Matchmaking - Benin

  • Benin
  • Revenue in the Matchmaking market is projected to reach US$0.96m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 4.91%, resulting in a projected market volume of US$1.22m by 2029.
  • In the Matchmaking market, the number of users is expected to amount to 47.0k users by 2029.
  • User penetration will be 0.3% in 2024 and is expected to hit 0.3% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$22.92.
  • 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 Benin is experiencing significant growth and development due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. Customer preferences in the Casual Dating market in Benin have shifted towards more casual and non-committal relationships. This can be attributed to the increasing influence of Western culture and the rise of online dating platforms. Customers are now seeking short-term connections and casual encounters, rather than long-term commitments. This shift in preferences is also driven by the younger generation's desire for freedom and exploration. Trends in the market indicate a growing acceptance and normalization of casual dating in Benin. With the advent of technology and the internet, online dating platforms have become increasingly popular, providing a convenient and discreet way for individuals to connect with potential partners. This trend is further fueled by the proliferation of smartphones and the widespread use of social media, which has made it easier for people to meet and interact with others. Local special circumstances in Benin, such as a relatively young population and a growing urban middle class, contribute to the development of the Casual Dating market. The younger generation, in particular, is more open to casual relationships and is actively seeking out opportunities to meet new people. Additionally, the urban middle class has greater disposable income and is willing to spend on leisure activities, including casual dating. Underlying macroeconomic factors also play a role in the growth of the Casual Dating market in Benin. Economic stability and increasing urbanization have led to a rise in disposable income and a higher standard of living. This has created a demand for leisure activities and entertainment, including casual dating. Furthermore, the changing role of women in society, with more women entering the workforce and gaining financial independence, has also contributed to the growth of the market. In conclusion, the Casual Dating market in Benin is developing due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The shift towards casual and non-committal relationships, the rise of online dating platforms, the acceptance and normalization of casual dating, the young population and growing urban middle class, as well as economic stability and changing gender roles, all contribute to the growth of the market. As these factors continue to evolve, the Casual Dating market in Benin is expected to further expand and diversify 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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