Analysis: Logistics robots are on the cusp of a major boom.

The intelligent and flexible evolution of logistics robots will enable autonomous operations at increasingly complex levels, a disruptive development for the logistics industry that is sure to accelerate its transformation and give rise to an entirely new logistics ecosystem.

Chinese logistics robots are aggressively capturing global market share with unprecedented momentum.

Behind the growing efficiency of express delivery—whether it’s “half-day delivery” or “next-day delivery”—lies China’s logistics industry’s relentless drive toward intelligent and technology‑driven innovation. Its primary product offering is Chinese logistics robots.

In Against the backdrop of Industry 4.0, China’s industries are undergoing transformation and upgrading, and the logistics sector is continuously exploring intelligent solutions to reduce costs and boost efficiency. Today, smart robots equipped with functions such as material handling, palletizing, and sorting have become a major highlight in the logistics industry.

According to Fairfield’s report forecasts that, In During the 2021–2025 period, the logistics robotics market is expected to grow at a compound annual growth rate of 23.7%, with the market value projected to reach US$12.7391 billion by 2025.

Although compared with Europe and the United States, China’s logistics robots still have many shortcomings—such as the lack of an industry‑wide standardization ecosystem and breakthroughs in core component technologies—according to Lu Hanchen, director of the Gaogong Robot Industry Research Institute, speaking to TMTPost… According to the APP, “Unlike industrial robots, which are still catching up, China’s logistics robots—whether in terms of technological sophistication, industry scale, or the overall strength of their manufacturers—possess the potential to lead the global market.”

01 Low penetration rate, exploration “Low cost” is the key.

Logistics robots are robotic systems used in warehouses, sorting centers, and during transportation to perform tasks such as cargo transfer and handling.

From the perspective of application areas, logistics robots are categorized into industrial logistics robots and commercial logistics robots; from the functional standpoint, they can be divided into… AGVs (Automated Guided Vehicles), palletizing robots, sorting robots, AMRs (Autonomous Mobile Robots), RGVs (Rail‑Guided Vehicles), and unmanned delivery robots can be deployed in scenarios such as automated warehouses, production lines, and outdoor enclosed or semi‑enclosed areas.

The Ministry of Transport last year Data released on November 3 show that the number of domestic road freight workers has reached 17.2873 million, accounting for roughly 60% of all employees across all modes of transport. Regularly working in logistics parks or on the roads—loading, unloading, and handling goods—has exposed these workers to a range of occupational hazards, including respiratory illnesses, lumbar muscle strain, falls from heights, puncture wounds, crushing injuries, blunt‑force trauma, collision injuries, as well as risks of traffic accidents and infectious disease transmission. These have become the most common “occupational ailments” among logistics personnel.

The use of logistics robots can effectively enhance delivery and sorting efficiency while mitigating the various risks associated with manual operations. Taking JD Logistics’ Tianlang robot as an example, its automated system replaces manual tasks with an accuracy rate as high as 99.99%, with storage density increased by over 300% and picking efficiency improved by 300%–500%—an astonishing level of performance.

However, at present, logistics robots are not widely adopted in most Chinese warehouses, and even in developed countries such as Europe and the United States, their deployment remains relatively limited.

Rui Industry At the beginning of the month, MIR released its “In-Depth Analysis of Financing Trends in the Industrial Robotics Sector for 2022.” The report indicates that the logistics industry’s express delivery market is expected to surpass one trillion yuan in 2023; however, the sector continues to grapple with pervasive challenges, including low efficiency, harsh working conditions, and frequent safety and quality incidents. Meanwhile, the adoption rate of intelligent, unmanned operations as a solution remains extremely low, standing at only around 3%.

In this regard, Lu Hanchen, director of the Gaogong Robotics Industry Research Institute, told Titanium Media… The APP analysis states: “Although the overall base for logistics robot adoption remains relatively small, it is undeniable that logistics robots have been one of the fastest-growing segments in the robotics industry over the past several years. From a sectoral perspective, the commerce and distribution sector—particularly e‑commerce retail—has seen comparatively widespread deployment of logistics robots.” Most industrial manufacturing sectors are still in the early stages of adopting logistics robots, with key factors including industry awareness, the level of technological advancement, and implementation costs. ”

Zhao Lijun, deputy director of the Chongqing Rural Revitalization Research Institute, who primarily focuses on intelligent robotics research, also told Titanium Media… The APP stated, “Our use of logistics robots remains limited, primarily because their level of intelligence still needs further refinement and improvement, while their costs remain relatively high. As a crucial component of the transformation and upgrading of intelligent manufacturing, this technology requires more time to mature, and its development is thus constrained by multiple factors.”

