China Intralogistics Market by Component (Hardware (AS/RS (Unit-Load, Mini-Load, VLMs, Carousel), Industrial Robots, Mobile Robots (AGV, and AMR), Conveyor Systems, Sortation Systems, Software (WMS, TMS, Yard Management, and Others) and Services), and by End User (Retail and E-commerce, Automotive, Food and Beverage, Pharmaceuticals, Aviation, Logistics, Semiconductor & Electronics, Consumer Goods, Others) –Opportunity Analysis and Industry Forecast, 2025–2030
Industry: Construction & Manufacturing | Lastest Edition: June 18, 2026 | No of Pages: 144 | No. of Tables: 110 | No. of Figures: 55 | Format: PDF | Report Code : CM1055
China Intralogistics Market Overview
China Intralogistics Market size was valued at USD 10.39 billion in 2024 and is projected to grow to USD 12.01 billion by 2025. Additionally, the market is expected to continue its growth trajectory, reaching USD 21.48 billion by 2030, with a CAGR of 12.3% from 2025 to 2030. Also, in terms of volume, the market size was 343.19 thousand units in 2024, and is projected to reach 407.88 thousand units by 2025. Additionally, the industry is expected to continue its growth trajectory, reaching 810.24 thousand units by 2030, with a CAGR of 14.7% from 2025 to 2030.
China remains the leader in the Asia Pacific intralogistics market, driven by explosive e-commerce growth, with online retail sales reaching USD 3.56 trillion in 2024, accounting for 52% of total retail sales. The increasing demand for high-speed logistics is met by significant investments in automated storage systems, AI-powered warehouse management, and robotic technologies, enhancing order cycle times and space utilization. As the world’s largest industrial robot market, China’s rapid automation, backed by government initiatives, strengthens the logistics ecosystem across sectors like electronics and automotive. However, high upfront and ongoing costs of automation technologies pose a significant barrier to intralogistics adoption, especially for small and medium-sized enterprises. The integration of AI in intralogistics, such as Nimble Robotics’ fully autonomous warehouses, presents significant opportunities for growth, further improving scalability and operational efficiency in the market.
Surge in E-Commerce Growth Drives Logistics China Intralogistics Market Expansion
The intralogistics market in China continues to lead the Asia Pacific region, driven by exponential e-commerce growth. With online retail sales reaching USD 3.56 trillion in 2024 and accounting for 52% of total retail sales in 2023, China surpasses all global markets. Over 710 million digital buyers and the dominance of livestreaming e-commerce platforms require scalable, high-speed intralogistics operations. To meet this demand, companies are investing heavily in automated storage and retrieval systems (ASRS), AI-powered warehouse management systems (WMS), and robotic picking technologies. These solutions reduce order cycle times, enhance space utilization, and support same-day and next-day delivery expectations, cementing China’s leadership in digital retail logistics.
Adoption of Industrial Robots for Warehouse Automation Boosts the China Intralogistics Market Growth
China is the world’s largest industrial robot market, accounting for 52% of global robot installations in 2023. According to the Information Technology and Innovation Foundation (ITIF), China's robot adoption rate is 12.5 times higher than expected based on wage levels a sharp increase from 1.6 times in 2017. This rapid automation is heavily supported by government initiatives, subsidies, and the Made in China 2025 strategy. Industrial robots, autonomous mobile robots (AMRs), and smart conveyor systems are increasingly used in logistics hubs and manufacturing sites to boost throughput, lower labour dependence, and meet growing demands from sectors such as electronics, automotive, and FMCG. These advancements significantly strengthen the intralogistics ecosystem.
High Initial Investment Poses a Barrier to Intralogistics Growth
One of the primary challenges facing the intralogistics sector is the substantial initial investment required for automation technologies such as conveyors, warehouse management systems, mobile robots, and automated cranes. These capital-intensive solutions present financial obstacles for small and medium-sized enterprises (SMEs). Beyond the initial acquisition costs, ongoing expenditures related to system maintenance, software upgrades, and employee training further elevate the total cost of ownership. This cumulative financial burden restricts adoption, particularly among budget-constrained businesses, thereby impeding the sector’s growth and limiting its potential to enhance supply chain efficiency.
Integration of Artificial Intelligence Presents Significant Opportunities for China Intralogistics Market Expansion
The adoption of artificial intelligence (AI) within intralogistics is emerging as a key driver of market growth, revolutionizing warehouse operations and significantly enhancing operational efficiency. AI-enabled Industrial robots are increasingly capable of autonomously navigating complex warehouse environments to perform critical tasks such as picking, packing, and sorting, thereby reducing the physical strain on human labour. A prominent example is Nimble Robotics, which secured USD 106 million in Series C funding in October 2024, led by FedEx, attaining a valuation of USD 1 billion. The company has introduced fully autonomous warehouses featuring general-purpose AI robots designed to dynamically adapt to real-time operational changes. As AI technology continues to improve scalability, flexibility, and cost-efficiency in warehouse automation, it is expected to be a pivotal force in driving market expansion in the coming years.
Competitive Landscape
The market players operating in the China intralogistics industry include Jungheinrich AG, Daifuku, SSI Schäfer, Dematic, Honeywell International Inc., Vanderlande Industries B.V., MasterMover, BEUMER Group, Geek+ Technology, Lodige Industries, Siemens AG, Bowe Intralogistics, KNAPP, Swisslog, Mobile Industrial Robots (MiR)., and others.
