The Current ITSM Trends
The focus is shifting away from pure ticket handling toward intelligent, proactive, and business-oriented service platforms. It is no longer just about responding effectively to problems, incidents, and change processes, but about creating holistic, intelligent service processes. A defining characteristic of this shift is the transition from reactivity to proactivity.
Overall, five key developments currently dominate ITSM:
- AI has evolved from a hype topic into a key component. This has progressed to the point where agentic AI automates entire service processes.
- Increasingly, the question is no longer whether organizations implement AI, but how they do so. Well-designed and sustainable AI initiatives require high data quality and strong governance.
- Instead of merely reacting to tickets, disruptions are increasingly prevented proactively.
- Traditional ITSM metrics such as Service Level Agreements (SLAs) are losing importance. Instead, the focus is shifting toward flexible, outcome-oriented service based on experience and individual needs.
- ITSM, ITOM, ITAM, and even cybersecurity platforms are increasingly integrated and share a common data foundation.
Below, we take a detailed look at the most important trends and developments shaping ITSM.
1. AI and Automation for More Efficient Workflows
AI and automation have now become core characteristics of ITSM. This is also demonstrated by EasyVista’s report “The Reality of ITSM in 2026“. According to the report, 37 percent of respondents rank the automation of IT workflows among their top three operational priorities, while only 5 percent state that they do not use AI for ITSM.
Among the most common AI use cases are:
- AI chatbots for user support
- Automation of repetitive tasks
- Continuous process improvement
However, hyperautomation and the use of agentic AI now represent an entirely new stage of development.
- Hyperautomation combines AI, process automation, machine learning, and decision engines to optimize processes holistically.
- Agentic AI, by contrast, refers to AI applications that act autonomously as agents, understand complex requests, and are capable of making decisions in real time.
As a result, the service desk is increasingly evolving from a reactive function into a provider of autonomous services. Gartner expects autonomous workflows to become one of the most significant changes in ITSM.
Examples of hyperautomation and agentic AI include:
- Automatic ticket classification
- Ticket routing and prioritization
- Workflow orchestration across multiple systems
- Self-healing standard issues
- Predictive analytics
According to Gartner, by 2028, 33 percent of enterprise software will include agentic AI. The research firm ranks it among the Top Technology Trends 2026.
2. AI Maturity and Governance
This trend builds directly on the previous one — in fact, it’s a prerequisite for that trend’s success — and has become especially relevant given how much clean data and functional processes matter for AI implementation.
Today, many organizations are no longer asking whether they should use AI in IT, but rather how they can do so safely and in a controlled manner. Since the underlying data and compliance have become critically important, many organizations are investing more heavily in governance instead of simply introducing as many AI capabilities as possible.
Key success factors include high data quality, a reliable Configuration Management Database (CMDB), and confidence scores for AI implementation. Human oversight also remains essential, with people continuously monitoring AI outputs and making adjustments whenever necessary.
Contrary to common assumptions, it is not AI hallucinations that primarily prevent organizations from using AI successfully. Instead, operational and organizational factors are the main obstacles.
The most common challenges include:
- Insufficient data protection
- Security concerns
- Challenging integration with existing systems
- Lack of AI-specific expertise
All of these findings are clearly confirmed by EasyVista’s report “The Reality of ITSM in 2026“. This shows that the greatest obstacles do not lie within AI itself, but within organizational and operational realities.
3. Enterprise Service Management (ESM) Gains Momentum
For several years now, ITSM vendors have increasingly been talking about Enterprise Service Management, meaning a stronger focus on service management across the entire enterprise rather than exclusively within IT.
What initially reflected mainly the vendors’ envisioned use cases is now increasingly becoming reality—and a clear market trend. Many organizations recognize that it makes sense to apply ITSM principles to areas such as HR, customer service, and facility management, and are consolidating previously separate solutions onto a single, centralized service management platform.
4. Proactivity Is Becoming the New Standard
Proactivity is often seen as a buzzword, an aspiration, or a long-term objective. In ITSM, however, it is increasingly becoming reality. Organizations no longer simply wait for users to report problems. Instead, modern platforms are increasingly able to detect issues themselves before users even notice or report them.
Predictive analytics, the correlation of events, and continuous IT infrastructure monitoring play a decisive role in making this possible. The result is lower ticket volumes and reduced downtime.
5. Employee Experience Becomes the Central Metric
Traditionally, Service Level Agreements (SLAs) define the relationship between service providers and service consumers. For example, they guarantee specific service availability and resolution times. If SLAs are met, as is often indicated by the closure of a ticket, everything appears formally satisfactory.
However, the delivered service may still leave affected employees dissatisfied, for example because the solution was too limited or addressed only part of the problem. As a result, organizations are no longer relying exclusively on SLAs and are increasingly introducing XLAs (Experience Level Agreements) as either a complement or an alternative.
At the same time, satisfaction scores and AI-powered sentiment analysis, which gauge how service recipients feel, are becoming increasingly important.
6. Cybersecurity Becomes an Integral Part of ITSM
Service management and cybersecurity strategy are becoming increasingly intertwined. According to EasyVista’s report “The Reality of ITSM in 2026,” 46 percent of surveyed organizations consider improving IT security to be their highest priority. At the same time, 39 percent identify security and compliance requirements as the greatest obstacle to efficient IT services.
Today, stronger security is achieved primarily through integrated tools and the close alignment of ITSM and cybersecurity. The current trend therefore points toward consolidation rather than the adoption of an ever-growing number of tools. One example of this close integration between cybersecurity and ITSM is OTRS’ cyber defense solution STORM.
