Key Takeaways
- In 2023, 53 million Americans used dating apps, representing about 15% of the total U.S. adult population
- Among U.S. dating app users in 2022, 48% were men and 52% were women, showing a near gender parity
- 30% of U.S. adults under 30 reported using dating apps in 2023, the highest rate across age groups
- Dating app market size reached $9.65B globally in 2023
- Tinder generated $1.9B revenue in 2023, 90% from subscriptions
- Match Group total revenue $3.5B in 2023, up 8% YoY
- 33% of users experienced harassment on apps
- 63% of women under 50 report unwanted explicit images, 2023 data
- 57% of users faced fake profiles or scammers
- 12% of Tinder matches lead to conversations in 2023
- 39% of U.S. couples met online via apps in 2023, highest ever
- Bumble reports 1 in 3 users find long-term partners
- On average, U.S. users spend 9.6 hours per week on dating apps in 2023
- 91% of dating app users check the app at least once a day, per 2023 survey
- Tinder users swipe right 46 times per day on average in 2024
In 2023, 53 million Americans used dating apps, and global usage rose 10 percent year over year.
Related reading
01 · Category
Demographics30 stats
Demographics Interpretation
02 · Category
Market Trends27 stats
Market Trends Interpretation
03 · Category
Safety Concerns27 stats
Safety Concerns Interpretation
More related reading
04 · Category
Success Rates25 stats
Success Rates Interpretation
05 · Category
Usage Frequency25 stats
Usage Frequency Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Ryan Townsend. (2026, February 13). Dating App Usage Statistics. Gitnux. https://gitnux.org/dating-app-usage-statistics
Ryan Townsend. "Dating App Usage Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/dating-app-usage-statistics.
Ryan Townsend. 2026. "Dating App Usage Statistics." Gitnux. https://gitnux.org/dating-app-usage-statistics.
Sources & references
41 datasets cited across this report · attribution is report-level

