Matchmaking - Indonesia

Indonesia

Highlights

Revenue in the Matchmaking market is projected to reach US$58.08m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 0.77%, resulting in a projected market volume of US$60.35m by 2029.
In the Matchmaking market, the number of users is expected to amount to 3.3m users by 2029.
User penetration will be 0.9% in 2024 and is expected to hit 1.1% by 2029.
The average revenue per user (ARPU) is expected to amount to US$22.10.
In global comparison, most revenue will be generated China (US$1.21bn in 2024).
With a projected rate of 3.8%, the user penetration in the Matchmaking market is highest South Korea.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Casual dating has become increasingly popular in Indonesia, with a growing number of people seeking casual relationships and encounters. This trend can be attributed to changing social norms, increased internet penetration, and the influence of Western culture.

Customer preferences: Indonesian consumers are increasingly open to casual dating as they seek more freedom and flexibility in their personal lives. Many individuals are looking for non-committal relationships and casual encounters, rather than traditional long-term commitments. This shift in customer preferences is driven by a desire for personal autonomy and the opportunity to explore different romantic and sexual experiences.

Trends in the market: The casual dating market in Indonesia has seen significant growth in recent years, driven by the increasing use of dating apps and online platforms. These platforms provide a convenient and discreet way for individuals to connect with potential partners and arrange casual dates. The availability of a wide range of dating apps tailored to different preferences and demographics has also contributed to the growth of the market.

Local special circumstances: Indonesia is a predominantly Muslim country, and traditional values and social norms still play a significant role in society. However, there has been a gradual shift towards more liberal attitudes, especially among younger generations. This has created a space for casual dating to thrive, as individuals seek to break away from traditional expectations and explore their own desires and preferences.

Underlying macroeconomic factors: Indonesia has experienced rapid economic growth in recent years, leading to an expanding middle class with increased disposable income. This has allowed more people to participate in the casual dating market, as they have the financial means to access dating apps and platforms. Additionally, the growing internet penetration in the country has made it easier for individuals to connect with potential partners online, further fueling the growth of the market. In conclusion, the casual dating market in Indonesia is experiencing significant growth due to changing customer preferences, increased internet penetration, and the influence of Western culture. As societal norms continue to evolve and the economy expands, it is likely that the market will continue to grow and evolve, providing more opportunities for individuals to explore casual relationships and encounters.

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.