Matchmaking - Bolivia

  • Bolivia
  • Revenue in the Matchmaking market is projected to reach US$3.55m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 2.21%, resulting in a projected market volume of US$3.96m by 2029.
  • In the Matchmaking market, the number of users is expected to amount to 69.7k users by 2029.
  • User penetration will be 0.5% in 2024 and is expected to hit 0.5% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$52.10.
  • 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.
 
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Analyst Opinion

The Casual Dating market in Bolivia has been experiencing significant growth in recent years. Customer preferences are shifting towards more casual and non-committal relationships, leading to an increased demand for casual dating services. This trend is driven by several factors, including changing societal attitudes towards relationships, increased internet penetration, and the influence of Western culture.

Customer preferences:
In Bolivia, there is a growing preference for casual dating among young adults. This can be attributed to a shift in societal norms and attitudes towards relationships. Traditional expectations of long-term commitment and marriage are being challenged, and many individuals are opting for more casual and non-committal relationships. This trend is particularly prevalent among urban millennials who prioritize personal freedom and independence.

Trends in the market:
The casual dating market in Bolivia is witnessing a surge in online platforms and mobile applications catering to this specific niche. These platforms provide a convenient and discreet way for individuals to connect with like-minded individuals for casual dating experiences. The use of technology has made it easier for people to find potential partners, facilitating the growth of the market.

Local special circumstances:
Bolivia's cultural diversity and regional variations influence the casual dating market in unique ways. In urban areas, where modern attitudes are more prevalent, casual dating is more accepted and accessible. However, in rural areas and more conservative communities, there may be resistance to this trend. Additionally, the availability and accessibility of internet services may vary across different regions, impacting the reach and adoption of online casual dating platforms.

Underlying macroeconomic factors:
Bolivia's growing economy and increasing internet penetration are contributing to the development of the casual dating market. As the country experiences economic growth and rising disposable incomes, people have more resources to spend on leisure activities, including casual dating. Furthermore, the increasing internet penetration rate in Bolivia allows for greater access to online platforms and apps, facilitating the growth of the casual dating market. In conclusion, the casual dating market in Bolivia is expanding due to shifting customer preferences, increased internet penetration, and the influence of Western culture. As societal norms surrounding relationships evolve, more individuals are opting for casual and non-committal dating experiences. The growth of online platforms and mobile applications catering to this niche further fuels the development of the market. However, it is important to consider the local special circumstances and regional variations that may impact the adoption and acceptance of casual dating in Bolivia.

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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