centers
        • 5.2.4.3. Laboratories & Diagnostic Centers
      • 5.2.5. Global AI In Medical Imaging Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. AI In Medical Imaging: 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. GE Healthcare (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. IBM Corporation (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. Philips Healthcare (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. Samsung Electronics (South Korea)
        • 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. Medtronic (Ireland)
        • 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. Hitachi Medical Corporation (Japan)
        • 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. Toshiba Corporation (Japan)
        • 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. Echonous Inc (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. Enlitic, Inc (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. RapidAI (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
      • 6.4.11. Oxipit (Lithuania)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Siemens Healthineers AG (Germany)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Intel Corporation (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. Nvidia Corporation (United States)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
  • 7. Global AI In Medical Imaging Sale, by Application, AI Technology, Image Technology, End User and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global AI In Medical Imaging (Value)
      • 7.2.1. Global AI In Medical Imaging by: Application (Value)
        • 7.2.1.1. Digital Pathology
        • 7.2.1.2. Orthopedics
        • 7.2.1.3. Cardiology
        • 7.2.1.4. Urology
        • 7.2.1.5. Gastrology
        • 7.2.1.6. Neurology
        • 7.2.1.7. Others
      • 7.2.2. Global AI In Medical Imaging by: AI Technology (Value)
        • 7.2.2.1. Computer Vision
        • 7.2.2.2. Deep Learning
        • 7.2.2.3. Others
      • 7.2.3. Global AI In Medical Imaging by: Image Technology (Value)
        • 7.2.3.1. X-ray
        • 7.2.3.2. Computed Tomography (CT)
        • 7.2.3.3. Magnetic Resonance Imaging
        • 7.2.3.4. Ultrasound Imaging
        • 7.2.3.5. Molecular Imaging
      • 7.2.4. Global AI In Medical Imaging by: End User (Value)
        • 7.2.4.1. Hospitals
        • 7.2.4.2. R&D Centers
        • 7.2.4.3. Laboratories & Diagnostic Centers
      • 7.2.5. Global AI In Medical Imaging Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 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. AI In Medical Imaging: by Application(USD Million)
  • Table 2. AI In Medical Imaging Digital Pathology , by Region USD Million (2017-2022)
  • Table 3. AI In Medical Imaging Orthopedics , by Region USD Million (2017-2022)
  • Table 4. AI In Medical Imaging Cardiology , by Region USD Million (2017-2022)
  • Table 5. AI In Medical Imaging Urology , by Region USD Million (2017-2022)
  • Table 6. AI In Medical Imaging Gastrology , by Region USD Million (2017-2022)
  • Table 7. AI In Medical Imaging Neurology , by Region USD Million (2017-2022)
  • Table 8. AI In Medical Imaging Others , by Region USD Million (2017-2022)
  • Table 9. AI In Medical Imaging: by AI Technology(USD Million)
  • Table 10. AI In Medical Imaging Computer Vision , by Region USD Million (2017-2022)
  • Table 11. AI In Medical Imaging Deep Learning , by Region USD Million (2017-2022)
  • Table 12. AI In Medical Imaging Others , by Region USD Million (2017-2022)
  • Table 13. AI In Medical Imaging: by Image Technology(USD Million)
  • Table 14. AI In Medical Imaging X-ray , by Region USD Million (2017-2022)
  • Table 15. AI In Medical Imaging Computed Tomography (CT) , by Region USD Million (2017-2022)
  • Table 16. AI In Medical Imaging Magnetic Resonance Imaging , by Region USD Million (2017-2022)
  • Table 17. AI In Medical Imaging Ultrasound Imaging , by Region USD Million (2017-2022)
  • Table 18. AI In Medical Imaging Molecular Imaging , by Region USD Million (2017-2022)
  • Table 19. AI In Medical Imaging: by End User(USD Million)
  • Table 20. AI In Medical Imaging Hospitals , by Region USD Million (2017-2022)
  • Table 21. AI In Medical Imaging R&D Centers , by Region USD Million (2017-2022)
  • Table 22. AI In Medical Imaging Laboratories & Diagnostic Centers , by Region USD Million (2017-2022)
  • Table 23. South America AI In Medical Imaging, by Country USD Million (2017-2022)
  • Table 24. South America AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 25. South America AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 26. South America AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 27. South America AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 28. Brazil AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 29. Brazil AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 30. Brazil AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 31. Brazil AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 32. Argentina AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 33. Argentina AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 34. Argentina AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 35. Argentina AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 36. Rest of South America AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 37. Rest of South America AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 38. Rest of South America AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 39. Rest of South America AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 40. Asia Pacific AI In Medical Imaging, by Country USD Million (2017-2022)
  • Table 41. Asia Pacific AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 42. Asia Pacific AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 43. Asia Pacific AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 44. Asia Pacific AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 45. China AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 46. China AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 47. China AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 48. China AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 49. Japan AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 50. Japan AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 51. Japan AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 52. Japan AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 53. India AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 54. India AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 55. India AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 56. India AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 57. South Korea AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 58. South