Blog

According to the latest market research study published by P&S Intelligence, the global simultaneous localization and mapping technology market generated USD 311.3 million in revenue in 2024 and is projected to expand at a robust CAGR of 42.4% during 2024–2030. This exceptional growth outlook reflects the rising penetration of autonomous systems across industries, supported by the rapid evolution of robotics, augmented reality (AR), and unmanned aerial vehicles (UAVs). As industries increasingly seek automation and precision, SLAM technology has become a foundational component for enabling machines to perceive, map, and navigate their environments independently.

A major growth catalyst is the accelerating adoption of industrial robots in manufacturing and automotive sectors, where SLAM plays a critical role in navigation and operational efficiency. According to the International Federation of Robotics, 553,052 new industrial robots were installed globally in 2022, marking a year-on-year growth of 5%. Asia accounted for 73% of these installations, followed by Europe at 15% and the Americas at 10%, highlighting the global momentum toward automation-driven productivity gains.

Technological advancements, particularly in visual SLAM, are further shaping market expansion. Improvements in computing power and the availability of cost-effective sensors such as cameras and laser rangefinders have broadened SLAM applications from AR experiences to field robotics. At the same time, the emergence of autonomous vehicles—equipped with sensors, radar, inertial navigation systems, and SLAM software—is reinforcing demand, as these vehicles promise safer mobility, reduced fuel consumption, and lower CO₂ emissions.

Key Insights

• The two-dimensional (2D) SLAM segment accounted for approximately 60% of the market share in 2024, driven by its widespread use in industrial and residential robots for efficient location mapping using red–green–blue-depth (RGB-D) data from Kinect sensors.
• Three-dimensional (3D) SLAM is the faster-growing offering category, benefiting from rising demand for advanced spatial awareness in autonomous vehicles, UAVs, and AR/VR applications.
• Among algorithm types, the extended Kalman filter (EKF) holds the largest market share due to its consistent performance over extended periods and lower algorithmic complexity compared to alternative approaches.
• Fast SLAM is expected to be the fastest-growing algorithm type, as industries seek quicker data processing and real-time mapping capabilities in dynamic operational environments.
• Robotics represents the largest application segment, reflecting the growing deployment of autonomous and semi-autonomous robots across manufacturing, logistics, and service industries.
• The UAV application segment is projected to witness the fastest growth, supported by increasing usage in surveillance, reconnaissance, intruder detection, and location mapping across both commercial and defense sectors.
• In terms of end users, the military segment is both the largest and fastest-growing, advancing at a CAGR of 42.8%, driven by the need to reduce human exposure in hazardous environments and enhance soldier safety.
• North America accounted for around 40% of the global SLAM technology market in 2024, supported by high IT spending, early adoption of emerging technologies, and a strong manufacturing base.
• Asia-Pacific is expected to register the fastest regional growth, fueled by expanding manufacturing facilities, rising robot adoption in China and India, increasing IT investments, and growing use of drones in automotive and industrial applications.
• Europe maintains a significant market share due to rapid digitalization, a strong automotive industry, and increasing deployment of UAVs across military, civil, and commercial applications.
• The global SLAM technology market is highly fragmented, with numerous local and international players pursuing strategies such as product launches, partnerships, and acquisitions to strengthen their market positions.
• Key companies operating in the market include Intel Corporation, Alphabet Inc., Apple Inc., Microsoft Corporation, Clearpath Robotics Inc., NavVis GmbH, Parrot Drones SAS, and Meta Platforms Inc., among others.