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Limit of IIoT evolution
As previously posted in The World of Evolution of the Internet of Things by Jason Andersen
The global Industrial Internet of Things (IIoT) market is
growing rapidly, encompassing industries across all sectors. The latest
research estimates that IIoT will add $ 14.2 trillion to the global economy by
2030. And as the global industrial Internet of Things develops, the hype around
advanced computing grows in parallel. Operators are starting to channel more
computing power to the edge of their networks, where IIoT functions actually
reside.
Looking at industry organizations, we can see an interesting
evolution taking place as companies implement IIoT systems. Operational
Technology (OT) groups have historically focused on automation equipment -
hardware and software - in their wheelhouse, but they are increasingly starting
to focus less on the tools themselves and more on the data generated by their
systems. Organizations are becoming more data-driven than application-driven —
even more realizing that data and analytics have a great potential to unleash
business value.
What is driving these changes?
Top priorities for creating value with IIoT include business
continuity and new cost efficiency. While this is not expected to change, many
companies are also starting to use hybrid clouds to better distribute workloads
— especially for mission-critical functions — as well as real-time processing.
As automation grows, data will turn IIoT into a long-term business goal and
become a competitive advantage for industrial operators.
This shift is also driven by explosive growth in data
volumes - and business proof of the value of that data. Data and analytics can
now provide information that helps companies make informed decisions. However,
as more data becomes available, we will see these ideas become more intelligent
and invisible - systems will soon allow real-time optimization and autonomous
decision-making based on artificial intelligence without the need for human
intervention.
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