Industrial robot adoption has surged since 2020, moving beyond pre‑programmed, fixed routes to flexible path planning. That upgrade let machines take on machine tending, palletizing and smart welding, widening the addressable market and setting the stage for the next growth wave.

Analysts at Bernstein, led by Jay Huang, argue the next leap requires complex task planning—robots that can execute long‑sequence, high‑dexterity jobs and collaborate with humans or other machines. They label the underpinning physical AI as a multi‑layer ecosystem of robots, digital twins, multimodal AI software and advanced sensors, projecting a 12% ten‑year CAGR for global shipments.

Because physical AI adds a “brain” and “world” layer without replacing core motion control, robot manufacturers remain central. Demand for vision and tactile sensors should climb sharply, while firms such as Fanuc, Keyence and Mech‑Mind are already expanding into higher‑level software and open‑platform collaborations. Investors will monitor partnership announcements and sensor‑technology rollouts for early signals.