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 2028

Artificial Intelligence In Diabetes Management Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
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

AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Historical Period2018-2022
UnitValue (USD Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Influencing Trend:
The Emergence of Mobile Technology in Diabetes Management

Market Growth Drivers:
Unhealthy Lifestyle Leading to Increasing Number of Patient with Diabetes and Growing Geriatric Population

Challenges:
Privacy and Data Safety Concerns

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

Opportunities:
Technological Development and Product Innovations

Competitive Landscape:
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.
Some of the key players profiled in the report 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). Additionally, following companies can also be profiled that are part of our coverage like DreaMed Diabetes, Ltd. (Israel), Virta Health (United States) and GlucoMe (Israel). Analyst at AMA Research see United States Players to retain maximum share of Global Artificial Intelligence In Diabetes Management market by 2028. Considering Market by End Users, the sub-segment i.e. Hospitals and Clinics will boost the Artificial Intelligence In Diabetes Management market. Considering Market by Techniques , the sub-segment i.e. Cased Based Reasoning will boost the Artificial Intelligence In Diabetes Management market. Considering Market by Device , the sub-segment i.e. Glucose Monitoring Devices will boost the Artificial Intelligence In Diabetes Management market.

Latest Market Insights:
In March 2022 Glooko Inc., a leading provider of remote patient monitoring and data management solutions for diabetes and related chronic conditions, acquired DIABNEXT, a Paris-based company whose digital health platform helps people with diabetes better manage their conditions and connects to their healthcare providers, so they can work together to improve health outcomes.

In June 2022, Diabeloop rounds up €70M to take AI-powered insulin delivery tech global. closed-loop insulin delivery systems or artificial pancreas, and they use blood sugar readings from continuous glucose monitors to automatically adjust the settings on connected insulin pumps. As an alternative to an FDA-cleared all-in-one system from Medtronic, U.S. patients can also combine insulin pumps from Insulet or Tandem with a Dexcom CGM to create a hybrid version, while Europeans have access to similar CE-marked hybrid systems powered by artificial intelligence algorithms from Diabeloop. But the Diabeloop mechanism may soon make its way stateside as well

As part of the AI/ML Action Plan, the FDA is highlighting its intention to develop an update to the proposed regulatory framework presented in the AI/ML-based SaMD discussion paper, including through the issuance of draft guidance on the predetermined change control plan.

What Can be Explored with the Artificial Intelligence In Diabetes Management Market Study
 Gain Market Understanding
 Identify Growth Opportunities
 Analyze and Measure the Global Artificial Intelligence In Diabetes Management Market by Identifying Investment across various Industry Verticals
 Understand the Trends that will drive Future Changes in Artificial Intelligence In Diabetes 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 Artificial Intelligence In Diabetes 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 Artificial Intelligence In Diabetes 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 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.
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.

