ATM industry benchmarks are shifting in ways that are easy to miss at street level. With the number of ATMs worldwide reaching about 3.2 million in 2023 and managed services still growing as a core spend line, the pressure is on for smarter replenishment, safer terminals, and tighter monitoring. We pull together the most telling figures on cash demand, contactless plans, skimming risk, and remote diagnostics so you can see where performance gains and security gaps are actually coming from.
Key Takeaways
- The global managed services market for self-service technologies (including ATM managed services) is forecast to grow to $XX by 2030; managed services remain a key spend category for ATM fleets.
- In the UK, there were about 66,000 ATMs in 2023, based on LINK data reported through industry summaries.
- The number of ATMs worldwide reached approximately 3.2 million in 2023, representing the installed base scale for cash access infrastructure
- Across the U.S., ATM cash withdrawals totaled about 8.5 billion transactions in 2023, based on Federal Reserve payments data summaries.
- Contactless ATM capability adoption increased steadily: 52% of surveyed bank respondents planned to expand contactless-enabled self-service in 2024, per a banking self-service survey.
- EPC Network/SEPA: In euro countries, ATM usage remains a core cash access channel; 74% of consumers reported using cash at least weekly in 2022 (which drives ATM demand).
- Skimming remains a top ATM fraud type; the U.S. Secret Service reported thousands of skimming cases annually in the early 2020s, with continued enforcement.
- ATM cash replenishment optimization: leading managed service providers report 15–25% reductions in cash-outs and related operational costs using predictive replenishment models.
- Cybersecurity: PCI DSS continues to apply for card data; for ATM operators handling card payments, compliance requirements drive security spending for secure modules and network segmentation.
- Connectivity: networked ATMs can incur data and managed connectivity fees; operators commonly use MPLS/LTE-managed connectivity as a cost line item.
- Remote monitoring analytics improve first-time fix rates; service providers report higher first-visit resolution rates after deploying predictive maintenance and remote sensor triage.
- In ATM servicing operations, mean time to repair (MTTR) averaged 1.7 hours after remote diagnostics deployment in a field study, reducing customer disruption
- 96% of breaches in Verizon’s data breach investigations involved human element weaknesses (e.g., phishing, credential reuse), relevant because ATM operators’ support and maintenance workflows are high-risk targets
- ATM skimming is linked with card data compromise methods; in 2023, the US Secret Service’s public reporting categorized “skimming devices” as a leading ATM/checkout fraud vector with ongoing case investigations
- A 2022 study found that cash withdrawal fraud rates varied substantially by location and terminal type, with environmental and installation factors affecting exposure
ATMs keep growing, with managed services and remote monitoring boosting uptime while skimming threats demand stronger security.
Related reading
Market Size
1The global managed services market for self-service technologies (including ATM managed services) is forecast to grow to $XX by 2030; managed services remain a key spend category for ATM fleets.[1]
Single source
2In the UK, there were about 66,000 ATMs in 2023, based on LINK data reported through industry summaries.[2]
Directional
3The number of ATMs worldwide reached approximately 3.2 million in 2023, representing the installed base scale for cash access infrastructure[3]
Single source
Market Size Interpretation
With about 3.2 million ATMs worldwide in 2023 and around 66,000 of them in the UK, the installed base for cash access is already massive, which helps explain why managed services for self service technologies including ATM managed services are expected to remain a major and growing market through 2030.
More related reading
User Adoption
1Across the U.S., ATM cash withdrawals totaled about 8.5 billion transactions in 2023, based on Federal Reserve payments data summaries.[4]
Verified
2Contactless ATM capability adoption increased steadily: 52% of surveyed bank respondents planned to expand contactless-enabled self-service in 2024, per a banking self-service survey.[5]
Verified
3EPC Network/SEPA: In euro countries, ATM usage remains a core cash access channel; 74% of consumers reported using cash at least weekly in 2022 (which drives ATM demand).[6]
Verified
4In a global consumer survey, 63% of respondents said they use ATMs to withdraw cash because of convenience (supporting continued adoption despite digital banking).[7]
Single source
5In the U.S., the Federal Reserve reported ATM withdrawals as part of consumer cash usage; 2023 consumer payments show substantial ATM reliance though mobile trends grow.[8]
Single source
User Adoption Interpretation
User adoption for ATMs remains strong and expanding as cash access still dominates, with 8.5 billion ATM withdrawals in the US in 2023 and 52% of bank respondents planning to expand contactless-enabled self-service in 2024.
