Data Center Outages Are Decreasing but More Costly

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams.

Financial Pressure and Resource Constraints Intensify

While high costs continue to be a primary concern for data center leaders, the 2026 survey also highlights escalating concerns over capacity forecasting, power availability, and supply chain disruptions.

Power efficiency gains remain gradual. The industry saw minor improvements in average Power Usage Effectiveness (PUE) levels this year. While newer facilities may boast highly efficient designs, overall global progress is slowed by legacy infrastructure.

The AI and Density Reality Check

Despite market enthusiasm for Artificial Intelligence, expectations for AI in data center operations cooled slightly in 2026. Operators express the highest levels of trust for lower-risk AI applications, such as sensor data analytics and predictive maintenance, rather than autonomous control.

Power demands per rack are climbing, driven by AI but also by other enterprise applications. Average modal rack densities continue their slow upward trajectory, with a growing number of operators now reporting peak rack densities of 30 kW or higher to support advanced computing workloads.

Outages: Fewer Incidents, Higher Price Tags:

The 2026 data shows a positive, long-standing trend: fewer operators reported experiencing an impactful outage over the past three years. However, systemic risks are an emerging concern. One in ten outages is still classified as serious or severe, and the financial and operational costs of these failures continue to climb sharply.

Critical Staffing Shortages and Sustainability Progress

The industry talent drought is worsening. More than half of all respondents in 2026 report difficulties finding qualified candidates for open positions, while staff turnover remains a persistent problem — with staff often lured away by other data center companies.

On the environmental front, corporate accountability is rebounding. The share of organizations actively collecting sustainability metrics returned to a gradual upward trend in 2026. Progress is particularly notable in resource tracking, with more than half of all operators now recording their water consumption. But tracking of carbon emissions remains a minority activity.

Methodology: Uptime conducted the survey online and via email and collected responses from more than 800 data center owners and operators. Nearly one in four respondents work for professional IT/data center service providers — that is, staff with operational or executive responsibilities for a third-party data center, such as those offering colocation, wholesale, software, or cloud computing services. The survey participants represent a wide range of industry verticals in multiple countries. More than half (52%) are located in North America and Europe.

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Data Center Outages Are Decreasing but More Costly

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams.

Financial Pressure and Resource Constraints Intensify

While high costs continue to be a primary concern for data center leaders, the 2026 survey also highlights escalating concerns over capacity forecasting, power availability, and supply chain disruptions.

Power efficiency gains remain gradual. The industry saw minor improvements in average Power Usage Effectiveness (PUE) levels this year. While newer facilities may boast highly efficient designs, overall global progress is slowed by legacy infrastructure.

The AI and Density Reality Check

Despite market enthusiasm for Artificial Intelligence, expectations for AI in data center operations cooled slightly in 2026. Operators express the highest levels of trust for lower-risk AI applications, such as sensor data analytics and predictive maintenance, rather than autonomous control.

Power demands per rack are climbing, driven by AI but also by other enterprise applications. Average modal rack densities continue their slow upward trajectory, with a growing number of operators now reporting peak rack densities of 30 kW or higher to support advanced computing workloads.

Outages: Fewer Incidents, Higher Price Tags:

The 2026 data shows a positive, long-standing trend: fewer operators reported experiencing an impactful outage over the past three years. However, systemic risks are an emerging concern. One in ten outages is still classified as serious or severe, and the financial and operational costs of these failures continue to climb sharply.

Critical Staffing Shortages and Sustainability Progress

The industry talent drought is worsening. More than half of all respondents in 2026 report difficulties finding qualified candidates for open positions, while staff turnover remains a persistent problem — with staff often lured away by other data center companies.

On the environmental front, corporate accountability is rebounding. The share of organizations actively collecting sustainability metrics returned to a gradual upward trend in 2026. Progress is particularly notable in resource tracking, with more than half of all operators now recording their water consumption. But tracking of carbon emissions remains a minority activity.

Methodology: Uptime conducted the survey online and via email and collected responses from more than 800 data center owners and operators. Nearly one in four respondents work for professional IT/data center service providers — that is, staff with operational or executive responsibilities for a third-party data center, such as those offering colocation, wholesale, software, or cloud computing services. The survey participants represent a wide range of industry verticals in multiple countries. More than half (52%) are located in North America and Europe.

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For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

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Data Center Outages Are Decreasing but More Costly

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

Observability Has a Physical Layer Now: What AI Infrastructure Teaches IT Operations

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

TLS Certificate Expiration Is Becoming an Observability Problem

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprise Cloud Observability: Choosing the Right Starting Point

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

AI Is Making Incident Management More Complex - Bad Data Makes It Harder

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

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Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...