Global Ai in Hospital Management Market
Global Ai in Hospital Management Market

Ai in Hospital Management Comprehensive Study by Application (Administrative Workflows, Image Analysis, Robotic Surgery, Virtual Assistants, Clinical Decision Support, Others), Category (Patient-oriented AI, Clinician-oriented AI, Administrative- and operational-oriented AI), Technology (Machine Learning, Natural Language Processing, Rule-Based Expert Systems, Assisted or Automated Diagnosis & Prescription), Type of Operation (Clinical, Non-Clinical, By, By) Players and Region - Global Market Outlook to 2026

Ai in Hospital Management Market Segmented into XX Submarkets. | Forecast Years: 2021- 2026  

Dec 2021 Edition 243 Pages 218 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Global Ai in Hospital Management Market Overview:
Healthcare management systems assist hospitals, clinics, and other medical practises in running all of their administrative processes. This includes scheduling, admissions, electronic medical records (EMR), accounting, payroll, medical billing, claim submission, and meeting high security and technical standards. Artificial intelligence (AI) technologies are making inroads into healthcare, as they become more common in modern business and daily life. Artificial intelligence has the potential to assist healthcare providers with a wide range of duties, including patient care and administrative tasks. Although the bulk of AI and healthcare technologies have a strong link to the healthcare industry, the tactics they assist can differ significantly. In healthcare, deep learning-based artificial intelligence is also employed for speech recognition via natural language processing (NLP).

Growth Drivers
  • Increasing Efficiency Improvements and Reducing Risks in Hospital Operations
  • Rapid Adoption of AI Technology in Genomics

Roadblocks
  • AI Integration and Implementation Issues

Opportunities
  • Growing Usage of AI and ML Solutions in Healthcare Sector
  • Rise in Demand for AI in Drug Discovery and Medical Imaging

Challenges
  • High Cost of AI Solutions
  • Risk of Data Theft Could Hamper the Market Growth


Competitive Landscape:
The demand for Ai in Hospital Management is increasing. The industry is segmented, but it is predicted to grow as rise in Ai Technology such as Machine Learning and NLP, among other factors, drive the market forward. Businesses in this sector face global competition from market leaders who control a large share of the market. Companies are differentiating their products from competition by employing environmentally friendly materials and manufacturing techniques. The Leading Players are engaging in strategic global expansion to maintain their Market Position.
Some of the key players profiled in the report are Microsoft Corporation (United States), Google (United States), Intel Health (United States), IBM Watson Health (United States), IQVIA (United States), Deloitte (United States), Optum (United States), Babylon Health (United Kingdom), Kellton Tech (India) and Happiest Minds Technologies (India). Additionally, following companies can also be profiled that are part of our coverage like PathAI, Inc. (United States), Buoy Health, Inc. (United States) and Nano X Imaging (Israel). Analyst at AMA Research see United States Players to retain maximum share of Global Ai in Hospital Management market by 2026. Considering Market by Category, the sub-segment i.e. Patient-oriented AI will boost the Ai in Hospital Management market. Considering Market by Technology, the sub-segment i.e. Machine Learning will boost the Ai in Hospital Management market. Considering Market by Type of Operation, the sub-segment i.e. Clinical will boost the Ai in Hospital Management market.

In February 2021 IBM announced collaboration with Humana. Humana will be able to employ IBM Watson Assistant for Health Benefits, an AI-enabled virtual agent produced in the IBM Watson Health cloud, as a result of this cooperation. At first, the service will be available to all 1.3 million Employer Group medical members and 1.8 million Employer Group dental members.

What Can be Explored with the Ai in Hospital Management Market Study
 Gain Market Understanding
 Identify Growth Opportunities
 Analyze and Measure the Global Ai in Hospital Management Market by Identifying Investment across various Industry Verticals
 Understand the Trends that will drive Future Changes in Ai in Hospital Management
 Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Ai in Hospital Management market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Ai in Hospital Management market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Venture and Capitalist, New entrants/investors, Analysts and Strategic Business Partners, Clinics, Hospitals and End-use industries.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.

Frequently Asked Questions (FAQ):

1. What is the growth rate predicted for the Global Ai in Hospital Management Market?
The Ai in Hospital Management market is expected to see a CAGR of % during projected year 2020 to 2026.

2. Who are the top performing companies in Ai in Hospital Management Market?
Top performing companies in the Global Ai in Hospital Management market are Microsoft Corporation (United States), Google (United States), Intel Health (United States), IBM Watson Health (United States), IQVIA (United States), Deloitte (United States), Optum (United States), Babylon Health (United Kingdom), Kellton Tech (India) and Happiest Minds Technologies (India), to name a few.

