From:Internet Info Agency 2026-05-24 08:48:00
On May 24, Li Bin, founder, chairman, and CEO of NIO, stated that the new energy vehicle (NEV) industry is transitioning from a period of brand confusion to one of brand clarification, with consumers increasingly focusing on a brand's overall capabilities when purchasing vehicles. He believes the industry has now entered a phase of systemic competition, where brand value and influence continue to grow stronger, and emphasized that merely stacking up product specifications can no longer align with consumers' actual perceptions of a brand. Li revealed that the expected sales volume ratio among NIO’s three brands—NIO, Onvo, and Firefly—will be either “3:6:1” or “35:55:10.” He clarified that this ratio reflects only sales distribution and does not represent revenue or profit structure. Specifically, the NIO brand will remain focused on the premium market, while Onvo targets a broader family-oriented vehicle segment. Li noted that under the company’s current R&D and organizational efficiency, achieving monthly sales of 20,000 units for Onvo would represent a significant scale milestone. Currently, Onvo operates over 400 stores, primarily located in Tier-1 and Tier-2 cities, and future growth will rely more heavily on channel expansion into lower-tier markets.

BMW Recalls Over 26,000 Vehicles in Canada Over Fire Risk from Starter Motor
Chery iCAR V25 Official Images Unveiled: Plug-in Hybrid Light Flagship SUV with LiDAR
XPeng G9L AWD Variant Filed: Over 5.1m Long, Dual Motors Deliver 430kW
Humanoid Robot Mass Production Accelerates as Companies Advance Embodied AI and Driver Assistance
Japanese Big Three See Sales Drop in China, Honda Down Over 30% in H1
Jaguar Land Rover Ends 14-Year China Production; Range Rover Evoque L Clears Inventory and Exits
Hainan to Ban Fossil Fuel Vehicle Sales by 2030, Advance Full Clean Energy Transition in Transport
Changan Qiyuan Q06 Unveiled on July 15 as Mid-to-Large All-Electric Coupe SUV
XPeng MONA L03 to Launch Globally in Munich on July 16 with Breakthroughs in Physical AI