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 and price ) (2017-2022)
    • 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
    • 5.3. Global Artificial Intelligence In Diabetes Management (Price)
  • 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 (2022)
    • 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 and price ) (2023-2028)
    • 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
    • 7.3. Global Artificial Intelligence In Diabetes 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. Artificial Intelligence In Diabetes Management: by Application(USD Million)
  • Table 2. Artificial Intelligence In Diabetes Management Automated Retinal Screening , by Region USD Million (2017-2022)
  • Table 3. Artificial Intelligence In Diabetes Management Clinical Decision Support , by Region USD Million (2017-2022)
  • Table 4. Artificial Intelligence In Diabetes Management Predictive Population Risk Stratification , by Region USD Million (2017-2022)
  • Table 5. Artificial Intelligence In Diabetes Management Patient Self-Management Tools , by Region USD Million (2017-2022)
  • Table 6. Artificial Intelligence In Diabetes Management Others , by Region USD Million (2017-2022)
  • 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 (2017-2022)
  • Table 9. Artificial Intelligence In Diabetes Management Diabetes Management Centers , by Region USD Million (2017-2022)
  • Table 10. Artificial Intelligence In Diabetes Management Research Institutes , by Region USD Million (2017-2022)
  • Table 11. South America Artificial Intelligence In Diabetes Management, by Country USD Million (2017-2022)
  • Table 12. South America Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 13. South America Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 14. South America Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 15. South America Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 16. Brazil Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 17. Brazil Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 18. Brazil Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 19. Brazil Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 20. Argentina Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 21. Argentina Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 22. Argentina Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 23. Argentina Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 24. Rest of South America Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 25. Rest of South America Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 26. Rest of South America Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 27. Rest of South America Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 28. Asia Pacific Artificial Intelligence In Diabetes Management, by Country USD Million (2017-2022)
  • Table 29. Asia Pacific Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 30. Asia Pacific Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 31. Asia Pacific Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 32. Asia Pacific Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 33. China Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 34. China Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 35. China Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 36. China Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 37. Japan Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 38. Japan Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 39. Japan Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 40. Japan Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 41. India Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 42. India Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 43. India Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 44. India Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 45. South Korea Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 46. South Korea Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 47. South Korea Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 48. South Korea Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 49. Taiwan Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 50. Taiwan Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 51. Taiwan Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 52. Taiwan Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 53. Australia Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 54. Australia Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 55. Australia Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 56. Australia Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 57. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 58. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 59. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 60. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 61. Europe Artificial Intelligence In Diabetes Management, by Country USD Million (2017-2022)
  • Table 62. Europe Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 63. Europe Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 64. Europe Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 65. Europe Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 66. Germany Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 67. Germany Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 68. Germany Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 69. Germany Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 70. France Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 71. France Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 72. France Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 73. France Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 74. Italy Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 75. Italy Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 76. Italy Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 77. Italy Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 78. United Kingdom Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 79. United Kingdom Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 80. United Kingdom Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 81. United Kingdom Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 82. Netherlands Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 83. Netherlands Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 84. Netherlands Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 85. Netherlands Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 86. Rest of Europe Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 87. Rest of Europe Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 88. Rest of Europe Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 89. Rest of Europe Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 90. MEA Artificial Intelligence In Diabetes Management, by Country USD Million (2017-2022)
  • Table 91. MEA Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 92. MEA Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 93. MEA Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 94. MEA Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 95. Middle East Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 96. Middle East Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 97. Middle East Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 98. Middle East Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 99. Africa Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 100. Africa Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 101. Africa Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 102. Africa Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 103. North America Artificial Intelligence In Diabetes Management, by Country USD Million (2017-2022)
  • Table 104. North America Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 105. North America Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 106. North America Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 107. North America Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 108. United States Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 109. United States Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 110. United States Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 111. United States Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 112. Canada Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 113. Canada Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 114. Canada Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 115. Canada Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • Table 116. Mexico Artificial Intelligence In Diabetes Management, by Application USD Million (2017-2022)
  • Table 117. Mexico Artificial Intelligence In Diabetes Management, by End Users USD Million (2017-2022)
  • Table 118. Mexico Artificial Intelligence In Diabetes Management, by Techniques USD Million (2017-2022)
  • Table 119. Mexico Artificial Intelligence In Diabetes Management, by Device USD Million (2017-2022)
  • 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 (2023-2028)
  • Table 130. Artificial Intelligence In Diabetes Management Clinical Decision Support , by Region USD Million (2023-2028)
  • Table 131. Artificial Intelligence In Diabetes Management Predictive Population Risk Stratification , by Region USD Million (2023-2028)
  • Table 132. Artificial Intelligence In Diabetes Management Patient Self-Management Tools , by Region USD Million (2023-2028)
  • Table 133. Artificial Intelligence In Diabetes Management Others , by Region USD Million (2023-2028)
  • 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 (2023-2028)
  • Table 136. Artificial Intelligence In Diabetes Management Diabetes Management Centers , by Region USD Million (2023-2028)
  • Table 137. Artificial Intelligence In Diabetes Management Research Institutes , by Region USD Million (2023-2028)
  • Table 138. South America Artificial Intelligence In Diabetes Management, by Country USD Million (2023-2028)
