Industry Growth Insights published a new data on “SLAM Technology Market”. The research report is titled “SLAM Technology Market research by Types (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., SLAM Technolog), By Applications (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 Players/Companies 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 Technolog”.
Scope Of The Report
Report Attributes
Report Details
Report Title
SLAM Technology Market Research Report
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., SLAM Technolog
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 Companies
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 Technolog
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
239
Number of Tables & Figures
168
Customization Available
Yes, the report can be customized as per your need.
Global SLAM Technology Market Report Segments:
The global SLAM Technology market is segmented on the basis of:
Types
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., SLAM Technolog
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
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.
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- 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 Technolog
Highlights of The SLAM Technology Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- 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.
- SLAM Technolog
- 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.
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the SLAM Technology Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
SLAM technology is a type of computer vision that uses stereo cameras to map the environment. This information is then used to create a 3D model of the environment.
Some of the major companies in the slam technology market are 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 Technolog.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. SLAM Technology Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. SLAM Technology Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. SLAM Technology Market - Supply Chain
4.5. Global SLAM Technology Market Forecast
4.5.1. SLAM Technology Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. SLAM Technology Market Size (000 Units) and Y-o-Y Growth
4.5.3. SLAM Technology Market Absolute $ Opportunity
5. Global SLAM Technology Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. SLAM Technology Market Size and Volume Forecast by Type
5.3.1. Visual SLAM
5.3.2. Laser SLAM
5.3.3. 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.
5.3.4. 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.
5.3.5. SLAM Technolog
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type
6. Global SLAM Technology Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. SLAM Technology Market Size and Volume Forecast by Application
6.3.1. Robot
6.3.2. Unmanned Aerial Vehicle (UAV)
6.3.3. Augmented Reality (AR)
6.3.4. Autonomous Vehicles
6.3.5. 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.
6.3.6. Augmented Reality (AR) includes AR area, mapping tool or mapper.
6.3.7. Autonomous Vehicles includes automated guided vehicle (AGV), autonomous intelligent vehicles (AIVs) and self-driving car.
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application
7. Global SLAM Technology Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. SLAM Technology Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel
8. Global SLAM Technology Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. SLAM Technology Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global SLAM Technology Demand Share Forecast, 2019-2026
9. North America SLAM Technology Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America SLAM Technology Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America SLAM Technology Market Size and Volume Forecast by Application
9.4.1. Robot
9.4.2. Unmanned Aerial Vehicle (UAV)
9.4.3. Augmented Reality (AR)
9.4.4. Autonomous Vehicles
9.4.5. 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.
9.4.6. Augmented Reality (AR) includes AR area, mapping tool or mapper.
9.4.7. Autonomous Vehicles includes automated guided vehicle (AGV), autonomous intelligent vehicles (AIVs) and self-driving car.
9.5. Basis Point Share (BPS) Analysis by Application
9.6. Y-o-Y Growth Projections by Application
9.7. North America SLAM Technology Market Size and Volume Forecast by Type
9.7.1. Visual SLAM
9.7.2. Laser SLAM
9.7.3. 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.
9.7.4. 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.
9.7.5. SLAM Technolog
9.8. Basis Point Share (BPS) Analysis by Type
9.9. Y-o-Y Growth Projections by Type
9.10. Market Attractiveness/Growth Potential Analysis
9.10.1. By Country
9.10.2. By Product Type
9.10.3. By Application
9.10.4. By Sales Channel
9.11. North America SLAM Technology Demand Share Forecast, 2019-2026
10. Latin America SLAM Technology Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America SLAM Technology Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America SLAM Technology Market Size and Volume Forecast by Application
10.4.1. Robot
10.4.2. Unmanned Aerial Vehicle (UAV)
10.4.3. Augmented Reality (AR)
10.4.4. Autonomous Vehicles
10.4.5. 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.
10.4.6. Augmented Reality (AR) includes AR area, mapping tool or mapper.
10.4.7. Autonomous Vehicles includes automated guided vehicle (AGV), autonomous intelligent vehicles (AIVs) and self-driving car.
10.4.8. APPLICATION8
10.4.9. APPLICATION9
10.4.10. APPLICATION 10
10.5. Basis Point Share (BPS) Analysis by Application
10.6. Y-o-Y Growth Projections by Application
10.7. Latin America SLAM Technology Market Size and Volume Forecast by Type
10.7.1. Visual SLAM
10.7.2. Laser SLAM
10.7.3. 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.
10.7.4. 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.
10.7.5. SLAM Technolog
10.7.6. TYPE6
10.7.7. TYPE7
10.7.8. TYPE8
10.7.9. TYPE9
10.7.10. TYPE 10
10.8. Basis Point Share (BPS) Analysis by Type
10.9. Y-o-Y Growth Projections by Type
10.10. Market Attractiveness/Growth Potential Analysis
10.10.1. By Country
10.10.2. By Product Type
10.10.3. By Application
10.10.4. By Sales Channel
10.11. Latin America SLAM Technology Demand Share Forecast, 2019-2026
11. Europe SLAM Technology Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe SLAM Technology Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe SLAM Technology Market Size and Volume Forecast by Application
11.4.1. Robot
11.4.2. Unmanned Aerial Vehicle (UAV)
11.4.3. Augmented Reality (AR)
11.4.4. Autonomous Vehicles
11.4.5. 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.
11.4.6. Augmented Reality (AR) includes AR area, mapping tool or mapper.
11.4.7. Autonomous Vehicles includes automated guided vehicle (AGV), autonmous intelligent vehicles (AIVs) and self-driving car.
11.4.8. APPLICATION8
11.4.9. APPLICATION9
11.4.10. APPLICATION 10
11.5. Basis Point Share (BPS) Analysis by Application
11.6. Y-o-Y Growth Projections by Application
11.7. Europe SLAM Technology Market Size and Volume Forecast by Type
11.7.1. Visual SLAM
11.7.2. Laser SLAM
11.7.3. 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.
11.7.4. 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.
11.7.5. SLAM Technolog
11.7.6. TYPE6
11.7.7. TYPE7
11.7.8. TYPE8
11.7.9. TYPE9
11.7.10. TYPE 10
11.8. Basis Point Share (BPS) Analysis by Type
11.9. Y-o-Y Growth Projections by Type
11.10. Market Attractiveness/Growth Potential Analysis
11.10.1. By Country
11.10.2. By Product Type
11.10.3. By Application
11.10.4. By Sales Channel
11.11. Europe SLAM Technology Demand Share, 2019-2026
12. Asia Pacific SLAM Technology Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific SLAM Technology Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific SLAM Technology Market Size and Volume Forecast by Application
12.4.1. Robot
12.4.2. Unmanned Aerial Vehicle (UAV)
12.4.3. Augmented Reality (AR)
12.4.4. Autonomous Vehicles
12.4.5. 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.
12.4.6. Augmented Reality (AR) includes AR area, mapping tool or mapper.
12.4.7. Autonomous Vehicles includes automated guided vehicle (AGV), autonomous intelligent vehicles (AIVs) and self-driving car.
12.4.8. APPLICATION8
12.4.9. APPLICATION9
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