

This trend will be mainly driven by databases for analytics and the software-as-a-service (SaaS) model.
"From conversations with Gartner customers, we know: Enterprises are developing and deploying new applications in the cloud and moving existing assets with increased frequency. This will continue to increase."
Donald Feinberg, Distinguished Research Vice President at Gartner, said.
"We also expect this development to continue with systems for
Data Management Solutions for Analytics (DMSA) will begin - such as data warehousing, data lakes and other use cases involving data for analytics, artificial intelligence (AI) and machine learning (ML).
Increasingly, operational systems are also moving to the cloud, especially as we move to the SaaS application model."
Ecosystems are forming around cloud service providers (CSPs) that both integrate services into a single offering and enable early steps toward intercloud data management.
This is in marked contrast to the on-premises approach, where individual products often take on multiple roles but rarely provide their own integrated capabilities to support integration with adjacent products within the on-premises deployment environment.
Although there is some growth in on-premises systems, this is rarely due to new on-premises deployments; it is generally due to price increases and forced upgrades to avoid risk.
"This shows that the importance of CSP infrastructure, cloud-native offerings and third-party offerings running on said infrastructure is increasing"
Feinberg said.
"A recent Gartner survey on cloud adoption found that 81 percent of public cloud respondents use more than one CSP.
Dhe cloud ecosystem is expanding to include multiple CSPs for most cloud consumers; primarily to avoid vendor lock-in."