China humanoid robot production surges as demand lags behind
China has rapidly scaled up the production of humanoid robots, securing a dominant position in the global robotics supply chain, while signs of weak demand raise concerns about a potential imbalance in the sector’s growth trajectory.
The country accounted for roughly 85 percent of global humanoid robot shipments in 2025, according to industry research cited in the report. Out of more than 13,000 units delivered worldwide last year, Chinese firms AGIBOT and Unitree each shipped over 5,000 robots. By comparison, United States-based competitors such as Figure AI and Tesla delivered only a few hundred units or fewer, underscoring a widening production gap between China and other advanced economies.
Forecasts from major financial analysts suggest that China’s humanoid robot sales could more than double in the current year to around 28,000 units. Some projections place the long-term global market value at as much as 5 trillion dollars by 2050. Yet the same analyses emphasize a critical limitation. Many humanoid robots remain closer to prototypes than fully functional machines capable of operating reliably in unpredictable real-world environments.
Industry specialists point to structural weaknesses that continue to constrain adoption. Production costs remain high, mechanical systems are still fragile, and most robots depend on tightly controlled settings to perform tasks consistently. China is now home to more than 140 humanoid robot manufacturers and over 330 distinct models, but policymakers have already warned of overheating risks and a possible speculative bubble driven by rapid expansion rather than stable demand.
Experts also stress the gap between industrial ambition and market readiness. Some venture capital analysts describe use cases as limited and fragmented, preventing mass deployment in households or workplaces. While companies such as Unitree report early revenue growth and improving financial performance, industry founders acknowledge that training robots to perform complex, multi-task functions requires years of data collection and refinement. As a result, production capacity is advancing faster than real-world adoption, leaving the sector in a phase of rapid but uneven development.
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