3. What trending factors would impact Ai in Hospital Management Market growth most?
"Technological Advancements of AI Neural Network in Healthcare Biometrics " is seen as one of major influencing trends for Ai in Hospital Management Market during projected period 2020-2026.

Report Objectives / Segmentation Covered
By Application
  • Administrative Workflows
  • Image Analysis
  • Robotic Surgery
  • Virtual Assistants
  • Clinical Decision Support
  • Others
By Category
  • Patient-oriented AI
  • Clinician-oriented AI
  • Administrative- and operational-oriented AI

By Technology
  • Machine Learning
  • Natural Language Processing
  • Rule-Based Expert Systems
  • Assisted or Automated Diagnosis & Prescription

By Type of Operation
  • Clinical
  • Non-Clinical
  • By
  • By

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • 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 Efficiency Improvements and Reducing Risks in Hospital Operations
      • 3.2.2. Rapid Adoption of AI Technology in Genomics
    • 3.3. Market Challenges
      • 3.3.1. High Cost of AI Solutions
      • 3.3.2. Risk of Data Theft Could Hamper the Market Growth
    • 3.4. Market Trends
      • 3.4.1. Technological Advancements of AI Neural Network in Healthcare Biometrics
      • 3.4.2. Rapid Development of Cybernetics in Healthcare
  • 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 Hospital Management, by Application, Category, Technology, Type of Operation and Region (value and price ) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Ai in Hospital Management (Value)
      • 5.2.1. Global Ai in Hospital Management by: Application (Value)
        • 5.2.1.1. Administrative Workflows
        • 5.2.1.2. Image Analysis
        • 5.2.1.3. Robotic Surgery
        • 5.2.1.4. Virtual Assistants
        • 5.2.1.5. Clinical Decision Support
        • 5.2.1.6. Others
      • 5.2.2. Global Ai in Hospital Management by: Category (Value)
        • 5.2.2.1. Patient-oriented AI
        • 5.2.2.2. Clinician-oriented AI
        • 5.2.2.3. Administrative- and operational-oriented AI
      • 5.2.3. Global Ai in Hospital Management by: Technology (Value)
        • 5.2.3.1. Machine Learning
        • 5.2.3.2. Natural Language Processing
        • 5.2.3.3. Rule-Based Expert Systems
        • 5.2.3.4. Assisted or Automated Diagnosis & Prescription
      • 5.2.4. Global Ai in Hospital Management by: Type of Operation (Value)
        • 5.2.4.1. Clinical
        • 5.2.4.2. Non-Clinical
        • 5.2.4.3. By
        • 5.2.4.4. By
      • 5.2.5. Global Ai in Hospital Management 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. Australia
          • 5.2.5.2.6. 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 Hospital Management (Price)
  • 6. Ai in Hospital Management: 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 (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Microsoft Corporation (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. 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. Intel Health (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. IBM Watson Health (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. IQVIA (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. Deloitte (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. Optum (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. Babylon Health (United Kingdom)
        • 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. Kellton Tech (India)
        • 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. Happiest Minds Technologies (India)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Ai in Hospital Management Sale, by Application, Category, Technology, Type of Operation and Region (value and price ) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Ai in Hospital Management (Value)
      • 7.2.1. Global Ai in Hospital Management by: Application (Value)
        • 7.2.1.1. Administrative Workflows
        • 7.2.1.2. Image Analysis
        • 7.2.1.3. Robotic Surgery
        • 7.2.1.4. Virtual Assistants
        • 7.2.1.5. Clinical Decision Support
        • 7.2.1.6. Others
      • 7.2.2. Global Ai in Hospital Management by: Category (Value)
        • 7.2.2.1. Patient-oriented AI
        • 7.2.2.2. Clinician-oriented AI
        • 7.2.2.3. Administrative- and operational-oriented AI
      • 7.2.3. Global Ai in Hospital Management by: Technology (Value)
        • 7.2.3.1. Machine Learning
        • 7.2.3.2. Natural Language Processing
        • 7.2.3.3. Rule-Based Expert Systems
        • 7.2.3.4. Assisted or Automated Diagnosis & Prescription
      • 7.2.4. Global Ai in Hospital Management by: Type of Operation (Value)
        • 7.2.4.1. Clinical
        • 7.2.4.2. Non-Clinical
        • 7.2.4.3. By
        • 7.2.4.4. By
      • 7.2.5. Global Ai in Hospital Management 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. Australia
          • 7.2.5.2.6. 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 Hospital Management (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 Hospital Management: by Application(USD Million)
  • Table 2. Ai in Hospital Management Administrative Workflows , by Region USD Million (2015-2020)
  • Table 3. Ai in Hospital Management Image Analysis , by Region USD Million (2015-2020)
  • Table 4. Ai in Hospital Management Robotic Surgery , by Region USD Million (2015-2020)
  • Table 5. Ai in Hospital Management Virtual Assistants , by Region USD Million (2015-2020)
  • Table 6. Ai in Hospital Management Clinical Decision Support , by Region USD Million (2015-2020)
  • Table 7. Ai in Hospital Management Others , by Region USD Million (2015-2020)
  • Table 8. Ai in Hospital Management: by Category(USD Million)
  • Table 9. Ai in Hospital Management Patient-oriented AI , by Region USD Million (2015-2020)
  • Table 10. Ai in Hospital Management Clinician-oriented AI , by Region USD Million (2015-2020)
  • Table 11. Ai in Hospital Management Administrative- and operational-oriented AI , by Region USD Million (2015-2020)
  • Table 12. Ai in Hospital Management: by Technology(USD Million)
  • Table 13. Ai in Hospital Management Machine Learning , by Region USD Million (2015-2020)
  • Table 14. Ai in Hospital Management Natural Language Processing , by Region USD Million (2015-2020)
  • Table 15. Ai in Hospital Management Rule-Based Expert Systems , by Region USD Million (2015-2020)
  • Table 16. Ai in Hospital Management Assisted or Automated Diagnosis & Prescription , by Region USD Million (2015-2020)
  • Table 17. Ai in Hospital Management: by Type of Operation(USD Million)
  • Table 18. Ai in Hospital Management Clinical , by Region USD Million (2015-2020)
  • Table 19. Ai in Hospital Management Non-Clinical , by Region USD Million (2015-2020)
  • Table 20. Ai in Hospital Management By , by Region USD Million (2015-2020)
