Hesai ranks No.1 in long-range ADAS lidar shipments with 43% share in 2025, per Yole Group
Hesai Technology has been named the top supplier of long-range ADAS lidar for passenger cars in 2025, capturing 43% of the market according to Yole Group's report.
43%
3.1 million
$1 billion
What Happened
Hesai Group has been recognized as the No.1 supplier in long-range ADAS lidar shipments for 2025, according to Yole Group's 'Automotive ADAS 2026' report. The report evaluates lidar companies on key performance metrics, noting that Hesai holds a 43% volume share, outpacing competitors in a concentrated market. Long-range ADAS lidar accounted for about 3.1 million of the 3.7 million lidar units shipped in passenger vehicles last year, underscoring the segment's importance.
43%volume share
Hesai leads the long-range ADAS lidar market for passenger cars, according to Yole Group.
- Cumulative deliveries surpassed 2 million units in November 2025, a first for an automotive lidar company.
- Design wins with 40 automotive brands globally across over 160 vehicle models.
- Monthly production and deliveries exceed 200,000 units.
“We are honored to be recognized by Yole Group for our leadership in long-range ADAS lidar shipments. As ADAS adoption continues to scale, perception capabilities are becoming increasingly important. With innovations such as our Picasso 6D full-color lidar platform and next-generation ETX, we are advancing lidar from pure spatial sensing toward richer environmental understanding.”
Why this matters
Hesai's dominance highlights the rapid scaling of lidar in passenger vehicles, a key sensor for advanced driver-assistance systems, and underscores China's strong role in the automotive lidar supply chain.
Terms in This Story
- ADAS
- Advanced Driver-Assistance Systems; technologies that help drivers with parking, lane keeping, collision avoidance, and other tasks.
- LiDAR
- Light Detection and Ranging; a sensor that uses laser pulses to create a 3D map of the surroundings.
- 3D perception
- The ability of a system to understand the three-dimensional structure of its environment using sensors like lidar.
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