Global In-plant Logistics Automation Market Strategic Research Report

Scope of the Report

The global In-plant Logistics Automation market size is predicted to grow from US$ 31,210 million in 2025 to US$ 56,620 million in 2032; it is expected to grow at a CAGR of 9.0% from 2026 to 2032.

In-plant logistics automation is a key branch of logistics automation.Automated logistics systems store, transport, and sort materials. Their key features include rapid, efficient, and rational material storage and timely and accurate delivery of needed items. In recent years, automated logistics systems in China have entered a period of rapid development, with the widespread adoption of automated high-bay warehouses representing a significant portion of this market. The scale of newly established automated high-bay warehouses has also steadily increased, with a greater number of automated devices and more complex system integration.

This report primarily examines the current status and future development of the global and Chinese in-plant logistics automation markets, encompassing both equipment and software systems.

Market drivers primarily include the following:

1. Demand for manufacturing upgrades and intelligent transformation

Industry 4.0: Global manufacturing is upgrading towards flexibility and digitalization, and automated logistics systems have become a core component in improving production efficiency. For example, the 5G smart factory built by Today International for TBEA achieved a 30% increase in warehousing efficiency.

Demand for supply chain optimization: Companies are using equipment such as AGVs and automated high-bay warehouses to achieve "zero inventory" management and reduce costs across the entire supply chain (such as the collaboration between Cainiao and BYD).

2. Rising labor costs and shortages

Cost pressure: Average annual wage growth in China's manufacturing industry exceeds 5%, driving companies to adopt automation to replace repetitive tasks such as manual handling and sorting.

Efficiency bottlenecks: Traditional manual warehousing suffers from high error rates and lacks flexibility. AGVs and robotic systems can operate 24/7, reducing human error (for example, the human error rate in the Zhongheng Medical project has been reduced to 0.1%).

3. Technological advancement and policy support

Technological integration: The maturity of AI, IoT, and 5G technologies is driving intelligent logistics systems. For example:

JD Logistics: Dynamic route optimization technology reduces transportation costs. SF Holding: Blockchain technology enables full cold chain traceability.

Policy Dividends:

National Level: Policies such as the "14th Five-Year Plan for Modern Logistics Development" and the "Guidelines for the Construction of the National Intelligent Manufacturing Standard System (2024 Edition)" provide fiscal subsidies and tax incentives.

Local Level: Smart logistics pilot projects are being established in many locations to promote technology implementation (such as the AI + robotics application cases showcased at the 2025 Guangzhou Logistics Expo).

Trends

Technology Deepening: Deep integration of AI and logistics equipment, such as the commercialization of humanoid robots in warehousing.

Application Expansion: Expanding from manufacturing to pharmaceuticals, cold chain, cross-border logistics, and other fields, diversifying demand.

Green Transformation: Driven by policies, the adoption of new energy logistics equipment (such as hydrogen-powered EMUs) will accelerate.

Challenges

Technology Standardization: Equipment compatibility and data interoperability issues remain to be resolved.

Return on Investment Cycle: Small and medium-sized enterprises face high cost pressures, requiring policy subsidies to lower barriers to entry.

Talent Development: A shortage of multi-disciplinary technical talent is hindering the rapid development of the industry. Driven by manufacturing upgrades, labor substitution, and technological policies, the in-factory logistics automation market is showing a trend of international and domestic companies advancing together and accelerating technological integration. In the future, it will evolve in a smarter and greener direction.

This report presents a comprehensive overview of the global In-plant Logistics Automation market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

• Automated Warehouse System
• Automated Handling and Conveying System
• Automatic Sorting and Picking System
• Electrical Control and Information Management System

Segment by players, this report covers

• Daifuku Co.,Ltd
• Okamura
• Siemens
• VanderLande Industries
• Swisslog (KUKA)
• Miracle Automation
• Siasun
• NTI
• Huachangda Intelligent Equipment Group
• Eisenmann SE
• OMH
• Kungming Shipbuilding Equipment
• Blueswords
• CDTB Group
• DEMATIC
• SANFENG
• AFT Group
• Beijing Materials Handing Research Institute
• SSI Schaefer
• Eoslift
• Gangyu
• Gaoko

Segment by Application

• Automobile
• Tobacco
• Medicine
• Machine Made
• Chain Retail
• Food and Beverage Industry
• Chemical & Metallurgy & Building Materials Industry
• Others

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global In-plant Logistics Automation market:

• Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
• Distributors, channel partners and end users in Automobile, Tobacco, Medicine evaluating demand and sourcing options
• Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
• Government agencies, industry associations and research institutions tracking industry developments and policy impact