Artificial Intelligence in Diabetes Management Market By Techniques (Cased Based Reasoning, Machine Learning & Deep Learning, Artificial Neural Network, Others), By Application (Automated Retinal Screening, Clinical Decision Support, Predictive Population Risk Stratification, Patient Self-Management Tools, Others), By Device (Glucose Monitoring Devices, Diagnostic Devices, Insulin Delivery Devices, Others), By End Users (Hospitals and Clinics , Diabetes Management Centers , Research Institutes ), By Region (U.S., Canada, Mexico, Rest of North America, France, The UK, Spain, Germany, Italy, Nordic Countries, Benelux Union, Rest of Europe, China, Japan, India, New Zealand, Australia, South Korea, Southeast Asia, Rest of Asia Pacific, Saudi Arabia, UAE, Egypt, Kuwait, South Africa, Rest of Middle East & Africa, Brazil, Argentina, Rest of Latin America) – Global Insights, Growth, Size, Comparative Analysis, Trends and Forecast, 2019 – 2027
Industry Trends
Global artificial intelligence in diabetes management market was estimated to be US$ 218.70 million in 2018 and is expected to reach US$ 3874.52 million by 2027, growing at a CAGR of 37.7% over the forecast period (2019 to 2027). Growing number of Type 2 diabetes population owing to sedentary lifestyle and obesity epidemic aids the growth of the overall industry. Desk-bound jobs mainly overwhelms the body’s internal glucose control leading to requirement of exogenous insulin. Thus, optimal care for people suffering from diabetes is often hampered by absence of real time decision making and not able to make informed choices associated with intensive therapy and tight diabetes control. Therefore, technology advancements leading to real time diabetes care information and rapid expansion of medical knowledge helps patients to track their time and expenses in a better manner. The need for solution that primarily enable a person to optimize their meals and physical activities, based on one’s choice can be a huge change for diabetes patients. Artificial Intelligence in diabetes management algorithm basically delivers such simplified, personalized feedback to individuals making their life easier with less complications. .
In the recent past, AI has been applied to glucose prediction and retinopathy decisions, amongst others. The introduction of artificial pancreas, a hybrid closed-loop system in 2016 duly approved by the FDA is a device that automatically controls blood glucose levels through a subcutaneous sensor and an external insulin pump. Company participant such as Tandem and Medtronic have successfully marketed their products MiniMed 670G/Guardian Sensor 3 and Basal-IQ respectively that automates basal insulin delivery and also helps in correcting boluses for high blood sugars.
Artificial intelligence in diabetes management market is expected to exhibit potential improved outcomes. The introduction of insulin pen coupled with new sensors for physiological monitoring sensors based on genotypic and phenotypic will lead to selections of effective tailored therapies, bringing transformation in the health care industry. However, decision making processes based on quantitative factors and not on qualitative metrics may create fallacy, critically impacting the global industry demand. However, big data along with artificial intelligence will be useful tools in diabetes application, thus shifting the overall process from automation to digitization.
Global Artificial Intelligence in Diabetes Management Market Revenue, 2019 - 2027
Competitive Landscape
The report provides both, qualitative and quantitative research of global artificial intelligence in diabetes management market, as well as provides worthy insights into the rational scenario and favored development methods adopted by key contenders. The report also offers extensive research on the key players in global artificial intelligence in diabetes management market and detailed insights on the competitiveness of these players. Key business strategies such as mergers and acquisitions (M&A), affiliations, collaborations, and contracts adopted by the major players are also recognized and analyzed in the report. For each company, the report recognizes the headquarter, competitors, product/service type, application and specification, pricing, and gross margin.
Market participants include Diabnext, DreaMed Diabetes, Ltd., GlucoMe, Hedia, medicsen, Medtronic, Sweetch, TypeZero Technologies, Inc., XBIRD among others.
Artificial Intelligence in Diabetes Management Market
By Techniques
- Cased Based Reasoning
- Machine Learning & Deep Learning
- Artificial Neural Network
- Others
By Application
- Automated Retinal Screening
- Clinical Decision Support
- Predictive Population Risk Stratification
- Patient Self-Management Tools
- Others
By Device
- Glucose Monitoring Devices
- Diagnostic Devices
- Insulin Delivery Devices
- Others
By End User
- Hospitals and Clinics
- Diabetes Management Centers
- Research Institutes
By Region
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- France
- The UK
- Spain
- Germany
- Italy
- Nordic Countries
- Denmark
- Finland
- Iceland
- Norway
- Sweden
- The Benelux Union
- Belgium
- the Netherlands
- Luxemburg
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- Australia
- New Zealand
- South Korea
- Southeast Asia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Rest of Southeast Asia
- Rest of Asia Pacific
- Middle East and Africa
- Saudi Arabia
- UAE
- Egypt
- Kuwait
- South Africa
- Rest of Middle East & Africa
- Latin America
- Brazil
- Argentina
- Rest of Latin America
Table of Contents
1. Introduction
1.1.
Market Scope
1.2. Years Considered
1.2.1. Historic Years: 2013 - 2017
1.2.2. Base Year: 2018
1.2.3. Forecast Years: 2019 – 2027
2.
Key Target Audiences
3. Research
Methodology
3.1. Primary Research
3.1.1. Research Questionnaire
3.1.2. Country-Wise Percentage Breakdown
3.1.3. Primary Interviews: Key Opinion Leaders (KOLs)
3.2. Secondary Research
3.2.1. Paid Databases
3.2.2. Secondary Sources
3.3. Market Size Estimates
3.3.1. Top-Down Approach
3.3.2. Bottom-Up Approach
3.4. Data Triangulation Methodology
3.5. Research Assumptions
4. Recommendations
and Insights from AMI’s Perspective**
5.
Holistic Overview of
Artificial Intelligence in Diabetes Management Market
6.
Market Synopsis: Artificial Intelligence in Diabetes
Management Market
7. Artificial
Intelligence in Diabetes Management Market Analysis: Qualitative Perspective
7.1. Introduction
7.1.1. Product Definition
7.1.2. Industry Development
7.2. Market Dynamics
7.2.1. Drivers
7.2.2. Restraints
7.2.3. Opportunities
7.2.4.
Challenges
7.3. Trends in Artificial Intelligence in Diabetes Management
Market
7.4. Market Determinants Radar Chart
7.5. Macro-Economic and Micro-Economic Indicators: Artificial
Intelligence in Diabetes Management Market
7.6. Industry Gross Margin Overview
7.7. Porter’s Five Force Analysis
7.8. Value Chain Analysis
7.9. Pricing Analysis, By Region (2017 and 2018)
7.9.1. North America
7.9.1.1. U.S
7.9.1.2. Canada
7.9.1.3. Mexico
7.9.1.4. Rest of North America
7.9.2. Europe
7.9.2.1. France
7.9.2.2. The UK
7.9.2.3. Spain
7.9.2.4. Germany
7.9.2.5. Italy
7.9.2.6. Nordic Countries
7.9.2.6.1. Denmark
7.9.2.6.2. Finland
7.9.2.6.3. Iceland
7.9.2.6.4. Sweden
7.9.2.6.5. Norway
7.9.2.7. Benelux Union
7.9.2.7.1. Belgium
7.9.2.7.2. The Netherlands
7.9.2.7.3. Luxembourg
7.9.2.8. Rest of Europe
7.9.3. Asia Pacific
7.9.3.1. China
7.9.3.2. Japan
7.9.3.3. India
7.9.3.4. New Zealand
7.9.3.5. Australia
7.9.3.6. South Korea
7.9.3.7. Southeast Asia
7.9.3.7.1. Indonesia
7.9.3.7.2. Thailand
7.9.3.7.3. Malaysia
7.9.3.7.4. Singapore
7.9.3.7.5. Rest of South Asia
7.9.3.8. Rest of Asia Pacific
7.9.4. Middle East and Africa
7.9.4.1. Saudi Arabia
7.9.4.2. UAE
7.9.4.3. Egypt
7.9.4.4. Kuwait
7.9.4.5. South Africa
7.9.4.6. Rest of Middle East & Africa
7.9.5. Latin America
7.9.5.1.
