Hotels - Algeria

  • Algeria
  • The Hotels market in Algeria is expected to generate a revenue of US$0.61bn by 2024.
  • The revenue is predicted to grow annually at a rate of 6.10%, resulting in a market volume of US$0.82bn by 2029.
  • The number of users in this market is expected to reach 6.82m users by 2029.
  • The user penetration is projected to increase from 10.7% in 2024 to 13.9% by 2029.
  • The average revenue per user (ARPU) is expected to be US$122.80.
  • By 2029, online sales will account for 86% of the total revenue in the Hotels market in Algeria.
  • It is noteworthy that United States is projected to generate the most revenue in the Hotels market globally, with a revenue of US$110,600m in 2024.
  • Algeria's hotel market is experiencing growth due to an increase in tourism and government efforts to improve infrastructure.

Key regions: Vietnam, Indonesia, United Kingdom, Malaysia, Saudi Arabia

 
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Analyst Opinion

The Hotels market in Algeria is experiencing a significant growth trajectory, driven by various factors influencing consumer behavior and market dynamics.

Customer preferences:
In Algeria, customers are increasingly seeking unique and authentic experiences when choosing hotels. They are inclined towards accommodations that offer cultural immersion, local cuisines, and personalized services. This shift in preferences is in line with the global trend of experiential travel, where travelers prioritize memorable experiences over traditional amenities.

Trends in the market:
One notable trend in the Algerian Hotels market is the rising demand for eco-friendly and sustainable accommodations. Travelers are becoming more conscious of their environmental impact and are actively seeking hotels that prioritize sustainability practices. This trend mirrors the growing global awareness of environmental issues and the push towards sustainable tourism practices.

Local special circumstances:
Algeria's Hotels market is also influenced by local cultural norms and traditions. The country's rich history and diverse landscapes offer a unique backdrop for hoteliers to create distinct offerings that cater to both domestic and international tourists. Additionally, the government's efforts to promote tourism as a key economic sector are creating opportunities for hotel development and infrastructure growth.

Underlying macroeconomic factors:
The development of the Hotels market in Algeria is further supported by favorable macroeconomic factors such as increasing disposable income levels, urbanization, and infrastructure investments. As the economy continues to stabilize and diversify, the hospitality sector is poised to benefit from a growing number of domestic and international travelers looking to explore all that Algeria has to offer.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of hotels.

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
  • Hotel Star Rating
  • Methodology
  • Key Market Indicators
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