Optical Sorters Market Is Expected To Grow At a CAGR Of 11.3% FROM 2018-2027.

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According to Stratistics MRC, the “Global Optical Sorters Market” is accounted for $1.61 billion in 2017 and is expected to reach $4.23 billion by 2026 growing at a CAGR of 11.3% during the forecast period.

Optical sorting is the automated procedure of sorting solid products with the use of cameras and/or lasers. Based on the type of sensors used and the software-driven intelligence of the image managing system, this can recognize objects' color, shape, size, structural properties, and chemical composition.

The hyperspectral cameras and combined sorters method increases FM and/or EVM removal, regularly achieving efficiency with low false reject rates. Hence, hyperspectral and combined sorters are expected to provide opportunities in food and recycling applications for the market in the near future.

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By platform, the belt segment held significant market growth during the forecast period as this equipment is broadly used in many applications, like food, recycling, and mining, as they provide higher sorting accuracy and a low carryover ratio.
On the basis of the geographical presence, the North America region acquired the largest market share owing to the high demand for optical sorters in the US food industry, the adoption of automated equipment in the food industry and the presence of stringent regulations for food safety in North American countries. 

 

The Global Optical Sorters Market Leaders are Redwave Solutions, ZYX Technology, Pellenc ST, Tamara, Satake, Allgaier Werke, Greefa, Key Technology, Steinert, Binder, Buhler, Raytec Vision, Cimbria, ASM SRL, CP Manufacturing, Sesotec, National Recovery Technologies, EMS Turnkey Waste Recycling Solutions, Fowler Westrup and Newtec.

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Satake, In May 2018, Satake introduced optical sorter, the FMSR series to meet the demands of various industries in Brazil. The new FMSR series uses Satake's latest RGB technology which incorporates shape sorting capabilities to remove unwanted products such as discoloration and irregular-shape defects from relatively small products like coffee beans.

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About Stratistics MRC:
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