Global AI in Healthcare Market

AI in Healthcare Comprehensive Study by Type (Hardware, Software, Services), Application (Drug discovery, Inpatient care & hospital management, Lifestyle management & monitoring, Medical imaging & diagnostics, Patient data & risk analysis, Precision medicine, Research, Virtual assistant, Wearables), End Users (ACOS & MCOS, Patients, Payers, Pharmaceutical & biotechnology companies, Providers), Technology (Context-aware processing, Deep learning, Natural language processing, Querying method) Players and Region - Global Market Outlook to 2028

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

Access Sample Report Make An Enquiry Before Purchase
  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
AI in Healthcare Market Scope
Artificial intelligence (AI) in healthcare is the use of algorithms to manage large set of data in healthcare and provide data driven diagnostic solution. Growing number of healthcare service providers fueled by increasing government support are decoding the vast potential of incorporation of AI in healthcare which is still in its infancy stage.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)
Key Companies ProfiledNVIDIA [United States], Google [United States], IBM [United States], Microsoft [United States], General Vision [ United States], Enlitic [United States], Next IT [United States], Welltok [United States], ICarbonX [China], Recursion Pharmaceuticals [United Sttaes], GE [United States], Siemens [ Germany], Johnson & Johnson [United States], Medtronic [Ireland], Careskore [United States], Zephyr Health [United States], Oncora Medical [United States], Sentrian [Australia], Bay Labs [United States], Deep Genomics [Canada] and Cloudmedx [united States]
CAGR%


AI in Healthcare market companies operating in these industries are focusing more on efficient growth, improvement of operational efficiency and productivity, achieving high safety standards, and focusing on maintaining sustainable development. The market is highly competitive with a few players occupying the major share. The key players are highly focused on developing and innovating new strategies to maintain their market position and customer base. The companies are coming up with partnerships or agreements along with planning strategic activities such as partnerships, product launches, mergers, and acquisitions which will help them to sustain in the market and maintain their competitive edge. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global AI in Healthcare market throughout the predicted period.

NVIDIA [United States], Google [United States], IBM [United States], Microsoft [United States], General Vision [ United States], Enlitic [United States], Next IT [United States], Welltok [United States], ICarbonX [China], Recursion Pharmaceuticals [United Sttaes], GE [United States], Siemens [ Germany], Johnson & Johnson [United States], Medtronic [Ireland], Careskore [United States], Zephyr Health [United States], Oncora Medical [United States], Sentrian [Australia], Bay Labs [United States], Deep Genomics [Canada] and Cloudmedx [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 Intel [United States], AWS [United States]., Imagia Cybernetics [Canada], Precision Health AI [United States] and Cloud Pharmaceuticals [United States].

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 Healthcare market by Type , by Application (Drug discovery, Inpatient care & hospital management, Lifestyle management & monitoring, Medical imaging & diagnostics, Patient data & risk analysis, Precision medicine, Research, Virtual assistant and Wearables) and Region with country level break-up.

On the basis of geography, the market of AI 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). region held largest market share in the year 2022.

In July 2018, ResMed , a global leader in sleep apnea treatment in collaboration with Verily announced their agreement to set up a new venture to study the health and financial impacts of undiagnosed and untreated sleep apnea. Moreover, the collaboration is aim to develop software to enable healthcare providers to more efficiently identify, diagnose, treat and manage individuals with sleep apnea and other breathing-related sleep disorders.


Influencing Trend:
Shift from Doctor-Centric Diagnostics to Data-Driven Diagnostics and Rise in Adoption of Cloud Computing

Market Growth Drivers:
Growing Need for Cost Effective Healthcare Solution and Growing Complex and Large Data Set

Challenges:
Protecting Data Security and Patients Data and Issues Related with Interoperability

Restraints:
Lack of Skilled Workforce to Manage AI in Healthcare and Reluctance Among Healthcare Staff Towards Adoption of AI

Opportunities:
Growing Focus on Development of Human-Aware AI Systems and Rise in Healthcare Budget and Growing Data Volume

Key Target Audience
Healthcare Service Providers, AI Interrogators, Potential technology Investors, Research Institutes, Government Agencies and Others

Report Objectives / Segmentation Covered

By Type
  • Hardware
  • Software
  • Services
By Application
  • Drug discovery
  • Inpatient care & hospital management
  • Lifestyle management & monitoring
  • Medical imaging & diagnostics
  • Patient data & risk analysis
  • Precision medicine
  • Research
  • Virtual assistant
  • Wearables
By End Users
  • ACOS & MCOS
  • Patients
  • Payers
  • Pharmaceutical & biotechnology companies
  • Providers

