Market Insights Digital eServices Dating Services

Matchmaking - Senegal

Senegal

Revenue in the Matchmaking market is projected to reach €1.51m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of -1.52%, resulting in a projected market volume of €1.42m by 2028.
In the Matchmaking market, the number of users is expected to amount to 62.8k users by 2028.
User penetration will be 0.3% in 2024 and is expected to hit 0.3% by 2028.
The average revenue per user (ARPU) is expected to amount to €25.89.
In global comparison, most revenue will be generated in China (€1,111.00m in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest in South Korea.

Key regions: India, South Korea, China, Asia, United States

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Analyst Opinion

The Matchmaking market in Senegal is experiencing significant growth and development due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. Customer preferences in the Matchmaking market in Senegal are shifting towards online platforms and mobile applications. This is driven by the increasing use of smartphones and internet penetration in the country. Customers are now looking for convenient and efficient ways to meet potential partners, and online platforms provide them with a wide range of options and the ability to connect with people from different backgrounds and locations. Trends in the Matchmaking market in Senegal include the rise of niche dating platforms catering to specific communities or interests. This allows customers to find partners who share similar values, beliefs, or hobbies, leading to more meaningful connections. Additionally, there is a growing demand for personalized matchmaking services, where professionals use their expertise to match individuals based on compatibility and shared goals. Local special circumstances in Senegal also contribute to the development of the Matchmaking market. Traditional cultural values and societal norms place a strong emphasis on marriage and family, making matchmaking an important aspect of Senegalese society. Furthermore, the country has a young population with a high percentage of single individuals, creating a large pool of potential customers for matchmaking services. Underlying macroeconomic factors such as urbanization and increasing disposable income are driving the growth of the Matchmaking market in Senegal. As more people move to cities and experience a rise in their standard of living, they are more likely to seek companionship and invest in finding a suitable partner. This creates a favorable market environment for matchmaking services to thrive. In conclusion, the Matchmaking market in Senegal is developing rapidly due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. Online platforms and mobile applications are becoming the preferred method for meeting potential partners, while niche dating platforms and personalized matchmaking services cater to specific needs. The importance of marriage and family in Senegalese culture, coupled with a young population and increasing disposable income, further contribute to the growth of this market.

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.