Artificial Intelligence in Diabetes Management Market by Device (Diagnostic Devices, Glucose Monitoring Devices, Insulin Delivery Devices), Technique (Case-Based Reasoning, Intelligent Data Analysis) - Global Forecast 2024-2030
The Artificial Intelligence in Diabetes Management Market size was estimated at USD 770.88 million in 2023 and expected to reach USD 1,006.92 million in 2024, at a CAGR 30.71% to reach USD 5,026.14 million by 2030.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Diabetes Management Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Diabetes Management Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Diabetes Management Market, highlighting leading vendors and their innovative profiles. These include Abbott Laboratories, Bigfoot Biomedical, Inc., Cardinal Health Inc., Crayon Group, DreaMed Diabetes, Ltd., Eyenuk, Inc., F. Hoffmann-La Roche Ltd., Glooko SAS, HCL Technologies Limited, International Business Machines Corporation, Medtronic PLC, Novo Nordisk A/S, Sanofi S.A., Virta Health Corp., and Vodafone Group PLC.
Market Segmentation & Coverage
This research report categorizes the Artificial Intelligence in Diabetes Management Market to forecast the revenues and analyze trends in each of the following sub-markets:
Device
Diagnostic Devices
Case-Based Reasoning
Americas
Argentina
California
Australia
Denmark
The report offers valuable insights on the following aspects:
- Market Penetration: It presents comprehensive information on the market provided by key players.
- Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
- Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
- Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
- Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
- What is the market size and forecast of the Artificial Intelligence in Diabetes Management Market?
- Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Diabetes Management Market?
- What are the technology trends and regulatory frameworks in the Artificial Intelligence in Diabetes Management Market?
- What is the market share of the leading vendors in the Artificial Intelligence in Diabetes Management Market?
- Which modes and strategic moves are suitable for entering the Artificial Intelligence in Diabetes Management Market?
Note: PDF & Excel + Online Access - 1 Year
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency & Pricing
- 1.5. Language
- 1.6. Limitations
- 1.7. Assumptions
- 1.8. Stakeholders
- 2. Research Methodology
- 2.1. Define: Research Objective
- 2.2. Determine: Research Design
- 2.3. Prepare: Research Instrument
- 2.4. Collect: Data Source
- 2.5. Analyze: Data Interpretation
- 2.6. Formulate: Data Verification
- 2.7. Publish: Research Report
- 2.8. Repeat: Report Update
- 3. Executive Summary
- 4. Market Overview
- 4.1. Introduction
- 4.2. Artificial Intelligence in Diabetes Management Market, by Region
- 5. Market Insights
- 5.1. Market Dynamics
- 5.1.1. Drivers
- 5.1.1.1. Increasing demand for smart glucose monitoring device
- 5.1.1.2. Rising geriatric population and type 2 diabetes patients
- 5.1.1.3. Growing application of AI in diabetes self management
- 5.1.2. Restraints
- 5.1.2.1. Expensive AI-based medical devices
- 5.1.3. Opportunities
- 5.1.3.1. Increasing mobile apps to monitor and manage diabetes
- 5.1.3.2. Inclination towards the home care or self-management of diabetes
- 5.1.4. Challenges
- 5.1.4.1. Lack of awareness among the people
- 5.2. Market Segmentation Analysis
- 5.3. Market Trend Analysis
- 5.4. Cumulative Impact of High Inflation
- 5.5. Porter’s Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
- 5.6. Value Chain & Critical Path Analysis
- 5.7. Regulatory Framework
- 6. Artificial Intelligence in Diabetes Management Market, by Device
- 6.1. Introduction
- 6.2. Diagnostic Devices
- 6.3. Glucose Monitoring Devices
- 6.4. Insulin Delivery Devices
- 7. Artificial Intelligence in Diabetes Management Market, by Technique
- 7.1. Introduction
- 7.2. Case-Based Reasoning
- 7.3. Intelligent Data Analysis
- 8. Americas Artificial Intelligence in Diabetes Management Market
- 8.1. Introduction
- 8.2. Argentina
- 8.3. Brazil
- 8.4. Canada
- 8.5. Mexico
- 8.6. United States
- 9. Asia-Pacific Artificial Intelligence in Diabetes Management Market
- 9.1. Introduction
- 9.2. Australia
- 9.3. China
- 9.4. India
- 9.5. Indonesia
- 9.6. Japan
- 9.7. Malaysia
- 9.8. Philippines
- 9.9. Singapore
- 9.10. South Korea
- 9.11. Taiwan
- 9.12. Thailand
- 9.13. Vietnam
- 10. Europe, Middle East & Africa Artificial Intelligence in Diabetes Management Market
- 10.1. Introduction
- 10.2. Denmark
- 10.3. Egypt
- 10.4. Finland
- 10.5. France
- 10.6. Germany
- 10.7. Israel
- 10.8. Italy
- 10.9. Netherlands
- 10.10. Nigeria
- 10.11. Norway
- 10.12. Poland
- 10.13. Qatar
- 10.14. Russia
- 10.15. Saudi Arabia
- 10.16. South Africa
- 10.17. Spain
- 10.18. Sweden
- 10.19. Switzerland
- 10.20. Turkey
- 10.21. United Arab Emirates
- 10.22. United Kingdom
- 11. Competitive Landscape
- 11.1. FPNV Positioning Matrix
- 11.2. Market Share Analysis, By Key Player
- 11.3. Competitive Scenario Analysis, By Key Player
- 12. Competitive Portfolio
- 12.1. Key Company Profiles
- 12.1.1. Abbott Laboratories
- 12.1.2. Bigfoot Biomedical, Inc.
- 12.1.3. Cardinal Health Inc.
- 12.1.4. Crayon Group
- 12.1.5. DreaMed Diabetes, Ltd.
- 12.1.6. Eyenuk, Inc.
- 12.1.7. F. Hoffmann-La Roche Ltd.
- 12.1.8. Glooko SAS
- 12.1.9. HCL Technologies Limited
- 12.1.10. International Business Machines Corporation
- 12.1.11. Medtronic PLC
- 12.1.12. Novo Nordisk A/S
- 12.1.13. Sanofi S.A.
- 12.1.14. Virta Health Corp.
- 12.1.15. Vodafone Group PLC
- 12.2. Key Product Portfolio
- 13. Appendix
- 13.1. Discussion Guide
- 13.2. License & Pricing
- FIGURE 1. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET RESEARCH PROCESS
- FIGURE 2. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, 2023 VS 2030
- FIGURE 3. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, 2018-2030 (USD MILLION)
- FIGURE 4. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY REGION, 2023 VS 2030 (%)
- FIGURE 5. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 6. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET DYNAMICS
- FIGURE 7. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2023 VS 2030 (%)
- FIGURE 8. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 9. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2023 VS 2030 (%)
- FIGURE 10. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 11. AMERICAS ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 12. AMERICAS ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 13. UNITED STATES ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY STATE, 2023 VS 2030 (%)
- FIGURE 14. UNITED STATES ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 15. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 16. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 17. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 18. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 19. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET, FPNV POSITIONING MATRIX, 2023
- FIGURE 20. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SHARE, BY KEY PLAYER, 2023
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