Online Dating - Western Africa

  • Western Africa
  • Revenue in the Online Dating market is projected to reach US$38.94m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 12.30%, resulting in a projected market volume of US$69.55m by 2029.
  • In the Online Dating market, the number of users is expected to amount to 12.4m users by 2029.
  • User penetration will be 2.1% in 2024 and is expected to hit 2.7% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$4.51.
  • In global comparison, most revenue will be generated in the United States (US$1,392.00m in 2024).
  • With a projected rate of 17.7%, the user penetration in the Online Dating market is highest in the United States.
 
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Analyst Opinion

The Matchmaking market in Western Africa is experiencing significant growth due to changing customer preferences, emerging trends, and local special circumstances. Customer preferences in Western Africa have shifted towards online matchmaking platforms, as more people are looking for convenient and efficient ways to find potential partners. Online platforms provide a wide range of options and allow users to filter their search based on specific criteria such as age, location, and interests. This has led to an increase in the number of people using matchmaking services in the region. Trends in the market indicate a growing acceptance of online matchmaking platforms as a legitimate way to find love and companionship. This is partly due to the increasing penetration of smartphones and internet connectivity in Western Africa. As more people gain access to these technologies, the popularity of online matchmaking platforms is expected to continue rising. Another trend in the market is the emergence of niche matchmaking platforms catering to specific communities or interests. These platforms provide a more targeted approach to matchmaking and attract users who are looking for partners with similar backgrounds or hobbies. This trend is driven by the desire for more personalized and tailored matchmaking experiences. Local special circumstances in Western Africa also contribute to the growth of the matchmaking market. In many countries in the region, traditional matchmaking methods are still prevalent, but they are gradually being supplemented by online platforms. This hybrid approach allows individuals to maintain cultural traditions while also taking advantage of the convenience and efficiency offered by online matchmaking. Underlying macroeconomic factors also play a role in the development of the matchmaking market in Western Africa. Economic growth and urbanization have led to changes in lifestyle and social dynamics, resulting in an increased demand for matchmaking services. As more people move to cities and have less time to socialize, they turn to matchmaking platforms to help them find compatible partners. In conclusion, the Matchmaking market in Western Africa is experiencing growth due to changing customer preferences, emerging trends, and local special circumstances. The shift towards online platforms, the acceptance of online matchmaking as a legitimate way to find love, and the emergence of niche platforms are all contributing to the market's development. Additionally, economic growth and urbanization in the region are driving the demand for matchmaking services.

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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