Market Insights Digital eServices Dating Services

Matchmaking - Burundi

Burundi

Revenue in the Matchmaking market is projected to reach €0.46m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.07%, resulting in a projected market volume of €0.48m by 2028.
In the Matchmaking market, the number of users is expected to amount to 28.6k users by 2028.
User penetration will be 0.2% in 2024 and is expected to hit 0.2% by 2028.
The average revenue per user (ARPU) is expected to amount to €15.60.
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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Comparaison de régions

Monnaie

Analyst Opinion

The Matchmaking market in Burundi has been experiencing significant growth in recent years, driven by changing customer preferences and the increasing popularity of online dating platforms. Customer preferences in the Matchmaking market in Burundi have shifted towards online platforms, as more people are turning to the internet to find potential partners. This trend can be attributed to several factors, including the convenience and accessibility of online dating apps and websites. In addition, the younger generation in Burundi is more tech-savvy and comfortable with using digital platforms for social interactions, including dating. Trends in the Matchmaking market in Burundi indicate a growing demand for personalized and niche matchmaking services. As the market becomes more saturated with online dating platforms, customers are seeking specialized services that cater to their specific preferences and interests. This includes platforms that focus on specific religious or cultural backgrounds, as well as those that cater to specific age groups or professions. Local special circumstances in Burundi also contribute to the development of the Matchmaking market. The country has a relatively young population, with a large proportion of the population being of marriageable age. This creates a significant demand for matchmaking services, as young adults in Burundi seek to find suitable partners for marriage. Additionally, cultural norms and traditions play a significant role in the Matchmaking market, with many individuals preferring to find partners within their own communities or social circles. Underlying macroeconomic factors in Burundi, such as increasing urbanization and rising disposable incomes, also contribute to the growth of the Matchmaking market. As more people move to cities and experience higher incomes, they have greater access to online platforms and are more willing to spend money on matchmaking services. Additionally, the growing middle class in Burundi is more open to the idea of using matchmaking services to find partners, as they seek to balance their professional and personal lives. In conclusion, the Matchmaking market in Burundi is developing rapidly due to changing customer preferences, the popularity of online dating platforms, and the unique local circumstances. As the market continues to evolve, we can expect to see further growth in personalized and niche matchmaking services, as well as an increased focus on catering to the specific needs and preferences of the Burundian population.

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.