Global Robotic Waste Sorting Market Valued at US$ 2.3 Bn in 2023

It is estimated to grow at a CAGR of 3.8% from 2024 to 2034 and reach US$ 3.4 Bn by the end of 2034

The Global Robotic Waste Sorting Market valued at US$ 2.3 billion in 2023, is projected to grow at a compound annual growth rate (CAGR) of 3.8% from 2024 to 2034, reaching an estimated US$ 3.4 billion by the end of 2034. This significant growth is fueled by the rising need for efficiency and accuracy in sorting waste, as well as the increasing application of robotic arms in waste management facilities.

The demand for efficiency and accuracy in waste sorting is driving the market for robotic waste sorting systems. These systems, which employ computer vision and deep machine learning, are capable of detecting and classifying various types of waste materials, thereby automating and optimizing the sorting process. This is particularly beneficial for waste management facilities where manual sorting can be both time-consuming and expensive.

 

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Market Dynamics

Efficiency and Accuracy in Waste Sorting

Robotic waste sorting systems utilize advanced technologies, including sensors, artificial intelligence (AI), and robotic arms, to recognize, select, and sort different elements within the waste stream. This automation reduces the burden on human workers, enhances worker safety by automating hazardous tasks, and improves overall efficiency in waste management processes.

 

Increased Application of Robotic Arms

Robotic arms are becoming increasingly prevalent in waste management facilities. These advanced systems can autonomously handle various waste sorting processes, from identifying the type of waste to picking and placing it in the designated location. This not only saves time and reduces the risk of injury for human workers but also ensures proper sorting of recyclable materials such as plastic, glass, and metal.

 

Innovative Solutions and Market Trends

Key players in the market are introducing high-efficiency robotic waste sorting solutions capable of real-time waste identification and sorting. Companies are launching AI-powered robots designed to handle different types of waste, enhancing the precision and efficiency of waste management practices.

 

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Recent Developments

  • In June 2024, Veolia introduced an innovative robotic arm at its Southwark Integrated Waste Management Facility (IWMF) to optimize operations and improve recycling efficiency. This robot is employed to pick out paper, card, mixed plastics, and beverage cartons from the aluminum line, leaving pure aluminum items for effective recycling.
  • In January 2024, RGS Nordic, a leading waste management company in Denmark, invested in a new robotic sorting plant at one of its facilities in Copenhagen.
  • In April 2021, FANUC partnered with startup Recycleye to introduce its first material sorting machines, capable of identifying, sorting, and picking materials at a rate of 55 picks per minute compared to 40 to 45 picks by humans.

 

Regional Outlook

Europe led the global robotic waste sorting market in 2023, driven by a scarcity of labor willing to work in hazardous environments and rapid advancements in robotics, AI, and machine learning. Asia Pacific also recorded significant progress, with increased urbanization and adoption of advanced technologies in waste management facilities boosting market statistics.

 

Applications and Sectors

Robotic waste sorting technology is employed across various sectors, including plastic, metals, food and beverages, and wood. In the plastics sector, these systems help separate and sort various plastic materials for recycling. In the metals sector, they aid in separating different metal components for recycling. The food and beverages sector uses waste sorting robots to sort food items and ensure their quality, while the wood sector uses them to separate different kinds of wood waste for recycling and other uses.

 

Challenges

Despite the promising growth, the high costs and significant investments required to implement robotic systems pose challenges to market expansion. Additionally, the lack of accurate identification and sorting of certain types of waste materials can hinder market development.

 

Key Players

The robotic waste sorting market features several key players, including ABB, AMP, Bollegraaf, CleanRobotics, EverestLabs Inc., General Kinematics Corporation, Greyparrot, Machinex Industries Inc., NIHOT, Pellenc ST, Recycleye, TOMRA Systems ASA, Waste Robotics Inc., and Zen Robotics Oy. These companies are heavily investing in RD to advance robotic recycling and sorting techniques.

 

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Amit Mohite

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