Korea AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 59. South Korea AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 60. South Korea AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 61. Taiwan AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 62. Taiwan AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 63. Taiwan AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 64. Taiwan AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 65. Australia AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 66. Australia AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 67. Australia AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 68. Australia AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 69. Rest of Asia-Pacific AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 70. Rest of Asia-Pacific AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 71. Rest of Asia-Pacific AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 72. Rest of Asia-Pacific AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 73. Europe AI In Medical Imaging, by Country USD Million (2017-2022)
  • Table 74. Europe AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 75. Europe AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 76. Europe AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 77. Europe AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 78. Germany AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 79. Germany AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 80. Germany AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 81. Germany AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 82. France AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 83. France AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 84. France AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 85. France AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 86. Italy AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 87. Italy AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 88. Italy AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 89. Italy AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 90. United Kingdom AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 91. United Kingdom AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 92. United Kingdom AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 93. United Kingdom AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 94. Netherlands AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 95. Netherlands AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 96. Netherlands AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 97. Netherlands AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 98. Rest of Europe AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 99. Rest of Europe AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 100. Rest of Europe AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 101. Rest of Europe AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 102. MEA AI In Medical Imaging, by Country USD Million (2017-2022)
  • Table 103. MEA AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 104. MEA AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 105. MEA AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 106. MEA AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 107. Middle East AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 108. Middle East AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 109. Middle East AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 110. Middle East AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 111. Africa AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 112. Africa AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 113. Africa AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 114. Africa AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 115. North America AI In Medical Imaging, by Country USD Million (2017-2022)
  • Table 116. North America AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 117. North America AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 118. North America AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 119. North America AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 120. United States AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 121. United States AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 122. United States AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 123. United States AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 124. Canada AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 125. Canada AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 126. Canada AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 127. Canada AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 128. Mexico AI In Medical Imaging, by Application USD Million (2017-2022)
  • Table 129. Mexico AI In Medical Imaging, by AI Technology USD Million (2017-2022)
  • Table 130. Mexico AI In Medical Imaging, by Image Technology USD Million (2017-2022)
  • Table 131. Mexico AI In Medical Imaging, by End User USD Million (2017-2022)
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Company Basic Information, Sales Area and Its Competitors
  • Table 142. Company Basic Information, Sales Area and Its Competitors
  • Table 143. Company Basic Information, Sales Area and Its Competitors
  • Table 144. Company Basic Information, Sales Area and Its Competitors
  • Table 145. Company Basic Information, Sales Area and Its Competitors
  • Table 146. AI In Medical Imaging: by Application(USD Million)
  • Table 147. AI In Medical Imaging Digital Pathology , by Region USD Million (2023-2028)
  • Table 148. AI In Medical Imaging Orthopedics , by Region USD Million (2023-2028)
  • Table 149. AI In Medical Imaging Cardiology , by Region USD Million (2023-2028)
  • Table 150. AI In Medical Imaging Urology , by Region USD Million (2023-2028)
  • Table 151. AI In Medical Imaging Gastrology , by Region USD Million (2023-2028)
  • Table 152. AI In Medical Imaging Neurology , by Region USD Million (2023-2028)
  • Table 153. AI In Medical Imaging Others , by Region USD Million (2023-2028)
  • Table 154. AI In Medical Imaging: by AI Technology(USD Million)
  • Table 155. AI In Medical Imaging Computer Vision , by Region USD Million (2023-2028)
  • Table 156. AI In Medical Imaging Deep Learning , by Region USD Million (2023-2028)
  • Table 157. AI In Medical Imaging Others , by Region USD Million (2023-2028)
  • Table 158. AI In Medical Imaging: by Image Technology(USD Million)
  • Table 159. AI In Medical Imaging X-ray , by Region USD Million (2023-2028)
  • Table 160. AI In Medical Imaging Computed Tomography (CT) , by Region USD Million (2023-2028)
