Global Artificial Intelligence In Diabetes Management Market is valued at USD 13.8 Bn in 2024 and is predicted to reach USD 32.4 Bn by the year 2034 at a 10.6% CAGR during the forecast period for 2025-2034.
Artificial intelligence in diabetes management describes medical devices that observe, analyze, and treat diabetes remotely. The biological condition known as diabetes raises sugar levels in the circulatory system. The digital treatment of diabetes includes utilising software-driven systems, apps, and gadgets, including injection pens, detectors, closed-loop techniques, insulin updates, and smart glucose meters. This absorbed strategy addresses the difficulty of managing diabetes in a population that is becoming more and more common by facilitating better choice-making and treatment coordination.
The demand for diabetes management platforms is growing significantly due to technological improvements. The industry for diabetes management platforms is expanding as a result of the growing emphasis on individualized therapy. The requirement for platforms that provide individualized solutions is being driven by patients' growing need for therapies that are specifically designed to meet their demands.
However, one of the biggest issues when using AI to control diabetes is data security and privacy. In medical treatment, artificial intelligence relies significantly on tailored patient data, such as lifestyle characteristics, genealogy data, and private health records. For AI systems to produce precise forecasts and treatment suggestions, this type of data must be gathered and analyzed. However, because this data is so sensitive, it is vulnerable to cyberattacks and breaches, which might seriously jeopardize patient privacy. Additionally, worries regarding patient data privacy and a lack of knowledge about digital diabetes treatment are impeding market expansion in underdeveloped nations.
The artificial intelligence in diabetes management market is segmented based on device and technique. Based on the device, the market is segmented into diagnostic devices, glucose monitoring devices, and insulin delivery devices. By technique, the market is segmented into case-based reasoning and intelligent data analysis.
Insulin delivery devices are expected to hold a major global market share in 2021 in the artificial intelligence in diabetes management market. These devices provide accurate insulin administration, lowering the chance of bradycardia and enhancing glucose regulation in general. More patients choose robots over manual techniques as insulin delivery system technology improves and becomes highly accessible and efficient. The use of intelligent insulin delivery systems is being further accelerated by their progress, which integrates with online resources for remote oversight and analysis.
The intelligent data analysis segment is growing in the artificial intelligence market for diabetes management because diabetic individuals create so much data—including lifestyle information, medical records, and glucose levels—that it takes sophisticated analytical methods to glean helpful insights. Additionally, as AI algorithms and machine learning methods progress, data analysis becomes more precise and effective, propelling intelligent data analysis systems in diabetes management.
The North American artificial intelligence in the diabetes management market is expected to register the highest market share in revenue shortly. This can be attributed to the region's established leading companies and the rising incidence of diabetes. Another factor contributing to the region's dominance in this sector is the existence of reputable artificial intelligence firms. Due to the combination of these variables, North America is leading the worldwide demand for artificial intelligence in diabetes management. In addition, the Asia Pacific is expected to grow rapidly in the artificial intelligence in diabetes management market owing to an increasing proportion of people with the disease, rising medical expenses, and more knowledge about how to treat the disease. Furthermore, government programs that encourage diabetes control, increased financial resources, and improved medical facilities contribute to the market's acceleration.
