Humanoid robot shipments nearly triple in first half of 2026

Global humanoid robot shipments topped 22,000 units in the first half of 2026, rising nearly 300% year-on-year, as the industry reaches what researchers call a critical stage for large-scale commercial deployment, according to a report published Wednesday by Counterpoint Research.counterpointresearch

Chinese companies swept the top five global positions, accounting for 86% of total shipments. AGIBOT led all vendors with approximately 9,700 units shipped, capturing over 43% market share, while Unitree followed with more than 7,000 units and a 31% share. Galbot, UBTECH, and Leju Robotics rounded out the top five with approximately 5%, 4.4%, and 2.9% market shares respectively.thestandard+1

Commercial Deployments Accelerate

The report highlights a shift toward real-world industrial applications. AGIBOT's G2 robot has been deployed in clustered configurations on consumer electronics and automotive component production lines through partnerships with Longcheer Technology and Joyson Electronics. Galbot announced successful testing on CATL Contemporary Amperex Technology Co., Limited production lines in March, while UBTECH raised its 2026 shipment guidance for the Walker S series from 2,000–3,000 units to 5,000 units.counterpointresearch

Entertainment and data-collection use cases still account for over 60% of shipments combined, though their share edged down. Service and guidance applications represent roughly 19% of the market, with intelligent manufacturing at 13% and warehousing and logistics at 5%.counterpointresearch

Full-Year Outlook

Counterpoint projects global humanoid robot shipments will exceed 50,000 units for the full year 2026, representing 210% year-on-year growth. The firm expects more pilot projects to move into mass deployment in the second half, particularly at transportation hubs and across automotive value chains.thestandard+1

Over the next five years, service and industrial use cases are expected to supersede entertainment and research applications as the primary demand drivers, while competitive differentiation shifts from model performance toward end-to-end capabilities spanning advanced models, vertical deployment, and data-system construction.counterpointresearch