Casual Dating - Papua New Guinea

Papua New Guinea

Highlights

Revenue in the Casual Dating market is projected to reach US$406.70k in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of NaN%, resulting in a projected market volume of US$-85.75k by 2029.
In the Casual Dating market, the number of users is expected to amount to 174.7k users by 2029.
User penetration will be 1.5% in 2024 and is expected to hit 1.5% by 2029.
The average revenue per user (ARPU) is expected to amount to US$2.66.
In global comparison, most revenue will be generated United States (US$293.80m in 2024).
With a projected rate of 4.6%, the user penetration in the Casual Dating market is highest Armenia.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Online Dating market in Papua New Guinea is experiencing steady growth and development, driven by changing customer preferences and the increasing popularity of online dating platforms. Customer preferences in Papua New Guinea have shifted towards online dating as a convenient and efficient way to meet new people. With the rise of technology and the internet, people are increasingly turning to online platforms to find romantic partners. Online dating offers a wide range of benefits, including the ability to connect with potential partners from the comfort of one's own home, the ability to filter and search for specific criteria, and the opportunity to meet people outside of one's social circle. These factors have contributed to the growing popularity of online dating in Papua New Guinea. Trends in the market show an increase in the number of online dating platforms available in Papua New Guinea. As more people embrace online dating, there is a growing demand for platforms that cater specifically to the local market. This has led to the emergence of local online dating platforms that understand the unique cultural and social dynamics of Papua New Guinea. These platforms offer features and services that are tailored to the needs and preferences of the local population, further driving the growth of the online dating market. Local special circumstances in Papua New Guinea also play a role in the development of the online dating market. The country has a diverse population with different cultural backgrounds and languages. Online dating platforms that cater to specific cultural or ethnic groups have gained popularity, as they provide a sense of familiarity and connection for users. Additionally, Papua New Guinea has a relatively young population, with a significant portion of the population being under the age of 30. Younger generations are more likely to embrace online dating as a way to meet potential partners, further fueling the growth of the market. Underlying macroeconomic factors, such as increasing internet penetration and smartphone usage, have also contributed to the development of the online dating market in Papua New Guinea. As more people gain access to the internet and smartphones, the potential user base for online dating platforms expands. This has created a favorable environment for online dating platforms to thrive and attract a larger number of users. In conclusion, the Online Dating market in Papua New Guinea is experiencing growth and development due to changing customer preferences, the emergence of local platforms, local special circumstances, and underlying macroeconomic factors. The convenience and efficiency of online dating, coupled with the unique needs and preferences of the local population, have contributed to the increasing popularity of online dating platforms in Papua New Guinea.

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.