• Over its 12-year autonomous driving development journey, Tesla achieved full vertical internalization at key inflection points, establishing a closed-loop structure integrating data, AI, custom chips, sensors, and software platforms. This has secured Tesla the most mature camera-vision-based technology in the industry.

• Phase 1 (2014–2016): Preempted the market with Mobileye EyeQ3-based Autopilot; terminated partnership following conflicts over Advanced Driver Assistance Solution (ADAS) control.

• Phase 2 (2016–2019): Adopted the NVIDIA DRIVE platform as a stepping stone to shift from rule-based systems to AI-learning paradigms, laying the groundwork to handle "Long Tail" edge cases.

• Phase 3 (2019–Present): Internalized custom full self-driving (FSD) chips, removed radar and ultrasonic sensors to complete the 8-camera "Tesla Vision" architecture, and established an OTA(Over-the-Air)-based vertically integrated improvement loop.

• Competitors are aggressively chasing Tesla, yet Tesla maintains a strong lead in technological maturity, cost competitiveness, and data assets due to its structural differences in development strategies.

• Waymo pursues a safety-first architecture tailored for robotaxi operators, relying on multi-sensor suites (cameras, LiDAR & radar) and high-definition (HD) maps.

• NVIDIA and Huawei position themselves as autonomous driving platform providers for OEMs, offering full-stack OS solutions that package chips, sensors, and algorithms.

• Xpeng and BYD follow Tesla’s path by developing proprietary algorithms and chips, rapidly catching up backed by Chinese government support and massive domestic sales volumes.

• Competitive dynamics vary across business segments, highlighting distinct strengths and weaknesses for Tesla in each domain:

• Robotaxi: Waymo holds a short-term lead (operating ~3,800 vehicles across 10 U.S. cities). Tesla is pursuing with camera-only cost advantages (~500 vehicles across 4 cities), having launched operations under special approvals in states with relatively relaxed autonomous driving regulations.

• Finished Vehicles: Xpeng and BYD threaten Tesla’s market share in China and emerging markets through aggressive price competitiveness, and are projected to emerge as formidable rivals in Europe and the U.S.

• Autonomous Driving Platforms: Tesla dominates in cost efficiency, data scale, and chip optimization. Conversely, NVIDIA and Huawei hold the upper hand in regulatory compliance (utilizing hybrid Rule + E2E models) and scalable adoption across multiple OEMs.