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Diving Into the True Costs of IT Outages

Adam Blau
BigPanda

There are two words that strike fear in every IT professional: "unplanned outage." These come with a steep price tag: A recent report, The Modern IT Outage: Costs, Causes and Cures, found that downtime due to unplanned outages costs businesses $12,900 per minute. Breaking that statistic down further, the report revealed significant differences among companies of different sizes relating to downtime. For example, the outage cost per minute in an organization of 1,000 to 2,500 employees is $1,850, while the outage cost per minute in a larger company of 20,000 employees is $25,402 on average.

These statistics blow away the outdated yet often-quoted statistic that an average minute of downtime costs $5,600 because, as it turns out, this information from 2014 hasn't been adjusted to reflect the real and nuanced costs of a modern IT outage. Here, we dive deeper into this recent research so ITOps organizations can gain a better understanding of downtime's impact, causes and remedies.

Cost Factors and Causes

While we tend to think lost revenue is the biggest cost casualty of an outage, "The Modern IT Outage: Costs, Causes and ‘Cures'" found that that simply isn't the case. In fact, "business disruption" and "impact on employee activity" tie for the top spot, while "lost revenue" was tied for third, along with "data breach" and "governance regulatory exposure." Also on the list are "reputation" and "hit to DevOps/SRE productivity." These came in fourth and fifth, respectively.


A full 41% of organizations suffer an outage at least monthly, a significant number. And these outages take an hour to repair on average.


As for the outage causes, the report found important differences among organizations in two categories: those that have enterprise-wide, mature artificial intelligence for IT operations (AIOps) and those that are implementing AIOps on a departmental basis. The organizations in the first category had tamed unplanned outages for the most part and only struggled with external factors such as power outages or internet provider failure that are outside the organization's control. Those in the second category primarily suffered change and configuration issues and human error — factors that are very much in the organization's control — and therefore ready for being mitigated with the power of AI and automation.


AIOps and the Road to Better Outcomes

IT leaders' thoughts on how the future looks relative to outage costs aren't optimistic. In fact, for some, the mood is downright fatalistic, with 36% believing that increased outage costs are guaranteed.

Still, some are hopeful, and AIOps plays a part here: The survey found that 22% of respondents say that rising costs are avoidable and they plan to use AIOps and automation to stem them. Another 13% of respondents reported that proactive systems have allowed them to actually decrease outage costs. With this proof of AIOps' success, the more pessimistic IT leaders can keep their chins up.

There is no way to apply a surefire "cure" for IT outages in any organization, but AIOps and automation come close. Not only do they help minimize the costs and impact of outages, but they also are proven to reduce the number of outages, improve business process efficiencies, decrease war-room frequency, and much, much more. With AIOps and automation in their arsenal, IT professionals can rest a little easier knowing they have powerful weapons to use in their battle against the dreaded unplanned outage downtime.

Adam Blau is Senior Director of Product Marketing at BigPanda

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Diving Into the True Costs of IT Outages

Adam Blau
BigPanda

There are two words that strike fear in every IT professional: "unplanned outage." These come with a steep price tag: A recent report, The Modern IT Outage: Costs, Causes and Cures, found that downtime due to unplanned outages costs businesses $12,900 per minute. Breaking that statistic down further, the report revealed significant differences among companies of different sizes relating to downtime. For example, the outage cost per minute in an organization of 1,000 to 2,500 employees is $1,850, while the outage cost per minute in a larger company of 20,000 employees is $25,402 on average.

These statistics blow away the outdated yet often-quoted statistic that an average minute of downtime costs $5,600 because, as it turns out, this information from 2014 hasn't been adjusted to reflect the real and nuanced costs of a modern IT outage. Here, we dive deeper into this recent research so ITOps organizations can gain a better understanding of downtime's impact, causes and remedies.

Cost Factors and Causes

While we tend to think lost revenue is the biggest cost casualty of an outage, "The Modern IT Outage: Costs, Causes and ‘Cures'" found that that simply isn't the case. In fact, "business disruption" and "impact on employee activity" tie for the top spot, while "lost revenue" was tied for third, along with "data breach" and "governance regulatory exposure." Also on the list are "reputation" and "hit to DevOps/SRE productivity." These came in fourth and fifth, respectively.


A full 41% of organizations suffer an outage at least monthly, a significant number. And these outages take an hour to repair on average.


As for the outage causes, the report found important differences among organizations in two categories: those that have enterprise-wide, mature artificial intelligence for IT operations (AIOps) and those that are implementing AIOps on a departmental basis. The organizations in the first category had tamed unplanned outages for the most part and only struggled with external factors such as power outages or internet provider failure that are outside the organization's control. Those in the second category primarily suffered change and configuration issues and human error — factors that are very much in the organization's control — and therefore ready for being mitigated with the power of AI and automation.


AIOps and the Road to Better Outcomes

IT leaders' thoughts on how the future looks relative to outage costs aren't optimistic. In fact, for some, the mood is downright fatalistic, with 36% believing that increased outage costs are guaranteed.

Still, some are hopeful, and AIOps plays a part here: The survey found that 22% of respondents say that rising costs are avoidable and they plan to use AIOps and automation to stem them. Another 13% of respondents reported that proactive systems have allowed them to actually decrease outage costs. With this proof of AIOps' success, the more pessimistic IT leaders can keep their chins up.

There is no way to apply a surefire "cure" for IT outages in any organization, but AIOps and automation come close. Not only do they help minimize the costs and impact of outages, but they also are proven to reduce the number of outages, improve business process efficiencies, decrease war-room frequency, and much, much more. With AIOps and automation in their arsenal, IT professionals can rest a little easier knowing they have powerful weapons to use in their battle against the dreaded unplanned outage downtime.

Adam Blau is Senior Director of Product Marketing at BigPanda

The Latest

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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 ...