Segmentation by type classifies AEBS into radar‑based, camera‑based, lidar‑based, and sensor‑fusion architectures. Radar‑based systems dominate with an estimated 45 % share, owing to their proven reliability under adverse weather and lower unit cost, which makes them attractive for volume‑priced passenger‑car programs. Camera‑based solutions account for roughly 30 % of the market; they enable high‑resolution object classification and are increasingly paired with advanced image‑processing algorithms, driving adoption in premium segments where lane‑keeping and pedestrian detection are bundled. Lidar‑based AEBS, still emerging, holds about 10 % and is limited by higher component prices and integration complexity, yet it offers superior range accuracy that appeals to autonomous‑vehicle pilots. Sensor‑fusion configurations, which combine radar, camera, and sometimes lidar inputs, represent the remaining 15 % and are growing fastest as OEMs pursue redundancy and higher safety integrity levels. Each type contributes distinct cost structures and performance envelopes, influencing total market size through differential pricing, regulatory acceptance, and OEM technology roadmaps.