The global Industrial Internet of Things (IIoT) market is growing exponentially, reaching across all industries and all sectors.
Meanwhile, edge computing is exhibiting synchronicity with companies implementing IIoT systems. From a tradition emphasizing automation equipment, operational technology teams are now increasingly turning attention away from their tools themselves to take a closer look at the data generated by their systems. This shift in data emphasis is due in part to the explosive growth of data and a growing realization of its value.
Along with increased usage of data, importance of data is also rising. A valuable asset for IIoT efforts, data must be protected if industrial companies hope to be successful with analytics. Among other concerns, this means that companies must find ways to ensure a reliable infrastructure and secure connectivity.
This is where where edge computing can help. Enterprises should consider merging their IIoT applications and software with comprehensive predictive modeling capabilities. By managing large amounts of data, edge computing can simplify solutions, reduce costs and relieve the burden on IT teams.
With the future of IIoT looking bright, edge computing multiplies the possibilities for its use in enterprises.