Ice glazing is a process of applying a protective layer over chicken and fish to preserve them from dehydration and oxidization during cold storage. Moreover, automated ice glazing machines are also used to preserve quick-frozen vegetables, meat balls among others. Automated ice glazing machines use majorly two process for ice glazing, which are dipping and spraying. In spraying method, the fish or meat is placed on the machine and cold water is sprayed on the products. Continuous spraying of cold water creates a thin layer of ice over the product and then these products are stored. Growing demand from frozen products is expected to drive the market growth of global automated ice glazing machine over the forecast period. For instance, according to the research report published by American Frozen Food Institute (AFFI) and Food Marketing Institute (FMI), in 2018, the total retail food sales in the U.S. was valued at US$ 57 billion.
Driving Factors for Growth of Automated Ice Glazing Machine Market
Rising seafood consumption is the major factor that is expected to drive growth of ice glazing machine market over the forecast period. For Instance according to report published by Food and Agriculture Organization, in 2018, the fish consumption in developing countries is predicted to increase by 54% from 65 million tons to 96 million tons in 2021. Increased consumption is due to perceived health benefits from regular consumption of fish which reducing risk of heart diseases and dementia. Emerging countries such as China tops the global seafood trade, and the flow of seafood exports from emerging countries to developed countries has been increasing. In value, 67% of fishery exports by developing countries are now directed to develop countries, according to report published by Food and Agriculture Organization in 2018.
Regional analysis of automated ice glazing machine market
On the basis of the region, the global automated ice glazing machine market is segmented into North America, Europe, Asia Pacific, Latin America, Middle East, and Africa.
Asia Pacific region is estimated to hold a dominant position in the global automated ice glazing machine market in 2019, owing to high presence of key players in the region such as Hebei NRK Mesh Conveyor Co. Ltd., Zhengzhou LONGER Machinery Co., Ltd., and Shaoxing Shangyu Chenhao Trading Co.
Moreover, North America is expected to be the fastest growing region in the global automated ice glazing machine market. This is owing to growing consumption of fish in the U.S. For instance, according to report published by Food and Agriculture Organization in 2018, the U.S. imported around US$ 20,547 Mn fish and fish products. Considering the above factor, the market for automated ice glazing machine in the North America is expected to grow during the forecasted period.
Key Players in Automated Ice Glazing Machine Market
Key players operating in ice glazing machine market include Zhengda Food Machinery Co. Ltd, Hebei NRK Mesh Conveyor Co. Ltd., Zhengzhou Bogen Machinery Equipment Co., Ltd., KM Fish Machinery A/S, Skaginn 3X, Shaoxing Shangyu Chenhao Trading Co., Ltd., Tianjin Hitrees Machinery Equipment Co., Ltd., Shanghai Heyday Industrial Development Co., Ltd, Henan Gelgoog Machinery CO LTD, Uni-Food Technic A/S, and Zhengzhou LONGER Machinery Co., Ltd.
Segmentation of automated ice glazing machine market
Automated ice glazing machine market is segmented on the basis of type, application, and region.
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About Author
Ramprasad Bhute
Ramprasad Bhute is a Senior Research Consultant with over 6 years of experience in market research and business consulting. He specializing in Construction Engineering and Industrial Automation and Machinery, this professional has developed a robust skill set tailored to optimizing processes and enhancing operational efficiency. Notable achievements include leading significant projects that resulted in substantial cost reductions and improved productivity. For instance, he played a pivotal role in automating machinery processes for a major construction firm, which led to a 25% increase in operational efficiency. His ability to analyze complex data and provide actionable insights has made him a trusted advisor in the field.
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