- EKF SLAM
- Fast SLAM
- Graph-Based SLAM
Simultaneous Localization And Mapping Market was valued at USD 174.2 million in 2022 and is poised to grow at a CAGR of 41.2% from 2023-2029. Some of the key factors propelling the market growth include rise in the acceptance of simultaneous localization and mapping in UAV, robot, and augmented reality applications, growing adoption of automation across industries in emerging countries, advancements in visual SLAM algorithm and proliferation of cloud-based visual SLAM for outdoor applications. However, factors such as limitation of SLAM in dynamic environments and incorrect initialization and loop closure can significantly alter SLAM accuracy are hampering the market growth.
Fastest Growing Market
Simultaneous Localization and Mapping (SLAM) consists in the concurrent construction of a model of the environment (the map), and the estimation of the state of the robot moving within it. The SLAM community has made astonishing progress over the last 30 years, enabling large-scale real-world applications, and witnessing a steady transition of this technology to industry Simultaneous Localization and Mapping (SLAM) refers to the problem of using various sensors like laser scanner, RGB cameras, RGB-D cameras, etc, to estimate the position of the robot, and concurrently construct the 2D/3D map of the environment. In order to establish the position of a robot, a vehicle, or a moving camera in an environment, and at the same time, construct a representation of the explored zone. SLAM is an essential task for the autonomy of a robot. The computer vision techniques employed in visual SLAM, such as detection, description and matching of salient features, image recognition and retrieval, among others, are still susceptible of improvement.
Asia Pacific is the fastest-growing for simultaneous localization and mapping market
The simultaneous localization and mapping market size was valued at USD 174.2 million in 2022
The simultaneous localization and mapping market key players are: Intel (US), Microsoft (US), Alphabet (US), Amazon Robotics (US), Apple (US)
Table of Content
16. Key Assumptions and Acronyms