- According to a Splunk study, the average Global 2000 company faces a cost of $15,000 per minute after an incident or outage.
- Customers are often the first to notice an incident, which seriously damages their reputation.
- While many attacks falsely identify IT problems, greater observability is needed
New data from Splunk indicates that unplanned downtime now costs Global 2000 companies approximately $600 billion each year, representing a 50% increase over the past two years.
Splunk said the average G2000 enterprise faces a per-minute cost of $15,000 during an outage, which translates to an average annual revenue loss of $95 million.
But the costs go far beyond just revenue, with the average company experiencing a 3.4% drop in stock price. Regulatory fines also average a not-insignificant $51 million, the company revealed.
The hidden costs of downtime
Serious cyberattacks continue to rise, with high-profile incidents like those at M&S and Jaguar Land Rover in 2025 grabbing headlines, but it’s not just their frequency that’s increasing. It also comes with costs, with the average ransomware payout nearly tripling since 2024 to $40 million.
One of the least quantifiable outcomes is loss of brand reputation, with half (47%) of technology leaders revealing that customers are among the first to notice service outages. Four in five (81%) believe this leads to a loss of customers.
Then there’s the human resources needed to fix the problems: one in five marketers say it takes them an entire quarter to get back to where they were before.
Time to resolution is another issue: a third (36%) of security leaders say downtime is often incorrectly attributed to an IT issue rather than a security breach, significantly slowing identification and resolution times.
“Downtime is inevitable,” said Kamal Hathi, executive vice president and general manager, but “extended downtime is not.”
Hathi believes that “aligning[ing] technology with business results, empower[ing] people with context and design[ing] “systems that bend, but don’t break, under pressure” often perform best, indicating a greater need for observability and context.
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