SIGN IN
Manga,Mystery,Sci-Fi
🇬🇧EnglishTr From🇬🇧English
Publication:Completed/2025-2025
BATO Status:Completed
Read Direction:Left to Right
< 100 votes
0 votes
5
00.0%
4
00.0%
3
00.0%
2
00.0%
1
00.0%
Market Overview, Scope, Segmentation, and Key Players
The global Artificial Intelligence (AI) in Diabetes Management market is witnessing significant advancements, driven by the increasing prevalence of diabetes, rapid technological innovations, and government initiatives promoting the adoption of AI-based healthcare solutions. As per the latest analysis by Market Research Future (MRFR), the AI in Diabetes Management market size is projected to grow from USD 1.50 billion in 2025 to USD 12.23 billion by 2034, at an impressive CAGR of 26.26% during the forecast period (2025-2034).
Google and other technology giants are playing a crucial role in accelerating the digital transformation of diabetes management through AI-powered platforms and devices. These updates are enabling healthcare providers and patients to benefit from more personalized, real-time diabetes care solutions, and significantly improving treatment outcomes.
www.marketresearchfuture.com/reports/artificial-intelligence-in-diabetes-management-market-26893
Extra info
Scope and Trends in the Market:
The market is experiencing a surge in demand for personalized diabetes management solutions, driven by several key trends:
  1. Technological Advancements: AI and machine learning algorithms are now increasingly integrated into wearable devices, smartphone applications, and insulin delivery systems for continuous glucose monitoring (CGM) and treatment optimization.
  2. Predictive Analytics: AI-driven predictive models help identify early signs of complications and predict patient outcomes, improving preventive care.
  3. AI-Powered Virtual Assistants: The growing development of virtual assistants is allowing for personalized advice and support, enhancing patient engagement in their treatment process.
  4. Cloud-Based Solutions: With the expansion of cloud computing services, healthcare providers are adopting cloud-based AI solutions for improved data management, scalability, and accessibility.
  5. Automated Insulin Delivery: AI-driven closed-loop systems are automating insulin delivery, offering greater control over blood sugar levels for diabetes patients.
    Market Segmentation and Insights:
    The AI in Diabetes Management market is segmented into various types, applications, deployment models, and end-users.
    Type-Based Segmentation:
    • Diagnostics: This segment leads with the highest revenue share in 2023, owing to the growing need for early and accurate diagnosis of diabetes.
    • Treatment Planning: Expected to grow at the fastest pace, AI-driven treatment plans are allowing for more personalized approaches to managing diabetes.
    • Patient Self-Management: Increasing AI adoption in empowering patients to manage their own diabetes is gaining traction.
    Application-Based Segmentation:
    • Type 2 Diabetes holds the largest market share due to its high prevalence. It is expected to reach USD 156.5 billion by 2024, growing at a CAGR of 39.2%.
    • Type 1 Diabetes benefits from AI solutions like insulin pumps and continuous glucose monitoring systems.
    • Gestational Diabetes is also a rising application segment as awareness grows about the condition's long-term health implications.
    Deployment-Based Segmentation:
    • Cloud-Based: The cloud-based segment dominates due to its scalability and cost-effectiveness, while On-Premise and SaaS are also showing significant adoption rates in healthcare settings.
    End-User Insights:
    • Hospitals and Clinics represent the largest share in AI diabetes management solutions, with an estimated market value of USD 10.23 billion in 2024. This growth is driven by the demand for enhanced patient care and better management of diabetes in clinical environments.
Views
Total: 0/360 days: 0/180 days: 0/90 days: 0/30 days: 0/7 days: 0/24 hours: 0/12 hours: 0/6 hours: 0/60 minutes: 0
BATO Page Creation
[BANNED].U.2594548 at GMT
This comic has been marked as deleted and the chapter list is not available.
Reviews
Upload