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The report provides key elements to find out which LIDAR technology is more likely to win the race towards autonomous driving, based on technical, industrial and economical criteria. Challenges to overcome for adoption by carmakers are detailed for each technology.
One of the major trends that will impact OEM and suppliers businesses is the emergence of new mobility schemes. New users seek more flexibility and lower cost for their trips. The car is seen as a transport service. To meet these demands, new mobility models emerge, especially pay-per-use models such as car/ride sharing, carpooling, ehailing taxi alternatives, and peer-to-peer car rentals.
The race between LIDAR technologies is on. OEMs and suppliers are making huge investments (internally and externally) in the development of LIDAR technologies for autonomous driving and a large number of new LIDAR providers targeting automotive applications are emerging.
Mechanical scanning LIDAR technology (Velodyne, Ibeo) is currently leading the race, with adoption in demonstration vehicles and transport shuttles. However, despite its high resolution, its bulkiness, high costs and lack of robustness will prevent its widespread adoption for high-volume consumer cars.
