The simultaneous localization and mapping (SLAM) technology market is expected to witness a significant growth in the forecast period 2020-2030, primarily due to an increase in the demand for autonomous robotic and drone systems used in the commercial sector. The scope of study majorly focuses on the SLAM technology in which is used among robots, UAVs, augmented reality, and autonomous vehicles.
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Various media houses and conferences have been talking and showing interest in the field of robotics and automations for more than 20 years. Advancements in upcoming technologies such as robotics, artificial intelligence, drones, and augmented reality are assisting in a new age of automation, which enables devices such as robots and drones to perform a range of work activities without human intervention. Robots are becoming increasingly capable of accomplishing activities that include cognitive capabilities, sensing emotion, making tactical judgments, and even driving activities that were earlier considered to be difficult to automate successfully. Robots can be trained by workers to perform tasks that were previously viewed to be significantly tough for machines.
Moreover, at present, robots can perform complex tasks such as preparing food and dispensing drugs in hospital pharmacies. Thus, the demand for developing autonomous robots has increased significantly in which robots can navigate themselves easily in indoor environment. Localization and mapping are an essential problem for any robot navigating in unpredictable environments. Therefore, any robot which moves autonomously in a space must solve the problem of localization to know its current position in its surroundings. The SLAM technology is used in robots which are used for movement within a controlled environment.
Similarly, for drones and UAVs, there is an increasing demand for developing autonomous drones from commercial end users, in which drones can fly on its own and can detect and avoid inflight obstacles during the flight. The development of this type of technology can be possible with the use of 3D SLAM algorithm and solutions for increasing the level of autonomy for drones. The higher level of autonomy for drones helps in decreasing accidents pertaining to drones in case of loss of connection with the remote pilot.
The concept of the SLAM technology was first proposed by Smith and Cheeseman in 1986 in a research paper. After that, several researches and advancement has been done to refine the SLAM technology on various fronts. In 2001, a ground-breaking development happened in the field of SLAM technology, which showcased that SLAM could be successfully implemented using merely a single camera.
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The key companies are seeing opportunities for the SLAM technology in the field of robots, UAVs, augmented reality, and autonomous vehicles. Furthermore, the individual markets of these technologies are projected to grow with double-digit CAGRs in the upcoming years. There has been a rise in the demand for these platforms, along with which the market penetration of the SLAM technology across these platforms has also increased significantly. The rise in the market penetration of the SLAM technology is substantially attributed to the advantages offered by this technology.
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