Simultaneous Localization and Mapping (SLAM) Technology Market Research Report: By Offering (Two-Dimensional, Three-Dimensional), Type (Extended Kalman Filter, Fast, Graph-Based), Application (Robotics, Unmanned Aerial Vehicle, AR/VR, Autonomous Vehicle), End User (Commercial, Military, Agriculture & Forestry, Mining, Automotive, Manufacturing & Logistics, Household Appliance) - Industry Trends and Demand Forecast to 2030

Market Overview

The global SLAM technology market generated an estimated revenue of $157.5 million in 2021, and it is expected to grow at a CAGR of 42.2% during 2021–2030. The key factors responsible for the growth of the market include the emergence of autonomous vehicles, increasing number of augmented reality (AR) applications, and booming adoption of unmanned aerial vehicles (UAVs).

The COVID-19 pandemic had a negative impact on the simultaneous localization and mapping technology market as the manufacturing of SLAM-based robots and UAVs halted for a few months as per the guidelines issued by several governments. However, the market is now witnessing growth with companies across industries reinvesting in UAVs and industrial robots to boost productivity and efficiency.

2D and EKF Categories Dominate Market

The 2D category accounted for the larger share in the market in 2021, based on offering. The usage of the 2D technology for location mapping in industrial and residential robots is increasing as it is based on red–green–blue-depth (RGB-D) mapping, which enables robots to use RGB and depth data from Kinect sensors for efficient location mapping.

The extended Kalman filter (EKF) category held the largest share in the market in 2021, based on type. This is majorly attributed to the extensive use of EKF over other algorithms as it exhibits consistent behavior in terms of state variables over an extended period. Moreover, EKF has a lower algorithm complexity than others, which is further driving its adoption.

UAV and Military Categories To Witness Highest Growth Rates

The UAV category is projected to record the fastest growth during the forecast period (2022–2030), based on application. This can be ascribed to the increasing use of UAVs across all industries. SLAM technology is required in UAVs for various purposes, including location mapping, reconnaissance, surveillance, and intruder detection.

The military category is projected to witness the fastest growth during the forecast period, based on end user. This can be attributed to the strong need for reducing the human presence in hazardous locations and increasing the safety of soldiers.

Asia-Pacific Market To Witness Fastest Growth in Coming Years

Geographically, the APAC market is expected to register the fastest growth during the forecast period. Countries such as China and India are witnessing a substantial increase in the usage of robots owing to the rapid economic growth and expansion of manufacturing facilities. Additionally, the growing IT spending and rising adoption of drones by the automotive and manufacturing industries are fueling the market growth in the region.

Advancement in Visual SLAM Is Key Market Trend

Advancement in visual SLAM is a key trend in the global SLAM technology market. Visual SLAM is quickly becoming an important development in embedded vision, with several applications. It is a specific type of SLAM system that leverages 3D vision to perform location and mapping functions. With the significant improvements in the computer processing speed and the availability of low-cost sensors, such as cameras and laser rangefinders, this technology is being used in a wide range of applications from AR to field robots.

Emergence of Autonomous Vehicles and Increasing Number of AR Applications Are Driving Market Growth

The emergence of autonomous vehicles is one of the key factors supporting the growth of the global SLAM technology market. The developments in connected vehicle technology and the rise in the need for safe, productive, and efficient driving options are raising the demand for autonomous vehicles. These vehicles offer reduced CO2 emissions and consume less fuel, which is further increasing their popularity among the populace. These vehicles are equipped with an inertial navigation system, a range of sensors, a laser rangefinder, the SLAM technology, and a radar, which make them capable of sensing their environment and navigating. As the demand for autonomous vehicles rises, the adoption of SLAM technology will increase in the automotive industry.

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Market Players Involved in Collaborations and Acquisitions to Gain Competitive Edge

The SLAM technology market is competitive due to the presence of several key players. In recent years, they have been involved in collaborations and acquisitions in order to attain a significant position. For instance:

• In May 2021, Intel Corporation, one of the largest technology companies, announced its collaboration with Semtech, a semiconductor hardware and software developer, to create optical semiconductor platforms for LiDAR. As per the agreement, Semtech’s laser drivers and programmable trans-impedance amplifiers are being integrated into Intel's RealSense LiDAR Camera L515, thus allowing for the development of power-efficient, high-resolution consumer LiDAR.
• In February 2020, Facebook Inc. acquired Scape Technologies, a U.K.-based visual positioning service provider, for an undisclosed amount. With this acquisition, the former aimed to bring more value to its next-generation platforms, including virtual reality (VR) and AR.

Key Players in Global SLAM Technology Market Are:

• Intel Corporation
• Alphabet Inc.
• Apple Inc.
• Microsoft Corporation
• Clearpath Robotics Inc.
• NavVis GmbH
• Parrot Drones SAS
• Rethink Robotics GmbH
• MAXST Co. Ltd.
• Hi-Tech Robotic Systemz Limited
• Aethon Inc.

Market Size Breakdown by Segments

The SLAM technology market report offers comprehensive market segmentation analysis along with market estimation for the period 2017–2030.

Based on Offering

• Two-Dimensional (2D)
• Three-Dimensional (3D)

Based on Type

• Extended Kalman Filter (EKF)
• Fast
• Graph-Based

Based on Application

• Robotics
• Unmanned Aerial Vehicle (UAV)
• Augmented Reality (AR)/Virtual Reality (VR)
• Autonomous Vehicle

Based on End User

• Commercial
• Military
• Agriculture & Forestry
• Mining
• Automotive
• Manufacturing & Logistics
• Household Appliance

Geographical Analysis

• North America
  • U.S.
  • Canada
• Europe
  • Germany
  • France
  • U.K.
  • Italy
  • Spain
• Asia-Pacific (APAC)
  •  Japan
  • China
  • India
  • Australia
  • South Korea
• Latin America (LATAM)
  • Brazil
  • Mexico
• Middle East & Africa (MEA)
  • Turkey
  • Saudi Arabia
  • U.A.E.
  • South Africa