Autonomous Driving Scales, But Profits Stay Hard
💡China's NOA market is scaling fast—but deployment economics, not model demos, now decide which AI suppliers survive.
⚡ 30-Second TL;DR
What Changed
China's passenger-car intelligent-assistance penetration reached 76.1% in the first half, while models with highway or urban NOA reached 46.8% of new-car sales.
Why It Matters
The market is moving from experimentation toward scaled deployment, favoring suppliers with production data, broad OEM coverage, and cost-efficient stacks. For AI companies, strong model performance alone is insufficient; recurring deployment economics and integration capacity are becoming decisive.
What To Do Next
Benchmark your autonomous-driving stack against Horizon HSD and Momenta on per-vehicle compute cost, engineering hours per deployment, and urban-NOA production metrics before expanding OEM pilots.
Key Points
- •China's passenger-car intelligent-assistance penetration reached 76.1% in the first half, while models with highway or urban NOA reached 46.8% of new-car sales.
- •Horizon Robotics generated RMB 2.055 billion in revenue with a 66% gross margin; licensing and services contributed RMB 1.1294 billion at a 90.4% gross margin.
- •Momenta's revenue rose 75.9% to RMB 1.602 billion, while new production deployments increased 83.7% to approximately 321,000 vehicles.
- •Momenta's engineering development services are lower-margin because each designated vehicle project requires a dedicated engineering team.
- •Horizon Robotics and Momenta are expanding coverage across more brands and models to offset lower per-vehicle licensing revenue and automaker price pressure.
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Original source: 虎嗅 ↗
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