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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These statistics blow away the outdated yet often-quoted statistic that an average minute of downtime costs $5,600 because, as it turns out, this information from 2014 hasn't been adjusted to reflect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

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In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...