China is mounting a determined push to dominate the emerging market for humanoid robots, backed by substantial government investment and a rapidly expanding domestic industry. The country now accounts for the vast majority of humanoid robot installations globally, leaving the United States and other Western nations struggling to compete, according to recent reports.
More than 140 companies are now operating in China’s humanoid robotics sector, producing robots at scale and deploying them in real-world settings ranging from factories and hotels to offices and even traffic management, report in the Wall Street Journal detailed. This surge in activity is fueled by a strategic initiative by the Chinese government to lead in what it terms “embodied AI” – the integration of artificial intelligence with physical systems – within the next five years.
Investment in the sector has been significant. Cities like Beijing have established investment funds exceeding $26 billion to finance the industry, according to data cited by Morgan Stanley. Government agencies and state-owned enterprises are also actively involved, showcasing robots in public spaces like museums and events.
The rapid development in China hasn’t gone unnoticed by industry leaders elsewhere. Elon Musk, whose Tesla is also pursuing humanoid robotics with its Optimus project, acknowledged China’s strength in , stating, “China is an ass-kicker, next level. To the best of our knowledge, we don’t see any significant [humanoid robot] competitors outside of China.”
Currently, Unitree and Agibot are leading the charge. In , Unitree sold 5,500 humanoid robots, making it the world’s top seller, while Agibot followed closely behind with 5,168 units. These two companies together represent a significant portion of the approximately 13,000 to 18,000 humanoid robots sold globally last year, according to data from Omdia and IDC. China’s dominance extends to over 80% of global installations, a figure confirmed by Counterpoint Research.
The Chinese approach mirrors the playbook that propelled the country to a leading position in the electric vehicle market: early state support, industrial policy, and rapid scaling. Agibot’s open-source strategy and diverse product range, coupled with Unitree’s expertise in dynamic motion and balance control, have been key to their success.
However, the industry remains nascent and faces challenges. Analysts caution that the humanoid robot sector could be experiencing a bubble, and the practical application of the technology is still evolving. While the global humanoid robots market is estimated to reach $38 billion by and potentially $5 trillion by according to Morgan Stanley, widespread adoption is not expected until the late .
Recent data suggests that the initial promise of humanoid robots may be overstated. Early deployments reveal that robot workers are currently operating at less than half the efficiency of their human counterparts, based on metrics like task completion speed, reliability, and sustained output. The core issue isn’t a lack of cognitive intelligence – thanks to advancements in large language models – but rather the difficulty of translating plans into reliable physical movement in real-world environments. These environments are often unpredictable and present “edge cases” that robots struggle to handle.
This productivity shortfall is leading companies to view humanoid robots as long-term investments rather than immediate solutions for boosting efficiency. Many pilot programs require significant human supervision, frequent adjustments, and resets, which diminish the anticipated benefits. The bottleneck, as highlighted in recent analysis, lies in physical execution, not in the robots’ ability to understand instructions.
Despite the challenges, the momentum in China is undeniable. The country’s combination of policy support, public investment, a mature supply chain, and advancements in both AI software and hardware has created a favorable environment for innovation and growth in the humanoid robotics sector. The coming years will be critical in determining whether this early lead translates into long-term dominance, and whether the technology can deliver on its potential to reshape manufacturing, labor, and beyond.
