Market Executive Summary

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.

Due to the COVID-19 pandemic, the global Artificial Intelligence in Diabetes Management market size was US$ million in 2022 and is forecast to a readjusted size of US$ million by 2029 with a CAGR of % during the forecast period 2023-2029. Fully considering the economic change by this health crisis, Case-based Reasoning accounting for % of the Artificial Intelligence in Diabetes Management global market in 2022, is projected to value US$ million by 2029, growing at a revised ?GR from 2023 to 2029. While Glucose Monitoring Devices segment is altered to an ?GR throughout this forecast period.

The global key companies of Artificial Intelligence in Diabetes Management include Apple, Diabnext, Glooko, Google, IBM, Tidepool and Vodafone, etc. In 2022, the global top five players had a share approximately % in terms of revenue.

The United States Artificial Intelligence in Diabetes Management market size was US$ million in 2022, while China size was US$ million. The proportion of the United States was % in 2022, while China percentage was %, and it is predicted that China share will reach % in 2029, trailing a CAGR of % through the analysis period. As for the Europe Artificial Intelligence in Diabetes Management landscape, Germany is projected to reach US$ million by 2029. and in Asia, the notable markets are Japan and South Korea, CAGR is % and % respectively for the next 6-year period.

The market research report offered here is a very useful resource that can help manufacturers, stakeholders, decision-makers, and other market participants to become familiar with every factor impacting the growth of the global Artificial Intelligence in Diabetes Management market. The analysts authoring the report have closely studied key strategies adopted by top players of the global Artificial Intelligence in Diabetes Management market. The report includes SWOT, and other market analyses to provide a clear and deep understanding of important aspects of the global Artificial Intelligence in Diabetes Management market. Readers of the report can become informed about current and future trends of the global Artificial Intelligence in Diabetes Management market and how they will impact market growth during the forecast period.

By Company

    Apple

    Diabnext

    Glooko

    Google

    IBM

    Tidepool

    Vodafone

Segment by Type

    Case-based Reasoning

    Intelligent Data Analysis

Segment by Application

    Glucose Monitoring Devices

    Diagnostic Devices

    Insulin Delivery Devices

    Other Devices

By Region

    North America

        U.S.

        Canada

    Europe

        Germany

        France

        U.K.

        Italy

        Russia

    Asia-Pacific

        China

        Japan

        South Korea

        India

        Australia

        Taiwan

        Indonesia

    Latin America

        Mexico

        Brazil

        Argentina

    Middle East & Africa

        Turkey

        Saudi Arabia

        U.A.E

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc.), including the market size of each market segment, future development potential, and so on.

Chapter 2: Revenue of Artificial Intelligence in Diabetes Management in global and regional level.

Chapter 3: Detailed analysis of Artificial Intelligence in Diabetes Management companies' competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.

Chapter 4: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 5: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 6: North America (US & Canada) by type, by application and by country, revenue for each segment.

Chapter 7: Europe by type, by application and by country, revenue for each segment.

Chapter 8: Asia Pacific by type, by application and by region, revenue for each segment.

Chapter 9: Latin America by type, by application and by country, revenue for each segment.

Chapter 10: Middle East and Africa, by type, by application and by country, revenue for each segment.

Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Artificial Intelligence in Diabetes Management revenue, gross margin, and recent development, etc.

Chapter 12: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 13: Research Findings and Conclusion