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PUBLISHER: ResearchInChina | PRODUCT CODE: 2136503

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PUBLISHER: ResearchInChina | PRODUCT CODE: 2136503

Autonomous Driving Domain Controller and Central Computing Unit (CCU) Industry Report, 2026

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Autonomous Driving Domain Controller (ADCU) Research: One-Chip CCU solutions are quickly available in vehicles

In China's passenger car market, autonomous driving systems involved in mass production have gradually shifted from L2 to L2.5/L2.9. Some L3 autonomous driving systems have gradually seen mass production and application through embedded hardware since 2026. In addition, OEMs are actively deploying L4 robotaxis. XPeng and Geely have successively launched robotaxis, and plan to cooperate with third parties in robotaxi operation in 2027-2028.

The mandatory national standard "Intelligent and Connected Vehicle - Safety Requirements for Automated Driving System" (GB 44721-2026) was released on July 30, 2026, and is scheduled to be officially implemented on July 1, 2027. 2026 marks the first year for large-scale commercial deployment of L3 autonomous driving systems, and high-level ADCUs will continue to see increase in volume.

"Starry" integrates the two major computing tasks of smart cockpit and autonomous driving through a single chip. Compared with the competitive "autonomous driving chip + cockpit chip" solution, the space can be saved by 50%, the components can be reduced by 30%, the software and hardware integration time is shortened by 56%, the R&D delivery cycle is compressed from 18 months to 8 months, and the cost per vehicle is reduced by RMB1,500 to 4,000. Horizon Robotics plans to start the production of "Starry" in October 2026, with mass production scheduled next year.

The first project adopting this chip has confirmed partnerships with PATEO CONNECT+, BICV, etc. to serve a leading new energy vehicle OEM in China.

With the popularization of the "central + zone" architecture, the penetration rate of One-Chip CCU solutions is rapidly increasing

2025 marked the first year of mass production for One-Chip solutions, with Arcfox aT5 and Dongfeng Nissan N6 taking the lead in mass production and application. In 2026, One-Chip solutions such as Qualcomm SA8775/SA8797 and Black Sesame Wudang C1296 entered mass production, and Horizon Robotics Starry made its foray into the market with its ecosystem advantages. From 2027 to 2028, with the increasing penetration rate of the "central + zone" architecture, One-Chip solutions will prevail quickly. It is expected that by 2030, One-Chip solutions will account for 15.3%, and be installed in 3.599 million vehicles.

Currently, Bosch, ThunderX, AutoLink World, and DeepRoute.ai have launched CCUs based on Qualcomm Snapdragon 8797, which are expected to be mass-produced and applied to vehicles from 2026 to 2028. ThunderX and BICV are conducting chip adaptation tests based on Horizon Robotics Starry. Black Sesame Wudang C1296 has been designated for Dongfeng's Tianyuan Intelligent Cockpit Plus Platform and will be the first mounted on Dongfeng eπ007. It is expected to be installed on all of Dongfeng's vehicle models in the future, and mass production is planned for multiple vehicle models from 2026 to 2027.

As the world's first vehicle model equipped with Qualcomm SA8797, Leapmotor D19 was officially launched in April 2026. Its CCU is equipped with two Qualcomm Snapdragon 8797 chips, with a comprehensive computing power of 1280TOPS (based on 4-bit sparse computing) and a memory bandwidth of up to 540GB/s. It is one of the cockpit-driving integration solutions with the strongest computing power in current production vehicles. After dual-chip collaboration is attained:

CPU: 2x18Oryon, 160SpecInt2k17rate, responsible for smooth system and multi-task operation;

GPU: 2x770FPSMan3.0, responsible for screen graphics rendering, AR display, and 3A image quality;

NPU: 640TOPS (single), 1280TOPS (dual), empowering AI foundation models and autonomous driving decision-making;

Memory: 48GB memory in the cockpit, 64GB memory in autonomous driving; LPDDR5x provides 540GB/s ultra-high bandwidth, ensuring that functions can run simultaneously without lag;

Safety: Built-in ASIL-D compliant hardware security island, highest automotive-grade functional safety level, underlying protection against runaway and faults.

Relying on dual 8797 chips + ultra-large memory, Leapmotor D19 is equipped with LEAP 4.0, pioneering cockpit-driving integration super synergy, breaking the barriers of traditional vehicle model cockpit and autonomous driving in-depth synergy, and enabling "a cerebrum to control the vehicle intelligence."

Dynamic allocation of computing power: The system will automatically allocate the computing power of the dual 8797 chips according to the car scenario. The entertainment scenario focuses on the cockpit GPU/CPU performance, and the NPU computing power is enhanced in autonomous driving to efficiently utilize the chip performance;

Two-way data interoperability: The cockpit and the autonomous driving system are deeply integrated, navigation information, autonomous driving pictures, and entertainment content are seamlessly rendered and switched without any sense, and the autonomous driving status is synchronized to the cluster and CID in real time;

Full-domain millisecond-level response: In-board transmission and no delay in the entire process from perception, decision-making to execution.

The AI computing power of a single Snapdragon 8797 chip is up to 640TOPS (based on 4-bit sparse computing). In the dual-chip architecture, one chip focuses on cockpit tasks such as voice interaction, ambient lighting, and HUD projection; the other handles autonomous driving tasks, including perception fusion, path decision-making, and vehicle monitoring. High-speed communication is realized via unified middleware, and each chip operates in a stable environment supported by Hypervisor.

For the cockpit, QAM8797P is paired with 48GB LPDDR5X and 128GB UFS; for autonomous driving, it is configured with 64GB LPDDR5X and 256GB UFS. QAM8797P has 10 PMICs, including 8XPMAU0102, 1XPMAU0101, and 1XTI TPS659472E on the back. There are four chips for deserialization. It is estimated that all of them are ADI MAX96724, but one of them may be MAX96714. The side view, front stereo and rear view cameras are involved with two MAX96724 deserializers, the surround view camera corresponds to one MAX96724 deserializer, and the DMS is supported by one MAX96714 or MAX96724 deserializer. D19 has 5 screens, namely CID, cluster screen, AR HUD, ceiling screen, and DLP projector. There are 4 serial chips, and the cluster screen and AR HUD may share one serial chip. The WiFI and Bluetooth modules are Quectel AF67E, and the Ethernet switch comes from from Realtek RTL9071CP. The MCU, namely Renesas U2A16, is on another PCB.

