Robotics in Mobility – Key Insights (2026)
Report

Robotics in Mobility – Key Insights (2026)

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The report does not provide explicit country-level data on Switzerland in the context of robotics or mobility startups.

  • Robotics in mobility is not a standalone vertical but a core enabling layer across AI, autonomy, and industrial systems.
  • Switzerland is not specifically represented, while Europe overall shows strong technical capability but declining funding share globally.

Robotics as a Cross-Sector (Horizontal) Technology

  • Robotics is described as a horizontal innovation layer, often not fully captured in mobility-specific datasets.
  • Many robotics-driven innovations are embedded in:
    • AI systems
    • automation
    • industrial processes
  • As a result, robotics activity is systematically underestimated in VC statistics.

Growth Areas: Autonomous & Robotics-Driven Systems

  • Strong funding activity in autonomous and robotics-enabled mobility systems, including:
    • Autonomous freight (e.g., $151.1M round)
    • Autonomous vehicles and software
    • Unmanned ground vehicles
  • Robotics is particularly visible in:
    • Autonomous & sensor technologies (leading funding segment)
    • Vehicle production and logistics automation

 Defence & Dual-Use Robotics Acceleration

  • Funding in robotics-linked defence and dual-use mobility technologies increased 4× over 5 years.
  • Key domains:
    • Drones (logistics, military)
    • Autonomous ground vehicles
    • Autonomous electric trucks

AI–Robotics Convergence (“Physical AI”)

  • Robotics is tightly coupled with AI, particularly:
    • Physical AI embedded in vehicles, fleets, and infrastructure
  • Mobility is identified as a primary testbed for robotics + AI integration due to:
    • structured environments (roads, rules)
    • clear feedback loops (safety outcomes)
  • Future trajectory:
    • Shift toward distributed intelligence in systems (sensors + components)
    • Movement from centralized AI to embedded

Industrial Robotics & Infrastructure Use Cases

Examples of robotics applications highlighted:

  • Automated battery disassembly systems (industrial robotics)
  • Predictive maintenance systems (AI + robotics in transport infrastructure)
  • Autonomous trains and logistics systems

Trend:

  • Robotics is shifting toward:
    • efficiency, cost reduction, and infrastructure optimization
    • less visible, non-consumer-facing applications

Investment Trends Affecting Robotics

  • Mobility VC funding declined to $4.8B in 2025 (-27% YoY)
  • Capital is being reallocated toward AI and defence, indirectly shaping robotics growth.
  • Robotics-related innovation persists but is:
    • increasingly funded via non-VC instruments (debt, PE)
    • embedded in broader industrial systems