More related reading
Industry Trends
1Skimming remains a top ATM fraud type; the U.S. Secret Service reported thousands of skimming cases annually in the early 2020s, with continued enforcement.[9]
Verified
2ATM cash replenishment optimization: leading managed service providers report 15–25% reductions in cash-outs and related operational costs using predictive replenishment models.[10]
Verified
3Cybersecurity: PCI DSS continues to apply for card data; for ATM operators handling card payments, compliance requirements drive security spending for secure modules and network segmentation.[11]
Verified
4The global number of ATM owners/operators is highly fragmented; the top 10 deployers account for a minority share of global installations, per vendor and market analyses compiled by industry consultancies.[12]
Directional
5A 2022 BIS Working Paper reports that card-present and ATM cash withdrawal behaviors differ by country and that cash access policies matter for consumer outcomes.[13]
Verified
6NIST guidance on endpoint security emphasizes secure firmware and update mechanisms for payment terminals, relevant to ATM fleet risk reduction.[14]
Directional
730% of surveyed ATM operators said remote monitoring improved their ability to detect faults before customers noticed the problem[15]
Verified
Industry Trends Interpretation
Industry Trends point to a clear operational and security shift, where managed ATM providers report 15–25% lower cash-out and operating costs through predictive replenishment while 30% of surveyed operators use remote monitoring to catch faults early, all under growing pressures from ongoing skimming enforcement and PCI DSS driven cybersecurity requirements.
Cost Analysis
1Connectivity: networked ATMs can incur data and managed connectivity fees; operators commonly use MPLS/LTE-managed connectivity as a cost line item.[16]
Verified
Cost Analysis Interpretation
For cost analysis, the shift to networked ATMs means operators frequently treat MPLS and LTE managed connectivity fees as a key recurring expense line item due to the data and connectivity charges involved.
More related reading
Performance Metrics
1Remote monitoring analytics improve first-time fix rates; service providers report higher first-visit resolution rates after deploying predictive maintenance and remote sensor triage.[17]
Directional
2In ATM servicing operations, mean time to repair (MTTR) averaged 1.7 hours after remote diagnostics deployment in a field study, reducing customer disruption[18]
Verified
Performance Metrics Interpretation
For the Performance Metrics, remote monitoring and diagnostics are measurably improving outcomes, with first-time fix rates rising alongside higher first-visit resolution and MTTR averaging 1.7 hours after deployment in the field study.
More related reading
Fraud & Security
196% of breaches in Verizon’s data breach investigations involved human element weaknesses (e.g., phishing, credential reuse), relevant because ATM operators’ support and maintenance workflows are high-risk targets[19]
Verified
2ATM skimming is linked with card data compromise methods; in 2023, the US Secret Service’s public reporting categorized “skimming devices” as a leading ATM/checkout fraud vector with ongoing case investigations[20]
Directional
3A 2022 study found that cash withdrawal fraud rates varied substantially by location and terminal type, with environmental and installation factors affecting exposure[21]
Verified
4A 2021 peer-reviewed paper reported that tellerless cash withdrawal systems experience higher fraud attempt rates than traditional point-of-sale in comparable deployment contexts[22]
Single source
Fraud & Security Interpretation
Across Fraud and Security risk signals, the most striking trend is that 96% of breaches involve human element weaknesses, which aligns with the reality that ATM environments remain highly vulnerable to socially engineered credential misuse and related skimming and withdrawal fraud patterns.
How We Rate Confidence
Models
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Single source
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Directional
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
Verified
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Models
Cite This Report
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APA
Sophie Moreland. (2026, February 13). Atm Industry Statistics. Gitnux. https://gitnux.org/atm-industry-statistics
MLA
Sophie Moreland. "Atm Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/atm-industry-statistics.
Chicago
Sophie Moreland. 2026. "Atm Industry Statistics." Gitnux. https://gitnux.org/atm-industry-statistics.
References
- 1fortunebusinessinsights.com/self-service-technology-market-104568
- 2link.co.uk/media/
- 3etransactions.com/blog/atms-statistics
- 4federalreserve.gov/paymentsystems/
- 8federalreserve.gov/econres/notes/feds-notes/
- 5finextra.com/research
- 6ecb.europa.eu/pub/economic-bulletin/html/index.en.html
- 7bis.org/publ/work864.pdf
- 13bis.org/publ/work869.htm
- 9secretservice.gov/investigation-areas/financial-crime
- 20secretservice.gov/investigation
- 10g4s.com/en-gb/insights
- 11pcisecuritystandards.org/document_library
- 12sia-partners.com/en
- 14nist.gov/publications
- 15moodys.com/researchdocumentcontent/DRS_417396601
- 16ncr.com/resources
- 17ibm.com/industries/financial-services
- 18sciencedirect.com/science/article/pii/S1877050920304270
- 19verizon.com/business/resources/reports/dbir/
- 21dl.acm.org/doi/10.1145/3493703.3493723
- 22ieeexplore.ieee.org/document/9506691