Package Holidays - Ghana

  • Ghana
  • It is projected that Ghana's Package Holidays market will earn a revenue of US$101.50m in 2024.
  • The revenue is expected to grow at an annual rate of 8.15% between 2024 and 2029, resulting in a market volume projection of US$150.20m by 2029.
  • Additionally, the number of users in the Package Holidays market is anticipated to increase to 624.80k users by 2029.
  • In 2024, the user penetration rate is 1.3%, projected to decrease to 1.6% by 2029.
  • The average revenue per user (ARPU) is estimated to be US$224.40.
  • By 2029, 63% of the total revenue generated in the Package Holidays market is expected to come from online sales.
  • It is noteworthy that in global comparison, China is projected to generate the most revenue (US$49,250m in 2024).
  • Ghana's package holiday market is on the rise, with an increasing number of tourists seeking culturally immersive experiences.

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

 
Market
 
Region
 
Region comparison
 
Currency
 

Analyst Opinion

The Package Holidays market in Ghana has been experiencing significant growth and development in recent years.

Customer preferences:
Ghanaians are increasingly drawn to the convenience and affordability of package holidays, which offer all-inclusive travel experiences with accommodations, meals, and activities bundled together. This trend aligns with the global shift towards experiential travel and hassle-free vacation options.

Trends in the market:
One notable trend in the Ghanaian market is the rising demand for domestic package holidays, driven by a growing middle class with disposable income and a desire to explore their own country. This trend is unique to Ghana and reflects a sense of national pride and a desire to support local tourism initiatives. Additionally, there is a noticeable increase in the popularity of eco-friendly and sustainable package holidays, catering to environmentally conscious travelers.

Local special circumstances:
Ghana's rich cultural heritage, diverse landscapes, and vibrant festivals make it an attractive destination for both domestic and international travelers. The country's stable political environment and improving infrastructure have also contributed to the growth of the package holidays market. Local tour operators and travel agencies play a crucial role in curating unique and authentic experiences for visitors, further driving the demand for package holidays in Ghana.

Underlying macroeconomic factors:
The steady economic growth in Ghana has resulted in a rise in disposable income levels, enabling more people to afford travel packages. Additionally, government initiatives to promote tourism and improve the overall travel experience have had a positive impact on the package holidays market. The stability of the local currency and increasing investments in the tourism sector have further boosted confidence among both consumers and industry players, leading to a thriving market for package holidays in Ghana.

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)