Casual Dating - Guatemala

Guatemala

Highlights

Revenue in the Casual Dating market is projected to reach US$1.69m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 5.15%, resulting in a projected market volume of US$2.06m by 2028.
In the Casual Dating market, the number of users is expected to amount to 470.4k users by 2028.
User penetration will be 2.0% in 2024 and is expected to hit 2.3% by 2028.
The average revenue per user (ARPU) is expected to amount to US$4.28.
In global comparison, most revenue will be generated United States (US$293.80m in 2024).
With a projected rate of 4.5%, the user penetration in the Casual Dating market is highest United States.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Casual Dating market in Guatemala has experienced significant growth in recent years, driven by changing customer preferences and the increasing popularity of online dating platforms.

Customer preferences: Guatemalan consumers have shown a growing interest in casual dating, seeking connections and relationships that are less serious and commitment-oriented. This shift in customer preferences can be attributed to several factors. Firstly, the younger generation in Guatemala is increasingly adopting a more liberal and open-minded attitude towards relationships, valuing personal freedom and independence. Additionally, the influence of Western culture, particularly through media and social platforms, has played a role in shaping customer preferences towards casual dating.

Trends in the market: One of the key trends in the Casual Dating market in Guatemala is the rise of online dating platforms. These platforms provide a convenient and accessible way for individuals to connect with potential partners, offering a wide range of features and tools to facilitate casual dating. The popularity of these platforms can be attributed to their ability to cater to the specific needs and preferences of Guatemalan consumers, such as location-based matching and the option to filter potential matches based on specific criteria. Furthermore, the COVID-19 pandemic has accelerated the adoption of online dating platforms, as people turned to virtual means of meeting and connecting with others during periods of lockdown and social distancing.

Local special circumstances: Guatemala's cultural and social context also plays a role in shaping the Casual Dating market. The country has a relatively young population, with a significant portion of the population being under the age of 30. This demographic trend contributes to the demand for casual dating, as younger individuals are more likely to explore different relationships and experiences before settling down. Additionally, Guatemala's urbanization and increasing internet penetration rates have created a conducive environment for the growth of online dating platforms, as more people have access to the necessary technology and infrastructure.

Underlying macroeconomic factors: The Casual Dating market in Guatemala is also influenced by underlying macroeconomic factors. As the country's economy continues to grow, disposable incomes are increasing, allowing consumers to allocate a portion of their budget towards leisure activities, including casual dating. Additionally, the growing middle class in Guatemala has contributed to the expansion of the market, as more individuals have the financial means to engage in casual dating experiences. However, it is important to note that income inequality and poverty rates in Guatemala may limit the market potential for some segments of the population. In conclusion, the Casual Dating market in Guatemala is experiencing growth due to changing customer preferences, the rise of online dating platforms, and the country's cultural and social context. As the market continues to evolve, it is expected that further advancements in technology and shifts in societal norms will shape the future of casual dating in Guatemala.

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.