Demand for Autonomous Mobile Robots Growing in Asia-Pacific due to Expanding E-Commerce Industry

 Industrial processes these days have become increasingly complex, along with which, the labor cost is increasing across the globe. In addition to this, the need for increasing productivity in manufacturing facilities has grown substantially as well due to the surging population. Because of these factors, the demand for automated solutions has risen in the industrial sector, which, in turn, is driving the demand for autonomous mobile robots (AMR). 

Robots that can understand and operate in their environment without the presence of an operator are referred to as AMRs. These robots are integrated with a number of sophisticated sensors which allow them to interpret and understand their environment. It is because of these sensors that AMRs are able to perform their tasks in an efficient manner by navigating around different kinds of variable and fixed obstructions. AMRs are flexible robots that find the most efficient route for achieving a task.  

Get More Insights: Autonomous Mobile Robots Market Segmentation Analysis Report

The global AMRs market is predicted to reach a value of $220.6 billion by 2030, increasing from $29.3 billion in 2019, progressing at an 18.3% CAGR during the forecast period (2020–2030), as per a study conducted by P&S Intelligence. The major offerings of the AMR technology are service, software, and robotic system, out of which, the demand for services has been the highest up till now. Other than this, the demand for robotic systems is also predicted to rise significantly in the years to come. 

Different types of robotic systems are humanoid, unmanned maritime vehicle (UMV), unmanned aerial vehicle, and unmanned ground vehicle (UGV). Among these, the demand for UGVs was the highest in 2019, owing to the increasing deployment of these robots for field expedition and logistics applications. UGVs are deployed for automating the process of storage and placement of products in storage facilities and warehouses in the logistics sector. These robots are easy to control and can work for longer hours than manual labor, thereby leading to improved productivity. 


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