Autonomous Vehicles 2025
Page 15 of 25 · WEF_Autonomous_Vehicles_2025.pdf
Autonomous trucking deployment forecast for the four use cases operating on public roads FIGURE 7
Distribution Mid-distance P2P Long-haul Mid-distance H2HExpected share of autonomous trucks in new sales for 2025-2035 by region and use case
USA leads AD truck adoption thanks
to strong TCO benefits, significant driver
shortages and long freight distancesEurope sees high TCO benefits but faces
slower adoption due to cross-border regulatory
hurdles and operational complexityChina lags in adoption due to lower TCO
benefits and higher upfront investmentAdoption could follow a
similar speed to USA and
Europe if the government
chooses to prioritize it
2025 2030 2035 2025 2030 2035 2025 2030 2035 2025 2030 20350% 0% 0% 2%11%22%29%
2%10%13%26%
2%8%15%19%United States Europe China
Source: Boston Consulting Group.Autonomous trucking use cases FIGURE 6
Deployable without limitations Partially deployable Deployment not possibleAnticipated readiness by 2035
– Fixed routes along highways align with L4 strengths
– Regulation is focused on main highway routes
– High-volume corridors need to be upgraded to enable AV operations
– Less infrastructure needed than for long-haul (when transitioning away from
internal combustion engines in line with sustainability objectives)
– Shorter routes are easier to regulate and equip for AD
– Route variability strongly increases technological complexity
– Similar regulatory needs as for mid-distance hub-to-hub use case
– Infrastructure upgrades are more demanding than for hub-to-hub
– Tech readiness is largely dependent on progress of light vehicles
– Likelihood of risk of failure causing human harm will slow regulation
– Complex environments with many road users challenge developments
– Autonomy is best suited to controlled environments and repetitive tasks
– Limited potential for human harm reduces the demand for regulation
– The operating area is restricted, widely mapped and monitoredRationale Use cases Technology Regulation Infrastructure
Long-haul
hub-to-hub
Mid-distance
hub-to-hub
Mid-distance
point-to-point
Intra-city
distribution
Closed
environmentEurope will also reap strong TCO benefits from
long-haul and mid-distance hub-to-hub use cases.
However, estimates suggest slower adoption in
Europe due to cross-border regulatory hurdles
and more complex operational environments. A
pan-European approach is key if the continent is to
rapidly scale these long-haul operations. However,
mid-distance hub-to-hub autonomous trucks could
make up around 26% of new truck sales by 2035.China is projected to follow a slower adoption
pathway, mainly due to lower TCO benefits
and higher upfront investment compared to
conventional options. Government support
could speed up the Chinese trajectory, enabling
deployment to match or even outpace Western
growth rates.
Autonomous Vehicles: Timeline and Roadmap Ahead
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