CHEN RUI KE Electronic Company Limited

Intelligent driving drives the rapid growth of automotive semiconductors. Automotive intelligent terminals will become the nerve terminals in the era of intelligence, and automotive chips are the core of helping cars enter the era of intelligence. Large computing power and accurate perception are the basic requirements for automotive intelligence, which will drive the rapid development of semiconductor devices from large computing power core chips to various sensors and radars. Compared with the simple auxiliary driving in the early stage and the L5 automatic driving that only exists in the ideal state, all kinds of intelligent driving and ADAS systems have gradually been widely used in all kinds of vehicles. It is predicted that the penetration of L1/L2 level autonomous driving will reach 50% in 2025, compared to 35% today, while the penetration of L3 level autonomous driving will grow rapidly from 5% in 2020 to 45% in 2035, and the penetration of L4 and above level autonomous driving will also grow from less than 1% today to around 22% in 2035. QYResearch expects the global smart driving-related chips market to grow at a compound annual growth rate (CAGR) of over 20% during 2021-2028. The increasing demand for electric vehicles and the popularity of autonomous driving technologies are the major factors driving its market growth. In addition, the growing demand for advanced driver assistance systems (ADAS) is expected to drive the market growth. Smart driving changes the Automotive Semiconductor Landscape By 2025, the penetration rate of high-level autonomous driving will reach 65.5%, and the market demand for smart driving chips will reach 14 million units per year. So which categories of chips will benefit from the rapid adoption of autonomous driving technology? MCU is the most widely used digital chip in automobiles, the average traditional car will use 70 MCU, and the car equipped with intelligent driving function will use more than 300 MCU, application fields include ADAS, body, chassis and safety, infotainment, power system, etc., almost everywhere. As a result, the market for automotive MCUS is expected to reach nearly $12 billion by 2025, corresponding to a compound average growth rate of 14.1% from 2021-2025, which is significantly faster than the 8% growth rate of the overall MCU market over the next three years. The trend of automotive intelligence has brought several orders of magnitude improvement to the intelligent architecture and algorithm computing power of the car, promoting the rapid shift of automotive chips to SoC chips with stronger computing power. The biggest driving force comes from the rapid popularization of intelligent cockpit technology. Due to the increasing demand for "one chip with multiple screens", intelligent cockpit chips need to support infotainment functions and various instruments at the same time Dial display function, and gradually to the miniaturization, integration, high performance direction. As the most intuitive unit to improve the driving experience, smart cockpit has become another core competitive advantage of new energy vehicles compared with traditional fuel vehicles. According to IHS statistics, the penetration rate of new cars in the global market and the Chinese market of smart cockpit is increasing year by year, and is expected to grow to 59.4% in 2025 and 75.9% in 2025. Autonomous driving chip is one of the most rapidly growing fields in intelligent vehicle chip. Due to the urgent demand of consumers for L3 and above level autonomous driving function, and some countries have opened the test application of L3/L4 level autonomous driving function in closed, semi-closed and low-speed scenes, the autonomous driving core with high computing power Film is bound to usher in a broader market space than before. At present, the required computing power of the car can be comprehensively calculated based on the amount of data collected by the sensors inside the car. For L2 level autonomous driving, the computing power roughly needs 10TOPS. The data show that L3 level autonomous driving requires 80-100TOPS of computing power, and L4 level requires more than 600TOPS. Level 5 is more than 2000TOPS, it is expected that by 2025, the autonomous driving will begin an explosive growth, and the compound growth rate of the autonomous driving chip market with large computing power between 2023and 2030 will be no less than 30%, and gradually become the most economically valuable chip products in the vehicle semiconductor. From the perspective of the overall development trend of autonomous driving, due to the need for a large number of redundant sensor information to be processed, the requirements for terminal computing power are extremely high. At the same time, higher requirements for real-time, energy efficiency and reliability of terminal computing are put forward.

Intelligent driving is inseparable from the application of massive sensors. The core of intelligent driving is the collection and processing of all kinds of information inside and outside the vehicle. By 2027, the global automotive sensor market will reach 324.376 billion yuan with a CAGR of 13.97%. In particular, all kinds of sensor systems that can better serve intelligent driving will become the main force leading the rapid development of the automotive sensor market. Due to the increasingly high requirements for accurate detection, identification, transmission and analysis of environmental information around the car body, the importance of laser radar has gradually become prominent. Lidar is one of the important configurations for high-end intelligent driving vehicles. According to Yole data, the global shipment of lidar in the ADAS market will grow from 200,000 in 2020 to 3.4 million in 2025, with a CAGR of 76.2%. Shipments are expected to reach 26.6 million by 2032. In-vehicle CIS is the core sensor of ADAS, which can make up for the defects of radar in object recognition, and is also the closest sensor to human vision, which is widely used in the automotive field. In the early stage, CIS has been used for driving records, reversing images, parking around and other scenes, and is gradually extended to intelligent cockpit behavior recognition and ADAS assisted driving, and the application potential has begun to become prominent. Due to the addition of autonomous driving functions, the demand for cameras in cars will increase rapidly, and the corresponding demand for CIS will also increase significantly. If L3 and higher autonomous driving can be implemented in 2023, the number of single-vehicle cameras is expected to rise to about 11 to 16 eyes, so that the demand for cameras may be about 1.6 billion at most, and the market size may reach 8 billion to 10 billion US dollars. There is no doubt that the rapid application of intelligent driving has become an irreversible development trend in the automotive industry, which will profoundly change the supply pattern and future development direction of traditional automotive semiconductors. So how to seize the latest trends in the development of automotive electronics market and grasp the future opportunities of automotive semiconductor design and application?