The Autonomous Driving Vehicle Domain Controller segmentation by type distinguishes four principal architectures: application‑specific integrated circuits (ASICs), field‑programmable gate arrays (FPGAs), system‑on‑chips (SoCs) that integrate CPU, GPU and accelerator blocks, and general‑purpose GPUs used as compute‑offload engines. ASICs, engineered for high‑volume production, dominate the cost‑sensitive mass‑market segment, contributing roughly 45 % of total revenue because of their low per‑unit price and deterministic latency. FPGAs retain a 20 % share, favored in early‑stage development and safety‑critical functions where re‑configurability shortens time‑to‑market. SoCs, which combine heterogeneous processing cores, account for about 25 % of the market, driven by OEMs seeking a balance of integration density and software flexibility. GPUs, although a smaller niche at 10 %, are employed in perception‑heavy workloads such as lidar point‑cloud processing. Collectively, these type categories shape the overall Autonomous Driving Vehicle Domain Controller market size by aligning technology cost structures with the varying performance and certification requirements across vehicle platforms.