Global Artificial Intelligence In Diabetes Management Market
Global Artificial Intelligence In Diabetes Management Market

Artificial Intelligence In Diabetes Management Comprehensive Study by Application (Automated Retinal Screening, Clinical Decision Support, Predictive Population Risk Stratification, Patient Self-Management Tools, Others), End Users (Hospitals and Clinics, Diabetes Management Centers, Research Institutes), Techniques (Cased Based Reasoning, Machine Learning & Deep Learning, Artificial Neural Network, Others), Device (Glucose Monitoring Devices, Diagnostic Devices, Insulin Delivery Devices, Others) Players and Region - Global Market Outlook to 2024

Artificial Intelligence In Diabetes Management Market Segmented into XX Submarkets. | Forecast Years: 2019- 2024  

Jun 2019 Edition 225 Pages 160 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Global Artificial Intelligence In Diabetes Management Market Overview:
Artificial Intelligence in Diabetes Software refers to algorithms and software used in the investigation of complex medical data for diabetic patients. Artificial Intelligence refers to gathering information, processing it and giving a precise output to the customers. Software companies are introducing numerous applications catering to diabetes management. These find application in controlling and managing diabetes. Growing use of mobile phones and other digital platforms by companies to design such applications are the key factors growing artificial intelligence in the diabetes management market Some of the key players profiled in the study are Apple Inc. (United States), Diabnext (China), Glooko Inc. (United States), IBM Corporation (United States), Tidepool (United States), Google, Inc. (United States), Vodafone Group Plc. (United Kingdom) and Bigfoot Biomedical (United States).

On the basis of geography, the market of Artificial Intelligence In Diabetes Management 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). If we see Market by End Users, the sub-segment i.e. Hospitals and Clinics will boost the Artificial Intelligence In Diabetes Management market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Techniques , the sub-segment i.e. Cased Based Reasoning will boost the Artificial Intelligence In Diabetes Management market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Device , the sub-segment i.e. Glucose Monitoring Devices will boost the Artificial Intelligence In Diabetes Management market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Unhealthy Lifestyle Leading to Increasing Number of Patient with Diabetes
  • Growing Geriatric Population

Market Trend
  • The Emergence of Mobile Technology in Diabetes Management

Restraints
  • High Cost Associated with Artificial Intelligence in Diabetes Software Management
  • Inability of People to Operate Mobile Applications

Opportunities
  • Technological Development and Product Innovations

Challenges
  • Privacy and Data Safety Concerns




Artificial intelligence in diabetes software management is growing owing to technological development and product innovation such as mobile applications to analyze glucose level. The market is expected to witness collaborations among, IT and healthcare companies, to enhance patient user experience, thereby boosting acceptance.

Target Audience:
Healthcare Institutes, Research Organizations and Consulting Companies, Organizations, Associations and Alliances Related to Artificial Intelligence in Diabetes Software, Government Bodies Such As Regulating Authorities and Policy Makers., Industry Associations, Market Research and Consulting Firms and Others

Major Objectives Focused through this Study
• To define, describe, and forecast the Global Artificial Intelligence In Diabetes Management market on the basis of product [] , application [Automated Retinal Screening, Clinical Decision Support, Predictive Population Risk Stratification, Patient Self-Management Tools and Others], key regions and end user
• To provide in-depth information regarding major influencing factors affecting the growth of the market (trends, drivers, restraints, opportunities, and industry-centric and regional challenges)
• To strategically analyse the micro-markets and important business segments with respect to individual growth drivers , market trends and potential, and historical contributions to the total market
• Identifying the opportunities in the market for key stakeholders and detailing the competitive landscape for market leaders
• To provide market size for various segments of the Artificial Intelligence In Diabetes Management market with respect to major geographies, namely, 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)
• To strategically profile the key players and analyzing their market shares and core competencies in the Artificial Intelligence In Diabetes Management industry
• To track key developments such as product launches, expansions, agreements, partnerships, mergers & acquisitions, and R&D activities that are key factors in shaping the market

Available Customization:
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**. Additionally, the Players which are also part of the research are DreaMed Diabetes, Ltd. (Israel), Virta Health (United States) and GlucoMe (Israel).
** Confirmation on availability of data would be informed prior purchase

