Express Delivery Robots Research: registering a compound annual growth rate (CAGR) of 11.5% during the forecast period from 2025 to 2031
QY Research Inc. (Global Market Report Research Publisher) announces the release of 2025 latest report “Express Delivery Robots- Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031”. Based on current situation and impact historical analysis (2020-2024) and forecast calculations (2025-2031), this report provides a comprehensive analysis of the global Wire Drawing Dies market, including market size, share, demand, industry development status, and forecasts for the next few years.
The global Express Delivery Robots market is projected to grow from US$ 129 million in 2024 to US$ 263 million by 2031, at a CAGR of 11.5% (2025-2031), driven by critical product segments and diverse end‑use applications.
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According to the recent report by QYResearch, the global Express Delivery Robots market is projected to grow from USD 129 million in 2024 to USD 263 million by 2031, registering a compound annual growth rate (CAGR) of 11.5% during the forecast period from 2025 to 2031. This growth is driven by increasing demand for autonomous last-mile delivery solutions in urban and rural areas, enhanced by AI-powered navigation, multimodal sensing, and logistic automation.
The market is categorized by both Type and Application:
· Types:
Indoor Delivery Robots
Outdoor Delivery Robots
· Applications:
Urban Areas
Rural and Remote Areas
Leading manufacturers in the global express delivery robots market include:
· Amazon
· Starship Technologies
· Cainiao Network
· JD Logistics
· Xiushiqi
· Meituan
· Pudu Technology
· Qinglang Intelligence
· Type: Twolegged, twoarmed humanoid unit
· Training Site: SF “humanoid park” with indoor obstacle course
· Mobility: Hitches ride in Rivian electric vans (20,000 in fleet; planned expansion to 100,000 by 2030)
· Advantage: Enables doorstep delivery; expands Amazon’s AI “agentic” robotics
· Type: Sixwheeled L4 autonomous sidewalk robot
· Dimensions: 67.8 cm × 56.9 cm × 55.4 cm; weighs 23 kg; 10 kg capacity; up to 6 km/h
· Power & Endurance: 18hour battery life; wireless overnight charging
· Autonomy & Safety: Curbclimbing, winter wheels, anti-tamper sirens, locking cargo
· Operations: Covers ~150,000 roads daily; used globally in all weather
· Type: Golf cart–sized Level-4 autonomous vehicle
· Load & Range: Carries up to 200 kg; up to 100 km per charge
· Supervision & Controls: One operator can supervise 50 units; uses Livox Mid70 LiDAR
· Usage: Used during peak periods, delivering ~2,000 packages/day/station
· Type: UAV + self-driving ground vehicles
· Drone Specs: -20 °C to +50 °C; 5 km range; rain/snow/wind resistant
· Ground Operations: Deployed in Shanghai, Beijing, Shenzhen
· Expansion Plan: New drone routes in Dubai Marina in H2 2025
· Type: Indoor service robot for hospitality/restaurant use
· Load & Duration: 40 kg payload; 12–24 hours operation; 4.5 h charge time
· Mobility & Sensors: 0.5–1.2 m/s cruising; RGB-D + LIDAR sensors
· Features: Multi-table delivery modes, interactive display, modular chassis
The Asia-Pacific region is expected to lead growth in the market, particularly driven by developments in China, Japan, South Korea, and Southeast Asia. Meanwhile, North America and Europe will continue to see steady adoption supported by technology integration and logistics infrastructure.
In 2025, the express delivery robotics field is seeing a transformative shift toward humanoid and multi-form robots. Amazon is spearheading this innovation by initiating real-world testing of two-legged, two-armed humanoid delivery units. These robots are being trained in a dedicated “humanoid park” in San Francisco—an indoor obstacle course the size of a coffee shop. Once deployment begins, the robots will “spring out” from Amazon’s Rivian electric vans (20,000 currently in operation, with an aim to reach 100,000 by 2030) to navigate steps, open doors, and complete doorstep deliveries. This approach not only attempts to slash last-mile costs—estimated up to US$7.1 billion in annual savings by 2032—but also signals a broader pivot toward “agentic AI,” enabling robots to understand natural-language commands and dynamically handle complex human environments.
