Market Insights Digital eServices Dating Services

Casual Dating - G7

Revenue in the Casual Dating market is projected to reach US$0.53bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.39%, resulting in a projected market volume of US$0.56bn by 2028.
In the Casual Dating market, the number of users is expected to amount to 32.3m 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$17.67.
In global comparison, most revenue will be generated in the United States (US$293.80m in 2024).
With a projected rate of 0, the user penetration in the Casual Dating market is highest 0.

Key regions: United States, China, Japan, Germany, Europe

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Analyst Opinion

The Casual Dating market in G7 countries has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to this development. Customer preferences in the Casual Dating market have shifted towards more casual and non-committal relationships. This is driven by a desire for freedom and flexibility, as well as a growing acceptance of casual relationships in society. People are increasingly seeking casual dating experiences that are convenient, low-pressure, and allow for exploration and experimentation. Trends in the market reflect these changing customer preferences. Online dating platforms have become increasingly popular, providing a convenient and accessible way for people to connect and meet potential partners. These platforms offer a wide range of features and options, allowing users to tailor their dating experience to their specific needs and preferences. Additionally, there has been a rise in niche dating platforms that cater to specific interests or communities, further diversifying the market. Local special circumstances in G7 countries have also played a role in the development of the Casual Dating market. In many G7 countries, there has been a shift towards more individualistic and liberal values, which has contributed to the acceptance and normalization of casual dating. Additionally, the high levels of urbanization and busy lifestyles in G7 countries have created a demand for convenient and time-efficient dating options, further fueling the growth of the Casual Dating market. Underlying macroeconomic factors have also influenced the development of the Casual Dating market in G7 countries. Economic prosperity and high levels of disposable income have allowed individuals to prioritize their personal lives and invest in leisure activities, including casual dating. Furthermore, advancements in technology and the widespread use of smartphones have made online dating more accessible and convenient, driving the growth of the market. In conclusion, the Casual Dating market in G7 countries has experienced significant growth due to changing customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. The shift towards more casual and non-committal relationships, the popularity of online dating platforms, the acceptance of casual dating in society, and the economic prosperity in G7 countries have all contributed to the development of this market.

Methodology

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.