The Online Dating market is made up of online services that offer a platform on which its members can flirt, chat or fall in love. Two noticeable examples are Tinder and Zoosk. In contrast to matchmaking services, online dating focuses on casual contacting and easy flirting among its members. The users normally carry out the search on their own. In doing so, they can apply search filters with regard to criteria such as age, location and other attributes.
Data includes revenue figures in Gross Merchandise Value (GMV), Users, average revenue per user (ARPU), and user penetration rate. User and revenue figures represent B2C services.
Apps and portals to flirt, chat or fall in love
Apps and portals that create matches based on users location (e.g. Tinder)
Apps and portals that create matches based on simple demographic criteria (e.g. Badoo)
Niche dating, such as portals or apps for vegetarians
Casual Dating for the search for non-committal sex
Online Dating is the category with the highest amount of available services and the highest amount of users. Several mobile dating apps have taken off in this segment in the past few years, but few are actually making any significant revenues. Freemium is the most common business model, with some enticing basic services offered for free along with an upsell to more advanced, paid subscriptions. Tinder is a good example for a household name and exceptional good business model. With its swiping feature it became the top-grossing non-game app for the first time in years. Asia and South America are promising regions for the near future.
The data encompasses B2C enterprises. Figures are based on Gross Merchandise Value (GMV) and represent what consumers pay for these products and services. The user metrics show the number of customers who have made at least one online purchase within the past 12 months.
Modeling approach / Market size:
Market sizes are determined through a bottom-up approach, building on predefined factors for each market segment. As a basis for evaluating markets, we use annual financial reports of the market-leading companies, third-party studies and reports, as well as survey results from our primary research (e.g., the Statista Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, GDP per capita, and internet connection speed. This data helps us estimate the market size for each country individually.
In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing. The main drivers are internet users, urban population, usage of key players, and attitudes toward online services.
The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. GCS data is reweighted for representativeness.