By Technology
  • Context-aware processing
  • Deep learning
  • Natural language processing
  • Querying method

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. Growing Need for Cost Effective Healthcare Solution
      • 3.2.2. Growing Complex and Large Data Set
    • 3.3. Market Challenges
      • 3.3.1. Protecting Data Security and Patients Data
      • 3.3.2. Issues Related with Interoperability
    • 3.4. Market Trends
      • 3.4.1. Shift from Doctor-Centric Diagnostics to Data-Driven Diagnostics
      • 3.4.2. Rise in Adoption of Cloud Computing
  • 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 Healthcare, by Type, Application, End Users, Technology and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global AI in Healthcare (Value)
      • 5.2.1. Global AI in Healthcare by: Type (Value)
        • 5.2.1.1. Hardware
        • 5.2.1.2. Software
        • 5.2.1.3. Services
      • 5.2.2. Global AI in Healthcare by: Application (Value)
        • 5.2.2.1. Drug discovery
        • 5.2.2.2. Inpatient care & hospital management
        • 5.2.2.3. Lifestyle management & monitoring
        • 5.2.2.4. Medical imaging & diagnostics
        • 5.2.2.5. Patient data & risk analysis
        • 5.2.2.6. Precision medicine
        • 5.2.2.7. Research
        • 5.2.2.8. Virtual assistant
        • 5.2.2.9. Wearables
      • 5.2.3. Global AI in Healthcare by: End Users (Value)
        • 5.2.3.1. ACOS & MCOS
        • 5.2.3.2. Patients
        • 5.2.3.3. Payers
        • 5.2.3.4. Pharmaceutical & biotechnology companies
        • 5.2.3.5. Providers
      • 5.2.4. Global AI in Healthcare by: Technology (Value)
        • 5.2.4.1. Context-aware processing
        • 5.2.4.2. Deep learning
        • 5.2.4.3. Natural language processing
        • 5.2.4.4. Querying method
      • 5.2.5. Global AI in Healthcare 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
    • 5.3. Global AI in Healthcare (Price)
      • 5.3.1. Global AI in Healthcare by: Type (Price)
  • 6. AI 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 [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. Google [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. IBM [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. Microsoft [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. General Vision [ 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. Enlitic [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. Next IT [United States]
        • 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. Welltok [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. ICarbonX [China]
        • 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. Recursion Pharmaceuticals [United Sttaes]
        • 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. GE [United States]
        • 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 [ 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. Johnson & Johnson [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. Medtronic [Ireland]
        • 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
      • 6.4.15. Careskore [United States]
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
      • 6.4.16. Zephyr Health [United States]
        • 6.4.16.1. Business Overview
        • 6.4.16.2. Products/Services Offerings
        • 6.4.16.3. Financial Analysis
        • 6.4.16.4. SWOT Analysis
      • 6.4.17. Oncora Medical [United States]
        • 6.4.17.1. Business Overview
        • 6.4.17.2. Products/Services Offerings
        • 6.4.17.3. Financial Analysis
        • 6.4.17.4. SWOT Analysis
      • 6.4.18. Sentrian [Australia]
        • 6.4.18.1. Business Overview
        • 6.4.18.2. Products/Services Offerings
        • 6.4.18.3. Financial Analysis
        • 6.4.18.4. SWOT Analysis
      • 6.4.19. Bay Labs [United States]
        • 6.4.19.1. Business Overview
        • 6.4.19.2. Products/Services Offerings
        • 6.4.19.3. Financial Analysis
        • 6.4.19.4. SWOT Analysis
      • 6.4.20. Deep Genomics [Canada]
        • 6.4.20.1. Business Overview
        • 6.4.20.2. Products/Services Offerings
        • 6.4.20.3. Financial Analysis
        • 6.4.20.4. SWOT Analysis
      • 6.4.21. Cloudmedx [united States]
        • 6.4.21.1. Business Overview
        • 6.4.21.2. Products/Services Offerings
        • 6.4.21.3. Financial Analysis
        • 6.4.21.4. SWOT Analysis
  • 7. Global AI in Healthcare Sale, by Type, Application, End Users, Technology and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global AI in Healthcare (Value)
      • 7.2.1. Global AI in Healthcare by: Type (Value)
        • 7.2.1.1. Hardware
        • 7.2.1.2. Software
        • 7.2.1.3. Services
      • 7.2.2. Global AI in Healthcare by: Application (Value)
        • 7.2.2.1. Drug discovery
        • 7.2.2.2. Inpatient care & hospital management
        • 7.2.2.3. Lifestyle management & monitoring
        • 7.2.2.4. Medical imaging & diagnostics
        • 7.2.2.5. Patient data & risk analysis
        • 7.2.2.6. Precision medicine
        • 7.2.2.7. Research
        • 7.2.2.8. Virtual assistant
        • 7.2.2.9. Wearables
      • 7.2.3. Global AI in Healthcare by: End Users (Value)
        • 7.2.3.1. ACOS & MCOS
        • 7.2.3.2. Patients
        • 7.2.3.3. Payers
        • 7.2.3.4. Pharmaceutical & biotechnology companies
        • 7.2.3.5. Providers
      • 7.2.4. Global AI in Healthcare by: Technology (Value)
        • 7.2.4.1. Context-aware processing
