Matchmaking - Croatia

  • Croatia
  • Revenue in the Matchmaking market is projected to reach US$2.06m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.78%, resulting in a projected market volume of US$2.25m by 2029.
  • In the Matchmaking market, the number of users is expected to amount to 43.1k users by 2029.
  • User penetration will be 1.0% in 2024 and is expected to hit 1.1% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$51.56.
  • 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 Croatia is experiencing steady growth and development, driven by changing customer preferences and local special circumstances. Customer preferences in the Casual Dating market have shifted towards more casual and non-committal relationships, as individuals seek to explore their options and enjoy the freedom of casual dating. This trend is not unique to Croatia, as it can be observed in markets worldwide. The rise of online dating platforms and mobile applications has made it easier for people to connect and meet potential partners, further fueling the growth of the Casual Dating market. In addition to changing customer preferences, there are also local special circumstances that contribute to the development of the Casual Dating market in Croatia. The country's relatively small population and close-knit communities can make it challenging for individuals to meet new people and expand their social circles. Casual dating provides an opportunity for people to connect with others outside of their immediate social circles and explore new relationships. Furthermore, Croatia's tourism industry plays a significant role in the Casual Dating market. The country attracts a large number of tourists each year, many of whom are looking for casual and short-term relationships during their stay. This influx of tourists creates a dynamic and diverse dating pool, contributing to the growth of the Casual Dating market. Underlying macroeconomic factors also play a role in the development of the Casual Dating market in Croatia. The country has experienced steady economic growth in recent years, leading to increased disposable income and a higher standard of living for many individuals. This economic stability provides individuals with the financial means to engage in casual dating activities and explore new relationships. In conclusion, the Casual Dating market in Croatia is experiencing growth and development due to changing customer preferences, local special circumstances, and underlying macroeconomic factors. The rise of online dating platforms, the need for individuals to expand their social circles, and the influence of the tourism industry all contribute to the expansion of this market. As Croatia continues to experience economic stability and societal changes, the Casual Dating market is expected to continue growing in the coming years.

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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