Skip to main content

Companies Embrace AIOps as Strategic Imperative

Businesses are embracing artificial intelligence (AI) technologies to improve network performance and security, according to a new State of AIOps Study, conducted by ZK Research and Masergy.


The survey results demonstrate strong AIOps (AI for IT Operations) technology adoption rates and reveal a heightened level of confidence and trust as companies invest in AI to make their IT operations smarter, faster, and more secure.

"While digital transformation was already in motion prior to the pandemic, work-from-home (WFH) business models demand a whole new level of application performance and security measures to power and protect multi-cloud and hybrid work environments with no physical boundaries," said Terry Traina, CTO of Masergy. "The study reinforces that we are at a pivotal moment where automation and AIOps are no longer a nice to have but rather a strategic imperative for successful, secure business operations."

Key findings from the survey include:

More than half (64%) of companies surveyed are already using AIOps, with 55% using it across both network and security.

Moreover, 94% believe it is important or very important for AIOps to manage network and cloud application performance.

With more employees using third-party cloud applications from numerous locations and devices, IT leaders, tasked with securing corporate information everywhere, can't afford to trade WFH flexibility and performance for security. In fact, they are using AIOps to help manage those tradeoffs. The reasons companies use AIOps are tightly intertwined with network operational efficiencies, faster security threat identification, and faster security threat response reported as the top three.

"The vast majority of IT leaders have already embraced AIOps, and they're pointing to benefits such as productivity, cloud application performance, and security improvements," said Zeus Kerravala, founder and principal analyst, ZK Research. "Clearly, the business value of AIOps is justified. The era of AIOps is here, and anyone without a strategy will quickly be left behind."

More than two-thirds (73%) of survey participants identified software-defined network modernization and virtualization as the top IT investment required to prepare for AIOps. Today's businesses see SD-WAN's virtualization and orchestration benefits valuable in managing distributed networks and security policies. In fact, most businesses are putting more assets in the cloud, with 67% citing cloud migration as another top investment making them AI-ready.

A resounding majority (84%) see AIOps as the path to a fully automated network environment, with 86% expecting to have a fully automated network within 5 years.

Asked about the confidence they have in trusting AIOps tools to act on their own recommendations and create fully automated systems, 97% of respondents are confident they can be trusted.

Additionally 77% agree that AIOps performs better with a secure access service edge (SASE) architecture, where SD-WAN and security are all in one platform.

"A new wave of opportunity comes when SASE and AIOps unite in a single solution," said Traina. "IT executives need overarching insights where AI is deeply embedded into a unified platform, and this is precisely how Masergy is helping our customers transform with certainty."

Methodology: ZK Research conducted the study in August 2021 on behalf of Masergy, surveying more than 500 IT decision makers in US headquartered businesses across seven industries.

Hot Topics

The Latest

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 ...

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 ...

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 ...

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 ...

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 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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...

Companies Embrace AIOps as Strategic Imperative

Businesses are embracing artificial intelligence (AI) technologies to improve network performance and security, according to a new State of AIOps Study, conducted by ZK Research and Masergy.


The survey results demonstrate strong AIOps (AI for IT Operations) technology adoption rates and reveal a heightened level of confidence and trust as companies invest in AI to make their IT operations smarter, faster, and more secure.

"While digital transformation was already in motion prior to the pandemic, work-from-home (WFH) business models demand a whole new level of application performance and security measures to power and protect multi-cloud and hybrid work environments with no physical boundaries," said Terry Traina, CTO of Masergy. "The study reinforces that we are at a pivotal moment where automation and AIOps are no longer a nice to have but rather a strategic imperative for successful, secure business operations."

Key findings from the survey include:

More than half (64%) of companies surveyed are already using AIOps, with 55% using it across both network and security.

Moreover, 94% believe it is important or very important for AIOps to manage network and cloud application performance.

With more employees using third-party cloud applications from numerous locations and devices, IT leaders, tasked with securing corporate information everywhere, can't afford to trade WFH flexibility and performance for security. In fact, they are using AIOps to help manage those tradeoffs. The reasons companies use AIOps are tightly intertwined with network operational efficiencies, faster security threat identification, and faster security threat response reported as the top three.

"The vast majority of IT leaders have already embraced AIOps, and they're pointing to benefits such as productivity, cloud application performance, and security improvements," said Zeus Kerravala, founder and principal analyst, ZK Research. "Clearly, the business value of AIOps is justified. The era of AIOps is here, and anyone without a strategy will quickly be left behind."

More than two-thirds (73%) of survey participants identified software-defined network modernization and virtualization as the top IT investment required to prepare for AIOps. Today's businesses see SD-WAN's virtualization and orchestration benefits valuable in managing distributed networks and security policies. In fact, most businesses are putting more assets in the cloud, with 67% citing cloud migration as another top investment making them AI-ready.

A resounding majority (84%) see AIOps as the path to a fully automated network environment, with 86% expecting to have a fully automated network within 5 years.

Asked about the confidence they have in trusting AIOps tools to act on their own recommendations and create fully automated systems, 97% of respondents are confident they can be trusted.

Additionally 77% agree that AIOps performs better with a secure access service edge (SASE) architecture, where SD-WAN and security are all in one platform.

"A new wave of opportunity comes when SASE and AIOps unite in a single solution," said Traina. "IT executives need overarching insights where AI is deeply embedded into a unified platform, and this is precisely how Masergy is helping our customers transform with certainty."

Methodology: ZK Research conducted the study in August 2021 on behalf of Masergy, surveying more than 500 IT decision makers in US headquartered businesses across seven industries.

Hot Topics

The Latest

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 ...

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 ...

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 ...

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 ...

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 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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...