New York, United States, Jan. 18, 2023 (GLOBE NEWSWIRE) -- Computer vision systems use SLAM, a type of technology, to gather visual data from the outside world using a variety of built-in sensors. SLAM technology transforms this data into a different format, making it easier for machines to understand and interpret using visual cues. Indoor devices had difficulty locating themselves in their surroundings and comprehending the map of their operating environment before the development of SLAM technology.
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Increasing Use of SLAM Technology in Augmented Reality Applications (AR) Drives the Global Market
The development of SLAM technology has proven to be a game-changer in augmented reality. The many advantages of SLAM, such as improved accuracy and efficiency, are gradually displacing marker-based technology. In marker-based technology, a defined image needs to be placed in front of the device's camera to experience augmented reality. The biggest challenge with marker-based AR was creating an image to experience augmented reality. This problem has been resolved because SLAM-based AR uses sensors to detect the physical environment precisely. As a result, SLAM technology is now being used by AR companies, which is expected to support the growth of their demand over the forecast period.
Introduction of Autonomous Vehicles Creates Tremendous Opportunities
Autonomous vehicles and self-driving cars are the future of transportation. These vehicles move with minor assistance while sensing their immediate environment. Several major global automakers, including Tesla, Google, Uber, Mercedes-Benz, General Motors, Continental Automotive Systems, Autoliv Inc., Bosch, Nissan, Toyota, Audi, and Volvo, are working to develop autonomous vehicles. SLAM technology is used by Google's Waymo self-driving car program to enable independent movement. Using information from LiDAR and other sensors, this technology creates a map of the area around the car as it travels. The SLAM technology in self-driving vehicles enhances autonomy and reduces the likelihood of error, improving accuracy and overall performance. As a result, there will be better opportunities in the global SLAM technology market during the forecast period.
Report Scope
| Report Metric | Details |
| Market Size | USD 9.42 Billion by 2031 |
| CAGR | 49.41% (2023-2031) |
| Historical Data | 2020-2021 |
| Base Year | 2022 |
| Forecast Period | 2023-2031 |
| Forecast Units | Value (USD Billion) |
| Report Coverage | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| Segments Covered | Source, End-Product, End-Use, Variety, Region |
| Geographies Covered | North America, Europe, Asia-Pacific, LAME and Rest of the World |
| Key Companies Profiled/Vendors | Aethon, Amazon Robotics, Apple Inc, Ascending Technologies GmbH, Clearpath Robotics, Facebook, Google, Intel Corporation, Magic Leap, Microsoft Corporation, NavVis, Parrot SA, Wikitude GmbH, Optech Inc., Quanergy Systems, Innoviz Technologies, Leica Geosystems, GeoSLAM Limited, iRobot Corporation, Riegl Laser Measurement Systems, Geokno, Phoenix LiDAR Systems, and Velodyne Lidar. |
| Key Market Opportunities | Growing Demand for Autonomous Drones for BVLOS Operations |
| Key Market Drivers | Growing Applications of SLAM Technology in Augmented Reality (AR) Increasing Demand for Service Robots in Domestic Use |
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Regional Analysis
Europe is the largest shareholder in the global simultaneous localization and mapping (SLAM) technology market and is expected to grow at a CAGR of 48.96% during the forecast period. Germany, one of the top countries in Europe, has made significant investments to advance SLAM technology for various applications. In Germany, much research is being done on robots and uncrewed aerial vehicles (UAVs) for potential SLAM applications. In all of Europe, Germany currently commands the highest market share for SLAM technology. By 2030, it is anticipated to still be in the lead, with France, Germany, the United Kingdom, and the rest of Europe following.
North America is expected to grow at a CAGR of 47.62%, generating USD 2,727.4 million during the forecast period. In North America, there are many startups and expanding businesses in robotics, drones, and augmented reality. The SLAM technology is used in North America for various domestic, commercial, military, and logistical applications. One of the main factors driving the demand for SLAM technology among regional commercial end users is the demand for industrial and logistics robots across various industries.
Asia-Pacific is one of the most profitable markets in the world (APAC). In the Asia-Pacific region, capital expenditures for industrial automation are rapidly increasing. The Asia-Pacific region's leading contributors to the growth of the robotics industry are China, Japan, India, and South Korea. There are many opportunities for new entrants in this field as the demand for SLAM-based robots, UAVs, and augmented reality platforms grows for commercial and non-commercial applications. Additionally, several countries in the Asia Pacific region are actively conducting research into SLAM-based autonomous vehicle technologies.
Key Highlights
- The global simultaneous localization and mapping (SLAM) technology market is expected to reach USD 9,425.7 million by 2030, growing at a CAGR of 49.41% during the forecast period (2022–2030).
- Based on the mapping, the global simultaneous localization & mapping technology market is bifurcated into 2D SLAM and 3D SLAM. The 2D SLAM segment is the highest contributor to the market and is expected to grow at a CAGR of 46.79% during the forecast period.
