Cost Analysis Report on JD Logistics Autonomous Delivery Vehicles
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Based on the latest market research data and industry analysis reports, I have systematically organized the operating cost situation of JD Logistics (HK02618) autonomous delivery vehicles for you:
| Cost Item | Traditional Delivery Model | Autonomous Delivery Vehicle | Difference |
|---|---|---|---|
Hardware/Vehicle Cost |
RMB 120,000 | RMB 50,000 | -58% |
Annual Energy Cost |
RMB 20,000 | RMB 4,400 | -78% |
Annual Maintenance Cost |
RMB 15,000 | RMB 6,000 | -60% |
Annual Labor Cost |
RMB 240,000 | RMB 0 | -100% |
Annual FSD Service Fee |
- | RMB 21,600 | New Item |
Annual Total Cost |
Approx. RMB 400,000 |
Approx. RMB 130,000 |
-67% |
| Indicator | Data | Description |
|---|---|---|
| Cumulative Deployment Quantity | Nearly 2,000 units |
As of June 2025 |
| Daily Processing Volume per Unit | 200-400 parcels |
Normalized Operation |
| Cost Reduction Range | 20%-30% |
Compared with Traditional Delivery Model |
| Efficiency Improvement Range | 20%-30% |
Improvement in Delivery Timeliness |
| Procurement Plan for the Next 5 Years | 1 million autonomous vehicles |
Officially announced by JD Logistics in October 2025 |
JD Logistics has become the comprehensive logistics enterprise with the most robot applications in China’s logistics industry, and its “Wolf Clan” series robots have been deployed on a large scale in more than 20 provinces across China and more than 10 countries worldwide [3].
| Year | Vehicle Price | Daily Operating Cost | Reduction Range |
|---|---|---|---|
| 2018 | RMB 700,000 | RMB 500 | - |
| 2021 | RMB 200,000 | RMB 200 | -71% |
| 2024 | RMB 70,000 | RMB 100 | -90% |
| 2025 | RMB 50,000 | RMB 80 | -93% |
- Localization of Lidar: Reduced from RMB 80,000 to RMB 3,500
- Large-Scale Production: King Long Motors has a customized production capacity of over 10,000 units/year for JD
- Optimization of Technical Route: Shifted from the ‘multi-sensor solution’ to ‘vision-based + lidar backup’ [1][2]
Taking the Jiushi E6 model as an example (adopting the same technical route as JD Logistics):
| Item | Amount |
|---|---|
| Vehicle Price (Excl. Fees) | RMB 50,000 |
| Annual Average FSD Service Fee | RMB 21,600 (RMB 1,800/month) |
| Annual Average Energy Cost | RMB 4,400 |
| Annual Average Maintenance Cost | RMB 6,000 |
Annual Average Total Cost |
Approx. RMB 42,000 |
| Annual Labor Cost Savings | Approx. RMB 200,000 (replacing 4 couriers) |
Annual Average Net Savings |
Approx. RMB 158,000 |
Payback Period |
Approx. 3.5 months |
- Calculated based on national courier outlets, the market space is approximately RMB 468 billion
- Calculated based on the number of national residential communities, the market space reaches RMB 546-728 billion[2]
- As of June 2025, 103 citiesacross the country have opened road right pilots for autonomous logistics vehicles
- The State Post Bureau has proposed accelerating the large-scale application of unmanned aerial vehicles (UAVs) and autonomous vehicles [1]
- Insufficient cost-effectiveness of labor cost substitution in small cities
- Restrictions on areas with open road rights
- Technical maturity and safety still need continuous verification

The above chart shows: 1) Comparison of delivery cost structures; 2) Comparison of annual total costs; 3) Trend of vehicle price changes; 4) JD Logistics deployment scale plan.
[1] 7ITS - “Why Have Autonomous Logistics Vehicles Suddenly Entered a Boom Period?” (October 2025)
https://www.7its.com/?m=home&c=View&a=index&aid=29040
[2] eBrun - “From Hundreds of Thousands to Ten Thousands: Autonomous Delivery Vehicles Launch a Territory Battle” (2025)
https://m.ebrun.com/615169.html
[3] Securities Times - “3 Million Robots, 1 Million Autonomous Vehicles, 100,000 UAVs! JD Logistics’ Official Announcement” (October 24, 2025)
https://www.stcn.com/article/detail/3408608.html
[4] 36Kr - “Crazer Than RoboTaxi: The ‘Extreme Battlefield’ of Autonomous Logistics Vehicles” (2025)
https://eu.36kr.com/zh/p/3438086959372421
Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.
About us: Ginlix AI is the AI Investment Copilot powered by real data, bridging advanced AI with professional financial databases to provide verifiable, truth-based answers. Please use the chat box below to ask any financial question.
