The Business Research Company’s Artificial Intelligence In Diabetes Management Global Market Report 2023 is the most detailed report available on the market, including broad forecast periods and multiple geographies. The report covers the historic period – 2010-2021, and the forecast period – 2023-2032. The Artificial Intelligence In Diabetes Management Global Market Report 2023 evaluates artificial intelligence in diabetes management market size, growth rate, drivers, trends, and major companies.
The report provides a global perspective by covering 60 geographies and focusing on major economies in each region – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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The global market for artificial intelligence (AI) in diabetes management is poised for remarkable expansion, with projections indicating substantial growth in the coming years. From a valuation of $0.36 billion in 2022, this market is anticipated to soar to $0.48 billion by 2023, reflecting a compelling compound annual growth rate (CAGR) of 31.7%. This meteoric rise in AI’s role in diabetes management is largely influenced by the ever-evolving global landscape.
The geopolitical turmoil triggered by the Russia-Ukraine conflict has significantly disrupted the world’s economic recovery following the tumultuous COVID-19 pandemic. The repercussions of this war extend far beyond its geographical confines. It has set in motion a series of economic sanctions imposed on multiple nations, leading to a surge in commodity prices and rampant supply chain disruptions. The fallout from these developments has catalyzed inflation across a spectrum of goods and services while also exerting upward pressure on interest rates in various global markets.
Against this backdrop, the artificial intelligence sector in diabetes management stands poised for a noteworthy ascent. The market is anticipated to achieve a robust valuation of $1.42 billion by 2027, fueled by a CAGR of 31.4%. The driving force behind this growth lies in the escalating prevalence of diabetes, which is expected to have far-reaching implications for the diabetes management landscape.
Diabetes is a medical condition characterized by elevated blood glucose levels, known as blood sugar. It is a malady that spawns a host of other health issues, including ocular problems, heart ailments, strokes, and renal complications. In this context, artificial intelligence assumes a pivotal role in diabetes management. It empowers healthcare professionals and patients alike with the capability to monitor and regulate blood sugar levels effectively. AI not only provides real-time information on blood sugar levels but also facilitates the accumulation of hitherto untapped data.
A compelling illustration of the growing diabetes challenge emerges from data provided by the International Diabetes Federation, a US-based intergovernmental organization. As of December 2021, the Federation reported that diabetes afflicted a staggering 537 million adults aged 20 to 79. Projections for the future are even more alarming, with expectations that the number will escalate to 643 million by 2030 and a daunting 783 million by 2045. This surge in diabetes incidence underscores the pressing need for innovative solutions, and artificial intelligence stands as a beacon of hope in the realm of diabetes management. The rising prevalence of diabetes has, and will continue to, galvanize the growth of AI in diabetes management, revolutionizing the way we address this global health challenge.
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The artificial intelligence in diabetes management market segments in the report are:
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
Top 5 Major Players:
Table of contents :
1. Executive Summary
2. Artificial Intelligence in Diabetes Management Market Characteristics
3. Artificial Intelligence in Diabetes Management Market Trends And Strategies
4. Artificial Intelligence in Diabetes Management Market – Macro Economic Scenario
5. Global Artificial Intelligence in Diabetes Management Market Drivers and Restraints
…..
32. Global Artificial Intelligence in Diabetes Management Market Competitive Benchmarking
33. Global Artificial Intelligence in Diabetes Management Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Artificial Intelligence in Diabetes Management Market
35. Artificial Intelligence in Diabetes Management Market Future Outlook and Potential Analysis
36. Appendix
List Of Tables:
1. Executive Summary
2. Artificial Intelligence in Diabetes Management Market Characteristics
3. Artificial Intelligence in Diabetes Management Market Trends And Strategies
4. Artificial Intelligence in Diabetes Management Market – Macro Economic Scenario
5. Global Artificial Intelligence in Diabetes Management Market Drivers and Restraints
…..
32. Global Artificial Intelligence in Diabetes Management Market Competitive Benchmarking
33. Global Artificial Intelligence in Diabetes Management Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Artificial Intelligence in Diabetes Management Market
35. Artificial Intelligence in Diabetes Management Market Future Outlook and Potential Analysis
36. Appendix
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