Brazil
7.9.5.2. Argentina
7.9.5.3. Rest of Latin America
8. Global
Artificial Intelligence in Diabetes Management Market Analysis and Forecasts,
2019 – 2027
8.1. Overview
8.1.1. Global Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts
8.2. Global Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
8.2.1. Cased Based Reasoning
8.2.1.1. Definition
8.2.1.2. Market Penetration, 2018
8.2.1.3. Market Estimation, 2013 – 2018
8.2.1.4. Market Forecast, 2019 – 2027
8.2.1.5. Compound Annual Growth Rate (CAGR)
8.2.1.6. Regional Bifurcation
8.2.1.6.1. North America
8.2.1.6.1.1. Market Estimation, 2013 – 2018
8.2.1.6.1.2. Market Forecast, 2019 – 2027
8.2.1.6.2. Europe
8.2.1.6.2.1. Market Estimation, 2013 – 2018
8.2.1.6.2.2. Market Forecast, 2019 – 2027
8.2.1.6.3. Asia Pacific
8.2.1.6.3.1. Market Estimation, 2013 – 2018
8.2.1.6.3.2. Market Forecast, 2019 – 2027
8.2.1.6.4. Middle East and Africa
8.2.1.6.4.1. Market Estimation, 2013 – 2018
8.2.1.6.4.2. Market Forecast, 2019 – 2027
8.2.1.6.5. Latin America
8.2.1.6.5.1. Market Estimation, 2013 – 2018
8.2.1.6.5.2.
Market Forecast, 2019 –
2027
8.2.2. Machine Learning & Deep Learning
8.2.2.1. Definition
8.2.2.2. Market Penetration, 2018
8.2.2.3. Market Estimation, 2013 – 2018
8.2.2.4. Market Forecast, 2019 – 2027
8.2.2.5. Compound Annual Growth Rate (CAGR)
8.2.2.6. Regional Bifurcation
8.2.2.6.1. North America
8.2.2.6.1.1. Market Estimation, 2013 – 2018
8.2.2.6.1.2. Market Forecast, 2019 – 2027
8.2.2.6.2. Europe
8.2.2.6.2.1. Market Estimation, 2013 – 2018
8.2.2.6.2.2. Market Forecast, 2019 – 2027
8.2.2.6.3. Asia Pacific
8.2.2.6.3.1. Market Estimation, 2013 – 2018
8.2.2.6.3.2. Market Forecast, 2019 – 2027
8.2.2.6.4. Middle East and Africa
8.2.2.6.4.1. Market Estimation, 2013 – 2018
8.2.2.6.4.2. Market Forecast, 2019 – 2027
8.2.2.6.5. Latin America
8.2.2.6.5.1. Market Estimation, 2013 – 2018
8.2.2.6.5.2.
Market Forecast, 2019 –
2027
8.2.3. Artificial Neural Network
8.2.3.1. Definition
8.2.3.2. Market Penetration, 2018
8.2.3.3. Market Estimation, 2013 – 2018
8.2.3.4. Market Forecast, 2019 – 2027
8.2.3.5. Compound Annual Growth Rate (CAGR)
8.2.3.6. Regional Bifurcation
8.2.3.6.1. North America
8.2.3.6.1.1. Market Estimation, 2013 – 2018
8.2.3.6.1.2. Market Forecast, 2019 – 2027
8.2.3.6.2. Europe
8.2.3.6.2.1. Market Estimation, 2013 – 2018
8.2.3.6.2.2. Market Forecast, 2019 – 2027
8.2.3.6.3. Asia Pacific
8.2.3.6.3.1. Market Estimation, 2013 – 2018
8.2.3.6.3.2. Market Forecast, 2019 – 2027
8.2.3.6.4. Middle East and Africa
8.2.3.6.4.1. Market Estimation, 2013 – 2018
8.2.3.6.4.2. Market Forecast, 2019 – 2027
8.2.3.6.5. Latin America
8.2.3.6.5.1. Market Estimation, 2013 – 2018
8.2.3.6.5.2.
Market Forecast, 2019 –
2027
8.2.4. Others
8.2.4.1. Definition
8.2.4.2. Market Penetration, 2018
8.2.4.3. Market Estimation, 2013 – 2018
8.2.4.4. Market Forecast, 2019 – 2027
8.2.4.5. Compound Annual Growth Rate (CAGR)
8.2.4.6. Regional Bifurcation
8.2.4.6.1. North America
8.2.4.6.1.1. Market Estimation, 2013 – 2018
8.2.4.6.1.2. Market Forecast, 2019 – 2027
8.2.4.6.2. Europe
8.2.4.6.2.1. Market Estimation, 2013 – 2018
8.2.4.6.2.2. Market Forecast, 2019 – 2027
8.2.4.6.3. Asia Pacific
8.2.4.6.3.1. Market Estimation, 2013 – 2018
8.2.4.6.3.2. Market Forecast, 2019 – 2027
8.2.4.6.4. Middle East and Africa
8.2.4.6.4.1. Market Estimation, 2013 – 2018
8.2.4.6.4.2. Market Forecast, 2019 – 2027
8.2.4.6.5. Latin America
8.2.4.6.5.1. Market Estimation, 2013 – 2018
8.2.4.6.5.2.
Market Forecast, 2019 –
2027
8.3. Key Segment for Channeling Investments
8.3.1. By Techniques
9. Global
Artificial Intelligence in Diabetes Management Market Analysis and Forecasts,
2019 – 2027
9.1. Overview
9.2. Global Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
9.2.1. Glucose Monitoring Devices
9.2.1.1. Definition
9.2.1.2. Market Penetration, 2018
9.2.1.3. Market Estimation, 2013 – 2018
9.2.1.4. Market Forecast, 2019 – 2027
9.2.1.5. Compound Annual Growth Rate (CAGR)
9.2.1.6. Regional Bifurcation
9.2.1.6.1. North America
9.2.1.6.1.1. Market Estimation, 2013 – 2018
9.2.1.6.1.2. Market Forecast, 2019 – 2027
9.2.1.6.2. Europe
9.2.1.6.2.1. Market Estimation, 2013 – 2018
9.2.1.6.2.2. Market Forecast, 2019 – 2027
9.2.1.6.3. Asia Pacific
9.2.1.6.3.1. Market Estimation, 2013 – 2018
9.2.1.6.3.2. Market Forecast, 2019 – 2027
9.2.1.6.4. Middle East and Africa
9.2.1.6.4.1. Market Estimation, 2013 – 2018
9.2.1.6.4.2. Market Forecast, 2019 – 2027
9.2.1.6.5. Latin America
9.2.1.6.5.1. Market Estimation, 2013 – 2018
9.2.1.6.5.2.
Market Forecast, 2019 –
2027
9.2.2. Diagnostic Devices
9.2.2.1. Definition
9.2.2.2. Market Penetration, 2018
9.2.2.3. Market Estimation, 2013 – 2018
9.2.2.4. Market Forecast, 2019 – 2027
9.2.2.5. Compound Annual Growth Rate (CAGR)
9.2.2.6. Regional Bifurcation
9.2.2.6.1. North America
9.2.2.6.1.1. Market Estimation, 2013 – 2018
9.2.2.6.1.2. Market Forecast, 2019 – 2027
9.2.2.6.2. Europe
9.2.2.6.2.1. Market Estimation, 2013 – 2018
9.2.2.6.2.2. Market Forecast, 2019 – 2027
9.2.2.6.3. Asia Pacific
9.2.2.6.3.1. Market Estimation, 2013 – 2018
9.2.2.6.3.2. Market Forecast, 2019 – 2027
9.2.2.6.4. Middle East and Africa
9.2.2.6.4.1. Market Estimation, 2013 – 2018
9.2.2.6.4.2. Market Forecast, 2019 – 2027
9.2.2.6.5. Latin America
9.2.2.6.5.1. Market Estimation, 2013 – 2018
9.2.2.6.5.2.
Market Forecast, 2019 –
2027
9.2.3. Insulin Delivery Devices
9.2.3.1. Definition
9.2.3.2. Market Penetration, 2018
9.2.3.3. Market Estimation, 2013 – 2018
9.2.3.4. Market Forecast, 2019 – 2027
9.2.3.5. Compound Annual Growth Rate (CAGR)
9.2.3.6. Regional Bifurcation
9.2.3.6.1. North America
9.2.3.6.1.1. Market Estimation, 2013 – 2018
9.2.3.6.1.2. Market Forecast, 2019 – 2027
9.2.3.6.2. Europe
9.2.3.6.2.1. Market Estimation, 2013 – 2018
9.2.3.6.2.2. Market Forecast, 2019 – 2027
9.2.3.6.3. Asia Pacific
9.2.3.6.3.1. Market Estimation, 2013 – 2018
9.2.3.6.3.2. Market Forecast, 2019 – 2027
9.2.3.6.4. Middle East and Africa
9.2.3.6.4.1. Market Estimation, 2013 – 2018
9.2.3.6.4.2. Market Forecast, 2019 – 2027
9.2.3.6.5. Latin America
9.2.3.6.5.1. Market Estimation, 2013 – 2018
9.2.3.6.5.2.
