Dating Services

Philippines

Highlights

Revenue in the Dating Services market is projected to reach US$17.00m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.32%, resulting in a projected market volume of US$18.16m by 2029.
The Matchmaking market has a projected market volume of US$9.16m in 2024.
In global comparison, most revenue will be generated United States (US$2.55bn in 2024).
The average revenue per user (ARPU) in the Dating Services market is projected to amount to US$3.73 in 2024.
In the Dating Services market, the number of users is expected to amount to 4.7m users by 2029.
User penetration in the Dating Services market will be at 3.8% in 2024.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Dating Services market in Philippines is experiencing significant growth due to changing customer preferences, emerging trends in the market, local special circumstances, and underlying macroeconomic factors.

Customer preferences: In recent years, there has been a shift in customer preferences towards online dating platforms and apps. This is largely driven by the increasing use of smartphones and the internet, which has made it easier for people to connect with others and find potential partners. Customers are also looking for more convenience and efficiency in their dating experiences, and online platforms provide them with a wide range of options and the ability to filter and match with potential partners based on their preferences.

Trends in the market: One of the key trends in the Dating Services market in Philippines is the rise of niche dating platforms. These platforms cater to specific demographics or interests, such as religious affiliations, hobbies, or professional backgrounds. This trend is driven by the desire for more targeted and personalized dating experiences, as well as the need for individuals to connect with others who share similar values or interests. Another trend in the market is the integration of artificial intelligence (AI) and machine learning (ML) technologies into dating platforms. These technologies are being used to analyze user data and behavior, and provide personalized recommendations and matches. This trend is driven by the need for more accurate and effective matchmaking, as well as the desire for a more seamless and enjoyable user experience.

Local special circumstances: The Dating Services market in Philippines is also influenced by local cultural and social norms. In Philippines, traditional dating methods such as arranged marriages and dating through family connections are still prevalent in some communities. However, there is a growing acceptance and adoption of online dating among younger generations, who are more open to exploring new ways of finding love and companionship.

Underlying macroeconomic factors: The growth of the Dating Services market in Philippines is also supported by favorable macroeconomic factors. The country has a large and young population, with a high proportion of internet users. This provides a large potential customer base for dating platforms and apps. Additionally, the increasing urbanization and changing lifestyles in Philippines have led to a greater demand for online dating services, as people are finding it more difficult to meet potential partners through traditional social networks. In conclusion, the Dating Services market in Philippines is experiencing growth due to changing customer preferences, emerging trends in the market, local special circumstances, and underlying macroeconomic factors. The shift towards online dating platforms, the rise of niche dating platforms, the integration of AI and ML technologies, and the influence of local cultural and social norms are all contributing to the development of the market. Furthermore, the large and young population, high internet penetration rate, and changing lifestyles in Philippines are creating a favorable environment for the growth of the Dating Services market.

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.