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, UK, Germany, Spain, Italy, Nordic Countries, The Benelux Union, Rest of Europe, China, Japan, India, Australia, New Zealand, Southeast Asia, Rest of Asia Pacific, GCC Countries, Southern Africa, Rest of MEA, Brazil, Rest of Latin America) – Global Insights, Growth, Size, Comparative Analysis, Trends and Forecast, 2019 – 2027

Report ID :AMI-181 | Category : Information And Communication Technology | Published Date : March, 2019 | Pages : 402 | Format :PDF
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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

Global Artificial Intelligence in Diabetes Management Market

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.

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

Key Questions

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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

Methodology

Key Inclusions

Methodology

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