Global AI Computing Driving-parking Integrated Domain Controller Market Strategic Research Report

Scope of the Report

The global AI Computing Driving-parking Integrated Domain Controller market size is predicted to grow from US$ 2,285 million in 2025 to US$ 7,542 million in 2032; it is expected to grow at a CAGR of 18.7% from 2026 to 2032.

AI Computing Driving-parking Integrated Domain Controller is an automotive control unit that uses an AI computing platform to integrate assisted driving, automated parking, perception fusion, decision-making, vehicle control, and in-vehicle communication on one domain-controller architecture. Compared with an L2 driving-parking integrated domain controller, this product definition places greater emphasis on AI inference capability, multi-sensor data processing, algorithm scalability, real-time perception, parking path planning, and computing-resource allocation, enabling vehicle platforms to support lane keeping, adaptive cruise, automatic parking, memory parking, low-speed maneuvering, and broader driving-assistance scenarios with higher software flexibility. In 2025, production was 7.3 million units and the average price was USD 320 per unit. The industry’s capacity utilization rate in 2025 was about 65%, and the average gross margin was around 26%. Upstream, the key components mainly include high-computing automotive-grade SoC chips, memory chips, PMIC power management chips, and Ethernet switch chips, with representative suppliers such as Horizon Robotics, SemiDrive, and Micron Technology providing core computing, processing, and storage components. The midstream segment focuses on domain controller hardware design, AI computing platform configuration, sensor interface integration, perception algorithm deployment, parking algorithm calibration, vehicle communication design, thermal management, functional safety validation, software calibration, system testing, and vehicle-level integration, which together determine computing efficiency, perception accuracy, control stability, safety reliability, software scalability, and cost competitiveness. Downstream, AI Computing Driving-parking Integrated Domain Controller is mainly used in passenger cars and commercial vehicles, helping vehicle platforms integrate assisted driving and parking functions into a unified AI computing and control architecture, with representative customers including Toyota, Volkswagen, and BYD.

AI Computing Driving-parking Integrated Domain Controllers will gain relevance as automakers move from function stacking to computing-platform integration. Passenger cars increasingly need one controller to process camera, radar, ultrasonic, and map-related data for lane assistance, adaptive cruise, automatic parking, memory parking, and low-speed maneuvering. Commercial vehicles add demand in depot operation, blind-spot monitoring, fleet safety, and assisted parking under complex working conditions. The key industry shift is that software capability is becoming as important as hardware cost. Suppliers will compete on AI computing efficiency, sensor fusion accuracy, algorithm upgradeability, thermal design, functional safety, and platform reuse across vehicle models.

Key Questions Addressed in this Report

What is the 10-year outlook for the global AI Computing Driving-parking Integrated Domain Controller market?

What factors are driving AI Computing Driving-parking Integrated Domain Controller market growth, globally and by region?

Which technologies are poised for the fastest growth by market and region?

How do AI Computing Driving-parking Integrated Domain Controller market opportunities vary by end market size?

How does AI Computing Driving-parking Integrated Domain Controller break out by Type, by Application?

This report presents a comprehensive overview of the global AI Computing Driving-parking Integrated Domain Controller market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

• Entry-Level Domain Controller
• Highway NOA Domain Controller
• Urban NOA Domain Controller
• Others

Segment by Computing Power

• Computing Power≤50TOPS
• 50TOPS<Computing Power≤128TOPS
• 128TOPS<Computing Power≤200TOPS
• Others

Segment by Power Consumption

• Power Consumption<30W
• 30W≤Power Consumption<60W
• Others

Segment by Application

• Passenger Car
• Commercial Vehicle

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global AI Computing Driving-parking Integrated Domain Controller market:

• Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
• Distributors, channel partners and end users in Passenger Car, Commercial Vehicle evaluating demand and sourcing options
• Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
• Government agencies, industry associations and research institutions tracking industry developments and policy impact