Global IT Spending on Clinical Analytics

IT Spending on Clinical Analytics Comprehensive Study by Platform (Stand-alone, Integrated), Solutions (In-house (Hardware, Software, Services), Outsource), Deployment Type (Cloud-based, On-premise), End-User (Payer (Insurance Companies and Government), Provider (Hospital and Clinics)) Players and Region - Global Market Outlook to 2026

IT Spending on Clinical Analytics Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
IT Spending on Clinical Analytics Market Scope
IT spending on clinical analytics enables the implementation of value-based care. Healthcare providers can use this technology for data-driven decision-making that enables them to improve the efficiency of their decision-making process, removes costs that are preventable, and streamlines the entire system. Growing improvements in financial and clinical decision support management are also made possible by critical analysis of data generated by healthcare systems. North America will continue to dominate the market owing to the technologically advanced healthcare infrastructure, favorable government policies, and increased incentives. The other factors that are driving the demand include government initiatives to increase EHR adoption, growing pressure to curb healthcare spending and improve patient outcomes, the emergence of big data in healthcare, and the rising importance of real-world evidence.

Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global IT Spending on Clinical Analytics market throughout the predicted period.

SAS Institute Inc. (United States), IBM Corporation (United States), Oracle Corporation (United States), Hewlett-Packard Enterprise Development LP (United States), Verisk Analytics, Inc. (United States), McKesson Corporation (United States), Cerner Corporation (United States), Optum, Inc. (United States), Allscripts Healthcare Solutions, Inc. (United States) and CareCloud 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 ArborMetrix, Inc. (United States), Health Catalyst (United States), Medical Information Technology, Inc. (United States), Inovalon Holdings, Inc. (United States) and Medeanalytics, Inc. (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 total available market.

Segmentation Overview
The study have segmented the market of Global IT Spending on Clinical Analytics market and Region with country level break-up.

On the basis of geography, the market of IT Spending on Clinical Analytics 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).

Market Leaders and their expansionary development strategies
In July 2018, Health Catalyst has acquired Medicity, a PHM company offering solutions for HIEs, business intelligence, and provider and patient engagement.
In June 2018, MedeAnalytics has announced its partnership with HealthEdge to enable payers to lower costs, reduce gaps in care, enhance broker & employer plan engagement, improve quality outcomes, and increase member satisfaction by leveraging each company’s complementary capabilities.


Market Trend
  • Growing Adoption of Healthcare Enterprises of Electronic Health Records (EHRs)

Market Drivers
  • Rising Adoption of Digital Data Management Tools in Healthcare Owing To Rise in Expenditure on Clinical Analytics Systems and Solutions
  • Rapid Digital Transformation in Healthcare Industry
  • Rising Need for Cost-effective Solutions

Opportunities
  • The Shift of Healthcare Providers, and Insurers to Support Patient Care
  • Opportunities to Use Big Data to Reduce the Costs of Health Care

Restraints
  • Lack of Standardized Framework for Data in the IT Spending On Clinical Analytics

Challenges
  • Lack of Skilled Workforce or Resources


Key Target Audience
Clinical Analytics Service Providers, System and Software Developers, Laboratories & Research Institutes, Hospitals & Clinics, End-Use Industries and Others

Report Objectives / Segmentation Covered

By Platform
  • Stand-alone
  • Integrated

By Solutions
  • In-house (Hardware, Software, Services)
  • Outsource

By Deployment Type
  • Cloud-based
  • On-premise

By End-User
  • Payer (Insurance Companies and Government)
  • Provider (Hospital and Clinics)

