Casual Dating - China

  • China
  • Revenue in the Casual Dating market is projected to reach US$82.54m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 2.13%, resulting in a projected market volume of US$91.73m by 2029.
  • In the Casual Dating market, the number of users is expected to amount to 21.6m users by 2029.
  • User penetration will be 1.3% in 2024 and is expected to hit 1.5% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$4.34.
  • In global comparison, most revenue will be generated in the United States (US$293.80m in 2024).
  • With a projected rate of 4.6%, the user penetration in the Casual Dating market is highest in Armenia.
Region comparison

Analyst Opinion

The Online Dating market in China has experienced significant growth in recent years, driven by changing customer preferences, emerging trends, and local special circumstances.

Customer preferences:
Chinese consumers are increasingly turning to online dating platforms to find love and companionship. This shift in customer preferences can be attributed to several factors. Firstly, the younger generation in China is more open-minded and tech-savvy, making them more inclined to use online dating services. Additionally, the fast-paced lifestyle in urban areas leaves little time for traditional dating methods, making online platforms a convenient and efficient way to meet potential partners. Lastly, the stigma surrounding online dating has decreased, leading to greater acceptance and adoption among Chinese consumers.

Trends in the market:
One of the key trends in the Chinese online dating market is the rise of niche dating platforms. These platforms cater to specific demographics or interests, allowing users to find like-minded individuals. For example, there are platforms specifically for single parents, LGBTQ+ individuals, and even pet lovers. This trend reflects the growing demand for personalized and targeted dating experiences in China. Another trend in the market is the integration of artificial intelligence (AI) and big data analytics into online dating platforms. These technologies enable platforms to provide more accurate and relevant matches, enhancing the user experience. AI algorithms can analyze user data, preferences, and behavior to suggest potential matches, increasing the likelihood of finding compatible partners. This trend is driven by advancements in AI technology and the increasing availability of user data.

Local special circumstances:
China's unique cultural and social dynamics have also contributed to the development of the online dating market. The country's large population and gender imbalance, with more men than women, create a highly competitive dating environment. As a result, online dating platforms offer Chinese men a wider pool of potential partners, increasing their chances of finding a match. Additionally, the concept of "marriage pressure" is deeply ingrained in Chinese society. Many young adults face societal expectations to get married and start a family at a certain age. Online dating platforms provide an alternative avenue for individuals to meet potential partners and alleviate this pressure.

Underlying macroeconomic factors:
China's rapid urbanization and growing middle class have played a significant role in the growth of the online dating market. As more people move to urban areas for work and education, they often face challenges in meeting new people and forming romantic relationships. Online dating platforms offer a solution to this problem, providing a platform for individuals to connect and build relationships. Furthermore, the increasing disposable income of Chinese consumers has made online dating more affordable and accessible. Users are willing to pay for premium features and services, driving revenue growth in the online dating market. In conclusion, the Online Dating market in China is experiencing growth due to changing customer preferences, emerging trends such as niche dating platforms and AI integration, local special circumstances including a competitive dating environment and societal pressures, and underlying macroeconomic factors such as urbanization and increasing disposable income. These factors have created a favorable environment for the development and expansion of the online dating market in China.


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.


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.


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  • Methodology
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