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 growth is ascribed to increasing demand for AMRs across several industries, growing need for automation and labor optimization in warehouses, and rising demand for supply chain optimization. Additionally, emerging applications of AMR in a variety of industries are contributing to this market growth.
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.
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Opportunity: potential growth in industry-specific applications
Businesses can open new opportunities and promote innovation by customising AMR technology to match particular sectors' distinct requirements and constraints. AMRs offers solutions to various industries including e-commerce, retail, manufacturing, food & beverage, healthcare, and hospitality. In healthcare industry, AMRs can be customized for supporting tasks such as delivery of supplies and medicines, linen and waste management, disinfection and cleaning, remote monitoring, assistance in patent care and in surgery. For instance, Savioke's Relay robot is designed for healthcare settings, delivering medication and supplies autonomously in hospitals. In retail and e-commerce, AMRs improve inventory management, order fulfillment, and customer experiences by navigating store aisles, restocking shelves, and offering personalized recommendations. The increasing digitalization of supply chains with the advent of Industry 4.0, IoT, big data analytics, and cloud computing has positively impacted application of AMRs.
Challenge: Integrating AMRs into existing workflows and systems
Many industries already have established processes, infrastructure, and legacy systems in place. Integrating autonomous mobile robots (AMRs) with existing systems poses challenges such as compatibility issues, data integration complexities, system scalability, system complexity, customization/configuration requirements, security and privacy concerns, and the need for user training and adoption.
Integrating autonomous mobile robots (AMRs) into various industries poses challenges as they need to coordinate seamlessly with existing systems. In warehouse and logistics operations, AMRs must establish communication with WMS and ERP systems, encountering hurdles such as different protocols and real-time synchronization.
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