Artificial Intelligence in Diabetes Management Market Size By Application, Industry Analysis Report, Regional Outlook (North America, Europe, Asia Pacific, Middle East & Africa, And South America), Growth Potential, Price Trends, Competitive Market Share & Forecast 2023 - 2030 (Recession Impact Analysis)
ID : MRU_
2272 | Date :
Jan, 2023 | Pages :
180 | Region : Global |
Publisher : 99 Strategy
Artificial Intelligence in diabetes management is an automotion system which employs a computer system that gathers data, understands, reasons, and learns how the information effects outcomes over time.That the system ingests massive amounts of information—both structured and unstructured data—such as databases that have categorical variables, health records, and the scientific lexicon in research papers all of which is ingested and processed to make connections and then draw conclusions through a process of learning over time to increase in accuracy.
The Global Artificial Intelligence in Diabetes Management Market had reached xxx million USD with a CAGR xx from 2018-2022. Later on, it will go to xxx million USD in 2023 with a CAGR xx % from 2023-2030.
In the global Artificial Intelligence in Diabetes Management Market, This report focuses particularly in North America, South America, Europe and Asia-Pacific, and Middle East and Africa. This report classifies the Market on the basis of application, type, regions, and manufactures.
In Market segmentation by manufacturers, the report covers the following companies-
Apple
Diabnext
Glooko
Google
IBM
Tidepool
Vodafone
In Market segmentation by geographical regions, the report has analysed the following regions-
North America (USA, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Columbia etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
In Market segmentation by types :
Case-based Reasoning
Intelligent Data Analysis
In Market segmentation by applications :
Glucose Monitoring Devices
Diagnostic Devices
Insulin Delivery Devices
Other Devices
The research provides answers to the following key questions:
• What is the estimated growth rate and Market share and size of the Artificial Intelligence in Diabetes Management Market for the forecast period 2023-2030?
• What are the driving forces in the Artificial Intelligence in Diabetes Management Market for the forecast period 2023-2030?
• Who are the prominent Market players and how have they gained a competitive edge over other competitors?
• What are the Market trends influencing the progress of the Artificial Intelligence in Diabetes Management industry worldwide?
• What are the major challenges and threats restricting the progress of the industry?
• What opportunities does the Market hold for the prominent Market players? Any special requirements about this report, please let us know and we can provide custom report.
Note – In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.
Table of Contents
1 Report Overview
1.1 Research Scope
1.2 Major Manufacturers Covered in This Report
1.3 Market Segment by Type
1.3.1 Global Artificial Intelligence in Diabetes Management Market Size Growth Rate by Type (2020-2030)
1.3.2 Case-based Reasoning
1.3.3 Intelligent Data Analysis
1.4 Market Segment by Application
1.4.1 Global Artificial Intelligence in Diabetes Management Market Share by Application (2020-2030)
1.4.2 Glucose Monitoring Devices
1.4.3 Diagnostic Devices
1.4.4 Insulin Delivery Devices
1.4.5 Other Devices
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Production and Capacity Analysis
2.1.1 Global Artificial Intelligence in Diabetes Management Production Value 2015-2030
2.1.2 Global Artificial Intelligence in Diabetes Management Production 2015-2030
2.1.3 Global Artificial Intelligence in Diabetes Management Capacity 2015-2030
2.1.4 Global Artificial Intelligence in Diabetes Management Marketing Pricing and Trends
