Artificial Intelligence in Diabetes Management Global Market Report 2025
What industry-specific factors are fueling the growth of the artificial intelligence in diabetes management market?
The surge in diabetes cases is projected to boost the use of artificial intelligence in the diabetes management market. Diabetes is a condition characterized by excessively high blood glucose or blood sugar levels, and can lead to various health issues including eye complications, heart attacks and strokes, and kidney issues, among others. Artificial intelligence is leveraged to manage diabetes by providing insights into the fluctuations in blood sugar levels of a diabetic patient and by analysing previously unused data. For example, National Health Service (NHS England), a publicly funded healthcare system in the UK, revealed that in June 2024, the number of individuals registered with a GP diagnosed with non-diabetic hyperglycaemia (also known as pre-diabetes) in 2023 rose to 3,615,330, up from 3,065,825 in 2022 – marking an almost one-fifth (18%) increase. Consequently, the escalating rate of diabetes cases is fuelling the growth of artificial intelligence in the diabetes management market.
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What Is the projected market size and growth rate for the artificial intelligence in diabetes management market?
The market size for artificial intelligence in diabetes management has seen an exponential growth in the recent past. The expansion is expected to surge from $0.62 billion in 2024 to $0.8 billion in 2025, exhibiting a compound annual growth rate (CAGR) of 30.2%. Factors such as data accumulation, surge in diabetes cases, pressure on healthcare costs, and early applications of AI, have contributed to the growth during the historical period.
Anticipated to boom in the upcoming years, the size of the market for artificial intelligence in diabetes management is projected to reach $2.56 billion by 2029, with a compound annual growth rate (CAGR) of 33.7%. The enlargement during the forecast period is expected to be driven by factors such as AI-enabled decision-making systems, telemedicine integration, utilization of genomic data, and regulatory support. The period ahead is likely to witness significant trends including progress in wearable technology, tailored treatment plans, improvements in continuous glucose monitoring, AI-facilitated risk assessment, and behavioral support for modification.
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What new trends are reshaping the artificial intelligence in diabetes management market and its opportunities?
One key trend gaining traction in the artificial intelligence in diabetes management market is the surge in technological advancements. Major players in this market are striving to develop innovative technological solutions to maintain their market standing. For example, Dr. Mohan’s Diabetes Specialties Center, a diabetes specialty hospital chain headquartered in India, introduced an advanced AI-platform for precise diabetes care in October 2022, as part of the 3D Initiative. This initiative encompasses DIA, an AI-powered chatbot facilitating pre-recorded digital interactions; DIALA, a user-friendly smartphone application for patients; and DIANA, a precision-oriented medical application for diabetes care. The company maintains that its advanced Total Experience (TX) Automation Platform supports these applications by powering an AI-enabled virtual assistant that interacts with patients across diverse platforms, including Facebook Messenger, WhatsApp, Google Business Message, and the web.
What major market segments define the scope and growth of 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, Other 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
4) By Other Devices: Diabetes Management Apps, Wearable Devices, Smart Health Monitors, Insulin Refrigerators
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Which region dominates the artificial intelligence in diabetes management market?
North America was the largest region in the artificial intelligence (AI) in diabetes management market in 2024. The regions covered in the artificial intelligence in diabetes management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
Which key market leaders are driving the artificial intelligence in diabetes management industry growth?
Major companies operating in the artificial intelligence in diabetes management market include Alphabet Inc., F. Hoffmann-La Roche AG, Abbott Laboratories, Medtronic Plc, Dexcom Inc., Insulet Corporation, Tandem Diabetes Care Inc., LifePlus Inc., Livongo Health Inc., Xeris Pharmaceuticals Inc., Virta Health Corp., Informed Data Systems Inc., Bigfoot Biomedical Inc., Lark Technologies Inc., Smart Meter LLC, Diabeloop SA, Quin Technology Ltd., Wellthy Therapeutics Pvt Ltd., Admetsys LLC, DreaMed Diabetes Ltd., Eyenuk Inc., Glooko Inc., PKvitality, Glytec LLC, Hygieia Inc., TypeZero Technologies Inc., Nemaura Medical Inc., GlucoMe, PredictBGL, Voluntis S.A.
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What Is Covered In The Artificial Intelligence in Diabetes Management Global Market Report?
• Market Size Forecast: Examine the artificial intelligence in diabetes management market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the artificial intelligence in diabetes management market for a structured understanding.
• Key Players Overview: Analyze major players in the artificial intelligence in diabetes management market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence in diabetes management market.
• Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence in diabetes management market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence in diabetes management market.
• Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence in diabetes management market.
• Competitive Landscape: Review strategic developments in the artificial intelligence in diabetes management market, including expansions, agreements, and new product launches.
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