RoboInd market brief: Mobile Robots Market is drawing attention as manufacturers and technology users invest in automation, productivity and more intelligent operations. Share
Market snapshot
What is changing
Share
Applications and segments
title_en: By Automation Level; body_en: Fully autonomous; Semi-autonomous; Manual (Remotely Operated Vehicle); items_en: Fully autonomous; Semi-autonomous; Manual (Remotely Operated Vehicle); title_en: By Payload Capacity; body_en: 50 kg; 50–500 kg; 500–1000 kg; >1000 kg; items_en: 50 kg; 50–500 kg; 500–1000 kg; >1000 kg; title_en: By End Use; body_en: Residential/domestic; Commercial places; Industrial; items_en: Residential/domestic; Commercial places; Industrial
Regional direction
title_en: Mobile Robots Market Analysis; body_en: Based on automation level, the market is divided into fully autonomous, semi-autonomous, and manual (remotely operated vehicle). The market for fully autonomous mobile robots was valued at USD 9 billion in 2024. Fully autonomous mobile robots (AMRs) dominate the market, leveraging AI and machine learning for real-time decision-making without human intervention. These robots excel in dynamic environments like e-commerce warehouses and hospitals, where they navigate complex spaces using advanced sensors and SLAM (Simultaneous Localization and Mapping) technology. The shift toward lights-out.
Competitive landscape
Public market coverage identifies participants including ABB, KUKA AG, Teradyne Inc, Geek+, Hikrobot Co, Ltd. These names indicate activity across the value chain and should not be read as a uniform ranking.
Market outlook
Growth will depend on the conversion of technical capability into repeatable deployments, measurable productivity gains and maintainable operating economics. Buyers are likely to weigh integration, workforce readiness, interoperability and lifecycle support alongside equipment performance.
Market reading: Figures are presented within their stated market definition and forecast window. They should not be combined with figures from other definitions without normalization.