2.2 Key Producers Growth Rate (CAGR) 2020-2030
2.2.1 Global Artificial Intelligence in Diabetes Management Market Size CAGR of Key Regions
2.2.2 Global Artificial Intelligence in Diabetes Management Market Share of Key Regions
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Drivers
3 Market Share by Manufacturers
3.1 Capacity and Production by Manufacturers
3.1.1 Global Artificial Intelligence in Diabetes Management Capacity by Manufacturers
3.1.2 Global Artificial Intelligence in Diabetes Management Production by Manufacturers
3.2 Revenue by Manufacturers
3.2.1 Artificial Intelligence in Diabetes Management Revenue by Manufacturers (2018 - 2022)
3.2.2 Artificial Intelligence in Diabetes Management Revenue Share by Manufacturers (2018 - 2022)
3.2.3 Global Artificial Intelligence in Diabetes Management Market Concentration Ratio (CR5 and HHI)
3.3 Artificial Intelligence in Diabetes Management Price by Manufacturers
3.4 Key Manufacturers Artificial Intelligence in Diabetes Management Plants/Factories Distribution and Area Served
3.5 Date of Key Manufacturers Enter into Artificial Intelligence in Diabetes Management Market
3.6 Key Manufacturers Artificial Intelligence in Diabetes Management Product Offered
3.7 Mergers & Acquisitions, Expansion Plans
4 Market Size by Type
4.1 Production and Production Value for Each Type
4.1.1 Case-based Reasoning Production and Production Value (2018 - 2022)
4.1.2 Intelligent Data Analysis Production and Production Value (2018 - 2022)
4.2 Global Artificial Intelligence in Diabetes Management Production Market Share by Type
4.3 Global Artificial Intelligence in Diabetes Management Production Value Market Share by Type
4.4 Artificial Intelligence in Diabetes Management Ex-factory Price by Type
5 Market Size by Application
5.1 Overview
5.2 Global Artificial Intelligence in Diabetes Management Consumption by Application
6 Production by Regions
6.1 Global Artificial Intelligence in Diabetes Management Production (History Data) by Regions 2018 - 2022
6.2 Global Artificial Intelligence in Diabetes Management Production Value (History Data) by Regions
6.3 United States
6.3.1 United States Artificial Intelligence in Diabetes Management Production Growth Rate 2018 - 2022
6.3.2 United States Artificial Intelligence in Diabetes Management Production Value Growth Rate 2018 - 2022
6.3.3 Key Players in United States
6.3.4 United States Artificial Intelligence in Diabetes Management Import & Export
6.4 European Union
6.4.1 European Union Artificial Intelligence in Diabetes Management Production Growth Rate 2018 - 2022
6.4.2 European Union Artificial Intelligence in Diabetes Management Production Value Growth Rate 2018 - 2022
6.4.3 Key Players in European Union
6.4.4 European Union Artificial Intelligence in Diabetes Management Import & Export
6.5 China
6.5.1 China Artificial Intelligence in Diabetes Management Production Growth Rate 2018 - 2022
6.5.2 China Artificial Intelligence in Diabetes Management Production Value Growth Rate 2018 - 2022
6.5.3 Key Players in China
6.5.4 China Artificial Intelligence in Diabetes Management Import & Export
6.6 Rest of World
6.6.1 Japan
6.6.2 Korea
6.6.3 India
6.6.4 Southeast Asia
7 Artificial Intelligence in Diabetes Management Consumption by Regions
7.1 Global Artificial Intelligence in Diabetes Management Consumption (History Data) by Regions
7.2 United States
7.2.1 United States Artificial Intelligence in Diabetes Management Consumption by Type
7.2.2 United States Artificial Intelligence in Diabetes Management Consumption by Application
7.3 European Union
7.3.1 European Union Artificial Intelligence in Diabetes Management Consumption by Type
7.3.2 European Union Artificial Intelligence in Diabetes Management Consumption by Application
7.4 China
7.4.1 China Artificial Intelligence in Diabetes Management Consumption by Type
7.4.2 China Artificial Intelligence in Diabetes Management Consumption by Application
