Package Holidays - Costa Rica

  • Costa Rica
  • Costa Rica is expected to witness a rise in the Package Holidays market revenue, with projections for revenue to reach US$162.70m by 2024.
  • Moreover, this market is anticipated to exhibit an annual growth rate of 7.01% (CAGR 2024-2029), eventually leading to a projected market volume of US$228.30m by 2029.
  • The number of users in this market is also expected to increase to 508.70k users by 2029, with an estimated user penetration of 7.9% in 2024, which is expected to rise to 9.4% by 2029.
  • The average revenue per user (ARPU) is expected to be around US$0.39k.
  • In terms of online sales, it is estimated that 78% of the total revenue in the Package Holidays market will be generated through online sales by 2029.
  • When compared globally, China is projected to generate the most revenue, with an expected revenue of US$49,250m in 2024.
  • Costa Rica's package holiday market is booming, thanks to its stunning beaches, lush rainforests, and eco-friendly tourism initiatives.

Key regions: Singapore, India, Indonesia, Germany, Saudi Arabia

 
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Analyst Opinion

The Package Holidays market in Costa Rica is experiencing a surge in popularity, driven by a combination of unique customer preferences, emerging trends, and local special circumstances.

Customer preferences:
Costa Rican travelers are increasingly seeking convenience and value when planning their vacations, leading to a growing demand for all-inclusive package holidays. These packages offer a hassle-free experience with pre-arranged accommodations, meals, and activities, allowing tourists to relax and enjoy their trip without worrying about logistics.

Trends in the market:
One notable trend in the Costa Rican Package Holidays market is the rise of eco-friendly and sustainable tourism packages. With Costa Rica's reputation for biodiversity and environmental conservation, travelers are showing a preference for eco-conscious holiday options that minimize their impact on the environment. This trend is driving the development of sustainable resorts and tours within the package holiday sector.

Local special circumstances:
Costa Rica's unique natural landscapes, including pristine beaches, lush rainforests, and active volcanoes, make it a prime destination for package holidays. Tour operators are capitalizing on these natural attractions by offering diverse itineraries that showcase the country's rich biodiversity and adventurous activities. Additionally, Costa Rica's stable political environment and commitment to tourism development have created a favorable climate for the growth of the package holidays market.

Underlying macroeconomic factors:
The Costa Rican economy has been steadily growing, leading to an increase in disposable income among the local population. As a result, more Costa Ricans are opting for domestic package holidays to explore their own country and support the local tourism industry. This trend is further fueling the expansion of the package holidays market in Costa Rica, with tour operators catering to the preferences of both domestic and international travelers.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of package holidays.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market. As a basis for evaluating markets, we use financial reports, the Global Consumer Survey, third-party studies and reports, data from industry associations (e.g., UNWTO), and price data of major players in respective markets. To estimate the number of users and bookings, we furthermore use data from the Statista Consumer Insigths Global survey. In addition, we use relevant key market indicators and data from country-specific associations, such as country-related GDP, demographic data (e.g., population), tourism spending, consumer spending, internet penetration, and device penetration. 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, ARIMA, which allows time series forecasts, accounting for stationarity of data and enabling short-term estimates. Additionally, simple linear regression, Holt-Winters forecast, and exponential trend smoothing methods are applied. A k-means cluster analysis allows for the estimation of similar countries. The main drivers are tourism GDP per capita and respective price indices.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change.

Overview

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