Market Insights eCommerce Dating Services

Matchmaking - Timor-Leste

Timor-Leste

Revenue in the Matchmaking market is projected to reach US$34.31k in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 10.03%, resulting in a projected market volume of US$55.33k by 2029.
In the Matchmaking market, the number of users is expected to amount to 4.8k users by 2029.
User penetration will be 0.3% in 2024 and is expected to hit 0.3% by 2029.
The average revenue per user (ARPU) is expected to amount to US$7.99.
In global comparison, most revenue will be generated in China (US$1,211.00m in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest in South Korea.

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Analyst Opinion

The Casual Dating market in Timor-Leste is experiencing steady growth and development, driven by changing customer preferences and local special circumstances. Customer preferences in Timor-Leste are shifting towards more casual and non-committal relationships, which has fueled the growth of the Casual Dating market. This trend can be attributed to the increasing influence of Western culture, where casual dating is more accepted and prevalent. Additionally, the younger generation in Timor-Leste is becoming more open-minded and progressive in their attitudes towards relationships, seeking experiences and connections without the pressure of commitment. In line with global trends, the Casual Dating market in Timor-Leste is also benefiting from the increasing use of technology and the rise of online dating platforms. These platforms provide a convenient and accessible way for individuals to connect and explore casual relationships. The ease of use and anonymity offered by these platforms have further contributed to the growth of the Casual Dating market in Timor-Leste. Local special circumstances in Timor-Leste, such as a relatively small population and limited social opportunities, have also played a role in the development of the Casual Dating market. With a smaller pool of potential partners, individuals in Timor-Leste are more inclined to explore casual relationships as a means of expanding their social circles and meeting new people. Additionally, the lack of traditional dating venues and social events has further encouraged the adoption of casual dating as a popular alternative. Underlying macroeconomic factors, such as a growing middle class and increasing disposable income, have also contributed to the growth of the Casual Dating market in Timor-Leste. As individuals have more financial resources at their disposal, they are more likely to engage in casual dating activities and seek out experiences that enhance their social lives. Furthermore, the improving economic conditions in Timor-Leste have led to a greater emphasis on personal fulfillment and self-expression, driving the demand for casual dating services. In conclusion, the Casual Dating market in Timor-Leste is experiencing growth and development due to changing customer preferences, local special circumstances, and underlying macroeconomic factors. As the country continues to embrace Western influences and technology, the Casual Dating market is expected to further expand in the coming years.

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.