7.5 Rest of World
7.5.1 Rest of World Artificial Intelligence in Diabetes Management Consumption by Type
7.5.2 Rest of World Artificial Intelligence in Diabetes Management Consumption by Application
7.5.1 Japan
7.5.2 Korea
7.5.3 India
7.5.4 Southeast Asia
8 Company Profiles
8.1 Apple
8.1.1 Apple Company Details
8.1.2 Company Description and Business Overview
8.1.3 Production and Revenue of Artificial Intelligence in Diabetes Management
8.1.4 Artificial Intelligence in Diabetes Management Product Introduction
8.1.5 Apple Recent Development
8.2 Diabnext
8.2.1 Diabnext Company Details
8.2.2 Company Description and Business Overview
8.2.3 Production and Revenue of Artificial Intelligence in Diabetes Management
8.2.4 Artificial Intelligence in Diabetes Management Product Introduction
8.2.5 Diabnext Recent Development
8.3 Glooko
8.3.1 Glooko Company Details
8.3.2 Company Description and Business Overview
8.3.3 Production and Revenue of Artificial Intelligence in Diabetes Management
8.3.4 Artificial Intelligence in Diabetes Management Product Introduction
8.3.5 Glooko Recent Development
8.4 Google
8.4.1 Google Company Details
8.4.2 Company Description and Business Overview
8.4.3 Production and Revenue of Artificial Intelligence in Diabetes Management
8.4.4 Artificial Intelligence in Diabetes Management Product Introduction
8.4.5 Google Recent Development
8.5 IBM
8.5.1 IBM Company Details
8.5.2 Company Description and Business Overview
8.5.3 Production and Revenue of Artificial Intelligence in Diabetes Management
8.5.4 Artificial Intelligence in Diabetes Management Product Introduction
8.5.5 IBM Recent Development
8.6 Tidepool
8.6.1 Tidepool Company Details
8.6.2 Company Description and Business Overview
8.6.3 Production and Revenue of Artificial Intelligence in Diabetes Management
8.6.4 Artificial Intelligence in Diabetes Management Product Introduction
8.6.5 Tidepool Recent Development
8.7 Vodafone
8.7.1 Vodafone Company Details
8.7.2 Company Description and Business Overview
8.7.3 Production and Revenue of Artificial Intelligence in Diabetes Management
8.7.4 Artificial Intelligence in Diabetes Management Product Introduction
8.7.5 Vodafone Recent Development
9 Market Forecast
9.1 Global Market Size Forecast
9.1.1 Global Artificial Intelligence in Diabetes Management Capacity, Production Forecast 2020-2030
9.1.2 Global Artificial Intelligence in Diabetes Management Production Value Forecast 2020-2030
9.2 Market Forecast by Regions
9.2.1 Global Artificial Intelligence in Diabetes Management Production and Value Forecast by Regions 2020-2030
9.2.2 Global Artificial Intelligence in Diabetes Management Consumption Forecast by Regions 2020-2030
9.3 United States
9.3.1 Production and Value Forecast in United States
9.3.2 Consumption Forecast in United States
9.4 European Union
9.4.1 Production and Value Forecast in European Union
9.4.2 Consumption Forecast in European Union
9.5 China
9.5.1 Production and Value Forecast in China
9.5.2 Consumption Forecast in China
9.6 Rest of World
9.6.1 Japan
9.6.2 Korea
9.6.3 India
9.6.4 Southeast Asia
9.7 Forecast by Type
9.7.1 Global Artificial Intelligence in Diabetes Management Production Forecast by Type
9.7.2 Global Artificial Intelligence in Diabetes Management Production Value Forecast by Type
9.8 Consumption Forecast by Application
10 Value Chain and Sales Channels Analysis
10.1 Value Chain Analysis
10.2 Sales Channels Analysis
10.2.1 Artificial Intelligence in Diabetes Management Sales Channels
10.2.2 Artificial Intelligence in Diabetes Management Distributors
10.3 Artificial Intelligence in Diabetes Management Customers
11 Opportunities & Challenges, Threat and Affecting Factors
11.1 Market Opportunities
11.2 Market Challenges
11.3 Porters Five Forces Analysis
12 Key Findings
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
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