The primary drivers for top workloads on public cloud infrastructure include ‘Lift & Shift’ migration patterns, the beginning of the adoption of AI/ ML capabilities, and the growth of cloud-native applications and dev/ test use cases on public cloud.
via IDC Blog
“Data is the reason infrastructure needs to be overhauled to deliver AI at scale, with 89% of respondents in our survey saying they expect the volume of data in using the machine learning workloads to increase in the next year, and almost half projecting an increase of 25% or more.”
via 451 Research
The services market is aflutter with the coming impact of migrating work from legacy IT environments to cloud environments. Twenty-five to 30 percent of capacity in legacy environments today is utilized for testing, making it ideal as the first workload in services to migrate to cloud.
Source: Everest Group
The Internet of Things (IoT) explosion will be a major driver of technology investments over the next decade. Investments in the data center will be critical for IoT services to reach their full potential. Installed data center capacity consumed by IoT workloads will increase nearly 750% between 2014 and 2019.