        • 7.2.4.2. Deep learning
        • 7.2.4.3. Natural language processing
        • 7.2.4.4. Querying method
      • 7.2.5. Global AI in Healthcare 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
    • 7.3. Global AI in Healthcare (Price)
      • 7.3.1. Global AI 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. AI in Healthcare: by Type(USD Million)
  • Table 2. AI in Healthcare Hardware , by Region USD Million (2017-2022)
  • Table 3. AI in Healthcare Software , by Region USD Million (2017-2022)
  • Table 4. AI in Healthcare Services , by Region USD Million (2017-2022)
  • Table 5. AI in Healthcare: by Application(USD Million)
  • Table 6. AI in Healthcare Drug discovery , by Region USD Million (2017-2022)
  • Table 7. AI in Healthcare Inpatient care & hospital management , by Region USD Million (2017-2022)
  • Table 8. AI in Healthcare Lifestyle management & monitoring , by Region USD Million (2017-2022)
  • Table 9. AI in Healthcare Medical imaging & diagnostics , by Region USD Million (2017-2022)
  • Table 10. AI in Healthcare Patient data & risk analysis , by Region USD Million (2017-2022)
  • Table 11. AI in Healthcare Precision medicine , by Region USD Million (2017-2022)
  • Table 12. AI in Healthcare Research , by Region USD Million (2017-2022)
  • Table 13. AI in Healthcare Virtual assistant , by Region USD Million (2017-2022)
  • Table 14. AI in Healthcare Wearables , by Region USD Million (2017-2022)
  • Table 15. AI in Healthcare: by End Users(USD Million)
  • Table 16. AI in Healthcare ACOS & MCOS , by Region USD Million (2017-2022)
  • Table 17. AI in Healthcare Patients , by Region USD Million (2017-2022)
  • Table 18. AI in Healthcare Payers , by Region USD Million (2017-2022)
  • Table 19. AI in Healthcare Pharmaceutical & biotechnology companies , by Region USD Million (2017-2022)
  • Table 20. AI in Healthcare Providers , by Region USD Million (2017-2022)
  • Table 21. AI in Healthcare: by Technology(USD Million)
  • Table 22. AI in Healthcare Context-aware processing , by Region USD Million (2017-2022)
  • Table 23. AI in Healthcare Deep learning , by Region USD Million (2017-2022)
  • Table 24. AI in Healthcare Natural language processing , by Region USD Million (2017-2022)
  • Table 25. AI in Healthcare Querying method , by Region USD Million (2017-2022)
  • Table 26. South America AI in Healthcare, by Country USD Million (2017-2022)
  • Table 27. South America AI in Healthcare, by Type USD Million (2017-2022)
  • Table 28. South America AI in Healthcare, by Application USD Million (2017-2022)
  • Table 29. South America AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 30. South America AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 31. Brazil AI in Healthcare, by Type USD Million (2017-2022)
  • Table 32. Brazil AI in Healthcare, by Application USD Million (2017-2022)
  • Table 33. Brazil AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 34. Brazil AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 35. Argentina AI in Healthcare, by Type USD Million (2017-2022)
  • Table 36. Argentina AI in Healthcare, by Application USD Million (2017-2022)
  • Table 37. Argentina AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 38. Argentina AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 39. Rest of South America AI in Healthcare, by Type USD Million (2017-2022)
  • Table 40. Rest of South America AI in Healthcare, by Application USD Million (2017-2022)
  • Table 41. Rest of South America AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 42. Rest of South America AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 43. Asia Pacific AI in Healthcare, by Country USD Million (2017-2022)
  • Table 44. Asia Pacific AI in Healthcare, by Type USD Million (2017-2022)
  • Table 45. Asia Pacific AI in Healthcare, by Application USD Million (2017-2022)
  • Table 46. Asia Pacific AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 47. Asia Pacific AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 48. China AI in Healthcare, by Type USD Million (2017-2022)
  • Table 49. China AI in Healthcare, by Application USD Million (2017-2022)
  • Table 50. China AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 51. China AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 52. Japan AI in Healthcare, by Type USD Million (2017-2022)
  • Table 53. Japan AI in Healthcare, by Application USD Million (2017-2022)
  • Table 54. Japan AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 55. Japan AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 56. India AI in Healthcare, by Type USD Million (2017-2022)
  • Table 57. India AI in Healthcare, by Application USD Million (2017-2022)
  • Table 58. India AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 59. India AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 60. South Korea AI in Healthcare, by Type USD Million (2017-2022)
  • Table 61. South Korea AI in Healthcare, by Application USD Million (2017-2022)
  • Table 62. South Korea AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 63. South Korea AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 64. Taiwan AI in Healthcare, by Type USD Million (2017-2022)
  • Table 65. Taiwan AI in Healthcare, by Application USD Million (2017-2022)
  • Table 66. Taiwan AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 67. Taiwan AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 68. Australia AI in Healthcare, by Type USD Million (2017-2022)