Market Forecast, 2019 –
2027
9.2.4. Others
9.2.4.1. Definition
9.2.4.2. Market Penetration, 2018
9.2.4.3. Market Estimation, 2013 – 2018
9.2.4.4. Market Forecast, 2019 – 2027
9.2.4.5. Compound Annual Growth Rate (CAGR)
9.2.4.6. Regional Bifurcation
9.2.4.6.1. North America
9.2.4.6.1.1. Market Estimation, 2013 – 2018
9.2.4.6.1.2. Market Forecast, 2019 – 2027
9.2.4.6.2. Europe
9.2.4.6.2.1. Market Estimation, 2013 – 2018
9.2.4.6.2.2. Market Forecast, 2019 – 2027
9.2.4.6.3. Asia Pacific
9.2.4.6.3.1. Market Estimation, 2013 – 2018
9.2.4.6.3.2. Market Forecast, 2019 – 2027
9.2.4.6.4. Middle East and Africa
9.2.4.6.4.1. Market Estimation, 2013 – 2018
9.2.4.6.4.2. Market Forecast, 2019 – 2027
9.2.4.6.5. Latin America
9.2.4.6.5.1. Market Estimation, 2013 – 2018
9.2.4.6.5.2.
Market Forecast, 2019 –
2027
9.3. Key Segment for Channeling Investments
9.3.1. By Device
10. Global
Artificial Intelligence in Diabetes Management Market Analysis and Forecasts,
2019 – 2027
10.1. Overview
10.2. Global Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
10.2.1. Automated Retinal Screening
10.2.1.1. Definition
10.2.1.2. Market Penetration, 2018
10.2.1.3. Market Estimation, 2013 – 2018
10.2.1.4. Market Forecast, 2019 – 2027
10.2.1.5. Compound Annual Growth Rate (CAGR)
10.2.1.6. Regional Bifurcation
10.2.1.6.1. North America
10.2.1.6.1.1. Market
Estimation, 2013 – 2018
10.2.1.6.1.2. Market
Forecast, 2019 – 2027
10.2.1.6.2. Europe
10.2.1.6.2.1. Market
Estimation, 2013 – 2018
10.2.1.6.2.2. Market
Forecast, 2019 – 2027
10.2.1.6.3. Asia Pacific
10.2.1.6.3.1. Market
Estimation, 2013 – 2018
10.2.1.6.3.2. Market
Forecast, 2019 – 2027
10.2.1.6.4. Middle East and Africa
10.2.1.6.4.1. Market
Estimation, 2013 – 2018
10.2.1.6.4.2. Market
Forecast, 2019 – 2027
10.2.1.6.5. Latin America
10.2.1.6.5.1. Market
Estimation, 2013 – 2018
10.2.1.6.5.2. Market Forecast, 2019 – 2027
10.2.2. Clinical Decision Support
10.2.2.1. Definition
10.2.2.2. Market Penetration, 2018
10.2.2.3. Market Estimation, 2013 – 2018
10.2.2.4. Market Forecast, 2019 – 2027
10.2.2.5. Compound Annual Growth Rate (CAGR)
10.2.2.6. Regional Bifurcation
10.2.2.6.1. North America
10.2.2.6.1.1. Market
Estimation, 2013 – 2018
10.2.2.6.1.2. Market
Forecast, 2019 – 2027
10.2.2.6.2. Europe
10.2.2.6.2.1. Market
Estimation, 2013 – 2018
10.2.2.6.2.2. Market
Forecast, 2019 – 2027
10.2.2.6.3. Asia Pacific
10.2.2.6.3.1. Market
Estimation, 2013 – 2018
10.2.2.6.3.2. Market
Forecast, 2019 – 2027
10.2.2.6.4. Middle East and Africa
10.2.2.6.4.1. Market
Estimation, 2013 – 2018
10.2.2.6.4.2. Market
Forecast, 2019 – 2027
10.2.2.6.5. Latin America
10.2.2.6.5.1. Market
Estimation, 2013 – 2018
10.2.2.6.5.2. Market Forecast, 2019 – 2027
10.2.3. Predictive Population Risk Stratification
10.2.3.1. Definition
10.2.3.2. Market Penetration, 2018
10.2.3.3. Market Estimation, 2013 – 2018
10.2.3.4. Market Forecast, 2019 – 2027
10.2.3.5. Compound Annual Growth Rate (CAGR)
10.2.3.6. Regional Bifurcation
10.2.3.6.1. North America
10.2.3.6.1.1. Market
Estimation, 2013 – 2018
10.2.3.6.1.2. Market
Forecast, 2019 – 2027
10.2.3.6.2. Europe
10.2.3.6.2.1. Market
Estimation, 2013 – 2018
10.2.3.6.2.2. Market
Forecast, 2019 – 2027
10.2.3.6.3. Asia Pacific
10.2.3.6.3.1. Market
Estimation, 2013 – 2018
10.2.3.6.3.2. Market
Forecast, 2019 – 2027
10.2.3.6.4. Middle East and Africa
10.2.3.6.4.1. Market
Estimation, 2013 – 2018
10.2.3.6.4.2. Market
Forecast, 2019 – 2027
10.2.3.6.5. Latin America
10.2.3.6.5.1. Market
Estimation, 2013 – 2018
10.2.3.6.5.2. Market Forecast, 2019 – 2027
10.2.4. Patient Self-Management Tools
10.2.4.1. Definition
10.2.4.2. Market Penetration, 2018
10.2.4.3. Market Estimation, 2013 – 2018
10.2.4.4. Market Forecast, 2019 – 2027
10.2.4.5. Compound Annual Growth Rate (CAGR)
10.2.4.6. Regional Bifurcation
10.2.4.6.1. North America
10.2.4.6.1.1. Market
Estimation, 2013 – 2018
10.2.4.6.1.2. Market
Forecast, 2019 – 2027
10.2.4.6.2. Europe
10.2.4.6.2.1. Market
Estimation, 2013 – 2018
10.2.4.6.2.2. Market
Forecast, 2019 – 2027
10.2.4.6.3. Asia Pacific
10.2.4.6.3.1. Market
Estimation, 2013 – 2018
10.2.4.6.3.2. Market
Forecast, 2019 – 2027
10.2.4.6.4. Middle East and Africa
10.2.4.6.4.1. Market
Estimation, 2013 – 2018
10.2.4.6.4.2. Market
Forecast, 2019 – 2027
10.2.4.6.5. Latin America
10.2.4.6.5.1. Market
Estimation, 2013 – 2018
10.2.4.6.5.2. Market Forecast, 2019 – 2027
10.2.5. Others
10.2.5.1. Definition
10.2.5.2. Market Penetration, 2018
10.2.5.3. Market Estimation, 2013 – 2018
10.2.5.4. Market Forecast, 2019 – 2027
10.2.5.5. Compound Annual Growth Rate (CAGR)
10.2.5.6. Regional Bifurcation
10.2.5.6.1. North America
10.2.5.6.1.1. Market
Estimation, 2013 – 2018
10.2.5.6.1.2. Market
Forecast, 2019 – 2027
10.2.5.6.2. Europe
10.2.5.6.2.1. Market
Estimation, 2013 – 2018
10.2.5.6.2.2. Market
Forecast, 2019 – 2027
10.2.5.6.3. Asia Pacific
10.2.5.6.3.1. Market
Estimation, 2013 – 2018
10.2.5.6.3.2. Market
Forecast, 2019 – 2027
10.2.5.6.4. Middle East and Africa
10.2.5.6.4.1. Market
Estimation, 2013 – 2018
10.2.5.6.4.2. Market
Forecast, 2019 – 2027
10.2.5.6.5. Latin America
10.2.5.6.5.1. Market
Estimation, 2013 – 2018
10.2.5.6.5.2. Market Forecast, 2019 – 2027
10.3. Key Segment for Channeling Investments
10.3.1. By Application
11. Global
Artificial Intelligence in Diabetes Management Market Analysis and Forecasts,
2019 – 2027
11.1. Overview
11.2. Global Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
11.2.1. Hospitals and Clinics
11.2.1.1. Definition
11.2.1.2. Market Penetration, 2018
11.2.1.3. Market Estimation, 2013 – 2018
11.2.1.4. Market Forecast, 2019 – 2027
11.2.1.5. Compound Annual Growth Rate (CAGR)
11.2.1.6. Regional Bifurcation
11.2.1.6.1. North America
11.2.1.6.1.1. Market
Estimation, 2013 – 2018
11.2.1.6.1.2. Market
Forecast, 2019 – 2027
11.2.1.6.2. Europe
11.2.1.6.2.1. Market
Estimation, 2013 – 2018
11.2.1.6.2.2. Market
Forecast, 2019 – 2027
11.2.1.6.3. Asia Pacific
11.2.1.6.3.1. Market
Estimation, 2013 – 2018
11.2.1.6.3.2. Market
Forecast, 2019 – 2027
11.2.1.6.4. Middle East and Africa
11.2.1.6.4.1. Market
Estimation, 2013 – 2018
11.2.1.6.4.2. Market
Forecast, 2019 – 2027
11.2.1.6.5. Latin America
11.2.1.6.5.1. Market
Estimation, 2013 – 2018
11.2.1.6.5.2. Market Forecast, 2019 – 2027
11.2.2. Diabetes Management Centers
11.2.2.1. Definition
11.2.2.2. Market Penetration, 2018
11.2.2.3. Market Estimation, 2013 – 2018
11.2.2.4. Market Forecast, 2019 – 2027
11.2.2.5. Compound Annual Growth Rate (CAGR)
11.2.2.6. Regional Bifurcation
11.2.2.6.1. North America
11.2.2.6.1.1. Market
Estimation, 2013 – 2018
11.2.2.6.1.2. Market
Forecast, 2019 – 2027
11.2.2.6.2. Europe
11.2.2.6.2.1. Market
Estimation, 2013 – 2018
11.2.2.6.2.2. Market
Forecast, 2019 – 2027
11.2.2.6.3. Asia Pacific
