50% of respondents said the specific needs of AI workloads are the reason why AI workloads are in a combination of private cloud and on-premises environments.

35% of respondents said cost is the reason why AI workloads are in a combination of private cloud and on-premises environments.

Private cloud spending at the $10M+ per year level will increase from 43% in 2024 to 53.6% in 2025. This represents a 24% growth rate in private cloud spending for these cohorts. This compares to just 12% growth in public cloud spending for the same cohorts.

AI adoption ranks among the top three reasons for private cloud use.

56% of respondents said enhanced security is the reason why AI workloads are in a combination of private cloud and on-premises environments.

When migrating workloads to private clouds, the top challenges are managing apps post-migration, securing hybrid environments, and lack of technical skills or feasibility, each cited by 38% of respondents

51% of respondents said compliance and regulatory demands are the reason why AI workloads are in a combination of private cloud and on-premises environments.

More than half of all AI workloads already reside in a combination of private cloud and on-premises environments.

70% of Security and IT leaders report their organization is actively considering repatriating data from public to private cloud due to security concerns.