Online Dating - G7

Highlights

Revenue in the Online Dating market is projected to reach US$1.97bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.62%, resulting in a projected market volume of US$2.10bn by 2028.
In the Online Dating market, the number of users is expected to amount to 108.6m users by 2028.
User penetration will be 0.00 in 2024 and is expected to hit 0.00 by 2028.
The average revenue per user (ARPU) is expected to amount to US$19.53.
In global comparison, most revenue will be generated United States (US$1.39bn in 2024).
With a projected rate of 0.0, the user penetration in the Online Dating market is highest 0.0.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Online Dating market in G7 countries is experiencing significant growth and development.

Customer preferences: Customers in G7 countries are increasingly turning to online dating platforms to find romantic partners. This shift in preference can be attributed to several factors. Firstly, the convenience and accessibility of online dating platforms make it easier for individuals to connect with potential partners. Additionally, the ability to filter and search for specific characteristics or interests allows customers to find matches that align with their preferences. Furthermore, the anonymity provided by online dating platforms may appeal to individuals who are hesitant to approach potential partners in traditional offline settings.

Trends in the market: One notable trend in the Online Dating market in G7 countries is the increasing popularity of niche dating platforms. These platforms cater to specific demographics or interests, such as religious affiliations, hobbies, or professions. This trend reflects the desire for individuals to find partners who share similar values or interests. Niche dating platforms provide a targeted approach to matchmaking, increasing the likelihood of finding a compatible partner. Another trend in the market is the integration of advanced technologies into online dating platforms. Features such as artificial intelligence algorithms, virtual reality dating experiences, and video chat functionalities are becoming more prevalent. These technological advancements enhance the user experience and make online dating more immersive and engaging. Additionally, the use of data analytics allows platforms to provide personalized recommendations and improve the accuracy of matching algorithms.

Local special circumstances: The Online Dating market in G7 countries is influenced by local cultural norms and societal factors. For example, in countries with a high emphasis on privacy and discretion, online dating platforms that prioritize user anonymity may be more popular. Conversely, in countries with a more open and accepting attitude towards online dating, platforms that promote transparency and authenticity may be preferred. Furthermore, the level of urbanization in G7 countries can impact the online dating market. Urban areas tend to have a larger pool of potential partners and a higher adoption rate of technology, making them ideal markets for online dating platforms. On the other hand, rural areas may have a smaller user base and limited access to internet infrastructure, which can pose challenges for online dating platforms in reaching these markets.

Underlying macroeconomic factors: The growth of the Online Dating market in G7 countries is also influenced by macroeconomic factors. For instance, the increasing number of individuals entering the workforce and pursuing higher education can contribute to the growth of online dating. As people focus on building their careers or academic pursuits, they may have less time to engage in traditional dating methods, making online dating a more convenient option. Additionally, changes in societal norms and attitudes towards relationships and marriage can impact the online dating market. G7 countries are experiencing shifts in cultural values, with individuals choosing to delay marriage or opt for non-traditional relationship structures. This changing landscape creates a demand for online dating platforms that cater to diverse relationship preferences. In conclusion, the Online Dating market in G7 countries is experiencing growth and development due to changing customer preferences, technological advancements, and local special circumstances. The integration of advanced technologies and the rise of niche dating platforms are driving factors in the market's expansion. Additionally, macroeconomic factors such as increased workforce participation and evolving societal norms contribute to the growth of online dating in G7 countries.

Data coverage:

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.

Forecasts:

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.

Additional notes:

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.