The costs of logistics robots are primarily concentrated in upstream components, such as core controllers, drives, and so on. For example, Take AMR as an example: the price of a single LiDAR ranges from roughly RMB 20,000–30,000 to several hundred thousand yuan, and this does not even account for the costs of various control and localization modules. For a standard AGV forklift with a payload capacity of one ton, the typical price falls between RMB 400,000 and 700,000 per unit. Consequently, optimizing control systems and reducing costs have become key areas of active exploration for many logistics‑robot manufacturers.

02   Expansion of application scenarios and rapid industry growth

Looking at the evolution of logistics robots, starting with the earliest magnetic‑guided systems… AGVs already have well-established industrial applications and have been in use for several decades.

China’s logistics robotics technology began in After 1990, the Beijing Lifting Machinery Research Institute developed the first AGV and built the first AGV‑based ball‑bearing machining demonstration system. In 1988, the Beijing Postal Science and Technology Research Institute of the former Ministry of Posts and Telecommunications developed an AGV for postal hubs. In 1991, AGVs were applied for the first time on an automobile assembly line.

From 2010 to 2020, the rapid growth of China’s e-commerce sector drove a sharp surge in parcel‑delivery volumes.

The emergence of warehouse robots has, to a certain extent, boosted the efficiency of e‑commerce logistics and has also spurred the entire Chinese… The development of the AGV industry.

With the growth of e-commerce and the logistics industry, companies such as HaiRou Innovation, Siasun, Kuicang, and Geek+ have entered the market one after another. In the field of AGV research and development and manufacturing.

In 2012, to enhance the efficiency of its fulfillment centers, e-commerce giant Amazon acquired Kiva Systems’ robotic warehousing business for $775 million, marking the beginning of warehouse automation and becoming a landmark event in the industry.

Since 2015, Kiva‑style warehouse robots have begun to be officially deployed in China. At that time, the number of logistics‑robot companies had already approached 60.

After undergoing five distinct phases—technology importation, entry into specialized markets, technological refinement, and practical application—China’s logistics robotics sector has now reached a relatively mature stage. In certain areas of research and development as well as manufacturing, its capabilities have either aligned with international standards or even surpassed them. Beyond the express‑delivery and logistics industries, major manufacturers in sectors such as apparel and consumer electronics are also deploying logistics robots in their own warehouses.

According to the report published by the HuaJing Industry Research Institute, “ The “2022–2027 China Logistics Robotics Industry Market Research and Investment Planning Report” indicates that, from the perspective of industry application structure, the automotive industry, home appliance manufacturing, and e‑commerce warehousing and logistics constitute the primary sectors for logistics robots, collectively accounting for more than 60% of the market. Among these, the automotive industry holds the largest share at 24%, followed by home appliance manufacturing and e‑commerce warehousing and logistics, with shares of 22% and 15%, respectively.

However, at the same time, logistics robots are predominantly deployed in large-scale logistics and manufacturing enterprises, leaving smaller businesses with delayed fulfillment of their logistics‑robot needs.

From JD Logistics, which began developing logistics robots as early as 2016, told the Titanium Media app: “A common situation in China today is that most efforts are focused on building smart warehouses for large enterprises. As a result, product designs tend to cater primarily to the needs of big companies and their applications, with insufficient attention paid to smaller businesses.”

Meanwhile, small businesses that invest in smart warehousing equipment often face a critical challenge: they lack adequate operations and maintenance support. Truly tailored products and services for SMEs remain relatively scarce.

