Huge opportunity in Global Artificial Intelligence in Diabetes Management Market is Expected to Grow at a CAGR of +53% in 2019-2027 with key players Livongo Health, medicsen, Medtronic, PredictBGL, Sensyne Health plc., Apple Inc., Diabnext, DreaMed Diabet

Diabetes is a major pervasive chronic ailment that extensively impacts the global population. It is a global epidemic and the most expensive disease. As per the Center for Disease Control and Prevention, the US alone incurs more than $250 billion a year in lost wages. Millions of people are afflicted with diabetes worldwide, and this number is rising at a rapid pace creating lucrative opportunities for companies and entrepreneurs. According to WHO statistics, nearly +435 million people globally have diabetes, and the number is accelerating at a burgeoning pace. One in 15 people must manage this chronic condition on a regular basis. The data-intensive nature of diabetes care and management makes it an ideal fit for applying artificial intelligence and machine learning to improve outcomes and find better solutions. Diabetes often has a debilitating effect on individuals resulting in strokes, heart attack, blindness, amputation, and kidney failure. Diabetes mellitus is a clinical condition in which an individual has elevated blood glucose levels. Insulin-dependent (type 1) diabetes is managed by monitoring the blood glucose level with finger prick blood tests performed several times throughout the day and adjusting insulin levels based on such readings. This invasive method is painful, inconvenient, time-consuming, and not good enough for managing a dynamic and complex disease condition such as diabetes. Several non-invasive methods of blood glucose measurement and insulin delivery are under development. Glucose measurement devices are now capable of continuously monitoring blood glucose levels throughout the day.

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The worries about high rate of sort 2 diabetes confusions reveled the restorative scientists from St. Marcarius-Alexandria University Hospital to build up an answer which makes diabetic consideration less demanding, available and all-encompassing in nature and giving the open door for Global Artificial Intelligence in Diabetes Management Market. An application named Charlie was the outcome. The application's calculation helps in figuring the insulin type and ideal dimension for every client. Charlie will in general make the whole procedure progressively proficient and viable in nature, giving them an exact measurements estimation. This count thus represents blood glucose levels, way of life information, and prior medicinal services states of a person. Charlie additionally contained a discussion for data sharing and informal communication. Charlie went through the college IRB process as it furnished significant improvement in diabetes care with insignificant hazard. Likewise, the application upon IRB endorsement created positive outcomes in a clinical preliminary at University Hospital. Likewise, this was a leap forward in the general business, all the individual gatherings did not encounter similar outcomes with the end goal that racial minorities did not encounter positive outcomes as white clients.

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Region Analysis:
The market in North America is expected to dominate the global artificial intelligence in diabetes management market and is expected to continue its dominance over the forecast period. This can be attributed to well-developed internet infrastructure, increasing government expenditure on healthcare sector, and presence of major players operating in the countries in this region. In addition, growing merger and acquisition activities among region international players is expected to further support the growth of the market. In 2017, according to International Diabetic Federation there are 33,517,033 diabetic patient in the US. Europe is expected to contribute significant revenue share to the global market. The market in Asia Pacific is expected witness fastest growth owing to high patient pool suffering from diabetics and increasing government expenditure on development of healthcare infrastructure.

By Techniques
• Cased Based Reasoning
• Machine Learning & Deep Learning
• Artificial Neural Network
• Others

By Application
• Automated Retinal Screening
• Clinical Decision Support
• Predictive Population Risk Stratification
• Patient Self-Management Tools
• Others

By Device
• Glucose Monitoring Devices
• Diagnostic Devices
• Insulin Delivery Devices
• Others

By End User
• Hospitals and Clinics
• Diabetes Management Centers
• Research Institutes

By Geography
• North America
• U.S.
• Canada
• Mexico
• Rest of North America
• Europe
• France
• The UK
• Spain
• Germany
• Italy
• Nordic Countries
• Benelux Union
• Rest of Europe
• Asia Pacific
• China
• Japan
• India
• Southeast Asia
• Australia
• New Zealand
• Rest of Asia Pacific
• Middle East and Africa
• GCC Countries
• Southern Africa
• Rest of Middle East and Africa
• Latin America
• Brazil
• Argentina
• Rest of Latin America

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