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The global cloud robotics market size reached US$ 4.87 Billion in 2021. Looking forward, IMARC Group expects the market to reach US$ 16.64 Billion by 2027, exhibiting a growth rate (CAGR) of 20.50% during 2022-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.
Cloud robotics is a robotics field involving robots, automation systems, cloud computing, deep learning, big data, the internet of things (IoT), and other emerging technologies that focus on centralized infrastructure and shared services. It allows robots to benefit from the storage and communications resources of modern data centers, share data and code, and perform computation. It also helps remove maintenance and updates overhead and reduce dependence on custom middleware. Nowadays, organizations worldwide are increasingly relying on cloud robotics as it enables a high level of human-robot interaction and learning and contributes to digital transformation.
Cloud robotics allows robots to access vast amounts of processing and rapidly increasing data transfer to offload compute-intensive tasks like image processing, voice recognition, and downloading new skills instantly. This, in confluence with the rising focus on industrial automation and digitization of businesses, represents one of the primary factors impelling the market growth. Apart from this, the rising traction of autonomous cars is driving the adoption of cloud robotics in the automotive industry to index maps, images, and data on prior driving trajectories, weather, and traffic; determine spatial localization; and make decisions. Moreover, cloud robotics is gaining widespread adoption to enable warehouse and logistics automation using mobile platforms and a local network to move pallets, coordinate platforms, and share updates in real-time. Furthermore, key players are launching innovative solutions that can handle computationally heavy tasks, enable power and cognitive collaboration, and increase the available data to share with other machines and humans. This, in turn, is anticipated to expand the application of cloud robotics in the healthcare, mining, agriculture, and construction industries across the globe.
IMARC Group provides an analysis of the key trends in each sub-segment of the global cloud robotics market, along with forecasts at the global, regional and country level from 2022-2027. Our report has categorized the market based on component, connectivity, deployment mode and application.
Breakup by Component:
Breakup by Connectivity:
Breakup by Deployment Mode:
Breakup by Application:
Breakup by Region:
The competitive landscape of the industry has also been examined along with the profiles of the key players being ABB Group, Calvary Robotics, CloudMinds, FANUC Corporation, inVia Robotics Inc., Kuka AG (Midea Group), Ortelio Ltd, Rapyuta Robotics Co. Ltd., Universal Robots A/S (Teradyne Inc.), V3 Smart Technologies and Yaskawa Electric Corporation.
|Base Year of the Analysis||2021|
|Segment Coverage||Component, Connectivity, Deployment Mode, Application, Region|
|Region Covered||Asia Pacific, Europe, North America, Latin America, Middle East and Africa|
|Countries Covered||United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico|
|Companies Covered||ABB Group, Calvary Robotics, CloudMinds, FANUC Corporation, inVia Robotics Inc., Kuka AG (Midea Group), Ortelio Ltd, Rapyuta Robotics Co. Ltd., Universal Robots A/S (Teradyne Inc.), V3 Smart Technologies and Yaskawa Electric Corporation.|
|Customization Scope||10% Free Customization|
|Report Price and Purchase Option||Single User License: US$ 2499
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Corporate License: US$ 4499
|Post-Sale Analyst Support||10-12 Weeks|
|Delivery Format||PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)|
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