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. Rising Adoption of Digital Data Management Tools in Healthcare Owing To Rise in Expenditure on Clinical Analytics Systems and Solutions
      • 3.2.2. Rapid Digital Transformation in Healthcare Industry
      • 3.2.3. Rising Need for Cost-effective Solutions
    • 3.3. Market Challenges
      • 3.3.1. Lack of Skilled Workforce or Resources
    • 3.4. Market Trends
      • 3.4.1. Growing Adoption of Healthcare Enterprises of Electronic Health Records (EHRs)
  • 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 IT Spending on Clinical Analytics, by Platform, Solutions, Deployment Type, End-User and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global IT Spending on Clinical Analytics (Value)
      • 5.2.1. Global IT Spending on Clinical Analytics by: Platform (Value)
        • 5.2.1.1. Stand-alone
        • 5.2.1.2. Integrated
      • 5.2.2. Global IT Spending on Clinical Analytics by: Solutions (Value)
        • 5.2.2.1. In-house (Hardware, Software, Services)
        • 5.2.2.2. Outsource
      • 5.2.3. Global IT Spending on Clinical Analytics by: Deployment Type (Value)
        • 5.2.3.1. Cloud-based
        • 5.2.3.2. On-premise
      • 5.2.4. Global IT Spending on Clinical Analytics by: End-User (Value)
        • 5.2.4.1. Payer (Insurance Companies and Government)
        • 5.2.4.2. Provider (Hospital and Clinics)
      • 5.2.5. Global IT Spending on Clinical Analytics 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. IT Spending on Clinical Analytics: 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. SAS Institute Inc. (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. Oracle Corporation (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Hewlett-Packard Enterprise Development LP (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. Verisk Analytics, Inc. (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. McKesson Corporation (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. Cerner Corporation (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. Optum, 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. Allscripts Healthcare Solutions, 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. CareCloud Corporation (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global IT Spending on Clinical Analytics Sale, by Platform, Solutions, Deployment Type, End-User and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global IT Spending on Clinical Analytics (Value)
      • 7.2.1. Global IT Spending on Clinical Analytics by: Platform (Value)
        • 7.2.1.1. Stand-alone
        • 7.2.1.2. Integrated
      • 7.2.2. Global IT Spending on Clinical Analytics by: Solutions (Value)
        • 7.2.2.1. In-house (Hardware, Software, Services)
        • 7.2.2.2. Outsource
      • 7.2.3. Global IT Spending on Clinical Analytics by: Deployment Type (Value)
        • 7.2.3.1. Cloud-based
        • 7.2.3.2. On-premise
      • 7.2.4. Global IT Spending on Clinical Analytics by: End-User (Value)
        • 7.2.4.1. Payer (Insurance Companies and Government)
        • 7.2.4.2. Provider (Hospital and Clinics)
      • 7.2.5. Global IT Spending on Clinical Analytics 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. IT Spending on Clinical Analytics: by Platform(USD Million)
  • Table 2. IT Spending on Clinical Analytics Stand-alone , by Region USD Million (2015-2020)
  • Table 3. IT Spending on Clinical Analytics Integrated , by Region USD Million (2015-2020)
  • Table 4. IT Spending on Clinical Analytics: by Solutions(USD Million)
  • Table 5. IT Spending on Clinical Analytics In-house (Hardware, Software, Services) , by Region USD Million (2015-2020)
  • Table 6. IT Spending on Clinical Analytics Outsource , by Region USD Million (2015-2020)
  • Table 7. IT Spending on Clinical Analytics: by Deployment Type(USD Million)
  • Table 8. IT Spending on Clinical Analytics Cloud-based , by Region USD Million (2015-2020)
  • Table 9. IT Spending on Clinical Analytics On-premise , by Region USD Million (2015-2020)
  • Table 10. IT Spending on Clinical Analytics: by End-User(USD Million)
  • Table 11. IT Spending on Clinical Analytics Payer (Insurance Companies and Government) , by Region USD Million (2015-2020)
  • Table 12. IT Spending on Clinical Analytics Provider (Hospital and Clinics) , by Region USD Million (2015-2020)
  • Table 13. South America IT Spending on Clinical Analytics, by Country USD Million (2015-2020)
  • Table 14. South America IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 15. South America IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 16. South America IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 17. South America IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 18. Brazil IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 19. Brazil IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 20. Brazil IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 21. Brazil IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 22. Argentina IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 23. Argentina IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 24. Argentina IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 25. Argentina IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 26. Rest of South America IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 27. Rest of South America IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 28. Rest of South America IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 29. Rest of South America IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 30. Asia Pacific IT Spending on Clinical Analytics, by Country USD Million (2015-2020)
