UK Market to Grow 17.2% CAGR in Autonomous Mobile Robots Market


Northbrook, IL 60062 -- (SBWIRE) -- 11/06/2023 -- The Autonomous Mobile Robots market in the UK is experiencing remarkable growth and transformation, reflecting the nation's commitment to automation and innovation.

AMRs have gained prominence in various sectors, including manufacturing, logistics, and healthcare. These adaptable robotic systems revolutionize manufacturing processes by optimizing material transport, assembly line logistics, and parts handling. In the automotive industry, a vital contributor to the UK's economy, AMRs are used for parts handling and internal logistics, ensuring precision and efficiency in production.

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The logistics and e-commerce sectors in the UK are driving the expansion of the AMR market. These robots are key to improving order fulfillment processes, inventory management, and goods movement in warehouses and distribution centers, aligning with the growing demands of e-commerce. Additionally, AMRs ensure the secure and efficient transport of medical supplies, laboratory samples, and pharmaceutical products within healthcare facilities. The AMR market in the UK reflects a commitment to technological advancement and operational excellence, positioning it as a global leader in deploying advanced robotics and automation solutions. The AMR market in the UK comprises a diverse mix of domestic and international AMR manufacturers, offering a broad spectrum of solutions tailored to different industries and applications.

The global autonomous mobile robots market size is estimated to be valued USD 1.8 billion in 2023 and is anticipated to reach USD 4.1 billion by 2028, at a CAGR of 17.5% during the forecast period.

The market for autonomous mobile robots (AMRs) is expanding because of developments in robotics and artificial intelligence (AI) technology, allowing for the creation of sophisticated autonomous mobile robots. These robots are highly effective and versatile for various businesses as they can carry out complicated tasks independently. The development of advanced sensor technologies has greatly enhanced the capabilities of AMRs. Robots can precisely see and navigate their surroundings by using sensors like cameras, ultrasonic sensors, and LiDAR (light detection and ranging) systems. They can detect obstacles, map environments, and make real-time decisions to avoid collisions. For, Instance, Velodyne, which specializes in LiDAR sensors, have made significant advancements in sensor technology, enabling better perception and navigation for AMRs. AI algorithms and machine learning techniques enable AMRs to learn and adapt to their environments. Computer vision allows robots to recognize and interpret objects, people, and gestures, allowing for more sophisticated interaction with the surroundings.