Smarter Roads Ahead: Automotive LiDAR SoC Market to Surge at 22.3% CAGR, Reaching $212.7 Billion, Globally, by 2033

OREGON, DE, UNITED STATES, March 5, 2025 /EINPresswire.com/ -- Allied Market Research published a report, titled, “Automotive LiDAR system-on-chip (SoC) Market By technology type (mechanical LiDAR, and solid state LiDAR) By vehicle type (passenger vehicles, and commercial vehicles) By application (Adaptive Cruise Control (ACC) , Lane Keeping Assistance System (LKAS) , Traffic Jam Assist (TJA) , Automated Parking System (APS) , and others) : Global Opportunity Analysis and Industry Forecast, 2022-2032”. The global automotive LiDAR system-on-chip (SoC) market were valued at $28.6 billion in 2023 and is estimated to reach $212.7 billion by 2033, exhibiting a CAGR of 22.3% from 2024 to 2033.

𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐒𝐚𝐦𝐩𝐥𝐞 𝐑𝐞𝐩𝐨𝐫𝐭 𝐚𝐭: https://www.alliedmarketresearch.com/request-sample/A323750

The autonomous driving SoC market growth is driven by advancements in artificial intelligence and machine learning technologies, enhancing the capabilities of self-driving vehicles. The global autonomous driving SoC market is growing due to several factors such as advancements in AI and deep learning technologies, regulatory push for autonomous vehicles, and growing investments and partnerships. However, the technological challenges and complexity, and high cost restrains the development of the market. In addition, vertical integration and value-added services, and technological innovation and differentiation will provide ample opportunities for the market's development during the forecast period. The autonomous driving SoC market size is expected to grow significantly in the coming years due to advancements in AI and automotive technologies.

An autonomous driving System-on-Chip (SoC) refers to a specialized integrated circuit designed to power and control various functions within autonomous vehicles. This SoC serves as the brain of the vehicle, handling complex computations, data processing, sensor fusion, decision-making, and control tasks necessary for autonomous driving. Integration with various sensors such as cameras, LiDAR, radar, and ultrasonic sensors to gather real-time data about the vehicle's surroundings and environment. High-performance central processing units (CPUs) , graphics processing units (GPUs) , and digital signal processors (DSPs) for processing massive amounts of sensor data, executing algorithms, and running artificial intelligence (AI) and machine learning (ML) models.

The autonomous driving SoC market is segmented vehicle type, level of autonomy, application, and region. On the basis of vehicle type, the market is divided into passenger vehicles, and commercial vehicles. As per level of autonomy, the market is segregated into level 2, Level 3, Level 4, Level 5. On the basis of application, the market is bifurcated into Adaptive Cruise Control (ACC) , Lane Keeping Assistance System (LKAS) , Traffic Jam Assist (TJA) , Automated Parking System (APS) , and others. Region wise, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

North America, particularly the U.S., and Canada are advancing in the development and adoption of autonomous driving technologies, with major players like NVIDIA, Intel, and Qualcomm investing heavily in this sector. The presence of a robust automotive industry, supportive regulatory environment, and strong technological infrastructure contribute to the growth of the automotive SoC market in this region.

The major players operating in the autonomous driving SoC market include NVIDIA Corporation, Intel Corporation, Qualcomm Technologies, Inc., Texas Instruments Incorporated, Ambarella, Inc., MediaTek Inc., Renesas Electronics Corporation, Xilinx, Inc., NXP Semiconductors N.V., Infineon Technologies AG. The autonomous driving SoC industry is rapidly evolving, with major tech companies and automotive manufacturers investing heavily in the development of high-performance chips to power self-driving vehicles.

𝐄𝐧𝐪𝐮𝐢𝐫𝐲 𝐁𝐞𝐟𝐨𝐫𝐞 𝐁𝐮𝐲𝐢𝐧𝐠: https://www.alliedmarketresearch.com/purchase-enquiry/A323750

Industry Trends:

● In December 2023, Ambarella, Inc., a semiconductor company specializing in edge AI (Artificial Intelligence) introduced its autonomous driving (AD) software stack. This software stack is a collection of modular components designed to enable autonomous driving capabilities in vehicles. The stack is primarily powered by deep learning AI processing, which allows it to perform tasks such as environmental perception, sensor fusion, and vehicle path planning.

● On January 9th, Black Sesame Technologies, a prominent provider of intelligent vehicle System-on-Chip (SoC) solutions, unveiled several groundbreaking products and solutions during the CES 2024 event. Among the highlights were the introduction of their high-performance, automotive-grade autonomous driving chip, named the Huashan Series A1000, and their intelligent vehicle cross-domain computing platform, known as the Wudang C1200 Series.

● In September 2020, Li Auto Inc., one of the prominent player in China's new energy vehicle market announced a strategic partnership with NVIDIA Corporation, a global leader in artificial intelligence computing, and its Chinese partner, Huizhou Desay SV Automotive. This collaboration aims to integrate NVIDIA's next-generation autonomous driving smart chip, Orin SoC (System-on-a-Chip) , into Li Auto's full-size extended-range electric vehicles scheduled for launch in 2022.

𝐁𝐮𝐲 𝐍𝐨𝐰 & 𝐆𝐞𝐭 𝐄𝐱𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭 𝐨𝐧 𝐭𝐡𝐢𝐬 𝐑𝐞𝐩𝐨𝐫𝐭 (233 𝐏𝐚𝐠𝐞𝐬 𝐏𝐃𝐅 𝐰𝐢𝐭𝐡 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬, 𝐂𝐡𝐚𝐫𝐭𝐬, 𝐓𝐚𝐛𝐥𝐞𝐬, 𝐚𝐧𝐝 𝐅𝐢𝐠𝐮𝐫𝐞𝐬) 𝐚𝐭: https://www.alliedmarketresearch.com/autonomous-driving-soc-market/purchase-options

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𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐌𝐨𝐫𝐞 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐑𝐞𝐩𝐨𝐫𝐭𝐬

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