Casual Dating - Taiwan

Taiwan

Highlights

Revenue in the Casual Dating market is projected to reach US$10.73m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 3.32%, resulting in a projected market volume of US$12.64m by 2029.
In the Casual Dating market, the number of users is expected to amount to 920.1k users by 2029.
User penetration will be 3.4% in 2024 and is expected to hit 3.8% by 2029.
The average revenue per user (ARPU) is expected to amount to US$13.14.
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 Taiwan has been experiencing significant growth in recent years, driven by changing customer preferences and local special circumstances.

Customer preferences: In Taiwan, there has been a shift in customer preferences towards online dating platforms. This can be attributed to several factors, including the increasing use of smartphones and the convenience of online dating apps. Additionally, the younger generation in Taiwan is more open to the idea of meeting new people online, which has further fueled the demand for online dating services.

Trends in the market: One of the key trends in the Online Dating market in Taiwan is the rise of niche dating platforms. These platforms cater to specific interests and demographics, allowing users to find potential partners who share similar hobbies, values, or cultural backgrounds. This trend reflects the growing demand for personalized and targeted dating experiences, as users seek to find more meaningful connections online. Another trend in the market is the integration of advanced technologies in online dating platforms. Features such as artificial intelligence and machine learning algorithms are being used to enhance the matching process, providing users with more accurate and relevant recommendations. This not only improves the user experience but also increases the chances of successful matches, further driving the growth of the market.

Local special circumstances: Taiwan has a unique dating culture that has influenced the development of the Online Dating market. Traditional dating norms, such as arranged marriages or meeting through mutual acquaintances, are still prevalent in Taiwanese society. However, there is a growing acceptance and adoption of online dating as an alternative way to meet potential partners. This cultural shift has created a favorable environment for the growth of the Online Dating market in Taiwan.

Underlying macroeconomic factors: The strong economic growth and increasing disposable income in Taiwan have also contributed to the growth of the Online Dating market. As people have more financial resources, they are willing to spend money on dating services to improve their chances of finding a compatible partner. Additionally, the high internet penetration rate in Taiwan has made online dating more accessible to a larger population, further driving the growth of the market. In conclusion, the Online Dating market in Taiwan is experiencing significant growth due to changing customer preferences, the rise of niche dating platforms, the integration of advanced technologies, local cultural shifts, and underlying macroeconomic factors. As the market continues to evolve, it is expected to witness further innovation and expansion 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.