Dating Services - Peru

Peru

Revenue in the Dating Services market is projected to reach US$6.91m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 0.97%, resulting in a projected market volume of US$7.25m by 2029.
The Online Dating market has a projected market volume of US$2.91m in 2024.
In global comparison, most revenue will be generated in the United States (US$2,547.00m in 2024).
The average revenue per user (ARPU) in the Dating Services market is projected to amount to US$6.74 in 2024.
In the Dating Services market, the number of users is expected to amount to 1,229.0k users by 2029.
User penetration in the Dating Services market will be at 3.0% in 2024.

Market

Region

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Currency

Analyst Opinion

The Dating Services market in Peru is experiencing significant growth and development in recent years.

Customer preferences: Peruvian consumers are increasingly turning to online dating services to find their partners. This is due to the convenience and accessibility offered by these platforms, as well as the growing acceptance of online dating in the country. Additionally, Peruvian singles are becoming more open to the idea of meeting new people online, as it provides them with a wider pool of potential partners.

Trends in the market: One of the key trends in the Dating Services market in Peru is the rise of mobile dating apps. These apps have gained popularity among Peruvian singles, as they offer a convenient and efficient way to connect with others. Additionally, the use of location-based technology in these apps allows users to find potential matches in their vicinity, further enhancing the user experience. Another trend in the market is the increasing focus on niche dating services. Peruvian consumers are looking for platforms that cater to their specific interests and preferences. As a result, dating apps and websites targeting specific demographics or interests, such as religious or cultural groups, are gaining traction in the market.

Local special circumstances: Peru has a young population, with a significant proportion of millennials and Generation Z. These younger generations are more tech-savvy and open to using online dating services. Additionally, the urbanization and modernization of the country have contributed to the growing popularity of online dating among Peruvian singles.

Underlying macroeconomic factors: The growing middle class in Peru has led to increased disposable income, allowing more people to afford dating services. This has created a larger customer base for dating platforms, driving market growth. Additionally, the improving internet infrastructure and smartphone penetration in the country have made online dating more accessible to a larger audience. In conclusion, the Dating Services market in Peru is witnessing significant growth and development due to changing customer preferences, including the increasing acceptance of online dating and the popularity of mobile dating apps. The market is also influenced by local special circumstances, such as the young population and urbanization. Furthermore, macroeconomic factors like the growing middle class and improving internet infrastructure are driving the growth of the market.

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.