11.2.2.6.3.1. Market
Estimation, 2013 – 2018
11.2.2.6.3.2. Market
Forecast, 2019 – 2027
11.2.2.6.4. Middle East and Africa
11.2.2.6.4.1. Market
Estimation, 2013 – 2018
11.2.2.6.4.2. Market
Forecast, 2019 – 2027
11.2.2.6.5. Latin America
11.2.2.6.5.1. Market
Estimation, 2013 – 2018
11.2.2.6.5.2. Market Forecast, 2019 – 2027
11.2.3. Research Institutes
11.2.3.1. Definition
11.2.3.2. Market Penetration, 2018
11.2.3.3. Market Estimation, 2013 – 2018
11.2.3.4. Market Forecast, 2019 – 2027
11.2.3.5. Compound Annual Growth Rate (CAGR)
11.2.3.6. Regional Bifurcation
11.2.3.6.1. North America
11.2.3.6.1.1. Market
Estimation, 2013 – 2018
11.2.3.6.1.2. Market
Forecast, 2019 – 2027
11.2.3.6.2. Europe
11.2.3.6.2.1. Market
Estimation, 2013 – 2018
11.2.3.6.2.2. Market
Forecast, 2019 – 2027
11.2.3.6.3. Asia Pacific
11.2.3.6.3.1. Market
Estimation, 2013 – 2018
11.2.3.6.3.2. Market
Forecast, 2019 – 2027
11.2.3.6.4. Middle East and Africa
11.2.3.6.4.1. Market
Estimation, 2013 – 2018
11.2.3.6.4.2. Market
Forecast, 2019 – 2027
11.2.3.6.5. Latin America
11.2.3.6.5.1. Market
Estimation, 2013 – 2018
11.2.3.6.5.2. Market Forecast, 2019 – 2027
11.3. Key Segment for Channeling Investments
11.3.1. By End User
12. North
America Artificial Intelligence in Diabetes Management Market Analysis and
Forecasts, 2019 – 2027
12.1. Overview
12.1.1. North America Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn)
12.2. North America Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Techniques
12.2.1. Cased Based Reasoning
12.2.2. Machine Learning & Deep Learning
12.2.3. Artificial Neural Network
12.2.4. Others
12.3. North America Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Device
12.3.1. Glucose Monitoring Devices
12.3.2. Diagnostic Devices
12.3.3. Insulin Delivery Devices
12.3.4. Others
12.4. North America Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Application
12.4.1. Automated Retinal Screening
12.4.2. Clinical Decision Support
12.4.3. Predictive Population Risk Stratification
12.4.4. Patient Self-Management Tools
12.4.5. Others
12.5. North America Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By End User
12.5.1. Hospitals and Clinics
12.5.2. Diabetes Management Centers
12.5.3. Research Institutes
12.6. North America Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Country
12.6.1. U.S.
12.6.1.1. U.S. Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
12.6.1.1.1. Cased Based Reasoning
12.6.1.1.2. Machine Learning & Deep Learning
12.6.1.1.3. Artificial Neural Network
12.6.1.1.4. Others
12.6.1.2. U.S. Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
12.6.1.2.1. Glucose Monitoring Devices
12.6.1.2.2. Diagnostic Devices
12.6.1.2.3. Insulin Delivery Devices
12.6.1.2.4. Others
12.6.1.3. U.S. Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
12.6.1.3.1. Automated Retinal Screening
12.6.1.3.2. Clinical Decision Support
12.6.1.3.3. Predictive Population Risk Stratification
12.6.1.3.4. Patient Self-Management Tools
12.6.1.3.5. Others
12.6.1.4. U.S. Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
12.6.1.4.1. Hospitals and Clinics
12.6.1.4.2. Diabetes Management Centers
12.6.1.4.3.
Research Institutes
12.6.2. Canada
12.6.2.1. Canada Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
12.6.2.1.1. Cased Based Reasoning
12.6.2.1.2. Machine Learning & Deep Learning
12.6.2.1.3. Artificial Neural Network
12.6.2.1.4. Others
12.6.2.2. Canada Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
12.6.2.2.1. Glucose Monitoring Devices
12.6.2.2.2. Diagnostic Devices
12.6.2.2.3. Insulin Delivery Devices
12.6.2.2.4. Others
12.6.2.3. Canada Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
12.6.2.3.1. Automated Retinal Screening
12.6.2.3.2. Clinical Decision Support
12.6.2.3.3. Predictive Population Risk Stratification
12.6.2.3.4. Patient Self-Management Tools
12.6.2.3.5. Others
12.6.2.4. Canada Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
12.6.2.4.1. Hospitals and Clinics
12.6.2.4.2. Diabetes Management Centers
12.6.2.4.3.
Research Institutes
12.6.3. Mexico
12.6.3.1. Mexico Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
12.6.3.1.1. Cased Based Reasoning
12.6.3.1.2. Machine Learning & Deep Learning
12.6.3.1.3. Artificial Neural Network
12.6.3.1.4. Others
12.6.3.2. Mexico Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
12.6.3.2.1. Glucose Monitoring Devices
12.6.3.2.2. Diagnostic Devices
12.6.3.2.3. Insulin Delivery Devices
12.6.3.2.4. Others
12.6.3.3. Mexico Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
12.6.3.3.1. Automated Retinal Screening
12.6.3.3.2. Clinical Decision Support
12.6.3.3.3. Predictive Population Risk Stratification
12.6.3.3.4. Patient Self-Management Tools
12.6.3.3.5. Others
12.6.3.4. Mexico Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
12.6.3.4.1. Hospitals and Clinics
12.6.3.4.2. Diabetes Management Centers
12.6.3.4.3. Research Institutes
12.6.4. Rest of North America
12.6.4.1. Rest of North America Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Techniques
12.6.4.1.1. Cased Based Reasoning
12.6.4.1.2. Machine Learning & Deep Learning
12.6.4.1.3. Artificial Neural Network
12.6.4.1.4. Others
12.6.4.2. Rest of North America Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Device
12.6.4.2.1. Glucose Monitoring Devices
12.6.4.2.2. Diagnostic Devices
12.6.4.2.3. Insulin Delivery Devices
12.6.4.2.4. Others
12.6.4.3. Rest of North America Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Application
12.6.4.3.1. Automated Retinal Screening
12.6.4.3.2. Clinical Decision Support
12.6.4.3.3. Predictive Population Risk Stratification
12.6.4.3.4. Patient Self-Management Tools
12.6.4.3.5. Others
12.6.4.4. Rest of North America Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By End User
12.6.4.4.1. Hospitals and Clinics
12.6.4.4.2. Diabetes Management Centers
12.6.4.4.3. Research Institutes
12.7. Key Segment for Channeling Investments
12.7.1. By Country
12.7.2. By Techniques
12.7.3. By Device
12.7.4. By Application
12.7.5. By End User
13. Europe
Artificial Intelligence in Diabetes Management Market Analysis and Forecasts,
2019 – 2027
13.1. Overview
13.1.1. Europe Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn)
13.2. Europe Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
13.2.1. Cased Based Reasoning
13.2.2. Machine Learning & Deep Learning
13.2.3. Artificial Neural Network
13.2.4. Others
13.3. Europe Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
13.3.1. Glucose Monitoring Devices
13.3.2. Diagnostic Devices
13.3.3. Insulin Delivery Devices
13.3.4. Others
13.4. Europe Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
13.4.1. Automated Retinal Screening
13.4.2. Clinical Decision Support
