Artificial Intelligence in Diabetes Management Market Overview:
As per MRFR analysis, the artificial intelligence in diabetes management market size was estimated at 14.84 (USD Billion) in 2022. The artificial intelligence in diabetes management market industry is expected to grow from 20.53 (USD Billion) in 2023 to 382.2 (USD Billion) by 2032. The Artificial intelligence in diabetes management market CAGR (growth rate) is expected to be around 38.38% during the forecast period (2024-2032).
Key Artificial Intelligence in Diabetes Management Market Trends Highlighted
Increasing prevalence of diabetes globally, particularly among the elderly population. Growing demand for personalized and real-time diabetes management solutions. Technological advancements in artificial intelligence (AI) and machine learning algorithms. Integration of AI in wearable devices and smartphone applications for continuous glucose monitoring and insulin delivery.
Development of AI-powered virtual assistants to provide personalized advice and support to diabetes patients. Partnerships between healthcare providers and technology companies to create AI-driven diabetes management platforms. Shift towards cloud-based AI solutions for data storage and processing, improving accessibility and scalability. Increased focus on AI-powered predictive analytics to identify and manage diabetes-related complications. Emerging trend of using AI in closed-loop systems for automated insulin delivery, offering greater control and convenience to patients.
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
Artificial Intelligence in Diabetes Management Market Drivers
Rising Prevalence of Diabetes and Obesity
The increasing prevalence of diabetes and obesity globally is a significant driver of the growth of the artificial intelligence in diabetes management market. Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels, which can lead to various health complications. According to the International Diabetes Federation, an estimated 537 million adults worldwide were living with diabetes in 2021, and this number is projected to reach 783 million by 2045.
Obesity, a major risk factor for diabetes, is also on the rise, with approximately 650 million adults worldwide classified as obese in 2023. The growing prevalence of these conditions underscores the need for effective diabetes management solutions, driving the demand for AI-powered technologies that can assist in disease prevention, early detection, personalized treatment, and improved health outcomes.
Technological Advancements in AI and Machine Learning
The overall uptake of artificial intelligence in diabetes management is rapidly increasing across the entire industry. This is primarily due to rapid advancements and miniaturization in the field of artificial intelligence and machine learning technologies. These technologies can process large amounts of data, identify patterns and predict, which makes them useful for a variety of diabetes management tasks.
Machine learning algorithms can analyze patient data, such as electronic health records, glucose monitoring data and patient lifestyle information to develop personalized treatment plans and predict the risk of complications. Artificial intelligence can also be used to automate several aspects of information processing, such as data entry and generating reminders and educational information.
Government Initiatives and Healthcare Reforms
Government initiatives and healthcare reforms aimed at improving diabetes care are driving the adoption of AI in diabetes management. Many governments worldwide have recognized the importance of addressing the growing burden of diabetes and are implementing strategies to promote early detection, prevention, and effective management of the condition. These initiatives often include funding for research and development of AI-based solutions, as well as policies that encourage the adoption of these technologies in healthcare settings.
Additionally, healthcare reforms focused on improving patient outcomes and reducing costs are creating a favorable environment for the adoption of AI in diabetes management, as these technologies have the potential to enhance the efficiency and effectiveness of healthcare delivery.
Artificial Intelligence in Diabetes Management Market Segment Insights
Artificial Intelligence in Diabetes Management Market Type Insights
Diagnostics held the largest revenue share in 2023, due to the growing need for accurate and timely diagnosis of diabetes. The increasing prevalence of diabetes and the need for early detection are driving the growth of this segment.
Treatment planning is expected to witness the fastest growth rate over the forecast period, owing to the increasing adoption of AI-powered solutions for personalized treatment planning and optimization. Data Management is also expected to grow significantly, due to the rising need for efficient and secure management of large volumes of patient data.
Patient self-management is expected to gain traction as AI-based solutions empower patients to actively participate in their own care and self-manage their condition. The global artificial intelligence in diabetes management market is expected to reach USD 54.23 billion by 2026, exhibiting a CAGR of 30.4% during the forecast period.
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
Artificial Intelligence in Diabetes Management Market Application Insights
The application segment can be classified into Type 1 Diabetes, Type 2 Diabetes, and Gestational Diabetes. Among these, Type 2 Diabetes holds the largest market share due to its high prevalence and increasing incidence rates. The global artificial intelligence in diabetes management market for Type 2 Diabetes is expected to reach USD 156.5 billion by 2024, exhibiting a CAGR of 39.2% during the forecast period. Type 1 Diabetes, though less prevalent than Type 2 Diabetes, is also a significant contributor to the market growth.
