CiDi 2025 Report Brings Insights Into Mining Truck Autonomy Growth & Challenges

Why It Matters

CiDi’s rapid scaling underscores China’s leadership in autonomous mining technology and signals a shift toward driverless, electric fleets worldwide, while its profitability challenges highlight the capital intensity of the emerging AHS market.

Key Takeaways

• Revenue rose 115% to ~US$124 million in 2025
• Delivered 630 autonomous trucks, a 317% YoY increase
• Cumulative mileage topped 16 million km, moving 140 million tonnes
• Patents filed 592, granted 369, reinforcing technological moat
• Single operator now oversees 100 trucks with ≤5 min daily intervention

Pulse Analysis

China’s autonomous haulage system (AHS) sector is entering a decisive growth phase, and CiDi Inc. exemplifies the momentum. The company’s 2025 financials reveal a 115% jump in revenue to roughly US$124 million and an 86% increase in gross profit, driven by a 317% surge in truck deliveries. Such scale is powered by deep integration with domestic OEMs—Tonly, LGMG, Yutong—where sensors and control units are factory‑installed, eliminating costly retrofits. The result is a robust ecosystem that can ship fully equipped, battery‑swap‑ready trucks at speed, positioning China ahead of global competitors in operational experience and technology readiness.

Beyond sheer numbers, CiDi’s deployments showcase practical breakthroughs. Over 1,500 autonomous trucks have logged more than 16 million kilometres, transporting 140 million tonnes of ore and coal across harsh environments—from high‑altitude Inner Mongolian pits to Taiwan Cement’s Jurong plant, where 14 all‑electric trucks have run reliably for three years. The firm’s mixed‑fleet operation system enables seamless coordination between driverless trucks and traditional vehicles, while its battery‑swapping solutions reduce downtime and extend range. Strategic partnerships with China National Building Materials Group and leading miners such as Guangna and Hongmao deepen market penetration and create pathways for global rollout.

However, rapid expansion comes at a cost. CiDi’s net loss widened due to a surge in share‑based payments, heightened selling expenses, and rising credit‑impairment provisions—common pressures for Chinese AHS firms investing heavily in R&D and infrastructure. To offset these margins, CiDi is leveraging generative AI to build an intelligent scheduling agent that will dynamically optimise fleet routing, loader coordination, and charging cycles, moving from rule‑based to proactive decision‑making. If successful, this AI layer could lower marginal deployment costs and improve per‑truck profitability, helping the company transition from growth‑centric spending to sustainable earnings while cementing its role as a pioneer in driverless, electric mining operations.