Global Artificial Intelligence in Diabetes Management Market: Drivers, Restraints, Opportunities, Trends, and Forecasts to 2023

Diabetes is a major pervasive ailment that impacts the global population extensively. 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 method is not very convenient for a dynamic and complex disease condition such as diabetes. The blood glucose level is impacted by various physiological variables such as insulin type, diet, stress, exercise, illnesses, insufficient sleep etc. Artificial intelligence algorithms bring about state-of-the-art glucose prediction methods that help in tackling diabetes effectively. Insulin trackers in the form of wearables, wristwatches, waist bands, and even pens can help in monitoring glucose levels in the blood. Portable and custom-made decision support systems for insulin dosing accumulate data from multiple sources such as manual inputs and body worn sensors. It is predicted that within 20 years diabetes will extensively be managed by smart machines and AI algorithms.

According to Infoholic Research, the Global Artificial Intelligence in Diabetes Management Market is expected to grow at a CAGR of XX% during the forecast period 2017-2023. The market is driven by factors such as rising elderly population, increasing obesity, poor diet, and demand for more efficient diabetes management tools. Lack of awareness and high cost of diabetes management wearables are deterrents to the growth of the market.

The study offers a comprehensive analysis of the global artificial intelligence in diabetes management market. Bringing out the complete key insights of the industry, the report aims to provide an opportunity for players to understand the latest trends, current market scenario, government initiatives, and technologies related to the market. In addition, it helps the venture capitalists in understanding the companies better and take informed decisions.

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Infoholic research works on a holistic 360° approach in order to deliver high quality, validated and reliable information in our market reports. The Market estimation and forecasting involves following steps:

  • Data Collation (Secondary & Primary)
  • In-house Estimation (Based on proprietary data bases and Models)
  • Market Triangulation
  • Forecasting


Market related information is congregated from both secondary and primary sources. Secondary sources include public sources such as regulatory frameworks, government IT spending, government demographic indicators, industry association statistics, and company publications along with paid sources such as Factiva, OneSource, Bloomberg among others.

Primary sources involved participants from all global stakeholders such as Solution providers, service providers, Industry associations, thought leaders etc. across levels such as CXOs, VPs and managers. Plus, our in-house industry experts having decades of industry experience contribute their consulting and advisory services.

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