The automotive market is undergoing a tremendous amount of rapid change. Automotive manufacturers are exploring the potential of adding various new functions and reconfiguring existing functions to all include some level of intelligence. This covers the range from merely intelligent functions all the way to fully autonomous driving functions that incorporate some level of Artificial Intelligence. A significant portion of designs, revenues and unit shipments will come from AI SoCs that use the RISC-V architecture in the next few years. Semico anticipates the adoption rate to be even higher over time in the Automotive sector. A new report from Semico Research, Analyzing the Automotive Market Potential for RISC-V CPU SIP (SC119-22) forecasts the Advanced RISC-V AI SoCs High-end Passenger Car market segment to reach $819M dollars by 2027.
"Against this backdrop of architectural and functional exploration are the current supply problems of semiconductors aimed at automotive applications and the worldwide supply chain problems jointly caused by disruptions in the labor force and fluctuations in demand both caused by the COVID-19 pandemic," says Rich Wawrzyniak, Semico Principal Analyst for SoC and ASIC Research. "In order to secure a steady supply of the semiconductors needed to produce their vehicles in a timely manner, most, if not all, of the automotive manufacturers have embarked on creating their own internal SoC design groups with the intention of using the silicon foundry network to supply the parts. They will still use off-the-shelf parts wherever possible, but given both the changing application requirements and the uncertainty of exactly which functions or the implementation of those functions will be the right combination, the automotive manufacturers are acting to gain more control over their own destinies by designing their own solutions."
Key findings in the study include:
The report, Analyzing the Automotive Market Potential for RISC-V CPU SIP (SC119-22), looks at the impact RISC-V is having on the SIP, SoC, and AI SoC markets, as well as the SoC design landscape for the Automotive application category. At 113 pages long, it contains 80 tables and 78 figures. The report analyzes 6 vehicle types and the three types of SoCs being used in them today:
SoC Types
Vehicle Types
Proposed or actual AI functions profiled:
Collision Avoidance
Night Vision
Engine Control
Diagnostics
ADAS
AI Arbitration
Security
Blind Spot Detection
Lane Departure
Adaptive Braking
Cruise Control
Hybrid Control
IVI (Infotainment)
Backup Camera Systems
Park Assist
4WD / AWD
Battery Start / Stop
For pricing and additional information contact Rick Vogelei at (480) 435-8564 or email him.