Package Holidays - Togo

  • Togo
  • It is projected that the revenue in Togo's Package Holidays market will reach US$15.28m by 2024.
  • Moreover, the revenue is anticipated to exhibit an annual growth rate (CAGR 2024-2029) of 4.39%, resulting in a projected market volume of US$18.94m by 2029.
  • The number of users in this market is also expected to increase to 137.70k users by 2029.
  • In 2024, the user penetration rate is projected to be 0.9% and is expected to reach 1.3% by 2029.
  • Furthermore, the average revenue per user (ARPU) is estimated to amount to US$176.50.
  • By 2029, it is anticipated that 62% of the total revenue in this market will be generated through online sales.
  • It is worth noting that, in comparison with other countries, China is expected to generate the highest revenue in the Package Holidays market, with a projected revenue of US$49,250m in 2024.
  • The package holidays market in Togo caters to both international tourists and domestic travelers seeking affordable vacation options.

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

 
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Analyst Opinion

The Package Holidays market in Togo is experiencing a significant growth trajectory, driven by changing customer preferences and local special circumstances.

Customer preferences:
Customers in Togo are increasingly seeking convenience and hassle-free travel experiences, which has led to a rising demand for package holidays. The all-inclusive nature of package holidays appeals to customers looking for a seamless travel experience without the need to plan each aspect of their trip individually.

Trends in the market:
One notable trend in the Package Holidays market in Togo is the increasing popularity of domestic package holidays. Togolese travelers are exploring the diverse landscapes and cultural offerings within their own country, contributing to the growth of the domestic tourism sector. This trend is driven by a desire for authentic experiences and a growing appreciation for the local heritage.

Local special circumstances:
Togo's strategic location along the Gulf of Guinea makes it a unique destination for beach holidays, attracting both domestic and international tourists. The country's rich cultural heritage, including traditional festivals and historical sites, also plays a significant role in driving the demand for package holidays. Additionally, the government's efforts to promote tourism and improve infrastructure have further boosted the growth of the Package Holidays market in Togo.

Underlying macroeconomic factors:
The growing economy in Togo has increased disposable income levels, allowing more individuals to afford travel packages. Additionally, the stability and safety of the country have enhanced its reputation as a tourist-friendly destination, attracting a steady influx of visitors. The government's focus on developing the tourism sector as a key pillar of economic growth has also created a conducive environment for the expansion of the Package Holidays market in Togo.

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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