Autonomous Driving Concept Stocks Watch | RoboSense (02498.HK) Traded Stronger; Institutions Say Booming Auto Exports Bring Order Support to Industrial Chain

On October 16, 2026, RoboSense (02498.HK) edged up. As of 14:33, it was quoted at HK$14.75, up 1.03%.
Key Highlights:
  • East Money Securities stated that the MIIT has clarified the implementation of a new round of work plans to stabilize growth in the automotive sector.
  • RoboSense(02498.HK) Focuses on the scaled mass production and delivery of LiDAR and core perception solutions for the autonomous driving perception layer.

NewTimeSpace News: On October 16, 2026, RoboSense (02498.HK) edged up. As of 14:33, it was quoted at HK$14.75, up 1.03%.

According to Tianyancha App, Shenzhen RoboSense Technology Co., Ltd. recently completed industrial and commercial changes. Its registered capital rose from about RMB 620 million to roughly RMB 700 million, representing an increase of approximately 13%.

East Money Securities stated that the MIIT has clarified the implementation of a new round of work plans to stabilize growth in the automotive sector. Detailed rules for trade-in schemes have been rolled out across regions, and two rounds of vehicle replacement have unlocked demand for over 18.3 million units. Meanwhile, auto exports remain robust. Overseas shipments reached 1.807 million units between July and August, surging 83.7% year-on-year. The export penetration rate of new energy passenger vehicles hit 58.9%, delivering tangible order support for the industrial chain.

RoboSense(02498.HK) Focuses on the scaled mass production and delivery of LiDAR and core perception solutions for the autonomous driving perception layer. As a leading tier-1 supplier in the intelligent driving hardware supply chain, it has secured massive design wins across a wide range of models from global mainstream automakers and new energy vehicle (NEV) startups. The company maintains industry-leading growth in single-quarter automotive LiDAR shipments. Through process optimization and economies of scale, it continuously drives down per-unit hardware costs, solidifying its market share in the core perception infrastructure for autonomous driving.

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