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Counterpoint: NVIDIA leads humanoid robot AI accelerator market
Counterpoint Research forecasts cumulative global shipments of humanoid robot AI accelerators will exceed one million units by 2030, with a 144% compound annual growth rate from 2026 to 2030. NVIDIA leads the GPU segment through its full-stack ecosystem, while Qualcomm emphasizes energy efficiency and lower bill-of-materials costs. Tesla and XPeng are adapting in-house automotive chip technology for humanoid robots.

What to know
- 01
The report expects GPUs to remain the main computing architecture in the near term, while AI ASICs are also developing rapidly.
- 02
Qualcomm has secured design collaborations with Neura Robotics, VinMotion, Booster Robotics and Figure AI, but its shipment volumes remain well below NVIDIA’s.
Why it matters
The report provides context for competition in humanoid robot computing through its discussion of architectures, energy efficiency and bill-of-materials costs.
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