  • Table 139. South America Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 140. South America Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 141. South America Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 142. South America Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 143. Brazil Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 144. Brazil Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 145. Brazil Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 146. Brazil Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 147. Argentina Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 148. Argentina Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 149. Argentina Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 150. Argentina Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 151. Rest of South America Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 152. Rest of South America Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 153. Rest of South America Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 154. Rest of South America Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 155. Asia Pacific Artificial Intelligence In Diabetes Management, by Country USD Million (2023-2028)
  • Table 156. Asia Pacific Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 157. Asia Pacific Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 158. Asia Pacific Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 159. Asia Pacific Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 160. China Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 161. China Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 162. China Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 163. China Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 164. Japan Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 165. Japan Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 166. Japan Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 167. Japan Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 168. India Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 169. India Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 170. India Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 171. India Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 172. South Korea Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 173. South Korea Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 174. South Korea Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 175. South Korea Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 176. Taiwan Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 177. Taiwan Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 178. Taiwan Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 179. Taiwan Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 180. Australia Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 181. Australia Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 182. Australia Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 183. Australia Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 184. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 185. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 186. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 187. Rest of Asia-Pacific Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 188. Europe Artificial Intelligence In Diabetes Management, by Country USD Million (2023-2028)
  • Table 189. Europe Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 190. Europe Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 191. Europe Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 192. Europe Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 193. Germany Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 194. Germany Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 195. Germany Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 196. Germany Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 197. France Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 198. France Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 199. France Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 200. France Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 201. Italy Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 202. Italy Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 203. Italy Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 204. Italy Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 205. United Kingdom Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 206. United Kingdom Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 207. United Kingdom Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 208. United Kingdom Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 209. Netherlands Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 210. Netherlands Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 211. Netherlands Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 212. Netherlands Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 213. Rest of Europe Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 214. Rest of Europe Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 215. Rest of Europe Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 216. Rest of Europe Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 217. MEA Artificial Intelligence In Diabetes Management, by Country USD Million (2023-2028)
  • Table 218. MEA Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 219. MEA Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 220. MEA Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 221. MEA Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 222. Middle East Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 223. Middle East Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 224. Middle East Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 225. Middle East Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 226. Africa Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 227. Africa Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 228. Africa Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 229. Africa Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 230. North America Artificial Intelligence In Diabetes Management, by Country USD Million (2023-2028)
  • Table 231. North America Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 232. North America Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 233. North America Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 234. North America Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 235. United States Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 236. United States Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 237. United States Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 238. United States Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 239. Canada Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 240. Canada Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 241. Canada Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 242. Canada Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • Table 243. Mexico Artificial Intelligence In Diabetes Management, by Application USD Million (2023-2028)
  • Table 244. Mexico Artificial Intelligence In Diabetes Management, by End Users USD Million (2023-2028)
  • Table 245. Mexico Artificial Intelligence In Diabetes Management, by Techniques USD Million (2023-2028)
  • Table 246. Mexico Artificial Intelligence In Diabetes Management, by Device USD Million (2023-2028)
  • 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 (2017-2022)
  • Figure 5. Global Artificial Intelligence In Diabetes Management: by End Users USD Million (2017-2022)
  • 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 2022 (%)
  • Figure 12. Global Artificial Intelligence In Diabetes Management share by Players (Top 3) 2022(%)
  • Figure 13. Global Artificial Intelligence In Diabetes Management share by Players (Top 5) 2022(%)
  • 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 2022
  • Figure 17. Diabnext (China) Revenue, Net Income and Gross profit
  • Figure 18. Diabnext (China) Revenue: by Geography 2022
  • Figure 19. Glooko Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 20. Glooko Inc. (United States) Revenue: by Geography 2022
  • Figure 21. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. IBM Corporation (United States) Revenue: by Geography 2022
  • Figure 23. Tidepool (United States) Revenue, Net Income and Gross profit
  • Figure 24. Tidepool (United States) Revenue: by Geography 2022
  • Figure 25. Google, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 26. Google, Inc. (United States) Revenue: by Geography 2022
  • Figure 27. Vodafone Group Plc. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 28. Vodafone Group Plc. (United Kingdom) Revenue: by Geography 2022
  • Figure 29. Bigfoot Biomedical (United States) Revenue, Net Income and Gross profit
  • Figure 30. Bigfoot Biomedical (United States) Revenue: by Geography 2022
  • Figure 31. Global Artificial Intelligence In Diabetes Management: by Application USD Million (2023-2028)
  • Figure 32. Global Artificial Intelligence In Diabetes Management: by End Users USD Million (2023-2028)
  • 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
List of companies from research coverage that are profiled in the study
  • 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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Key Highlights of Report


Apr 2023 165 Pages 62 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Artificial Intelligence In Diabetes Management Market Quantitative research analysis
Global Artificial Intelligence In Diabetes Management Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

Top performing companies in the Global Artificial Intelligence In Diabetes Management market 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), to name a few.
"The Emergence of Mobile Technology in Diabetes Management" is seen as one of major influencing trends for Artificial Intelligence In Diabetes Management Market during projected period 2022-2028.

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