Dec. 06, 2025
Source:
Recently, Tongqu Youdao, in collaboration with 13 industry enterprises and organizations, jointly released the 2025 End-to-End Unmanned Delivery Industry Research Report. The report aims to outline the development trajectory of the industry, address key bottlenecks, and forecast future trends, providing authoritative references and action guidelines for industry ecosystem partners. As a representative company in the sector, Rino.ai played a deep role in the research and compilation, offering valuable insights and considerations for the industry from multiple dimensions, including technology, products, and scenarios.
As a pragmatic company deeply involved in the L4-level autonomous driving field, Rino.ai has always focused on "technology implementation" at its core, continuously working on automotive-grade R&D, product innovation, and scenario applications, accumulating mature commercialization experience.
Currently, the product side is showing a trend toward platformization, scenario customization, scaling, integration of both in-scenario and out-of-scenario operations, and alignment with automotive-grade standards, moving from single innovation to multiple breakthroughs. On the technology side, the focus is on architecture integration, algorithm autonomy, software platformization, lightweight mapping, automotive-grade hardware, and foundational safety, driving industry advancement through six-dimensional collaboration.
In automotive-grade R&D and product innovation, Rino.ai adheres to a commercial vehicle product development process, combining the V-process (vehicle) with agile development (software) to build a platform-based, modular vehicle architecture. In collaboration with partners such as Xinyuan Automotive and Jingwei Hengrun, the company is constructing an automotive-grade supply chain and manufacturing system, creating products that are safe, reliable, durable, and cost-competitive.
Focusing on the "scenario-defined vehicles" mindset, Rino.ai has launched core vehicle models that are adapted to diverse needs such as urban last-mile delivery, campus transportation, and cold chain logistics. These models not only provide large-scale delivery solutions for top companies like SF Express and China Post, but also meet the needs of different scenarios through a platform-based design. By leveraging deep industry cooperation and localized operations, Rino.ai achieves the core values of "cost reduction, efficiency improvement, and safety assurance."
The report highlights that unmanned delivery companies like Rino.ai have made multi-dimensional breakthroughs in scenario applications. For example, Rino.ai has formed a strategic partnership with Ele.me to launch the “Hundred Schools Program” for campus unmanned delivery, building a "campus pickup + campus delivery" closed-loop system, completing over a thousand deliveries daily. Additionally, Rino.ai is serving the Hefei SF Express City site, helping improve courier efficiency by 20%. The company has also built a "station - relay station" delivery network for a ZTO Express site in Wuhan, completing over 5,000 deliveries daily and saving more than 180,000 yuan annually.
Currently, the end-to-end unmanned delivery industry is rapidly transitioning from "pilot demonstration" to "large-scale commercialization," with a projected penetration rate of 24.5% by 2030, forming a market scale worth hundreds of billions. Rino.ai will continue to focus on technological innovation as its core, deepen automotive-grade product iteration, expand into diverse application scenarios, and refine flexible business models. The company aims to drive the deep integration of unmanned delivery technology with logistics systems, accelerating the industry's transition from demonstration applications to large-scale commercialization.