At the Leapmotor Tech Day in September 2026, Leapmotor officially released a new vehicle architecture - LEAP 5.0 . As a central domain control electronic architecture, LEAP 5.0 adopts a truly central integrated control mode. The central domain controller makes unified decisions, and the other domain controllers only execute tasks. The vehicle wiring harness is controlled within 500 meters. This architecture is iterated from LEAP 3.0 and LEAP 4.0. It is also the first centrally integrated EEA in the industry that simultaneously implements 48V power supply and 10 Gigabit Ethernet for the vehicle. The architecture has three core hardware and software capabilities:

The vehicle is powered by 48V. Compared with traditional 12V power supply, the wiring harness is 50% lighter and can support chassis-by-wire and high-power in-vehicle living functions;

The vehicle boasts asymmetric Ethernet, with 10G downlink, 100M uplink, a unified vehicle communication protocol, reducing gateway protocol conversion loss;

Powered by vehicle-cloud agent OS, the automotive agent ensures low-latency operation and data privacy. The cloud agent handles complex reasoning and long-term memory, and enables the vehicle to continuously learn and adapt to user habits through lightweight iteration.

ADCUs are upgraded and iterated, and some OEMs begin to develop high-computing-power autonomous driving chips by themselves

Li Auto currently has two versions of ADCUs: AD Pro and AD MAX:

AD Pro originally used Horizon Robotics J5 as its core, but has resorted to Horizon Robotics J6M.

AD MAX originally took NVIDIA Orin-X as the core, but has adopted NVIDIA Thor-U instead.

At the same time, Li Auto has replaced Nvidia Thor-U wit its self-developed Mach M100. Mach 100 includes the self-developed NPU, application CPU, multimedia IP, security modules and standard I/O interfaces, oriented towards high-level NOA and future L3/L4 capabilities. The effective computing power of a single Mach 100 chip reaches 1280TOPS, which is about 3 times that of Nvidia Thor-U, while the effective computing power of a dual-chip combination can be 5 to 6 times that of Nvidia Thor-U.

MACH M100 is ramping up rapidly. Li Auto disclosed that over 50,000 MACH M100 chips had been delivered as of August 2026. Currently, the second self-developed chip Mach 200 has entered the tape-out stage and is expected to be mass-produced in 2027. The computing power of a single chip exceeds 2000TOPS and the manufacturing process has upgraded to 3nm. Li Auto's chip roadmap is very clear: starting from the cockpit, extending to autonomous driving, and then to cockpit-driving integration.

Since the mass production of Turing chips in early 2024, XPeng has been planning to make a major revision to its central computing domain controller, or XCCP, so that all vehicle models of XPeng will be equipped with Turing chips, with four configurations (high, medium and low):

One Turing chip is paired with MediaTek MT8676 (Fibocom AN762S). The typical vehicle model with the configuration is MONA 03 MAX.

Two Turing chips are paired with MediaTek MT8676. MONA 03 Ultra SE has such a configuration.

There are three Turing chips, two of which are placed in the XCCP, and one is placed alone in the VLMU. Mid-range vehicle models such as G7 are also equipped with MediaTek MT8676, and high-end vehicle models like X9 and GX carry Qualcomm SA8295.

Four Turing chips are used for XPeng's robotaxi, and a separate one is added to serve as an autonomous driving redundant system. This move can increase the shipments of Turing chips as much as possible, dilute the chip R&D and NRE costs, and also simplify the hardware system design, multiplex the R&D results, and reduce R&D costs.

As the first supported vehicle model, Xpeng G7 Ultra is equipped with 3 Turing AI chips, with an effective computing power of 2200+TOPS and 216GB memory, boasting the industry's first L3 computing platform. Debut of local VLA+VLM: VLA-OL adds a "motion cerebrum" to autonomous driving for the first time, and the upper limit of autonomous driving capabilities is 10+ times higher than that of MAX vehicle models in the industry. VLM is an AI cerebrum for vehicles to understand the world, and the next-generation OS entry point for human-vehicle dialogue and control, which will become a standard feature of the next generation of AIDVs;

VLA-OL runs entirely locally, has stronger capabilities, does not require networking, and can be quickly deployed globally; it also has high frame rate, low latency, and long-sequence characteristics. Through 4D video stream perception fusion and 360° all-round perception, it improves environmental recognition capabilities in complex scenarios such as dark light, backlighting, rain and snow, etc., and helps autonomous driving respond to road conditions more accurately. In the future, this model will empower three major scenarios: ambulance recognition and giving way, reasonable lane changes in congested road sections, and pavement collapse avoidance.

According to information from XPeng's financial report conference call on March 20, 2026, the cumulative shipments of XPeng Turing chips had exceeded 200,000 units. It is expected to all vehicle models (including Max) will adopt Turing from the second quarter of 2026, and the annual shipments will be close to 1 million units. The large-scale production of the automotive business has reduced the manufacturing cost of a single Turing chip to RMB2,500-3,000.

In XPeng G7, XCCP looks like a box, but actually consists of two boxes (upper and lower) fixed together. There is a Turing chip on the board, equipped with 64GB storage. The LPDDR5 is speculated to be Micron D8CWL, and the UFS is Micron SH021, with a capacity of 256GB. XPeng G7's XCCP uses two MCUs (Infineon TC397); the cockpit uses Renesas U2A16, which is probably also responsible for gateways. The QSPI NorFlash equipped with U2A16 comes from Macronix. As a U2A16-specific ASIL-D PMIC, Renesas RAA271084 ensures that the system reaches ASIL-D.

Based on the MTK MT8676, Fibocom AN762S-CN is the next-generation multi-mode intelligent 5G Sub-6 communication module with built-in Android. AN762S-CN adopts a 60*60*5.0mm (TBD) SiP package to facilitate customers to flexibly develop terminals. It is compatible with 5G Sub-6, LTE, WCDMA, GSM and other network standards, and supports WiFi 6E, BT5.3 and multi-constellation GNSS. AN762S-CN has been certified by AEC-Q104. The CPU computing power is 170K DMIPS, the GPU computing power is 1.8TFLOPS, and the NPU computing power is 20TOPS.