13.4.3. Predictive Population Risk Stratification
13.4.4. Patient Self-Management Tools
13.4.5. Others
13.5. Europe Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
13.5.1. Hospitals and Clinics
13.5.2. Diabetes Management Centers
13.5.3. Research Institutes
13.6. Europe Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Country
13.6.1. France
13.6.1.1. France Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
13.6.1.1.1. Cased Based Reasoning
13.6.1.1.2. Machine Learning & Deep Learning
13.6.1.1.3. Artificial Neural Network
13.6.1.1.4. Others
13.6.1.2. France Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
13.6.1.2.1. Glucose Monitoring Devices
13.6.1.2.2. Diagnostic Devices
13.6.1.2.3. Insulin Delivery Devices
13.6.1.2.4. Others
13.6.1.3. France Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
13.6.1.3.1. Automated Retinal Screening
13.6.1.3.2. Clinical Decision Support
13.6.1.3.3. Predictive Population Risk Stratification
13.6.1.3.4. Patient Self-Management Tools
13.6.1.3.5. Others
13.6.1.4. France Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
13.6.1.4.1. Hospitals and Clinics
13.6.1.4.2. Diabetes Management Centers
13.6.1.4.3. Research Institutes
13.6.2. The UK
13.6.2.1. The UK Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
13.6.2.1.1. Cased Based Reasoning
13.6.2.1.2. Machine Learning & Deep Learning
13.6.2.1.3. Artificial Neural Network
13.6.2.1.4. Others
13.6.2.2. The UK Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
13.6.2.2.1. Glucose Monitoring Devices
13.6.2.2.2. Diagnostic Devices
13.6.2.2.3. Insulin Delivery Devices
13.6.2.2.4. Others
13.6.2.3. The UK Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
13.6.2.3.1. Automated Retinal Screening
13.6.2.3.2. Clinical Decision Support
13.6.2.3.3. Predictive Population Risk Stratification
13.6.2.3.4. Patient Self-Management Tools
13.6.2.3.5. Others
13.6.2.4. The UK Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
13.6.2.4.1. Hospitals and Clinics
13.6.2.4.2. Diabetes Management Centers
13.6.2.4.3. Research Institutes
13.6.3. Spain
13.6.3.1. Spain Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
13.6.3.1.1. Cased Based Reasoning
13.6.3.1.2. Machine Learning & Deep Learning
13.6.3.1.3. Artificial Neural Network
13.6.3.1.4. Others
13.6.3.2. Spain Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
13.6.3.2.1. Glucose Monitoring Devices
13.6.3.2.2. Diagnostic Devices
13.6.3.2.3. Insulin Delivery Devices
13.6.3.2.4. Others
13.6.3.3. Spain Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
13.6.3.3.1. Automated Retinal Screening
13.6.3.3.2. Clinical Decision Support
13.6.3.3.3. Predictive Population Risk Stratification
13.6.3.3.4. Patient Self-Management Tools
13.6.3.3.5. Others
13.6.3.4. Spain Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
13.6.3.4.1. Hospitals and Clinics
13.6.3.4.2. Diabetes Management Centers
13.6.3.4.3. Research Institutes
13.6.4. Germany
13.6.4.1. Germany Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
13.6.4.1.1. Cased Based Reasoning
13.6.4.1.2. Machine Learning & Deep Learning
13.6.4.1.3. Artificial Neural Network
13.6.4.1.4. Others
13.6.4.2. Germany Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
13.6.4.2.1. Glucose Monitoring Devices
13.6.4.2.2. Diagnostic Devices
13.6.4.2.3. Insulin Delivery Devices
13.6.4.2.4. Others
13.6.4.3. Germany Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
13.6.4.3.1. Automated Retinal Screening
13.6.4.3.2. Clinical Decision Support
13.6.4.3.3. Predictive Population Risk Stratification
13.6.4.3.4. Patient Self-Management Tools
13.6.4.3.5. Others
13.6.4.4. Germany Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
13.6.4.4.1. Hospitals and Clinics
13.6.4.4.2. Diabetes Management Centers
13.6.4.4.3. Research Institutes
13.6.5. Italy
13.6.5.1. Italy Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
13.6.5.1.1. Cased Based Reasoning
13.6.5.1.2. Machine Learning & Deep Learning
13.6.5.1.3. Artificial Neural Network
13.6.5.1.4. Others
13.6.5.2. Italy Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
13.6.5.2.1. Glucose Monitoring Devices
13.6.5.2.2. Diagnostic Devices
13.6.5.2.3. Insulin Delivery Devices
13.6.5.2.4. Others
13.6.5.3. Italy Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
13.6.5.3.1. Automated Retinal Screening
13.6.5.3.2. Clinical Decision Support
13.6.5.3.3. Predictive Population Risk Stratification
13.6.5.3.4. Patient Self-Management Tools
13.6.5.3.5. Others
13.6.5.4. Italy Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
13.6.5.4.1. Hospitals and Clinics
13.6.5.4.2. Diabetes Management Centers
13.6.5.4.3.
Research Institutes
13.6.6. Nordic Countries
13.6.6.1. Nordic Countries Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Techniques
13.6.6.1.1. Cased Based Reasoning
13.6.6.1.2. Machine Learning & Deep Learning
13.6.6.1.3. Artificial Neural Network
13.6.6.1.4. Others
13.6.6.2. Nordic Countries Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Device
13.6.6.2.1. Glucose Monitoring Devices
13.6.6.2.2. Diagnostic Devices
13.6.6.2.3. Insulin Delivery Devices
13.6.6.2.4. Others
13.6.6.3. Nordic Countries Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Application
13.6.6.3.1. Automated Retinal Screening
13.6.6.3.2. Clinical Decision Support
13.6.6.3.3. Predictive Population Risk Stratification
13.6.6.3.4. Patient Self-Management Tools
13.6.6.3.5. Others
13.6.6.4. Nordic Countries Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By End User
13.6.6.4.1. Hospitals and Clinics
13.6.6.4.2. Diabetes Management Centers
13.6.6.4.3.
Research Institutes
13.6.6.5. Nordic Countries Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Country
13.6.6.5.1.
Denmark
13.6.6.5.2.
Finland
13.6.6.5.3.
Iceland
13.6.6.5.4.
Norway
13.6.6.5.5.
Sweden
13.6.6.5.6. Rest of Nordic
13.6.7. The Benelux Union
13.6.7.1. The Benelux Union Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Techniques
13.6.7.1.1. Cased Based Reasoning
13.6.7.1.2. Machine Learning & Deep Learning
13.6.7.1.3. Artificial Neural Network
13.6.7.1.4. Others
13.6.7.2. The Benelux Union Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Device
13.6.7.2.1. Glucose Monitoring Devices
13.6.7.2.2. Diagnostic Devices
13.6.7.2.3. Insulin Delivery Devices
13.6.7.2.4. Others
13.6.7.3. The Benelux Union Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Application
13.6.7.3.1. Automated Retinal Screening
13.6.7.3.2. Clinical Decision Support
13.6.7.3.3. Predictive Population Risk Stratification
13.6.7.3.4. Patient Self-Management Tools
13.6.7.3.5. Others
13.6.7.4. The Benelux Union Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By End User
13.6.7.4.1. Hospitals and Clinics
13.6.7.4.2. Diabetes Management Centers
13.6.7.4.3.
