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Global and China Autonomous Driving SoC Research Report 2023: The Popularity of ChatGPT Indicates the Development Directions of Autonomous DrivingDUBLIN, June 9, 2023 /PRNewswire/ -- The "Autonomous Driving SoC Research Report, 2023" report has been added to ResearchAndMarkets.com's offering.  Driving-parking integration boosts the industry, and computing in memory (CIM) and chiplet bring technological disruption.
In driving-parking integration market, single-SoC and multi-SoC solutions have their own target customers. The popularity of ChatGPT indicates the development directions of autonomous driving: foundation models and high computing power. For large neural network models such as Transformer, the computation will multiply by 750 times every two years on average; for video, natural language processing and speech models, the computation will increase by 15 times every two years on average. It is conceivable that Moore's Law will cease to apply, and the `storage wall` and `power consumption wall` will become the key constraints on the development of AI chips. CIM AI chips will be a new technology path option for automakers. In the field of autonomous driving SoC, Houmo.ai is the first autonomous driving CIM AI chip vendor in China. In 2022, it successfully lightened the industry's first high-compute CIM AI chip on which the intelligent driving algorithm model runs smoothly. This verification sample uses a 22nm process and boasts computing power of 20TOPS, which can be expanded to 200TOPS. Noticeably the energy efficiency ratio of its computing unit is as high as 20TOPS/W. It is known that Houmo.ai will introduce a production-ready intelligent driving CIM chip soon, and we will share its performance in the report. In the future, as with power batteries, chips will become an investment hotspot for large OEMs. That OEMs make chips is an extremely controversial issue. In the industry, it is a popular belief that on one hand, OEMs cannot rival specialist IC design companies in development speed, efficiency, and product performance; on the other hand, only when the shipment of a single chip reaches at least one million units can its development cost can be continuously diluted to make it cost-effective. But in fact, chips have played an absolutely dominant part in intelligent connected new energy vehicles in performance, cost, and supply chain safety. Compared with the typical fuel-powered vehicle that needs 700-800 chips, a new energy vehicle needs 1,500-2,000 units, and a highly autonomous new energy vehicle even needs as many as 3,000 units, some of which are highly valued, high-cost chips that may be in short supply and even out of stock. It is obvious that large OEMs do not want to be bound by some chip vendor, and they even have already begun to manufacture chips independently. In Geely's case, the automaker has spawned 7nm cockpit SoCs and installed them in vehicles, and has also accomplished IGBT tape-out. The autonomous driving SoC AD1000, jointly developed by ECARX and SiEngine, is expected to be taped out in March 2024 at the earliest. We predict that as with power batteries, chips will become an investment hotspot for large OEMs to strengthen their underlying basic capabilities. In 2022, Samsung announced that it will make chips for Waymo, Google's self-driving division; GM Cruise also announced independent development of autonomous driving chips; Volkswagen announced that it will establish a joint venture with Horizon Robotics, a Chinese autonomous driving SoC vendor. The technical barriers for chip fabrication are not particularly high. The primary threshold is enough capital and order intake. The chip industry now adopts the block-building model, namely, purchasing IPs to build chips including CPU, GPU, NPU, storage, NoC/bus, ISP and video codec. In the future, as chiplet ecosystems and processes get improved, the threshold for independent development of autonomous driving SoCs will be much lower for automakers just need to buy dies (IP chip) directly and then package them, with no need to buy IPs. In the long run, OEMs with millions of sales are feasible to make chips on their own. Key Topics Covered: 1 Autonomous Driving SoC Market and Configuration Data 1.1 Autonomous Driving SoC Market Size and Market Share 1.2 Autonomous Driving SoC Deployment Schemes of OEMs 1.3 Application and Configuration Strategy of Autonomous Driving SoC in Driving-parking Integration 1.4 Application Trends of Autonomous Driving SoC in Cockpit-driving Integration 2 Autonomous Driving SoC Selection and Cost 2.1 Comparison of Characteristics between Autonomous Driving SoC Vendors and Their `Turnkey` Solutions 2.2 Autonomous Driving SoC Selection 2.3 Cost of Autonomous Driving SoC 3 Development Trends of Autonomous Driving SoC 3.1 Is It Feasible for OEMs to Independently Make Chips (Autonomous Driving SoC) 3.2 Application of Chiplet in Autonomous Driving SoC 3.3 Application of Computing In Memory (CIM) in Autonomous Driving SoC 4 Global Autonomous Driving Chip Vendors 4.1 NVIDIA 4.2 Mobileye 4.3 Qualcomm 4.4 TI 4.5 Renesas 4.6 Ambarella 4.7 NXP 4.8 Xilinx 4.9 Tesla 5 Chinese Autonomous Driving Chip Vendors 5.1 Horizon Robotics 5.2 Black Sesame Technologies 5.3 SemiDrive 5.4 Huawei 5.5 HOUMO.AI 5.6 Chiplego 5.7 Kunlunxin 5.8 RHINO 5.9 Dahua Leapmotor Lingxin 5.10 Cambricon SingGo For more information about this report visit https://www.researchandmarkets.com/r/sb06ts About ResearchAndMarkets.com ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Media Contact: Logo: https://mma.prnewswire.com/media/539438/Research_and_Markets_Logo.jpg
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