For interconnection, the design leverages state-of-the-art 10G Ethernet to link multiple Turing chips. Broadcom BCM89890 (10G Ethernet PHY chip) is deployed. The Ethernet switch is Infineon 88Q6113, supporting two 10G ports. The 3-Turing and 4-Turing configurations may adopt Infineon MVQ6223, which features eight 10G ports and delivers a non-blocking switching capacity of 90G - the highest level in the automotive industry today.

In May 2026, BYD launched China's first 4nm autonomous driving chip - Xuanji A3. It has been mass-produced and supports L3 and L4 autonomous driving. The efficient collaboration of three chips can achieve a total computing power of over 2100TOPS, while taking into account power consumption control and computing power utilization.

BYD plans to launch DiPilot (L3/L4), which has ten layers of redundancy in the platform architecture. Besides, from sensor redundancy at the perception layer, to SoC and MCU redundancy at the computing layer, to algorithm and power supply redundancy at the control layer, as well as steering, braking, unlocking, communication, and parking redundancy at the execution layer, it realizes multiple backups for all aspects of the autonomous driving system. In addition, it is the first in the world to feature over-thousand-channel LiDAR, 1000fps global shutter cameras, dual long-wave IR cameras. The over-thousand-channel LiDAR has 4K image-level detection capabilities and an ultra-long detection range of 600 meters. The global shutter cameras have an ultra-high frame rate of 1000fps and an ultra-low latency of less than 1ms, ensuring the redundancy of L3 functions.

Product Code: CL016

Table of Contents

Summary 1: High-level ADCU & CCU and Chip Selection

Summary 2: Mid-level ADCU & CCU and Chip Selection (1)

Summary 2: Mid-level ADCU & CCU and Chip Selection (2)

Summary 3: Low-level ADCU & CCU and Chip Selection

1 ADCU and CCU Market

  • 1.1 China's Passenger Car EEA and Computing Platform Deployment Method
  • China's Local Passenger Car EEA Penetration Rate, 2023-2030E
  • Attached Table: China's Local Passenger Car EEA Penetration Rate, 2023-2030E
  • 1.2 China's Passenger Car Autonomous Driving System Installations and Penetration Rate
  • China's Local Passenger Car Autonomous Driving System Installations (L0~L4), 2023-2030E
  • Attached Table: China's Local Passenger Car Autonomous Driving System Installation Rate, 2023-2030E
  • 1.3 China's Passenger Car ADCU Market Size and Penetration Rate
  • China's Local Passenger Car ADCU Shipments (10,000 Units), 2023-2030E
  • China's Local Passenger Car ADCU Market Size (RMB100 Million), 2023-2030E
  • Attached Table: China's Local Passenger Car ADCU Shipments and Market Size, 2023-2030E
  • China's Local Passenger Car ADCU Development Trend: Central Computing Platform Integration
  • Attached Table: Penetration Rate of Computing Platforms in Local Passenger Cars in China by Integration Form, 2023-2030E
  • China's Local Passenger Car Central Computing Platform (One Box One Chip) Penetration Rate, 2025-2030E
  • China's Local Passenger Car ADCU - Typical One-Chip Solution (1)
  • China's Local Passenger Car ADCU - Typical One-Chip Solution (2)
  • China's Local Passenger Car ADCU - Typical One-Chip Solution (3)
  • 1.4 China's Passenger Car ADCU Suppliers and Their SoC Market Share
  • Shipments of China's Local Passenger Car ADCU Suppliers (10,000 Units), 2023-H1 2026 (1)
  • Shipments of China's Local Passenger Car ADCU Suppliers (10,000 Units), 2023-H1 2026 (2)
  • China's Local Passenger Car ADCU SoC Installations (Vehicles), 2023-H1 2026 (1)
  • China's Local Passenger Car ADCU SoC Installations (Vehicles), 2023-H1 2026 (2)
  • Breakdown of China's Local Passenger Car ADCU SoC Installations (Vehicles), H1 2026
  • Breakdown of China's Local Passenger Car ADCU SoC Installations (Vehicles), 2025
  • Breakdown of China's Local Passenger Car ADCU SoC Installations (Vehicles), 2024
  • China's Local Passenger Car ADCU SoC Shipments (Units), 2023-H1 2026 (1)
  • China's Local Passenger Car ADCU SoC Shipments (Units), 2023-H1 2026 (2)
  • 1.5 Market Share of China's Passenger Car ADCU and SoC Vendors by Price Range
  • China's Local Passenger Car Sales Volume (by Price Range/Autonomous Driving Level), 2023-H1 2026 (1)
  • China's Local Passenger Car Sales Volume (by Price Range/Autonomous Driving Level), 2023-H1 2026 (2)
  • Installation Structure of Autonomous Driving Hardware in China's Local Passenger Cars (>RMB500,000), 2023-H1 2026
  • Market Share of Autonomous Driving Domain Controller Hardware and Master SoCs in China's Local Passenger Cars (>RMB500,000), 2023-H1 2026
  • Installation Structure of Autonomous Driving Hardware in China's Local Passenger Cars (RMB400,000-500,000), 2023-H1 2026
  • Market Share of Autonomous Driving Domain Controller Hardware and Master SoCs in China's Local Passenger Cars (RMB400,000-500,000), 2023-H1 2026
  • Installation Structure of Autonomous Driving Hardware in China's Local Passenger Cars (RMB350,000-400,000), 2023-H1 2026
  • Market Share of Autonomous Driving Domain Controller Hardware and Master SoCs in China's Local Passenger Cars (RMB350,000-400,000), 2023-H1 2026
  • Installation Structure of Autonomous Driving Hardware in China's Local Passenger Cars (RMB300,000-350,000), 2023-H1 2026
  • Market Share of Autonomous Driving Domain Controller Hardware and Master SoCs in China's Local Passenger Cars (RMB300,000-350,000), 2023-H1 2026
  • Installation Structure of Autonomous Driving Hardware in China's Local Passenger Cars (RMB250,000-300,000), 2023-H1 2026
  • Market Share of Autonomous Driving Domain Controller Hardware and Master SoCs in China's Local Passenger Cars (RMB250,000-300,000), 2023-H1 2026
  • Installation Structure of Autonomous Driving Hardware in China's Local Passenger Cars (RMB200,000-250,000), 2023-H1 2026
  • Market Share of Autonomous Driving Domain Controller Hardware and Master SoCs in China's Local Passenger Cars (RMB200,000-250,000), 2023-H1 2026
  • Installation Structure of Autonomous Driving Hardware in China's Local Passenger Cars (RMB150,000-200,000), 2023-H1 2026
  • Market Share of Autonomous Driving Domain Controller Hardware and Master SoCs in China's Local Passenger Cars (RMB150,000-200,000), 2023-H1 2026
  • Installation Structure of Autonomous Driving Hardware in China's Local Passenger Cars (RMB100,000-150,000), 2023-H1 2026
  • Market Share of Autonomous Driving Domain Controller Hardware and Master SoCs in China's Local Passenger Cars (RMB100,000-150,000), 2023-H1 2026
  • Installation Structure of Autonomous Driving Hardware in China's Local Passenger Cars (RMB0-100,000), 2023-H1 2026
  • Market Share of Autonomous Driving Domain Controller Hardware and Master SoCs in China's Local Passenger Cars (RMB0-100,000), 2023-H1 2026
  • 1.6 Cost of Main ADCUs and SoCs
  • Cost of Main ADCUs and SoCs (1)
  • Cost of Main ADCUs and SoCs (2)
  • Cost of Main ADCUs and SoCs (5)
  • Hardware BOM Cost Estimation 1: Qualcomm SA8775P-Based Cockpit-Driving Integration Domain Controller
  • Hardware BOM Cost Estimation 2: NVIDIA Orin-N-Based Domain Controller
  • Hardware BOM Cost Estimation 3: NVIDIA DRIVE Thor-Based ADCU

