Pre-order Enquiry
Request Free Sample
Healthcare
Aerospace & Defence
Agriculture
Automations
Chemicals & Advanced Materials
Food & Beverages
Information & Communication Technology
Oil & Gas
Power & Energy
SLAM is a technology used in computer vision technologies which gets the visual/laser sensor data from the physical world in shape of points to make an understanding for the machine.
SLAM (Simultaneous Localization and Mapping) technology is often compared to GPS technology, or it can be said that SLAM technology is a supplement to GPS technology. In a room, or a table, or a small intersection, GPS technology usually has accuracy down to a meter, but cannot reach to the centimeter or millimeter.
SLAM Technology market now has nearly 100 players, most of them are located in USA, EU and China. Because Google, Apple and Facebook do not provide products that mainly take the tech of SLAM, and some of them are open sourced or not on a commercial scale.
Europe is the largest region of SLAM Technology in the world in the past few years and it will keep increasing in the next few years. Europe market took up about 42% the global market in 2018, while USA and China were about 30%, 8%.
Market Analysis and Insights: Global SLAM Technology Market
The global SLAM Technology market size is projected to reach US$ 3157.7 million by 2027, from US$ 225.5 million in 2020, at a CAGR of 44.3% during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global SLAM Technology market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global SLAM Technology market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global SLAM Technology market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global SLAM Technology market.
Global SLAM Technology Scope and Market Size
SLAM Technology market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global SLAM Technology market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.
Segment by Type
Visual SLAM
Laser SLAM
The eye is the main source of human access to outside information. Visual SLAM also has similar features, it can obtain massive, redundant texture information from the environment, with superior scene recognition capabilities. The early visual SLAM was based on the filtering theory, and its nonlinear error model and huge computational complexity became its practical obstacles. In recent years, with the sparse nonlinear optimization theory (Bundle Adjustment) and the advancement of camera technology and computing performance, real-time running visual SLAM is no longer a dream.
Laser SLAM uses 2D or 3D laser radar (also called single or multi-line laser radar), 2D laser radar is generally used for indoor robots (such as sweeping robots), and 3D laser radar is generally used in the field of unmanned driving. The emergence and popularity of lidar makes measurement faster and more accurate, and information is more abundant. The object information collected by the laser radar presents a series of scattered points with accurate angle and distance information, which is called a point cloud. Generally, the laser SLAM system calculates the distance and attitude of the relative motion of the lidar by matching and comparing two point clouds at different times, thus completing the positioning of the robot itself.
Segment by Application
Robot
Unmanned Aerial Vehicle (UAV)
Augmented Reality (AR)
Autonomous Vehicles
Unmanned aerial vehicle (UAV), commonly known as drone, is a type of aircraft that operates without a human pilot onboard. Its flight is controlled either autonomously by onboard computers or by the remote control of a pilot on the ground or in another vehicle. It is widely used in aerial entertainment, geological prospecting, agricultural field etc.
Augmented Reality (AR) includes AR area, mapping tool or mapper.
Autonomous Vehicles includes automated guided vehicle (AGV), autonomous intelligent vehicles (AIVs) and self-driving car.
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
By Company
Google
Apple ARKit
Facebook
Aethon
Clearpath Robotics
Locus Robotics
Amazon Robotics
Parrot SA
NavVis
GeoSLAM
Ascending Technologies
SLAMcore
KUKA AG
Gestalt Robotics
Omron Adept Technologies
Shanghai Slamtec
SLAM (Simultaneous Localization and Mapping) technology is often compared to GPS technology, or it can be said that SLAM technology is a supplement to GPS technology. In a room, or a table, or a small intersection, GPS technology usually has accuracy down to a meter, but cannot reach to the centimeter or millimeter.
SLAM Technology market now has nearly 100 players, most of them are located in USA, EU and China. Because Google, Apple and Facebook do not provide products that mainly take the tech of SLAM, and some of them are open sourced or not on a commercial scale.
Europe is the largest region of SLAM Technology in the world in the past few years and it will keep increasing in the next few years. Europe market took up about 42% the global market in 2018, while USA and China were about 30%, 8%.
Market Analysis and Insights: Global SLAM Technology Market
The global SLAM Technology market size is projected to reach US$ 3157.7 million by 2027, from US$ 225.5 million in 2020, at a CAGR of 44.3% during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global SLAM Technology market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global SLAM Technology market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global SLAM Technology market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global SLAM Technology market.
Global SLAM Technology Scope and Market Size
SLAM Technology market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global SLAM Technology market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.
Segment by Type
Visual SLAM
Laser SLAM
The eye is the main source of human access to outside information. Visual SLAM also has similar features, it can obtain massive, redundant texture information from the environment, with superior scene recognition capabilities. The early visual SLAM was based on the filtering theory, and its nonlinear error model and huge computational complexity became its practical obstacles. In recent years, with the sparse nonlinear optimization theory (Bundle Adjustment) and the advancement of camera technology and computing performance, real-time running visual SLAM is no longer a dream.
Laser SLAM uses 2D or 3D laser radar (also called single or multi-line laser radar), 2D laser radar is generally used for indoor robots (such as sweeping robots), and 3D laser radar is generally used in the field of unmanned driving. The emergence and popularity of lidar makes measurement faster and more accurate, and information is more abundant. The object information collected by the laser radar presents a series of scattered points with accurate angle and distance information, which is called a point cloud. Generally, the laser SLAM system calculates the distance and attitude of the relative motion of the lidar by matching and comparing two point clouds at different times, thus completing the positioning of the robot itself.
Segment by Application
Robot
Unmanned Aerial Vehicle (UAV)
Augmented Reality (AR)
Autonomous Vehicles
Unmanned aerial vehicle (UAV), commonly known as drone, is a type of aircraft that operates without a human pilot onboard. Its flight is controlled either autonomously by onboard computers or by the remote control of a pilot on the ground or in another vehicle. It is widely used in aerial entertainment, geological prospecting, agricultural field etc.
Augmented Reality (AR) includes AR area, mapping tool or mapper.
Autonomous Vehicles includes automated guided vehicle (AGV), autonomous intelligent vehicles (AIVs) and self-driving car.
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
By Company
Apple ARKit
Aethon
Clearpath Robotics
Locus Robotics
Amazon Robotics
Parrot SA
NavVis
GeoSLAM
Ascending Technologies
SLAMcore
KUKA AG
Gestalt Robotics
Omron Adept Technologies
Shanghai Slamtec
Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
- By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
