SchedulingKit
15 Data Points

15 Queue Management Statistics (2026)

Queue outcomes depend on the setting, demand, staffing and what the intervention changes. Adyen's 2018 retail study estimated $37.7 billion in potential US sales lost to long lines; that historical estimate is not a current total for all businesses. The research here separates observed waits, perceived waits, stated preferences and customer case results. Virtual queues can change where people wait without necessarily reducing time to service.

Collection updated: October 2026

15 Queue Management Statistics (2026) reveal key trends in scheduling and appointment management. This collection contains 15 data points. Check each source's population, reporting period and methodology before applying a figure to your business; forecasts and vendor case studies are not general industry results.

1

Customer Behavior & Tolerance

15 min

Wait duration that 75% of respondents said they would tolerate in a physical line in Waitwhile's 2025 survey of 1,000 US consumers. Stated tolerance, not an observed universal eight-minute abandonment time.

Waitwhile State of Waiting in Line 2025, publisher summary

$37.7B

Estimated potential US retail sales lost to long lines in Adyen/451 Research's March 2018 survey of 1,003 adults and 250 retailers; a historical estimate, not current all-business losses.

Adyen and 451 Research, April 24, 2018

69%

Respondents who reported leaving a line before their turn in Waitwhile's 2025 survey of 1,000 US consumers. The finding does not specify a five-to-ten-minute threshold or absence of information.

Waitwhile State of Waiting in Line 2025, publisher summary

86%

US consumers who said they had left a store due to long lines during the previous 12 months, in a March 2018 Adyen/451 Research survey of 1,003 adults; not a current abandonment rate per visit.

Adyen and 451 Research, April 24, 2018

69%

Respondents in a QLess survey of 250 Americans aged 25 and older who said they would frequent a competitor with noticeably shorter waits. Stated switching preference, not a measured decline in return visits; fieldwork date not disclosed in the cited summary.

QLess original consumer-survey summary

2

Impact of Queue Management Systems

15.5 vs. 27.03 min

Mean actual wait with versus without a queue-management intervention in a Tehran pediatric emergency department, July-August 2020 (236 low-acuity visits). One study, not a cross-industry average.

Queue-management trial, Archives of Academic Emergency Medicine, 2021

11.9 vs. 32.8 min

Mean perceived wait with versus without a queue-management intervention in the same 236-visit Tehran pediatric study. Actual waits also changed, so this does not isolate transparency or real-time updates alone.

Queue-management trial, Archives of Academic Emergency Medicine, 2021

27%

Reduction in customer walkaways during Glentel's first year using WaitWell after its March 2022 implementation, according to the vendor's Canadian retail case study; not a universal effect.

WaitWell primary customer case study: Glentel

18.6 to 7.6 min

Average wait before and after a Doncaster Royal Infirmary walk-in phlebotomy improvement program documented in historical 2009-11 charts. Queue technology, staff rota coordination and clinic relocation changed together; this does not isolate a queue-system effect.

NHS Improvement, First Steps in Improving Phlebotomy, Doncaster case study

325%

Modeled three-year ROI for a 300-user financial institution adopting Coconut Software's scheduling, queue-management and video-banking suite. Vendor-commissioned Forrester study, April 2024; not a first-year queue-only average.

Forrester TEI of Coconut Software, April 2024

3

Digital Queue Preferences

65%

US consumers preferring to schedule an appointment instead of waiting in line in Waitwhile's 2025 survey of 1,000 people. This measures appointment-versus-line preference, not smartphone queue entry.

Waitwhile State of Waiting in Line 2025, publisher summary

50%

Preferred virtual queues to physical lines in Waitwhile's 2025 survey of 1,000 US consumers. The separate 65% finding concerns appointment scheduling, not virtual-queue preference.

Waitwhile State of Waiting in Line 2025

97%

Were fully or partly satisfied with an SMS recall service among 100 French-speaking patients aged 16 or older with lower-urgency conditions at Geneva University Hospitals. The 2022 cross-sectional study used a convenience sample and had no strict control group; this measures satisfaction rather than comparative improvement.

SMS recall cross-sectional study, JMIR, 2022

56%

Were satisfied with their waiting time among the same 100 Geneva SMS-recall users (28% fully, 28% partly). Satisfaction with waiting differs from satisfaction with the SMS service; no comparative uplift established.

SMS recall cross-sectional study, JMIR, 2022, Table 2

84%

Consumers Waitwhile reports avoiding businesses with visible waits in its 2025 survey of 1,000 US people. This is stated avoidance, not measured lost sales.

Waitwhile State of Waiting in Line 2025, publisher summary

Key Takeaways

What the Data Tells Us

1

Waitwhile's 2025 survey of 1,000 US consumers found 75% willing to tolerate a 15-minute physical line; there is no single demonstrated abandonment threshold across services.

2

A Tehran pediatric study reported shorter actual and perceived waits with queue management. Because both changed, it does not show that transparency alone causes the difference.

3

Glentel reported 27% fewer walkaways in its first year with WaitWell. This vendor case is a specific retail outcome, not a guaranteed result for every queue system.

4

In Waitwhile's 2025 survey, 50% preferred virtual queues and 65% preferred scheduling an appointment. These are distinct preferences rather than observed adoption rates.

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Frequently Asked Questions

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