The vehicle electrical and electronic architecture (EEA) is evolving towards a centralized domain structure. Based on functional centralization and partitioning, leading international brands have divided automotive electronic control systems into a five-domain framework. The advanced driver assistance systems (ADAS) and cockpit domains are the first to adopt domain controllers, significantly enhancing computational efficiency and fostering new cooperation models within the industry.
Table of Contents
1. EEA's Core Drivers and Functional Domain Trends1.1 Domain Controller with Slow Integration Progress: Powertrain / Chassis / Body
1.1.1 Powertrain domain: Sub-controllers integrating basic ECU functions
1.1.2 Chassis domain: Currently dominated by ECUs
1.1.3 Body domain: Integrating gateway and basic ADAS functions
1.2 Domain Controllers with Priority Integration: Smart Cockpit / ADAS
1.2.1 Smart Cockpit Domain
1.2.2 ADAS Domain
4. Domain Controller Product Development Analysis
4.1 Bosch
4.2 Apiv
4.3 Continental
4.4 Desay
5. Domain Controller Supply Models
5.1 Model 1: Carmakers Developing In-House and Outsourcing Production
5.2 Model 2: Traditional Tier-1 Suppliers Providing Three Types of Services
5.3 Model 3: Emergence of Third-Party Service Providers
6. The Analyst's Perspective
6.1 Slow Adoption of Domain-Centralized Architecture with ADAS and Cockpit as Priority Domains
6.2 Driving and Parking Integration Becomes Standard Configuration
6.3 Diverse Domain Controller Supply Models Create Opportunities for IT OEMs
Appendix
List of Companies
List of Figures
Figure 1: Desay's IPU ADAS Domain Controller Software and Hardware Architecture and Division of Labor Logic
Figure 2: Domain Controller Suppliers and Their Relationships
Figure 3: Automakers Develop In-House and Outsource Production
Figure 4: Tier-1 Supplier Supply Model
Figure 5: Third-Party Service Provider Supply Model
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Advics
- Alfa Romeo Giulia
- Aptiv
- Audi
- Baidu
- Benewake
- Black Sesame Technologies
- BorgWarner
- Bosch
- CATL
- Changan Automobile
- Chery
- Chery Automobile
- Continental
- Desay
- Electrobit
- Fibocom
- Flextronics
- Ford
- Foxconn
- GAC
- Geely
- GHSP
- GM
- GWM
- Haomo.AI
- Hongjing Drive
- Horizon
- IM
- iMotion
- Infineon Technologies
- Intel
- Jabil
- JAC Motors
- Joyson Electronics
- Jtekt
- LeddarTech
- Li Auto
- Lotus Cars
- Magna
- Megatronic
- Mercedes-Benz
- Mobileye
- Nexteer
- NIO
- NSK
- Nvidia
- NXP
- OE Qiche
- Osram
- Pegatron
- Pony.ai
- Qualcomm
- Quanta
- Quectel
- Renesas
- RoboSense
- Samsung
- Seyond
- Sunny Optical
- Tesla
- Texas Instruments
- ThunderSoft
- Thyssenkrupp AG
- Toyota
- TTTech
- USI
- Vector
- Veoneer
- Visteon
- Volvo
- VW
- Weltmeister
- Wieson Automotive
- Wistron
- Woven Planet
- XPeng
- ZF
Methodology
Primary research with a holistic, cross-domain approach
The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.
Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:
Method
- Component supplier interviews
- System supplier interviews
- User interviews
- Channel interviews
- IPO interviews
- Focus groups
- Consumer surveys
- Production databases
- Financial data
- Custom databases
Methodology
- Technology forecasting and assessment
- Product assessment and selection
- Product life cycles
- Added value analysis
- Market trends
- Scenario analysis
- Competitor analysis
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