Simultaneous localization and mapping (SLAM) is the process of creating a map with the help of an unmanned vehicle or a robot that navigates the environment. Simultaneous localization and mapping is a system used in robotic cartography or robot mapping. This process uses a complex array of computations, algorithms, and sensory inputs to navigate. It allows the remote creation of geographic information system (GIS) data in circumstances where the surroundings are dangerous for humans to map.
A driving factor for the global simultaneous localization and mapping (SLAM) market is rise in the adoption simultaneous localization and mapping in UAV, robots, and augmented reality applications. With the help of simultaneous localization and mapping technology, accuracy has improved significantly. The demand for simultaneous localization and mapping (SLAM) technology is projected to rise during the forecast period, due to its superior accuracy and negligible hardware requirement. Moreover, an increase in the adoption of automation across industries in emerging countries is likely to further fuel market growth. Simultaneous localization and mapping (SLAM) technology depends on the static world assumption of restricting the sensor and constructing a map of the environment. This means that nothing in the scene is moving concerning the mapped environment. If the environment changes, the SLAM system can become lost as its location relative to the static map it has built becomes meaningless. This is likely to hamper the market in the coming years. The unmanned aerial vehicle application of the simultaneous localization and mapping (SLAM) technology is expected to gain traction and is estimated to create significant opportunities in the coming years.
The global simultaneous localization and mapping market can be segmented based on technique, type, motion, platform, application, and geography. Based on technique, the simultaneous localization and mapping market can be classified into topological SLAM, EKF SLAM, fast SLAM, graph-based SLAM, scan matching, approximation, and others. In terms of type, the simultaneous localization and mapping (SLAM) market can be divided full SLAM, online SLAM, and integrations (marginalization). Based on motion, the simultaneous localization and mapping market can be classified into 2D and 3D motion. In terms of platform, the simultaneous localization and mapping market can be categorized into robot, autonomous vehicle, reef monitoring, planetary rovers, unmanned aerial vehicle, and others. Based on application, the simultaneous localization and mapping market can be categorized into government, military, defense, automotive, manufacturing, logistics, and others.
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