Optical Sorter Market Size, Trend, Revenue Report 2026 to 2035

What is Optical Sorter Market Size?

Optical Sorter Market Size is valued at USD 2.49 Bn in 2025 and is predicted to reach USD 6.45 Bn by the year 2035 at a 10.2% CAGR during the forecast period for 2026 to 2035.

Optical Sorter Market Size, Share & Trends Analysis By Offering (Feed System, Optical System, Image Processing, Separation System), Type (Cameras, NIR, Hyperspectral, XRT), Platform (Belt, Freefall, Lane), Application (Food & Beverages, Recycling), and Segment Forecasts, 2026 to 2035

An optical sorter is an automatic machine that uses a camera, sensor, lighting system, image processing, and software to detect and classify objects based on various features such as color, size, composition, shape, and others. Optical sorters are commonly used in various sectors such as food processing, recycling, mining, and others because of the need for consistency in quality and accurate sorting. Automation, precision in sorting, low losses of products, and high quality control contribute to the growth of the optical sorter market.

The optical sorter market emerged due to the adoption of automated processing systems in food industry, recycling sector, mining sector, and other fields of activities. Food industry uses optical sorting systems in order to detect defective products, contaminants, discolorations, and variations in quality. In recycling sector, the adoption of optical sorting systems grows due to the needs to separate plastics, paper, metals, and other materials to increase purity of the recovered material. The growing focus on recycling, circular economy, and resources recovery creates additional demand for optical sorters.

Moreover, the advances in artificial intelligence, machine learning, deep learning, hyperspectral imaging, near-infrared sensing, and high-speed cameras help optical sorters to work with increasingly complex material streams. Contemporary systems are able to detect defects and materials that cannot be classified using traditional methods of sorting. For instance, TOMRA has noted the role of deep learning and real-time monitoring in automated sorting systems. Also, Bühler has introduced deep-learning-based optical sorting in food processing industry.

Competitive Landscape

Which are the Leading Players in Optical Sorter Market?

• TOMRA Systems ASA
• Bühler Group
• Hefei Meyer Optoelectronic Technology Inc.
• Satake Corporation
• Key Technology, LLC
• STEINERT GmbH
• Sesotec GmbH
• Allgaier Werke GmbH
• Pellenc ST
• National Recovery Technologies, LLC
• Raytec Vision S.p.A.
• Techik Instrument (Shanghai) Co., Ltd.
• Binder+Co
• Cimbria
• Mesutronic GmbH
• RealTech Machinery Co., Ltd.
• Eagle Vizion Inc.
• Machinex Industries Inc.

Market Dynamics

Driver

Growing Demand for Automated and High-Precision Sorting

The optical sorter market is expected to grow in the coming years because of the growing trend towards automation and precision processing of materials. Companies in the food industry, recycling, and mining are in need of technology that can help in improving the accuracy of sorting while reducing their reliance on manual checking. The use of artificial intelligence and machine vision is now enabling companies to enhance the efficiency of the sorters. Using deep learning models, companies can detect complex defect types that might not be possible through the use of conventional sorting rules. TOMRA has observed that deep learning is being used for solving complex sorting problems such as separating food grade plastics from non-food grade plastics.

Restrain/Challenge

High Initial Investment and Integration Requirements

Some of the challenges for the global optical sorter market include the relatively high costs of investing in modern optical sorters. This is because they require the use of specialized cameras, sensors, lighting, software, ejecting air, conveyors, and control systems. The investment becomes even higher if the company is forced to make changes to the already existing processing lines and combine several technologies.

There is also a challenge that requires the company to have skilled operators and technical support. While modern machines are increasingly easy to operate, companies will still need personnel that can handle such operations as sorting parameters, sensor management, ejectors, software and data management.

The optical sorter market is projected to expand in the coming years due to the increasing trend towards automation and precision in material processing. There is need for companies in industries like food processing, recycling, and mining to have technology that will enable them to enhance the accuracy of their processes without relying entirely on manual checks.

Artificial Intelligence and machine vision are some of the technologies that have enabled companies to increase efficiency of their optical sorters. With the use of deep learning algorithms, companies can identify complex defects that would not have been detected using the traditional sorting rules. It has been noted that companies are using deep learning to solve complex sorting challenges such as sorting of food grade plastics from other plastics.

Recycling Segment is Expected to Drive the Optical Sorter Market

The recycling section is likely to be a key growth avenue for the optical sorters owing to the growing focus on waste management, material recovery and recycled content. Optical sorting provides recycling centers with the means to sort various polymers, colors, materials and grades with high accuracy. Recycling is expected to experience a high growth rate over the forecast period. More complex recycling streams are being treated by employing the technologies such as NIR sensors, cameras, AI and deep learning algorithms. These technologies enable better material purity and minimize waste of recyclables.

NIR and AI-based Sorting Technologies are Gaining Importance

However, NIR optical sorting systems are becoming more popular in the use cases that make materials undifferentiable using visible colors. The NIR sensors are capable of sensing chemical compositions of the materials; thus, they will be extremely helpful in sorting plastic, recycling, mining, and other uses cases. In addition, there is now a growing trend of using AI and deep learning algorithms in sorting systems to analyze objects and defects rather than using fixed sorting rules only. Thus, they are capable of recognizing image patterns using training datasets which can improve sorting results under different materials’ conditions.

Why North America Led the Optical Sorter Market?

North America dominated the optical sorters market in 2025 on account of strong existing industries related to food processing, recycling, mining, and industrial activities across the region. Availability of high-end manufacturing facilities and the use of advanced automation is prompting firms to deploy high performance optical sorters. Moreover, there has been a recent inclination toward use of AI-based sorting and recycling solutions. Optical sorting is increasingly gaining popularity at modern recycling plants to achieve higher efficiency in sorting and quality in recycled outputs. Furthermore, presence of established technology vendors and investment in recycling infrastructure adds to growth opportunities.

Asia-Pacific region is poised to emerge as the fast growing regional segment during the forecast period. Asia-Pacific boasts substantial presence of food processing, manufacturing industry, recycling activity, and industrial automation. Some of the prominent countries where demand is rising for advanced sorting solutions include China, Japan, India, and South Korea.

Key Development:

• In September 2025, TOMRA released the TOMRA 4C – a smart optical sorter created for processing nuts and individually quick-frozen (IQF) foods. The system features artificial intelligence and advanced sensors which help enhance detection efficiency, simplify the operation of the equipment, and reduce downtime.

• In May 2025, Bühler launched the optical sorter SORTEX AI700 that employs deep learning technologies and was designed to be used for eliminating gluten-containing grains from oats. The goal is to improve the accuracy of sorting as well as product quality and yield of the food processors.

Optical Sorter Market Report Scope: