Market Insights eCommerce Dating Services

Matchmaking - ASEAN

ASEAN

Revenue in the Matchmaking market is projected to reach US$136.50m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.22%, resulting in a projected market volume of US$145.00m by 2029.
In the Matchmaking market, the number of users is expected to amount to 0.00 by 2029.
User penetration will be 0.00 in 2024 and is expected to hit 0.00 by 2029.
The average revenue per user (ARPU) is expected to amount to 0.00.
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 ASEAN is experiencing significant growth and development due to changing customer preferences and underlying macroeconomic factors.

Customer preferences: In recent years, there has been a shift in customer preferences towards more casual and non-committal relationships. This is driven by a desire for freedom and flexibility, as well as a growing acceptance of casual dating as a legitimate lifestyle choice. Additionally, the rise of online dating platforms has made it easier for individuals to connect with like-minded people and explore casual relationships.

Trends in the market: One of the key trends in the Casual Dating market in ASEAN is the increasing popularity of dating apps and websites. These platforms offer a convenient and efficient way for people to meet and connect with potential partners. They provide a wide range of features and options, allowing users to customize their search criteria and find matches based on their specific preferences. This has led to a significant increase in the number of people engaging in casual dating and has opened up new opportunities for businesses in the industry. Another trend in the market is the growing demand for niche dating platforms catering to specific interests or demographics. For example, there are now dating apps specifically designed for LGBTQ+ individuals, religious communities, and even pet lovers. These niche platforms provide a more targeted and personalized experience for users, increasing their chances of finding compatible partners and fostering a sense of community.

Local special circumstances: The Casual Dating market in ASEAN is also influenced by local cultural and social norms. In some countries, there may be more conservative attitudes towards dating and relationships, which can impact the acceptance and adoption of casual dating. However, as globalization and Western influences continue to spread, these attitudes are gradually shifting, leading to a greater acceptance of casual dating among younger generations.

Underlying macroeconomic factors: The growth of the Casual Dating market in ASEAN is also supported by underlying macroeconomic factors. As the region experiences economic growth and rising disposable incomes, more people have the financial means to engage in leisure activities, including casual dating. Additionally, urbanization and the increasing number of young professionals in the region have created a larger pool of potential customers for the industry. In conclusion, the Casual Dating market in ASEAN is thriving due to changing customer preferences, the rise of online dating platforms, and underlying macroeconomic factors. The increasing popularity of dating apps and niche platforms, coupled with shifting cultural norms and economic growth, are driving the growth and development of the market in the region.

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.