Press release
Spoil Detection Based Smart Label Market Analysis, Trends, Forecast, 2016-2026
Spoil detection based smart labels are used for detecting the quality of food material. These labels are stick on the package of the packages or on the surface of food materials for detecting its freshness. Spoil detection based smart labels are used for detecting temperature, growth of micro-organism, moisture etc. various factors of food materialsSpoil Detection Based Smart Label Market: Drivers and Restraint
Global spoil detection based smart label market is expected to grow rapidly over the forecast period. Factors which are driving the growth of the global spoil detection based smart label market are increasing awareness, increasing adoption of smart packaging and high demand from food & beverages sector. In addition, increasing demand of packaged and process food further fuels the growth of the global spoil detection based smart label market. There are various agencies all over the world which monitors the food safety standards which encourages adoption of these spoil detection based smart labels.
On the other hand, factors which are restraining the growth of the global spoil detection based smart label market are high product cost, low awareness in developing countries.
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However, increasing adoption of sensing labels in healthcare industry, rapidly expanding supermarket chains in developing countries, innovation by key market players is expected to create great opportunity for the spoil detection based smart label market in future.
Spoil Detection Based Smart Label Market: Segmentation
Global spoil detection based smart label market can be segmented on the basis of product type, application and region. On the basis of type, the global spoil detection based smart label market can be further sub segmented into time temperature indicator, oxygen indicator, carbon-dioxide indicator, pathogen indicators and others. Time temperature indicator is expected to witness great growth opportunity over the forecast period
Spoil detection based smart labels are used if detecting the spoilage of various food products such as vegetables, fish, dairy products, and meat etc. These labels are also used in supply chain management for food & beverages industry as these helps in handling the inventory in a smarter way by integrating these label with wireless communication system.
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Spoil Detection Based Smart Label Market: Region wise outlook
On the basis of region, the global spoil detection based smart label market can be segmented into seven regions which includes, North America, Latin America, Western Europe, Asia-Pacific (excluding Japan), Eastern Europe, Japan and Middle East & Africa region. Further the market is sub-segmented as per the major countries of each region in order to provide better regional analysis of the spoil detection based smart label market. Currently, North America and Western Europe dominated the global spoil detection based smart label market due to high technological advancement and awareness. However, APAC region is expected to witness significant growth over the period of forecast. It is due to growing retail chain, increasing consumer awareness and increasing demand of packaged food in the region.
Spoil Detection Based Smart Label Market: Key Players
Key players in global Spoil Detection Based Smart Label Market are Sato Holdings AG, Zebra Technologies, Thin Film Electronics ASA, Invengo Information Technology Co., Ltd., Smartrac N.V., Muhlbauer Holding AG & Co. KGAA. Key market players are focusing on product innovation in order to be competitive in the market. They are also focusing on offering application specific unique products in order to meet specific need of each application. High product innovation is expected by key market players which leads to increase in the revenue by global spoil detection label market
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Spoil detection-based smart label is used to detect quality of food materials. Smart labels are used in food & beverage and healthcare industries to detect the degree of freshness of food materials. The detection of various factors, such as temperature, microorganisms, and moisture is possible using spoil detection-based smart…
