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The Casual Dating market in China is experiencing significant growth and development due to changing customer preferences and local special circumstances.
Customer preferences: In recent years, there has been a shift in customer preferences towards more casual and non-committal relationships. This can be attributed to various factors such as changing societal norms, increased urbanization, and the influence of Western culture. Many young Chinese adults are now embracing the concept of casual dating as a way to explore their personal and sexual preferences without the pressure of commitment. Additionally, the rise of social media and dating apps has made it easier for individuals to connect with potential partners and engage in casual dating.
Trends in the market: One of the key trends in the Casual Dating market in China is the increasing popularity of online platforms and mobile apps. These platforms provide a convenient and discreet way for individuals to meet and interact with potential partners. They offer a wide range of features such as matchmaking algorithms, chat functions, and location-based services, making it easier for users to find compatible matches. The convenience and accessibility of these platforms have contributed to the growth of the Casual Dating market in China. Another trend in the market is the emergence of niche dating platforms catering to specific interests or communities. For example, there are now dating apps specifically designed for LGBTQ+ individuals, single parents, and even pet lovers. These niche platforms provide a more targeted and personalized dating experience, attracting users who are looking for specific types of relationships or connections.
Local special circumstances: China's large population and rapid urbanization have created a unique set of circumstances that contribute to the growth of the Casual Dating market. In urban areas, young professionals often face high levels of work-related stress and long working hours, leaving little time for traditional dating. As a result, many individuals turn to casual dating as a way to meet new people and relieve stress. Additionally, China's one-child policy has led to a generation of only children who are often more independent and open to exploring different types of relationships.
Underlying macroeconomic factors: China's growing middle class and increasing disposable income have also played a role in the development of the Casual Dating market. As more individuals have the financial means to pursue leisure activities and personal interests, they are more likely to engage in casual dating. Furthermore, the rise of e-commerce and digital payment systems in China has made it easier for users to access and pay for online dating services, further driving the growth of the market. In conclusion, the Casual Dating market in China is experiencing significant growth and development due to changing customer preferences, the emergence of online platforms and mobile apps, local special circumstances, and underlying macroeconomic factors. As societal norms continue to evolve and technology advances, the market is expected to further expand 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.Lu - vi, 9:30 - 17:00 h (CET)
Lu - vi, 9:00 - 18:00 h (EST)
Lu - vi, 9:00 - 17:00 h (SGT)
Lu - vi, 10:00 - 18:00 h (JST)
Lu - vi, 9:30 - 17:00 h (GMT)
Lu - vi, 9:00am-6:00pm (EST)