Casual Dating - Ivory Coast

Ivory Coast

Highlights

Revenue in the Casual Dating market is projected to reach US$1.37m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 7.45%, resulting in a projected market volume of US$1.96m by 2029.
In the Casual Dating market, the number of users is expected to amount to 386.1k users by 2029.
User penetration will be 1.0% in 2024 and is expected to hit 1.2% by 2029.
The average revenue per user (ARPU) is expected to amount to US$4.58.
In global comparison, most revenue will be generated United States (US$293.80m in 2024).
With a projected rate of 4.6%, the user penetration in the Casual Dating market is highest Armenia.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Online Dating market in Ivory Coast is experiencing significant growth, driven by changing customer preferences, emerging trends, and local special circumstances. Customer preferences in the Online Dating market in Ivory Coast are shifting towards more convenient and efficient ways of meeting potential partners. With busy lifestyles and limited time for traditional dating methods, many individuals are turning to online platforms to find love and companionship. This preference for convenience is driving the demand for online dating services in the country. Trends in the market indicate a growing acceptance and adoption of online dating in Ivory Coast. As internet penetration increases and smartphone usage becomes more widespread, more people are gaining access to online dating platforms. This trend is further accelerated by the COVID-19 pandemic, which has restricted social interactions and pushed individuals to explore online alternatives for dating and connecting with others. Local special circumstances, such as cultural norms and social dynamics, also play a role in the development of the Online Dating market in Ivory Coast. In a country where traditional dating methods may be limited by social and cultural restrictions, online dating provides a platform for individuals to meet and connect with potential partners outside of their immediate social circles. This allows for greater freedom and choice in the dating process. Underlying macroeconomic factors, such as economic growth and increasing disposable incomes, contribute to the expansion of the Online Dating market in Ivory Coast. As the economy develops and incomes rise, more people have the financial means to access online dating services. This, coupled with the growing urban population and changing social attitudes, creates a favorable environment for the growth of the online dating industry. In conclusion, the Online Dating market in Ivory Coast is experiencing growth due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. As more people seek convenient and efficient ways to find love and companionship, online dating platforms are becoming increasingly popular in the country. With the continued development of the economy and increasing internet penetration, the online dating market in Ivory Coast is expected to continue expanding in the coming years.

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.