Autonomous Mining Trucks Enter the 10,000-Unit Era: From Demonstration Projects to Large-Scale Commercial Deployment

Industry Analysis | October 2026

• Key Takeaways

• China's autonomous mining truck industry has officially transitioned from pilot demonstrations to large-scale commercial deployment, with cumulative shipments approaching 8,500 units by mid-2026 and full-year volumes projected to exceed 10,000 units — making 2026 the industry's "10,000-unit milestone year."

• Leading autonomous driving solutions have achieved 85%–95% of human operational efficiency, with some scenarios surpassing 100%, fundamentally altering the economic calculus for mining operators.

• The competitive landscape is diverging across three distinct value chain segments — solution providers, OEMs, and operations service firms — each with different performance drivers and margin profiles.

• Overseas expansion is accelerating, with Chinese autonomous mining solutions gaining traction across Australia, South America, Africa, and Southeast Asia, where higher labor costs amplify the ROI case for automation.

  
  

• From "Showcase" to "Production": A Structural Inflection Point

The defining shift of 2026 is the industry's departure from single-vehicle demonstrations and small-batch validations toward 100+ unit, continuously operating, output-based settlement projects. As one industry executive put it, "Projects with a dozen or twenty trucks are not operations — they are showcase projects. Real mines run hundreds of units; that is production engineering."

This transition is underpinned by accelerating deployment data. In 2025, approximately 4,100 autonomous mining transport vehicles were delivered in China, representing a 192.9% year-over-year increase, with sales reaching RMB 5.88 billion (+163.7% YoY). By end-June 2026, cumulative shipments had reached approximately 8,500 units. Nationally, more than 30 mining areas now operate 10+ autonomous trucks, over 50 operate 5+ units, and nearly 20 sites have reached the 100-unit deployment scale. The largest single-site deployment is in Xinjiang's Baishihu open-pit coal mine, with nearly 700 units.

Industry analysts note that autonomous mining trucks have crossed the market introduction phase and entered a rapid growth trajectory above the 10% penetration threshold, following an S-curve acceleration pattern similar to other infrastructure technology adoptions.

• Technology: Three Generations of Evolution

The technology stack has undergone three distinct generations of development:

Generation 1: High-precision map-dependent navigation.
Generation 2: BEV + Transformer architecture, eliminating high-precision map dependency.
Generation 3: End-to-end large models with simulation closed-loop training, now being deployed at scale.

The third-generation "end-to-end" approach has been a critical enabler of efficiency gains. Boreton recently released what it describes as the world's first mining-specific end-to-end autonomous driving large model, integrating fleet coordination, AI-driven dispatch, and digital twin platforms into a unified system. These advances have pushed leading autonomous driving systems to 85%–95% of human operational efficiency, with select scenarios exceeding human performance.

• The Economics Have Flipped

The economic case for autonomous mining trucks is now quantifiable. At Huawei's Huaneng Yimin project in Inner Mongolia — operating at –40°C with a wind chill of –50°C — trucks are designed for an 8-year lifespan with 100% domestic content. Key performance metrics include:

• Payload: 90 tons

• Loaded speed: 35 km/h (up from 25 km/h)

• Cycle time: 5–8 minutes

• Battery swap: 6 minutes for a 568 kWh pack

• Daily operation: 22+ hours excluding shift changes

• Comprehensive transport efficiency:   120% of manual operation

• Labor savings: 136 drivers replaced per 100 trucks, ~RMB 27.2 million in annual labor cost reduction

• Maintenance cost: 15% lower than comparable domestic mines

• Failure rate: 30%+ lower than conventional trucks

Sany Mining's data corroborates these figures: over 13 million kilometers of autonomous driving, 41 million cubic meters of overburden stripped, and at the Baishihu mine, 120 trucks have accumulated 3.55 million kilometers and moved 14.7 million cubic meters of material since September 2025. The company conservatively estimates transport efficiency at 90%+ of human levels, with 90%+ availability and at least 10% energy savings.

Underlying these numbers are compelling structural drivers: a single fatal accident at a traditional mine can halt production for months, with annual safety and occupational disease-related losses exceeding RMB 25 billion industry-wide. Meanwhile, the average age of on-duty drivers continues to rise, creating an increasingly acute labor gap.

• Value Chain Divergence: Different Segments, Different Logic

The investment thesis across the autonomous mining truck value chain is not monolithic. Three distinct segments are emerging with different performance drivers:

Autonomous Driving Solution Providers — Revenue Elasticity

In-Drive (易控智驾, 07687.HK) reported H1 2026 revenue of RMB 549 million with 3,100+ trucks in operation, targeting 3,500+ by year-end. Gross margin reached 18.9%, up from 1.7% a year earlier — a dramatic improvement driven by the shift toward an asset-light "Autonomous Truck-as-a-Service" (ATaaS) model, which now accounts for 65.6% of revenue. The company holds 53%+ domestic market share, operates across 38 mines, and has broken into high-difficulty metal mining scenarios at Zijin Mining's Julong copper mine.