  • Table 161. AI In Medical Imaging Magnetic Resonance Imaging , by Region USD Million (2023-2028)
  • Table 162. AI In Medical Imaging Ultrasound Imaging , by Region USD Million (2023-2028)
  • Table 163. AI In Medical Imaging Molecular Imaging , by Region USD Million (2023-2028)
  • Table 164. AI In Medical Imaging: by End User(USD Million)
  • Table 165. AI In Medical Imaging Hospitals , by Region USD Million (2023-2028)
  • Table 166. AI In Medical Imaging R&D Centers , by Region USD Million (2023-2028)
  • Table 167. AI In Medical Imaging Laboratories & Diagnostic Centers , by Region USD Million (2023-2028)
  • Table 168. South America AI In Medical Imaging, by Country USD Million (2023-2028)
  • Table 169. South America AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 170. South America AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 171. South America AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 172. South America AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 173. Brazil AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 174. Brazil AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 175. Brazil AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 176. Brazil AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 177. Argentina AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 178. Argentina AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 179. Argentina AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 180. Argentina AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 181. Rest of South America AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 182. Rest of South America AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 183. Rest of South America AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 184. Rest of South America AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 185. Asia Pacific AI In Medical Imaging, by Country USD Million (2023-2028)
  • Table 186. Asia Pacific AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 187. Asia Pacific AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 188. Asia Pacific AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 189. Asia Pacific AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 190. China AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 191. China AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 192. China AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 193. China AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 194. Japan AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 195. Japan AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 196. Japan AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 197. Japan AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 198. India AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 199. India AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 200. India AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 201. India AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 202. South Korea AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 203. South Korea AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 204. South Korea AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 205. South Korea AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 206. Taiwan AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 207. Taiwan AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 208. Taiwan AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 209. Taiwan AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 210. Australia AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 211. Australia AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 212. Australia AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 213. Australia AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 214. Rest of Asia-Pacific AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 215. Rest of Asia-Pacific AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 216. Rest of Asia-Pacific AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 217. Rest of Asia-Pacific AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 218. Europe AI In Medical Imaging, by Country USD Million (2023-2028)
  • Table 219. Europe AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 220. Europe AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 221. Europe AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 222. Europe AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 223. Germany AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 224. Germany AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 225. Germany AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 226. Germany AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 227. France AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 228. France AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 229. France AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 230. France AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 231. Italy AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 232. Italy AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 233. Italy AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 234. Italy AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 235. United Kingdom AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 236. United Kingdom AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 237. United Kingdom AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 238. United Kingdom AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 239. Netherlands AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 240. Netherlands AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 241. Netherlands AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 242. Netherlands AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 243. Rest of Europe AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 244. Rest of Europe AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 245. Rest of Europe AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 246. Rest of Europe AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 247. MEA AI In Medical Imaging, by Country USD Million (2023-2028)
  • Table 248. MEA AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 249. MEA AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 250. MEA AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 251. MEA AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 252. Middle East AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 253. Middle East AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 254. Middle East AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 255. Middle East AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 256. Africa AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 257. Africa AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 258. Africa AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 259. Africa AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 260. North America AI In Medical Imaging, by Country USD Million (2023-2028)