  • Table 21. Ai in Hospital Management By , by Region USD Million (2015-2020)
  • Table 22. South America Ai in Hospital Management, by Country USD Million (2015-2020)
  • Table 23. South America Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 24. South America Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 25. South America Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 26. South America Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 27. Brazil Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 28. Brazil Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 29. Brazil Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 30. Brazil Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 31. Argentina Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 32. Argentina Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 33. Argentina Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 34. Argentina Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 35. Rest of South America Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 36. Rest of South America Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 37. Rest of South America Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 38. Rest of South America Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 39. Asia Pacific Ai in Hospital Management, by Country USD Million (2015-2020)
  • Table 40. Asia Pacific Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 41. Asia Pacific Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 42. Asia Pacific Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 43. Asia Pacific Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 44. China Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 45. China Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 46. China Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 47. China Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 48. Japan Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 49. Japan Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 50. Japan Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 51. Japan Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 52. India Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 53. India Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 54. India Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 55. India Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 56. South Korea Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 57. South Korea Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 58. South Korea Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 59. South Korea Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 60. Australia Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 61. Australia Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 62. Australia Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 63. Australia Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 64. Rest of Asia-Pacific Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 65. Rest of Asia-Pacific Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 66. Rest of Asia-Pacific Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 67. Rest of Asia-Pacific Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 68. Europe Ai in Hospital Management, by Country USD Million (2015-2020)
  • Table 69. Europe Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 70. Europe Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 71. Europe Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 72. Europe Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 73. Germany Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 74. Germany Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 75. Germany Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 76. Germany Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 77. France Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 78. France Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 79. France Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 80. France Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 81. Italy Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 82. Italy Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 83. Italy Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 84. Italy Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 85. United Kingdom Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 86. United Kingdom Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 87. United Kingdom Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 88. United Kingdom Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 89. Netherlands Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 90. Netherlands Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 91. Netherlands Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 92. Netherlands Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 93. Rest of Europe Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 94. Rest of Europe Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 95. Rest of Europe Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 96. Rest of Europe Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 97. MEA Ai in Hospital Management, by Country USD Million (2015-2020)
  • Table 98. MEA Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 99. MEA Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 100. MEA Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 101. MEA Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 102. Middle East Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 103. Middle East Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 104. Middle East Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 105. Middle East Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 106. Africa Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 107. Africa Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 108. Africa Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 109. Africa Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 110. North America Ai in Hospital Management, by Country USD Million (2015-2020)
  • Table 111. North America Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 112. North America Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 113. North America Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 114. North America Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 115. United States Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 116. United States Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 117. United States Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 118. United States Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 119. Canada Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 120. Canada Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 121. Canada Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 122. Canada Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 123. Mexico Ai in Hospital Management, by Application USD Million (2015-2020)
