Apr.
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2025.04
Source: Content compiled from theelec, thank you.This article is brought to you by Semiconductor Industry Insights (ID: ICVIEW)In Europe, Infineon leads with a market share of 14.1%, surpassing the second place in 2023.
According to the latest report from TechInsights, Infineon Technologies ranks among the top automotive microcontroller suppliers in 2024.
NXP Semiconductors ranks second, followed by STMicroelectronics in third place. Texas Instruments is fourth, and Renesas Electronics is fifth. Other companies in the top ten include onsemi, Micron, Qualcomm, Bosch, and Analog Devices (ADI).
However, the global automotive semiconductor market size decreased from 69.2 billion USD in 2023 to 68.4 billion USD, reflecting a decline in the overall automotive market.
Top Five Automotive Microcontroller Suppliers
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Infineon Technologies 13.4%
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NXP Semiconductors 10.4%
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STMicroelectronics 8.8%
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Texas Instruments 8.4%%
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Renesas Electronics 6.8%
In Europe, Infineon leads with a market share of 14.1%, higher than the second place in 2023. Infineon has also strengthened its influence in North America, becoming the second largest market participant with a share of 10.4%, rising from third to second place.
The company maintains its leading position in the largest automotive semiconductor market, China (market share of 13.9%) and Korea (market share of 17.7%). In Japan, the company ranks second with a market share of 13.2%, following Renesas Electronics.
Peter Schaefer, Executive Vice President and Chief Sales Officer of Infineon’s automotive business, stated:“We have been the global leader in the automotive semiconductor field for five consecutive years, achieving similar success worldwide. Infineon has entered the ranks of the top two automotive semiconductor companies in various regions for the first time in history. This global success reflects our strong product portfolio, excellent customer support, and our commitment to meeting specific customer needs.””
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Asif Anwar, Executive Director of Automotive Market Research at TechInsights, stated:“Semiconductors for advanced driver assistance systems, especially SoCs and memory, are among the best-performing product categories. Infineon excels in microcontrollers used in advanced driver assistance systems and many other applications. Infineon’s market share increased by 3.6 percentage points to 32.0%, performing well in the automotive microcontroller market, which saw an 8.2% year-on-year decline.””
Traditional MCUs primarily perform basic control functions, but with the trend of deep integration of AI and edge computing, the role of the next generation of MCUs has fundamentally changed. They are no longer just simple instruction executors but have become “nerve endings” with intelligent decision-making capabilities. This transformation is driven by the urgent need for real-time performance, low power consumption, and localized processing, especially in areas such as smart homes, industrial automation, and in-vehicle systems.
With the development of autonomous driving technology and the Internet of Vehicles, cars need to process more complex data and perform more tasks, requiring automotive-grade MCUs to have higher processing power and lower energy consumption. In the future, high-performance, low-power MCUs will become mainstream. Safety is one of the core considerations for automotive electronic systems. With the advancement of ADAS (Advanced Driver Assistance Systems) and autonomous driving technology, the requirements for the safety and reliability of MCUs are increasing. This means that future automotive-grade MCUs will need to support higher levels of safety functions and be certified by international safety standards such as ISO 26262.
To enhance computing power and response speed, multi-core architecture automotive-grade MCUs are gradually becoming a trend. Multi-core designs not only improve performance but also better support parallel processing and applications with high real-time requirements. With the development of IoT technology, edge computing is becoming increasingly important in the automotive field. Automotive-grade MCUs need to have certain edge computing capabilities to process large amounts of data in real-time and efficiently communicate between the cloud and local systems.
The concept of software-defined vehicles means that the functions of the vehicle can be enhanced or expanded through software updates. This requires automotive-grade MCUs to have good software programmability and scalability to support flexible software upgrades and service expansions.
*Disclaimer: This article is an original work. The content reflects the author’s personal views, and our reposting is for sharing and discussion purposes only, not representing our endorsement or agreement. If there are any objections, please contact us.END
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