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Download Free sampleThe global Logistics and Warehouse Automation market was valued at US$ 25.74 billion in 2024 and is projected to reach US$ 63.36 billion by 2030, at a CAGR of 16.2% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The global key manufacturers of Logistics and Warehouse Automation include ABB, Omron, Amazon, Honeywell International, Jungheinrich AG, KION GROUP AG (Dematic), Kuka Ag (Swisslog), Schneider Electric and Siemens AG, etc. in 2024, the global top five players have a share approximately % in terms of revenue.
Logistics and Warehouse Automation Market aims to provide a comprehensive presentation of the global market for Logistics and Warehouse Automation, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Logistics and Warehouse Automation. Logistics and Warehouse Automation Market contains market size and forecasts of Logistics and Warehouse Automation in global, including the following market information:
Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs): AGVs and AMRs are used to transport goods across warehouses with minimal human intervention. AMRs are more adaptable as they navigate dynamically without fixed paths, making them highly effective for warehouses with frequently changing layouts.
Warehouse Management Systems (WMS): WMS is software that helps track and manage warehouse operations, inventory, and workflow. It integrates with other systems to improve inventory accuracy, optimize picking routes, and reduce human error.
Robotic Picking Systems: Robotic arms and automated picking systems handle picking and sorting tasks. These systems use machine vision and AI to identify, grasp, and sort items efficiently, often faster than manual labor.
Internet of Things (IoT): IoT devices track items throughout the supply chain, providing real-time location and condition data. For instance, IoT sensors can monitor temperature-sensitive products, ensuring proper conditions are maintained during storage and transportation.
Artificial Intelligence (AI) and Machine Learning (ML): AI and ML algorithms help optimize various logistics processes, like demand forecasting, inventory management, and route optimization. Predictive analytics also assist in managing inventory based on seasonal demand patterns.
Automated Storage and Retrieval Systems (AS/RS): AS/RS systems are used for storing and retrieving products within a warehouse, reducing labor costs, and maximizing space utilization. These systems work on rails or conveyor belts to bring items to designated picking stations.
Increased Efficiency: Automated systems streamline operations by reducing the time spent on repetitive tasks, such as picking and packing.
Cost Savings: Although initial setup can be expensive, automation reduces long-term costs associated with labor, errors, and inventory shrinkage.
Improved Accuracy and Reduced Errors: Automated systems ensure accurate inventory tracking and order fulfillment, minimizing human errors that can lead to delays and added costs.
Enhanced Scalability: Automation allows companies to scale operations up or down quickly to meet demand without significant delays or added labor costs.
Enhanced Safety: Robotics and automation take over some of the more hazardous or physically demanding tasks, reducing workplace injuries and improving overall worker safety.
E-commerce: As demand for quick order fulfillment grows, automation helps e-commerce warehouses manage inventory more efficiently and deliver faster.
Grocery and Perishable Goods: Automated systems in these sectors often focus on maintaining product quality by integrating temperature-controlled IoT monitoring with AS/RS systems.
Pharmaceuticals: In the pharmaceutical industry, accuracy is critical. Warehouse automation reduces the risk of handling errors and helps manage complex inventories.
High Initial Costs: Implementing robotics, WMS, and other automation tools requires significant investment. Not every business can justify these costs, particularly small to mid-sized enterprises.
Complexity of Integration: Integrating new automation solutions with existing systems and workflows can be complex and requires careful planning to prevent operational disruptions.
Labor Concerns: While automation reduces the need for repetitive manual labor, it raises concerns about workforce displacement. Companies may need to invest in upskilling their workforce for new roles.
Maintenance and Downtime: Automated systems require regular maintenance. Downtime due to malfunctions can disrupt operations, so companies must prepare with backup systems and skilled technical support.
AI-Driven Optimization: The future of logistics automation lies in AI-driven decision-making, from predictive inventory to autonomous last-mile delivery.
Sustainable Automation: There’s a growing trend to incorporate energy-efficient systems and recycling technologies in automation to reduce carbon footprints.
5G and Edge Computing: Faster connectivity through 5G enables real-time data processing and decision-making on the warehouse floor, improving response times and operational efficiency.
Collaboration with Human Workers: Cobots (collaborative robots) work alongside human workers to enhance productivity. They handle repetitive or strenuous tasks, leaving complex decision-making to humans.
Total Market by Segment:
Global Logistics and Warehouse Automation Market, by Type, 2019-2024, 2025-2030 ($ millions)
Global Logistics and Warehouse Automation Market Segment Percentages, by Type, 2024 (%)
Outline of Major Chapters:
Chapter 1: Introduces the definition of Logistics and Warehouse Automation, market overview.
Chapter 2: Global Logistics and Warehouse Automation market size in revenue.
Chapter 3: Detailed analysis of Logistics and Warehouse Automation company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various 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.
Chapter 5: 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.
Chapter 6: Sales of Logistics and Warehouse Automation in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
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.
Chapter 8: The main points and conclusions of the report.
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