In the latest Voice of the Enterprise: IoT – Workloads and Key Projects, 451 Research analysts find that organizations deploying IoT are planning increases in storage capacity (32.4%), network edge equipment (30.2%), server infrastructure (29.4%) and off- premises cloud infrastructure (27.2%) in the next 12 months, to help manage the IoT data storm.
Today, IT-centric projects are the dominant IoT use cases, particularly data center management and surveillance and security monitoring. Two years out, however, facilities automation will likely be the most popular use case, and line-of- business-centric supply chain management is expected to jump from number 6 to number three, according to the latest 451 Research report.
Company-Owned Data Centers
Finding IoT-skilled workers remains a challenge since the last IoT survey in 2016, with almost half of respondents saying they face a skills shortage for IoT-related tasks. Data analytics, security and virtualization capabilities are the skills most in demand.
451 Research finds that the collection, storage, transport and analysis of IoT data is impacting all aspects of IT infrastructure. Most companies say they initially store (53.1%) and analyze (59.1%) IoT data at a company-owned data center. IoT data remains stored there for two-thirds of organizations, while nearly one-third of the respondents move the data to a public cloud.
Researchers find that, once IoT data moves beyond operational and real-time uses and the focus is on historical use cases such as regulatory reporting and trend analysis, cloud storage gives organizations greater flexibility and often significant cost savings for the long term.
At the Edge
Despite this centralization of IoT data, the survey also finds action at the edge. Just under half of respondents say they do IoT data processing – including data analysis, data aggregation or data filtering – at the edge, either on the IoT device (22.2%) or in nearby IT infrastructure (23.3%).
“Companies are processing IoT workloads at the edge today to improve security, process real-time operational action triggers, and reduce IoT data storage and transport requirements,” said Rich Karpinski, Research Director for 451 Research’s Voice of the Enterprise: Internet of Things. “While some enterprises say that in the future they will do more analytics – including heavy data processing and analysis driven by big data or AI – at the network edge, for now that deeper analysis is happening in company-owned datacenters or in the public cloud.”