To cope with remote-working and exploding data needs, respondents in one survey were mostly relying on multiple cloud solutions  

In a Q3 2022 cross-industry survey of 1,500 enterprise (>500 full-time employees in N.America or >1,000 employees in other regions) respondents in North America, Europe, the Asia Pacific region, the Middle East, and Latin America on cloud strategy trends, respondents were facing new challenges such as increased levels of remote-working with new business partners and suppliers, and their use of multiple cloud strategies reflected the flexibility and scalability needed for the new post-pandemic reality. 

For respondents from the Asia Pacific region, 97% of respondents were using or planning to use at least two cloud infrastructure providers, while 35% were using four or more. Similarly, 95% of the region’s respondents indicated they were using or planning to use at least two cloud application providers, and around 48% indicating five or more SaaS providers.

Other findings include:

    • 44% of multi-cloud strategies cited by respondents focused on data sovereignty as the top driver, and 40% on cost optimization.
    • 32% of multi-cloud strategies cited by respondents focused on business agility and innovation; 27% on best of breed cloud services and applications; and 26% focused on cloud vendor lock-in concerns.
    • 56 percent of respondents cited data redundancy as the most anticipated future use case, followed by data mobility (52%) and cost optimization across public clouds (45%).
    • 41% of respondents’ IT departments cited plans to use multi-cloud strategies for risk mitigation for the entire IT environment, while 44% cited geographic expansion or global service delivery./li>

According to Chris Chelliah, Senior Vice President (Technology and Customer Strategy), Oracle (Japan and Asia Pacific), which commissioned the survey: “(Respondents were) on-boarding new cloud providers to accelerate their digital transformation goals. They want to get their existing mission critical workloads on the cloud faster, without the cost or risk of having to re-write, to then tap into the innovation areas driven by machine learning and AI.”