  • Table 69. Australia AI in Healthcare, by Application USD Million (2017-2022)
  • Table 70. Australia AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 71. Australia AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 72. Rest of Asia-Pacific AI in Healthcare, by Type USD Million (2017-2022)
  • Table 73. Rest of Asia-Pacific AI in Healthcare, by Application USD Million (2017-2022)
  • Table 74. Rest of Asia-Pacific AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 75. Rest of Asia-Pacific AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 76. Europe AI in Healthcare, by Country USD Million (2017-2022)
  • Table 77. Europe AI in Healthcare, by Type USD Million (2017-2022)
  • Table 78. Europe AI in Healthcare, by Application USD Million (2017-2022)
  • Table 79. Europe AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 80. Europe AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 81. Germany AI in Healthcare, by Type USD Million (2017-2022)
  • Table 82. Germany AI in Healthcare, by Application USD Million (2017-2022)
  • Table 83. Germany AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 84. Germany AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 85. France AI in Healthcare, by Type USD Million (2017-2022)
  • Table 86. France AI in Healthcare, by Application USD Million (2017-2022)
  • Table 87. France AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 88. France AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 89. Italy AI in Healthcare, by Type USD Million (2017-2022)
  • Table 90. Italy AI in Healthcare, by Application USD Million (2017-2022)
  • Table 91. Italy AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 92. Italy AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 93. United Kingdom AI in Healthcare, by Type USD Million (2017-2022)
  • Table 94. United Kingdom AI in Healthcare, by Application USD Million (2017-2022)
  • Table 95. United Kingdom AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 96. United Kingdom AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 97. Netherlands AI in Healthcare, by Type USD Million (2017-2022)
  • Table 98. Netherlands AI in Healthcare, by Application USD Million (2017-2022)
  • Table 99. Netherlands AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 100. Netherlands AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 101. Rest of Europe AI in Healthcare, by Type USD Million (2017-2022)
  • Table 102. Rest of Europe AI in Healthcare, by Application USD Million (2017-2022)
  • Table 103. Rest of Europe AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 104. Rest of Europe AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 105. MEA AI in Healthcare, by Country USD Million (2017-2022)
  • Table 106. MEA AI in Healthcare, by Type USD Million (2017-2022)
  • Table 107. MEA AI in Healthcare, by Application USD Million (2017-2022)
  • Table 108. MEA AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 109. MEA AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 110. Middle East AI in Healthcare, by Type USD Million (2017-2022)
  • Table 111. Middle East AI in Healthcare, by Application USD Million (2017-2022)
  • Table 112. Middle East AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 113. Middle East AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 114. Africa AI in Healthcare, by Type USD Million (2017-2022)
  • Table 115. Africa AI in Healthcare, by Application USD Million (2017-2022)
  • Table 116. Africa AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 117. Africa AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 118. North America AI in Healthcare, by Country USD Million (2017-2022)
  • Table 119. North America AI in Healthcare, by Type USD Million (2017-2022)
  • Table 120. North America AI in Healthcare, by Application USD Million (2017-2022)
  • Table 121. North America AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 122. North America AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 123. United States AI in Healthcare, by Type USD Million (2017-2022)
  • Table 124. United States AI in Healthcare, by Application USD Million (2017-2022)
  • Table 125. United States AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 126. United States AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 127. Canada AI in Healthcare, by Type USD Million (2017-2022)
  • Table 128. Canada AI in Healthcare, by Application USD Million (2017-2022)
  • Table 129. Canada AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 130. Canada AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 131. Mexico AI in Healthcare, by Type USD Million (2017-2022)
  • Table 132. Mexico AI in Healthcare, by Application USD Million (2017-2022)
  • Table 133. Mexico AI in Healthcare, by End Users USD Million (2017-2022)
  • Table 134. Mexico AI in Healthcare, by Technology USD Million (2017-2022)
  • Table 135. AI in Healthcare: by Type(USD/Units)
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 147. Company Basic Information, Sales Area and Its Competitors
  • Table 148. Company Basic Information, Sales Area and Its Competitors
  • Table 149. Company Basic Information, Sales Area and Its Competitors
  • Table 150. Company Basic Information, Sales Area and Its Competitors
  • Table 151. Company Basic Information, Sales Area and Its Competitors
