Online Dating - Niger

Niger

Highlights

Revenue in the Online Dating market is projected to reach US$3.17m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 22.99%, resulting in a projected market volume of US$8.94m by 2029.
In the Online Dating market, the number of users is expected to amount to 1.0m users by 2029.
User penetration will be 2.1% in 2024 and is expected to hit 3.0% by 2029.
The average revenue per user (ARPU) is expected to amount to US$5.42.
In global comparison, most revenue will be generated United States (US$1.39bn in 2024).
With a projected rate of 17.7%, the user penetration in the Online Dating market is highest United States.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Matchmaking market in Niger 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 Niger have shifted towards convenience and efficiency, with more people opting for online dating platforms to meet potential partners. This shift can be attributed to the increasing penetration of smartphones and internet access in the country, making it easier for individuals to connect with others and explore romantic relationships. Additionally, the younger generation in Niger is more open to the idea of online dating, as they are more tech-savvy and have grown up in a digital era. Trends in the Matchmaking market in Niger indicate a rise in the number of online dating platforms catering to the specific needs of the local population. These platforms offer features such as language preferences, cultural compatibility, and location-based matching to enhance the user experience. The availability of such tailored platforms has contributed to the growing popularity of online dating in Niger, as individuals feel more comfortable using platforms that understand their unique needs and preferences. Local special circumstances in Niger also play a role in the development of the Matchmaking market. Niger is a diverse country with multiple ethnic groups and languages, which can pose challenges for individuals seeking romantic relationships. Online dating platforms that cater to specific ethnic or linguistic communities have gained traction in Niger, as they provide a space for individuals to connect with others who share their cultural background and values. Underlying macroeconomic factors have also contributed to the growth of the Matchmaking market in Niger. The country has experienced steady economic growth in recent years, leading to an increase in disposable income and a higher standard of living for many Nigeriens. As a result, more individuals are willing to invest in their personal lives and explore options for finding a romantic partner, leading to a higher demand for matchmaking services. In conclusion, the Matchmaking market in Niger is developing rapidly due to changing customer preferences, the rise of online dating platforms, local special circumstances, and underlying macroeconomic factors. As technology continues to advance and the online dating industry evolves, it is expected that the Matchmaking market in Niger will continue to grow and adapt to meet the needs of its diverse population.

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.