Hotels - Nigeria | Statista Market Forecast

Hotels - Nigeria

Nigeria

Highlights

It is projected that in Nigeria, the revenue of the Hotels market will reach US$1.44bn by 2024.
Furthermore, it is expected to show an annual growth rate of 12.56% during the period of 2024-2029, ultimately resulting in a projected market volume of US$2.61bn by 2029.
The number of users in the Hotels market is also expected to increase, reaching 18.78m users by 2029.
The user penetration rate in the country is predicted to increase from 6.3% in 2024 to 7.3% by 2029.
The average revenue per user (ARPU) is projected to be US$100.10.
In terms of revenue generation, it is expected that 77% of the total revenue in the Hotels market will come from online sales by 2029.
Finally, it is noteworthy that United States is expected to generate the most revenue in the global comparison, with a projected revenue of US$111bn in 2024.
Nigeria's hotel market is rapidly growing and diversifying, with increased investment in luxury accommodations and a focus on local cultural experiences.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Hotels market in Nigeria is experiencing a significant growth trajectory due to various factors influencing consumer behavior and market dynamics.

Customer preferences: Customers in Nigeria are increasingly looking for unique and personalized experiences when choosing hotels. They prioritize accommodations that offer a blend of luxury, comfort, and local cultural immersion. Additionally, there is a growing demand for eco-friendly and sustainable practices within the hospitality industry.

Trends in the market: One of the prominent trends in the Nigerian hotel market is the rise of boutique hotels and niche accommodations that cater to specific target markets such as business travelers, eco-conscious tourists, and luxury seekers. These establishments offer specialized services and amenities to attract and retain customers in a competitive market. Moreover, the integration of technology in hotel operations, such as online booking platforms and contactless check-ins, is becoming more prevalent to enhance customer convenience.

Local special circumstances: Nigeria's diverse cultural heritage and natural attractions play a significant role in shaping the hotel market. Hotels located in tourist hotspots like Lagos, Abuja, and Calabar benefit from the influx of domestic and international travelers seeking unique experiences. The hospitality sector in Nigeria also faces challenges such as inconsistent power supply, security concerns, and infrastructural limitations, which impact the overall customer experience and operational efficiency of hotels.

Underlying macroeconomic factors: The growth of the Hotels market in Nigeria is closely linked to the country's economic development and stability. As the economy continues to expand, driven by sectors like oil and gas, telecommunications, and agriculture, there is a positive impact on disposable incomes and consumer spending. This, in turn, fuels the demand for hotel accommodations as more Nigerians are able to afford domestic travel and leisure activities. Additionally, government initiatives to promote tourism and improve infrastructure contribute to the overall growth and competitiveness of the hotel industry in Nigeria.

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.