{"id":15555,"date":"2026-02-06T10:10:34","date_gmt":"2026-02-06T18:10:34","guid":{"rendered":"https:\/\/selectoraistg.wpengine.com\/?p=15555"},"modified":"2026-02-06T10:10:44","modified_gmt":"2026-02-06T18:10:44","slug":"key-takeaways-from-the-2025-gartner-market-guide-for-event-intelligence-solutions","status":"publish","type":"post","link":"https:\/\/www.selector.ai\/ja\/blog\/key-takeaways-from-the-2025-gartner-market-guide-for-event-intelligence-solutions\/","title":{"rendered":"Key Takeaways From the 2025 Gartner\u00ae Market Guide for Event Intelligence Solutions"},"content":{"rendered":"\n

The 2025 Gartner\u00ae Market Guide for Event Intelligence Solutions<\/a> reflects a shift in how IT operations leaders evaluate AI-driven technologies. As AI hype gives way to more practical evaluation, we are seeing a natural departure from broad promises about AI capabilities toward clearly defined use cases and outcomes. <\/p>\n\n\n\n

In their research, Gartner reframes the market formerly known as \u201cAIOps platforms\u201d as Event Intelligence Solutions (EIS), emphasizing correlation, context, and response over generic AI claims. While Gartner examines the evolving role of event intelligence in modern IT operations, we have identified five key takeaways in the market guide. This week, we will share Selector\u2019s perspective on how these ideas translate into real operational value. <\/p>\n\n\n\n

Selector is proud to have been identified as a Representative Vendor in the 2025 Gartner Market Guide for Event Intelligence Solution. You can read the full report here<\/a>. <\/p>\n\n\n\n

1. The Market is Resetting Expectations Around AIOps<\/h2>\n\n\n\n

What Gartner says: <\/strong><\/p>\n\n\n\n

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\u201cThe term AIOps has been widely adopted by vendors across multiple IT operations markets, often without a clear definition of, or consensus on, what it entails. This, coupled with the associated AI hype, has led to both confusion and disillusionment among infrastructure and operations (I&O) leaders, whose expectations have not been met.\u201d<\/p>\n<\/blockquote>\n\n\n\n

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\u201cThe renaming of this market from AIOps platforms to EIS serves to direct focus to the intended domain and set of use cases. Namely, the application of AI, ML and advanced analytics to cross-domain events from monitoring and observability tools to augment, accelerate and ultimately automate response.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Selector\u2019s perspective: <\/strong><\/p>\n\n\n\n

From our perspective, Gartner\u2019s reframing reflects a broader shift in how operations teams evaluate AI in practice. The challenge was never the potential of AI itself, but the lack of clarity around where and how it should be applied to deliver operational value. <\/p>\n\n\n\n

Selector was built with this distinction in mind. Rather than positioning AI as a standalone capability, we focus on applying intelligence to a specific operational domain: cross-domain events produced by monitoring and observability tools. The goal is not to \u201cadd AI\u201d to operations, but to help teams augment human decision-making, accelerate response, and progressively move toward automation in areas where confidence and process maturity allow. In other words, AI in and of itself is not the end goal; rather, it is a strategic enabler of the desired outcomes. <\/p>\n\n\n\n

We believe this approach mirrors Gartner\u2019s emphasis on use cases and outcomes over terminology. By focusing on event intelligence as a defined operational layer \u2014 rather than a broad, catch-all AIOps concept \u2014 Selector aims to help teams move past abstract AI promises and focus on measurable improvements in how incidents are understood and handled. <\/p>\n\n\n\n

2. Event Noise is the Core Operational Bottleneck<\/h2>\n\n\n\n

What Gartner says: <\/strong><\/p>\n\n\n\n

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\u201cIt is not unusual for larger enterprises to have portfolios of five to 50 tools for monitoring, each creating signals that must be correlated, triaged and responded to by IT operations teams.\u201d<\/p>\n<\/blockquote>\n\n\n\n

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\u201cOften cited by I&O leaders as the key, or only, driver for EIS implementation is this ability to reduce event volumes, in extreme cases this can result in a 95%+ reduction in events that require human intervention.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Selector\u2019s perspective: <\/strong><\/p>\n\n\n\n

We think Gartner\u2019s emphasis on event volume highlights a deeper operational issue: most teams are not overwhelmed because they lack alerts, but because they lack context to understand which signals matter and why. <\/p>\n\n\n\n

Selector approaches noise reduction as an outcome of correlation and reasoning, not as a standalone objective. By ingesting events across domains and analyzing their relationships, Selector helps teams distinguish between symptoms and underlying issues. Events that are causally related can be grouped and contextualized, allowing operators to focus on what requires attention rather than manually triaging large volumes of disconnected alerts. <\/p>\n\n\n\n

This approach reflects the idea that sustainable noise reduction should reduce cognitive load without obscuring important signals. Rather than simply suppressing alerts, Selector aims to help teams understand how events relate to one another, their impact, and where to begin investigating. <\/p>\n\n\n\n

3. Correlation and Context Drive Faster Resolution<\/h2>\n\n\n\n

What Gartner says: <\/strong><\/p>\n\n\n\n

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\u201cEIS correlate, group and reduce superfluous notifications from monitoring tools, reducing unnecessary human intervention. In addition, events are enriched with additional contextual information relating to, for example, topology, services, owner or priority.\u201d<\/p>\n<\/blockquote>\n\n\n\n

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\u201cEvents are additionally enriched with contextual information such as associated impacted business services, prior incidents, change records, owner and even suggested resolver group and remediation action. This correlation and enrichment dramatically reduces the time taken to triage, prioritize, assign and ultimately resolve an event.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Selector\u2019s perspective: <\/strong><\/p>\n\n\n\n