  • Table 31. Asia Pacific IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 32. Asia Pacific IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 33. Asia Pacific IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 34. Asia Pacific IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 35. China IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 36. China IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 37. China IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 38. China IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 39. Japan IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 40. Japan IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 41. Japan IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 42. Japan IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 43. India IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 44. India IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 45. India IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 46. India IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 47. South Korea IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 48. South Korea IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 49. South Korea IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 50. South Korea IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 51. Taiwan IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 52. Taiwan IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 53. Taiwan IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 54. Taiwan IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 55. Australia IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 56. Australia IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 57. Australia IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 58. Australia IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 59. Rest of Asia-Pacific IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 60. Rest of Asia-Pacific IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 61. Rest of Asia-Pacific IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 62. Rest of Asia-Pacific IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 63. Europe IT Spending on Clinical Analytics, by Country USD Million (2015-2020)
  • Table 64. Europe IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 65. Europe IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 66. Europe IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 67. Europe IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 68. Germany IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 69. Germany IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 70. Germany IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 71. Germany IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 72. France IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 73. France IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 74. France IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 75. France IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 76. Italy IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 77. Italy IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 78. Italy IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 79. Italy IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 80. United Kingdom IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 81. United Kingdom IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 82. United Kingdom IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 83. United Kingdom IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 84. Netherlands IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 85. Netherlands IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 86. Netherlands IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 87. Netherlands IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 88. Rest of Europe IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 89. Rest of Europe IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 90. Rest of Europe IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 91. Rest of Europe IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 92. MEA IT Spending on Clinical Analytics, by Country USD Million (2015-2020)
  • Table 93. MEA IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 94. MEA IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 95. MEA IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 96. MEA IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 97. Middle East IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 98. Middle East IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 99. Middle East IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 100. Middle East IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 101. Africa IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 102. Africa IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 103. Africa IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 104. Africa IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 105. North America IT Spending on Clinical Analytics, by Country USD Million (2015-2020)
  • Table 106. North America IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 107. North America IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 108. North America IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 109. North America IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 110. United States IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 111. United States IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 112. United States IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 113. United States IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 114. Canada IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 115. Canada IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 116. Canada IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 117. Canada IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 118. Mexico IT Spending on Clinical Analytics, by Platform USD Million (2015-2020)
  • Table 119. Mexico IT Spending on Clinical Analytics, by Solutions USD Million (2015-2020)
  • Table 120. Mexico IT Spending on Clinical Analytics, by Deployment Type USD Million (2015-2020)
  • Table 121. Mexico IT Spending on Clinical Analytics, by End-User USD Million (2015-2020)
  • Table 122. Company Basic Information, Sales Area and Its Competitors
  • Table 123. Company Basic Information, Sales Area and Its Competitors
  • Table 124. Company Basic Information, Sales Area and Its Competitors
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • 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. IT Spending on Clinical Analytics: by Platform(USD Million)
  • Table 133. IT Spending on Clinical Analytics Stand-alone , by Region USD Million (2021-2026)
  • Table 134. IT Spending on Clinical Analytics Integrated , by Region USD Million (2021-2026)
  • Table 135. IT Spending on Clinical Analytics: by Solutions(USD Million)
  • Table 136. IT Spending on Clinical Analytics In-house (Hardware, Software, Services) , by Region USD Million (2021-2026)
  • Table 137. IT Spending on Clinical Analytics Outsource , by Region USD Million (2021-2026)
