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Execs Expect Major Incident in 2025 as Large as July Global IT Outage

Service disruptions remain a critical concern for IT and business executives, with 88% of respondents saying they believe another major incident will occur in the next 12 months, according to a study from PagerDuty.

The study's findings illustrate how critical it is for companies to implement efficient processes and strategies for preventing major incidents and mitigating damages, while maintaining customer trust.

In today's digitally connected world, IT outages can be caused by everything from cyberattacks to human error.

  • 86% of executives surveyed now realize that they have been prioritizing security at the expense of readiness for service disruptions, causing changes within the company. The reality is that a focus on preventing service disruptions, which can often be security-related, is imperative for organizations today. Preparedness in terms of people, process and culture is key to ensuring disruptions are minimized to limit revenue and reputational harm.
  • 83% of business and IT executives admitted that the July global IT outage caught them off guard, exposing gaps in their preparedness for service disruptions. 89% of executives in the UK, 84% in the US, 80% in Japan and 77% in Australia admit to being surprised by the disruptions.
  • Nearly half of IT executives (47%) believe that insufficient incident management planning will exacerbate the impact of major IT outages on their organizations, a concern shared by 41% of business executives, if approaches to service disruption are not prioritized.

"The PagerDuty study shows that executives around the globe are shifting their leadership priorities with major incidents in mind, with 100% of those surveyed reporting a heightened focus on preparing for future service disruptions at their companies," said Eric Johnson, chief information officer at PagerDuty. "CEOs and their boards are now focused on this issue, and with the accelerated pace of AI and other advanced technologies being deployed, companies cannot afford to delay critical technology infrastructure updates."

Additionally, 55% of executives surveyed have observed a mindset shift towards continually evaluating and improving preparedness instead of a one-time move into investments in new systems or protocols that are now complete (45%).

Other key findings from the survey data include: 

  • A strong majority of executives surveyed in the UK (91%), US (89%), Australia (88%) and Japan (78%) believe that it's not a matter of "if" but "when" these service disruptions happen.
  • While some organizations were prepared for the digital disruption, others were not. Of those that were not fully prepared, 37% of executives said the July global IT outage resulted in lost revenue or an inability to process sales transactions and delayed response times by 39% to customer or internal requests.
  • Organizations that experienced multiple service outages due to the July global IT disruption suffered communication breakdowns between departments (38%), delays in workflow and projects put on hold (35%). Overall, 39% of executives saw an impact on decision-making.
  • Nearly half in the US (48%), Australia (48%), and the UK (47%), along with a majority in Japan (53%) believe that limited access to real-time data tools will further hinder their organizations during an outage, if approaches to service disruption are not prioritized.
  • For many who experienced disruptions during service incidents, the July global IT outage meant a return to the old ways of doing things, as 44% saw increased reliance on manual processes or workarounds following the incident, showing just how much organizations rely on digital tools.

Methodology: PagerDuty surveyed 1,000 IT and business executives who were director level and above, from the US, UK, Australia and Japan. The survey was conducted by Wakefield Research on behalf of PagerDuty.

The Latest

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today ... For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity. In a cloud — first world, that assumption no longer holds ...

Website outages get resolved just as fast in August as they do in November. I went looking for the opposite: the summer slowdown everyone assumes is there once the people who fix things are away. It isn't in the data we collected, covering 1.8 million confirmed outages across tens of thousands of websites ...

This year, many of the cloud infrastructure contracts signed in the early days of the AI boom will come up for renewal. As the year goes on, I anticipate we'll see a significant amount of cloud vendor swapouts and multi-cloud adoption, and the reason isn't just GPU depreciation. It's because they're tired of their current cloud providers ...

There's a moment the many observability teams have experienced days into bringing a new service into production: you realize that the vendor's claims of "intelligent" behavior included a large serving of hype. Their dashboards look nice until they don't, the failure modes are a black box, and no one on the team can confidently explain why the system did what it did at 2 am. Agentic AI is about to force every Ops team to relive that moment at web-scale until they start treating these systems as the dependencies they actually are ...

Execs Expect Major Incident in 2025 as Large as July Global IT Outage

Service disruptions remain a critical concern for IT and business executives, with 88% of respondents saying they believe another major incident will occur in the next 12 months, according to a study from PagerDuty.

The study's findings illustrate how critical it is for companies to implement efficient processes and strategies for preventing major incidents and mitigating damages, while maintaining customer trust.

In today's digitally connected world, IT outages can be caused by everything from cyberattacks to human error.

  • 86% of executives surveyed now realize that they have been prioritizing security at the expense of readiness for service disruptions, causing changes within the company. The reality is that a focus on preventing service disruptions, which can often be security-related, is imperative for organizations today. Preparedness in terms of people, process and culture is key to ensuring disruptions are minimized to limit revenue and reputational harm.
  • 83% of business and IT executives admitted that the July global IT outage caught them off guard, exposing gaps in their preparedness for service disruptions. 89% of executives in the UK, 84% in the US, 80% in Japan and 77% in Australia admit to being surprised by the disruptions.
  • Nearly half of IT executives (47%) believe that insufficient incident management planning will exacerbate the impact of major IT outages on their organizations, a concern shared by 41% of business executives, if approaches to service disruption are not prioritized.

"The PagerDuty study shows that executives around the globe are shifting their leadership priorities with major incidents in mind, with 100% of those surveyed reporting a heightened focus on preparing for future service disruptions at their companies," said Eric Johnson, chief information officer at PagerDuty. "CEOs and their boards are now focused on this issue, and with the accelerated pace of AI and other advanced technologies being deployed, companies cannot afford to delay critical technology infrastructure updates."

Additionally, 55% of executives surveyed have observed a mindset shift towards continually evaluating and improving preparedness instead of a one-time move into investments in new systems or protocols that are now complete (45%).

Other key findings from the survey data include: 

  • A strong majority of executives surveyed in the UK (91%), US (89%), Australia (88%) and Japan (78%) believe that it's not a matter of "if" but "when" these service disruptions happen.
  • While some organizations were prepared for the digital disruption, others were not. Of those that were not fully prepared, 37% of executives said the July global IT outage resulted in lost revenue or an inability to process sales transactions and delayed response times by 39% to customer or internal requests.
  • Organizations that experienced multiple service outages due to the July global IT disruption suffered communication breakdowns between departments (38%), delays in workflow and projects put on hold (35%). Overall, 39% of executives saw an impact on decision-making.
  • Nearly half in the US (48%), Australia (48%), and the UK (47%), along with a majority in Japan (53%) believe that limited access to real-time data tools will further hinder their organizations during an outage, if approaches to service disruption are not prioritized.
  • For many who experienced disruptions during service incidents, the July global IT outage meant a return to the old ways of doing things, as 44% saw increased reliance on manual processes or workarounds following the incident, showing just how much organizations rely on digital tools.

Methodology: PagerDuty surveyed 1,000 IT and business executives who were director level and above, from the US, UK, Australia and Japan. The survey was conducted by Wakefield Research on behalf of PagerDuty.

The Latest

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today ... For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity. In a cloud — first world, that assumption no longer holds ...

Website outages get resolved just as fast in August as they do in November. I went looking for the opposite: the summer slowdown everyone assumes is there once the people who fix things are away. It isn't in the data we collected, covering 1.8 million confirmed outages across tens of thousands of websites ...

This year, many of the cloud infrastructure contracts signed in the early days of the AI boom will come up for renewal. As the year goes on, I anticipate we'll see a significant amount of cloud vendor swapouts and multi-cloud adoption, and the reason isn't just GPU depreciation. It's because they're tired of their current cloud providers ...

There's a moment the many observability teams have experienced days into bringing a new service into production: you realize that the vendor's claims of "intelligent" behavior included a large serving of hype. Their dashboards look nice until they don't, the failure modes are a black box, and no one on the team can confidently explain why the system did what it did at 2 am. Agentic AI is about to force every Ops team to relive that moment at web-scale until they start treating these systems as the dependencies they actually are ...