Simultaneous Localization And Mapping Market Analysis, Segments, Top Key Players, Drivers And Trends 2022

Precision Business Insights published a research report on “Simultaneous Localization and Mapping Market By Type (EKF SLAM, Fast SLAM, Graph-Based SLAM and Others), By Offering (2D SLAM and 3D SLAM), By Application (Robotics, UAV, AR/VR, Automotive and Others) - Global/Region/Country Forecast to 2028”.

Simultaneous localization and mapping (SLAM) is the technique of building a map while navigating the environment with the help of an autonomous vehicle or a robot. A system used during robotic cartography and robot mapping is simultaneous localization and mapping. To navigate, this mechanism employs a complicated set of computations, algorithms, and sensory inputs. It enables the production of geographic information system (GIS) data from a distance in situations where humans are unable to map the environment. Simultaneous localization and mapping seems to be a computational challenge encountered during map generation or upgrade of an undetermined environment by simultaneously tracking needed position (SLAM).

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The adoption of simultaneous localization and mapping in UAVs, robots, and augmented reality applications is a driving force for the global simultaneous localization and mapping (SLAM) market. Accuracy has improved greatly because to simultaneous localization and mapping technology. Due to its higher precision and low hardware requirements, adoption for simultaneous localization and mapping (SLAM) technology is expected to increase during the projection period. Furthermore, a surge in automation use across industries in emerging countries is expected to boost market growth. Simultaneous localization and mapping (SLAM) technology is based on the static world assumption of confining the sensor and creating an environment map. Nothing in the scene is changing in relation to the mapped environment. If the environment changes, the SLAM system may become disoriented, as its location in relation to the static map it created loses relevance. In the next years, this is expected to restrict the market. The application of simultaneous localization and mapping (SLAM) technology to unmanned aerial vehicles is likely to gain pace and generate major opportunities in the future years.

In terms of type, the simultaneous localization and mapping market is categorized into EKF SLAM, fast SLAM, graph-based, SLAM and others. In terms of offering, the simultaneous localization and mapping market is bifurcated into 2D SLAM and 3D SLAM. The simultaneous localization and mapping market is also divided on the basis of application into UAV, AR/VR, robotics, automotive and others.

North America dominates the simultaneous localization and mapping market due to rising SLAM adoption for automation, escalating UAV applications, and the US's growing well-established economy, which allows for new technology investments and the rise of new digital technologies such as automation and artificial intelligence in this region. Due to the increasing emergence of new digital technologies also including automation and artificial intelligence, increasing demand for service robots for domestic applications, and the rise of new digital technologies such as automation and artificial intelligence in this region, Asia-Pacific is expected to be the fastest-growing region in terms of simultaneous localization and mapping market growth.

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Some of the major key players in the Simultaneous Localization And Mapping Market are Intel (US) Microsoft (US) Alphabet (US) Amazon Robotics (US) Apple (US) Clearpath Robotics (Canada) Aethon (US) The Hi-Tech Robotic Systemz (India) Facebook (US) Intellias (Ukraine) Magic Leap (US) Rethink Robotics (US) Skydio (US) NavVis (Germany) MAXST (South Korea) Mobile Industrial Robots ApS (Denmark)

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