Goldman Sachs sharply raised its humanoid robot forecast to 6.5 million units by 2035, valuing the market at $138 billion, driven by faster AI progress, lower hardware costs, and labor shortages in manufacturing and logistics. The new forecast represents a meaningful upward revision from earlier projections and reflects a market that is moving from research demonstration to production deployment faster than most analysts expected.
The numbers from the field back up the optimism. At the Humanoid Robots Summit in Stuttgart on September 9, AgiBot's VP Europe Simi Wang reported fifteen thousand units shipped cumulatively by August 2026 after two and a half years in market — all deployed rather than warehoused, CE certified for Europe, with the customer owning the data they collect. The units on stage at the summit were the same ones that ship to customers, a signal that the company has moved past demonstration-unit territory into genuine production hardware.
The data infrastructure behind humanoid robots is emerging as a bottleneck that may matter more than hardware. AgiBot launched its MEgo Engine, a one-stop physical AI data platform, and its Maniformer division in April — built on the thesis that the bottleneck is data rather than hardware and that robots move slowly because training data is insufficient. Kinetic Blocks opened in beta on September 1 with twelve data vendors under MoU, covering egocentric human video, teleoperation recordings, and robot execution and action data. Every dataset is scored through KBQS before listing and delivered in LeRobot v3.0 format with chain of custody documentation attached.
The market sizing varies widely by analyst, but the direction is consistent. Roland Berger projects a humanoid robot market of up to $750 billion by 2035 and up to $4 trillion by 2050 — comparable in scale to the automotive industry today. Deloitte estimates annual unit shipments for industrial humanoids at 5,000 to 7,000 in 2025, rising to 15,000 in 2026, at an average price of $14,000 to $18,000 per unit — a market worth around $210 million to $270 million in 2026 that could reach $600 million to $1 billion by 2032.
The strategic implication for industrial companies is clear: humanoid robots should be treated as a core strategic market rather than a side bet, and they need to be embedded in a holistic physical AI strategy rather than treated as standalone technology initiatives. Humanoids increasingly need to be integrated into broader automation environments and existing factories, where they complement — rather than replace — traditional industrial robots, collaborative robots, autonomous mobile robots, and conveyor systems. The goal of early pilots is not immediate large-scale automation but accumulation of operational experience before the competitive window narrows.
Organizations that develop in-house expertise in data management, robot supervision, and system integration will scale deployments faster and retain more strategic control than those that rely entirely on external vendors. Leading AI companies should also evaluate expanding into physical AI and robotics directly — through internal development, combining advanced AI models with robotic platforms, or pursuing partnerships with industrial hardware companies.