For years, network operations teams have relied on monitoring tools to answer a familiar set of questions: Is the network up? Where is performance degrading? What broke?
But as AI-powered applications move into production, cloud and hybrid environments grow more complex, and security risks accelerate, those questions are no longer enough.
According to recent Omdia research, network observability has crossed a critical threshold. It’s no longer just about visibility – it’s becoming the intelligence layer that underpins modern IT operations.
Network Observability has Become Mission-Critical
Omdia’s findings are clear: as AI-driven applications increase dependency on the network, organizations overwhelmingly agree that network observability is now essential to business operations.
The reason is simple. Networks are no longer static transport layers. They are dynamic, distributed systems spanning on-prem, cloud, WAN, and containerized environments, often outside direct ownership or control. When something goes wrong, the network is frequently the first place symptoms appear, even if it’s not the root cause.
This reality is forcing a shift:
- From reactive troubleshooting to proactive insight
- From isolated tools to shared operational context
- From “monitoring health” to understanding impact
AI is Already Reshaping Network Operations
One of the most significant shifts highlighted in the research is how quickly AI has moved from experimentation to mainstream adoption in network observability.
Organizations are already using AI to:
- Optimize network performance
- Identify security threats and anomalies
- Accelerate troubleshooting and root cause analysis
- Recognize issues before users are impacted
Perhaps most telling, most respondents say AI-powered observability is meeting or exceeding expectations across these use cases. The question has shifted from “Will AI be relevant?” to “How do we operationalize it?”
This is where network observability begins to evolve from a passive reporting tool into an active decision-support system, reducing manual effort and enabling faster, more confident action.
Observability is Driving NetOps and SecOps Convergence
Another major theme in the research is the growing convergence between network and security operations.
Omdia found that:
- The majority of organizations view sharing observability data between NetOps and SecOps as essential
- Most report ongoing collaboration enabled by network observability platforms
Network data provides early indicators of suspicious behavior, lateral movement, and performance anomalies that often precede security incidents. When network and security teams work from the same source of truth, incident response becomes faster, more accurate, and far less contentious.
In practice, this means network observability is becoming a pillar of NetSecOps collaboration, rather than a tool owned by a single team.
Complexity is the Enemy, and the Opportunity
Despite its growing importance, network observability remains challenging to implement at scale.
More than 80% of organizations report using three or more observability tools, often stitched together across domains, data types, and teams. Integration complexity, data fragmentation, and operational overhead continue to slow progress.
This is where automation—and increasingly, agentic AI, enters the picture.
Omdia’s research shows strong interest in agentic AI as a way to:
- Simplify integrations across tools and platforms
- Close skills gaps in resource-constrained teams
- Enable proactive and autonomous operational workflows
Rather than replacing engineers, agentic AI acts as a force multiplier, handling repetitive analysis, surfacing insights, and triggering actions so teams can focus on higher-value work.
From Monitoring to Intelligence
Taken together, these trends point to a clear evolution:
Network monitoring → network observability → network intelligence
Modern network operations require:
- Deep, end-to-end visibility across environments
- AI-driven insights that reduce noise and manual effort
- Shared context across NetOps, SecOps, and CloudOps
- Automation that turns insight into action
For organizations already investing in network observability, the opportunity now is not just to deploy tools, but to fully operationalize them in line with where the industry is headed.
The future of network operations isn’t just about seeing more.
It’s about understanding more, acting faster, and operating smarter.
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