Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global SLAM Technology 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.) And By Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast To 2028-report

Global SLAM Technology 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.) And By Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast To 2028

Report ID: 161369 3300 IT & Telecom 377 233 Pages
                                          

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”. As per the latest research SLAM Technology market is expected to expand at a CAGR of xx% in the forecast period.

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

2020

Historical Year

2018 to 2019 (Data from 2010 can be provided as per availability)

Forecast Year

2028

Number of Pages

233

Number of Tables & Figures

164

Customization Available

Yes, the report can be customized as per your need.


Global SLAM Technology Industry Outlook

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:

  1. Google
  2. Apple ARKit
  3. Facebook
  4. Aethon
  5. Clearpath Robotics
  6. Locus Robotics
  7. Amazon Robotics
  8. Parrot SA
  9. NavVis
  10. GeoSLAM
  11. Ascending Technologies
  12. SLAMcore
  13. KUKA AG
  14. Gestalt Robotics
  15. Omron Adept Technologies
  16. Shanghai Slamtec
  17. SLAM Technolog

Global SLAM Technology Market Overview

Highlights of The SLAM Technology Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of Alpha Hydroxy Acid for Cosmetic Market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2028.
  5. Developments and trends in the market.
  6. By Type:

    1. Visual SLAM
    2. Laser SLAM
    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.
    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. SLAM Technolog
  1. By Application:

    1. Robot
    2. Unmanned Aerial Vehicle (UAV)
    3. Augmented Reality (AR)
    4. Autonomous Vehicles
    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. Augmented Reality (AR) includes AR area, mapping tool or mapper.
    7. Autonomous Vehicles includes automated guided vehicle (AGV), autonomous intelligent vehicles (AIVs) and self-driving car.
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. 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 2028.

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.

How you may use our products:

  • 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

Global SLAM Technology Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available
                                            
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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