  • Table 152. Company Basic Information, Sales Area and Its Competitors
  • Table 153. Company Basic Information, Sales Area and Its Competitors
  • Table 154. Company Basic Information, Sales Area and Its Competitors
  • Table 155. Company Basic Information, Sales Area and Its Competitors
  • Table 156. Company Basic Information, Sales Area and Its Competitors
  • Table 157. AI in Healthcare: by Type(USD Million)
  • Table 158. AI in Healthcare Hardware , by Region USD Million (2023-2028)
  • Table 159. AI in Healthcare Software , by Region USD Million (2023-2028)
  • Table 160. AI in Healthcare Services , by Region USD Million (2023-2028)
  • Table 161. AI in Healthcare: by Application(USD Million)
  • Table 162. AI in Healthcare Drug discovery , by Region USD Million (2023-2028)
  • Table 163. AI in Healthcare Inpatient care & hospital management , by Region USD Million (2023-2028)
  • Table 164. AI in Healthcare Lifestyle management & monitoring , by Region USD Million (2023-2028)
  • Table 165. AI in Healthcare Medical imaging & diagnostics , by Region USD Million (2023-2028)
  • Table 166. AI in Healthcare Patient data & risk analysis , by Region USD Million (2023-2028)
  • Table 167. AI in Healthcare Precision medicine , by Region USD Million (2023-2028)
  • Table 168. AI in Healthcare Research , by Region USD Million (2023-2028)
  • Table 169. AI in Healthcare Virtual assistant , by Region USD Million (2023-2028)
  • Table 170. AI in Healthcare Wearables , by Region USD Million (2023-2028)
  • Table 171. AI in Healthcare: by End Users(USD Million)
  • Table 172. AI in Healthcare ACOS & MCOS , by Region USD Million (2023-2028)
  • Table 173. AI in Healthcare Patients , by Region USD Million (2023-2028)
  • Table 174. AI in Healthcare Payers , by Region USD Million (2023-2028)
  • Table 175. AI in Healthcare Pharmaceutical & biotechnology companies , by Region USD Million (2023-2028)
  • Table 176. AI in Healthcare Providers , by Region USD Million (2023-2028)
  • Table 177. AI in Healthcare: by Technology(USD Million)
  • Table 178. AI in Healthcare Context-aware processing , by Region USD Million (2023-2028)
  • Table 179. AI in Healthcare Deep learning , by Region USD Million (2023-2028)
  • Table 180. AI in Healthcare Natural language processing , by Region USD Million (2023-2028)
  • Table 181. AI in Healthcare Querying method , by Region USD Million (2023-2028)
  • Table 182. South America AI in Healthcare, by Country USD Million (2023-2028)
  • Table 183. South America AI in Healthcare, by Type USD Million (2023-2028)
  • Table 184. South America AI in Healthcare, by Application USD Million (2023-2028)
  • Table 185. South America AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 186. South America AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 187. Brazil AI in Healthcare, by Type USD Million (2023-2028)
  • Table 188. Brazil AI in Healthcare, by Application USD Million (2023-2028)
  • Table 189. Brazil AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 190. Brazil AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 191. Argentina AI in Healthcare, by Type USD Million (2023-2028)
  • Table 192. Argentina AI in Healthcare, by Application USD Million (2023-2028)
  • Table 193. Argentina AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 194. Argentina AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 195. Rest of South America AI in Healthcare, by Type USD Million (2023-2028)
  • Table 196. Rest of South America AI in Healthcare, by Application USD Million (2023-2028)
  • Table 197. Rest of South America AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 198. Rest of South America AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 199. Asia Pacific AI in Healthcare, by Country USD Million (2023-2028)
  • Table 200. Asia Pacific AI in Healthcare, by Type USD Million (2023-2028)
  • Table 201. Asia Pacific AI in Healthcare, by Application USD Million (2023-2028)
  • Table 202. Asia Pacific AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 203. Asia Pacific AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 204. China AI in Healthcare, by Type USD Million (2023-2028)
  • Table 205. China AI in Healthcare, by Application USD Million (2023-2028)
  • Table 206. China AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 207. China AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 208. Japan AI in Healthcare, by Type USD Million (2023-2028)
  • Table 209. Japan AI in Healthcare, by Application USD Million (2023-2028)
  • Table 210. Japan AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 211. Japan AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 212. India AI in Healthcare, by Type USD Million (2023-2028)
  • Table 213. India AI in Healthcare, by Application USD Million (2023-2028)
  • Table 214. India AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 215. India AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 216. South Korea AI in Healthcare, by Type USD Million (2023-2028)
  • Table 217. South Korea AI in Healthcare, by Application USD Million (2023-2028)
  • Table 218. South Korea AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 219. South Korea AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 220. Taiwan AI in Healthcare, by Type USD Million (2023-2028)
  • Table 221. Taiwan AI in Healthcare, by Application USD Million (2023-2028)