While framing the research framework, major and emerging players operating in the Artificial Intelligence In Diabetes Management market in various regions have been profiled, and their offerings, geographic footprints, and distribution/sales channels have been analysed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Dow Jones (Factiva), along with primary respondents. The complete methodology includes the study of the annual and financial reports of the key market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) related to the market.
Report Objectives / Segmentation Covered
By Application
  • Automated Retinal Screening
  • Clinical Decision Support
  • Predictive Population Risk Stratification
  • Patient Self-Management Tools
  • Others
By End Users
  • Hospitals and Clinics
  • Diabetes Management Centers
  • Research Institutes

By Techniques
  • Cased Based Reasoning
  • Machine Learning & Deep Learning
  • Artificial Neural Network
  • Others

By Device
  • Glucose Monitoring Devices
  • Diagnostic Devices
  • Insulin Delivery Devices
  • Others

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. Unhealthy Lifestyle Leading to Increasing Number of Patient with Diabetes
      • 3.2.2. Growing Geriatric Population
    • 3.3. Market Challenges
      • 3.3.1. Privacy and Data Safety Concerns
    • 3.4. Market Trends
      • 3.4.1. The Emergence of Mobile Technology in Diabetes Management
  • 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 Artificial Intelligence In Diabetes Management, by Application, End Users, Techniques , Device and Region (value) (2013-2018)
    • 5.1. Introduction
    • 5.2. Global Artificial Intelligence In Diabetes Management (Value)
      • 5.2.1. Global Artificial Intelligence In Diabetes Management by: Application (Value)
        • 5.2.1.1. Automated Retinal Screening
        • 5.2.1.2. Clinical Decision Support
        • 5.2.1.3. Predictive Population Risk Stratification
        • 5.2.1.4. Patient Self-Management Tools
        • 5.2.1.5. Others
      • 5.2.2. Global Artificial Intelligence In Diabetes Management by: End Users (Value)
        • 5.2.2.1. Hospitals and Clinics
        • 5.2.2.2. Diabetes Management Centers
        • 5.2.2.3. Research Institutes
      • 5.2.3. Global Artificial Intelligence In Diabetes Management Region
        • 5.2.3.1. South America
          • 5.2.3.1.1. Brazil
          • 5.2.3.1.2. Argentina
          • 5.2.3.1.3. Rest of South America
        • 5.2.3.2. Asia Pacific
          • 5.2.3.2.1. China
          • 5.2.3.2.2. Japan
          • 5.2.3.2.3. India
          • 5.2.3.2.4. South Korea
          • 5.2.3.2.5. Taiwan
          • 5.2.3.2.6. Australia
          • 5.2.3.2.7. Rest of Asia-Pacific
        • 5.2.3.3. Europe
          • 5.2.3.3.1. Germany
          • 5.2.3.3.2. France
          • 5.2.3.3.3. Italy
          • 5.2.3.3.4. United Kingdom
          • 5.2.3.3.5. Netherlands
          • 5.2.3.3.6. Rest of Europe
        • 5.2.3.4. MEA
          • 5.2.3.4.1. Middle East
          • 5.2.3.4.2. Africa
        • 5.2.3.5. North America
          • 5.2.3.5.1. United States
          • 5.2.3.5.2. Canada
          • 5.2.3.5.3. Mexico
  • 6. Artificial Intelligence In Diabetes 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 (2018)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Apple 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. Diabnext (China)
        • 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. Glooko Inc. (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 Corporation (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. Tidepool (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Google, Inc. (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. Vodafone Group Plc. (United Kingdom)
        • 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. Bigfoot Biomedical (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
  • 7. Global Artificial Intelligence In Diabetes Management Sale, by Application, End Users, Techniques , Device and Region (value) (2019-2024)
    • 7.1. Introduction
    • 7.2. Global Artificial Intelligence In Diabetes Management (Value)
      • 7.2.1. Global Artificial Intelligence In Diabetes Management by: Application (Value)
        • 7.2.1.1. Automated Retinal Screening
        • 7.2.1.2. Clinical Decision Support
        • 7.2.1.3. Predictive Population Risk Stratification
        • 7.2.1.4. Patient Self-Management Tools
        • 7.2.1.5. Others
      • 7.2.2. Global Artificial Intelligence In Diabetes Management by: End Users (Value)
        • 7.2.2.1. Hospitals and Clinics
        • 7.2.2.2. Diabetes Management Centers
        • 7.2.2.3. Research Institutes
      • 7.2.3. Global Artificial Intelligence In Diabetes Management Region
        • 7.2.3.1. South America
          • 7.2.3.1.1. Brazil
          • 7.2.3.1.2. Argentina
          • 7.2.3.1.3. Rest of South America
        • 7.2.3.2. Asia Pacific
          • 7.2.3.2.1. China
          • 7.2.3.2.2. Japan
          • 7.2.3.2.3. India
          • 7.2.3.2.4. South Korea
          • 7.2.3.2.5. Taiwan
          • 7.2.3.2.6. Australia
          • 7.2.3.2.7. Rest of Asia-Pacific
        • 7.2.3.3. Europe
          • 7.2.3.3.1. Germany
          • 7.2.3.3.2. France
          • 7.2.3.3.3. Italy
          • 7.2.3.3.4. United Kingdom
          • 7.2.3.3.5. Netherlands
          • 7.2.3.3.6. Rest of Europe
        • 7.2.3.4. MEA
          • 7.2.3.4.1. Middle East
          • 7.2.3.4.2. Africa
        • 7.2.3.5. North America
          • 7.2.3.5.1. United States
          • 7.2.3.5.2. Canada
          • 7.2.3.5.3. 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. Artificial Intelligence In Diabetes Management: by Application(USD Million)
  • Table 2. Artificial Intelligence In Diabetes Management Automated Retinal Screening , by Region USD Million (2013-2018)
  • Table 3. Artificial Intelligence In Diabetes Management Clinical Decision Support , by Region USD Million (2013-2018)
  • Table 4. Artificial Intelligence In Diabetes Management Predictive Population Risk Stratification , by Region USD Million (2013-2018)
  • Table 5. Artificial Intelligence In Diabetes Management Patient Self-Management Tools , by Region USD Million (2013-2018)
  • Table 6. Artificial Intelligence In Diabetes Management Others , by Region USD Million (2013-2018)
  • Table 7. Artificial Intelligence In Diabetes Management: by End Users(USD Million)
  • Table 8. Artificial Intelligence In Diabetes Management Hospitals and Clinics , by Region USD Million (2013-2018)
  • Table 9. Artificial Intelligence In Diabetes Management Diabetes Management Centers , by Region USD Million (2013-2018)
  • Table 10. Artificial Intelligence In Diabetes Management Research Institutes , by Region USD Million (2013-2018)
