Automated Material Handling (AMH) Market
Automated Material Handling can play an essential role in modern factories for work-in-process storage and offer the advantages of improved inventory control and cost-effective utilization of time, space and equipment.
The market for automated material handling equipment is fragmented with players such as Daifuku, Schaefer Systems International, KION Group, Murata Machinery, Vanderlande, and so on. Top 17 companies occupy about 50% market share in 2016. North America and Europe are dominating the market both in production and consumption with 50%-60% share.
Continuous rise in demand for automation in industries has revolutionized the adoption of automated material handling equipment. With the advent of technologies such as robotics, wireless technologies, and driverless vehicles, the automated material handling equipment market has witnessed significant growth over the last few years. Major players in automated material handling industry focus on the development of affordable, small, compact, and energy-efficient material handling solutions to reach a wider customer base. Recent boom in e-commerce is a major driver for the materials handling systems, with widespread demand for process automation worldwide. E-commerce industry players aim on improving the quality of their service through minimal waste generation. In developing nations, industrialization and modernization primarily support the market growth.
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The major restraints for automated material handling equipment is high initial investment. The initial cost required for the set up and integration of the automated material handling equipment is high, which limits the use of these equipment in heavy manufacturing organizations. Industries with high labor costs are anticipated to use robotic systems and automated guided vehicles to reduce their labor costs and produce high quality products. Industries, such as automotive and electronics, where precision and accuracy play a major role, use automated systems to meet international quality standards. However, with new emerging technologies, and growth in competition in the market, the initial costs of automated material handling equipment would reduce in the future.
The global Automated Material Handling (AMH) market is valued at xx million US$ in 2018 is expected to reach xx million US$ by the end of 2025, growing at a CAGR of xx% during 2019-2025.
This report focuses on Automated Material Handling (AMH) volume and value at global level, regional level and company level. From a global perspective, this report represents overall Automated Material Handling (AMH) market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, China and Japan.
At company level, this report focuses on the production capacity, ex-factory price, revenue and market share for each manufacturer covered in this report.
The following manufacturers are covered:
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Segment by Regions
Segment by Type
Automated Storage and Retrieval System(AS/RS)
Automatic Guided Vehicle (AGV)
Conveyor & Sorter Systems
Segment by Application
E-commerce & Retail
Food & Beverage
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Major Point of TOC:
Chapter One: Automated Material Handling (AMH) Market Overview
Chapter Two: Global Automated Material Handling (AMH) Market Competition by Manufacturers
Chapter Three: Global Automated Material Handling (AMH) Production Market Share by Regions
Chapter Four: Global Automated Material Handling (AMH) Consumption by Regions
Chapter Five: Global Automated Material Handling (AMH) Production, Revenue, Price Trend by Type
Chapter Six: Global Automated Material Handling (AMH) Market Analysis by Applications
Chapter Seven: Company Profiles and Key Figures in Automated Material Handling (AMH) Business
Chapter Eight: Automated Material Handling (AMH) Manufacturing Cost Analysis
Chapter Nine: Marketing Channel, Distributors and Customers
Chapter Ten: Market Dynamics
Chapter Eleven: Global Automated Material Handling (AMH) Market Forecast
Chapter Twelve: Research Findings and Conclusion
Chapter Thirteen: Methodology and Data Source
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