Autonomous Delivery Vehicles

Autonomous delivery vehicles, formally known as driverless delivery vehicles, refer to intelligent transport units equipped with sensors such as LiDAR and cameras, integrating modern communication and network technologies to autonomously complete logistics delivery runs without human intervention. Serving as a prime application of autonomous driving technology in logistics, autonomous delivery vehicles—backed by 24/7 all-weather operational capability and substantial cost efficiencies—have emerged as one of the first commercially viable use cases in autonomous mobility, rapidly expanding from last-mile fulfilment to wider urban delivery scenarios.

Core Advantages and Economics

The primary driver for the mass rollout of autonomous delivery vehicles is their proven ability to slash costs and boost operational efficiency. By replacing conventional panel vans and cargo tricycles, autonomous vehicles substantially reduce manpower and fuel expenditure. Data reveals that in express last-mile dispatch operations, unit delivery costs drop by nearly 50% from RMB 0.31 to RMB 0.16 with autonomous vehicles. Monthly operating expenditure sits between RMB 4,000 and RMB 5,500, marking a roughly 40% saving over traditional manual delivery costs of RMB 7,000 to RMB 9,000. Additionally, this collaborative human-machine model frees couriers from repetitive hauling, allowing them to focus on high-value tasks like parcel pick-up and canvassing, ultimately boosting their earnings.

Market Scale and Industry Landscape

Spurred by robust cost benefits and supportive regulatory policies, China's autonomous delivery vehicle market is witnessing exponential growth. By Q1 2026, the nationwide fleet of autonomous delivery vehicles had surged from just over 10,000 units in 2024 to nearly 50,000 units. A report from the China Federation of Logistics & Purchasing projects that the cumulative industry fleet could surpass 2,000,000 units by 2030.

The market demonstrates strong concentration. Industry data shows Zelos (including Cainiao) commanding a 52.3% market share with an operational fleet exceeding 25,000 units, while Neolix holds 36.2% with 17,000 units—collectively accounting for nearly 90% of the total market. Frontrunners like Neolix, Zelos, and Xiaozhu are leveraging ecosystem partnerships and mass deliveries to rapidly push the industry into a phase of scalable, large-scale replication.

Application Scenarios and Technological Trends

Use cases for autonomous delivery vehicles are expanding well beyond courier "last-mile" runs. At present, their primary deployment involves short-haul shuttles running between distribution hubs and community pick-up points. As the technology matures, these vehicles are making inroads into broader intra-city logistics, including cold-chain perishables, supermarket replenishment, and on-demand instant delivery. For instance, MINIEYE's autonomous vehicles have already entered service in cold-chain logistics operations.

On the technological front, the sector is undergoing a major evolution. With rising localisation rates for core components and higher production scale, the hardware cost per vehicle has tumbled from the initial RM1,000,000 mark down to the RM50,000 to RM100,000 bracket. Concurrently, industry leaders are aggressively transitioning towards "mapless solutions"—leveraging on-board sensors for real-time environmental perception and dynamic drivable space mapping—further slashing deployment expenses and broadening operating perimeters.

Challenges Ahead: Regulations and Liability

Amid this rapid growth, the ambiguous legal status of autonomous delivery vehicles remains the single biggest hurdle to mass adoption. Currently, there are no nationwide statutory laws defining whether these units qualify as motor vehicles or non-motorised vehicles, leaving them in a regulatory grey area regarding vehicle registration, compulsory motor insurance, traffic offence penalties, and accident liability assignment. While the *Specifications for Safe Operation of Intelligent Connected Vehicles in Road Testing and Demonstration Applications* enforced in July 2026 offers operational guidance, it serves merely as a recommended industry code rather than binding legislation.

Assigning liability in the event of a collision is equally intricate. Prevailing transport laws centre on the "motor vehicle driver", a concept inapplicable to driverless platforms. While liability typically falls upon the fleet operator in practice, legal ambiguities persist regarding criminal culpability and compensation settlement efficiency. Industry stakeholders are widely calling for dedicated national regulations to institute a bespoke vehicle category for autonomous delivery vehicles, clearly laying out right-of-way privileges, homologation/market entry criteria, and a robust liability determination framework.