China Intralogistics Market Key Segments
By Component
-
Hardware
-
Automated Storage and Retrieval Systems (AS/RS)
-
Unit-Load AS/RS
-
Mini-Load AS/RS
-
Vertical Lift Modules (VLMs)
-
Carousel AS/RS
-
-
Conveyor Systems
-
Pallet Jacks & Stackers
-
Shuttle Systems
-
Industrial Robots
-
Sortation Systems
-
Mobile Robots
-
Automated Guided Vehicle (AGV)
-
Autonomous Mobile Robot (AMR)
-
-
-
Software
-
Warehouse Management System (WMS)
-
Transportation Management System (TMS)
-
Yard Management Software
-
Inventory Management Software
-
Labor Management Software
-
Other Software
-
-
Service
By Automation Level
-
Manual
-
Semi-Automated
-
Fully Automated
By End-User
-
Retail and E-commerce
-
Automotive
-
Food and Beverage
-
Pharmaceuticals
-
Aviation
-
Logistics
-
Semiconductor & Electronics
-
Consumer Goods
-
Other End Users
Key Players
-
Jungheinrich AG
-
Daifuku
-
Honeywell International Inc.
-
Vanderlande Industries B.V.
-
MasterMover
-
BEUMER Group
-
Geek+ Technology
-
Lodige Industries
-
Siemens AG
-
Bowe Intralogistics
-
KNAPP
-
Swisslog
-
Mobile Industrial Robots (MiR)
Report Scope and Segmentation
|
Parameters |
Details |
|
Market Size in 2025 |
USD 12.01Billion |
|
Market Volume in 2025 |
407.88 thousand Units |
|
Revenue Forecast in 2030 |
USD 21.48 Billion |
|
Volume Forecast in 2030 |
810.24 thousand Units |
|
Value Growth Rate |
CAGR of 12.3% from 2025 to 2030 |
|
Volume Growth Rate |
CAGR of 14.7% from 2025 to 2030 |
|
Analysis Period |
2024–2030 |
|
Base Year Considered |
2024 |
|
Forecast Period |
2025–2030 |
|
Market Size Estimation |
Billion (USD) |
|
Market Volume Estimation |
Thousand Units |
|
Growth Factors |
|
|
Companies Profiled |
15 |
|
Market Share |
Available for 10 companies |
|
Customization Scope |
Free customization (equivalent up to 80 working hours of analysts) after purchase. Addition or alteration to country, regional, and segment scope. |
|
Pricing and Purchase Options |
Avail customized purchase options to meet your exact research needs. |
About the Author
Ridip Gogoi is a research associate recognized for his strong analytical thinking and meticulous attention to detail. He specializes in transforming complex datasets into meaningful insights that support informed business decisions and strategic planning. With a proactive mindset and strong commitment to accuracy, he contributes effectively to market analysis, data validation, and insight generation. Ridip is driven by continuous learning and consistently works to enhance research quality, analytical depth, and reporting clarity across projects.
About the Reviewer
Supradip Baul is an accomplished business consultant and strategist with over a decade of rich experience in market intelligence, strategy, technology, and business transformation. His work has included rigorous qualitative and quantitative analysis across multiple industries, helping clients shape investment decisions and long-term roadmaps. Earlier in his career, he was associated with Gartner, where he contributed to industry-leading reports and market share analyses. He has worked with leading global companies and holds an MBA with a dual specialization in Marketing and Finance.
At Next Move Strategy Consulting, we understand that insightful market research is the cornerstone of successful business decisions. That's why we employ a robust and multifaceted approach, combining various methodologies to deliver the most accurate and actionable data for our clients.
Research Landscape
We navigate the world of research with two primary approaches:
Qualitative Approach
Our qualitative research methodologies involve immersive techniques such as in-depth interviews, focus groups, and observational studies. By engaging directly with individuals and stakeholders, we uncover valuable insights that quantitative data alone may overlook.
Quantitative Research
In tandem with qualitative methodologies, NMSC leverages the power of Quantitative Research to provide a robust foundation of numerical insights. Through systematic data collection and analysis, we quantify patterns, preferences, and market trends, offering a comprehensive view of the business landscape.
Our quantitative research approach employs diverse tools, including surveys, experiments, and statistical modelling. These methodologies enable us to gather data from a large and representative sample, ensuring the statistical significance of our findings. By employing structured questionnaires and standardized data collection methods, we guarantee the reliability and validity of the information we present to our clients.
Quantitative research is particularly effective in measuring the prevalence of trends, assessing market size, and gauging the impact of various factors on consumer behavior. The numerical precision attained through this approach equips our clients with actionable insights, facilitating data-driven decision-making and strategy formulation.
Our Specialized Toolbox for Industry-Specific Market Research
We deploy a specialized arsenal of techniques tailored to meet your unique requirements. Here's a glimpse into our comprehensive toolbox:
Information Procurement
The stage entails acquiring market data or relevant information through various sources and methodologies.
Market Research Approach
We utilize both top-down and bottom-up approaches in market research analysis to achieve a comprehensive understanding of the market dynamics, leveraging the broad perspective of industry trends and macroeconomic factors alongside detailed insights from specific segments and individual companies.
Porters Five Forces Analysis
We conduct Porter's Five Forces analysis to evaluate the competitive landscape of an industry, providing us with insights into factors that affect profitability and strategic positioning.
SWOT Analysis
Forecasting
We utilize a forecasting model to predict future consumption by considering parameters like population, economics, regulations, market competition, drivers, constraints, technology, and pricing. We also employ statistical techniques such as multilinear regression, exponential smoothing, moving average, ARIMA, and Monte Carlo simulations for accurate predictions. In econometric forecasting, we analyzed short-term and long-term event impacts, attributing values based on regulatory frameworks, economic factors, and market events.
Speak to Our Analyst
