Package Holidays - Caribbean

  • Caribbean
  • The Package Holidays market in the Caribbean is expected to see a rise in revenue to US$434.70m by 2024.
  • It is projected to display an annual growth rate (CAGR 2024-2029) of 5.06%, resulting in a market volume of US$556.30m by 2029.
  • Furthermore, the number of users is expected to reach 1.81m users by 2029.
  • In 2024, user penetration is 3.9% and is expected to increase to 4.4% by 2029.
  • The average revenue per user (ARPU) is expected to be US$273.40.
  • By 2029, 74% of total revenue in the Package Holidays market will be generated through online sales.
  • In terms of global comparison, China is expected to generate the most revenue in the Package Holidays market, with US$49,250m in 2024.
  • The Caribbean's package holiday market is experiencing a shift towards eco-friendly and sustainable tourism, with a focus on preserving the region's natural beauty and resources.

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

 
Market
 
Region
 
Region comparison
 
Currency
 

Analyst Opinion

The Package Holidays market in Caribbean has been experiencing a significant growth in recent years.

Customer preferences:
Travelers in the Caribbean region are increasingly seeking convenience and hassle-free vacation experiences, leading to a rise in demand for package holidays. All-inclusive packages that combine flights, accommodations, meals, and activities have become popular among tourists looking for a seamless travel experience.

Trends in the market:
One notable trend in the Caribbean Package Holidays market is the diversification of offerings to cater to different traveler segments. Luxury package holidays targeting high-end customers looking for exclusive experiences have been on the rise, alongside budget-friendly options for cost-conscious travelers. Additionally, themed package holidays focusing on wellness retreats, adventure sports, or cultural immersions are gaining traction in the region.

Local special circumstances:
The unique geographical and cultural diversity of the Caribbean islands presents a special opportunity for the Package Holidays market. Each island offers a distinct experience, from the lush rainforests of Dominica to the vibrant nightlife of Jamaica, allowing tour operators to curate a wide range of package holiday options to suit varying preferences. Moreover, the warm tropical climate and pristine beaches make the Caribbean a top choice for sun-seekers and beach lovers.

Underlying macroeconomic factors:
The growth of the Package Holidays market in the Caribbean can also be attributed to favorable macroeconomic factors. Improvements in transportation infrastructure, such as new flight routes and cruise ship services, have made the region more accessible to international tourists. Additionally, government initiatives to promote tourism and foreign investment have contributed to the overall development of the travel industry in the Caribbean, driving the demand for package holidays.

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
Please wait

Contact

Get in touch with us. We are happy to help.
Statista Locations
Contact Meredith Alda
Meredith Alda
Sales Manager– Contact (United States)

Mon - Fri, 9am - 6pm (EST)

Contact Yolanda Mega
Yolanda Mega
Operations Manager– Contact (Asia)

Mon - Fri, 9am - 5pm (SGT)

Contact Ayana Mizuno
Ayana Mizuno
Junior Business Development Manager– Contact (Asia)

Mon - Fri, 10:00am - 6:00pm (JST)

Contact Lodovica Biagi
Lodovica Biagi
Director of Operations– Contact (Europe)

Mon - Fri, 9:30am - 5pm (GMT)

Contact Carolina Dulin
Carolina Dulin
Group Director - LATAM– Contact (Latin America)

Mon - Fri, 9am - 6pm (EST)