Home > Automotive > Automotive Technology > Automotive Software > Automotive Embedded System Market
Automotive Embedded System Market size was valued at USD 29.1 billion in 2022 and is projected to register a CAGR of 8% between 2023 and 2032. Modern vehicles require sophisticated embedded systems to process data from sensors (such as cameras, LiDAR, and radar) and make real-time decisions for features like lane departure warnings, adaptive cruise control, automated parking, and eventually fully autonomous driving. These systems enhance safety, convenience, and overall driving experience.
For instance, the Mercedez-Benz EQS SUV, launched in September 2023, comes with a Level 2 ADAS system that includes features such as adaptive cruise control, lane centering assist, and blind spot monitoring. It is also available with a Level 3 ADAS system that allows the driver to take their hands off the wheel in certain conditions.
Report Attribute | Details |
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Base Year: | 2022 |
Automotive Embedded System Market Size in 2022: | USD 29.1 Billion |
Forecast Period: | 2023 to 2032 |
Forecast Period 2023 to 2032 CAGR: | 8% |
2032 Value Projection: | USD 60.5 Billion |
Historical Data for: | 2018 to 2022 |
No. of Pages: | 220 |
Tables, Charts & Figures: | 334 |
Segments covered: | Type, Vehicle Type, Enterprise size, Application |
Growth Drivers: |
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Pitfalls & Challenges: |
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Consumer demand for enhanced infotainment, connectivity, and in-car entertainment experiences is propelling the growth of the automotive embedded system market. Vehicles are becoming more connected, offering features like touchscreens, voice recognition, smartphone integration, navigation, and internet connectivity. Embedded systems power these functionalities, providing seamless communication between the vehicle, its components, and external services.
As user expectations for technology-rich driving environments increase, automakers invest in advanced embedded systems to meet these demands. For instance, in November 2022, BMW announced that it would invest ?30 billion in electric vehicles and autonomous technology over the next five years. The company is developing a self-driving car called iNext expected to be launched in 2025.
However, integrating advanced embedded systems in vehicles can increase manufacturing costs due to the need for specialized hardware, software development, and testing. As vehicles become more technologically advanced, the complexity of embedded systems also rises, requiring more resources and expertise for design, implementation, and maintenance. High costs and complexity can deter some manufacturers from adopting or fully integrating advanced embedded systems, especially in lower-priced vehicle segments.