  • Table 11. South America Artificial Intelligence In Diabetes Management, by Country USD Million (2013-2018)
  • Table 12. South America Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 13. South America Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 14. South America Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 15. South America Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 16. Brazil Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 17. Brazil Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 18. Brazil Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 19. Brazil Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 20. Argentina Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 21. Argentina Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 22. Argentina Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 23. Argentina Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 24. Rest of South America Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 25. Rest of South America Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 26. Rest of South America Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 27. Rest of South America Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 28. Asia Pacific Artificial Intelligence In Diabetes Management, by Country USD Million (2013-2018)
  • Table 29. Asia Pacific Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 30. Asia Pacific Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 31. Asia Pacific Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 32. Asia Pacific Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 33. China Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 34. China Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 35. China Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 36. China Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 37. Japan Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 38. Japan Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 39. Japan Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 40. Japan Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 41. India Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 42. India Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 43. India Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 44. India Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 45. South Korea Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 46. South Korea Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 47. South Korea Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 48. South Korea Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 49. Taiwan Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 50. Taiwan Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 51. Taiwan Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 52. Taiwan Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 53. Australia Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 54. Australia Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 55. Australia Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 56. Australia Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 57. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 58. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 59. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 60. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 61. Europe Artificial Intelligence In Diabetes Management, by Country USD Million (2013-2018)
  • Table 62. Europe Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 63. Europe Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 64. Europe Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 65. Europe Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 66. Germany Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 67. Germany Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 68. Germany Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 69. Germany Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 70. France Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 71. France Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 72. France Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 73. France Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 74. Italy Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 75. Italy Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 76. Italy Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 77. Italy Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 78. United Kingdom Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 79. United Kingdom Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 80. United Kingdom Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 81. United Kingdom Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 82. Netherlands Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 83. Netherlands Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 84. Netherlands Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 85. Netherlands Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 86. Rest of Europe Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 87. Rest of Europe Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 88. Rest of Europe Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 89. Rest of Europe Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 90. MEA Artificial Intelligence In Diabetes Management, by Country USD Million (2013-2018)
  • Table 91. MEA Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 92. MEA Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 93. MEA Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 94. MEA Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 95. Middle East Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 96. Middle East Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 97. Middle East Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 98. Middle East Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 99. Africa Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 100. Africa Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 101. Africa Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 102. Africa Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 103. North America Artificial Intelligence In Diabetes Management, by Country USD Million (2013-2018)