Research Institutes
13.6.7.5. The Benelux Union Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Country
13.6.7.5.1. Belgium
13.6.7.5.2. the
Netherlands
13.6.7.5.3. Luxemburg
13.6.8. Rest of Europe
13.6.8.1. Rest of Europe Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Techniques
13.6.8.1.1. Cased Based Reasoning
13.6.8.1.2. Machine Learning & Deep Learning
13.6.8.1.3. Artificial Neural Network
13.6.8.1.4. Others
13.6.8.2. Rest of Europe Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Device
13.6.8.2.1. Glucose Monitoring Devices
13.6.8.2.2. Diagnostic Devices
13.6.8.2.3. Insulin Delivery Devices
13.6.8.2.4. Others
13.6.8.3. Rest of Europe Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Application
13.6.8.3.1. Automated Retinal Screening
13.6.8.3.2. Clinical Decision Support
13.6.8.3.3. Predictive Population Risk Stratification
13.6.8.3.4. Patient Self-Management Tools
13.6.8.3.5. Others
13.6.8.4. Rest of Europe Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By End User
13.6.8.4.1. Hospitals and Clinics
13.6.8.4.2. Diabetes Management Centers
13.6.8.4.3. Research Institutes
13.7. Key Segment for Channeling Investments
13.7.1. By Country
13.7.2. By Techniques
13.7.3. By Device
13.7.4. By Application
13.7.5. By End User
14. Asia
Pacific Artificial Intelligence in
Diabetes Management Market Analysis and Forecasts, 2019 – 2027
14.1. Overview
14.1.1. Asia Pacific Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn)
14.2. Asia Pacific Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Techniques
14.2.1. Cased Based Reasoning
14.2.2. Machine Learning & Deep Learning
14.2.3. Artificial Neural Network
14.2.4. Others
14.3. Asia Pacific Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Device
14.3.1. Glucose Monitoring Devices
14.3.2. Diagnostic Devices
14.3.3. Insulin Delivery Devices
14.3.4. Others
14.4. Asia Pacific Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Application
14.4.1. Automated Retinal Screening
14.4.2. Clinical Decision Support
14.4.3. Predictive Population Risk Stratification
14.4.4. Patient Self-Management Tools
14.4.5. Others
14.5. Asia Pacific Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By End User
14.5.1. Hospitals and Clinics
14.5.2. Diabetes Management Centers
14.5.3. Research Institutes
14.6. Asia Pacific Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Country
14.6.1. China
14.6.1.1. China Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
14.6.1.1.1. Cased Based Reasoning
14.6.1.1.2. Machine Learning & Deep Learning
14.6.1.1.3. Artificial Neural Network
14.6.1.1.4. Others
14.6.1.2. China Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
14.6.1.2.1. Glucose Monitoring Devices
14.6.1.2.2. Diagnostic Devices
14.6.1.2.3. Insulin Delivery Devices
14.6.1.2.4. Others
14.6.1.3. China Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
14.6.1.3.1. Automated Retinal Screening
14.6.1.3.2. Clinical Decision Support
14.6.1.3.3. Predictive Population Risk Stratification
14.6.1.3.4. Patient Self-Management Tools
14.6.1.3.5. Others
14.6.1.4. China Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
14.6.1.4.1. Hospitals and Clinics
14.6.1.4.2. Diabetes Management Centers
14.6.1.4.3. Research Institutes
14.6.2. Japan
14.6.2.1. Japan Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
14.6.2.1.1. Cased Based Reasoning
14.6.2.1.2. Machine Learning & Deep Learning
14.6.2.1.3. Artificial Neural Network
14.6.2.1.4. Others
14.6.2.2. Japan Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
14.6.2.2.1. Glucose Monitoring Devices
14.6.2.2.2. Diagnostic Devices
14.6.2.2.3. Insulin Delivery Devices
14.6.2.2.4. Others
14.6.2.3. Japan Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
14.6.2.3.1. Automated Retinal Screening
14.6.2.3.2. Clinical Decision Support
14.6.2.3.3. Predictive Population Risk Stratification
14.6.2.3.4. Patient Self-Management Tools
14.6.2.3.5. Others
14.6.2.4. Japan Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
14.6.2.4.1. Hospitals and Clinics
14.6.2.4.2. Diabetes Management Centers
14.6.2.4.3. Research Institutes
14.6.3. India
14.6.3.1. India Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
14.6.3.1.1. Cased Based Reasoning
14.6.3.1.2. Machine Learning & Deep Learning
14.6.3.1.3. Artificial Neural Network
14.6.3.1.4. Others
14.6.3.2. India Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
14.6.3.2.1. Glucose Monitoring Devices
14.6.3.2.2. Diagnostic Devices
14.6.3.2.3. Insulin Delivery Devices
14.6.3.2.4. Others
14.6.3.3. India Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
14.6.3.3.1. Automated Retinal Screening
14.6.3.3.2. Clinical Decision Support
14.6.3.3.3. Predictive Population Risk Stratification
14.6.3.3.4. Patient Self-Management Tools
14.6.3.3.5. Others
14.6.3.4. India Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
14.6.3.4.1. Hospitals and Clinics
14.6.3.4.2. Diabetes Management Centers
14.6.3.4.3. Research Institutes
14.6.4. Australia
14.6.4.1. Australia Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Techniques
14.6.4.1.1. Cased Based Reasoning
14.6.4.1.2. Machine Learning & Deep Learning
14.6.4.1.3. Artificial Neural Network
14.6.4.1.4. Others
14.6.4.2. Australia Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Device
14.6.4.2.1. Glucose Monitoring Devices
14.6.4.2.2. Diagnostic Devices
14.6.4.2.3. Insulin Delivery Devices
14.6.4.2.4. Others
14.6.4.3. Australia Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Application
14.6.4.3.1. Automated Retinal Screening
14.6.4.3.2. Clinical Decision Support
14.6.4.3.3. Predictive Population Risk Stratification
14.6.4.3.4. Patient Self-Management Tools
14.6.4.3.5. Others
14.6.4.4. Australia Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By End User
14.6.4.4.1. Hospitals and Clinics
14.6.4.4.2. Diabetes Management Centers
14.6.4.4.3.
Research Institutes
14.6.5. New Zealand
14.6.5.1. New Zealand Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Techniques
14.6.5.1.1. Cased Based Reasoning
14.6.5.1.2. Machine Learning & Deep Learning
14.6.5.1.3. Artificial Neural Network
14.6.5.1.4. Others
14.6.5.2. New Zealand Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Device
14.6.5.2.1. Glucose Monitoring Devices
14.6.5.2.2. Diagnostic Devices
14.6.5.2.3. Insulin Delivery Devices
14.6.5.2.4. Others
14.6.5.3. New Zealand Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Application
14.6.5.3.1. Automated Retinal Screening
14.6.5.3.2. Clinical Decision Support
14.6.5.3.3. Predictive Population Risk Stratification
14.6.5.3.4. Patient Self-Management Tools
14.6.5.3.5. Others
14.6.5.4. New Zealand Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By End User
14.6.5.4.1. Hospitals and Clinics
14.6.5.4.2. Diabetes Management Centers
14.6.5.4.3.
Research Institutes
14.6.6. Southeast Asia
14.6.6.1. Southeast Asia Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Techniques
14.6.6.1.1. Cased Based Reasoning
14.6.6.1.2. Machine Learning & Deep Learning
14.6.6.1.3. Artificial Neural Network
14.6.6.1.4. Others
14.6.6.2. Southeast Asia Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Device
14.6.6.2.1. Glucose Monitoring Devices
14.6.6.2.2. Diagnostic Devices
14.6.6.2.3. Insulin Delivery Devices
14.6.6.2.4. Others
14.6.6.3. Southeast Asia Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Application
14.6.6.3.1. Automated Retinal Screening
14.6.6.3.2. Clinical Decision Support
14.6.6.3.3. Predictive Population Risk Stratification
14.6.6.3.4. Patient Self-Management Tools
14.6.6.3.5. Others
14.6.6.4. Southeast Asia Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By End User
14.6.6.4.1. Hospitals and Clinics
14.6.6.4.2. Diabetes Management Centers
14.6.6.4.3. Research Institutes
14.6.7. Rest of Asia Pacific
14.6.7.1. Rest of Asia Pacific Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Techniques
14.6.7.1.1. Cased Based Reasoning
14.6.7.1.2. Machine Learning & Deep Learning
14.6.7.1.3. Artificial Neural Network
14.6.7.1.4. Others
14.6.7.2. Rest of Asia Pacific Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Device
14.6.7.2.1. Glucose Monitoring Devices
14.6.7.2.2. Diagnostic Devices
14.6.7.2.3. Insulin Delivery Devices
14.6.7.2.4. Others
14.6.7.3. Rest of Asia Pacific Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Application
14.6.7.3.1. Automated Retinal Screening
14.6.7.3.2. Clinical Decision Support
14.6.7.3.3. Predictive Population Risk Stratification
14.6.7.3.4. Patient Self-Management Tools
14.6.7.3.5. Others
14.6.7.4. Rest of Asia Pacific Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By End User
14.6.7.4.1. Hospitals and Clinics
14.6.7.4.2. Diabetes Management Centers
14.6.7.4.3. Research Institutes
14.7. Key Segment for Channeling Investments
14.7.1. By Country
14.7.2. By Techniques
14.7.3. By Device
14.7.4. By Application
14.7.5. By End User
15. Middle
East and Africa Artificial Intelligence
in Diabetes Management Market Analysis and Forecasts, 2019 – 2027
15.1. Overview
15.1.1. Middle East and Africa Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn)
15.2. Middle East and Africa Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Techniques
15.2.1. Cased Based Reasoning
15.2.2. Machine Learning & Deep Learning
15.2.3. Artificial Neural Network
15.2.4. Others
15.3. Middle East and Africa Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Device
15.3.1. Glucose Monitoring Devices
15.3.2. Diagnostic Devices
15.3.3. Insulin Delivery Devices
15.3.4. Others
15.4. Middle East and Africa Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Application
15.4.1. Automated Retinal Screening
15.4.2. Clinical Decision Support
15.4.3. Predictive Population Risk Stratification
15.4.4. Patient Self-Management Tools
15.4.5. Others
15.5. Middle East and Africa Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By End User
15.5.1. Hospitals and Clinics
15.5.2. Diabetes Management Centers
15.5.3. Research Institutes
15.6. Middle East and Africa Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Country
15.6.1. Saudi Arabia
15.6.1.1. Saudi Arabia Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Techniques
15.6.1.1.1. Cased Based Reasoning
15.6.1.1.2. Machine Learning & Deep Learning
15.6.1.1.3. Artificial Neural Network
15.6.1.1.4. Others
15.6.1.2. Saudi Arabia Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Device
15.6.1.2.1. Glucose Monitoring Devices
15.6.1.2.2. Diagnostic Devices
15.6.1.2.3. Insulin Delivery Devices
15.6.1.2.4. Others
15.6.1.3. Saudi Arabia Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Application
15.6.1.3.1. Automated Retinal Screening
15.6.1.3.2. Clinical Decision Support
15.6.1.3.3. Predictive Population Risk Stratification
15.6.1.3.4. Patient Self-Management Tools
15.6.1.3.5. Others
15.6.1.4. Saudi Arabia Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By End User
15.6.1.4.1. Hospitals and Clinics
15.6.1.4.2. Diabetes Management Centers
15.6.1.4.3.