In recent years, logistics robots have entered a phase of rapid development. According to reported data, China… The AGV market size grew from RMB 2.85 billion in 2017 to RMB 8.77 billion in 2021, posting a compound annual growth rate of 32.45%. In 2021, China’s logistics robot sales reached 72,000 units, up 75.61% year over year. The industry recorded 196 patent applications, a 22.7% increase compared with the previous year. In terms of investment deals, there were 72 transactions in 2021, 14 more than in 2020. As of September 2022, the Chinese logistics robot sector had seen 46 investment deals.

Independent economist Wang Chikun told TMTPost. APP: “At present, China’s logistics robotics industry has reached a stage where its application technologies are preliminarily mature and have begun to enter large-scale deployment.”

Analyzing the current market competitive landscape, the leading companies in China’s warehouse robotics industry exhibit relatively low market concentration. CR4 stands at only about 24.7%, indicating that the market remains in the early atomic‑type stage overall.

03 R&D of core components remains to be breakthrough.

Global competitive advantages are becoming evident.

The core technologies underlying logistics robots primarily include navigation and localization, motion control, and multi-robot swarm coordination. Compared with the technological maturity of foreign logistics robots, China’s logistics robotics sector started later but has since experienced rapid growth, with increasingly diverse application scenarios.

From a technical standpoint, foreign technologies in areas such as mechanical design, navigation and positioning, motion control, and sensors are relatively mature, and product offerings are more diversified, encompassing applications like robotic grasping and multi-robot scheduling. However, in terms of commercializing core technologies, domestically produced magnetic‑navigation and QR‑code‑based navigation systems are close to their international counterparts, while domestic laser‑guided systems still lag behind their foreign equivalents.

Especially in the field of outdoor delivery robots, obtaining road‑right approval for low‑speed autonomous vehicles remains challenging. At present, autonomous‑vehicle delivery is advancing more smoothly in closed‑campus settings, while real‑world highway operation is still confined to small‑scale pilot trials. By contrast, comparable foreign products have already received authorization to deploy on public roads and have achieved… Level 4 autonomous driving, significantly outpacing domestic offerings.

“Overall, China’s regulatory framework for the operation of autonomous delivery vehicles is still in its infancy. At present, unmanned delivery services in residential communities and industrial parks benefit from a relatively flexible policy environment: as long as the property owner or management approves, the delivery‑robot system meets technical standards, and there are no risks to community or park safety, deployment can proceed. However, outdoor delivery has yet to develop into a fully mature business model.”

JD Logistics to TMTPost The APP stated that large-scale operations of unmanned delivery can only realize their overall cost advantages—such as intelligent scheduling of delivery tasks to reduce costs and improve efficiency—when a fully integrated, end-to-end delivery chain is established. The successful implementation of an end-to-end smart unmanned delivery system hinges on the coordinated support of multiple factors, including relevant laws and regulations, the development of intelligent connected infrastructure, and the maturity and stability of underlying technologies.

From the perspective of core components, domestic logistics robots still rely on foreign brands for key parts such as sensors and drive controllers.

In the upstream segment of the logistics‑robot industry—covering core components such as controllers, servo systems, and precision reducers—the leading suppliers are Japan’s Mitsubishi, Yaskawa, and Panasonic; Germany’s Siemens and Bosch; and France’s Schneider Electric. Although domestic players like Inovance Technology, Estun, Leadshine Intelligent, and Green Harmonic have begun to make their mark and compete with foreign firms, the majority of market share remains firmly in the hands of foreign brands.

“At present, we have yet to achieve breakthroughs in several core technologies; we still rely on imported chips, and our existing infrastructure remains constrained,” Zhao Lijun told the Titanium Media app when discussing the limitations hindering the development of logistics robots in China.

However, from the supplier perspective, Chinese logistics robot manufacturers enjoy a clear price advantage over their international counterparts. Taking a payload of… Taking a standard 1-ton AGV forklift as an example, compared with domestic prices of RMB 400,000 to 700,000 per unit, overseas AGV products generally retail for RMB 800,000 to 1 million per unit.

In terms of market demand, developed countries such as Europe, the United States, Japan, and South Korea face labor shortages and high labor costs. Taking the average annual salary of warehouse workers as an example, the average annual salary of domestic warehouse workers is… Around RMB 50,000, whereas in the U.S. and the U.K. it can reach RMB 200,000. Compared with the domestic market, overseas customers exhibit a stronger willingness to adopt logistics robots. Moreover, in recent years, as e‑commerce penetration in Southeast Asia has risen and labor‑cost advantages have diminished, demand for logistics robots in the region has been steadily growing.

