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itSMF USA Releases New Study on Service Management Adoption

itSMF USA has released the results of a new IT service management study. The study, conducted this year in partnership with Forrester Research, was created to help guide infrastructure and operations professionals through a better understanding of people, process and technology trends and best practices.

The study focused on current and future adoption of IT service management principles, including effective ITIL practices in use amongst itSMF USA’s member base. The resulting report, The State Of IT Service Management In 2011, was published by Forrester Research, Inc.

The study addressed a range of current topics for IT today, including the role of IT service management in bridging the gap between application and infrastructure teams, the level of ITIL process adoption and their relationship to benefits realized, the role of training and certification in adoption, the effect of executive sponsorship level on both adoption and benefits realized, the adoption and impact of ITIL v3 and the impact of tools on ITSM adoption.

“Data was collected from 491 qualified ITSM professionals who are heavily involved in ITSM efforts. The results clearly offer empirical evidence that ITSM offers significant benefits to the organizations and to themselves“, said Doug Tedder, President-Elect of itSMF USA.

Some insights from the research:

• The adoption of IT infrastructure library (ITIL)-based programs and certifications are mainstream, with IT service quality, productivity, and reputation with business leaders significantly enhanced because of it.

• More work needs to be done on certain execution elements, most notably change management. Execution still causes too many incidents. About 70% of all incidents are the result of a change. 58% of the subjects say over 10% of their incidents are caused by change. 25% are excessive (over 40% of incidents) and a beleaguered 22% don’t know. SaaS is viewed very favorably as a service desk software delivery option. 96% were satisfied or very satisfied with SaaS, whereas the numbers for traditional software models and homebrewed tools all hovered around 70%.

• Despite some dissatisfaction with service desk, buyers are unlikely to switch vendors. 57% said they would not switch and 21% said they would. 22% did not know.

• The anchor-boutique “shopping mall” model for management tools seems popular. Major
vendors are well entrenched, but 37% will fill gaps in their portfolios with smaller boutique
vendors.

• 51% of ITSM efforts are driven primarily by IT or business executives.

• ITIL has had an overwhelming positive impact on organizational productivity: 85% positive and 2% negative

• 70% received a positive salary increase in the past year with 31% over 5% (The general US population fell and general IT salaries were flat.)

• 77% indicated a positive relationship between their Application Development and Operations teams. This indicates DevOps success is far stronger in ITSM-focused organizations than in the general enterprise.

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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 ...

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 ...

itSMF USA Releases New Study on Service Management Adoption

itSMF USA has released the results of a new IT service management study. The study, conducted this year in partnership with Forrester Research, was created to help guide infrastructure and operations professionals through a better understanding of people, process and technology trends and best practices.

The study focused on current and future adoption of IT service management principles, including effective ITIL practices in use amongst itSMF USA’s member base. The resulting report, The State Of IT Service Management In 2011, was published by Forrester Research, Inc.

The study addressed a range of current topics for IT today, including the role of IT service management in bridging the gap between application and infrastructure teams, the level of ITIL process adoption and their relationship to benefits realized, the role of training and certification in adoption, the effect of executive sponsorship level on both adoption and benefits realized, the adoption and impact of ITIL v3 and the impact of tools on ITSM adoption.

“Data was collected from 491 qualified ITSM professionals who are heavily involved in ITSM efforts. The results clearly offer empirical evidence that ITSM offers significant benefits to the organizations and to themselves“, said Doug Tedder, President-Elect of itSMF USA.

Some insights from the research:

• The adoption of IT infrastructure library (ITIL)-based programs and certifications are mainstream, with IT service quality, productivity, and reputation with business leaders significantly enhanced because of it.

• More work needs to be done on certain execution elements, most notably change management. Execution still causes too many incidents. About 70% of all incidents are the result of a change. 58% of the subjects say over 10% of their incidents are caused by change. 25% are excessive (over 40% of incidents) and a beleaguered 22% don’t know. SaaS is viewed very favorably as a service desk software delivery option. 96% were satisfied or very satisfied with SaaS, whereas the numbers for traditional software models and homebrewed tools all hovered around 70%.

• Despite some dissatisfaction with service desk, buyers are unlikely to switch vendors. 57% said they would not switch and 21% said they would. 22% did not know.

• The anchor-boutique “shopping mall” model for management tools seems popular. Major
vendors are well entrenched, but 37% will fill gaps in their portfolios with smaller boutique
vendors.

• 51% of ITSM efforts are driven primarily by IT or business executives.

• ITIL has had an overwhelming positive impact on organizational productivity: 85% positive and 2% negative

• 70% received a positive salary increase in the past year with 31% over 5% (The general US population fell and general IT salaries were flat.)

• 77% indicated a positive relationship between their Application Development and Operations teams. This indicates DevOps success is far stronger in ITSM-focused organizations than in the general enterprise.

Hot Topic

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 ...