Dating Services

Taiwan

Highlights

Revenue in the Dating Services market is projected to reach US$55.57m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 2.75%, resulting in a projected market volume of US$63.65m by 2029.
The Online Dating market has a projected market volume of US$24.48m in 2024.
In global comparison, most revenue will be generated United States (US$2.55bn in 2024).
The average revenue per user (ARPU) in the Dating Services market is projected to amount to US$14.20 in 2024.
In the Dating Services market, the number of users is expected to amount to 4.4m users by 2029.
User penetration in the Dating Services market will be at 16.3% in 2024.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Dating Services market in Taiwan has been experiencing significant growth in recent years, driven by changing customer preferences and the increasing popularity of online dating platforms.

Customer preferences: Taiwanese consumers are increasingly turning to online dating services to find potential partners. This shift in customer preferences can be attributed to several factors. Firstly, the younger generation in Taiwan is becoming more open to the idea of online dating, as they are more tech-savvy and comfortable with using digital platforms for various purposes, including socializing and networking. Additionally, the convenience and efficiency offered by online dating platforms are appealing to busy individuals who may not have the time or opportunity to meet new people in traditional social settings.

Trends in the market: One of the key trends in the Dating Services market in Taiwan is the rise of niche dating platforms. These platforms cater to specific demographics or interests, allowing users to find potential partners who share similar backgrounds or hobbies. This trend reflects the increasing demand for personalized and targeted dating experiences, as consumers seek more meaningful connections and relationships. Another trend in the market is the integration of artificial intelligence (AI) and machine learning technologies into dating platforms. These technologies enable platforms to analyze user data and preferences, providing more accurate and relevant matches. AI-powered features such as chatbots and virtual assistants also enhance the user experience by offering personalized recommendations and advice.

Local special circumstances: Taiwanese society places a strong emphasis on family and relationships, which contributes to the demand for dating services. However, there are also unique cultural factors that influence the dating landscape in Taiwan. For example, traditional gender roles and expectations may impact the way individuals approach dating and relationships. This cultural context presents both challenges and opportunities for dating service providers in Taiwan, as they need to navigate these dynamics to effectively meet customer needs and preferences.

Underlying macroeconomic factors: The strong economic growth and increasing disposable income in Taiwan have also contributed to the growth of the Dating Services market. As individuals have more financial resources, they are more willing to invest in dating services to improve their chances of finding a compatible partner. Additionally, the high urbanization rate in Taiwan has led to a more fast-paced and competitive lifestyle, making online dating an attractive option for time-constrained individuals. In conclusion, the Dating Services market in Taiwan is experiencing growth due to changing customer preferences, including the increasing acceptance of online dating and the demand for personalized and targeted dating experiences. The integration of AI and machine learning technologies is also driving innovation in the market. Local cultural factors and the strong macroeconomic conditions in Taiwan further contribute to the growth of the market.

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.