Market Insights eCommerce Dating Services

Matchmaking - Austria

Austria

Revenue in the Matchmaking market is projected to reach US$12.09m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 0.30%, resulting in a projected market volume of US$12.27m by 2029.
In the Matchmaking market, the number of users is expected to amount to 138.1k users by 2029.
User penetration will be 1.5% in 2024 and is expected to hit 1.5% by 2029.
The average revenue per user (ARPU) is expected to amount to US$91.55.
In global comparison, most revenue will be generated in China (US$1,211.00m in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest in South Korea.

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Analyst Opinion

The Casual Dating market in Austria has been experiencing steady growth in recent years.

Customer preferences: Austrian consumers have shown an increasing interest in casual dating, seeking out platforms and services that provide a convenient and discreet way to meet new people. The rise of online dating apps and websites has made it easier for individuals to connect with others who share similar interests and preferences. This has led to a shift in dating culture, with many Austrians opting for casual relationships rather than traditional long-term commitments.

Trends in the market: One of the key trends in the casual dating market in Austria is the growing popularity of mobile dating apps. These apps offer a convenient and accessible way for individuals to connect with potential partners, allowing them to browse profiles and chat with others on the go. The ease of use and wide range of options available on these apps have contributed to their success in the Austrian market. Another trend in the market is the increasing acceptance and normalization of casual dating. While traditional dating norms may still exist, there is a growing acceptance of casual relationships and non-committal encounters. This shift in attitudes has created a demand for platforms and services that cater specifically to individuals looking for casual connections.

Local special circumstances: Austria's relatively small population and close-knit communities may contribute to the popularity of casual dating. In smaller cities and towns, individuals may be more likely to seek out casual relationships due to limited dating options. Additionally, the liberal and open-minded nature of Austrian society may also play a role in the acceptance of casual dating.

Underlying macroeconomic factors: The strong economy in Austria has contributed to the growth of the casual dating market. With increasing disposable income and a high standard of living, individuals have more freedom to explore their dating options. The stability of the job market and low unemployment rates also provide a sense of security, allowing individuals to focus on personal relationships and experiences. In conclusion, the Casual Dating market in Austria is developing due to changing customer preferences, including a growing interest in casual relationships and the convenience of online dating apps. The increasing acceptance of casual dating and the unique local circumstances in Austria also contribute to the market's growth. The underlying macroeconomic factors, such as a strong economy and high disposable income, further support the development of the casual dating market in Austria.

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.