Market Size of Optical Sorter Industry
| Study Period | 2019 - 2029 |
| Base Year For Estimation | 2023 |
| CAGR | 10.00 % |
| Fastest Growing Market | Asia Pacific |
| Largest Market | North America |
| Market Concentration | Low |
Major Players
*Disclaimer: Major Players sorted in no particular order |
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Optical Sorter Market Analysis
The optical sorter market will register a CAGR of 10% over the forecast period. Optical sorting is the automated method of classifying solid products using either one or both cameras and sensors. Depending on the type of sensors used and the efficiency of the image processing system, optical sorters can identify an object's color, size, shape, structural characteristics, and chemical composition.
- COVID-19 severely affected the optical sorter market; from a regional point of view, the outbreak caused a significant setback to countries with the export-oriented shutdown of manufacturing plants.
- According to recognized or stated criteria, optical sorting systems identify and eliminate defective items from manufacturing lines and remove foreign objects from the production line. Additionally, they are utilized to separate goods made from various grades or kinds of materials. When optical sorting systems are used, product quality, throughput, and yields are increased, and labor expenses are decreased.
- Pharmaceutical production, tobacco processing, nutraceutical production, mining, garbage recycling, and other industries use optical sorting technology. These methods continue to be widely used in processing harvested goods such as potatoes, fruits, vegetables, and nuts. They offer non-destructive inspection, which is advantageous in these end-user sectors where maintaining good quality is crucial.
- Another critical factor fueling market demand is the increased desire to reduce delivery and processing times. Optical sorting helps enhance product quality, maximize throughput, and increase yields while lowering labor costs compared to human sorting, which is arbitrary and unpredictable.
- The difficulty for the food processing facilities using sorting systems is that the feedstock is frequently not uniform. Deploying AI-enabled systems that can continuously enhance sorting algorithms has become necessary.
