Skip to main content

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."

Hot Topics

The Latest

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

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 ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

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 ...

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 ...

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 ...

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 ...

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 ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

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."

Hot Topics

The Latest

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

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 ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

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 ...

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 ...

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 ...

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 ...

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 ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ...