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 2024-2028) of 0.82%, resulting in a projected market volume of US$60.01m by 2028.
In the Matchmaking market, the number of users is expected to amount to 3.1m users by 2028.
User penetration will be 0.9% in 2024 and is expected to hit 1.1% by 2028.
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.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Matchmaking market in Indonesia has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to this development. Customer preferences in the Matchmaking market in Indonesia have shifted towards online platforms. With the increasing use of smartphones and internet access, more Indonesians are turning to online matchmaking services to find their partners. This preference for online platforms is driven by convenience, as users can access these services anytime and anywhere. Additionally, online matchmaking platforms offer a wider pool of potential partners, increasing the chances of finding a compatible match. Trends in the market also play a role in the development of the Matchmaking market in Indonesia. One notable trend is the rise of niche matchmaking platforms. These platforms cater to specific demographics or interests, such as religious matchmaking or matchmaking for professionals. By targeting specific segments of the population, these platforms can provide more tailored and personalized matchmaking services, attracting users who are looking for a more specialized approach. Local special circumstances in Indonesia have contributed to the growth of the Matchmaking market. In a country with a large population like Indonesia, finding a suitable partner can be challenging. Traditional matchmaking methods may not be efficient or effective in such a vast and diverse country. This has created an opportunity for online matchmaking platforms to fill the gap and provide a more efficient and convenient way for Indonesians to find their partners. Underlying macroeconomic factors have also played a role in the development of the Matchmaking market in Indonesia. The country has experienced steady economic growth in recent years, leading to an increase in disposable income and a growing middle class. As Indonesians have more disposable income, they are more willing to invest in matchmaking services to find their ideal partners. Additionally, as the middle class continues to grow, the demand for matchmaking services is likely to increase further. In conclusion, the Matchmaking market in Indonesia is developing due to customer preferences for online platforms, trends in the market towards niche matchmaking, local special circumstances that make traditional methods less efficient, and underlying macroeconomic factors such as economic growth and a growing middle class. These factors have created a favorable environment for the growth of the Matchmaking market in Indonesia, and the industry is likely to continue to 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.