Rise in need for efficiency and accuracy in sorting waste and increase in application of robotic arms in waste management facilities are primarily augmenting the robotic waste sorting market value.

Autonomous waste sorting systems employ computer vision systems and deep machine learning to detect and classify various types of waste materials. These systems automate and optimize the waste sorting process, which can be time-consuming and expensive for waste management facilities.