Global Automated Material Handling Equipment Market to Reach US$93.9 Billion by 2030
The global market for Automated Material Handling Equipment estimated at US$54.3 Billion in the year 2023, is expected to reach US$93.9 Billion by 2030, growing at a CAGR of 8.1% over the analysis period 2023-2030. Robots, one of the segments analyzed in the report, is expected to record a 9.9% CAGR and reach US$46.6 Billion by the end of the analysis period. Growth in the Automated Storage & Retrieval Systems (ASRS) segment is estimated at 7.2% CAGR over the analysis period.
The U.S. Market is Estimated at US$8.8 Billion While China is Forecast to Grow at 9.1% CAGR
The Automated Material Handling Equipment market in the U.S. is estimated at US$8.8 Billion in the year 2023. China, the world`s second largest economy, is forecast to reach a projected market size of US$20.0 Billion by the year 2030 trailing a CAGR of 9.1% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 6.5% and 7.4% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 7.3% CAGR.
Global Automated Material Handling Equipment Market - Key Trends & Drivers Summarized
Automated material handling equipment (AMHE) refers to systems and machinery designed to manage, transport, store, and control materials within manufacturing plants, warehouses, and distribution centers with minimal human intervention. This equipment includes automated guided vehicles (AGVs), robotic systems, conveyors, automated storage and retrieval systems (AS/RS), and sortation systems. The integration of AMHE into operations enhances efficiency, accuracy, and speed, reducing labor costs and human error while improving overall productivity. These systems are increasingly critical in various industries, including automotive, food and beverage, retail, and logistics, where there is a constant demand for streamlined and cost-effective material handling processes.
Recent advancements in AMHE technology have significantly transformed the landscape of material handling. Innovations such as the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML) have enabled the development of smarter, more adaptable, and interconnected systems. IoT devices and sensors facilitate real-time monitoring and data collection, allowing for predictive maintenance and improved decision-making. AI and ML algorithms enhance the capability of these systems to optimize routes, manage inventory, and adapt to changing conditions without human intervention. Additionally, the rise of e-commerce and the increasing complexity of supply chains have driven the need for more sophisticated and scalable AMHE solutions that can handle higher volumes and more diverse product ranges efficiently.
The growth in the automated material handling equipment market is driven by several factors, including technological advancements, the rise of e-commerce, and the increasing demand for efficiency in supply chain operations. Technological innovations such as AI, ML, and IoT are making AMHE systems more intelligent and capable of performing complex tasks with higher precision and reliability. The e-commerce boom has necessitated faster and more accurate order fulfillment processes, prompting companies to invest in automated solutions to stay competitive. Additionally, the globalization of supply chains and the need for just-in-time delivery systems have increased the adoption of AMHE to enhance operational efficiency and reduce lead times. The trend towards warehouse automation, coupled with labor shortages and the rising cost of manual labor, further fuels the demand for automated material handling solutions. These factors collectively contribute to the rapid growth and evolution of the AMHE market, making it a critical component of modern industrial and commercial operations.
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