Market Insights Digital eServices Dating Services

Matchmaking - Eastern Asia

Eastern Asia

Revenue in the Matchmaking market is projected to reach US$1,699,000,000.00 in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 1.62%, resulting in a projected market volume of US$1,812,000,000.00 by 2028.
In the Matchmaking market, the number of users is expected to amount to 60.6m users by 2028.
User penetration will be 3.5% in 2024 and is expected to hit 3.6% by 2028.
The average revenue per user (ARPU) is expected to amount to US$29.13.
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.

Key regions: India, South Korea, China, Asia, United States

Market

Region

Region comparison

Currency

Analyst Opinion

The Matchmaking market in Eastern Asia is experiencing significant growth and development. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors are all contributing to this positive trend. Customer preferences in Eastern Asia are playing a key role in the growth of the Matchmaking market. In this region, there is a strong cultural emphasis on marriage and family values. People in Eastern Asia place a high value on finding a suitable life partner, and many are turning to matchmaking services to help them in their search. Additionally, there is a growing trend of younger individuals in the region who are delaying marriage and focusing on their careers. These individuals often turn to matchmaking services to help them find a partner who shares their values and goals. Trends in the market are also driving the growth of the Matchmaking industry in Eastern Asia. With advancements in technology, online matchmaking platforms have become increasingly popular in the region. These platforms offer a convenient and efficient way for individuals to connect with potential partners. Additionally, there is a rising trend of personalized matchmaking services that cater to specific demographics or interests. These specialized services provide a more tailored approach to matchmaking, which is appealing to many individuals in Eastern Asia. Local special circumstances in Eastern Asia are also contributing to the growth of the Matchmaking market. In countries like China, where there is a large gender imbalance due to the one-child policy, there is a higher demand for matchmaking services. Additionally, cultural norms and societal pressure to get married at a certain age are driving individuals to seek matchmaking services to help them find a partner. Underlying macroeconomic factors are also playing a role in the development of the Matchmaking market in Eastern Asia. Economic growth in the region has led to an increase in disposable income, allowing individuals to invest in matchmaking services. Additionally, urbanization and changing demographics have created a larger pool of potential clients for matchmaking companies. Overall, the Matchmaking market in Eastern Asia is experiencing significant growth and development due to customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. As the region continues to evolve and modernize, it is likely that the Matchmaking industry will continue to thrive.

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.