  • Table 124. Mexico Ai in Hospital Management, by Category USD Million (2015-2020)
  • Table 125. Mexico Ai in Hospital Management, by Technology USD Million (2015-2020)
  • Table 126. Mexico Ai in Hospital Management, by Type of Operation USD Million (2015-2020)
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • 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. Ai in Hospital Management: by Application(USD Million)
  • Table 138. Ai in Hospital Management Administrative Workflows , by Region USD Million (2021-2026)
  • Table 139. Ai in Hospital Management Image Analysis , by Region USD Million (2021-2026)
  • Table 140. Ai in Hospital Management Robotic Surgery , by Region USD Million (2021-2026)
  • Table 141. Ai in Hospital Management Virtual Assistants , by Region USD Million (2021-2026)
  • Table 142. Ai in Hospital Management Clinical Decision Support , by Region USD Million (2021-2026)
  • Table 143. Ai in Hospital Management Others , by Region USD Million (2021-2026)
  • Table 144. Ai in Hospital Management: by Category(USD Million)
  • Table 145. Ai in Hospital Management Patient-oriented AI , by Region USD Million (2021-2026)
  • Table 146. Ai in Hospital Management Clinician-oriented AI , by Region USD Million (2021-2026)
  • Table 147. Ai in Hospital Management Administrative- and operational-oriented AI , by Region USD Million (2021-2026)
  • Table 148. Ai in Hospital Management: by Technology(USD Million)
  • Table 149. Ai in Hospital Management Machine Learning , by Region USD Million (2021-2026)
  • Table 150. Ai in Hospital Management Natural Language Processing , by Region USD Million (2021-2026)
  • Table 151. Ai in Hospital Management Rule-Based Expert Systems , by Region USD Million (2021-2026)
  • Table 152. Ai in Hospital Management Assisted or Automated Diagnosis & Prescription , by Region USD Million (2021-2026)
  • Table 153. Ai in Hospital Management: by Type of Operation(USD Million)
  • Table 154. Ai in Hospital Management Clinical , by Region USD Million (2021-2026)
  • Table 155. Ai in Hospital Management Non-Clinical , by Region USD Million (2021-2026)
  • Table 156. Ai in Hospital Management By , by Region USD Million (2021-2026)
  • Table 157. Ai in Hospital Management By , by Region USD Million (2021-2026)
  • Table 158. South America Ai in Hospital Management, by Country USD Million (2021-2026)
  • Table 159. South America Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 160. South America Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 161. South America Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 162. South America Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 163. Brazil Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 164. Brazil Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 165. Brazil Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 166. Brazil Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 167. Argentina Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 168. Argentina Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 169. Argentina Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 170. Argentina Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 171. Rest of South America Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 172. Rest of South America Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 173. Rest of South America Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 174. Rest of South America Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 175. Asia Pacific Ai in Hospital Management, by Country USD Million (2021-2026)
  • Table 176. Asia Pacific Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 177. Asia Pacific Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 178. Asia Pacific Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 179. Asia Pacific Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 180. China Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 181. China Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 182. China Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 183. China Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 184. Japan Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 185. Japan Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 186. Japan Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 187. Japan Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 188. India Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 189. India Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 190. India Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 191. India Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 192. South Korea Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 193. South Korea Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 194. South Korea Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 195. South Korea Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 196. Australia Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 197. Australia Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 198. Australia Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 199. Australia Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 200. Rest of Asia-Pacific Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 201. Rest of Asia-Pacific Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 202. Rest of Asia-Pacific Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 203. Rest of Asia-Pacific Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 204. Europe Ai in Hospital Management, by Country USD Million (2021-2026)
  • Table 205. Europe Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 206. Europe Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 207. Europe Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 208. Europe Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 209. Germany Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 210. Germany Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 211. Germany Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 212. Germany Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 213. France Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 214. France Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 215. France Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 216. France Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 217. Italy Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 218. Italy Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 219. Italy Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 220. Italy Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 221. United Kingdom Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 222. United Kingdom Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 223. United Kingdom Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 224. United Kingdom Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 225. Netherlands Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 226. Netherlands Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 227. Netherlands Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 228. Netherlands Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 229. Rest of Europe Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 230. Rest of Europe Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 231. Rest of Europe Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 232. Rest of Europe Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 233. MEA Ai in Hospital Management, by Country USD Million (2021-2026)