  • Table 261. North America AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 262. North America AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 263. North America AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 264. North America AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 265. United States AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 266. United States AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 267. United States AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 268. United States AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 269. Canada AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 270. Canada AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 271. Canada AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 272. Canada AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 273. Mexico AI In Medical Imaging, by Application USD Million (2023-2028)
  • Table 274. Mexico AI In Medical Imaging, by AI Technology USD Million (2023-2028)
  • Table 275. Mexico AI In Medical Imaging, by Image Technology USD Million (2023-2028)
  • Table 276. Mexico AI In Medical Imaging, by End User USD Million (2023-2028)
  • Table 277. Research Programs/Design for This Report
  • Table 278. Key Data Information from Secondary Sources
  • Table 279. 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 AI In Medical Imaging: by Application USD Million (2017-2022)
  • Figure 5. Global AI In Medical Imaging: by AI Technology USD Million (2017-2022)
  • Figure 6. Global AI In Medical Imaging: by Image Technology USD Million (2017-2022)
  • Figure 7. Global AI In Medical Imaging: by End User USD Million (2017-2022)
  • Figure 8. South America AI In Medical Imaging Share (%), by Country
  • Figure 9. Asia Pacific AI In Medical Imaging Share (%), by Country
  • Figure 10. Europe AI In Medical Imaging Share (%), by Country
  • Figure 11. MEA AI In Medical Imaging Share (%), by Country
  • Figure 12. North America AI In Medical Imaging Share (%), by Country
  • Figure 13. Global AI In Medical Imaging share by Players 2022 (%)
  • Figure 14. Global AI In Medical Imaging share by Players (Top 3) 2022(%)
  • Figure 15. Global AI In Medical Imaging share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. GE Healthcare (United States) Revenue, Net Income and Gross profit
  • Figure 18. GE Healthcare (United States) Revenue: by Geography 2022
  • Figure 19. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. IBM Corporation (United States) Revenue: by Geography 2022
  • Figure 21. Philips Healthcare (United States) Revenue, Net Income and Gross profit
  • Figure 22. Philips Healthcare (United States) Revenue: by Geography 2022
  • Figure 23. Samsung Electronics (South Korea) Revenue, Net Income and Gross profit
  • Figure 24. Samsung Electronics (South Korea) Revenue: by Geography 2022
  • Figure 25. Medtronic (Ireland) Revenue, Net Income and Gross profit
  • Figure 26. Medtronic (Ireland) Revenue: by Geography 2022
  • Figure 27. Hitachi Medical Corporation (Japan) Revenue, Net Income and Gross profit
  • Figure 28. Hitachi Medical Corporation (Japan) Revenue: by Geography 2022
  • Figure 29. Toshiba Corporation (Japan) Revenue, Net Income and Gross profit
  • Figure 30. Toshiba Corporation (Japan) Revenue: by Geography 2022
  • Figure 31. Echonous Inc (United States) Revenue, Net Income and Gross profit
  • Figure 32. Echonous Inc (United States) Revenue: by Geography 2022
  • Figure 33. Enlitic, Inc (United States) Revenue, Net Income and Gross profit
  • Figure 34. Enlitic, Inc (United States) Revenue: by Geography 2022
  • Figure 35. RapidAI (United States) Revenue, Net Income and Gross profit
  • Figure 36. RapidAI (United States) Revenue: by Geography 2022
  • Figure 37. Oxipit (Lithuania) Revenue, Net Income and Gross profit
  • Figure 38. Oxipit (Lithuania) Revenue: by Geography 2022
  • Figure 39. Siemens Healthineers AG (Germany) Revenue, Net Income and Gross profit
  • Figure 40. Siemens Healthineers AG (Germany) Revenue: by Geography 2022
  • Figure 41. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 42. Intel Corporation (United States) Revenue: by Geography 2022
  • Figure 43. Nvidia Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 44. Nvidia Corporation (United States) Revenue: by Geography 2022
  • Figure 45. Global AI In Medical Imaging: by Application USD Million (2023-2028)
  • Figure 46. Global AI In Medical Imaging: by AI Technology USD Million (2023-2028)
  • Figure 47. Global AI In Medical Imaging: by Image Technology USD Million (2023-2028)
  • Figure 48. Global AI In Medical Imaging: by End User USD Million (2023-2028)
  • Figure 49. South America AI In Medical Imaging Share (%), by Country
  • Figure 50. Asia Pacific AI In Medical Imaging Share (%), by Country
  • Figure 51. Europe AI In Medical Imaging Share (%), by Country
  • Figure 52. MEA AI In Medical Imaging Share (%), by Country
  • Figure 53. North America AI In Medical Imaging Share (%), by Country
List of companies from research coverage that are profiled in the study
  • GE Healthcare (United States)
  • IBM Corporation (United States)
  • Philips Healthcare (United States)
  • Samsung Electronics (South Korea)
  • Medtronic (Ireland)
  • Hitachi Medical Corporation (Japan)
  • Toshiba Corporation (Japan)
  • Echonous Inc (United States)
  • Enlitic, Inc (United States)
  • RapidAI (United States)
  • oxipit (Lithuania)
  • Siemens Healthineers AG (Germany)
  • Intel Corporation (United States)
  • Nvidia Corporation (United States)
Additional players considered in the study are as follows:
Mindray Medical International (China) , Planmed Oy (Finland) , CurveBeam LLC (United States) , Shimadzu Corporation (Japan)
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May 2023 186 Pages 94 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global AI In Medical Imaging Quantitative research analysis
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Frequently Asked Questions (FAQ):

The key segments that are playing vital role in AI In Medical Imaging Market are by end use application [Digital Pathology, Orthopedics, Cardiology, Urology, Gastrology, Neurology and Others].
The AI In Medical Imaging Market is gaining popularity and expected to see strong valuation by 2028.
  • Increasing Number of Patients All-Around the Globe Due to the Prevailing COVID-19 Worldwide
  • The Growing Number of Cancer Patients and Diagnostic Procedures

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