Many organizations are currently reducing the number of tools they use, citing high administrative overhead from tool sprawl and an inability to respond quickly enough to incidents when relying on too many tools at once.
The Future of ITSM
No one can make reliable predictions about the future. Nevertheless, it is reasonable to assume that the term ITSM itself will gradually lose importance, while related concepts such as Enterprise Service Management (ESM), Service Experience Platforms (SXP), and Service Operations will increasingly take its place.
This evolution goes hand in hand with the transition toward enterprise-wide applications, a stronger focus on experience-driven service, and the more advanced implementation of AI and automation. Organizations will require platforms capable of intelligently managing service operations, continuously optimizing them, and aligning them with business objectives.
Overall, the role of people in service management processes will shift significantly. On the service provider side, organizations are expected to move away from human-driven processes toward extensive automation and the broader use of AI agents. For service consumers, on the other hand, human-centered experiences will become increasingly important. In the future, interactions must become more than simple tickets; they must serve as meaningful touchpoints that shape the overall experience.
In other words, user satisfaction will become the highest priority.
Guiding Principles of Next-Generation ITSM
The developments outlined above allow us to derive several principles that will most likely characterize the future of ITSM and service processes in general:
- Autonomous instead of merely automated: Systems no longer simply execute predefined rules but make independent decisions within clearly defined boundaries.
- Business-centered instead of technology-centered: Priorities increasingly focus on business impact and user experience rather than treating technology as the primary driver, as was often the case in the past.
- Platform-centric approach: In the future, ITSM will become the framework that unifies IT, security and compliance, and other business functions on a single platform with a shared data and process foundation.
- Continuous improvement: AI uses operational data to continuously optimize processes.
The Most Important Trends in Detail
Zooming in from the bigger picture, several developments stand out that are likely to shape the future of ITSM.
Autonomous Service Management
First, service management will become significantly more autonomous, meaning that AI-powered systems will independently make routine decisions while providing comprehensive support to employees in their daily work. This ranges from the automatic resolution of (known) incidents and the implementation of standard changes to the autonomous prioritization of incidents and the scaling of cloud resources.
People will remain important, but increasingly for oversight, governance, and strategic control.
Collaboration Between Multiple AI Agents
Introducing AI gradually and assigning specialized tasks to individual AI applications is a sensible starting point. However, once organizations have deployed enough AI capabilities and AI agents, the next challenge will be enabling them to collaborate productively.
For example, an incident agent, a change agent, and a knowledge agent could interact to complete workflows quickly, comprehensively, and seamlessly. Following this principle, ITSM platforms will evolve into multi-agent systems. AI will no longer merely support operations; it will form a dense, interconnected network across the entire service ecosystem.
Significantly Fewer IT Tickets
Precisely because of this extensive automation, traditional ticket-based work will lose importance, even though this does not necessarily mean the end of IT tickets altogether.
Instead, so many issues will be detected automatically, resolved autonomously, and processed in the background that users will need to create dramatically fewer tickets.
AI-Driven Optimization
The idea that AI optimizes processes is not particularly new. What is innovative, however, is the starting point.
Until now, people have driven continuous improvement in ITSM while using AI merely as a supporting tool. In the future, AI itself could optimize workflows, improve approval processes, and even create knowledge articles autonomously.
The trend is clearly moving toward a self-optimizing ITSM system.
Business Value Becomes the Highest Priority
At the same time, ITSM has already been shifting away from purely technical metrics toward more business-oriented perspectives. This development will continue and become even more pronounced.
It is therefore only logical that metrics such as downtime and resolution times become less important than the revenue risks associated with outages, production losses caused by interrupted manufacturing processes, or reputational damage.
Digital Twins and Test Environments
It is also becoming increasingly easy to create comprehensive digital representations of existing IT environments.
The primary advantage of such a digital twin is that planned changes can be simulated realistically before actual implementation begins. This significantly reduces risk, allowing new processes to mature before they go live.
Independence from Service Portals
Until now, ITSM has largely revolved around service portals. However, because users work across so many applications at once, they increasingly expect that same flexibility from ITSM.
As a result, service delivery may increasingly take place wherever users already work, for example, directly within platforms such as Slack or Microsoft Teams.
Conclusion: ITSM Is Undergoing a Fundamental Transformation
The only constant is change, and nowhere is this more evident than in ITSM. As in many other fields, AI is becoming increasingly established, but here it finds exceptionally fertile ground: the strong emphasis on structured processes and best practices aligns perfectly with automation and AI initiatives.
At the same time, several other powerful trends are reshaping ITSM, including the growing focus on experience, the shift toward comprehensive platforms, and the move from reactive to proactive service delivery.
These changes are so significant that even the term ITSM itself no longer appears to be a given. The concept of Enterprise Service Management (ESM) is steadily gaining broader acceptance and reflects the growing focus on enterprise-wide services. At the same time, because user experience is becoming increasingly important, the term Service Experience Platform (SXP) is also gaining traction.
Looking ahead, many of today’s observable trends are likely to become even more pronounced. Instead of isolated AI applications, organizations will most likely rely on broad networks of AI agents that operate with increasing autonomy. Likewise, the most important performance indicators will increasingly be driven by business outcomes rather than technical metrics.
The ITSM of the future will likely be defined by concepts such as experience, enterprise, and increasingly autonomous AI agents. One possible term that captures this vision, at least in part, might be: An agentic AI-powered Enterprise Service Experience Platform.