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The Two Faces of IT Service Management

Dennis Drogseth

EMA recently completed some research looking at the future of IT Service Management (ITSM). We solicited responses to about 270 people overall, with roughly 150 in North America and 100 in Europe (England, Germany, France). The results just came in two weeks ago, and I’d like to share a few highlights with you here.

But first, I should probably start out with one question we didn’t ask — "What is IT Service Management?"

Probably the most frequent industry answer is that ITSM is a "process-based practice designed to align the delivery of IT services with the needs of IT customers and the business IT serves." As a result, many ITSM descriptions spend a great deal of time looking at IT Infrastructure Library (ITIL) roots for ITSM, as well as other best practices focused on process. However, this research approached ITSM from a triangle of perspectives. We recognized the importance of technology and organization, as well as process (including dialog and communication).

Beyond that, even before we launched our questionnaire, it became apparent from talking around the industry that IT Service Management is a term that carries a diverse identity — depending on whom you talk to (in role and organization), history and IT-related politics.

On the one hand, ITSM is often linked to old-guard values associated with elaborate, time-consuming processes for managing change and traditional forms of governance that slow down IT resilience in the face of shifting business pressures and demands.

On the other hand, ITSM is often viewed as a dynamic center for expanding IT value, impact and effectiveness in support of broader business requirements — in combination with operations, development and business stakeholders.

Can both views be right? It depends upon whom you ask. But overall, our data tended to favor the second, more positive perspective on ITSM. Here are just a few highlights:

■ Nearly 50% of ITSM organizations were slated for growth, and 35% remain the same size.

■ Improved user experience management and integrated operations for incident, problem and change management led in ITSM strategic priorities.

■ Self-service, project management and CMDB/CMS/ADDM led in functional priorities.

■ 55% viewed big data/analytics for IT as a shared ITSM and operations priority, while 14% viewed ITSM as the lead in analytics.

■ 63% were using mobile in support of ITSM professionals.

■ 50% offered mobile support for ITSM/consumer interactions.

■ Only 20% had no plans to integrate ITSM and DevOps (agile).

■ 43% were actively using ITIL best practices, and of these, 71% viewed it as "essential" or "very important" for their organization.

■ Only 11% had no plans to consolidate ITSM outreach to support enterprise (non-IT) services.

When looking at success rates, we also analyzed the data to contrast how the 16% "extremely successful" performed, versus the 12% combined "somewhat successful" and "largely unsuccessful" respondents. (Most viewed themselves, perhaps a tad optimistically, as "very successful" or simply "successful".)

Compared to that 12% with marginal success rates, extremely successful ITSM initiatives were:

■ 2X more likely to have a CMDB/CMS-related technology deployed

■ Nearly 8X more likely to have ADDM deployed or in plan

■ 2X more likely to be leveraging mobile for ITSM professionals

■ Far more likely to see cloud as a resource for expanding service desk capabilities

■ 20X more likely to view integrated ITSM and agile as "transformative"

■ Far more likely to have an integrated approach to support enterprise services

■ Significantly more likely to value ITIL

■ Much more likely to get an increase in budget

■ Nearly 2.5 times more likely to be slated for growth

These are just a few highlights from our overall success profile.

What this data suggests to me albeit I realize data is always open to interpretation, is several things. For starters, it shows me that our "progressives" are not abandoning ITSM processes and more established ITSM-related technologies such as CMDB systems and application discovery and dependency mapping, but instead are seeking more innovative approaches in their adoptions. The data also reflects a dramatic outreach to support mobile, cloud, agile and enterprise needs — some of which show astonishing uptake from levels just assessed two years ago when we looked at the changing role of the service desk.

What the future will bring is always open to interpretation, as well. But this research seems to indicate a clear trajectory that in many respects is ahead of existing "market thinking." A trajectory that underscores the need to bring process, workflow, automation and dialog between the service desk and the rest of IT into a far more unified whole than in the past. It also suggests that technologies like "big data for IT" — so often referred to as IT operations analytics — belongs as much to this shared mix of capabilities as trouble ticketing and workflow.

Needless to say, the role of culture, leadership and more effective process and dialog is probably an even more important part of ITSM transformation than pure technology adoption, and we looked at many of those issues, as well. So stay tuned. We’ll be doing a webinar with more information on April 7, and hopefully this will whet your appetite for more data and more insights. In the meantime, I welcome the chance to get some of your perspectives and ideas.

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The Two Faces of IT Service Management

Dennis Drogseth

EMA recently completed some research looking at the future of IT Service Management (ITSM). We solicited responses to about 270 people overall, with roughly 150 in North America and 100 in Europe (England, Germany, France). The results just came in two weeks ago, and I’d like to share a few highlights with you here.

But first, I should probably start out with one question we didn’t ask — "What is IT Service Management?"

Probably the most frequent industry answer is that ITSM is a "process-based practice designed to align the delivery of IT services with the needs of IT customers and the business IT serves." As a result, many ITSM descriptions spend a great deal of time looking at IT Infrastructure Library (ITIL) roots for ITSM, as well as other best practices focused on process. However, this research approached ITSM from a triangle of perspectives. We recognized the importance of technology and organization, as well as process (including dialog and communication).

Beyond that, even before we launched our questionnaire, it became apparent from talking around the industry that IT Service Management is a term that carries a diverse identity — depending on whom you talk to (in role and organization), history and IT-related politics.

On the one hand, ITSM is often linked to old-guard values associated with elaborate, time-consuming processes for managing change and traditional forms of governance that slow down IT resilience in the face of shifting business pressures and demands.

On the other hand, ITSM is often viewed as a dynamic center for expanding IT value, impact and effectiveness in support of broader business requirements — in combination with operations, development and business stakeholders.

Can both views be right? It depends upon whom you ask. But overall, our data tended to favor the second, more positive perspective on ITSM. Here are just a few highlights:

■ Nearly 50% of ITSM organizations were slated for growth, and 35% remain the same size.

■ Improved user experience management and integrated operations for incident, problem and change management led in ITSM strategic priorities.

■ Self-service, project management and CMDB/CMS/ADDM led in functional priorities.

■ 55% viewed big data/analytics for IT as a shared ITSM and operations priority, while 14% viewed ITSM as the lead in analytics.

■ 63% were using mobile in support of ITSM professionals.

■ 50% offered mobile support for ITSM/consumer interactions.

■ Only 20% had no plans to integrate ITSM and DevOps (agile).

■ 43% were actively using ITIL best practices, and of these, 71% viewed it as "essential" or "very important" for their organization.

■ Only 11% had no plans to consolidate ITSM outreach to support enterprise (non-IT) services.

When looking at success rates, we also analyzed the data to contrast how the 16% "extremely successful" performed, versus the 12% combined "somewhat successful" and "largely unsuccessful" respondents. (Most viewed themselves, perhaps a tad optimistically, as "very successful" or simply "successful".)

Compared to that 12% with marginal success rates, extremely successful ITSM initiatives were:

■ 2X more likely to have a CMDB/CMS-related technology deployed

■ Nearly 8X more likely to have ADDM deployed or in plan

■ 2X more likely to be leveraging mobile for ITSM professionals

■ Far more likely to see cloud as a resource for expanding service desk capabilities

■ 20X more likely to view integrated ITSM and agile as "transformative"

■ Far more likely to have an integrated approach to support enterprise services

■ Significantly more likely to value ITIL

■ Much more likely to get an increase in budget

■ Nearly 2.5 times more likely to be slated for growth

These are just a few highlights from our overall success profile.

What this data suggests to me albeit I realize data is always open to interpretation, is several things. For starters, it shows me that our "progressives" are not abandoning ITSM processes and more established ITSM-related technologies such as CMDB systems and application discovery and dependency mapping, but instead are seeking more innovative approaches in their adoptions. The data also reflects a dramatic outreach to support mobile, cloud, agile and enterprise needs — some of which show astonishing uptake from levels just assessed two years ago when we looked at the changing role of the service desk.

What the future will bring is always open to interpretation, as well. But this research seems to indicate a clear trajectory that in many respects is ahead of existing "market thinking." A trajectory that underscores the need to bring process, workflow, automation and dialog between the service desk and the rest of IT into a far more unified whole than in the past. It also suggests that technologies like "big data for IT" — so often referred to as IT operations analytics — belongs as much to this shared mix of capabilities as trouble ticketing and workflow.

Needless to say, the role of culture, leadership and more effective process and dialog is probably an even more important part of ITSM transformation than pure technology adoption, and we looked at many of those issues, as well. So stay tuned. We’ll be doing a webinar with more information on April 7, and hopefully this will whet your appetite for more data and more insights. In the meantime, I welcome the chance to get some of your perspectives and ideas.

Hot Topics

The Latest

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...