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Gartner: Public Cloud Services Market to Grow 18 Percent in 2017

The worldwide public cloud services market is projected to grow 18 percent in 2017 to total $246.8 billion, up from $209.2 billion in 2016, according to Gartner, Inc.

The highest growth will come from cloud system infrastructure services (infrastructure as a service [IaaS]), which is projected to grow 36.8 percent in 2017 to reach $34.6 billion.

Cloud application services (software as a service [SaaS]) is expected to grow 20.1 percent to reach $46.3 billion .

"The overall global public cloud market is entering a period of stabilization, with its growth rate peaking at 18 percent in 2017 and then tapering off over the next few years," said Sid Nag, Research Director at Gartner. "While some organizations are still figuring out where cloud actually fits in their overall IT strategy, an effort to cost optimize and bring forth the path to transformation holds strong promise and results for IT outsourcing (ITO) buyers. Gartner predicts that through 2020, cloud adoption strategies will influence more than 50 percent of IT outsourcing deals."

"Organizations are pursuing strategies because of the multidimensional value of cloud services, including values such as agility, scalability, cost benefits, innovation and business growth," added Nag. "While all external-sourcing decisions will not result in a virtually automatic move to the cloud, buyers are looking to the 'cloud first' in their decisions, in support of time-to-value impact via speed of implementation."

The SaaS market is expected to see a slightly slower growth over the next few years with increasing maturity of SaaS offerings, namely human capital management (HCM) and customer relationship management (CRM) and the acceleration in the buying of financial applications. Nevertheless, SaaS will remain the second largest segment in the global cloud services market.

"As enterprise application buyers are moving toward a cloud-first mentality, we estimate that more than 50 percent of new 2017 large-enterprise North American application adoptions will be composed of SaaS or other forms of cloud-based solutions," said Nag. "Midmarket and small enterprises are even further along the adoption curve. By 2019, more than 30 percent of the 100 largest vendors' new software investments will have shifted from cloud-first to cloud-only."

Gartner predicts more cloud growth in the infrastructure compute service space as adoption becomes increasingly mainstream. Additional demand from the migration of infrastructure to the cloud and increased demand from increasingly compute-intensive workloads (such as artificial intelligence [AI], analytics and Internet of Things [IoT]) — both in the enterprise and startup spaces — are driving this growth. Furthermore, the growth of platform as a service (PaaS) is also driving the growth in adoption of IaaS.

From a regional perspective, China's IaaS cloud market forecast has been increased to account for anticipated higher buyer demand over the forecast period. In particular, the larger pure-play IaaS providers in China, as well as other telecom-related cloud providers driving this market, are reporting significant growth. While China's cloud service market is nascent and several years behind the U.S. and European markets, it is expected to maintain high levels of growth as digital transformation becomes more mainstream over the next five years.

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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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Gartner: Public Cloud Services Market to Grow 18 Percent in 2017

The worldwide public cloud services market is projected to grow 18 percent in 2017 to total $246.8 billion, up from $209.2 billion in 2016, according to Gartner, Inc.

The highest growth will come from cloud system infrastructure services (infrastructure as a service [IaaS]), which is projected to grow 36.8 percent in 2017 to reach $34.6 billion.

Cloud application services (software as a service [SaaS]) is expected to grow 20.1 percent to reach $46.3 billion .

"The overall global public cloud market is entering a period of stabilization, with its growth rate peaking at 18 percent in 2017 and then tapering off over the next few years," said Sid Nag, Research Director at Gartner. "While some organizations are still figuring out where cloud actually fits in their overall IT strategy, an effort to cost optimize and bring forth the path to transformation holds strong promise and results for IT outsourcing (ITO) buyers. Gartner predicts that through 2020, cloud adoption strategies will influence more than 50 percent of IT outsourcing deals."

"Organizations are pursuing strategies because of the multidimensional value of cloud services, including values such as agility, scalability, cost benefits, innovation and business growth," added Nag. "While all external-sourcing decisions will not result in a virtually automatic move to the cloud, buyers are looking to the 'cloud first' in their decisions, in support of time-to-value impact via speed of implementation."

The SaaS market is expected to see a slightly slower growth over the next few years with increasing maturity of SaaS offerings, namely human capital management (HCM) and customer relationship management (CRM) and the acceleration in the buying of financial applications. Nevertheless, SaaS will remain the second largest segment in the global cloud services market.

"As enterprise application buyers are moving toward a cloud-first mentality, we estimate that more than 50 percent of new 2017 large-enterprise North American application adoptions will be composed of SaaS or other forms of cloud-based solutions," said Nag. "Midmarket and small enterprises are even further along the adoption curve. By 2019, more than 30 percent of the 100 largest vendors' new software investments will have shifted from cloud-first to cloud-only."

Gartner predicts more cloud growth in the infrastructure compute service space as adoption becomes increasingly mainstream. Additional demand from the migration of infrastructure to the cloud and increased demand from increasingly compute-intensive workloads (such as artificial intelligence [AI], analytics and Internet of Things [IoT]) — both in the enterprise and startup spaces — are driving this growth. Furthermore, the growth of platform as a service (PaaS) is also driving the growth in adoption of IaaS.

From a regional perspective, China's IaaS cloud market forecast has been increased to account for anticipated higher buyer demand over the forecast period. In particular, the larger pure-play IaaS providers in China, as well as other telecom-related cloud providers driving this market, are reporting significant growth. While China's cloud service market is nascent and several years behind the U.S. and European markets, it is expected to maintain high levels of growth as digital transformation becomes more mainstream over the next five years.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.