Summary
This report analyzes and forecasts the In-Vehicle semiconductor sensor market, covering marker size, innovative products, advanced technologies, applications, and major manufacturers.
The focus is primarily on environmental perception sensors used in autonomous driving, including innovative products like LiDAR, millimeter wave radar, vehicle cameras, and ultrasonic radar. The report elaborates on market trends, the application of these sensors in various vehicle models, and the landscape of suppliers.
1 Overview of the Automotive Sensor Industry
1.1 Automotive Sensor Market
In 2022, the global vehicle sensor marker size is $7.8 billion, with shipments valued at $5.4 billion. CMOS image sensor, radar, magnetic sensor were the top three categories, accounting for $1.74 billion, $1.53 billion, and $1.52 billion respectively. In 2023, the global automotive market shipped 6.5 billion sensors, generating $9.3 billion in revenue. By 2029, the market is expected to grow to $14.3 billion, with worldwide sensor shipments reaching 8.8 billion.
1.2 Types of Automotive Sensors
Exhibit 1: Distribution of Automotive Sensors
Vehicle sensors are divided into two categories: body sensing sensors and environment sensing sensors
- Body sensing sensors are distributed throughout the vehicle and are widely used in the power system (three electric systems in new energy vehicles), chassis system, and body system. These sensors enable the car to perceive its state and make decisions accordingly. Currently, MEMS sensors are the main type and are becoming increasingly robust and mature.
- Environment sensing sensors can be regarded as the vehicle’s eye, capable of detecting the surroundings of the car body. Different types of intelligent driving perception systems have varied applicable scenarios, limitations, advantages and disadvantages, and costs.
Exhibit 2: Classification of Automotive Sensor Products
Note: A B-class car is currently equipped with more than 90 sensors, including about 45-60 sensors in the powertrain, more than 20 in the body system, and 30-40 sensors in the chassis system.
1.3 Mainstream Sensors for Autonomous Driving
Autonomous vehicles perceive their surroundings using various types of sensors, primarily including car cameras, ultrasonic radar, millimeter-wave radar, and LiDAR.
These sensors work in concert, complementing each other’s strengths and compensating for their weaknesses, to provide a comprehensive understanding of the environment. The fusion of data from these sensors allows autonomous vehicles to detect, classify, and track objects, predict their movements, and make informed decisions in real time to ensure safe and efficient operation.
Exhibit 3:
Comparison of Four Mainstream Sensors for Autonomous Driving
Due to varying autonomous driving technologies, the levels achieved and the sensor required differ. Currently, Level 2 autonomous driving is the mainstream among global vehicle manufacturers. The approximate number of sensors needed for each level is shown in the table below: