What is ServiceOps? A Research-Based Look at Why It's on the Rise

Valerie O'Connell
EMA

A working definition: ServiceOps is a technology-enabled approach to unifying IT service and IT operations management for excellence in delivery of digital business services.

Although the two teams have different charters and skillsets, IT service and IT operations are inextricable. There is no service without effective IT operations.

Reducing friction caused by overlap, gaps, conflicting organizational goals, and disjointed processes, ServiceOps is all about IT service to the business. It is people-centric, technology-enabled, and C-level endorsed. It's also on the rise.

Recent EMA field research found that ServiceOps is either an active effort or a formal initiative in 78% of the organizations represented by a global panel of 400+ IT leaders. It is relatively early but gaining momentum across industries and organizations of all sizes globally.

Benefiting IT service and operations equally, ServiceOps tends to be grassroots in origin, but is well supported and funded at the C-level. Both grassroots adoption and C-level support stem from the fact that ServiceOps directly addresses many of the highest-priority IT objectives and challenges, especially IT employee productivity, reduction in outage frequency/duration/impact, improved service, user experience, and cost-cutting.

ServiceOps runs on automation and AI/ML technology tracks already laid down in cross-functional workflows. Most of all, ServiceOps makes sense to the people doing the work because it is practical and slashes wasted time on both sides.

When EMA asked representatives from its global panel of ServiceOps leaders to rate its organizational impact, the results were almost universally positive.

What Impact Has ServiceOps Had on Your Organization?


In case anyone is wondering, participants were offered numerous less-than-positive responses. They don't show up on this chart because negative responses were simply not chosen.

ServiceOps has no downside. It uses technology that is already in place and well understood so additional investment is no impediment to adoption. Results are not only immediate, but important. Practitioners answered the question, "What are the results when service and operations are effectively unified (ServiceOps)?" with a virtual tie for first place:

■ Faster time to find and fix problems

■ Higher productivity and less wasted time

What organization doesn't want these results?

They are logical outcomes of ServiceOps, which turns out to be a codeword for effective collaboration and effortless cooperation.

A word about the name … there is no magic to the phrase "ServiceOps." It's not a product or a technology. It's not even a methodology. It's a common-sense use of existing resources toward a common goal, so the name doesn't matter. However, EMA anticipates that the name will become commonplace and well recognized because it is simple, and it accurately conveys its meaning in the same way that DevOps does for its sphere of function.

So, why does ServiceOps matter now?

■ It's happening now — either formally or informally

■ Its benefits can be amplified with organizational support and funding

■ Recognizing the trends and opportunities makes it possible to harness the momentum and maximize results

■ A chance to make a difference without disruption or tons of additional investment

■ The competition is moving forward

Details of this research and its findings are covered in a vendor-free webinar on April 4:Automation, AI, and the Rise of ServiceOps

Valerie O'Connell is EMA Research Director of Digital Service Execution

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What is ServiceOps? A Research-Based Look at Why It's on the Rise

Valerie O'Connell
EMA

A working definition: ServiceOps is a technology-enabled approach to unifying IT service and IT operations management for excellence in delivery of digital business services.

Although the two teams have different charters and skillsets, IT service and IT operations are inextricable. There is no service without effective IT operations.

Reducing friction caused by overlap, gaps, conflicting organizational goals, and disjointed processes, ServiceOps is all about IT service to the business. It is people-centric, technology-enabled, and C-level endorsed. It's also on the rise.

Recent EMA field research found that ServiceOps is either an active effort or a formal initiative in 78% of the organizations represented by a global panel of 400+ IT leaders. It is relatively early but gaining momentum across industries and organizations of all sizes globally.

Benefiting IT service and operations equally, ServiceOps tends to be grassroots in origin, but is well supported and funded at the C-level. Both grassroots adoption and C-level support stem from the fact that ServiceOps directly addresses many of the highest-priority IT objectives and challenges, especially IT employee productivity, reduction in outage frequency/duration/impact, improved service, user experience, and cost-cutting.

ServiceOps runs on automation and AI/ML technology tracks already laid down in cross-functional workflows. Most of all, ServiceOps makes sense to the people doing the work because it is practical and slashes wasted time on both sides.

When EMA asked representatives from its global panel of ServiceOps leaders to rate its organizational impact, the results were almost universally positive.

What Impact Has ServiceOps Had on Your Organization?


In case anyone is wondering, participants were offered numerous less-than-positive responses. They don't show up on this chart because negative responses were simply not chosen.

ServiceOps has no downside. It uses technology that is already in place and well understood so additional investment is no impediment to adoption. Results are not only immediate, but important. Practitioners answered the question, "What are the results when service and operations are effectively unified (ServiceOps)?" with a virtual tie for first place:

■ Faster time to find and fix problems

■ Higher productivity and less wasted time

What organization doesn't want these results?

They are logical outcomes of ServiceOps, which turns out to be a codeword for effective collaboration and effortless cooperation.

A word about the name … there is no magic to the phrase "ServiceOps." It's not a product or a technology. It's not even a methodology. It's a common-sense use of existing resources toward a common goal, so the name doesn't matter. However, EMA anticipates that the name will become commonplace and well recognized because it is simple, and it accurately conveys its meaning in the same way that DevOps does for its sphere of function.

So, why does ServiceOps matter now?

■ It's happening now — either formally or informally

■ Its benefits can be amplified with organizational support and funding

■ Recognizing the trends and opportunities makes it possible to harness the momentum and maximize results

■ A chance to make a difference without disruption or tons of additional investment

■ The competition is moving forward

Details of this research and its findings are covered in a vendor-free webinar on April 4:Automation, AI, and the Rise of ServiceOps

Valerie O'Connell is EMA Research Director of Digital Service Execution

Related Links

Hot Topics

The Latest

Escaping Pilot Purgatory: How AI Becomes an Operational Advantage

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 ...

Closing the Gap in Modern Tech and the Tools Meant to Monitor Them

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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Why FinOps Rewrote Its Mission and What It Signals for Technology Management

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 ...

Clearing the Path to AI: Why Vendor Consolidation Matters Now

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 ...

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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 ...

Observability at a Crossroads: AI, Economics, Complexity and the Enduring Power of Open Source

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 ...

Explainability Is the New Battleground in AI-Powered Observability

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 ...

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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 Scale Is Outpacing Infrastructure - and IT Leaders Are Running Out of Time

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.