The way we see it, speed in incident response comes from shared understanding, not just faster alert handling. Correlation becomes most valuable when it explains how events relate to one another across domains and what those relationships mean operationally. <\/p>\n\n\n\n

Selector focuses on building and reasoning over live service topology and dependencies so that events can be interpreted in context. By linking events to affected services, historical incidents, and changes, Selector helps teams move more quickly from detection to probable cause, reducing the time spent manually assembling context across tools and teams. <\/p>\n\n\n\n

This approach is intended to support faster alignment during incidents. When operators can see how events connect, which services are affected, and where to begin the investigation, triage and resolution become more efficient and less reliant on ad hoc communication or escalation. <\/p>\n\n\n\n

4. GenAI is Useful, But Only When Grounded in Domain Data<\/h2>\n\n\n\n

What Gartner Says: <\/strong><\/p>\n\n\n\n

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\u201cEIS vendors have moved quickly to implement large language model (LLM)- and GenAI-based capabilities, the use cases of which are evolving at pace. Natural language summaries of ongoing issues, providing insights into their possible cause, business impact and next steps are targeted at less technical users.\u201d<\/p>\n<\/blockquote>\n\n\n\n

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\u201cThe next evolution of these capabilities promises to deliver ever more specialized and sophisticated agentic models targeting broader aspects of the event response and remediation process with expectations being set once again toward fully automated remediation.\u201d<\/p>\n<\/blockquote>\n\n\n\n

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\u201cAside from evaluating the accuracy and ability of GenAI to replace human toil, I&O teams are challenged by their ability to adapt their processes and roles and responsibilities in response to the technology. The successful impact of GenAI lies less in the technology itself than in the ability of I&O leaders to impart cultural change within their organizations necessary to embrace it.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Selector\u2019s Perspective: <\/strong><\/p>\n\n\n\n

To us, this looks like Gartner is highlighting a shift in how GenAI is expected to contribute to IT operations, moving away from isolated features toward more workflow-aware and agentic capabilities that support investigation, coordination, and response. <\/p>\n\n\n\n

At the same time, Gartner\u2019s emphasis on process and cultural readiness resonates with what we see in practice. While GenAI can reduce cognitive load through summarization and guidance, its impact depends on how well organizations adapt existing roles, workflows, and decision-making processes to incorporate these capabilities. <\/p>\n\n\n\n

Selector approaches GenAI as a progressive layer that supports operators at different stages of maturity. Early use cases often focus on augmentation, helping teams understand incidents, impact, and next steps more quickly. As confidence grows and processes evolve, these capabilities can expand toward more agentic behaviors that assist across the event response lifecycle, while keeping humans in control of critical decisions. <\/p>\n\n\n\n

To learn more about Gartner\u2019s position on Agentic AI in network operations and how Selector fits in, read our blog \u201cHow Agentic AI is Redefining Network Operations\u201d<\/a>. <\/p>\n\n\n\n

5. Event Intelligence is a Layer, Not a Replacement<\/h2>\n\n\n\n

What Gartner says: <\/strong><\/p>\n\n\n\n

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\u201cEvent intelligence solutions consolidate signals or events from a portfolio of monitoring tools in order to accelerate and automate response and resolution.\u201d<\/p>\n<\/blockquote>\n\n\n\n

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\u201cYour EIS exists within a portfolio of broader IT operation management tooling that extends from monitoring and observability to CMDB, ITSM and automation. Integration between these components is essential for successful implementation. Given the dependency on tools from adjacent markets, and the active convergence across these markets, I&O teams evaluating EIS should do so within this much broader context. I&O teams must create an IT operations tools portfolio architecture, which should include integrations across the components.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Selector\u2019s perspective: <\/strong><\/p>\n\n\n\n

Gartner\u2019s guidance reinforces the idea that event intelligence is most effective when it operates as a unifying layer across existing tools, rather than as a standalone replacement for them. Most organizations already rely on a diverse portfolio spanning monitoring, observability, ITSM, CMDB, and automation, and meaningful improvement depends on how well these components work together. <\/p>\n\n\n\n

Selector is designed to integrate across this broader ecosystem, ingesting signals from multiple sources and providing shared context that connects tools, teams, and workflows. This approach allows organizations to focus first on improving operational outcomes, such as faster response and clearer accountability, without forcing immediate decisions about consolidation or replacement. <\/p>\n\n\n\n

Over time, the intelligence gained through correlation and context can inform broader tool strategy. From our point of view, event intelligence helps teams make better-informed decisions about their IT operations architecture by revealing how existing investments interact and where optimization or consolidation may make sense. <\/p>\n\n\n\n

Conclusion<\/h2>\n\n\n\n

Taken together, the 2025 Gartner\u00ae Market Guide for Event Intelligence Solution<\/a>s shows how AI is being applied in IT operations today. What was once a world of broad, undefined promises is now about clearly scoped use cases that reduce toil, accelerate response, and support gradual progress toward automation. Across themes such as noise reduction, correlation and context, GenAI adoption, and architectural integration, we believe Gartner emphasizes that value comes from how intelligence, enabled by AI, is operationalized, not from the presence of AI alone.\u00a0<\/p>\n\n\n\n

In our experience, this framing aligns with the practical realities faced by operations teams managing complex, multi-tool environments. Event intelligence serves as a connective layer, bringing signals, context, and workflows together so teams can respond with greater clarity and confidence. As organizations reassess expectations around AI in operations, the focus shifts to execution: applying intelligence where it matters most and evolving capabilities in step with process and organizational readiness. <\/p>\n\n\n\n

Stay Connected<\/h2>\n\n\n\n

Selector is helping organizations move beyond legacy complexity toward clarity, intelligence, and control. Stay ahead of what\u2019s next in observability and AI for network operations: <\/p>\n\n\n\n