The increasing adoption of AI-powered insulin delivery systems and continuous glucose monitoring devices is driving the growth of the Type 1 Diabetes segment. Gestational Diabetes, a temporary condition that occurs during pregnancy, is another key application segment in the global artificial intelligence in diabetes management market.
The rising prevalence of gestational diabetes and the growing awareness of its potential long-term health implications are fueling the demand for AI-based solutions in this segment. Overall, the application segment in the global artificial intelligence in diabetes management market is expected to witness significant growth in the coming years, driven by the increasing prevalence of diabetes, technological advancements, and rising healthcare expenditure.
Artificial Intelligence in Diabetes Management Market Deployment Insights
The deployment segment plays a crucial role in determining the global artificial intelligence in diabetes management market revenue. Cloud-based deployment is projected to dominate the market with a significant market share.
The rising adoption of cloud computing services, owing to their cost-effectiveness, flexibility, and scalability, drives the growth of the cloud-based segment. On-premise deployment is expected to hold a considerable share of the market. Healthcare providers prefer on-premise deployment due to concerns regarding data security and privacy.
Software as a Service (SaaS) is gaining popularity as it eliminates the need for hardware and software installation and maintenance. The Global Artificial Intelligence In Diabetes Management Market is expected to witness substantial growth over the forecast period, influenced by the increasing prevalence of diabetes and the adoption of advanced technologies for diabetes management.
Artificial Intelligence in Diabetes Management Market End User Insights
The global artificial intelligence in diabetes management market is segmented into various end users, including hospitals and clinics, ambulatory surgical centers, diabetes treatment centers, and patients. Among these segments, hospitals and clinics are expected to hold a significant share of the market in the coming years due to the increasing adoption of AI-powered solutions for diabetes management.
In 2024, the global artificial intelligence in diabetes management market for hospitals and clinics is projected to reach USD 10.23 billion, exhibiting a CAGR of 35.4% from 2023 to 2032. The growing prevalence of diabetes and the need for efficient disease management drive this market growth.
Artificial Intelligence in Diabetes Management Market Regional Insights
The global artificial intelligence in diabetes management market is segmented into North America, Europe, APAC, South America, and MEA. North America is the largest regional segment, accounting for over 40% of the global market revenue. The region has a high prevalence of diabetes, leading to a high demand for advanced diabetes management solutions.
Europe is the second-largest regional segment, with a market share of over 30%. The region has a well-established healthcare infrastructure and a growing number of patients with diabetes. APAC is the fastest-growing regional segment, with a market size of over USD 20 billion in 2023 and is projected to reach USD 100 billion by 2032, growing at a CAGR of over 20%.
The region has a large population with a high risk of developing diabetes, and governments are investing heavily in healthcare infrastructure to meet the growing demand for diabetes management solutions. South America and MEA are relatively smaller regional segments, but they are expected to witness significant growth in the coming years due to the increasing prevalence of diabetes and the growing adoption of AI-powered healthcare solutions.
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
Artificial Intelligence in Diabetes Management Market Key Players and Competitive Insights:
Major players are investing heavily in research and development to gain a competitive edge. They are also forming strategic partnerships and collaborations to enhance their product offerings and expand their market reach. Leading market players are focusing on developing innovative and user-friendly solutions that can help patients manage their diabetes more effectively.
The artificial intelligence in diabetes management market is expected to witness significant growth in the coming years, driven by the increasing prevalence of diabetes and the growing adoption of AI technology in healthcare. The competitive landscape is expected to remain highly competitive, with new entrants and established players vying for market share.
A prominent player in this industry is Glooko, Inc. The company offers a comprehensive diabetes management platform that includes a mobile app, a web portal, and a cloud-based data management system. Glooko's platform allows patients to track their blood glucose levels, medication, and diet, and provides them with personalized insights and recommendations. The company also offers a range of educational resources and support services to help patients manage their diabetes.
Another competitor in the market is Dexcom, Inc. The company offers a continuous glucose monitoring (CGM) system that allows patients to track their blood glucose levels in real-time. Dexcom's CGM system is integrated with a mobile app that provides patients with personalized insights and recommendations. The company also offers a range of other products and services, including insulin pumps, glucose meters, and diabetes management software. Dexcom is a leading player in the CGM market and is well-positioned to benefit from the growing adoption of AI technology in diabetes management.