  • Table 104. North America Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 105. North America Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 106. North America Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 107. North America Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 108. United States Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 109. United States Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 110. United States Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 111. United States Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 112. Canada Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 113. Canada Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 114. Canada Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 115. Canada Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 116. Mexico Artificial Intelligence In Diabetes Management, by Application USD Million (2013-2018)
  • Table 117. Mexico Artificial Intelligence In Diabetes Management, by End Users USD Million (2013-2018)
  • Table 118. Mexico Artificial Intelligence In Diabetes Management, by Techniques USD Million (2013-2018)
  • Table 119. Mexico Artificial Intelligence In Diabetes Management, by Device USD Million (2013-2018)
  • Table 120. Company Basic Information, Sales Area and Its Competitors
  • Table 121. Company Basic Information, Sales Area and Its Competitors
  • 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. Artificial Intelligence In Diabetes Management: by Application(USD Million)
  • Table 129. Artificial Intelligence In Diabetes Management Automated Retinal Screening , by Region USD Million (2019-2024)
  • Table 130. Artificial Intelligence In Diabetes Management Clinical Decision Support , by Region USD Million (2019-2024)
  • Table 131. Artificial Intelligence In Diabetes Management Predictive Population Risk Stratification , by Region USD Million (2019-2024)
  • Table 132. Artificial Intelligence In Diabetes Management Patient Self-Management Tools , by Region USD Million (2019-2024)
  • Table 133. Artificial Intelligence In Diabetes Management Others , by Region USD Million (2019-2024)
  • Table 134. Artificial Intelligence In Diabetes Management: by End Users(USD Million)
  • Table 135. Artificial Intelligence In Diabetes Management Hospitals and Clinics , by Region USD Million (2019-2024)
  • Table 136. Artificial Intelligence In Diabetes Management Diabetes Management Centers , by Region USD Million (2019-2024)
  • Table 137. Artificial Intelligence In Diabetes Management Research Institutes , by Region USD Million (2019-2024)
  • Table 138. South America Artificial Intelligence In Diabetes Management, by Country USD Million (2019-2024)
  • Table 139. South America Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 140. South America Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 141. South America Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 142. South America Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 143. Brazil Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 144. Brazil Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 145. Brazil Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 146. Brazil Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 147. Argentina Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 148. Argentina Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 149. Argentina Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 150. Argentina Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 151. Rest of South America Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 152. Rest of South America Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 153. Rest of South America Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 154. Rest of South America Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 155. Asia Pacific Artificial Intelligence In Diabetes Management, by Country USD Million (2019-2024)
  • Table 156. Asia Pacific Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 157. Asia Pacific Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 158. Asia Pacific Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 159. Asia Pacific Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 160. China Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 161. China Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 162. China Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 163. China Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 164. Japan Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 165. Japan Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 166. Japan Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 167. Japan Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 168. India Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 169. India Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 170. India Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 171. India Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 172. South Korea Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 173. South Korea Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 174. South Korea Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 175. South Korea Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 176. Taiwan Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 177. Taiwan Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 178. Taiwan Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 179. Taiwan Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 180. Australia Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 181. Australia Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 182. Australia Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 183. Australia Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 184. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 185. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 186. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 187. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 188. Europe Artificial Intelligence In Diabetes Management, by Country USD Million (2019-2024)
