Package Holidays - Mozambique

  • Mozambique
  • It is anticipated that the Package Holidays market in Mozambique will experience a rise in revenue, with a projection of US$97.74m in 2024.
  • Furthermore, the market volume is predicted to reach US$144.50m by 2029, displaying an annual growth rate of 8.13% (CAGR 2024-2029).
  • The number of users in this market is expected to reach 0.81m users by 2029, while the user penetration will increase from 1.7% in 2024 to 2.0% in 2029.
  • Additionally, the average revenue per user (ARPU) is expected to be US$168.90.
  • It is noteworthy that 78% of the total revenue will be generated through online sales by 2029.
  • It is interesting to note that in comparison with other countries, China is expected to generate the highest amount of revenue, with a projected value of US$49,250m in 2024.
  • Mozambique's package holiday market is slowly emerging, with a focus on eco-tourism and beach getaways.

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

 
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Analyst Opinion

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

Customer preferences:
Travelers in Mozambique are increasingly seeking convenience and hassle-free holiday experiences, which has led to a growing demand for package holidays. Customers prefer the ease of booking all-inclusive packages that cover accommodation, meals, transportation, and activities, allowing them to enjoy a stress-free vacation.

Trends in the market:
One notable trend in the Package Holidays market in Mozambique is the rise of domestic tourism. More locals are opting for package holidays to explore different regions within the country, driving the growth of the domestic travel market. Additionally, there is a noticeable increase in the number of international tourists choosing Mozambique as a holiday destination, further fueling the demand for package holiday offerings.

Local special circumstances:
Mozambique's stunning beaches, rich cultural heritage, and diverse natural landscapes make it an attractive destination for tourists seeking a unique and authentic experience. The country's growing tourism infrastructure, including new hotels, resorts, and tour operators, has also contributed to the expansion of the Package Holidays market. Furthermore, the government's efforts to promote tourism and improve accessibility to key attractions have played a significant role in driving the development of the market.

Underlying macroeconomic factors:
The improving economic conditions in Mozambique, coupled with rising disposable incomes among the middle class, have made travel more affordable for a larger segment of the population. As a result, more people are able to invest in holiday packages, boosting the overall growth of the Package Holidays market. Additionally, the stability of the local currency and the country's overall political environment have increased consumer confidence and encouraged spending on leisure activities like travel.

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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