The North America SLAM technology market is expected to register a CAGR of 39.31% during the forecast period, 2022-2030, and is predicted to garner a revenue of $1068.26 million by 2030.

The simultaneous localization and mapping technology (SLAM) market growth in North America is propelled by expansions of existing firms and the emergence of augmented reality (AR), drones, and robotics companies. Also, the SLAM technology has varied applications in the region, including military, logistics & manufacturing, household, and commercial.

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The North America SLAM technology market growth evaluation includes the analysis of Canada and the United States. In the United States, SLAM technology has had potential applications in several non-commercial and commercial sectors in recent years. Also, the country is a major hub for renowned automotive OEMs like Tesla, General Motors, and Ford with regard to the autonomous vehicles market. In addition, lucrative economic aspects have resulted in increased disposable incomes, thereby facilitating the demand for enhanced performance of vehicles. As a result, companies are using SLAM technology in autonomous vehicles.

Further, a number of companies in the robotics sector, including iRobot and Misty Robotics, are incorporating SLAM technology in cleaning robots for the localization and mapping of the environment. Also, the US is among the largest exporters of the products that use SLAM technology, given the robust presence of prominent and established players.

Besides, the country provides significant market space for commercial SLAM technology developers, supplementing the increasing presence of manufacturers. This has further resulted in high competitive rivalry and increased technological advancements. For instance, ModalAI Inc launched the new autopilot in VOXL 2 in April 2022. It equips communications and autonomy for outdoor and indoor robots and drones with vision-based SLAM and AI for movement.

The segmentation analysis of the North America SLAM technology market includes type, mapping, and application. The type segment includes fastSLAM, graph-based SLAM, Extended Kalman Filter (EKF), and other types.

Extended Kalman Filter (EKF) is evaluated as one of the solutions for the online SLAM problem. The current position of the robot in an online SLAM problem is estimated without assessing the complete trajectory path. In this approach, the landmarks are tracked down using the help of embarked sensors of the robots. EKF SLAM has been in use for over 20 years and is still implemented in applications like autonomous cars and robot mapping.

In graph-based SLAM, a graph is constructed, wherein the nodes represent robot landmarks and poses while the edge denotes constraints between the poses. Upon the development of such a graph, the map computation starts by assessing the spatial configuration of the nodes. Moreover, the graph optimization process starts, wherein a new map is formed by correcting the nodes’ information.

Some of the prominent companies operating in the North America SLAM technology market include Amazon Robotics Llc, Intel Corporation, GeoSLAM, Fetch Robotics Inc, Google Llc, etc.

Amazon Robotics designs, manufactures, and tests mechatronic systems and robots. The company specializes in robotic management software, artificial intelligence and machine learning, autonomous movement and mobility, predictive analytics, etc. It is a leading company with regard to the deployment of industrial robots for carrying out time-consuming warehouse and logistics operations. It is headquartered in Massachusetts, the United States.

Its Astro Household Robot is designed for home monitoring and pairs with a ring alarm system.

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