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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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AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...