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Collaborative Robots Vital for Connected Manufacturing Operations

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New ARC Advisory Group research report on the global market for collaborative robots (cobots) reveals that to get the full benefit from human-robot collaboration, manufacturers must develop integrated strategies that combine data analytics, design, and a new partnership ecosystem. Intelligent robots with integrated vision guidance and enhanced sensors are more adaptable to the production environment. The new breed of robots are more mobile, better integrated with human activities, and – most importantly – can learn new skills and generate new insights/thoughts on the job. The increase in the use of cobots also leads to increased data, and manufacturers need to put in more effort in securing and analyzing this data.

“Cobots will become a key source of information on the factory floor. The collection of data, however, is just one part of the task. Manufacturers will have to implement systems to organize and analyze all this information to be able to act on it. Big Data analysis will become a competitive differentiator. As cobots become connected to internal systems for data collection, cybersecurity risks increase. Manufacturers will be forced to address vulnerabilities in their processes and invest heavily in cybersecurity to ensure safe, reliable production,” according to Rajkumar Paira, Senior Analyst at ARC Advisory Group and key author of ARC’s Collaborative Robots Global Market Research report.

About the Collaborative Robots Research

Collaborative Robots Market TrendsThis ARC research on collaborative robots explores current and historical market performance and related technology and business trends, identifies leading technology suppliers, and provides five-year (global/regional) forecasts for the collaborative robot market. This new research is based on ARC’s industry-leading market research database, extensive primary and secondary research, and proprietary economic modelling techniques. The research includes competitive analysis, plus five-year market forecasts by industry, revenue category, payload type, arm type, application, sales channels, and customers

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