Automated Guided Vehicles Market: A Comprehensive Study of Key Players and Segments

 

 

Automated Guided Vehicles (AGVs) Market was estimated at USD 1.87 billion in 2021, and is projected to reach USD 2.99 billion by 2028, growing at a CAGR of 6.9%.

Automated Guided Vehicles (AGVs) are driverless, self-propelled vehicles used for transporting substances within a facility. These robots follow marked paths or use superior navigation structures like laser guidance, magnetic strips, or vision cameras to move round warehouses, factories, and distribution facilities.

AGVs are geared up with various load-managing attachments, consisting of forks, conveyors, or platforms, to accommodate unique kinds of materials. They are capable of appearing tasks like transporting uncooked materials, finished items, and work-in-development items, as well as loading and unloading vans and cabinets.

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Top Key players of Automated Guided Vehicles (AGVs) Market

· JBT Corporation

· Kuka AG

· Daifuku Co Ltd

· Kion Group AG

· Omron Adept Technologies INC

· AGVE Group Inc

· Murata Machinery

· Transbotics Corporation

· Oceaneering International Inc

· Seegrid Corporation

· Murata Machinery

· SSI Schaefer

· AVT Europe NV

· Cassioli Srl

· Toyota Industries Corporation

· Robotnik

· Kollmorgen

· E&K Automation GMBH

· BEUMER Group GmbH & Co KG

· Mecalux

· S.A

· Bastian Solutions Inc.and other major players.

Introspective Market Research Private Limited specializes in delivering comprehensive market research studies that provide valuable insights and strategic guidance to businesses worldwide. Our reports draw data from diverse and solid primary and secondary sources. By utilizing industry-standard tools like Porter’s Five Forces Analysis, SWOT Analysis, and Price Trend Analysis, we enhance the comprehensiveness of our evaluations.

Segmentation Of Automated Guided Vehicles (AGVs) Market:

By Type

· Tow Vehicles

· Unit Load Carriers

· Pallet Trucks

· Assembly Line Vehicles

· Others

By Navigation Technology

· Laser Guidance

· Magnetic Guidance

· Inductive Guidance

· Others

By Application

· Logistics & warehousing

· Assembly

· Packaging

· Raw material handling

· Others

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Our market research study carefully examines the overall industry, covering all essential market fundamentals. Through an extensive range of primary and secondary sources, we establish a robust foundation for our findings. To enhance the comprehensiveness of our evaluation, we employ industry-standard tools like Porter’s Five Forces Analysis, SWOT Analysis, and Price Trend Analysis.

Regional Outlook:

· North America (U.S., Canada, Mexico)

· Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)

· Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)

· Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)

· South America (Brazil, Argentina, Rest of SA)

Market Dynamics and Factors of Automated Guided Vehicles Market:

Drivers:

Automation is more necessary in the automotive, healthcare, e-commerce, and food and beverage industries due to their universal requirement for high efficiency. Possibilities for human mistake, enhancing safety, guaranteeing large manufacturing quantities, and raising accuracy and consistency. Just-in-time (JIT) delivery of raw materials, computerized control of assembled parts upon receipt, and tracking of things despatched are all made possible by the utilization of AGV. AGVs make it easier to store, distribute, and move items without the need for human interaction. This lowers the risk of worker accidents and product damage while also improving accuracy. AGVs also save labor expenses in warehouses over the long run in a variety of ways.

Opportunities:

In an effort to increase productivity and cut expenses, numerous sectors are moving toward automation and digital integration in their operations. As the industrial revolution drives the manufacturing, warehousing, and logistics sectors to incorporate automation into everyday operations, the term “industry 4.0” is becoming more and more popular. Algorithm-driven networked machines collect vast amounts of data that can be used to diagnose problems with performance, maintenance, and other areas. The data is also analyzed to identify patterns and insights that are too complex for a human to understand in a short period of time. Manufacturing businesses may quickly and effectively improve their operations using Industry 4.0 by identifying the main focus of their operations through data collected by sensors and machinery.

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Posted in Default Category on August 16 2024 at 02:06 PM

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