According to Frost & Sullivan there have been three major computing revolutions in industrial applications - mainframes, client servers, and cloud computing.
“Taking up where these paradigms left off, edge computing is establishing itself as a foundational technology for industrial enterprises with its shorter latencies, robust security, responsive data collection, and lower costs,” the research firm states in a new report.
“It is extremely relevant in the current hyper-connected industrial environment, as its solution-agnostic nature enables its use across a range of applications, including autonomous assets, remote asset monitoring, data extraction from stranded assets, autonomous robotics, autonomous vehicles, smart factories, oilfield operations management, machine monitoring and smart campuses.
“By 2020, 1.7 billion Industrial Internet of Things (IIoT) devices are likely to be connected to edge solutions. Further, we expect that at least 30 percent of the applications will be pushed to the edge within the next five to seven years.”
Frost & Sullivan's latest thought leadership paper, All Eyes on the Edge: Transformation of Industrial Enterprise Data, underlines the importance of edge computing for industrial enterprises and manufacturers. It analyzes the emergence of an edge computing ecosystem and provides practical insights into ways to deploy the edge. Furthermore, it presents industrial use cases and their outcomes to illustrate the power of edge computing.
To download the complimentary white paper, please visit: http://frost.ly/3dt
It states that the digital transformation journey of industrial enterprise has proven to be insufficient and, in key ways, incompatible due to the latency gap that exists between cloud and connected industrial devices.
Industrial enterprises are therefore eager for technologies like the edge that will enhance their responsiveness and help them sustainably increase profitability, productivity, efficiency and safety.
"The value of data rapidly decays, and as the cloud is ill-suited for responsive data analysis, it can cause the degradation of time-sensitive data related to critical applications such as equipment failure, performance monitoring, supply chain data analysis, and predictive maintenance," said Jared Graham, industrial consultant at Frost & Sullivan. "Only the edge is capable of offering fast turnarounds, low latency analysis, and the control required by today's industrial enterprises."
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