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Half of IT Decision Makers Regret In-House Infrastructure Purchases, Survey Says

Three in five IT and business decision makers agree that owning and operating in-house IT infrastructure drives costs higher and wastes resources, according to an annual study from Savvis, a CenturyLink company.

This view marks a sharp increase from 2010, when just 38 percent of IT decision makers attributed IT ownership to waste in resources and higher costs, and comes as nearly 60 percent of respondents now believe organizations must place the priority on outsourced infrastructure over traditional in-house services.

"This study reveals a significant shift in the way organizations analyze and approach IT services," said Bill Fathers, President of Savvis. "IT departments are now looking to strengthen collaboration, efficiency and competitive agility – and they're turning to secure, outsourced environments and cloud computing to help meet their objectives."

The report shows growing interest in outsourced infrastructure and cloud computing as means for freeing up budgets, fostering collaboration and operational efficiencies, and building competitive advantage.

Global highlights from the 2012 annual report indicate:

- Globally, organizations are now outsourcing just over 25 percent of their IT infrastructure. In five years, organizations expect to expand outsourcing to more than 40 percent of their IT services.

- More than half of all organizations admit to having IT equipment they now regret purchasing. The attitude is highest among U.S. respondents (66 percent), compared to 34 percent of respondents in Hong Kong and Singapore.

- 56 percent of surveyed IT executives keep most of their infrastructure in-house, with the practice more prevalent in Japan where 78 percent of respondents indicated reliance on in-house services.

- Forty-two percent of organizations that do not currently outsource all of their IT are most likely to name contractual obligations as the main reason for not outsourcing, indicating a major shift in thinking. In 2010 and 2011, company culture was the most common inhibitor.

- Momentum for cloud computing continues, as 85 percent of organizations today use private and public cloud for storage, big-data analytics and other applications. In 2010, just 39 percent of respondents said that their organizations were using cloud computing.

- The need for increased agility is leading half or more of the decision makers in the United States, Japan and the United Kingdom to boost the amount of infrastructure they outsource.

Savvis commissioned international research firm Vanson Bourne to conduct the survey among 550 IT and business decision makers in the United States, the United Kingdom, Germany, Japan, Hong Kong and Singapore. The study offers global insight from key industries, including finance, media and entertainment, retail, healthcare, software and automotive, on trends in IT outsourcing (ITO), adoption of cloud solutions and the costs of owning infrastructure. This is the fourth consecutive year that Vanson Bourne has conducted a survey for Savvis.

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 ...

Half of IT Decision Makers Regret In-House Infrastructure Purchases, Survey Says

Three in five IT and business decision makers agree that owning and operating in-house IT infrastructure drives costs higher and wastes resources, according to an annual study from Savvis, a CenturyLink company.

This view marks a sharp increase from 2010, when just 38 percent of IT decision makers attributed IT ownership to waste in resources and higher costs, and comes as nearly 60 percent of respondents now believe organizations must place the priority on outsourced infrastructure over traditional in-house services.

"This study reveals a significant shift in the way organizations analyze and approach IT services," said Bill Fathers, President of Savvis. "IT departments are now looking to strengthen collaboration, efficiency and competitive agility – and they're turning to secure, outsourced environments and cloud computing to help meet their objectives."

The report shows growing interest in outsourced infrastructure and cloud computing as means for freeing up budgets, fostering collaboration and operational efficiencies, and building competitive advantage.

Global highlights from the 2012 annual report indicate:

- Globally, organizations are now outsourcing just over 25 percent of their IT infrastructure. In five years, organizations expect to expand outsourcing to more than 40 percent of their IT services.

- More than half of all organizations admit to having IT equipment they now regret purchasing. The attitude is highest among U.S. respondents (66 percent), compared to 34 percent of respondents in Hong Kong and Singapore.

- 56 percent of surveyed IT executives keep most of their infrastructure in-house, with the practice more prevalent in Japan where 78 percent of respondents indicated reliance on in-house services.

- Forty-two percent of organizations that do not currently outsource all of their IT are most likely to name contractual obligations as the main reason for not outsourcing, indicating a major shift in thinking. In 2010 and 2011, company culture was the most common inhibitor.

- Momentum for cloud computing continues, as 85 percent of organizations today use private and public cloud for storage, big-data analytics and other applications. In 2010, just 39 percent of respondents said that their organizations were using cloud computing.

- The need for increased agility is leading half or more of the decision makers in the United States, Japan and the United Kingdom to boost the amount of infrastructure they outsource.

Savvis commissioned international research firm Vanson Bourne to conduct the survey among 550 IT and business decision makers in the United States, the United Kingdom, Germany, Japan, Hong Kong and Singapore. The study offers global insight from key industries, including finance, media and entertainment, retail, healthcare, software and automotive, on trends in IT outsourcing (ITO), adoption of cloud solutions and the costs of owning infrastructure. This is the fourth consecutive year that Vanson Bourne has conducted a survey for Savvis.

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 ...