CiDi (希迪智驾, 03881.HK) reported H1 2026 revenue of RMB 804 million (+97% YoY), with gross margin expanding from 17.1% to 26.4%. Cumulative shipments exceeded 1,900 units across nearly 40 mines globally, with H1 shipments up 213.57% year-over-year. Seven mines now operate 100+ truck fleets, with the largest single-site deployment exceeding 220 units. In February 2026, CiDi secured a 500-truck order from Guangna Group — the world's largest single formal procurement order in the sector to date. The company's adjusted net loss narrowed 82% to approximately RMB 19.68 million.

Mining Truck OEMs — Electrification Penetration

Tongli (同力股份, 920599.BJ) has shipped 3,000+ autonomous mining trucks, with H1 2026 total revenue of RMB 3.563 billion (+12.13% YoY). The company expects new energy products to reach 60% of its portfolio by mid-2026, with autonomous products at 40% and overseas sales already exceeding 50% of total.

North Industries (北方股份, 600262.SH) reported H1 2026 revenue of RMB 1.743 billion (+3.16% YoY), with contract liabilities of approximately RMB 1.672 billion — up 51.64% from year-end — primarily reflecting advance payments on mining truck orders, a leading indicator of future revenue recognition.

The key takeaway for OEMs is not absolute profitability but the validation of the commercial model: revenue scaling with 100+ unit projects, R&D and on-site costs amortized across larger fleets, and rising pure-electric penetration improving whole-lifecycle economics per vehicle.

• Overseas Markets: The Next Growth Frontier

While domestic deployments remain concentrated in a few western provinces — Xinjiang (~51%) and Inner Mongolia (~28%), together nearly 80% of national installations — the overseas opportunity is attracting significant strategic attention.

Global mining majors are rapidly scaling autonomous haulage. Rio Tinto operates 300+ autonomous haul trucks across the Pilbara region, and BHP has deployed 33 autonomous haul trucks and 11 autonomous drills at Escondida Norte. Vale's Salobo copper mine brought 19 autonomous trucks online in August 2026, with plans to expand to 150 units within two years.

Chinese solution providers are positioning aggressively. In August 2026, Sany Group shipped its first batch of SKT110Ei pure-electric autonomous mining trucks overseas, marking the first Chinese autonomous mining truck deployment in South America. Boreton secured an order for 31 trucks for a zinc mine in Zambia, and its Vale project has completed approximately six months of testing, while its Rio Tinto Australia project follows a "plan this year, validate next year, scale the year after" timeline.

CiDi is targeting Australia, Brazil, and Indonesia for international expansion, with Africa, Central Asia, and the Middle East as follow-on markets. The strategic logic is clear: overseas mines face structurally higher labor costs, making the ROI case for automation substantially stronger than in China. However, entry barriers are equally significant — certifications from BHP, Rio Tinto, and Vale serve as de facto gatekeepers for market access.

• What Comes Next: Systemic Capabilities and Standards

As the industry enters large-scale commercial deployment, competition is shifting from point solutions to systemic capabilities. Zijin Mining's Information Director summarized the 10-year outlook as a progression "from single-person unmanned operations and single-machine autonomous operation to full-domain intelligent equipment," requiring staged advancement through point technology adoption, system integration pilots, and ultimately fully integrated autonomous intelligence.

Regulatory infrastructure is also catching up. China's mandatory national standard "Safety Technical Requirements for Autonomous Haulage Systems in Open-Pit Mines" is currently under development, led by the National Energy Investment Group with participation from In-Drive, CiDi, and other industry leaders. The standard will specify safety requirements for vehicles, control platforms, network infrastructure, road and roadside facilities, operations management, and emergency response.

• Outlook

The autonomous mining truck industry has reached a clear inflection point. The commercial model is validated, the economics are compelling, and the deployment curve is steepening. The first half of this commercialization cycle was driven by policy tailwinds and safety imperatives; the second half will be decided by sustained operational data at scale. Companies that can demonstrate reliable, cost-effective performance across diverse geographies and mining conditions — and that can navigate increasingly complex international certification requirements — will be best positioned to capture the next phase of growth.

The 10,000-unit milestone is not an endpoint but a threshold. Beyond it lies an industry where autonomous haulage is no longer a novelty but the baseline expectation for modern mining operations.