Korean Media: 300% Surge, China Dominates Humanoid Robot Market!
On September 21, South Korean media outlet Edaily published an article stating that global humanoid robot shipments surpassed 22,000 units in the first half of this year, marking a nearly 300% year-on-year increase. Data shows that Chinese companies, including Agibot and Unitree Robotics, captured more than 70% of the global market share, far outpacing competitors.
A report from Counterpoint Research indicates that the global humanoid robot market reached a pivotal point toward large-scale commercialization by mid-2026, with year-on-year growth approaching 300%. The firm forecasts that total annual shipments will exceed 50,000 units this year, representing a 210% increase compared to last year.
In terms of market share, China-based Agibot leads with a 43.1% share, shipping approximately 9,700 units in the first half of the year. Agibot is expanding its deployment in industrial applications, targeting the Chinese entertainment and performance rental market with its X2 model, while pursuing integration into consumer electronics and automotive parts production lines through its G2 model.
Unitree Robotics secured second place with over 7,000 units shipped via its G1 series, capturing a 31.1% market share. Galbot ranked third with more than 1,100 units (5.0% share), leveraging specialized models designed for smart pharmacies and logistics hubs. Ubtech recorded fourth place with 1,000 units (4.4% share), while Leju Robotics placed fifth with 650 units (2.9% share).
By application segment, entertainment and performance (33.6%) and data generation and research (27.0%) together accounted for over 60% of total shipments. Service and guidance applications followed with 19.0%, while smart manufacturing (12.8%) and warehousing logistics (4.9%) ranked third.
Counterpoint Research analysis highlights that service and industrial sectors will be the primary drivers of humanoid robot demand over the next five years. The firm also predicts that competition will shift from basic metrics such as model performance or production speed to “closed-loop capabilities,” encompassing foundational model development, implementation in specific vertical use cases, and the construction of data platforms.
Original source: toutiao.com/article/1876926920420364/
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