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Omdia: Global humanoid robot shipments are expected to exceed 10,000 units by 2027, with a compound annual growth rate of 2024-2030

2024-08-01

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Zhitong Finance APP learned that according to Omdia's latest research report "Robot Hardware Market Forecast 2021-2030", global humanoid robot shipments are expected to exceed 10,000 units by 2027 and reach 38,000 units by 2030. This means that the compound annual growth rate from 2024 to 2030 will reach 83%.

The initial use cases for humanoid robots are mainly concentrated in the automotive manufacturing sector, as companies such as Tesla and NIO have pioneered the use of humanoid robots in this field. Humanoid robots also have potential in many other fields, including general manufacturing and logistics tasks, retail, catering, customer service and healthcare. In addition to the companies mentioned above, there are several startups also focusing on humanoid robots, including Agility Robotics, Dahua, Xiaomi, Figure, Fourier, UBTECH and Yushu.

Despite the optimistic predictions, humanoid robotics technology is still in its infancy. The complexity of these robots makes mass production and widespread deployment tricky, and most are still in the experimental or proof-of-concept stage. Large-scale implementation may still be several years away.Omdia Chief Analyst Su Lianjie commented:: “Chinese companies such as Dahua are exploring integrating basic models into humanoid robots to enable natural language interaction between humans and robots.”

More importantly, the hot sales of humanoid robots coincide with the growing demand for robotic automation around the world. Omdia predicts that the application of robotics in the enterprise and industrial fields will achieve strong growth, mainly driven by automated guided vehicles, autonomous mobile robots, quadruped robots and humanoid robots.

Su Lianjie concluded, “With the advancement of sensor fusion and navigation algorithms, robots are becoming safer. Vendors are using AI for task training, path planning and optimization, fleet management, and human-machine interface. Predictive AI and generative AI will play an important role in democratizing AI in robotics.”