It can be said that, as international market demand grows, Chinese logistics‑robot manufacturers enjoy an unparalleled price advantage in global competition.

“Unlike industrial robots, which are still in a catch-up phase, China’s logistics robots—whether in terms of technological sophistication, industry scale, or the overall strength of their manufacturers—possess the potential to lead the global market,” said Lu Hanchen, director of the Gaogong Robot Industry Research Institute, to the Titanium Media App.

However, at the same time, Lu Hanchen also stated that, from the perspective of the industry itself, The current shortcoming is the lack of industry-wide standards and norms; Europe has already begun to establish such frameworks, which to some extent constrains the sector’s long-term, sustainable development.

04 Intelligent technologies will accelerate the widespread adoption of logistics robots.

Overall, the primary barrier to the adoption of logistics robots in China today remains whether the upfront investment translates into commensurate cost savings. As the broader economy expands and business volumes grow, these obstacles are gradually diminishing.

The application and deployment of robots is a gradual, iterative process. Currently, the annual growth rate of warehouse robots in China is approximately… At around 50%, the growth rate has already far surpassed the international average; however, due to the relatively small base, the current total number of deployments still falls short of the levels seen in developed countries. As domestic robots gradually mature through research and development in new technologies, emerging applications, and critical components, the demand for logistics robots is set to grow steadily in the years ahead.

In terms of standardization, logistics robot products are currently undergoing gradual standardization.

In 2022, JD Logistics joined forces with industry-leading companies—including Continental Zhiyuan, Geek+ , HaiRou Innovation, Kexong, MuYi Robotics, TaskRobot, XianGong Intelligence, and XingShen Intelligence—to establish the R9 (Robot 9) Mobile Robot Technology Ecosystem Alliance, and released the R9-001 Mobile Robot Communication Technology Specification. The R9-001 specification is designed to accommodate a wide range of material-handling scenarios and control‑scheduling requirements for most mobile robots, while delivering high levels of security, scalability, and completeness.

JD Logistics told TMTPost. The app states, “Several major domestic testing centers have been drafting CR standards for many years and are now gradually promoting and implementing them. The primary challenge lies in the broad range of robotic applications, which requires time to build market awareness and gain industry acceptance. As a result, the full implementation of this standard is expected to unfold progressively.”

In recent years, driven by surging demand in e‑commerce and by emerging technologies such as artificial intelligence, the Internet of Things, big data, and cloud computing, China’s logistics robotics industry has made significant strides.

As technology continues to mature and market competition grows increasingly fierce, The pain points encountered in the market deployment of logistics robots are becoming increasingly pronounced; single‑technology approaches are struggling to meet the diverse demands of various application scenarios, making the integration of multiple technologies an inevitable trend. Such as The development of composite robots such as “AGV + robotic arm” and “AGV + fork,” as well as the application of hybrid navigation technologies like “laser navigation + magnetic nail navigation,” among others.

In response, Wang Chikun told TMTPost… The APP stated, “New directions for the development of logistics robots include further refining logistics‑robot technology, expanding into new application areas, enhancing their mobility and operational capabilities, and conducting data processing and analysis to further elevate their level of intelligence.”

It is easy to imagine, The future development of logistics robots will be increasingly intelligent and flexible, enabling autonomous operations at more complex levels. For example, tasks such as traffic-light recognition, autonomous driving, route planning, proactive lane changing, parking-space detection, and automated parking—along with the ability to coordinate and dispatch tens of thousands of robots simultaneously—can significantly enhance the overall operational efficiency of warehousing and logistics. This represents a disruptive transformation for the logistics industry, poised to accelerate its evolution and give rise to an entirely new logistics ecosystem.

“Logistics robots are gradually evolving and iterating from standalone intelligence toward swarm intelligence, with multi-robot collaboration, mixed‑fleet scheduling management, and cross‑brand vehicle‑type scheduling emerging as new directions and key challenges,” said Lu Hanchen, director of the Gaogong Robot Industry Research Institute, to the Titanium Media app.