  • Table 222. Taiwan AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 223. Taiwan AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 224. Australia AI in Healthcare, by Type USD Million (2023-2028)
  • Table 225. Australia AI in Healthcare, by Application USD Million (2023-2028)
  • Table 226. Australia AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 227. Australia AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 228. Rest of Asia-Pacific AI in Healthcare, by Type USD Million (2023-2028)
  • Table 229. Rest of Asia-Pacific AI in Healthcare, by Application USD Million (2023-2028)
  • Table 230. Rest of Asia-Pacific AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 231. Rest of Asia-Pacific AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 232. Europe AI in Healthcare, by Country USD Million (2023-2028)
  • Table 233. Europe AI in Healthcare, by Type USD Million (2023-2028)
  • Table 234. Europe AI in Healthcare, by Application USD Million (2023-2028)
  • Table 235. Europe AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 236. Europe AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 237. Germany AI in Healthcare, by Type USD Million (2023-2028)
  • Table 238. Germany AI in Healthcare, by Application USD Million (2023-2028)
  • Table 239. Germany AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 240. Germany AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 241. France AI in Healthcare, by Type USD Million (2023-2028)
  • Table 242. France AI in Healthcare, by Application USD Million (2023-2028)
  • Table 243. France AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 244. France AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 245. Italy AI in Healthcare, by Type USD Million (2023-2028)
  • Table 246. Italy AI in Healthcare, by Application USD Million (2023-2028)
  • Table 247. Italy AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 248. Italy AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 249. United Kingdom AI in Healthcare, by Type USD Million (2023-2028)
  • Table 250. United Kingdom AI in Healthcare, by Application USD Million (2023-2028)
  • Table 251. United Kingdom AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 252. United Kingdom AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 253. Netherlands AI in Healthcare, by Type USD Million (2023-2028)
  • Table 254. Netherlands AI in Healthcare, by Application USD Million (2023-2028)
  • Table 255. Netherlands AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 256. Netherlands AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 257. Rest of Europe AI in Healthcare, by Type USD Million (2023-2028)
  • Table 258. Rest of Europe AI in Healthcare, by Application USD Million (2023-2028)
  • Table 259. Rest of Europe AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 260. Rest of Europe AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 261. MEA AI in Healthcare, by Country USD Million (2023-2028)
  • Table 262. MEA AI in Healthcare, by Type USD Million (2023-2028)
  • Table 263. MEA AI in Healthcare, by Application USD Million (2023-2028)
  • Table 264. MEA AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 265. MEA AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 266. Middle East AI in Healthcare, by Type USD Million (2023-2028)
  • Table 267. Middle East AI in Healthcare, by Application USD Million (2023-2028)
  • Table 268. Middle East AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 269. Middle East AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 270. Africa AI in Healthcare, by Type USD Million (2023-2028)
  • Table 271. Africa AI in Healthcare, by Application USD Million (2023-2028)
  • Table 272. Africa AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 273. Africa AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 274. North America AI in Healthcare, by Country USD Million (2023-2028)
  • Table 275. North America AI in Healthcare, by Type USD Million (2023-2028)
  • Table 276. North America AI in Healthcare, by Application USD Million (2023-2028)
  • Table 277. North America AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 278. North America AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 279. United States AI in Healthcare, by Type USD Million (2023-2028)
  • Table 280. United States AI in Healthcare, by Application USD Million (2023-2028)
  • Table 281. United States AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 282. United States AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 283. Canada AI in Healthcare, by Type USD Million (2023-2028)
  • Table 284. Canada AI in Healthcare, by Application USD Million (2023-2028)
  • Table 285. Canada AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 286. Canada AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 287. Mexico AI in Healthcare, by Type USD Million (2023-2028)
  • Table 288. Mexico AI in Healthcare, by Application USD Million (2023-2028)
  • Table 289. Mexico AI in Healthcare, by End Users USD Million (2023-2028)
  • Table 290. Mexico AI in Healthcare, by Technology USD Million (2023-2028)
  • Table 291. AI in Healthcare: by Type(USD/Units)
  • Table 292. Research Programs/Design for This Report
  • Table 293. Key Data Information from Secondary Sources
  • Table 294. 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 Healthcare: by Type USD Million (2017-2022)