  • Table 189. Europe Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 190. Europe Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 191. Europe Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 192. Europe Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 193. Germany Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 194. Germany Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 195. Germany Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 196. Germany Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 197. France Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 198. France Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 199. France Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 200. France Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 201. Italy Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 202. Italy Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 203. Italy Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 204. Italy Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 205. United Kingdom Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 206. United Kingdom Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 207. United Kingdom Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 208. United Kingdom Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 209. Netherlands Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 210. Netherlands Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 211. Netherlands Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 212. Netherlands Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 213. Rest of Europe Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 214. Rest of Europe Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 215. Rest of Europe Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 216. Rest of Europe Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 217. MEA Artificial Intelligence In Diabetes Management, by Country USD Million (2019-2024)
  • Table 218. MEA Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 219. MEA Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 220. MEA Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 221. MEA Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 222. Middle East Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 223. Middle East Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 224. Middle East Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 225. Middle East Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 226. Africa Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 227. Africa Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 228. Africa Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 229. Africa Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 230. North America Artificial Intelligence In Diabetes Management, by Country USD Million (2019-2024)
  • Table 231. North America Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 232. North America Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 233. North America Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 234. North America Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 235. United States Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 236. United States Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 237. United States Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 238. United States Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 239. Canada Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 240. Canada Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 241. Canada Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 242. Canada Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 243. Mexico Artificial Intelligence In Diabetes Management, by Application USD Million (2019-2024)
  • Table 244. Mexico Artificial Intelligence In Diabetes Management, by End Users USD Million (2019-2024)
  • Table 245. Mexico Artificial Intelligence In Diabetes Management, by Techniques USD Million (2019-2024)
  • Table 246. Mexico Artificial Intelligence In Diabetes Management, by Device USD Million (2019-2024)
  • Table 247. Research Programs/Design for This Report
  • Table 248. Key Data Information from Secondary Sources
  • Table 249. 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 Artificial Intelligence In Diabetes Management: by Application USD Million (2013-2018)
  • Figure 5. Global Artificial Intelligence In Diabetes Management: by End Users USD Million (2013-2018)
  • Figure 6. South America Artificial Intelligence In Diabetes Management Share (%), by Country
  • Figure 7. Asia Pacific Artificial Intelligence In Diabetes Management Share (%), by Country
  • Figure 8. Europe Artificial Intelligence In Diabetes Management Share (%), by Country
  • Figure 9. MEA Artificial Intelligence In Diabetes Management Share (%), by Country
  • Figure 10. North America Artificial Intelligence In Diabetes Management Share (%), by Country
  • Figure 11. Global Artificial Intelligence In Diabetes Management share by Players 2018 (%)
  • Figure 12. Global Artificial Intelligence In Diabetes Management share by Players (Top 3) 2018(%)
  • Figure 13. Global Artificial Intelligence In Diabetes Management share by Players (Top 5) 2018(%)
  • Figure 14. BCG Matrix for key Companies
  • Figure 15. Apple Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 16. Apple Inc. (United States) Revenue: by Geography 2018
  • Figure 17. Diabnext (China) Revenue, Net Income and Gross profit
  • Figure 18. Diabnext (China) Revenue: by Geography 2018
  • Figure 19. Glooko Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 20. Glooko Inc. (United States) Revenue: by Geography 2018
  • Figure 21. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. IBM Corporation (United States) Revenue: by Geography 2018
  • Figure 23. Tidepool (United States) Revenue, Net Income and Gross profit
  • Figure 24. Tidepool (United States) Revenue: by Geography 2018
  • Figure 25. Google, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 26. Google, Inc. (United States) Revenue: by Geography 2018
  • Figure 27. Vodafone Group Plc. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 28. Vodafone Group Plc. (United Kingdom) Revenue: by Geography 2018
  • Figure 29. Bigfoot Biomedical (United States) Revenue, Net Income and Gross profit
  • Figure 30. Bigfoot Biomedical (United States) Revenue: by Geography 2018
  • Figure 31. Global Artificial Intelligence In Diabetes Management: by Application USD Million (2019-2024)
  • Figure 32. Global Artificial Intelligence In Diabetes Management: by End Users USD Million (2019-2024)
  • Figure 33. South America Artificial Intelligence In Diabetes Management Share (%), by Country
  • Figure 34. Asia Pacific Artificial Intelligence In Diabetes Management Share (%), by Country
  • Figure 35. Europe Artificial Intelligence In Diabetes Management Share (%), by Country
  • Figure 36. MEA Artificial Intelligence In Diabetes Management Share (%), by Country
  • Figure 37. North America Artificial Intelligence In Diabetes Management Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Apple Inc. (United States)
  • Diabnext (China)
  • Glooko Inc. (United States)
  • IBM Corporation (United States)
  • Tidepool (United States)
  • Google, Inc. (United States)
  • Vodafone Group Plc. (United Kingdom)
  • Bigfoot Biomedical (United States)
Additional players considered in the study are as follows:
DreaMed Diabetes, Ltd. (Israel) , Virta Health (United States) , GlucoMe (Israel)
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