2 High, Mid and Low-Level Autonomous Driving Chip Platforms and ADCU Solutions

  • 2.1 High-Level (L2.9/L3) Autonomous Driving Chip Platforms and ADCU Solutions
  • 2.1.1 NVIDIA Thor-U/X
  • NVIDIA Thor Installations and Major Customers, 2025-Jun 2026
  • NVIDIA Thor-Based ADCU Solution (1)
  • NVIDIA Thor-Based ADCU Solution (2)
  • NVIDIA Thor-Based ADCU Solution (3)
  • NVIDIA's Autonomous Driving Solution (1)
  • NVIDIA's Autonomous Driving Solution (2)
  • NVIDIA's Autonomous Driving Solution (3)
  • NVIDIA's Autonomous Driving Solution (4)
  • NVIDIA DRIVE Thor-Based DCU Solution 1 (1)
  • NVIDIA DRIVE Thor-Based DCU Solution 1 (2)
  • NVIDIA DRIVE Thor-Based DCU Solution 1 (3)
  • NVIDIA DRIVE Thor-Based DCU Solution 2 (1)
  • NVIDIA DRIVE Thor-Based DCU Solution 2 (5)
  • 2.1.2 Qualcomm Snapdragon 8797
  • Qualcomm Snapdragon 8797 Installations and Major Customers, 2025-Jun 2026
  • Qualcomm Snapdragon 8797-Based ADCU Solution
  • Qualcomm Snapdragon 8797-Based DCU Solution 1 (1)
  • Qualcomm Snapdragon 8797-Based DCU Solution 1 (2)
  • Qualcomm Snapdragon 8797-Based DCU Solution 1 (3)
  • Qualcomm Snapdragon 8797-Based DCU Solution 2 (1)
  • Qualcomm Snapdragon 8797-Based DCU Solution 2 (2)
  • Qualcomm Snapdragon 8797-Based DCU Solution 2 (3)
  • Qualcomm Snapdragon 8797-Based DCU Solution 2 (4)
  • 2.1.3 Horizon Robotics Starry
  • Horizon Robotics Starry-Based ADCU Solution
  • Horizon Robotics Cockpit-Driving Integration SoC (1)
  • Horizon Robotics Cockpit-Driving Integration SoC (2)
  • Horizon Robotics Cockpit-Driving Integration SoC (3)
  • Horizon Robotics Cockpit-Driving Integration SoC (4)
  • Horizon Robotics Cockpit-Driving Integration SoC-Based Computing Platform Solution
  • 2.1.4 Horizon Robotics Journey 6P (J6P)
  • Horizon Robotics Journey 6P (J6P) Installations and Major Customers, 2025-Jun 2026
  • Horizon Robotics J6P-Based ADCU Solution
  • Horizon Robotics Journey 6P (1)
  • Horizon Robotics Journey 6P (2)
  • Horizon Robotics Autonomous Driving System Solution
  • Horizon Robotics Computing Platform Solution
  • 2.1.5 Huawei MDC
  • Huawei MDC Installations and Major Customers, 2025-Jun 2026
  • Huawei Ascend-Based ADCU Solution
  • Huawei Ascend-Based DCU Solution 1 (1)
  • Huawei Ascend-Based DCU Solution 1 (2)
  • Huawei Ascend-Based DCU Solution 1 (3)
  • Huawei Ascend-Based DCU Solution 1 (4)
  • Huawei Ascend-Based DCU Solution 2 (1)
  • Huawei Ascend-Based DCU Solution 2 (5)
  • Huawei Ascend-Based DCU Solution 3 (1)
  • Huawei Ascend-Based DCU Solution 3 (5)
  • 2.2 Mid-Level (L2/L2.5) Autonomous Driving Chip Platforms and ADCU Solutions
  • 2.2.1 NVIDIA Orin-X/Y/N
  • NVIDIA Orin-X/Y/N Installations and Major Customers, 2025-Jun 2026
  • NVIDIA Orin-X-Based ADCU Solution (1)
  • NVIDIA Orin-X-Based ADCU Solution (2)
  • NVIDIA Orin-X-Based ADCU Solution (3)
  • NVIDIA Orin-Y/N-Based ADCU Solution
  • NVIDIA Orin-X-Based DCU Solution 1
  • NVIDIA Orin-X-Based DCU Solution 2
  • NVIDIA Orin-X-Based DCU Solution 3
  • NVIDIA Orin-X-Based DCU Solution 4 (1)
  • NVIDIA Orin-X-Based DCU Solution 4 (2)
  • NVIDIA Orin-X-Based DCU Solution 4 (3)
  • NVIDIA Orin-X-Based DCU Solution 4 (4)
  • NVIDIA Orin-N-Based DCU Solution 1 (1)
  • NVIDIA Orin-N-Based DCU Solution 5 (1)
  • 2.2.2 Qualcomm Snapdragon 8775/8650
  • Qualcomm Snapdragon 8775/8650 Installations and Major Customers, 2025-Jun 2026
  • Qualcomm Snapdragon 8775-Based ADCU Solution
  • Qualcomm Snapdragon 8650-Based ADCU Solution
  • 2.2.3 Mobileye EyeQ6/EyeQ5
  • Mobileye EyeQ6/EyeQ5 Installations and Major Customers, 2025-Jun 2026
  • Mobileye EyeQ6-Based ADCU Solution
  • Mobileye EyeQ5-Based ADCU Solution (1)
  • Mobileye EyeQ5-Based ADCU Solution (2)
  • Mobileye's Autonomous Driving Planning
  • Mobileye's Autonomous Driving Solution (1)
  • Mobileye's Autonomous Driving Solution (2)
  • Mobileye's Autonomous Driving Solution (3)
  • Mobileye's Autonomous Driving Solution (4)
  • Mobileye EyeQ6-Based DCU Solution
  • Mobileye's Autonomous Driving SoC Solution 1
  • Mobileye's Autonomous Driving SoC Solution 2
  • 2.2.4 Horizon Robotics Journey 6E/6M (J6E/J6M)
  • Horizon Robotics Journey 6E/6M (J6E/J6M) Installations and Major Customers, 2025-Jun 2026
  • Horizon Robotics J6E-Based ADCU Solution (1)
  • Horizon Robotics J6E-Based ADCU Solution (2)
  • Horizon Robotics J6M-Based ADCU Solution (1)
  • Horizon Robotics J6M-Based ADCU Solution (2)
  • 2.2.5 Horizon Robotics Journey 5 (J5)
  • Horizon Robotics Journey 5 (J5) Installations and Major Customers, 2025-Jun 2026
  • Horizon Robotics J5-Based ADCU Solution (1)
  • Horizon Robotics J5-Based ADCU Solution (2)
  • 2.2.6 Xinxin Hangtu BMC X7
  • Xinxin Hangtu BMC X7 Installations and Major Customers, 2025-Jun 2026
  • Xinxin Hangtu BMC X7-Based ADCU Solution
