Restaurant Delivery - Cameroon

Cameroon

Highlights

The Restaurant Delivery market in Cameroon is projected to reach a revenue of US$18.37m by 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 16.23%, resulting in a projected market volume of US$38.96m by 2029.
By 2029, the number of users in the Restaurant Delivery market is expected to amount to 688.4k users.
The user penetration, which currently stands at 1.5% in 2024, is projected to increase to 2.1% by 2029.
The average revenue per user (ARPU) is expected to be US$41.50.
In the global comparison, United States is expected to generate the highest revenue in the Restaurant Delivery market, with US$36.95bn in 2024.
South Korea, on the other hand, is projected to have the highest user penetration rate of 44.8%.
Cameroon's restaurant delivery market is experiencing a surge in demand due to the rising urban population and changing consumer preferences for convenience.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

As the restaurant industry in Cameroon continues to grow, the demand for restaurant delivery services has also increased.

Customer preferences: Cameroonians are increasingly turning to restaurant delivery services due to the convenience it provides. With busy work schedules and traffic congestion in major cities, customers prefer to have their meals delivered to their doorstep. Additionally, the younger generation in Cameroon is more tech-savvy and prefers to use online platforms and mobile applications to order food.

Trends in the market: The restaurant delivery market in Cameroon has seen a surge in competition among players. Both international and local companies are entering the market, leading to a wider range of options for customers. This has also led to innovation in the market, with companies offering new services such as meal subscriptions and partnerships with local restaurants. Furthermore, there has been a shift in the market towards healthier food options, with more customers opting for vegetarian and vegan meals.

Local special circumstances: Cameroon has a diverse cuisine, with a mix of African, European, and Asian influences. This has led to a wide variety of food options available for delivery, catering to different tastes and preferences. However, the country also faces challenges such as poor infrastructure, which can affect the delivery time and quality of service. Additionally, the high cost of data and internet services can limit the use of online platforms for ordering food.

Underlying macroeconomic factors: Cameroon's economy has been growing steadily in recent years, with a focus on sectors such as agriculture, manufacturing, and services. This has led to an increase in disposable income and a growing middle class, which has contributed to the growth of the restaurant industry and the demand for delivery services. However, the country also faces challenges such as high unemployment rates and political instability, which can affect consumer confidence and spending habits.

Data coverage:

The data encompasses B2C enterprises. Figures are based on Gross Merchandise Value (GMV) and represent what consumers pay for these products and services. The user metrics show the number of customers who have made at least one online purchase within the past 12 months.

Modeling approach / Market size:

Market sizes are determined through a bottom-up approach, building on predefined factors for each market. As a basis for evaluating markets, we use annual financial reports of the market-leading companies, third-party studies and reports, as well as survey results from our primary research (e.g., the Statista Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, GDP per capita, and internet connection speed. 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, the S-curve function and exponential trend smoothing. The main drivers are internet users, urban population, usage of key players, and attitudes toward online services.

Additional notes:

The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. GCS data is reweighted for representativeness.