Casual Dating - Brunei Darussalam

Brunei Darussalam

Highlights

Revenue in the Casual Dating market is projected to reach US$71.89k in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 2.10%, resulting in a projected market volume of US$78.11k by 2028.
In the Casual Dating market, the number of users is expected to amount to 8.0k users by 2028.
User penetration will be 1.8% in 2024 and is expected to hit 1.7% by 2028.
The average revenue per user (ARPU) is expected to amount to US$8.73.
In global comparison, most revenue will be generated United States (US$293.80m in 2024).
With a projected rate of 4.5%, the user penetration in the Casual Dating market is highest United States.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Casual Dating market in Brunei Darussalam is experiencing steady growth due to changing customer preferences, emerging trends, and local special circumstances. Customer preferences in Brunei Darussalam are shifting towards more casual and non-committal relationships. This is driven by a younger generation that values personal freedom and independence. As social norms evolve, there is a growing acceptance of casual dating as a legitimate way to meet new people and explore relationships without the pressure of commitment. Additionally, busy lifestyles and career-focused individuals are seeking convenient and flexible options for dating, which further fuels the demand for casual dating platforms. Trends in the market indicate a rise in the popularity of online dating platforms and mobile applications. These platforms provide a convenient and accessible way for individuals to connect with potential partners. The anonymity and ease of use offered by these platforms appeal to a wide range of users, including those who may be hesitant to engage in traditional dating methods. Furthermore, the availability of advanced matchmaking algorithms and personalized recommendations enhances the user experience, making it easier for individuals to find compatible matches. Local special circumstances in Brunei Darussalam also contribute to the development of the Casual Dating market. The country has a young and tech-savvy population, with a high internet penetration rate. This creates a favorable environment for online dating platforms to thrive. Moreover, Brunei Darussalam has a relatively small population and limited social opportunities for meeting new people, making online dating a convenient alternative for those seeking romantic connections. Underlying macroeconomic factors, such as increasing disposable income and urbanization, also play a role in the growth of the Casual Dating market in Brunei Darussalam. As individuals become more financially independent, they have the means to invest in leisure activities, including dating. Urbanization leads to a higher concentration of individuals in urban areas, making it easier for like-minded individuals to connect and engage in casual dating. In conclusion, the Casual Dating market in Brunei Darussalam is developing due to changing customer preferences, emerging trends in online dating platforms, local special circumstances, and underlying macroeconomic factors. As the market continues to evolve, it is likely to see further growth and innovation 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.