  • Figure 5. Global AI in Healthcare: by Application USD Million (2017-2022)
  • Figure 6. Global AI in Healthcare: by End Users USD Million (2017-2022)
  • Figure 7. Global AI in Healthcare: by Technology USD Million (2017-2022)
  • Figure 8. South America AI in Healthcare Share (%), by Country
  • Figure 9. Asia Pacific AI in Healthcare Share (%), by Country
  • Figure 10. Europe AI in Healthcare Share (%), by Country
  • Figure 11. MEA AI in Healthcare Share (%), by Country
  • Figure 12. North America AI in Healthcare Share (%), by Country
  • Figure 13. Global AI in Healthcare: by Type USD/Units (2017-2022)
  • Figure 14. Global AI in Healthcare share by Players 2022 (%)
  • Figure 15. Global AI in Healthcare share by Players (Top 3) 2022(%)
  • Figure 16. Global AI in Healthcare share by Players (Top 5) 2022(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. NVIDIA [United States] Revenue, Net Income and Gross profit
  • Figure 19. NVIDIA [United States] Revenue: by Geography 2022
  • Figure 20. Google [United States] Revenue, Net Income and Gross profit
  • Figure 21. Google [United States] Revenue: by Geography 2022
  • Figure 22. IBM [United States] Revenue, Net Income and Gross profit
  • Figure 23. IBM [United States] Revenue: by Geography 2022
  • Figure 24. Microsoft [United States] Revenue, Net Income and Gross profit
  • Figure 25. Microsoft [United States] Revenue: by Geography 2022
  • Figure 26. General Vision [ United States] Revenue, Net Income and Gross profit
  • Figure 27. General Vision [ United States] Revenue: by Geography 2022
  • Figure 28. Enlitic [United States] Revenue, Net Income and Gross profit
  • Figure 29. Enlitic [United States] Revenue: by Geography 2022
  • Figure 30. Next IT [United States] Revenue, Net Income and Gross profit
  • Figure 31. Next IT [United States] Revenue: by Geography 2022
  • Figure 32. Welltok [United States] Revenue, Net Income and Gross profit
  • Figure 33. Welltok [United States] Revenue: by Geography 2022
  • Figure 34. ICarbonX [China] Revenue, Net Income and Gross profit
  • Figure 35. ICarbonX [China] Revenue: by Geography 2022
  • Figure 36. Recursion Pharmaceuticals [United Sttaes] Revenue, Net Income and Gross profit
  • Figure 37. Recursion Pharmaceuticals [United Sttaes] Revenue: by Geography 2022
  • Figure 38. GE [United States] Revenue, Net Income and Gross profit
  • Figure 39. GE [United States] Revenue: by Geography 2022
  • Figure 40. Siemens [ Germany] Revenue, Net Income and Gross profit
  • Figure 41. Siemens [ Germany] Revenue: by Geography 2022
  • Figure 42. Johnson & Johnson [United States] Revenue, Net Income and Gross profit
  • Figure 43. Johnson & Johnson [United States] Revenue: by Geography 2022
  • Figure 44. Medtronic [Ireland] Revenue, Net Income and Gross profit
  • Figure 45. Medtronic [Ireland] Revenue: by Geography 2022
  • Figure 46. Careskore [United States] Revenue, Net Income and Gross profit
  • Figure 47. Careskore [United States] Revenue: by Geography 2022
  • Figure 48. Zephyr Health [United States] Revenue, Net Income and Gross profit
  • Figure 49. Zephyr Health [United States] Revenue: by Geography 2022
  • Figure 50. Oncora Medical [United States] Revenue, Net Income and Gross profit
  • Figure 51. Oncora Medical [United States] Revenue: by Geography 2022
  • Figure 52. Sentrian [Australia] Revenue, Net Income and Gross profit
  • Figure 53. Sentrian [Australia] Revenue: by Geography 2022
  • Figure 54. Bay Labs [United States] Revenue, Net Income and Gross profit
  • Figure 55. Bay Labs [United States] Revenue: by Geography 2022
  • Figure 56. Deep Genomics [Canada] Revenue, Net Income and Gross profit
  • Figure 57. Deep Genomics [Canada] Revenue: by Geography 2022
  • Figure 58. Cloudmedx [united States] Revenue, Net Income and Gross profit
  • Figure 59. Cloudmedx [united States] Revenue: by Geography 2022
  • Figure 60. Global AI in Healthcare: by Type USD Million (2023-2028)
  • Figure 61. Global AI in Healthcare: by Application USD Million (2023-2028)
  • Figure 62. Global AI in Healthcare: by End Users USD Million (2023-2028)
  • Figure 63. Global AI in Healthcare: by Technology USD Million (2023-2028)
  • Figure 64. South America AI in Healthcare Share (%), by Country
  • Figure 65. Asia Pacific AI in Healthcare Share (%), by Country
  • Figure 66. Europe AI in Healthcare Share (%), by Country
  • Figure 67. MEA AI in Healthcare Share (%), by Country
  • Figure 68. North America AI in Healthcare Share (%), by Country
  • Figure 69. Global AI in Healthcare: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • NVIDIA [United States]
  • Google [United States]
  • IBM [United States]
  • Microsoft [United States]
  • General Vision [ United States]
  • Enlitic [United States]
  • Next IT [United States]
  • Welltok [United States]
  • ICarbonX [China]
  • Recursion Pharmaceuticals [United Sttaes]
  • GE [United States]
  • Siemens [ Germany]
  • Johnson & Johnson [United States]
  • Medtronic [Ireland]
  • Careskore [United States]
  • Zephyr Health [United States]
  • Oncora Medical [United States]
  • Sentrian [Australia]
  • Bay Labs [United States]
  • Deep Genomics [Canada]
  • Cloudmedx [united States]
Additional players considered in the study are as follows:
Intel [United States] , AWS [United States]. , Imagia Cybernetics [Canada] , Precision Health AI [United States] , Cloud Pharmaceuticals [United States]
Select User Access Type