Research Institutes
15.6.2. Kuwait
15.6.2.1. Kuwait Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
15.6.2.1.1. Cased Based Reasoning
15.6.2.1.2. Machine Learning & Deep Learning
15.6.2.1.3. Artificial Neural Network
15.6.2.1.4. Others
15.6.2.2. Kuwait Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
15.6.2.2.1. Glucose Monitoring Devices
15.6.2.2.2. Diagnostic Devices
15.6.2.2.3. Insulin Delivery Devices
15.6.2.2.4. Others
15.6.2.3. Kuwait Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
15.6.2.3.1. Automated Retinal Screening
15.6.2.3.2. Clinical Decision Support
15.6.2.3.3. Predictive Population Risk Stratification
15.6.2.3.4. Patient Self-Management Tools
15.6.2.3.5. Others
15.6.2.4. Kuwait Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
15.6.2.4.1. Hospitals and Clinics
15.6.2.4.2. Diabetes Management Centers
15.6.2.4.3.
Research Institutes
15.6.3. UAE
15.6.3.1. UAE Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
15.6.3.1.1. Cased Based Reasoning
15.6.3.1.2. Machine Learning & Deep Learning
15.6.3.1.3. Artificial Neural Network
15.6.3.1.4. Others
15.6.3.2. UAE Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
15.6.3.2.1. Glucose Monitoring Devices
15.6.3.2.2. Diagnostic Devices
15.6.3.2.3. Insulin Delivery Devices
15.6.3.2.4. Others
15.6.3.3. UAE Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
15.6.3.3.1. Automated Retinal Screening
15.6.3.3.2. Clinical Decision Support
15.6.3.3.3. Predictive Population Risk Stratification
15.6.3.3.4. Patient Self-Management Tools
15.6.3.3.5. Others
15.6.3.4. UAE Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
15.6.3.4.1. Hospitals and Clinics
15.6.3.4.2. Diabetes Management Centers
15.6.3.4.3.
Research Institutes
15.6.3.4.4.
Research Institutes
15.6.4. Egypt
15.6.4.1. Egypt Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
15.6.4.1.1. Cased Based Reasoning
15.6.4.1.2. Machine Learning & Deep Learning
15.6.4.1.3. Artificial Neural Network
15.6.4.1.4. Others
15.6.4.2. Egypt Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
15.6.4.2.1. Glucose Monitoring Devices
15.6.4.2.2. Diagnostic Devices
15.6.4.2.3. Insulin Delivery Devices
15.6.4.2.4. Others
15.6.4.3. Egypt Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
15.6.4.3.1. Automated Retinal Screening
15.6.4.3.2. Clinical Decision Support
15.6.4.3.3. Predictive Population Risk Stratification
15.6.4.3.4. Patient Self-Management Tools
15.6.4.3.5. Others
15.6.4.4. Egypt Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
15.6.4.4.1. Hospitals and Clinics
15.6.4.4.2. Diabetes Management Centers
15.6.4.4.3. Research Institutes
15.6.5. South Africa
15.6.5.1. South Africa Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Techniques
15.6.5.1.1. Cased Based Reasoning
15.6.5.1.2. Machine Learning & Deep Learning
15.6.5.1.3. Artificial Neural Network
15.6.5.1.4. Others
15.6.5.2. South Africa Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Device
15.6.5.2.1. Glucose Monitoring Devices
15.6.5.2.2. Diagnostic Devices
15.6.5.2.3. Insulin Delivery Devices
15.6.5.2.4. Others
15.6.5.3. South Africa Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Application
15.6.5.3.1. Automated Retinal Screening
15.6.5.3.2. Clinical Decision Support
15.6.5.3.3. Predictive Population Risk Stratification
15.6.5.3.4. Patient Self-Management Tools
15.6.5.3.5. Others
15.6.5.4. South Africa Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By End User
15.6.5.4.1. Hospitals and Clinics
15.6.5.4.2. Diabetes Management Centers
15.6.5.4.3. Research Institutes
15.6.6. Rest of MEA
15.6.6.1. Rest of MEA Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Techniques
15.6.6.1.1. Cased Based Reasoning
15.6.6.1.2. Machine Learning & Deep Learning
15.6.6.1.3. Artificial Neural Network
15.6.6.1.4. Others
15.6.6.2. Rest of MEA Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Device
15.6.6.2.1. Glucose Monitoring Devices
15.6.6.2.2. Diagnostic Devices
15.6.6.2.3. Insulin Delivery Devices
15.6.6.2.4. Others
15.6.6.3. Rest of MEA Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Application
15.6.6.3.1. Automated Retinal Screening
15.6.6.3.2. Clinical Decision Support
15.6.6.3.3. Predictive Population Risk Stratification
15.6.6.3.4. Patient Self-Management Tools
15.6.6.3.5. Others
15.6.6.4. Rest of MEA Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By End User
15.6.6.4.1. Hospitals and Clinics
15.6.6.4.2. Diabetes Management Centers
15.6.6.4.3. Research Institutes
15.7. Key Segment for Channeling Investments
15.7.1. By Country
15.7.2. By Techniques
15.7.3. By Device
15.7.4. By Application
15.7.5. By End User
16. Latin
America Artificial Intelligence in Diabetes Management Market Analysis and
Forecasts, 2019 – 2027
16.1. Overview
16.1.1. Latin America Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn)
16.2. Latin America Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Techniques
16.2.1. Cased Based Reasoning
16.2.2. Machine Learning & Deep Learning
16.2.3. Artificial Neural Network
16.2.4. Others
16.3. Latin America Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Device
16.3.1. Glucose Monitoring Devices
16.3.2. Diagnostic Devices
16.3.3. Insulin Delivery Devices
16.3.4. Others
16.4. Latin America Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Application
16.4.1. Automated Retinal Screening
16.4.2. Clinical Decision Support
16.4.3. Predictive Population Risk Stratification
16.4.4. Patient Self-Management Tools
16.4.5. Others
16.5. Latin America Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By End User
16.5.1. Hospitals and Clinics
16.5.2. Diabetes Management Centers
16.5.3. Research Institutes
16.6. Latin America Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Country
16.6.1. Brazil
16.6.1.1. Brazil Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Techniques
16.6.1.1.1. Cased Based Reasoning
16.6.1.1.2. Machine Learning & Deep Learning
16.6.1.1.3. Artificial Neural Network
16.6.1.1.4. Others
16.6.1.2. Brazil Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Device
16.6.1.2.1. Glucose Monitoring Devices
16.6.1.2.2. Diagnostic Devices
16.6.1.2.3. Insulin Delivery Devices
16.6.1.2.4. Others
16.6.1.3. Brazil Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By Application
16.6.1.3.1. Automated Retinal Screening
16.6.1.3.2. Clinical Decision Support
16.6.1.3.3. Predictive Population Risk Stratification
16.6.1.3.4. Patient Self-Management Tools
16.6.1.3.5. Others
16.6.1.4. Brazil Artificial Intelligence in Diabetes Management Market
Revenue (US$ Mn) and Forecasts, By End User
16.6.1.4.1. Hospitals and Clinics
16.6.1.4.2. Diabetes Management Centers
16.6.1.4.3.
