Albany, NY -- (SBWIRE) -- 12/03/2014 -- Diabetes, often referred to as diabetes mellitus, describes a group of metabolic diseases in which the person has high blood glucose (blood sugar), either because insulin production is inadequate, or because the body's cells do not respond properly to insulin, or both. Diabetes is a disorder of metabolism, the process by which the body uses digested food for energy. The digestive tract breaks down carbohydrates, sugars and starches found in many foods, into glucose, a form of sugar that enters the bloodstream. Type 1 diabetes, Type 2 diabetes and Gestational diabetes are the three types of diabetes. There are mainly three types of diabetes treatment which include insulin, oral antidiabetic drug (OAD) and glucagon-like-peptide-1 (GLP-1).

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The key factors which are anticipated to drive market growth include increasing aging population, rising obese population, rising healthcare expenditure, and continuously surging urban population. Some of the noteworthy developments of this industry include sedentary lifestyle, family history and genetics, among others. However, the industry remains threatened by certain challenges which include high diabetes cost which is a huge burden for families.

This report offers a comprehensive analysis of the global diabetes market, along with an in-depth study of the regional market including the US, China, Japan, UK and India. Furthermore, market dynamics such as key trends and development; and challenges are analyzed in depth. On the contention front, the global diabetes market is reined by few major players namely, Novo-Nordisk, Takeda, Sanofi-Aventis and Eli Lilly. The competitive landscape of the respective market, along with the company profiles of the leading players are also discussed in detail.

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By combining SPSS Inc.'s data integration and analysis capabilities with our relevant findings, we have predicted the future growth of the market. We employed various significant variables that have an impact on this industry and created regression models with SPSS Base to determine the future direction of the industry. Before deploying the regression model, the relationship between several independent or predictor variables and the dependent variable was analyzed using standard SPSS output, including charts, tables and tests.

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