J.P. Morgan Projects 400,000 U.S. Humanoid Robots by 2030, Citing Shift to Commercial Deployment

J.P. Morgan estimates that humanoid robot production in the United States will reach 300,000 to 400,000 units annually by 2030 and roughly 1.5 million by 2035, according to a research note published Thursday. The bank frames the forecast as a signal that the industry is moving from demonstrations to commercial deployment in manufacturing, logistics and warehousing [6].

The note identifies component suppliers—makers of actuators, motors and vision systems—as the “biggest near-term opportunity,” with that market potentially approaching $30 billion by 2035. The brokerage names Timken, Robotis, Leader Drive, Orbbec and Cognex as favored suppliers [6].

Drivers and constraints

The bank cites three main drivers: persistent labor shortages, improving unit economics, and rising production capacity. It estimates humanoid robot costs are nearing parity with human labor costs, and that multi-shift operation could yield about $100,000 in annual savings per customer [6].

At the same time, the note lists binding near-term bottlenecks: hands, actuators, “the brain” (AI compute and training data), and overall production capacity. Most U.S. manufacturers outside Tesla are targeting just 10,000–30,000 units per year, implying the 400,000-unit aggregate may rely heavily on a few large players scaling rapidly [6].

Policy tailwind?

J.P. Morgan also flagged a Trump administration finding that imported robotics and industrial machinery pose national security risks, which could lead to tariffs or other measures to boost domestic production [6].

Named players

The note highlights five U.S. humanoid platforms: Tesla’s Optimus, Agility Robotics’ Digit, Boston Dynamics’ Atlas, Figure AI’s Figure robots, and Apptronik’s Apollo. Tesla is implicitly treated as the volume leader; the 10,000–30,000 unit range applies to “most US manufacturers outside Tesla” [6].

What the forecast doesn’t show

The research note is a supply-side projection built on cost curves and capacity plans, not a tally of confirmed orders or deployed fleets. Public data does not provide current installation numbers, customer rollout timelines, or reliability data for multi-shift operation. The $100,000 annual savings figure is an estimate contingent on multi-shift deployment, which itself depends on solving the cited hardware and software bottlenecks.

J.P. Morgan expects value creation to shift over time from component suppliers to robot makers and platform integrators—a standard industry maturation thesis that assumes the technical and commercial milestones are met on schedule.

Whether the industry hits 400,000 units by 2030 will depend on whether the named bottlenecks clear faster than they have in prior automation cycles. The forecast is a concrete bet by a major bank, but it remains a bet.