Cockpit domain controller and chip in 2023Q2: by intelligent cockpit level, L1 surged by 105% on a like-on-like basis, and L2 soared by 171%.
On May 17, 2023, the “White Paper on Automotive Intelligent Cockpit Levels and Comprehensive Evaluation” prepared by China-SAE together with industry professionals was officially released. It defines five levels of intelligent cockpits from L0 to L4.Referring to China-SAE's automotive intelligent cockpit levels and combining cockpit functions of mainstream vehicle models on market, the publisher presents the intelligent cockpit levels in the form of specific function parameters, and divides intelligent cockpit into 4 levels.
This Report only studies vehicle models with both L1+ intelligent cockpit functions (including L1, L2, L3 and L4) and cockpit domain controllers.
According to the publisher, from 2021Q1 to 2023Q2, the installations of intelligent cockpit domain controllers in passenger cars in China showed an overall upward trend. In 2023Q1, the installations surged by 96.7% on an annualized basis to 964,800 units, and the installation rate was 23.7%; in 2023Q2, the installations reached 1,325,700 units, soaring by 119.7%, and the installation rate was 25.6%.Currently, cockpit domain controller and intelligent driving domain controller are very similar in hardware architecture, both being the SoC+MCU solution. The core of cockpit domain controller is cockpit SoC, and single-chip multi-system solutions prevail at present. In 2023Q2, single-SoC solutions swept 92.6%, largely from Qualcomm and AMD; dual-SoC solutions made up 7.4%, mainly Qualcomm 8155.
From the sales of models of differing intelligent cockpit levels, it can be seen that in 2023Q2, the sales of models equipped with L1 intelligent cockpit with cockpit domain controller reached 950,000 units, jumping by 104.7% from the prior-year period, of which joint venture and Chinese independent automakers each occupied more than 40%; the sales of models with equipped with L2 intelligent cockpit with cockpit domain controller were 357,000 units, a like-on-like spurt of 170.5%, of which Chinese independent automakers accounted for 61%, and emerging car brands shared 32.4%; the sales of models equipped with L3 intelligent cockpit with cockpit domain controller were 1,8000 units, of which emerging car brands swept 98.8%.
Different types of OEMs vary greatly not only in layout of intelligent cockpit level but also in selection of cockpit domain control chip for vehicle models in different price range.
When it comes to intelligent cockpit chips, people often think that the vast majority of master chips for models with an intelligent cockpit are Qualcomm SA8155P. Actually, the publisher's statistics shows that in models priced at RMB100,000-200,000, Qualcomm SA8155P boasts the highest share, but only 38%. In the intelligent cockpit domain control master chip market for models in the price ranges of RMB200,000-300,000 and RMB300,000-500,000, Qualcomm SA8155P makes up 21.9% and 31.2%, respectively.The huge development potential of intelligent cockpits and the high differentiation in market segments bring market opportunities to latecomers of intelligent cockpit chips and domain controllers as well.
This Report provides in-depth analysis of intelligent cockpit domain controller and master chip market segments via a detailed and accurate database, and also demonstrates the industry development trends through expert interviews. Intelligent cockpit domain controller and SoC players and participants can also know the competitive pattern of the industry in this Report, and thus find their niche.This product will be delivered within 3-5 business days.
Table of Contents
1 Overall Data Trends
2 Data and Dynamics of Cockpit Domain Controller Companies
3 Data and Dynamics of Cockpit Domain Controller SoC Vendors
4 Forecast Data and Trends
Companies Mentioned
- FindDreams Technology
- Megatronix
- Continental
- Desay SV
- Yanfeng Visteon
- Harman
- Bosch
- Panasonic
- Qualcomm
- AMD
- Intel
- Renesas
- Samsung
- NVIDIA
- MediaTek
- Huawei
- TI
- UNISOC
- SiEngine
Methodology
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