Market Insights eCommerce Online Food Delivery Meal Delivery

Restaurant Delivery - Central Africa

Central Africa

The projected revenue in the Restaurant Delivery market in Central Africa is expected to reach US$61.38m in 2025.
It is anticipated that the revenue will demonstrate an annual growth rate (CAGR 2025-2029) of 11.80%, resulting in a projected market volume of US$95.91m by 2029.
Additionally, the number of users in the Restaurant Delivery market is expected to reach 2.1m users by 2029.
The user penetration rate, which is currently at 1.7% in 2025, is projected to increase to 1.9% by 2029.
Furthermore, the average revenue per user (ARPU) is predicted to amount to US$36.90.
In terms of global comparison, United States is projected to generate the highest revenue in the Restaurant Delivery market, amounting to US$39,050.00m in 2025.
On the other hand, Austria is expected to have the highest user penetration rate in the market, with a projected rate of 47.6%.
Despite the challenges of infrastructure and logistics, Central African countries are experiencing a growing trend in restaurant delivery services, driven by increasing urbanization and changing consumer preferences.

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Analyst Opinion

The rise of online food delivery services has transformed the way people dine in Central Africa. From the comfort of their homes, customers can now order their favorite meals from a range of restaurants and have it delivered to their doorsteps.

Customer preferences: In Central Africa, customers prefer to order food online due to the convenience it offers. Online food delivery services have made it easier for customers to access a wide range of food options from different restaurants without leaving their homes. Customers also appreciate the ability to track their orders and the flexibility of being able to choose when their food is delivered.

Trends in the market: The online food delivery market in Central Africa has seen significant growth in recent years. With the increasing number of smartphone users and internet penetration, online food delivery services have become more accessible to a larger audience. The market has also seen the entry of international players, which has increased competition and improved the quality of services offered.

Local special circumstances: Central Africa is a diverse region with different cuisines and food cultures. This has presented a challenge for online food delivery services to cater to the unique tastes and preferences of customers. However, some companies have been able to overcome this challenge by partnering with local restaurants and offering a range of cuisines that appeal to different tastes.

Underlying macroeconomic factors: The growth of the online food delivery market in Central Africa can be attributed to several macroeconomic factors. Firstly, the region has seen an increase in disposable income, which has led to a rise in demand for convenience services such as online food delivery. Secondly, the growth of the middle class has led to an increase in demand for premium food options, which online food delivery services have been able to cater to. Finally, the region has seen an increase in urbanization, which has led to a rise in demand for food delivery services due to the busy lifestyles of urban dwellers. In conclusion, the online food delivery market in Central Africa has seen significant growth in recent years due to the convenience it offers customers. The market has also been driven by macroeconomic factors such as rising disposable income, growth of the middle class, and urbanization. While the market presents unique challenges due to the diverse food cultures in the region, companies have been able to overcome these challenges by partnering with local restaurants and offering a range of cuisines that appeal to different tastes.

Methodology

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.