Pushed by safety regulations, the adoption of ADAS is increasing rapidly – and this is driving multiple sensor adoption. The new Computing and AI for Automotive 2023 report covers processors for ADAS cameras, radars, LiDARs, and in-cabin sensing, as well as processors for ADAS domain controllers. Processors dedicated to the cockpit, including the in-vehicle infotainment main unit, instrument cluster, and telematics, are also discussed.
According to Adrien Sanchez, Technology & Market Analyst, Computing & Software, within the Semiconductor, Memory & Computing division at Yole Intelligence, part of Yole Group: “Car architecture evolution is strongly impacting the processor market, in terms of both units and revenue. Even though automotive industry cycles are rather slow compared to other market segments such as consumer, centralization is expected to progress significantly in the next years”.
Indeed, as Yole Intelligence’s analysts affirm, this evolution has a strong impact on processor units and revenue, as well as on changing technology requirements and processor class breakdown. The software-defined vehicle is another key trend impacting automotive processors, as it is impacting hardware and software roadmaps with new requirements that are challenging traditional automotive companies.
In this context, Yole Intelligence releases its Computing report, Computing and AI for Automotive 2023. With this report, the company, part of Yole Group, gives an overview of computing for safety, ADAS & AD, in-cabin sensing, cockpit, and connectivity. It also provides a scenario for AI within the dynamics of the autonomous automotive market and presents an understanding of AI’s impact on the semiconductor industry.
