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Artificial Intelligence in Diabetes Management Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The market size for artificial intelligence in diabetes management has experienced substantial growth in recent years. This market 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 historical increase can be attributed to several factors, including the rising global prevalence of diabetes, the early adoption of glucose monitoring devices, the expansion of digital health applications, heightened awareness regarding patient self-management, and the proliferation of wearable health technologies.
The market for artificial intelligence in diabetes management is projected to experience substantial growth over the coming years, reaching a valuation of $3.4 billion by 2030, driven by a compound annual growth rate (CAGR) of 33.7%. This expansion during the forecast period is attributable to several factors, including the increasing demand for personalized treatment plans, the adoption of AI-driven decision support systems, the integration of connected medical devices, the expansion of home-based care models, and a greater emphasis on preventive diabetes management. Key trends anticipated in the same period involve AI-powered glucose monitoring systems, the proliferation of personalized diabetes care, the integration of smart insulin delivery solutions, the advancement of predictive glycemic analytics, and the widespread adoption of remote diabetes management.
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#Artificial Intelligence in Diabetes Management Market Demand Drivers Creating New Revenue Opportunities
The increasing occurrence of diabetes is anticipated to propel the artificial intelligence in the diabetes management market going forward. Diabetes manifests when blood glucose, or blood sugar, levels become excessively high. This condition can lead to various complications such as eye problems, heart attacks and strokes, and kidney problems, among others. Artificial intelligence plays a role in managing diabetes by offering information about high or low blood sugar levels in patients and collecting data that has not been utilized previously. As an illustration, in June 2024, the National Health Service (NHS England), a UK-based publicly funded healthcare system, reported that 3,615,330 individuals registered with a GP had non-diabetic hyperglycaemia (also known as pre-diabetes) in 2023, representing an increase of nearly a fifth (18%) from 3,065,825 in 2022. Consequently, the rising prevalence of diabetes is a key factor driving the growth of artificial intelligence in the diabetes management market.
#Artificial Intelligence in Diabetes Management Market Segment Landscape And Growth Potential
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 Innovation Trends: Which Developments Are Transforming The Industry?
Leading companies in the artificial intelligence in diabetes management market are creating novel products, like wearable devices for glucose monitoring, to secure a competitive advantage. A wearable device for monitoring glucose levels is a compact and often sophisticated gadget engineered to continuously or intermittently measure and track an individual’s blood glucose levels. For example, in October 2023, Dexcom Inc., a US-based medical device manufacturer, released its next-generation G7 continuous glucose monitoring (CGM) system. This system is designed for all diabetics nationwide, including pregnant individuals and those two years of age or older. By notifying users of severe hypoglycemia up to 20 minutes ahead, the Dexcom CGM device removes the guesswork from managing diabetes. Sensor replacement is simplified with a 12-hour grace period, and remote monitoring permits glucose data sharing with as many as 10 followers.
Artificial Intelligence in Diabetes Management Market Competitive Landscape: Who Are The Leading 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: Which Region Leads By 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.
