Top 7 China Intelligent Connected Vehicle Companies 2025

China's intelligent connected vehicle market surpassed RMB 500 billion in 2025, with over 15 million new vehicles equipped with advanced driver assistance systems. China leads globally in C-V2X deployment, with 500,000+ km of V2X-enabled highways and 30+ cities operating intelligent transport infrastructure.

TL;DR: China's ICV market exceeds RMB 500B with 15M+ ADAS vehicles. Huawei leads with HarmonyOS Smart Cockpit in 10+ brands while AutoX operates 300+ robotaxis in Shenzhen.

Top Companies

Huawei Intelligent Automotive

10+ car brand partners

Huawei provides full-stack intelligent automotive solutions including HarmonyOS Smart Cockpit, ADS, and MDC computing platforms. Its solutions are adopted by 10+ car brands with 5M+ vehicles shipped cumulatively.

AutoX

L4 robotaxi leader

AutoX operates China's largest Level 4 robotaxi fleet with 300+ autonomous vehicles providing commercial ride-hailing in Shenzhen, Shanghai, and Guangzhou. It has completed 10M+ km of autonomous driving with zero at-fault accidents.

Pony.ai (小马智行)

Dual-listed operator

Pony.ai provides autonomous ride-hailing and trucking services across Beijing, Shanghai, Guangzhou, and Shenzhen. It was the first Chinese AV company to list on both NASDAQ and HKEX, with 3M+ completed rides.

Baidu Apollo (百度Apollo)

L4 AD platform leader

Baidu's Apollo platform is China's most comprehensive autonomous driving ecosystem, including Apollo Go ride-hailing in 10+ cities with 6M+ cumulative orders and Apollo Space computing platform for vehicle manufacturers.

DeepRoute.ai (元戎启行)

AI-first autonomous driving

DeepRoute.ai develops AI-first end-to-end neural network autonomous driving systems. Its DeepRoute-Driver 3.0 achieves L4 capability using cameras and solid-state LiDAR, deployed with Dongfeng Motor for mass production.

WeRide (文远知行)

Global autonomous operations

WeRide operates autonomous vehicles across passenger, minibus, and sanitation truck categories in China, Singapore, and the UAE. Its robotaxi fleet serves 100,000+ monthly rides in Guangzhou.

QCraft (轻舟智航)

Urban autonomous shuttle

QCraft specializes in autonomous shuttle buses serving 30+ routes across 20+ cities in China, focusing on first-mile/last-mile transportation connecting metro stations, industrial parks, and scenic areas.

Comparison Table

CompanyCore TechServiceFleetCities
HuaweiADS + CockpitTier-1 supplier5M+ vehiclesNationwide
AutoXL4 autonomousRobotaxi300+ vehiclesSZ, SH, GZ
Pony.aiL4 autonomousRobotaxi + truck200+ vehiclesBJ, SH, GZ, SZ
Baidu ApolloFull-stack ADRobotaxi + platform10+ citiesMulti-city
DeepRoute.aiEnd-to-end AIMass-prod ADDongfeng JVWH, GZ
WeRideMulti-vehicle ADRobotaxi + busMulti-typeGZ, SG, UAE
QCraftAutonomous shuttleMicro-transit30+ routes20+ cities

Frequently Asked Questions

How advanced is China's C-V2X deployment?

China leads globally in C-V2X with 500,000+ km of V2X-enabled roads, 30+ smart city pilots, and 5G covering 95% of urban areas. Over 200 vehicle models from 50+ manufacturers have adopted China's C-V2X standard.

Which Chinese cities have commercial robotaxi?

Beijing, Shanghai, Guangzhou, Shenzhen, Wuhan, Chongqing, and Chengdu all operate commercial or semi-commercial robotaxi services. Wuhan (Baidu Apollo) and Shenzhen (AutoX) have the largest operations.

What is Huawei's role in connected vehicles?

Huawei provides computing platforms (MDC), operating systems (HarmonyOS), autonomous driving (ADS 3.0), and cloud services as an intelligent automotive component supplier. Its solutions are used by 10+ car brands.

How does China's AV regulation compare globally?

China has progressive autonomous driving regulations, allowing L4 on public roads with safety drivers since 2022 and fully driverless operations in designated zones since 2023. Beijing's Yizhuang and Shenzhen are regulatory pioneers.

What is vehicle-road-cloud integration?

China's vehicle-road-cloud integration strategy combines smart vehicles with intelligent road infrastructure and cloud computing. Roadside units provide additional sensor data to vehicles, reducing accidents by 30%+ in pilot areas.