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Gartner: IT Modernization Is Top Driver of Public Cloud Adoption

Pete Goldin
APMdigest

The worldwide public cloud services market is projected to grow 17.2 percent in 2016 to total $208.6 billion, up from $178 billion in 2015, according to Gartner, Inc.

The highest growth will come from cloud system infrastructure services (infrastructure as a service [IaaS]), which is projected to grow 42.8 percent in 2016.

Cloud application services (software as a service [SaaS]), one of the largest segments in the global cloud services market, is expected to grow 21.7 percent in 2016 to reach $38.9 billion.

"Growth of public cloud is supported by the fact that organizations are saving 14 percent of their budgets as an outcome of public cloud adoption, according to Gartner's 2015 cloud adoption survey," said Sid Nag, Research Director at Gartner. "However, the aspiration for using cloud services outpaces actual adoption. There's no question there is great appetite within organizations to use cloud services, but there are still challenges for organizations as they make the move to the cloud. Even with the high rate of predicted growth, a large number of organizations still have no current plans to use cloud services."

IT modernization is currently the top driver of public cloud adoption, followed by cost savings, innovation, agility and other benefits. The focus on IT modernization indicates a more sophisticated and strategic use of public cloud services. Not only are public cloud services being used to recognize the tactical benefits of cost savings and innovation, but they are also being used to establish a more modern IT environment — an environment that can serve as a strategic foundation for future applications and digital business processes.

Security and/or privacy concerns continue to be the top inhibitors to public cloud adoption, despite the strong security track record and increased transparency of leading cloud providers.

"Gartner's position on cloud security has been clear — public cloud services offered by the leading cloud providers are secure. The real security challenge is using public cloud services in a secure manner," said Ed Anderson, Research VP at Gartner. "More education is needed to help organizations overcome the hype associated with security concerns. This should be a key area of focus for providers in working with their clients to unlock the benefits of public cloud services."

Most organizations are already using a combination of cloud services from different cloud providers. While public cloud usage will continue to increase, the use of private cloud and hosted private cloud services is also expected to increase at least through 2017. The increased use of multiple public cloud providers, plus growth in various types of private cloud services, will create a multicloud environment in most enterprises and a need to coordinate cloud usage using hybrid scenarios.

Although hybrid cloud scenarios will dominate, there are many challenges that inhibit working hybrid cloud implementations. Organizations that are not planning to use hybrid cloud indicated a number of concerns, including: integration challenges, application incompatibilities, a lack of management tools, a lack of common APIs and a lack of vendor support.

"Of course in the case of hybrid cloud, these top concerns also highlight some of the top opportunities for providers," said Anderson. "We know that public cloud services will continue to grow. We also know that private cloud services (of various types) will become more widely used. Therefore, providers must focus on the top hybrid cloud challenges to be successful in meeting the growing demand for hybrid cloud solutions."

Pete Goldin is Editor and Publisher of APMdigest

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Gartner: IT Modernization Is Top Driver of Public Cloud Adoption

Pete Goldin
APMdigest

The worldwide public cloud services market is projected to grow 17.2 percent in 2016 to total $208.6 billion, up from $178 billion in 2015, according to Gartner, Inc.

The highest growth will come from cloud system infrastructure services (infrastructure as a service [IaaS]), which is projected to grow 42.8 percent in 2016.

Cloud application services (software as a service [SaaS]), one of the largest segments in the global cloud services market, is expected to grow 21.7 percent in 2016 to reach $38.9 billion.

"Growth of public cloud is supported by the fact that organizations are saving 14 percent of their budgets as an outcome of public cloud adoption, according to Gartner's 2015 cloud adoption survey," said Sid Nag, Research Director at Gartner. "However, the aspiration for using cloud services outpaces actual adoption. There's no question there is great appetite within organizations to use cloud services, but there are still challenges for organizations as they make the move to the cloud. Even with the high rate of predicted growth, a large number of organizations still have no current plans to use cloud services."

IT modernization is currently the top driver of public cloud adoption, followed by cost savings, innovation, agility and other benefits. The focus on IT modernization indicates a more sophisticated and strategic use of public cloud services. Not only are public cloud services being used to recognize the tactical benefits of cost savings and innovation, but they are also being used to establish a more modern IT environment — an environment that can serve as a strategic foundation for future applications and digital business processes.

Security and/or privacy concerns continue to be the top inhibitors to public cloud adoption, despite the strong security track record and increased transparency of leading cloud providers.

"Gartner's position on cloud security has been clear — public cloud services offered by the leading cloud providers are secure. The real security challenge is using public cloud services in a secure manner," said Ed Anderson, Research VP at Gartner. "More education is needed to help organizations overcome the hype associated with security concerns. This should be a key area of focus for providers in working with their clients to unlock the benefits of public cloud services."

Most organizations are already using a combination of cloud services from different cloud providers. While public cloud usage will continue to increase, the use of private cloud and hosted private cloud services is also expected to increase at least through 2017. The increased use of multiple public cloud providers, plus growth in various types of private cloud services, will create a multicloud environment in most enterprises and a need to coordinate cloud usage using hybrid scenarios.

Although hybrid cloud scenarios will dominate, there are many challenges that inhibit working hybrid cloud implementations. Organizations that are not planning to use hybrid cloud indicated a number of concerns, including: integration challenges, application incompatibilities, a lack of management tools, a lack of common APIs and a lack of vendor support.

"Of course in the case of hybrid cloud, these top concerns also highlight some of the top opportunities for providers," said Anderson. "We know that public cloud services will continue to grow. We also know that private cloud services (of various types) will become more widely used. Therefore, providers must focus on the top hybrid cloud challenges to be successful in meeting the growing demand for hybrid cloud solutions."

Pete Goldin is Editor and Publisher of APMdigest

Hot Topics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...