Market Insights Digital eServices 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 2024-2028) of 1.28%, resulting in a projected market volume of US$143.60m by 2028.
In the Matchmaking market, the number of users is expected to amount to 6.2m users by 2028.
User penetration will be 0.00 in 2024 and is expected to hit 0.00 by 2028.
The average revenue per user (ARPU) is expected to amount to US$25.53.
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

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Analyst Opinion

The Matchmaking market in ASEAN is experiencing significant growth and development. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors all contribute to this growth. Customer preferences in the Matchmaking market in ASEAN are evolving. With the increasing reliance on technology and the rise of social media, individuals are becoming more open to the idea of finding love online. This has led to a growing demand for online matchmaking services, as people seek convenience and efficiency in their search for a partner. Additionally, there is a growing acceptance of online dating among the younger generation, who are more comfortable with using technology to meet new people. Trends in the Matchmaking market in ASEAN are also driving its development. One major trend is the rise of mobile dating apps. These apps provide a convenient and accessible platform for individuals to connect with potential partners. They offer features such as location-based matching and instant messaging, which have become increasingly popular among users. Another trend is the focus on niche markets within the matchmaking industry. There is a growing demand for specialized matchmaking services that cater to specific demographics or interests, such as religious or ethnic communities. Local special circumstances in ASEAN countries further contribute to the growth of the Matchmaking market. In some countries, cultural norms and traditions play a significant role in shaping customer preferences. For example, arranged marriages are still common in certain parts of ASEAN, leading to a demand for traditional matchmaking services. However, even in these traditional societies, there is a growing acceptance of online matchmaking platforms as an alternative or complementary approach to finding a partner. Underlying macroeconomic factors also play a role in the development of the Matchmaking market in ASEAN. Economic growth and increasing urbanization have led to changes in lifestyle and social dynamics. As people become busier with work and other commitments, they have less time to devote to traditional methods of dating. This has created a demand for matchmaking services that can help individuals save time and effort in their search for a partner. In conclusion, the Matchmaking market in ASEAN is experiencing growth and development due to evolving customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. As technology continues to advance and societal norms evolve, the Matchmaking market in ASEAN is expected to continue its upward trajectory.

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.