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Artificial Intelligence in Diabetes Management Market Revenue Growth Supported By A CAGR Of 3.39% Through 2030
The market for artificial intelligence in diabetes management has experienced exponential expansion over recent years. Projected to increase from $0.8 billion in 2025 to $1.06 billion in 2026, this growth reflects a compound annual growth rate (CAGR) of 33.2%. During the historic period, key drivers included the increasing global prevalence of diabetes, the early uptake of glucose monitoring devices, the rise of digital health applications, heightened patient awareness regarding self-management, and the broader adoption of wearable health technologies.
The market for artificial intelligence in diabetes management is projected to experience remarkable expansion over the coming years. By 2030, it is anticipated to reach $3.4 billion, reflecting a compound annual growth rate (CAGR) of 33.7%. This forecasted growth is driven by several factors, including the rising demand for personalized treatment approaches, the increasing adoption of AI-based decision support tools, the seamless integration of connected medical devices, the expansion of home-based care models, and a heightened emphasis on preventive diabetes management. Key trends shaping this period encompass AI-enabled glucose monitoring systems, the advancement of tailored diabetes care, the incorporation of smart insulin delivery technologies, the broadening of predictive glycemic analytics, and the growing uptake of remote diabetes management solutions.
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Artificial Intelligence in Diabetes Management Market Growth Drivers: What Factors Are Accelerating Expansion?
The growing incidence of diabetes is anticipated to boost the adoption of artificial intelligence within the diabetes management market. Diabetes arises when blood glucose, or blood sugar, reaches excessively high levels. This condition can lead to complications such as eye disorders, heart attacks, strokes, kidney issues, and other health problems. Artificial intelligence supports diabetes management by offering insights into high or low blood sugar levels in patients and by processing previously unused data. For example, in June 2024, figures from the National Health Service (NHS England), a UK-based publicly funded healthcare system, revealed that 3,615,330 individuals registered with a GP had non-diabetic hyperglycaemia—commonly referred to as pre-diabetes—in 2023, up from 3,065,825 in 2022, representing a growth of nearly 18%. Consequently, the escalating prevalence of diabetes is fueling the expansion of artificial intelligence in the diabetes management market.
Artificial Intelligence in Diabetes Management Market Segmentation Trends And Revenue Drivers
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: What Is Shaping Future Industry Growth?
Leading players in the artificial intelligence for diabetes management sector are introducing innovative products, such as wearable glucose monitoring devices, to strengthen their market position. A wearable glucose monitor is a small, often high-tech device that measures and tracks blood sugar levels continuously or at intervals. For example, in October 2023, Dexcom Inc., a US-based medical device manufacturer, unveiled its next-generation G7 continuous glucose monitoring (CGM) system. This system serves all diabetic patients in the country, including pregnant women and individuals aged two years or older. By providing alerts for severe hypoglycemia up to 20 minutes in advance, the Dexcom CGM device removes uncertainty from diabetes management. Sensor replacement is simplified with a 12-hour grace period, and remote monitoring enables glucose data sharing with up to ten followers.
#Artificial Intelligence in Diabetes Management Market Industry Leaders: Which Organizations Are Driving Competition?
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 Largest Region: Which Geography Holds The Highest Market Share?
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.