  • Table 138. IT Spending on Clinical Analytics: by Deployment Type(USD Million)
  • Table 139. IT Spending on Clinical Analytics Cloud-based , by Region USD Million (2021-2026)
  • Table 140. IT Spending on Clinical Analytics On-premise , by Region USD Million (2021-2026)
  • Table 141. IT Spending on Clinical Analytics: by End-User(USD Million)
  • Table 142. IT Spending on Clinical Analytics Payer (Insurance Companies and Government) , by Region USD Million (2021-2026)
  • Table 143. IT Spending on Clinical Analytics Provider (Hospital and Clinics) , by Region USD Million (2021-2026)
  • Table 144. South America IT Spending on Clinical Analytics, by Country USD Million (2021-2026)
  • Table 145. South America IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 146. South America IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 147. South America IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 148. South America IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 149. Brazil IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 150. Brazil IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 151. Brazil IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 152. Brazil IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 153. Argentina IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 154. Argentina IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 155. Argentina IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 156. Argentina IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 157. Rest of South America IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 158. Rest of South America IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 159. Rest of South America IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 160. Rest of South America IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 161. Asia Pacific IT Spending on Clinical Analytics, by Country USD Million (2021-2026)
  • Table 162. Asia Pacific IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 163. Asia Pacific IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 164. Asia Pacific IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 165. Asia Pacific IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 166. China IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 167. China IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 168. China IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 169. China IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 170. Japan IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 171. Japan IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 172. Japan IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 173. Japan IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 174. India IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 175. India IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 176. India IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 177. India IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 178. South Korea IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 179. South Korea IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 180. South Korea IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 181. South Korea IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 182. Taiwan IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 183. Taiwan IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 184. Taiwan IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 185. Taiwan IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 186. Australia IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 187. Australia IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 188. Australia IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 189. Australia IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 190. Rest of Asia-Pacific IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 191. Rest of Asia-Pacific IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 192. Rest of Asia-Pacific IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 193. Rest of Asia-Pacific IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 194. Europe IT Spending on Clinical Analytics, by Country USD Million (2021-2026)
  • Table 195. Europe IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 196. Europe IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 197. Europe IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 198. Europe IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 199. Germany IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 200. Germany IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 201. Germany IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 202. Germany IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 203. France IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 204. France IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 205. France IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 206. France IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 207. Italy IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 208. Italy IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 209. Italy IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 210. Italy IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 211. United Kingdom IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 212. United Kingdom IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 213. United Kingdom IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 214. United Kingdom IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 215. Netherlands IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 216. Netherlands IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 217. Netherlands IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 218. Netherlands IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 219. Rest of Europe IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 220. Rest of Europe IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 221. Rest of Europe IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 222. Rest of Europe IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 223. MEA IT Spending on Clinical Analytics, by Country USD Million (2021-2026)
