Dating Services - Burundi

  • Burundi
  • Revenue in the Dating Services market is projected to reach US$2.18m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 7.09%, resulting in a projected market volume of US$3.07m by 2029.
  • The Online Dating market has a projected market volume of US$1.39m in 2024.
  • In global comparison, most revenue will be generated in the United States (US$2,547.00m in 2024).
  • The average revenue per user (ARPU) in the Dating Services market is projected to amount to US$5.85 in 2024.
  • In the Dating Services market, the number of users is expected to amount to 501.0k users by 2029.
  • User penetration in the Dating Services market will be at 2.8% in 2024.
 
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Analyst Opinion

The Dating Services market in Burundi has been experiencing significant growth in recent years.

Customer preferences:
Burundian consumers have shown a growing interest in online dating platforms, as they provide a convenient and efficient way to meet potential partners. This trend can be attributed to the increasing use of smartphones and internet penetration in the country. Online dating platforms offer a wide range of features and options, allowing users to customize their profiles and search for compatible matches. Additionally, the anonymity provided by these platforms appeals to many Burundian consumers who may be hesitant to approach potential partners in traditional social settings.

Trends in the market:
One of the key trends in the Burundian dating services market is the rise of niche dating platforms. These platforms cater to specific demographics or interests, such as religious dating, senior dating, or LGBTQ+ dating. By targeting specific segments of the population, these platforms are able to provide a more tailored and personalized experience for users. This trend reflects the growing diversity of the Burundian society and the desire for individuals to find partners who share their values and interests. Another trend in the market is the integration of artificial intelligence (AI) and machine learning (ML) technologies into dating platforms. These technologies can analyze user data and behavior to provide more accurate and relevant matches. AI and ML algorithms can also help improve the overall user experience by suggesting conversation starters, providing dating advice, and detecting and removing fake profiles. This trend highlights the increasing reliance on technology in the dating services industry and the importance of providing a seamless and user-friendly experience.

Local special circumstances:
Burundi is a small landlocked country in East Africa with a relatively young population. The country has a diverse cultural landscape, with multiple ethnic groups and languages. This diversity presents both opportunities and challenges for the dating services market. On one hand, it allows for the development of niche dating platforms that cater to specific cultural or linguistic communities. On the other hand, it requires dating platforms to be adaptable and inclusive, taking into account the different cultural norms and preferences of their users.

Underlying macroeconomic factors:
The Burundian economy has been growing steadily in recent years, which has led to an increase in disposable income and consumer spending. This has contributed to the growth of the dating services market, as more individuals are able to afford subscription fees or premium features on dating platforms. Additionally, the improving internet infrastructure and smartphone penetration in the country have made online dating more accessible to a larger segment of the population. These macroeconomic factors have created a favorable environment for the development and expansion of the dating services market in Burundi.

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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