Key Companies in the Artificial Intelligence in Diabetes Management Market Include:
- Eli Lilly and Company
- Tandem Diabetes Care
- Johnson & Johnson
- AstraZeneca
- Roche
- Sanofi
- BD
- Bayer
- Insulet
- Novo Nordisk
- Medtronic
- Ypsomed
- Dexcom
- Abbott
- Merck & Co. Inc.
Artificial Intelligence in Diabetes Management Market Developments
The global artificial intelligence in diabetes management market size was valued at USD 20.53 billion in 2023 and is expected to expand at a compound annual growth rate (CAGR) of 38.38% from 2024 to 2032. The market growth is attributed to the rising prevalence of diabetes, increasing adoption of AI-powered diabetes management solutions, and government initiatives to promote AI in healthcare.
Key players in the market include Google, IBM, Microsoft, and Roche. Recent advancements include the development of AI-powered insulin delivery systems and AI-enabled diabetes monitoring devices.
Artificial Intelligence in Diabetes Management Market Segmentation Insights
Artificial Intelligence in Diabetes Management Market Type Outlook
- Diagnostics
- Treatment Planning
- Data Management
- Patient Self-Management
Artificial Intelligence in Diabetes Management Market Application Outlook
- Type 1 Diabetes
- Type 2 Diabetes
- Gestational Diabetes
Artificial Intelligence in Diabetes Management Market Deployment Outlook
- Cloud-Based
- On-Premise
- Software as a Service (SaaS)
Artificial Intelligence in Diabetes Management Market End User Outlook
- Hospitals and Clinics
- Ambulatory Surgical Centers
- Diabetes Treatment Centers
- Patients
Artificial Intelligence in Diabetes Management Market Regional Outlook
- North America
- Europe
- South America
- Asia Pacific
- Middle East and Africa
| Report Attribute/Metric |
Details |
| Market Size 2022 |
14.84 (USD Billion) |
| Market Size 2023 |
20.53 (USD Billion) |
| Market Size 2032 |
382.2 (USD Billion) |
| Compound Annual Growth Rate (CAGR) |
38.38% (2024-2032) |
| Report Coverage |
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| Base Year |
2023 |
| Market Forecast Period |
2024-2032 |
| Historical Data |
2019-2023 |
| Market Forecast Units |
USD Billion |
| Key Companies Profiled |
Eli Lilly and Company, Tandem Diabetes Care, Johnson & Johnson, AstraZeneca, Roche, Sanofi, BD, Bayer, Insulet, Novo Nordisk, Medtronic, Ypsomed, Dexcom, Abbott, Merck & Co. Inc. |
| Segments Covered |
Type, Application, Deployment, End User, Region |
| Key Market Opportunities |
1.      Personalized Diabetes Management 2.      Remote Patient Monitoring 3.      Improved Drug Development 4.      Enhanced Patient Education 5.      Integration with Wearable Devices |
| Key Market Dynamics |
1.      Rising Prevalence of Diabetes 2.      Technological Advancements 3.      Increasing Healthcare Expenditure 4.      Growing Awareness About AI 5.      Supportive Government Initiatives |
| Countries Covered |
North America, Europe, APAC, South America, MEA |
Frequently Asked Questions (FAQ) :
The global artificial intelligence in diabetes management market size is expected to reach USD 382.2 billion by 2032, exhibiting a CAGR of 38.38% during the forecast period (2024-2032).
North America is expected to hold the largest market share in the artificial intelligence in diabetes management market due to the rising prevalence of diabetes, government initiatives, and the presence of major market players.
Key applications of artificial intelligence in diabetes management include disease risk prediction, personalized treatment planning, remote patient monitoring, and automated insulin delivery.
Major competitors in the artificial intelligence in diabetes management market include Google, IBM, Roche, Johnson & Johnson, and Medtronic.
Key growth drivers of artificial intelligence in diabetes management market include the increasing prevalence of diabetes, rising healthcare expenditure, and technological advancements.
Challenges faced by the artificial intelligence in diabetes management market include data privacy and security concerns, lack of skilled professionals, and regulatory hurdles.
The artificial intelligence in diabetes management market is expected to exhibit a CAGR of 38.38% during the forecast period (2024-2032).
The base year considered for the Artificial Intelligence in Diabetes Management market forecast is 2023.
The end year considered for the artificial intelligence in diabetes management market forecast is 2032.
The expected market size of artificial intelligence in diabetes management in 2032 is USD 382.2 billion.