- Based on the type, the global simultaneous localization and mapping technology market is bifurcated into extended Kalman filter (EKF), graph-based SLAM, and fast SLAM. The Kalman filter segment is the highest contributor to the market and is expected to grow at a CAGR of 46.41% during the forecast period.
- Based on the platform, the global simultaneous localization and mapping technology market is bifurcated into robots, UAVs, augmented reality, and autonomous vehicles. The robots segment owns the highest market share and is expected to grow at a CAGR of 35.50% during the forecast period.
- Based on the end-user, the global simultaneous localization and mapping technology market is bifurcated into manufacturing and logistics, commercial, household and military. The manufacturing and logistics segment is the highest contributor to the market and is expected to grow at a CAGR of 34.20% during the forecast period.
- Europe is the largest shareholder in the global simultaneous localization and mapping (SLAM) technology market and is expected to grow at a CAGR of 48.96% during the forecast period.
Competitive Players
The global simultaneous localization and mapping (SLAM) technology market’s major key players are
- Aethon Inc
- Amazon Robotics LLC
- Apple Inc
- Ascending Technologies GmbH
- Clearpath Robotics Inc
- DIBOTICS
- Fetch Robotics, Inc
- GeoSLAM, Gestalt Robotics GmbH
- Google LLC (Alphabet Inc.)
- KUKA AG
- Locus Robotics
- Mobile Industrial Robots ApS
- Navvis
- Omron Adept
- Parrot SA
- SLAMcore Limited
- SMP Robotics
- The Hi-Tech Robotic Systemz
- Vision Robotics Corporation, and Wikitude GmbH.
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Global Simultaneous Localization and Mapping (SLAM) Technology Market: Segmentation
By Mapping
- 2D SLAM
- 3D SLAM
By Types
- Extended Kalman Filter (EKF)
- Graph-Based SLAM
- Fast SLAM
- Others
By Platform
- Robots
- UAVs
- Augmented Reality
- Autonomous Vehicles
By End-User
- Manufacturing and Logistics
- Commercial
- Household
- Military
By Regions
- North America
- Europe
- Asia-Pacific
- Rest of the World
TABLE OF CONTENT
- Introduction
- Market Definition
- Market Scope
- Research Methodology
- Primary Research
- Research Methodology
- Assumptions & Exclusions
- Secondary Data Sources
- Market Overview
- Report Segmentation & Scope
- Value Chain Analysis: Simultaneous Localization and Mapping (SLAM) Technology Market
- Key Market Trends
- Drivers
- Restraints
- Opportunities
- Porter’s Five Forces Analysis
- Bargaining Power of Suppliers
- Bargaining Power of Buyers
- Threat of Substitution
- Threat of New Entrants
- Competitive Rivalry
- Market Share Analysis
- Type Overview
- Introduction
- Market Size & Forecast
- Extended Kalman Filter (EKF)
- Market Size & Forecast
- Graph-Based SLAM
- Market Size & Forecast
- Introduction
- Platform Overview
- Introduction
- Market Size & Forecast
- Robots
- Market Size & Forecast
- UAVs
- Market Size & Forecast
- Introduction
- Regional Overview
- Introduction
- Market Size & Forecast
- America
- North America
- U.S.
- By Type
- By Platform
- Canada
- By Type
- By Platform
- Mexico
- By Type
- By Platform
- Latin America
- By Type
- By Platform
- Europe
- Market Size & Forecast
- Germany
- By Type
- By Platform
- France
- By Type
- By Platform
- U.K.
- By Type
- By Platform
- Italy
- By Type
- By Platform
- Spain
- By Type
- By Platform
- Rest of Europe
- By Type
- By Platform
- Asia Pacific
- Market Size & Forecast
- Japan
- By Type
- By Platform
- China
- By Type
- By Platform
- Australia
- By Type
- By Platform
- India
- By Type
- By Platform
- South Korea
- By Type
- By Platform
- Rest of Asia-Pacific
- By Type
- By Platform
- Middle East & Africa
- Market Size & Forecast
- Saudi Arabia
- By Type
- By Platform
- South Africa
- By Type
- By Platform
- Kuwait
- By Type
- By Platform
- Rest of Middle East & Africa
- By Type
- By Platform
- Introduction
- Company Profile
- Aethon Inc.
- Company Overview
- Financial Performance
- Recent Developments
- Product Portfolio
- Amazon Robotics LLC
- Company Overview
- Financial Performance
- Recent Developments
- Product Portfolio
- Apple Inc.
- Company Overview
- Financial Performance
- Recent Developments
- Product Portfolio
- Aethon Inc.
- Conclusion & Recommendation
- Acronyms & Abbreviations
Table of Content and Figure @ https://straitsresearch.com/report/slam-technology-market/toc
Market News
- In July 2022, MIR and MODULA worked together to advance warehouse automation, providing a completely autonomous solution for material handling, storage, and picking.
- In August 2022, Proteus, the company's first autonomous mobile robot (AMR), was introduced by Amazon Robotics. It performs similar tasks to the Kiva robots, but instead of being caged off areas, it can work freely around Amazon employees.
News Media
SLAM Technology: How Companies are Using It in AR
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