  • Table 224. MEA IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 225. MEA IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 226. MEA IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 227. MEA IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 228. Middle East IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 229. Middle East IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 230. Middle East IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 231. Middle East IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 232. Africa IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 233. Africa IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 234. Africa IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 235. Africa IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 236. North America IT Spending on Clinical Analytics, by Country USD Million (2021-2026)
  • Table 237. North America IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 238. North America IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 239. North America IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 240. North America IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 241. United States IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 242. United States IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 243. United States IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 244. United States IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 245. Canada IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 246. Canada IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 247. Canada IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 248. Canada IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 249. Mexico IT Spending on Clinical Analytics, by Platform USD Million (2021-2026)
  • Table 250. Mexico IT Spending on Clinical Analytics, by Solutions USD Million (2021-2026)
  • Table 251. Mexico IT Spending on Clinical Analytics, by Deployment Type USD Million (2021-2026)
  • Table 252. Mexico IT Spending on Clinical Analytics, by End-User USD Million (2021-2026)
  • Table 253. Research Programs/Design for This Report
  • Table 254. Key Data Information from Secondary Sources
  • Table 255. 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 IT Spending on Clinical Analytics: by Platform USD Million (2015-2020)
  • Figure 5. Global IT Spending on Clinical Analytics: by Solutions USD Million (2015-2020)
  • Figure 6. Global IT Spending on Clinical Analytics: by Deployment Type USD Million (2015-2020)
  • Figure 7. Global IT Spending on Clinical Analytics: by End-User USD Million (2015-2020)
  • Figure 8. South America IT Spending on Clinical Analytics Share (%), by Country
  • Figure 9. Asia Pacific IT Spending on Clinical Analytics Share (%), by Country
  • Figure 10. Europe IT Spending on Clinical Analytics Share (%), by Country
  • Figure 11. MEA IT Spending on Clinical Analytics Share (%), by Country
  • Figure 12. North America IT Spending on Clinical Analytics Share (%), by Country
  • Figure 13. Global IT Spending on Clinical Analytics share by Players 2020 (%)
  • Figure 14. Global IT Spending on Clinical Analytics share by Players (Top 3) 2020(%)
  • Figure 15. Global IT Spending on Clinical Analytics share by Players (Top 5) 2020(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. SAS Institute Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 18. SAS Institute Inc. (United States) Revenue: by Geography 2020
  • Figure 19. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. IBM Corporation (United States) Revenue: by Geography 2020
  • Figure 21. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. Oracle Corporation (United States) Revenue: by Geography 2020
  • Figure 23. Hewlett-Packard Enterprise Development LP (United States) Revenue, Net Income and Gross profit
  • Figure 24. Hewlett-Packard Enterprise Development LP (United States) Revenue: by Geography 2020
  • Figure 25. Verisk Analytics, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 26. Verisk Analytics, Inc. (United States) Revenue: by Geography 2020
  • Figure 27. McKesson Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 28. McKesson Corporation (United States) Revenue: by Geography 2020
  • Figure 29. Cerner Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 30. Cerner Corporation (United States) Revenue: by Geography 2020
  • Figure 31. Optum, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 32. Optum, Inc. (United States) Revenue: by Geography 2020
  • Figure 33. Allscripts Healthcare Solutions, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 34. Allscripts Healthcare Solutions, Inc. (United States) Revenue: by Geography 2020
  • Figure 35. CareCloud Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 36. CareCloud Corporation (United States) Revenue: by Geography 2020
  • Figure 37. Global IT Spending on Clinical Analytics: by Platform USD Million (2021-2026)
  • Figure 38. Global IT Spending on Clinical Analytics: by Solutions USD Million (2021-2026)
  • Figure 39. Global IT Spending on Clinical Analytics: by Deployment Type USD Million (2021-2026)
  • Figure 40. Global IT Spending on Clinical Analytics: by End-User USD Million (2021-2026)
  • Figure 41. South America IT Spending on Clinical Analytics Share (%), by Country
  • Figure 42. Asia Pacific IT Spending on Clinical Analytics Share (%), by Country
  • Figure 43. Europe IT Spending on Clinical Analytics Share (%), by Country
  • Figure 44. MEA IT Spending on Clinical Analytics Share (%), by Country
  • Figure 45. North America IT Spending on Clinical Analytics Share (%), by Country
List of companies from research coverage that are profiled in the study
  • SAS Institute Inc. (United States)
  • IBM Corporation (United States)
  • Oracle Corporation (United States)
  • Hewlett-Packard Enterprise Development LP (United States)
  • Verisk Analytics, Inc. (United States)
  • McKesson Corporation (United States)
  • Cerner Corporation (United States)
  • Optum, Inc. (United States)
  • Allscripts Healthcare Solutions, Inc. (United States)
  • CareCloud Corporation (United States)
Additional players considered in the study are as follows:
ArborMetrix, Inc. (United States) , Health Catalyst (United States) , Medical Information Technology, Inc. (United States) , Inovalon Holdings, Inc. (United States) , Medeanalytics, Inc. (United States)
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Global IT Spending on Clinical Analytics Quantitative research analysis
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