  • Table 234. MEA Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 235. MEA Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 236. MEA Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 237. MEA Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 238. Middle East Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 239. Middle East Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 240. Middle East Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 241. Middle East Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 242. Africa Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 243. Africa Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 244. Africa Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 245. Africa Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 246. North America Ai in Hospital Management, by Country USD Million (2021-2026)
  • Table 247. North America Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 248. North America Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 249. North America Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 250. North America Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 251. United States Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 252. United States Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 253. United States Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 254. United States Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 255. Canada Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 256. Canada Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 257. Canada Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 258. Canada Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 259. Mexico Ai in Hospital Management, by Application USD Million (2021-2026)
  • Table 260. Mexico Ai in Hospital Management, by Category USD Million (2021-2026)
  • Table 261. Mexico Ai in Hospital Management, by Technology USD Million (2021-2026)
  • Table 262. Mexico Ai in Hospital Management, by Type of Operation USD Million (2021-2026)
  • Table 263. Research Programs/Design for This Report
  • Table 264. Key Data Information from Secondary Sources
  • Table 265. 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 Hospital Management: by Application USD Million (2015-2020)
  • Figure 5. Global Ai in Hospital Management: by Category USD Million (2015-2020)
  • Figure 6. Global Ai in Hospital Management: by Technology USD Million (2015-2020)
  • Figure 7. Global Ai in Hospital Management: by Type of Operation USD Million (2015-2020)
  • Figure 8. South America Ai in Hospital Management Share (%), by Country
  • Figure 9. Asia Pacific Ai in Hospital Management Share (%), by Country
  • Figure 10. Europe Ai in Hospital Management Share (%), by Country
  • Figure 11. MEA Ai in Hospital Management Share (%), by Country
  • Figure 12. North America Ai in Hospital Management Share (%), by Country
  • Figure 13. Global Ai in Hospital Management share by Players 2020 (%)
  • Figure 14. Global Ai in Hospital Management share by Players (Top 3) 2020(%)
  • Figure 15. Global Ai in Hospital Management share by Players (Top 5) 2020(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 18. Microsoft Corporation (United States) Revenue: by Geography 2020
  • Figure 19. Google (United States) Revenue, Net Income and Gross profit
  • Figure 20. Google (United States) Revenue: by Geography 2020
  • Figure 21. Intel Health (United States) Revenue, Net Income and Gross profit
  • Figure 22. Intel Health (United States) Revenue: by Geography 2020
  • Figure 23. IBM Watson Health (United States) Revenue, Net Income and Gross profit
  • Figure 24. IBM Watson Health (United States) Revenue: by Geography 2020
  • Figure 25. IQVIA (United States) Revenue, Net Income and Gross profit
  • Figure 26. IQVIA (United States) Revenue: by Geography 2020
  • Figure 27. Deloitte (United States) Revenue, Net Income and Gross profit
  • Figure 28. Deloitte (United States) Revenue: by Geography 2020
  • Figure 29. Optum (United States) Revenue, Net Income and Gross profit
  • Figure 30. Optum (United States) Revenue: by Geography 2020
  • Figure 31. Babylon Health (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 32. Babylon Health (United Kingdom) Revenue: by Geography 2020
  • Figure 33. Kellton Tech (India) Revenue, Net Income and Gross profit
  • Figure 34. Kellton Tech (India) Revenue: by Geography 2020
  • Figure 35. Happiest Minds Technologies (India) Revenue, Net Income and Gross profit
  • Figure 36. Happiest Minds Technologies (India) Revenue: by Geography 2020
  • Figure 37. Global Ai in Hospital Management: by Application USD Million (2021-2026)
  • Figure 38. Global Ai in Hospital Management: by Category USD Million (2021-2026)
  • Figure 39. Global Ai in Hospital Management: by Technology USD Million (2021-2026)
  • Figure 40. Global Ai in Hospital Management: by Type of Operation USD Million (2021-2026)
  • Figure 41. South America Ai in Hospital Management Share (%), by Country
  • Figure 42. Asia Pacific Ai in Hospital Management Share (%), by Country
  • Figure 43. Europe Ai in Hospital Management Share (%), by Country
  • Figure 44. MEA Ai in Hospital Management Share (%), by Country
  • Figure 45. North America Ai in Hospital Management Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Microsoft Corporation (United States)
  • Google (United States)
  • Intel Health (United States)
  • IBM Watson Health (United States)
  • IQVIA (United States)
  • Deloitte (United States)
  • Optum (United States)
  • Babylon Health (United Kingdom)
  • Kellton Tech (India)
  • Happiest Minds Technologies (India)
Additional players considered in the study are as follows:
PathAI, Inc. (United States) , Buoy Health, Inc. (United States) , Nano X Imaging (Israel)
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