Matchmaking - Slovenia

Slovenia

Highlights

Revenue in the Matchmaking market is projected to reach US$537.30k in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 2.02%, resulting in a projected market volume of US$582.10k by 2028.
In the Matchmaking market, the number of users is expected to amount to 15.0k users by 2028.
User penetration will be 0.7% in 2024 and is expected to hit 0.7% by 2028.
The average revenue per user (ARPU) is expected to amount to US$38.47.
In global comparison, most revenue will be generated China (US$1.21bn in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest South Korea.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Matchmaking market in Slovenia has been experiencing steady growth in recent years, driven by changing customer preferences and the increasing popularity of online dating platforms. Customer preferences in the Matchmaking market have shifted towards more convenient and efficient ways of finding potential partners. With the rise of technology and the internet, people are increasingly turning to online dating platforms to meet new people. These platforms offer a wide range of features and tools that make it easier for individuals to connect with others who share similar interests and values. Additionally, online dating allows for a greater level of anonymity, which can be appealing to those who are shy or introverted. Trends in the Matchmaking market in Slovenia indicate a growing reliance on technology and digital platforms. Online dating apps and websites have become the go-to method for meeting new people, with many individuals preferring the convenience and accessibility of these platforms. The use of algorithms and data analysis in matchmaking has also become more prevalent, as these technologies can help individuals find compatible partners based on their interests, values, and preferences. Local special circumstances in Slovenia have also contributed to the growth of the Matchmaking market. The country has a relatively small population, which can make it more challenging for individuals to meet potential partners through traditional means. Online dating platforms provide a solution to this problem by connecting individuals from different regions and backgrounds. Additionally, the cultural and social norms in Slovenia are becoming more accepting of online dating, further fueling the growth of the Matchmaking market. Underlying macroeconomic factors have also played a role in the development of the Matchmaking market in Slovenia. The country has experienced steady economic growth in recent years, which has resulted in increased disposable income for many individuals. This has allowed more people to afford the cost of online dating subscriptions and other related services. Additionally, the high rate of internet penetration in Slovenia has made it easier for individuals to access online dating platforms and participate in the Matchmaking market. In conclusion, the Matchmaking market in Slovenia is experiencing growth due to changing customer preferences, the increasing reliance on technology and online platforms, local special circumstances, and underlying macroeconomic factors. As technology continues to advance and online dating becomes more mainstream, it is likely that the Matchmaking market in Slovenia will continue to expand in the coming years.

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.