  • Xinxin Hangtu Autonomous Driving SoC (1)
  • Xinxin Hangtu Autonomous Driving SoC (2)
  • Xinxin Hangtu Autonomous Driving SoC (3)
  • Xinxin Hangtu Autonomous Driving SoC Solution
  • 2.2.7 Black Sesame Huashan A1000/A2000
  • Black Sesame Huashan A1000 Installations and Major Customers, 2025-Jun 2026
  • Black Sesame Huashan A1000-Based ADCU Solution
  • Black Sesame Huashan A2000-Based ADCU Solution
  • Black Sesame Autonomous Driving SoC (1)
  • Black Sesame Autonomous Driving SoC (2)
  • Black Sesame Autonomous Driving SoC (3)
  • Black Sesame Autonomous Driving SoC (4)
  • Black Sesame Huashan A2000 Solution
  • 2.2.8 Black Sesame Wu-Tang C1000
  • Black Sesame Wudang C1000-Based ADCU Solution
  • Black Sesame Cockpit-Driving Integration SoC-Based Autonomous Driving Solution (1)
  • Black Sesame Cockpit-Driving Integration SoC-Based Autonomous Driving Solution (2)
  • Cockpit-Driving Integration SoC-Based Autonomous Driving Computing Platform: Secure & Intelligent Foundation (1)
  • Cockpit-Driving Integration SoC-Based Autonomous Driving Computing Platform: Secure & Intelligent Foundation (2)
  • 2.2.9 SiEngine SE1000/AD1000
  • SiEngine SE1000/AD1000-Based ADCU Solution
  • SiEngine Cockpit-Driving Integration SoC
  • SiEngine Autonomous Driving SoC (1)
  • SiEngine Autonomous Driving SoC (2)
  • SiEngine Autonomous Driving Ecosystem Platform
  • 2.2.10 Renesas R-Car X5
  • Renesas R-Car X5-Based ADCU Solution
  • Renesas Multi-Domain Fusion SoC (1)
  • Renesas Multi-Domain Fusion SoC (2)
  • 2.3 Low-Level (below L2) Autonomous Driving Chip Platforms and ADCU Solutions
  • 2.3.1 Horizon Robotics Journey 6B (J6B)
  • Horizon Robotics journey 6B (J6B) Installations and Major Customers, 2025-Jun 2026
  • Horizon Robotics J6B-Based ADCU Solution
  • 2.3.2 TI TDA4
  • TI TDA4 Installations and Major Customers, 2025-Jun 2026
  • TI TDA4-Based ADCU Solution (1)
  • TI TDA4-Based ADCU Solution (5)
  • 2.3.3 Renesas R-Car V3H/V4H
  • Renesas R-Car V3H/V4H Installations and Major Customers, 2025-Jun 2026
  • Renesas R-Car V3H/V4H-Based ADCU Solution
  • 2.3.4 AXERA M
  • AXERA M Installations and Major Customers, 2025-Jun 2026
  • AXERA "Axera Auto"-Based ADCU Solution
  • AXERA High-Level Autonomous Driving Chip (1)
  • AXERA High-Level Autonomous Driving Chip (2)
  • AXERA "Axera Auto" (1)
  • AXERA "Axera Auto" (2)
  • 2.3.5 ORITEK Longquan 560
  • ORITEK Longquan 560-Based ADCU Solution
  • ORITEK Autonomous Driving SoC (1)
  • ORITEK Autonomous Driving SoC (2)
  • 2.4 Summary of ADCUs and System Solutions of Tier1 Suppliers
  • Summary of ADCU Product Lines of Tier1 Suppliers (1)
  • Summary of ADCU Product Lines of Tier1 Suppliers (4)
  • Summary of ADCU Product Lines of Tier1 Suppliers (5)
  • 2.5 ADCUs and System Solutions of OEMs
  • Autonomous Driving Solutions and SoC Selection Strategy of BYD System (BYD) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of BYD System (Yangwang, Fangchengbao, Denza) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of Leapmotor, AITO, and MAEXTRO (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of Li Auto (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of NIO (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of Xpeng (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of Xiaomi and Zeekr (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of Geely System (Geely) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of Geely System (Geely) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of Chery System (EXEED, JETOUR, iCAR) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of Chery System (Fulwin, Chery, LUXEED) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of GAC Group (Aion, Trumpchi, Hyptec, AISTALAND) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of GAC Group (Aion, Trumpchi, Hyptec) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of SAIC Group (Roewe, MG, Rising Auto, SAIC (Shangjie)) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of SAIC Group (IM Motors) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of BAIC Group (ARCFOX, BAIC) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of Changan Automobile (Avatr, Nevo, Deepal) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of Great Wall Motor (Haval, WEY, Tank) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of Dongfeng Motor (Dongfeng, EPICLAND) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of Voyah and FAW Hongqi (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of BMW (China), Tesla and Mercedes-Benz (China) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of Volkswagen (China) (Including Ongoing Projects)
  • Autonomous Driving Solutions and SoC Selection Strategy of Audi (China), Toyota (China) and Honda (China) (Including Ongoing Projects)

