The global microbial identification market size will grow by USD 792.57 million during 2019–2023. The report offers an analysis of the market based on end-users (healthcare industry, food and beverage industry, and others). The market research report further presents in-depth insights into the growth prospects of the market across Asia, Europe, North America, and ROW. The report also analyzes the market’s competitive landscape and offers information on several companies including Charles River, Danaher, Merck KGaA, QIAGEN, and Thermo Fisher Scientific Inc.
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The growing demand for food safety testing is one of the critical factors that will drive microbial identification market growth. Microbes from natural sources contaminate the food during production which results in food spoilage and foodborne illness. With the rising cases of foodborne illness, there is a growing importance for food safety testing. Governments of several countries have already started focusing on introducing food-related safety standards and are monitoring the effectiveness of control measures towards reducing food-borne illness. This will subsequently drive the need for these products and services to limit these products. These factors will enhance the global microbial identification market size during the forecast period.
Moreover, the growing demand for microbial identification in cosmetic and personal care sectors is one of the key trends that will gain traction in the market. There is an increasing demand for cosmetics across the globe and the rise in disposable income is increasing customer preference for premium cosmetics. Factors such as contaminated raw materials, organic solvents, and poor manufacturing increase the chances of contamination of these products. This will drive the need for these devices and kits to eliminate the presence of harmful microorganisms. The increasing adoption by cosmetics manufacturers coupled with the demand for food safety testing will drive microbial identification market growth at a CAGR of almost 7% during the forecast period.
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