A multi-billion-dollar industry where the biggest apps are losing paying users and a few are still growing fast. This is the data behind my developer challenge: who owns what, how each app works, who uses them, and what they charge for.
Every figure is labeled with what it measures. Company numbers come from filings and earnings releases; user numbers from Pew, SSRS and named surveys. Gathered with help from AI research tools and checked against original sources, October 2026.
Second quarter of 2026, April through June, worldwide. Match Group is still hugely profitable while its paying users shrink. Bumble is shrinking fastest. Grindr is growing fastest.
Match Group's revenue has stayed roughly flat despite fewer paying users. Revenue per payer has gone up, from pricier tiers, add-on purchases and a changing mix of brands, while Hinge has become a bigger part of the business.
Plenty of apps that look like rivals have the same parent company. Concentrated, but not a monopoly: Meta, Grindr and a long list of independents compete for the same people.
Published estimates of the global online dating market for 2026 run from about $6.1B to $13.1B. The firms use different definitions (apps only, apps plus websites, social discovery too) and different forecasting methods, so the numbers aren't interchangeable.
Worldwide 2026 revenue estimates, USD. Estimate
"Swipe app" hides big differences. Some make you match before you talk, some let you message anyone nearby, some skip chatting and book the date. Pick an app. All of this comes from each company's own help pages, checked October 2026. Features vary by country and change often.
App Store prices are what Apple's U.S. listing showed on October 16, 2026. Apple doesn't always show the billing period, and prices vary by account, so treat them as a range, not a quote. "Not verified" means we couldn't confirm it, not that it doesn't exist.
Many more Americans have tried online dating than use it right now. That gap is the difference between ever trying it and using it today. It doesn't say why people stopped: some found someone, some stopped looking.
You'll see claims like "Tinder is 75% male" everywhere. None of them has a traceable, dated source, so they're not here. What is well measured is how differently men and women experience these apps.
One measured audience split: in the UK, Ofcom found adults visiting dating services in May 2024 were 65% men, 35% women. Hinge's visitors were 53% women. That's UK web/app audience data, not worldwide accounts.
Peer-reviewed research on what endless choice does to people. These show effects and associations. They don't prove swiping causes loneliness or bad relationships.
The model is almost always the same: free to join, then pay for more likes, to see who liked you, or to be shown first. What's scarce, and for sale, is attention.
On October 13, 2026, a Senate Joint Economic Committee investigation released numbers on bad actors on Match Group's apps, using data the company handed over. Match pointed to improvements it has made.
A verified badge can mean any one of these checks. None of them proves someone is honest.
Dating is a two-sided recommendation problem. Showing you someone you'd like is useless if they won't like you back. The apps' current systems are proprietary; this is what's public.
These circulate on stats sites and in AI answers. We couldn't trace any of them to an original, dated source, so they're left out of everything above.
These companies report revenue, subscribers, engagement and other business measures. What we can't reliably compare across platforms is how often those experiences lead to satisfying, lasting relationships. Until that's measured consistently, business performance and relationship outcomes have to be treated as different things.
Online dating is a massive industry. Millions of people have found meaningful relationships through these platforms, and some companies continue to grow. But the numbers also reveal declining paying-user counts at major brands, uneven experiences among users, and an industry concentrated among a relatively small number of owners.
What the data doesn't tell us is just as important.
We can measure revenue, subscriptions, downloads, and activity. What we can't reliably compare is how well these platforms help people build meaningful, lasting relationships. There is no common industry standard for measuring that outcome.
For developers, that leaves some interesting questions.
Does the current model of browsing profiles and swiping actually produce the best connections? Could shared activities, conversations, or experiences create a better starting point? Could we design systems that prioritize real-world relationship outcomes rather than simply optimizing engagement?
This research isn't intended to prove that online dating is a failure or that one particular alternative will succeed. It's a starting point for understanding the market, questioning its assumptions, and identifying opportunities to build something genuinely different.
The market has been proven. The question is whether the model has been perfected.
I don't believe we're anywhere close.
Checked October 16, 2026, with help from AI research tools. Company metrics are worldwide averages unless noted. Features and prices change often.