3 ADCU Solutions of Domestic and Foreign OEMs

  • 3.1 NIO
  • ADCU Installation by Vehicle Model Platform
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • Autonomous Driving Computing Platform Solution
  • 3.2 XPeng
  • ADCU Installation by Vehicle Model Platform
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • Autonomous Driving SoC (1)
  • Autonomous Driving SoC (2)
  • L3/L4 Autonomous Driving Layout
  • Autonomous Driving Computing Platform Solution (1)
  • Autonomous Driving Computing Platform Solution (2)
  • Autonomous Driving Computing Platform Solution (3)
  • Autonomous Driving Computing Platform Solution (4)
  • 3.3 Li Auto
  • ADCU Installation by Vehicle Model Platform
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • Autonomous Driving SoC (1)
  • Autonomous Driving SoC (2)
  • Autonomous Driving SoC (3)
  • Autonomous Driving SoC (4)
  • Autonomous Driving Computing Platform Solution 1
  • Autonomous Driving Computing Platform Solution 2 (1)
  • Autonomous Driving Computing Platform Solution 2 (2)
  • Autonomous Driving Computing Platform Solution 2 (3)
  • 3.4 Xiaomi Auto
  • ADCU Installation by Vehicle Model Platform
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • Autonomous driving SoC
  • 3.5 Leapmotor
  • ADCU Installation by Vehicle Model Platform
  • ADCU Penetration Rate, 2024-H1 2026
  • EEA Development and Iteration
  • Autonomous Driving Computing Platform Solution (1)
  • Autonomous Driving Computing Platform Solution (2)
  • 3.6 BYD
  • ADCU Installation by Vehicle Model Platform (1)
  • ADCU Installation by Vehicle Model Platform (2)
  • ADCU Installation by Vehicle Model Platform (3)
  • ADCU Installation by Vehicle Model Platform (4)
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • Autonomous driving SoC
  • Autonomous Driving SoC Solution
  • Autonomous Driving Computing Platform Solution (1)
  • Autonomous Driving Computing Platform Solution (5)
  • 3.7 Geely
  • ADCU Installation by Vehicle Model Platform (1)
  • ADCU Installation by Vehicle Model Platform (2)
  • ADCU Installation by Vehicle Model Platform (3)
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • Autonomous Driving Computing Platform Solution 1
  • Autonomous Driving Computing Platform Solution 2
  • L3/L4 Autonomous Driving Layout (1)
  • L3/L4 Autonomous Driving Layout (2)
  • 3.8 Chery
  • ADCU Installation by Vehicle Model Platform (1)
  • ADCU Installation by Vehicle Model Platform (2)
  • ADCU Installation by Vehicle Model Platform (3)
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • Autonomous Driving System Solution
  • Autonomous Driving Computing Platform Solution 1
  • Autonomous Driving Computing Platform Solution 2
  • 3.9 FAW Hongqi
  • ADCU Installation by Vehicle Model Platform
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • Autonomous driving SoC
  • 3.10 GAC Group
  • ADCU Installation by Vehicle Model Platform (1)
  • ADCU Installation by Vehicle Model Platform (2)
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • L3/L4 Autonomous Driving Layout 1
  • L3/L4 Autonomous Driving Layout 2 (1)
  • L3/L4 Autonomous Driving Layout 2 (2)
  • 3.11 SAIC Motor
  • ADCU Installation by Vehicle Model Platform (1)
  • ADCU Installation by Vehicle Model Platform (2)
  • ADCU Installation by Vehicle Model Platform (3)
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • Integrated Technical Route (1)
  • Integrated Technical Route (2)
  • Integrated Technical Route (3)
  • 3.12 BAIC Group
  • ADCU Installation by Vehicle Model Platform (1)
  • ADCU Installation by Vehicle Model Platform (2)
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • ADCU Solution
  • 3.13 Changan
  • ADCU Installation by Vehicle Model Platform (1)
  • ADCU Installation by Vehicle Model Platform (2)
  • ADCU Installation by Vehicle Model Platform (3)
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • Autonomous Driving System (1)
  • Autonomous Driving System (2)
  • L3/L4 Autonomous Driving Layout
  • 3.14 Great Wall Motor
  • ADCU Installation by Vehicle Model Platform
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • Autonomous Driving System
  • 3.15 Dongfeng Motor
  • ADCU Installation by Vehicle Model Platform (1)
  • ADCU Installation by Vehicle Model Platform (2)
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • Autonomous Driving System (1)
  • Autonomous Driving System (2)
  • L3/L4 Autonomous Driving Layout 1
  • L3/L4 Autonomous Driving Layout 2
  • 3.16 SAIC-GM
  • ADCU Installation by Vehicle Model Platform (1)
  • ADCU Installation by Vehicle Model Platform (2)
  • ADCU Penetration Rate, 2024-H1 2026
  • 3.17 Harmony Intelligent Mobility Alliance (HIMA)
  • ADCU Installation by Vehicle Model Platform (1)
  • ADCU Installation by Vehicle Model Platform (2)
  • 3.18 BMW
  • ADCU Installation by Vehicle Model Platform
  • ADCU Penetration Rate, 2024-H1 2026
  • Autonomous Driving System 1 (1)
  • Autonomous Driving System 1 (2)
  • Autonomous Driving System 2 (1)
  • Autonomous Driving System 2 (2)
  • 3.19 Volkswagen
  • ADCU Installation by Vehicle Model Platform
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • Autonomous driving SoC
  • Autonomous Driving System (1)
  • Autonomous Driving System (5)
  • ADCU 1
  • ADCU 2 (1)
  • ADCU 2 (2)
  • L3/L4 Autonomous Driving Layout (1)
  • L3/L4 Autonomous Driving Layout (2)
  • 3.20 Audi
  • ADCU Installation by Vehicle Model Platform
  • ADCU Penetration Rate, 2024-H1 2026
  • ADCU Solution
  • Autonomous Driving System
  • 3.21 Mercedes-Benz
  • ADCU Installation by Vehicle Model Platform
  • ADCU Penetration Rate, 2024-H1 2026
  • Autonomous Driving System
  • 3.22 Toyota
  • ADCU Installation by Vehicle Model Platform
  • ADCU Penetration Rate, 2024-H1 2026
  • 3.23 Honda
  • ADCU Installation by Vehicle Model Platform
  • ADCU Penetration Rate, 2024-H1 2026
  • 3.24 Tesla
  • ADCU Installation by Vehicle Model Platform
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • ADCU Solution
  • 3rd Generation FSD SoC (1)
  • 3rd Generation FSD SoC (2)

