Canadian Manufacturing

5G a catalyst for Industry 4.0, Frost & Sullivan

by CM Staff   

Manufacturing Research & Development Technology / IIoT Electronics 4G 5G Industry 4.0 research and development


The high bandwidth and low latency provided by 5G networks are driving process industries to partner with strategic 5G providers.

IIoT

SAN ANTONIO — According to Frost & Sullivan’s latest research report, 5G in Process Industries, the limitations of 4G technology have provided 5G technology the opportunity show how it can function as an ally to Industry 4.0.

The high bandwidth and low latency provided by 5G networks are driving process industries to partner with strategic 5G providers. In addition to the organizational and economic benefits of industrial digitization, falling prices of technologies such as machine learning and Big Data analytics push manufacturers toward technological solutions that improve their quality and efficiency.

“Industry 4.0 and the industrial IoT (IIoT) are increasing the number of smart sensors at a manufacturing plant and enabling machine-to-machine communications,” said Marina Salaber, Research Analyst, Industrial Practice, Frost & Sullivan in a statement.

“5G broadband’s capabilities enable connections to numerous devices and simultaneously process large masses of data, addressing the concern about the increasing requirement of data traffic that modern factories need.”

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Frost & Sullivan says that market participants should focus on advanced predictive maintenance as it is transforming risk management in all industry verticals since inspections have moved to virtual platforms due to coronavirus.

The research and consulting firm also recommends that manufacturers partner with AI, 5G network and data management software providers for energy management, adding that using ML and deep data analytics to process the information collected can prove helpful.

Frost & Sullivan says that autonomous and collaborative robots also have the potential to improve the reliability and efficiency of production lines as automated processes must produce higher-quality standards due to their higher standardization and precision levels.

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