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      Snap Chart

      Humanoid Robots: How Early Commercial Exploration Can Lead to Large-Scale Use

      Although early uses exist, core technologies are years away from offering human-level capability.

      By Xin Cheng, Anne Hoecker, Peter Hanbury, and Arjun Dutt

      Snap Chart

      Humanoid Robots: How Early Commercial Exploration Can Lead to Large-Scale Use
      en

      The trajectory of humanoid-robot adoption depends on the supporting technology, which is progressing unevenly. Intelligence and perception are advancing quickly but are not yet delivering fully autonomous capabilities, while substantial bottlenecks exist around the supporting power systems and sensor density.

      Large-scale penetration of humanoid robots hinges on technological improvements, which will ultimately lead to higher demand. In addition, the market will not reach maturity until positive ROI is measurable and users develop more risk tolerance. Safety issues and privacy concerns will need to be addressed as robots move into new commercial and consumer use areas.

      In the coming decade, humanoid robots will move out of the exploration phase into large-scale penetration in three waves:

      1. Industrial: Automotive, mining, construction, and more
      2. Commercial: Professional cleaning, healthcare, and hospitality (e.g., tour guide work)
      3. Consumer: Domestic cleaning, education

      In the future, a hybrid robot model may emerge, blurring the lines between non-humanoid robots and humanoids.  

      1. Non-humanoid robots/machines will execute highly repetitive workflows.
      2. Humanoid robots will perform only specific tasks, working as flexible generalists. They will serve as a complement to non-humanoid robots that specialize in repetitive work—each playing to their strengths.
      3. Humans will focus on strategic oversight (e.g., planning, workflow orchestration, and risk management).

      Humanoid robots are on the way, but their success depends as much on economics and trust as on technology.

      Authors
      • Headshot of Xin Cheng
        Xin Cheng
        Partner, Beijing
      • Headshot of Anne Hoecker
        Anne Hoecker
        Partner, Silicon Valley
      • Headshot of Peter Hanbury
        Peter Hanbury
        Partner, San Francisco
      • Headshot of Arjun Dutt
        Arjun Dutt
        Partner, San Francisco
      Contact us
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      Published in January 2026
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      • Semiconductors
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