Starship Technologies continues its strong growth trajectory, having completed over 8 million autonomous deliveries and logged more than 10 million miles across global campuses, urban centers, and corporate zones. These sidewalk-based L4 robots operate at walking speeds (~6 km/h), carry approximately 10 kg per run, and recharge wirelessly overnight. Their widespread deployment underscores a key trend: stable, low-speed delivery systems integrated deeply into public and semi-public spaces, especially in higher education and grocery sectors.
JD Logistics is doubling down on autonomy with its fifth-generation outdoor delivery vehicles. These golf-cart-sized robots feature L4 autonomy, are capable of carrying up to 200 kg, and can travel up to 100 km on a single charge. With one operator able to remotely supervise up to 50 units, JD leverages cloud routing and mid-range LiDAR (Livox Mid-70) for intelligent navigation. Deployed during peak events—such as Singles’ Day—the fleet delivers roughly 2,000 packages per station per day. This scale deployment demonstrates a growing trend: using high-payload, urban-suitable robots to reduce pressure on traditional vehicle fleets and human drivers.
These three examples illustrate broader currents shaping the industry beyond mere CAGR figures. First, there is a clear move toward hybrid and humanoid forms that can adapt to multi-surface environments—urban sidewalks, van cargo bays, and indoor spaces. Second, companies are achieving scale: Starship’s millions of runs reflect operational stability; JD’s heavy-duty fleets show economic viability. Third, the integration of cloud-based orchestration, LiDAR, and AI navigation systems is accelerating, enabling remote oversight of large fleets. Finally, operating models are evolving. Amazon’s “agentic AI” and humanoid vans, alongside JD’s cloud-supervised network, signal a shift toward service models emphasizing flexibility, safety, and lifecycle cost reduction.
As e-commerce, food delivery, and smart city initiatives expand, express delivery robots are becoming vital components of last-mile infrastructure. Trends indicate a continued evolution toward Robot-as-a-Service (RaaS) models and cross-industry applications, especially in healthcare, retail, and postal logistics.
By 2031, companies that leverage AI-driven fleet management, edge computing, and autonomous mobility solutions are expected to dominate the landscape, particularly in high-growth economies and smart logistics corridors.
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Global Express Delivery Robots Market Outlook, In‑Depth Analysis & Forecast to 2031
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The report provides a detailed analysis of the market size, growth potential, and key trends for each segment. Through detailed analysis, industry players can identify profit opportunities, develop strategies for specific customer segments, and allocate resources effectively.
The Express Delivery Robots market is segmented as below:
By Company
Amazon
Starship Technologies
Cainiao Network
JD Logistics
Xiushiqi
Meituan
Pudu Technology
Qinglang Intelligence
Segment by Type
Indoor Delivery Robots
Outdoor Delivery Robots
Segment by Application
Urban Areas
Rural and Remote Areas
Each chapter of the report provides detailed information for readers to further understand the Express Delivery Robots market:
Chapter 1: Introduces the report scope of the Express Delivery Robots report, global total market size (valve, volume and price). This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry. (2020-2031)
Chapter 2: Detailed analysis of Express Delivery Robots manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc. (2020-2025)
Chapter 3: Provides the analysis of various Express Delivery Robots market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments. (2020-2031)
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.(2020-2031)
Chapter 5: Sales, revenue of Express Delivery Robots in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world..(2020-2031)
Chapter 6: Sales, revenue of Express Delivery Robots in country level. It provides sigmate data by Type, and by Application for each country/region.(2020-2031)
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc. (2020-2025)
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
Benefits of purchasing QYResearch report:
Competitive Analysis: QYResearch provides in-depth Express Delivery Robots competitive analysis, including information on key company profiles, new entrants, acquisitions, mergers, large market shear, opportunities, and challenges. These analyses provide clients with a comprehensive understanding of market conditions and competitive dynamics, enabling them to develop effective market strategies and maintain their competitive edge.
Industry Analysis: QYResearch provides Express Delivery Robots comprehensive industry data and trend analysis, including raw material analysis, market application analysis, product type analysis, market demand analysis, market supply analysis, downstream market analysis, and supply chain analysis.
and trend analysis. These analyses help clients understand the direction of industry development and make informed business decisions.
Market Size: QYResearch provides Express Delivery Robots market size analysis, including capacity, production, sales, production value, price, cost, and profit analysis. This data helps clients understand market size and development potential, and is an important reference for business development.
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