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Artificial Intelligence in Diabetes Management Market Size And Revenue Outlook Through 2030
The artificial intelligence in diabetes management market has experienced substantial expansion in recent years. It is anticipated to grow from $0.8 billion in 2025 to $1.06 billion in 2026, achieving a compound annual growth rate (CAGR) of 33.2%. This historical growth can be attributed to factors such as the increasing global incidence of diabetes, the widespread adoption of glucose monitoring devices, the rise of digital health applications, greater awareness regarding patient self-management, and the proliferation of wearable health technologies.
The artificial intelligence in diabetes management market size is anticipated to experience substantial growth in the next few years. It is projected to reach $3.4 billion in 2030, demonstrating a compound annual growth rate (CAGR) of 33.7%. This expansion in the forecast period can be attributed to factors such as the increasing demand for personalized treatment plans, the adoption of AI-driven decision support, the integration of connected medical devices, the growth of home-based care models, and an enhanced focus on preventive diabetes management. Key trends expected during this period include the development of AI-powered glucose monitoring systems, the advancement of personalized diabetes care, the integration of smart insulin delivery, the broadening of predictive glycemic analytics, and the widespread adoption of remote diabetes management.
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Artificial Intelligence in Diabetes Management Market Demand Drivers Opening New Revenue Streams
The increasing occurrence of diabetes is projected to advance the artificial intelligence in the diabetes management market in the coming period. This condition arises when blood glucose, or blood sugar, concentrations are excessively elevated. It leads to numerous health complications, including vision issues, myocardial infarctions and cerebrovascular accidents, renal disorders, among others. Artificial intelligence assists in managing diabetes by delivering insights into a patient’s elevated or reduced blood sugar levels and compiling previously unutilized data. For example, as reported in June 2024 by the National Health Service (NHS England), a publicly funded healthcare system based in the UK, 3,615,330 individuals registered with a General Practitioner were identified with non-diabetic hyperglycaemia—also known as pre-diabetes—in 2023, in contrast to 3,065,825 in 2022, representing an almost one-fifth (18%) rise. Consequently, the growing incidence of diabetes is fueling the expansion of artificial intelligence in the diabetes management market.
Artificial Intelligence in Diabetes Management Market Segmentation: How Does The Market Break Down By Category?
The artificial intelligence in diabetes management market covered in this report is segmented –
1) By Device: Diagnostic Devices, Glucose Monitoring Devices, Insulin Delivery Devices
2) By Techniques: Case-Based Reasoning, Intelligent Data Analysis
3) By End-Use: Hospitals, Clinics, Home Care Settings, Research Institutes
Subsegments:
1) By Diagnostic Devices: Blood Glucose Meters, Continuous Glucose Monitors (CGMs), A1C Testing Devices, Urine Testing Devices
2) By Glucose Monitoring Devices: Continuous Glucose Monitors (CGMs), Flash Glucose Monitoring Systems, Smart Glucose Meters
3) By Insulin Delivery Devices: Insulin Pens, Insulin Pumps, Insulin Jet Injectors, Smart Insulin Delivery Systems
Artificial Intelligence in Diabetes Management Market Trends Powering Strategic Industry Growth
Leading companies in the artificial intelligence in diabetes management market are actively developing novel products, such as wearable glucose monitoring devices, to gain a competitive edge. A wearable device for monitoring glucose levels is a compact and often technologically advanced instrument designed to continuously or intermittently measure and track glucose levels in an individual’s blood. For example, in October 2023, Dexcom Inc., a US-based medical device manufacturer, introduced its next-generation G7 continuous glucose monitoring (CGM) system. This system is designed for all diabetics across the nation, including pregnant individuals and those aged two years or older. The Dexcom CGM device mitigates uncertainty in diabetes treatment by notifying users of severe hypoglycemia up to 20 minutes in advance. It also streamlines sensor replacement with a 12-hour grace period, and its remote monitoring capability facilitates glucose data sharing with up to 10 followers.
Artificial Intelligence in Diabetes Management Market Competitive Overview And Top Companies
Major companies operating in the artificial intelligence in diabetes management market are Alphabet; F. Hoffmann-La Roche; Abbott Laboratories; Medtronic; Dexcom; Insulet; Tandem Diabetes Care; LifePlus; Livongo Health; Xeris Pharmaceuticals; Virta Health; Informed Data Systems; Bigfoot Biomedical; Lark Technologies; Smart Meter; Diabeloop; Quin Technology; Wellthy Therapeutics; Admetsys; DreaMed Diabetes; Eyenuk; Glooko; PKvitality; Glytec; Hygieia; TypeZero Technologies; Nemaura Medical; GlucoMe; PredictBGL; Voluntis
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Artificial Intelligence in Diabetes Management Market Regional Analysis And Top Geography
North America was the largest region in the artificial intelligence (AI) in diabetes management market in 2025. The regions covered in the artificial intelligence in diabetes management market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
