Robotaxi Leaderboard (robotracker.app)

A snapshot leaderboard (updated Oct 9, 2025) shows Waymo firmly in front in operational robotaxi scale: roughly 2,000 vehicles serving about 708 square miles and reaching ~1.5% of the U.S. population. Tesla and Zoox remain in testing or limited service—Tesla operates under 100 robotaxis but covers a larger footprint (1,003 sq mi, ~1.6% population reach), while Zoox runs fewer than 100 vehicles in a tiny 13 sq mi area with effectively 0.0% national reach. For the AI/ML community, the table highlights how different deployment strategies shape training data, model robustness, and regulatory risk. Waymo’s large fleet and concentrated coverage suggest advantages in continuous real-world data collection, closed-loop testing, and iterative improvement of perception, planning and safety stack models. Tesla’s wider geographic footprint with few vehicles indicates a trade-off: broader environmental variability (useful for generalization) but far less vehicle-hours per square mile, which can slow edge-case discovery and closed-loop policy refinement. Zoox remains hyper-local, limiting data diversity but simplifying validation in a controlled environment. Overall penetration remains tiny (<2% population), underscoring that large-scale commercialization, regulatory clearance, and the data-hungry work of scaling ML-driven autonomy are still ongoing.