Global SLAM Technology Market Size, Status and Forecast 2019-2025

SKU ID : QYR-14847284 | Publishing Date : 28-Oct-2019 | No. of pages : 128

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%.
In 2018, the global SLAM Technology market size was 88 million US$ and it is expected to reach 2030.9 million US$ by the end of 2025, with a CAGR of 55.1% during 2019-2025.

This report focuses on the global SLAM Technology status, future forecast, growth opportunity, key market and key players. The study objectives are to present the SLAM Technology development in North America, Europe, China and Japan.

The key players covered in this study


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

Market segment by Type, the product can be split into


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.

Market segment by Application, split into


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 segment by Regions/Countries, this report covers


North America
Europe
China
Japan

The study objectives of this report are:


To analyze global SLAM Technology status, future forecast, growth opportunity, key market and key players.
To present the SLAM Technology development in North America, Europe, China and Japan.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.

In this study, the years considered to estimate the market size of SLAM Technology are as follows:
History Year: 2014-2018

Base Year:

2018

Estimated Year:

2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

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.
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