Package Holidays - Madagascar

Madagascar

Highlights

Madagascar can expect a boost in the Package Holidays market as revenue is projected to reach US$211.10m in 2024.
The market is expected to show an annual growth rate of 7.04% from 2024 to 2029, resulting in a projected market volume of US$296.60m by 2029.
The number of Package Holidays market users is expected to amount to 1.40m users by 2029, with user penetration hitting 3.4% in 2024 and expected to increase to 4.0% by 2029.
The average revenue per user (ARPU) is expected to amount to US$200.80.
Additionally, 57% of total revenue in the Package Holidays market will be generated through online sales by 2029.
China leads the way in global comparison, generating the most revenue at US$49bn in 2024.
Madagascar's package holiday market is characterized by eco-tourism and adventure travel, attracting visitors with unique wildlife and stunning landscapes.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Package Holidays market in Madagascar is experiencing a significant growth in recent years.

Customer preferences: Travelers in Madagascar are increasingly opting for package holidays due to the convenience and cost-effectiveness they offer. With busy lifestyles, customers appreciate the ease of having all travel arrangements taken care of in a single booking, including accommodation, meals, and activities. This trend aligns with global preferences where travelers seek hassle-free and curated experiences.

Trends in the market: One notable trend in the Package Holidays market in Madagascar is the rise of eco-friendly and sustainable tourism packages. As awareness of environmental issues grows globally, travelers are showing a preference for destinations and packages that promote responsible travel practices. In Madagascar, known for its unique biodiversity and ecotourism opportunities, tour operators are capitalizing on this trend by offering packages that highlight conservation efforts and support local communities.

Local special circumstances: Madagascar's diverse landscape, including rainforests, beaches, and national parks, presents a unique selling point for package holiday providers. Tourists are drawn to the island nation's rich wildlife, such as lemurs and chameleons, making it a popular destination for nature enthusiasts and wildlife lovers. This natural wealth allows for the development of specialized holiday packages focusing on wildlife safaris, marine adventures, and cultural experiences, catering to different interests and preferences.

Underlying macroeconomic factors: The growing stability and infrastructure development in Madagascar are contributing to the expansion of the Package Holidays market. As the country improves its transportation networks and accommodations, it becomes more accessible to international tourists seeking diverse experiences. Additionally, government initiatives to promote tourism and attract foreign investment play a crucial role in driving the growth of the travel industry, including the package holiday segment. As Madagascar continues to enhance its tourism offerings and strengthen its position in the global travel market, the Package Holidays sector is poised for further development.

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.