Research Institutes
16.6.2. Argentina
16.6.2.1. Argentina Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Techniques
16.6.2.1.1. Cased Based Reasoning
16.6.2.1.2. Machine Learning & Deep Learning
16.6.2.1.3. Artificial Neural Network
16.6.2.1.4. Others
16.6.2.2. Argentina Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Device
16.6.2.2.1. Glucose Monitoring Devices
16.6.2.2.2. Diagnostic Devices
16.6.2.2.3. Insulin Delivery Devices
16.6.2.2.4. Others
16.6.2.3. Argentina Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By Application
16.6.2.3.1. Automated Retinal Screening
16.6.2.3.2. Clinical Decision Support
16.6.2.3.3. Predictive Population Risk Stratification
16.6.2.3.4. Patient Self-Management Tools
16.6.2.3.5. Others
16.6.2.4. Argentina Artificial Intelligence in Diabetes Management
Market Revenue (US$ Mn) and Forecasts, By End User
16.6.2.4.1. Hospitals and Clinics
16.6.2.4.2. Diabetes Management Centers
16.6.2.4.3. Research Institutes
16.6.3. Rest of Latin America
16.6.3.1. Rest of Latin America Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Techniques
16.6.3.1.1. Cased Based Reasoning
16.6.3.1.2. Machine Learning & Deep Learning
16.6.3.1.3. Artificial Neural Network
16.6.3.1.4. Others
16.6.3.2. Rest of Latin America Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Device
16.6.3.2.1. Glucose Monitoring Devices
16.6.3.2.2. Diagnostic Devices
16.6.3.2.3. Insulin Delivery Devices
16.6.3.2.4. Others
16.6.3.3. Rest of Latin America Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By Application
16.6.3.3.1. Automated Retinal Screening
16.6.3.3.2. Clinical Decision Support
16.6.3.3.3. Predictive Population Risk Stratification
16.6.3.3.4. Patient Self-Management Tools
16.6.3.3.5. Others
16.6.3.4. Rest of Latin America Artificial Intelligence in Diabetes
Management Market Revenue (US$ Mn) and Forecasts, By End User
16.6.3.4.1. Hospitals and Clinics
16.6.3.4.2. Diabetes Management Centers
16.6.3.4.3. Research Institutes
16.7. Key Segment for Channeling Investments
16.7.1. By Country
16.7.2. By Techniques
16.7.3. By Device
16.7.4. By Application
16.7.5. By End User
17. Competitive
Benchmarking
17.1. Player Positioning Analysis
17.2. Global Presence and Growth Strategies
18. Player
Profiles
18.1. Apple Inc.
18.1.1. Company Details
18.1.2. Company Overview
18.1.3. Product Offerings
18.1.4. Key Developments
18.1.5. Financial Analysis
18.1.6. SWOT Analysis
18.1.7. Business Strategies
18.2. Diabnext
18.2.1. Company Details
18.2.2. Company Overview
18.2.3. Product Offerings
18.2.4. Key Developments
18.2.5. Financial Analysis
18.2.6. SWOT Analysis
18.2.7. Business Strategies
18.3. DreaMed Diabetes, Ltd.
18.3.1. Company Details
18.3.2. Company Overview
18.3.3. Product Offerings
18.3.4. Key Developments
18.3.5. Financial Analysis
18.3.6. SWOT Analysis
18.3.7. Business Strategies
18.4. Glooko Inc.
18.4.1. Company Details
18.4.2. Company Overview
18.4.3. Product Offerings
18.4.4. Key Developments
18.4.5. Financial Analysis
18.4.6. SWOT Analysis
18.4.7. Business Strategies
18.5. GlucoMe
18.5.1. Company Details
18.5.2. Company Overview
18.5.3. Product Offerings
18.5.4. Key Developments
18.5.5. Financial Analysis
18.5.6. SWOT Analysis
18.5.7. Business Strategies
18.6. Google Inc.
18.6.1. Company Details
18.6.2. Company Overview
18.6.3. Product Offerings
18.6.4. Key Developments
18.6.5. Financial Analysis
18.6.6. SWOT Analysis
18.6.7. Business Strategies
18.7. Hedia
18.7.1. Company Details
18.7.2. Company Overview
18.7.3. Product Offerings
18.7.4. Key Developments
18.7.5. Financial Analysis
18.7.6. SWOT Analysis
18.7.7. Business Strategies
18.8. IBM Corporation
18.8.1. Company Details
18.8.2. Company Overview
18.8.3. Product Offerings
18.8.4. Key Developments
18.8.5. Financial Analysis
18.8.6. SWOT Analysis
18.8.7. Business Strategies
18.9. Livongo Health
18.9.1. Company Details
18.9.2. Company Overview
18.9.3. Product Offerings
18.9.4. Key Developments
18.9.5. Financial Analysis
18.9.6. SWOT Analysis
18.9.7. Business Strategies
18.10. medicsen
18.10.1.
Company Details
18.10.2.
Company Overview
18.10.3.
Product Offerings
18.10.4.
Key Developments
18.10.5.
Financial Analysis
18.10.6.
SWOT Analysis
18.10.7.
Business Strategies
18.11.
Medtronic.
18.11.1.
Company Details
18.11.2.
Company Overview
18.11.3.
Product Offerings
18.11.4.
Key Developments
18.11.5.
Financial Analysis
18.11.6.
SWOT Analysis
18.11.7.
Business Strategies
18.12.
PredictBGL
18.12.1.
Company Details
18.12.2.
Company Overview
18.12.3.
Product Offerings
18.12.4.
Key Developments
18.12.5.
Financial Analysis
18.12.6.
SWOT Analysis
18.12.7.
Business Strategies
18.13.
Sensyne Health plc.
18.13.1.
Company Details
18.13.2.
Company Overview
18.13.3.
Product Offerings
18.13.4.
Key Developments
18.13.5.
Financial Analysis
18.13.6.
SWOT Analysis
18.13.7.
Business Strategies
18.14.
Sweetch
18.14.1.
Company Details
18.14.2.
Company Overview
18.14.3.
Product Offerings
18.14.4.
Key Developments
18.14.5.
Financial Analysis
18.14.6.
SWOT Analysis
18.14.7.
Business Strategies
18.15.
TypeZero Technologies,
Inc.
18.15.1.
Company Details
18.15.2.
Company Overview
18.15.3.
Product Offerings
18.15.4.
Key Developments
18.15.5.
Financial Analysis
18.15.6.
SWOT Analysis
18.15.7.
Business Strategies
18.16.
Virta Health Corp
18.16.1.
Company Details
18.16.2.
Company Overview
18.16.3.
Product Offerings
18.16.4.
Key Developments
18.16.5.
Financial Analysis
18.16.6.
SWOT Analysis
18.16.7.
Business Strategies
18.17.
Wellthy Therapeutics Pvt
Ltd
18.17.1.
Company Details
18.17.2.
Company Overview
18.17.3.
Product Offerings
18.17.4.
Key Developments
18.17.5.
Financial Analysis
18.17.6.
SWOT Analysis
18.17.7.
Business Strategies
18.18.
XBIRD
18.18.1. Company Details
18.18.2. Company Overview
18.18.3. Product Offerings
18.18.4. Key Developments
18.18.5. Financial Analysis
18.18.6. SWOT Analysis
18.18.7. Business Strategies
Note: This ToC is tentative and can be changed according to
the research study conducted during the course of report completion.
**Exclusive for Multi-User and
Enterprise Use
At Absolute Markets Insights, we are engaged in building both global as well as country specific reports. As a result, the approach taken for deriving the estimation and forecast for a specific country is a bit unique and different in comparison to the global research studies. In this case, we not only study the concerned market factors & trends prevailing in a particular country (from secondary research) but we also tend to calculate the actual market size & forecast from the revenue generated from the market participants involved in manufacturing or distributing the any concerned product. These companies can also be service providers. For analyzing any country specifically, we do consider the growth factors prevailing under the states/cities/county for the same. For instance, if we are analyzing an industry specific to United States, we primarily need to study about the states present under the same(where the product/service has the highest growth). Similar analysis will be followed by other countries. Our scope of the report changes with different markets.
Our research study is mainly implement through a mix of both secondary and primary research. Various sources such as industry magazines, trade journals, and government websites and trade associations are reviewed for gathering precise data. Primary interviews are conducted to validate the market size derived from secondary research. Industry experts, major manufacturers and distributors are contacted for further validation purpose on the current market penetration and growth trends.
Prominent participants in our primary research process include:
- Key Opinion Leaders namely the CEOs, CSOs, VPs, purchasing managers, amongst others
- Research and development participants, distributors/suppliers and subject matter experts
Secondary Research includes data extracted from paid data sources:
- Reuters
- Factiva
- Bloomberg
- One Source
- Hoovers
Research Methodology
Key Inclusions
