China’s Autonomous Truck Fleet Hits 2,108—What It Means for Global Supply Chains

For supply chain executives, the news from China isn't just about flashy autonomous vehicle technology—it's a direct signal that the cost structure of heavy freight is about to shift. With 2,108 autonomous trucks already working in real-world industrial settings like mines, ports, and factories, logistics costs per ton-mile could drop by 15–20% within two years. China’s head start means that global manufacturers dependent on Chinese raw material exports will soon be able to negotiate tighter delivery schedules and lower demurrage costs, altering the competitive landscape for shipping and procurement.

China is rapidly transitioning from testing autonomous heavy-duty trucks to large-scale commercial deployment, cementing its position as the global leader in this transformative sector. As of mid-2025, the country operated 2,108 autonomous haul trucks across industrial sites and logistics corridors, more than half the world's total of 3,832. This jump from just 2,080 units a year earlier signals an 84% global increase, driven overwhelmingly by Chinese investment in new-energy, artificially intelligent freight vehicles. The story is anchored around Shaanxi Automobile Holding Group (SAHG), a Fortune China 500 manufacturer that has already moved a fleet of intelligent heavy-duty trucks into real-world use—and was among the first enterprises to secure government permits for testing.

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With 2,108 autonomous trucks already working in real-world industrial settings like mines, ports, and factories, logistics costs per ton-mile could drop by 15–20% within two years.

The deployment is unfolding in two distinct operational modes. In enclosed environments such as mines, ports, factories, and logistics parks, trucks operate in fully autonomous mode without a human driver, relying on lidar, cameras, and AI-based perception systems to navigate, avoid obstacles, and coordinate with loading equipment. On long-haul highway routes, the systems function as intelligent driver assistance, augmenting human operators to reduce fatigue and improve fuel efficiency. This bifurcated approach reduces regulatory complexity while targeting the most immediate pain points in China's logistics sector, including chronic driver shortages, high accident rates, and rising operational costs.

Bao Weidong, deputy director of SAHG’s automotive engineering research institute, describes the commercial logic: closed environments offer controlled conditions that speed up autonomous operation approval, while highway logistics address the immense market of freight movement across China’s vast territory. China’s sheer scale—the world’s largest trucking market by volume—provides an unequaled testing ground for data collection and iterative AI improvement, a flywheel effect that is difficult for Western competitors to replicate.

The trucks themselves are new-energy vehicles, predominantly electric, aligning with Beijing’s broader industrial policy push to decarbonize transport. This dual focus on autonomy and electrification creates a distinct competitive advantage, as the electric powertrain simplifies the integration of autonomous driving hardware and allows for over-the-air software updates. SAHG and other domestic OEMs are leveraging China’s advanced battery supply chain and low-cost sensor manufacturing to drive down unit costs, making the business case for autonomous trucks increasingly compelling.

Infrastructure and regulatory support have been critical enablers. Chinese provinces have designated dedicated autonomous driving test zones and issued permits liberally compared to Western markets. This contrasts with the more cautious, safety-first regulatory stance in the U.S. and Europe, where autonomous truck deployment remains largely in pilot phases. China’s national strategy to dominate the global autonomous vehicle market means local governments actively compete to host and subsidize deployments, creating a favorable ecosystem for companies like SAHG.