Travel & Tourism - Cameroon

  • Cameroon
  • According to the forecast, the revenue of Cameroon's Travel & Tourism market is expected to reach US$252.80m by 2025.
  • Moreover, the revenue is projected to show an annual growth rate (CAGR 2025-2029) of 3.89%, resulting in a market volume of US$294.50m by 2029.
  • The largest market in the market is the Hotels market, with a projected market volume of US$110.30m by 2025.
  • It is expected that the number of users in hotels will reach 2,172.00k users by 2029.
  • In 2025, user penetration is expected to be 8.2% and it is projected to increase to 9.6% by 2029.
  • The average revenue per user (ARPU) is expected to be US$102.10.
  • By 2029, 65% of total revenue in the Travel & Tourism market will be generated through online sales.
  • In comparison to other countries, United States is expected to generate the most revenue, with US$224bn in 2025.
  • Despite challenges including infrastructure and security, Cameroon's ecotourism potential remains largely untapped, offering unique opportunities for adventurous travelers.

Key regions: Malaysia, Europe, Singapore, Vietnam, United States

 
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Analyst Opinion

Cameroon's Travel & Tourism market is experiencing a notable growth trajectory, driven by various factors that are shaping the industry in the country.

Customer preferences:
Travelers in Cameroon are increasingly seeking authentic and immersive experiences, opting for cultural exchanges and eco-tourism activities. The demand for sustainable and responsible travel practices is on the rise, reflecting a global trend towards conscious tourism.

Trends in the market:
One of the key trends in the Cameroonian Travel & Tourism market is the growing focus on domestic tourism. With the country's diverse landscapes, including national parks, beaches, and cultural heritage sites, more locals are exploring their own backyard for leisure and recreation. This trend is also supported by government initiatives to promote domestic tourism and boost the local economy.

Local special circumstances:
Cameroon's unique selling points in the Travel & Tourism market lie in its rich cultural heritage and biodiversity. The country is home to a wide range of ethnic groups, each with its own traditions and customs, making it a compelling destination for cultural enthusiasts. Additionally, Cameroon boasts a variety of wildlife and natural attractions, attracting nature lovers and adventure seekers alike.

Underlying macroeconomic factors:
The development of the Travel & Tourism market in Cameroon is also influenced by macroeconomic factors such as infrastructure investment, political stability, and economic growth. Improved transportation networks and accommodation options are enhancing the overall travel experience for visitors. Moreover, the government's efforts to promote the sector as a key driver of economic development are creating a favorable environment for tourism growth in the country.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of hotels, vacation rentals, cruises, package holidays, and camping.

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
  • Travel Behavior
  • Global Comparison
  • Methodology
  • Key Market Indicators
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