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Which Factors Will Shape The Artificial Intelligence in Diabetes Management Market Size Through 2030?
The artificial intelligence in diabetes management market has experienced substantial growth in recent years. It is projected to expand from $0.8 billion in 2025 to $1.06 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 33.2%. The market’s historical growth can be attributed to factors such as rising global diabetes prevalence, early adoption of glucose monitoring devices, the expansion of digital health applications, increased patient self management awareness, and the growth of wearable health technologies.
The market for artificial intelligence in diabetes management is projected to experience rapid expansion over the coming years. This market is forecast to reach $3.4 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 33.7%. Factors contributing to this anticipated growth include an increasing demand for tailored treatment strategies, the widespread adoption of AI-powered decision support, the seamless integration of interconnected medical devices, the rise of home-based care solutions, and an emphasis on proactive diabetes prevention. Key trends foreseen during this period encompass AI-driven glucose monitoring systems, the development of individualized diabetes care, the incorporation of intelligent insulin delivery methods, the advancement of predictive glycemic analytics, and the increasing uptake of remote diabetes management solutions.
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What Is Propelling The Artificial Intelligence in Diabetes Management Market Toward $3.4 Billion By 2030?
The increasing incidence of diabetes is anticipated to propel artificial intelligence in the diabetes management market going forward. Diabetes is a condition characterized by excessively elevated blood glucose or blood sugar levels. This condition can lead to numerous health complications, including vision issues, cardiovascular events like heart attacks and strokes, and renal dysfunction, among others. Artificial intelligence serves as a tool for diabetes management by offering insights into fluctuating blood sugar levels (high or low) in individuals with diabetes and by gathering previously unutilized data. An illustration of this trend is seen in June 2024, where the National Health Service (NHS England), a publicly funded healthcare system based in the UK, reported that 3,615,330 individuals registered with a general practitioner were identified with non-diabetic hyperglycaemia, also termed pre-diabetes, in 2023. This figure represents an increase of almost a fifth (18%) compared to 3,065,825 in 2022. Consequently, the growing occurrence of diabetes is fueling the expansion of artificial intelligence in the diabetes management market.
What Are The Key Segments And Subsegments In The Artificial Intelligence in Diabetes Management Market?
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 Behind The 33.7% CAGR Forecast
Leading firms within the artificial intelligence in diabetes management market are introducing novel products, specifically wearable devices for glucose monitoring, to secure a market advantage. These wearable glucose monitoring devices are typically compact, high-tech instruments engineered to either continuously or intermittently assess and record an individual’s blood glucose levels. An example of this innovation is Dexcom Inc., a US-based medical device manufacturer, which released its advanced G7 continuous glucose monitoring (CGM) system in October 2023. This system offers coverage for all diabetics across the country, encompassing pregnant individuals and those two years of age or older. The Dexcom CGM device enhances diabetes management by providing alerts for severe hypoglycemia up to 20 minutes beforehand, thereby reducing treatment ambiguities. Sensor replacement is simplified through a 12-hour grace period, and its remote monitoring feature enables glucose data sharing with as many as 10 followers.
Major Companies Profiled In The Artificial Intelligence in Diabetes Management Market Report
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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Where Does The Artificial Intelligence in Diabetes Management Market Generate The Most Revenue?
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.