4 Domestic ADCU Vendors

  • 4.1 Desay SV
  • ADCU and CCU Development Roadmap
  • ADCU Product Line (1)
  • ADCU Product Line (2)
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • NOA Domain Controller
  • Cockpit-Driving Integration Platform (1)
  • Cockpit-Driving Integration Platform (2)
  • Central Computing Platform
  • 4.2 Zhuoyu Technology
  • ADCU Product Line (1)
  • ADCU Product Line (2)
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • L2 Assisted Driving Controller
  • Cockpit-driving integrated controller
  • Autonomous Driving Controller
  • 4.3 Jingwei Hirain
  • ADCU Product Line
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • Domestic High-Computing-Power High-Level Autonomous Driving Computing Platform
  • 2nd Generation ADCU (1)
  • 2nd Generation ADCU (2)
  • 2nd Generation ADCU (3)
  • 4.4 iMotion
  • ADCU Development Roadmap
  • ADCU Product Line (1)
  • ADCU Product Line (2)
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • Driving-Parking Integration Domain Controller (1)
  • Driving-Parking Integration Domain Controller (2)
  • Driving-Parking Integration Domain Controller (3)
  • Driving-Parking Integration Domain Controller (4)
  • Front view all-in-one
  • ADCU Algorithm
  • 4.5 Freetech
  • ODIN Digital Intelligence Base
  • Intelligent Driving Solution
  • ADCU Product Line (1)
  • ADCU Product Line (2)
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • "Fuxin No.1" Mass-Market 5G Cockpit-Driving-Parking Solution (1)
  • "Fuxin No.1" Mass-Market 5G Cockpit-Driving-Parking Solution (2)
  • L2 Driving-Parking Integration Domain Controller
  • L3 High-Level Autonomous Driving Solution (1)
  • L3 High-Level Autonomous Driving Solution (2)
  • L3 High-Level Autonomous Driving Solution (3)
  • Driving-Parking Integration Domain Controller
  • 4.6 Hangsheng Electronics
  • ADCU Product Line
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • Cockpit-Driving Integration Platform
  • Driving-Parking Integration Domain Controller
  • Cockpit-Driving Integration Platform (1)
  • Cockpit-Driving Integration Platform (2)
  • One-Chip Cockpit-Driving-Parking Integration Platform
  • 4.7 ECARX
  • ADCU and CCU Development Roadmap
  • Chip and Domain Controller Evolution
  • ADCU Product Line (1)
  • ADCU Product Line (2)
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • Central Computing Platform
  • Driving-Parking Integration Domain Controller (1)
  • Driving-Parking Integration Domain Controller (2)
  • 4.8 Huawei
  • ADCU Product Line
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • HiSilicon Autonomous Driving System Solution
  • 4.9 Neusoft Reach
  • ADCU and CCU Development Roadmap
  • ADCU Product Line (1)
  • ADCU Product Line (2)
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • Front view all-in-one
  • L2+ Urban NOA Domain Controller (1)
  • L2+ Urban NOA Domain Controller (5)
  • 4.10 Lenovo Vehicle Computing
  • ADCU Product Line (1)
  • ADCU Product Line (2)
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • L4 Assisted Driving Domain Controller (1)
  • L4 Assisted Driving Domain Controller (2)
  • L2++ Assisted Driving Domain Controller
  • Central Computing Platform
  • 4.11 Luxshare Precision
  • Luxshare Precision and Related Subsidiaries
  • ADCU Product Line
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • ADCU (1)
  • ADCU (2)
  • 4.12 Huaruijie Technology
  • ADCU Strategic Layout
  • ADCU Product Line
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • Front View All-In-One
  • 4.13 Huaqin Technology
  • ADCU Product Line
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • Driving-Parking Integration Domain Controller (1)
  • Driving-Parking Integration Domain Controller (2)
  • 4.14 Autolink
  • ADCU Product Line
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • Cockpit-Driving Integration Platform 1 (1)
  • Cockpit-Driving Integration Platform 1 (2)
  • Cockpit-Driving Integration Platform 1 (3)
  • Cockpit-Driving Integration Platform 1 (4)
  • Cockpit-Driving Integration Platform 2
  • AI Supercomputing Architecture (1)
  • AI Supercomputing Architecture (2)
  • AI Supercomputing Architecture (3)
  • AI Supercomputing Architecture (4)
  • 4.15 Technomous
  • ADCU Matrix
  • ADCU Product Line
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • Driving-Parking Integration Domain Controller (1)
  • Driving-Parking Integration Domain Controller (2)
  • 4.16 Baidu Apollo
  • ADCU Product Line
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • Autonomous Driving Solution 1
  • Autonomous Driving Solution 2 (1)
  • Autonomous Driving Solution 2 (2)
  • Autonomous Driving Solution 3 (1)
