Package Holidays - Central America

  • Central America
  • Central America is projected to see a significant increase in revenue within the Package Holidays market, with a projected value of US$453.80m in 2024.
  • This growth is expected to continue, with an annual growth rate of 5.70% from 2024 to 2029, resulting in a projected market volume of US$598.60m by 2029.
  • Moreover, the number of users in this market is expected to reach 2.17m users by 2029, with a user penetration of 3.3% in 2024 and an expected increase to 3.9% by 2029.
  • The average revenue per user (ARPU) is also projected to be US$260.10.
  • Additionally, it is estimated that 73% of the total revenue in this market will be generated through online sales by 2029.
  • Comparatively, China is expected to generate the most revenue in the global Package Holidays market, with a projected value of US$49,250m in 2024.
  • Despite being a relatively small market, package holidays in Costa Rica are gaining popularity due to the country's natural beauty and eco-tourism focus.

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

 
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Analyst Opinion

The Package Holidays market in Central America has been experiencing notable growth and development in recent years.

Customer preferences:
Travelers in Central America are increasingly seeking convenience and hassle-free vacation experiences, driving the demand for package holidays. The all-inclusive nature of these packages, which often include accommodation, meals, and activities, appeals to customers looking for a seamless travel experience without the need to plan every detail themselves.

Trends in the market:
One prominent trend in the Central American package holidays market is the rise of eco-friendly and sustainable tourism packages. Travelers are showing a growing interest in preserving the region's natural beauty and supporting local communities through their travel choices. As a result, tour operators are offering more environmentally conscious options, such as stays in eco-lodges and tours focused on conservation efforts.

Local special circumstances:
Central America's diverse landscape and rich cultural heritage make it a unique and attractive destination for travelers seeking a mix of adventure and relaxation. Countries like Costa Rica, known for its biodiversity and eco-tourism initiatives, are particularly popular among tourists looking to explore natural wonders while enjoying the convenience of a packaged holiday.

Underlying macroeconomic factors:
The improving economic stability and infrastructure development in many Central American countries have contributed to the growth of the package holidays market. As disposable incomes rise and transportation networks improve, more people are able to afford and access packaged travel options, boosting the overall tourism industry in the region. Additionally, government initiatives to promote tourism and invest in the sector have further supported the expansion of the package holidays market in Central America.

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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