Global SLAM Robots Market Projected to Reach 640 Million US$ by 2025, at a CAGR of 16.8%

The SLAM Robots market was valued at 180 Million US$ in 2017 and is projected to reach 640 Million US$ by 2025, at a CAGR of 16.8% during the forecast period.

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City of Industry, CA -- (SBWire) -- 09/20/2018 --This study focuses on the production side and consumption side of SLAM Robots, presents the global SLAM Robots market size by manufacturers, regions, type and application, history breakdown data from 2013 to 2018, and forecast to 2025.

In terms of production side, this report researches the SLAM Robots capacity, production, value, ex-factory price, growth rate, market share for major manufacturers, regions (or countries) and product type.

In terms of consumption side, this report focuses on the consumption of SLAM Robots by regions and application. The key regions like North America, Europe, Asia-Pacific, Central & South America, Middle East and Africa etc.

This report studies the SLAM Robots market, Simultaneous localization and mapping, or SLAM for short, is the process of creating a map using a robot or unmanned vehicle that navigates that environment while using the map it generates. SLAM is technique behind robot mapping or robotic cartography. The robot or vehicle plots a course in an area, but at the same time, it also has to figure out where its own self is located in the place. The process of SLAM uses a complex array of computations, algorithms and sensory inputs to navigate around a previously unknown environment or to revise a map of a previously known environment. SLAM enables the remote creation of GIS data in situations where the environment is too dangerous or small for humans to map.

The key players are Swisslog (KUKA), Omron Adept, Clearpath Robotics, Vecna, Mobile Industrial Robots, SMP Robotics, Aethon, Locus Robotics, Fetch Robotics, Hi-Tech Robotic Systemz, Amazon Robotics and so on. Among them, Swisslog (KUKA) and Omron Adept are the leader of SLAM Robots market.

SLAM Robots are largely more cost-efficient compared to human labor, which allows for a greatly expanded list of economically feasible services. This is because most of the currently demanded services were originally offered with the cost of human labor in mind, rather than creating an affordable robot. It is also important that a single operator can manage multiple robots at the same time. Thanks to modern communication technologies, the robots' performance can be controlled remotely. In the near future, the service market is expected to experience drastic changes, due to the increased availability of mobile robots. Soon, the most economically attractive and advantageous use for the SLAM robots will be seen in the tailor-made tasks based in the reality of our increasingly robotized global environment and its emerging brand-new markets.

The industry is expected to remain innovation-led, with frequent acquisitions and strategic alliances adopted as the key strategies by the players to increase their industry presence. Meanwhile, optimize product mix and further develop value-added capabilities to maximize margins. Manufacturers can take advantage of this situation by reinforcing their production units and supply-chains to avoid any delay in production turn-around-times (TAT) and supply-lead-times.

The SLAM Robots market was valued at 180 Million US$ in 2017 and is projected to reach 640 Million US$ by 2025, at a CAGR of 16.8% during the forecast period. In this study, 2017 has been considered as the base year and 2018 to 2025 as the forecast period to estimate the market size for SLAM Robots.

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This report includes the following manufacturers; we can also add the other companies as you want.

Swisslog (KUKA)

Omron Adept

Clearpath Robotics

Vecna

Mobile Industrial Robots

SMP Robotics

Aethon

Locus Robotics

Fetch Robotics

Hi-Tech Robotic Systemz

Amazon Robotics

Market Segment by Product Type

Industrial Robots

Service Robots

Market Segment by Application

Hospitals and Healthcare

Manufacturing

Logistics and Warehouse

Military

Others

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