Artificial Intelligence in Diabetes Management Market by Device, Technique

Description

List of Tables

The Artificial Intelligence in Diabetes Management Market was valued at USD 770.88 million in 2023, expected to reach USD 1,006.92 million in 2024, and is projected to grow at a CAGR of 30.71%, to USD 5,026.14 million by 2030.

The scope and definition of artificial intelligence (AI) in diabetes management encompass the use of advanced algorithms and machine learning models to assist in monitoring, predicting, and managing diabetes more efficiently. The need for AI in this field is driven by the rising prevalence of diabetes globally, the ongoing shifts toward personalized medicine, and the imperative to improve patient outcomes through accurate data-driven insights. Applications include real-time glucose monitoring, predictive analytics for insulin dosing, and personalized treatment plans that adapt to individual patient responses. The end-use scope ranges from hospitals and clinics to personal consumer devices, where AI can significantly enhance disease management. Key growth factors include technological advancements in AI algorithms, growing adoption of digital health solutions, and increased collaboration between tech companies and healthcare providers. Noteworthy opportunities lie in developing AI models that can integrate with electronic health records (EHRs) for comprehensive data analysis, and in building user-friendly wearable devices that actively engage patients in their care. Challenges include data privacy concerns, regulatory hurdles, and the need for large, high-quality datasets to train AI systems. Furthermore, there is skepticism about AI reliability and the high cost of implementation, which can hinder broader adoption. Nevertheless, innovation opportunities abound in areas such as predictive analytics for diabetic complications, AI-powered virtual coaching for patient engagement, and the development of adaptive learning models that improve over time with patient feedback. Research should focus on validating AI reliability and efficacy through clinical studies and addressing interoperability issues between AI systems and existing healthcare infrastructure. The AI in diabetes management market is thus positioned for transformative growth, underscored by a focus on enhancing patient care, though vigilance is required in managing the intrinsic challenges.

KEY MARKET STATISTICS
Base Year [2023]	USD 770.88 million
Estimated Year [2024]	USD 1,006.92 million
Forecast Year [2030]	USD 5,026.14 million
CAGR (%)	30.71%

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Diabetes Management Market

The Artificial Intelligence in Diabetes Management Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

Market Drivers
- Increasing demand for smart glucose monitoring device
- Rising geriatric population and type 2 diabetes patients
- Growing application of AI in diabetes self management
Market Restraints
- Expensive AI-based medical devices
Market Opportunities
- Increasing mobile apps to monitor and manage diabetes
- Inclination towards the home care or self-management of diabetes
Market Challenges
- Lack of awareness among the people

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Diabetes Management Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Diabetes Management Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Diabetes Management Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Diabetes Management Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Diabetes Management Market

A detailed market share analysis in the Artificial Intelligence in Diabetes Management Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Diabetes Management Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Diabetes Management Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Diabetes Management Market

A strategic analysis of the Artificial Intelligence in Diabetes Management Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

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:

Based on Device, market is studied across Diagnostic Devices, Glucose Monitoring Devices, and Insulin Delivery Devices.
Based on Technique, market is studied across Case-Based Reasoning and Intelligent Data Analysis.
Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Product Code: MRR-4369010656EF

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. 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

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. Porter's Five Forces Analysis
- 5.3.1. Threat of New Entrants
- 5.3.2. Threat of Substitutes
- 5.3.3. Bargaining Power of Customers
- 5.3.4. Bargaining Power of Suppliers
- 5.3.5. Industry Rivalry
5.4. PESTLE Analysis
- 5.4.1. Political
- 5.4.2. Economic
- 5.4.3. Social
- 5.4.4. Technological
- 5.4.5. Legal
- 5.4.6. Environmental

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. Market Share Analysis, 2023
11.2. FPNV Positioning Matrix, 2023
11.3. Competitive Scenario Analysis
11.4. Strategy Analysis & Recommendation

Companies Mentioned

1. Abbott Laboratories
2. Bigfoot Biomedical, Inc.
3. Cardinal Health Inc.
4. Crayon Group
5. DreaMed Diabetes, Ltd.
6. Eyenuk, Inc.
7. F. Hoffmann-La Roche Ltd.
8. Glooko SAS
9. HCL Technologies Limited
10. International Business Machines Corporation
11. Medtronic PLC
12. Novo Nordisk A/S
13. Sanofi S.A.
14. Virta Health Corp.
15. Vodafone Group PLC