Key Highlights of Report


May 2023 224 Pages 53 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

Request Sample Pages

Budget constraints? Get in touch with us for special pricing


Check Discount Now
Global AI in Healthcare Market Quantitative research analysis
Global AI in Healthcare Market Qualitative Industry Analysis
DOWNLOAD SAMPLE PDF

Talk to Our Experts

Want to Customize Study?


"We employ Market statistics, Industry benchmarking, Patent analysis, and Technological Insights to derive requirements and provide customize scope of work."

Make an Enquiry Now

Frequently Asked Questions (FAQ):

The key segments that are playing vital role in AI in Healthcare Market are by type [Hardware, Software and Services], by end use application [Drug discovery, Inpatient care & hospital management, Lifestyle management & monitoring, Medical imaging & diagnostics, Patient data & risk analysis, Precision medicine, Research, Virtual assistant and Wearables].
The AI in Healthcare Market is gaining popularity and expected to see strong valuation by 2028.
  • Growing Need for Cost Effective Healthcare Solution
  • Growing Complex and Large Data Set

Know More About Global AI in Healthcare Market Report?

Have a Query? Click Here

Other Related Reports

Continuous Renal Replacement Therapy Comprehensive Study by Type (Dialysis System, Consumables), Application (Hospitals, Dialysis Clinics), Therapy (Renal care, Non-renal care), Mode (Continuous Veno...
$ 3750
Swine Healthcare Comprehensive Study by Application (Livestock, House, Others), Diagnostic Tests (Enzyme Linked Immuno-Sorbent Assay (ELISA), Rapid Immuno Migration (RIM), Agar Gel Immuno-Diffusion (...
$ 3750
Surgical Navigation Systems Comprehensive Study by Type (Optical Surgical Navigation Systems, Electromagnetic Surgical Navigation Systems, Others), Application (Neurosurgery Surgery , Spinal Surgery,...
$ 3650
Vitamin B12 Comprehensive Study by Application (Food Industry, Nutraceuticals, Pharmaceutical, Dietary Supplements, Others), Form (Syrups, Injection, Tablets, Powder, Nasal Spray, Others), Distributi...
$ 3800
Biomaterial Implants Comprehensive Study by Type (Cardiovascular, Dental, Orthopedic, Wound Healing, Plastic Surgery, Ophthalmology, Tissue Engineering, Neurological Disorders, Drug-Delivery Systems)...
$ 3650
Critical Care Services Comprehensive Study by Application (Intensive Care Units, Neonatal Intensive Care Units, Pediatric Intensive Care Units, Coronary Care Units), Critical care equipment (Ventilat...
$ 3750