In a recent release, 451 Research (News - Alert) has unveiled the latest trends in IoT use and finds that the massive amounts of data generated by the Internet of Things (IoT) is already having a significant impact on enterprise IT.
In the latest version of the “Voice of the Enterprise: IoT– Workloads and Key Projects” report, 451 analysts have reported findings that organizations deploying IoT are planning increases in storage capacity, network edge equipment, server infrastructure, and off-premises cloud infrastructure in the next 12 months, to help manage IoT data.
The analysts also found that spending on IoT projects remains solid, with 65.6 percent of respondents planning to increase their spending in the next 12 months and only 2.7 percent planning a reduction.
IT-centric projects are the dominant IoT use cases, according to the results, particularly datacenter 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.
Finding IoT-skilled workers remains a challenge since the last 451 Research 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.
The company also reported that the collection, storage, transport and analysis of IoT data is impacting all aspects of IT infrastructure. Most companies say they initially store and analyze IoT data at a company-owned datacenter. IoT data remains stored there for two-thirds of organizations, while nearly one-third of the respondents move the data to a public cloud. Once the 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.
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 at the edge, including data analysis, data aggregation or data filtering, either on the IoT device or in nearby IT infrastructure.
“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 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.”