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Customer-Facing Incidents Increased by 43% During the Past Year

The average customer-facing incident takes nearly three hours to resolve (175 minutes) while the estimated cost of downtime is $4,537 per minute, meaning each incident can cost nearly $794,000, according to new research from PagerDuty.

As respondents' organizations saw an average of 25 high-priority/priority incidents in the last 12 months, the cumulative costs add up to just under $20 million per year, per organization.


Source: PagerDuty

"PagerDuty's global survey found that incidents have been driven by increased complexity, rapid expansion of digital services and insufficient investment in IT infrastructure maintenance," said Eric Johnson, CIO at PagerDuty. "The costs of these incidents are significant both financially and in lost consumer trust, which is why companies need to invest in automation to mitigate the risk and shorten the time an incident lasts. Investing in automation needs to be at the top of IT leaders' priority lists."

Other key findings of the data include:

■ Over half (59%) of IT leaders say that customer-impacting incidents have increased, growing by an average of 43% in the last 12 months.

■ 78% of IT leaders in travel say customer-impacting incidents have increased.

■ 68% of IT leaders in finance say customer-impacting incidents have increased.

■ Organizations with at least five manual processes in incident response incurred $30.4 million in annual costs of customer-facing outages vs. $16.8 million for those with at least five processes fully automated.

■ 69% of IT leaders say the board and management are failing to invest in protecting customer trust when outages occur.

■ Nearly a quarter (24%) of IT leaders reported outages negatively impacting share prices.

■ More than ⅓ (35%) of IT leaders have seen higher levels of employee burnout.

■ More than 70% of IT leaders report that remediation, mobilizing responders, collaboration between teams and internal communications with stakeholders are yet to be fully automated.

Digital incidents continue to rise in number, last longer and cost more, but organizations are also understanding the critical role automation can play. 86% of IT leaders surveyed say that their organization is making strides towards fully automating the end-to-end incident response process.

"Digital incidents occur, and front-line responders are too often hindered in their ability to resolve incidents quickly due to fragmented IT environments, inadequate processes and inability to identify the right responders," said Jeffrey Hausman, Chief Product Development Officer at PagerDuty. "Automation can be a key enabler in achieving resilience in these increasingly complex environments."

Methodology: The survey — of 500 IT leaders and decision-makers of companies with more than 1,000 employees responsible for IT operations from the US, UK and Australia — was conducted online between May 31, 2024 and June 6, 2024 by Censuswide on behalf of PagerDuty.

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Customer-Facing Incidents Increased by 43% During the Past Year

The average customer-facing incident takes nearly three hours to resolve (175 minutes) while the estimated cost of downtime is $4,537 per minute, meaning each incident can cost nearly $794,000, according to new research from PagerDuty.

As respondents' organizations saw an average of 25 high-priority/priority incidents in the last 12 months, the cumulative costs add up to just under $20 million per year, per organization.


Source: PagerDuty

"PagerDuty's global survey found that incidents have been driven by increased complexity, rapid expansion of digital services and insufficient investment in IT infrastructure maintenance," said Eric Johnson, CIO at PagerDuty. "The costs of these incidents are significant both financially and in lost consumer trust, which is why companies need to invest in automation to mitigate the risk and shorten the time an incident lasts. Investing in automation needs to be at the top of IT leaders' priority lists."

Other key findings of the data include:

■ Over half (59%) of IT leaders say that customer-impacting incidents have increased, growing by an average of 43% in the last 12 months.

■ 78% of IT leaders in travel say customer-impacting incidents have increased.

■ 68% of IT leaders in finance say customer-impacting incidents have increased.

■ Organizations with at least five manual processes in incident response incurred $30.4 million in annual costs of customer-facing outages vs. $16.8 million for those with at least five processes fully automated.

■ 69% of IT leaders say the board and management are failing to invest in protecting customer trust when outages occur.

■ Nearly a quarter (24%) of IT leaders reported outages negatively impacting share prices.

■ More than ⅓ (35%) of IT leaders have seen higher levels of employee burnout.

■ More than 70% of IT leaders report that remediation, mobilizing responders, collaboration between teams and internal communications with stakeholders are yet to be fully automated.

Digital incidents continue to rise in number, last longer and cost more, but organizations are also understanding the critical role automation can play. 86% of IT leaders surveyed say that their organization is making strides towards fully automating the end-to-end incident response process.

"Digital incidents occur, and front-line responders are too often hindered in their ability to resolve incidents quickly due to fragmented IT environments, inadequate processes and inability to identify the right responders," said Jeffrey Hausman, Chief Product Development Officer at PagerDuty. "Automation can be a key enabler in achieving resilience in these increasingly complex environments."

Methodology: The survey — of 500 IT leaders and decision-makers of companies with more than 1,000 employees responsible for IT operations from the US, UK and Australia — was conducted online between May 31, 2024 and June 6, 2024 by Censuswide on behalf of PagerDuty.

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Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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