Summary - A new market study, titled “Global SLAM Technology Market Growth (Status and Outlook) 2020-2025”has been featured on WiseGuyReports.
According to this study, over the next five years the SLAM Technology market will register a 57.2%% CAGR in terms of revenue, the global market size will reach $ 843.7 million by 2025, from $ 138.3 million in 2019. In particular, this report presents the global revenue market share of key companies in SLAM Technology business, shared in Chapter 3.
This report presents a comprehensive overview, market shares, and growth opportunities of SLAM Technology market by product type, application, key manufacturers and key regions and countries.

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This study specially analyses the impact of Covid-19 outbreak on the SLAM Technology, covering the supply chain analysis, impact assessment to the SLAM Technology market size growth rate in several scenarios, and the measures to be undertaken by SLAM Technology companies in response to the COVID-19 epidemic.

Segmentation by type: breakdown data from 2015 to 2020 in Section 2.3; and forecast to 2025 in section 10.7.
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.

Segmentation by application: breakdown data from 2015 to 2020, in Section 2.4; and forecast to 2025 in section 10.8.
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.

This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.
Google
GeoSLAM
Apple ARKit
Aethon
Clearpath Robotics
Facebook
Parrot SA
Locus Robotics
NavVis
Amazon Robotics
Shanghai Slamtec
Ascending Technologies
Gestalt Robotics
KUKA AG
Omron Adept Technologies
SLAMcore

In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

Research objectives
To study and analyze the global SLAM Technology market size by key regions/countries, type and application, history data from 2015 to 2019, and forecast to 2025.
To understand the structure of SLAM Technology market by identifying its various subsegments.
Focuses on the key global SLAM Technology players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the SLAM Technology with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of SLAM Technology submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.

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