SLAM (Simultaneous Localization and Mapping): Use Cases and Market Opportunities Image

SLAM (Simultaneous Localization and Mapping): Use Cases and Market Opportunities

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This report analyzes the market opportunities, drivers, and obstacles for Simultaneous Localization and Mapping (SLAM), which is a technique that allows devices to map an unknown environment at the same time as they locate themselves in it. For that, the report investigates the fundamentals of the different technologies used for SLAM, namely Visual SLAM, LiDAR, radar, sonar, and RF SLAM. Combinations of such technologies, i.e. sensor fusion, are also discussed. Since each SLAM technology possesses a different set of advantages and shortcomings, the report discusses the potential for adoption in each vertical where SLAM might bring benefits to users:

  • Smartphone-Based Augmented and Virtual Reality
  • Head-Mounted Display-Based Augmented and Virtual Reality
  • Autonomous Vehicles
  • Autonomous Mobile Robots and Automated Guided Vehicles
  • Commercial Drones
  • Household Devices
  • Surveying

Based on the discussed advantages, costs, and competition with other location technologies, market forecasts are given for each of the aforementioned verticals, along with recommendations based on identified trends.

Table of Contents

  • 1. EXECUTIVE SUMMARY
  • 2. CONTEXTUALIZING SLAM IN THE WIDER LOCATION-BASED SERVICES MARKET
    • 2.1. Key Drivers
    • 2.2. Opportunities and Challenges
    • 2.3. Industry Forces Behind SLAM
  • 3. HARDWARE TECHNOLOGIES ENABLING SLAM
    • 3.1. Visual SLAM
    • 3.2. LiDAR
    • 3.3. Radar and Sonar
    • 3.4. RF SLAM
    • 3.5. Comparison of SLAM Technologies
    • 3.6. The Role of Complementary Technologies
  • 4. SLAM USE CASES AND MARKET VERTICALS
    • 4.1. Augmented and Virtual Reality
    • 4.2. Robotics
    • 4.3. Surveying
  • 5. MARKET OPPORTUNITIES AND FORECASTS
    • 5.1. Augmented and Mixed Reality
    • 5.2. Robotics
    • 5.3. Surveying
    • 5.4. General SLAM Trends
  • 6. SLAM VENDORS
    • 6.1. Kudan
    • 6.2. Paracosm
    • 6.3. Accuware
    • 6.4. Indoo.rs
    • 6.5. Intermodalics
    • 6.6. PerceptIn
    • 6.7. Wikitude
  • 7. CONCLUSION