Learning Type (Motor Babble, Imitation, Knowledge Acquisition)
Motor babble segment is expected to hold cognitive robotics market share of more than 42% by 2037 due to its crucial role in trial-and-error learning in robots. This type of learning is particularly important for those tasks where adaptation is needed in dynamic environments, for example, manufacturing and logistics. In May 2024, Vention launched AI-powered capabilities for its Manufacturing Automation Platform, emphasizing how AI makes motor babble intrinsic within making robots more adaptable. This would allow robots to have broad applications in industries where flexibility and precision are required.
Application (Aerospace & Defense, Automotive, Consumer Electronics, Healthcare and Commercial)
In cognitive robotics market, automotive segment is set to dominate revenue share of over 31% by 2037, driven by the reliance of the industry on robotics for assembly, inspection, and logistics. With increasingly superior perception and decision-making capabilities, robots will continue to economize production lines by eliminating errors. For instance, in April 2024, Sanctuary AI partnered with Magna International to manufacture specific AI-driven robots that would meet the manufacturing demands and highlight why robotics is so crucial in automotive efficiency. Such developments ensure that the automotive industry remains one of the significant contributors to cognitive robotics market growth.
Our in-depth analysis of the cognitive robotics market includes the following segments:
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Author Credits: Richa Gupta
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