  • Autonomous Driving Solution 3 (2)
  • Cockpit-Driving Integration Intelligent Computing Platform (1)
  • Cockpit-Driving Integration Intelligent Computing Platform (2)
  • 4.17 Yihang.AI
  • Urban NOA R&D Solution
  • ADCU Product Line
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • Duxing Urban Autonomous Driving Platform (1)
  • Duxing Urban Autonomous Driving Platform (2)
  • BEV "Lingmo"
  • 4.18 NavInfo
  • ADCU Product Line (1)
  • ADCU Product Line (2)
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • Driving-Parking Integration Domain Controller Layout
  • Driving-Parking Integration Domain Controller (1)
  • Driving-Parking Integration Domain Controller (2)
  • Driving-Parking Integration Domain Controller (3)
  • 4.19 Hyperview
  • ADCU Product Line
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • Cockpit-parking integrated domain controller
  • 4.20 Motovis
  • ADCU Product Line
  • Driving-Parking Integration Domain Controller (1)
  • Driving-Parking Integration Domain Controller (2)
  • 4.21 MINIEYE
  • ADCU Product Line (1)
  • ADCU Product Line (2)
  • Driving-Parking Integration Domain Controller
  • Assisted Driving Domain Controller (1)
  • Assisted Driving Domain Controller (2)
  • Assisted Driving Domain Controller (3)
  • Assisted Driving Domain Controller (4)
  • Assisted Driving Domain Controller Installation Case
  • 4.22 Joynext
  • ADCU Product Line
  • L3/L4 ADCU
  • CCU (1)
  • CCU (2)
  • 4.23 ThunderX
  • ADCU Development Roadmap
  • ADCU Functions and Configuration Planning
  • ADCU Product Line (1)
  • ADCU Product Line (2)
  • AI Fusion Domain Controller
  • Cockpit-Driving Integration Domain Controller (1)
  • Cockpit-Driving Integration Domain Controller (2)
  • 4.24 MAXIEYE
  • Autonomous Driving Products (1)
  • Autonomous Driving Products (2)
  • ADCU Product Line
  • Driving-Parking Integration Domain Controller Installation Case
  • Driving-Parking Integration Domain Controller (1)
  • Driving-Parking Integration Domain Controller (2)
  • Driving-Parking Integration Domain Controller (3)
  • 4.25 Pony.ai
  • ADCU Product Line (1)
  • ADCU Product Line (2)
  • L4 Intelligent Cockpit Domain Controller
  • L4 ADCU Installation Case
  • L4 ADCU (1)
  • L4 ADCU (2)
  • 4.26 Z-ONE
  • ADCU Product Line
  • Cockpit-Driving Integration Computing Platform (1)
  • Cockpit-Driving Integration Computing Platform (2)
  • 4.27 neueHCT
  • Business
  • ADCU Product Line
  • All-Scenario Assisted Driving Domain Controller (1)
  • High-Performance Assisted Driving Domain Controller (2)
  • 4.28 FINEST Automotive Technology
  • ADCU Product Line
  • Driving-Parking Integration Domain Controller (1)
  • Driving-Parking Integration Domain Controller (2)
  • Driving-Parking Integration Domain Controller (3)
  • 4.29 Nullmax
  • ADCU Product Line
  • ADCU
  • Cockpit-Driving Integration Domain Controller (1)
  • Cockpit-Driving Integration Domain Controller (2)
  • Driving-Parking Integration Domain Controller (1)
  • Driving-Parking Integration Domain Controller (2)
  • 4.30 DeepRoute.ai
  • ADCU Product Line
  • Cockpit-driving integration domain controller
  • High-Level ADCU Installation Case
  • Assisted Driving Platform (1)
  • Assisted Driving Platform (2)
  • 4.31 BICV
  • Cockpit-Driving Integration Platform Planning
  • ADCU Product Line
  • Cockpit-Driving Integration Platform

5 Foreign ADCU Vendors

  • 5.1 Bosch
  • Cockpit-Driving Integration Domain Controller Development Roadmap
  • ADCU Product Line (1)
  • ADCU Product Line (2)
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • Zongheng Assisted Driving - Basic Edition
  • Zongheng Assisted Driving - Upgraded Edition
  • Zongheng Assisted Driving - Supreme Edition (1)
  • Zongheng Assisted Driving - Supreme Edition (2)
  • 5.2 Aptiv
  • ADCU Product Line
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • End-to-end AI ADAS Platform
  • Sixth-generation ADAS Platform (1)
  • Sixth-generation ADAS Platform (2)
  • Sixth-generation ADAS Platform (3)
  • 5.3 ZF
  • ADCU Product Line
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • ADCU (1)
  • ADCU (2)
  • 5.4 Valeo
  • ADCU Product Line
  • ADCU Installations and Major Customers, 2025-Jun 2026
  • 5.5 Magna
  • ADCU Product Line
  • ADCU Solution (1)
  • ADCU Solution (2)
  • 5.6 AUMOVIO
  • ADCU Product Line
  • Cockpit-Driving-Parking Integration Domain Controller
  • 5.7 Visteon
  • ADCU Product Line
  • Cockpit-Driving Integration Module
  • 5.8 Astemo
  • ADCU Product Line
  • ADCU Layout
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Manager - EMEA

+32-2-535-7543

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