The key players in the artificial intelligence in diabetes management market have shifted their focus toward technological advancement and higher demand for them. They are initiating significant strategies, such as mergers and joint ventures of major and domestic players, to expand their selection of products and raise their global market footprint. Some of the major key players in the artificial intelligence in diabetes management market are Vodafone Group PLC, Apple Inc, Google Inc, International Business Machines Corporation (IBM), Glooko Inc, and Tidepool Inc.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 13.8 Billion |
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Revenue Forecast In 2034 |
USD 32.4 Billion |
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Growth Rate CAGR |
CAGR of 10.6% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Mn,and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Device, Technique |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea |
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Competitive Landscape |
Vodafone Group PLC, Apple Inc, Google Inc, International Business Machines Corporation (IBM), Glooko Inc, and Tidepool Inc. |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Artificial Intelligence in Diabetes Management Market Snapshot
Chapter 4. Global Artificial Intelligence in Diabetes Management Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.9. Use/impact of AI on Artificial Intelligence in Diabetes Management Market Industry Trends
4.10. Global Artificial Intelligence in Diabetes Management Market Penetration & Growth Prospect Mapping (US$ Mn), 2021-2034
Chapter 5. Artificial Intelligence in Diabetes Management Market Segmentation 1: By Device, Estimates & Trend Analysis
5.1. Market Share By Device, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Product Type:
5.2.1. Diagnostic Devices
5.2.2. Glucose Monitoring Devices
5.2.3. Insulin Delivery Devices
Chapter 6. Artificial Intelligence in Diabetes Management Market Segmentation 2: By Technique, Estimates & Trend Analysis
6.1. Market Share By Technique, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Source:
6.2.1. Case-Based Reasoning
6.2.2. Intelligent Data Analysis
Chapter 7. Artificial Intelligence in Diabetes Management Market Segmentation 5: Regional Estimates & Trend Analysis
7.1. Global Artificial Intelligence in Diabetes Management Market, Regional Snapshot 2024 & 2034
7.2. North America
7.2.1. North America Artificial Intelligence in Diabetes Management Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
7.2.1.1. US
7.2.1.2. Canada
7.2.2. North America Artificial Intelligence in Diabetes Management Market Revenue (US$ Million) Estimates and Forecasts By Device, 2021-2034
7.2.3. North America Artificial Intelligence in Diabetes Management Market Revenue (US$ Million) Estimates and Forecasts By Technique, 2021-2034
7.3. Europe
7.3.1. Europe Artificial Intelligence in Diabetes Management Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
7.3.1.1. Germany
7.3.1.2. U.K.
7.3.1.3. France
7.3.1.4. Italy
7.3.1.5. Spain
7.3.1.6. Rest of Europe
7.3.2. Europe Artificial Intelligence in Diabetes Management Market Revenue (US$ Million) Estimates and Forecasts By Device, 2021-2034
7.3.3. Europe Artificial Intelligence in Diabetes Management Market Revenue (US$ Million) Estimates and Forecasts By Technique, 2021-2034
7.4. Asia Pacific
7.4.1. Asia Pacific Artificial Intelligence in Diabetes Management Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
7.4.1.1. India
7.4.1.2. China
7.4.1.3. Japan
7.4.1.4. Australia
7.4.1.5. South Korea
7.4.1.6. Hong Kong
7.4.1.7. Southeast Asia
7.4.1.8. Rest of Asia Pacific
7.4.2. Asia Pacific Artificial Intelligence in Diabetes Management Market Revenue (US$ Million) Estimates and Forecasts By Device, 2021-2034
7.4.3. Asia Pacific Artificial Intelligence in Diabetes Management Market Revenue (US$ Million) Estimates and Forecasts By Technique, 2021-2034
7.5. Latin America
7.5.1. Latin America Artificial Intelligence in Diabetes Management Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
7.5.1.1. Brazil
7.5.1.2. Mexico
7.5.1.3. Rest of Latin America
7.5.2. Latin America Artificial Intelligence in Diabetes Management Market Revenue (US$ Million) Estimates and Forecasts By Device, 2021-2034
7.5.3. Latin America Artificial Intelligence in Diabetes Management Market Revenue (US$ Million) Estimates and Forecasts By Technique, 2021-2034
7.6. Middle East & Africa
7.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
7.6.1.1. GCC Countries
7.6.1.2. Israel
7.6.1.3. South Africa
7.6.1.4. Rest of Middle East and Africa
7.6.2. Middle East & Africa Artificial Intelligence in Diabetes Management Market Revenue (US$ Million) Estimates and Forecasts By Device, 2021-2034
7.6.3. Middle East & Africa Artificial Intelligence in Diabetes Management Market Revenue (US$ Million) Estimates and Forecasts By Technique, 2021-2034
Chapter 8. Competitive Landscape
8.1. Major Mergers and Acquisitions/Strategic Alliances
8.2. Company Profiles
8.2.1. . Vodafone Group PLC
8.2.1.1. Business Overview
8.2.1.2. Key Product Type/Service Overview
8.2.1.3. Financial Performance
8.2.1.4. Geographical Presence
8.2.1.5. Recent Developments with Business Strategy
8.2.2. Apple Inc
8.2.3. Google Inc
8.2.4. International Business Machines Corporation (IBM)
8.2.5. Glooko Inc
8.2.6. Tidepool Inc
Segmentation of Artificial Intelligence in Diabetes Management Market -
By Device
By Technique
By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
