Autonomous Vehicles 2025
Page 19 of 25 · WEF_Autonomous_Vehicles_2025.pdf
Optimize business models
for economic viability
Sustainable business models are vital for
encouraging the long-term success of autonomous
vehicles. For personal vehicles, the strategies
for achieving this will depend on the level of
automation. L0 to L2 capabilities are becoming
increasingly commoditized, requiring automakers
to integrate these costs into standard vehicle
pricing. L2+ is expected to provide the highest
potential for differentiation over the coming years.
For the levels beyond this, high costs and other limiting factors will restrict the market to the
premium segment only until at least 2035.
In commercial applications, autonomous trucks
and robotaxis are expected to provide strong
long-term returns on investment, but substantial
initial capital expenditure remains a barrier.
Moreover, the companies developing the
technology are not necessarily the ones reaping
the rewards, making investment decisions more
complex. Investors must be prepared to take a
long-term perspective, recognizing that their returns
will depend on selecting the right business models
and establishing efficient operations.
Co-create regulation
to enable deployments
Regulatory alignment is essential for ensuring safety
and reliability while accelerating the deployment of
autonomous vehicles. Active collaboration between
regulators and industry is essential, especially given
the fast pace and technological complexity of the
sector’s innovation. Autonomous vehicle deployments will also
benefit from comprehensive policy packages.
Important industrial policies might incorporate
factors such as incentives or encouragement
for urban planning integration.
Table 3 summarizes current policy and regulatory
efforts in China, the US and the EU across seven
different domains. While progress is being made
across all areas, the rate of change varies.Scalable, OEM-agnostic solutions will be a cornerstone
to speed up autonomous mobility developments.
Anup Sable, Chief Technology Officer, KPIT
Autonomous Vehicles: Timeline and Roadmap Ahead
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