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Payment Outages Threaten $44.4 Billion in US Retail and Hospitality Sales Annually

US Businesses Average Over 5 Major Outages Annually, with 63% Occurring During Critical Peak Trading Times

Payment system failures are putting $44.4 billion in US retail and hospitality sales at risk each year, underscoring how quickly disruption can derail day-to-day trading, according to research conducted by FreedomPay and Dynatrace in partnership with Retail Economics.

The report, Payment Resilience in an Uncertain World - USA, highlights the increasing frequency and impact of these disruptions on day-to-day trading, with consumers exhibiting low tolerance for delays. The findings show that payment failures are no longer isolated incidents, but part of a recurring operational challenge that disrupts service, damages customer trust, and negatively impacts revenue. US businesses are reporting an average of over five major outages each year, with 63% occurring during peak trading periods, amplifying the financial impact.

"Consumer-facing businesses in the US are navigating an increasingly treacherous landscape," said Chris Kronenthal, President at FreedomPay. "From widespread outages and connectivity issues to the fragility of existing payment infrastructure, disruption has become a constant. This environment creates a perfect storm for significant revenue loss and long-term damage to customer loyalty and brand reputation."

Key findings from the study include:

  • Ongoing Annual Losses and Frequency: Payment system failures are putting a staggering $44.4 billion in US retail and hospitality sales at risk each year. US businesses average over five payment disruptions annually, with 63% occurring during critical peak trading hours.
  • Patience Gap Drives Revenue Loss: Consumers will wait just 7 minutes before abandoning a purchase, yet the average outage drags on for two hours. Once the patience runs out, losses escalate fast and US businesses forfeit roughly $1.2 billion in sales per minute between minutes 8 and 13. By the 23-minute mark, cumulative losses can hit $5.3 billion, wiping out 70% of all at-risk revenue.
  • Vulnerable Without Reliable Fallbacks: With less than 30% of US consumers consistently carrying cash, and 15% of businesses lacking any secure digital payment backups, merchants are left highly exposed when digital systems fail.
  • Reputational and Human Impact: Beyond financial impact, payment failures expose brands to significant reputational damage among digitally savvy consumers and contribute to 60% of managers reporting verbal abuse towards frontline staff.

"This research shows that payment disruption becomes a business problem long before it is uncovered as a technical one," said Philippe Deblois, Global VP of Solutions Engineering at Dynatrace. "When payment systems fail, time is the most expensive variable. In complex environments, delays happen when teams can't quickly see where a problem starts or how systems are connected. Customers don't wait for that clarity. They leave, and revenue is lost within minutes."

"Our research shows that the financial impact of payment outages is significant, but the erosion of consumer trust and brand loyalty can cause equally devastating damage," said Richard Lim, CEO at Retail Economics. "Investing in robust payment infrastructure and the ability to proactively observe potential points of failure is essential for safeguarding future growth, maintaining a competitive edge, and prioritizing long-term consumer preference."

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Payment Outages Threaten $44.4 Billion in US Retail and Hospitality Sales Annually

US Businesses Average Over 5 Major Outages Annually, with 63% Occurring During Critical Peak Trading Times

Payment system failures are putting $44.4 billion in US retail and hospitality sales at risk each year, underscoring how quickly disruption can derail day-to-day trading, according to research conducted by FreedomPay and Dynatrace in partnership with Retail Economics.

The report, Payment Resilience in an Uncertain World - USA, highlights the increasing frequency and impact of these disruptions on day-to-day trading, with consumers exhibiting low tolerance for delays. The findings show that payment failures are no longer isolated incidents, but part of a recurring operational challenge that disrupts service, damages customer trust, and negatively impacts revenue. US businesses are reporting an average of over five major outages each year, with 63% occurring during peak trading periods, amplifying the financial impact.

"Consumer-facing businesses in the US are navigating an increasingly treacherous landscape," said Chris Kronenthal, President at FreedomPay. "From widespread outages and connectivity issues to the fragility of existing payment infrastructure, disruption has become a constant. This environment creates a perfect storm for significant revenue loss and long-term damage to customer loyalty and brand reputation."

Key findings from the study include:

  • Ongoing Annual Losses and Frequency: Payment system failures are putting a staggering $44.4 billion in US retail and hospitality sales at risk each year. US businesses average over five payment disruptions annually, with 63% occurring during critical peak trading hours.
  • Patience Gap Drives Revenue Loss: Consumers will wait just 7 minutes before abandoning a purchase, yet the average outage drags on for two hours. Once the patience runs out, losses escalate fast and US businesses forfeit roughly $1.2 billion in sales per minute between minutes 8 and 13. By the 23-minute mark, cumulative losses can hit $5.3 billion, wiping out 70% of all at-risk revenue.
  • Vulnerable Without Reliable Fallbacks: With less than 30% of US consumers consistently carrying cash, and 15% of businesses lacking any secure digital payment backups, merchants are left highly exposed when digital systems fail.
  • Reputational and Human Impact: Beyond financial impact, payment failures expose brands to significant reputational damage among digitally savvy consumers and contribute to 60% of managers reporting verbal abuse towards frontline staff.

"This research shows that payment disruption becomes a business problem long before it is uncovered as a technical one," said Philippe Deblois, Global VP of Solutions Engineering at Dynatrace. "When payment systems fail, time is the most expensive variable. In complex environments, delays happen when teams can't quickly see where a problem starts or how systems are connected. Customers don't wait for that clarity. They leave, and revenue is lost within minutes."

"Our research shows that the financial impact of payment outages is significant, but the erosion of consumer trust and brand loyalty can cause equally devastating damage," said Richard Lim, CEO at Retail Economics. "Investing in robust payment infrastructure and the ability to proactively observe potential points of failure is essential for safeguarding future growth, maintaining a competitive edge, and prioritizing long-term consumer preference."

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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 ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

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AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.