Online Food Delivery

The revenue in Central Africa's Online Food Delivery market is projected to reach US$437.10m in 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 6.23%, resulting in a projected market volume of US$591.20m by 2029.
In the Meal Delivery market, a revenue growth of 16.1% is expected in 2025.0.
The market volume for Meal Delivery is projected to be US$360.00m in 2024.
In global comparison, China is anticipated to generate the most revenue with US$450.50bn in 2024.
The average revenue per user (ARPU) in Central Africa's Meal Delivery market is projected to amount to US$43.63 in 2024.
In the Grocery Delivery market, the number of users is expected to reach 13.2m users by 2029.
The user penetration rate in Central Africa's Grocery Delivery market will be at 8.5% in 2024.
Central Africa's Online Food Delivery market is a significant market in the region's economy, with promising revenue growth and a growing number of users in the Grocery Delivery market.
The Meal Delivery market also presents opportunities for growth, with a projected increase in revenue and market volume.
Despite limited internet access in Central Africa, online food delivery services are gaining popularity among urban residents.

Definition:

Online Food Delivery refers to the intersection of ordering groceries and prepared meals online. Orders are typically placed through an app or website and delivery times vary.

Structure:

The Online Food Delivery market contains the user and revenue development of two different delivery service solutions: (1) Meal Delivery and (2) Grocery Delivery. Included are services that deliver prepared meals and food ordered online for direct consumption (Meal Delivery) and non-prepared food and beverage products, household, and personal care products (Grocery Delivery). Meal delivery includes the delivery of meals carried out directly by restaurants (Restaurant Delivery) and online delivery services that provide customers with meals from partner restaurants that do not necessarily have to offer food delivery themselves (Platform Delivery). Grocery Delivery consists of fresh, nonprepared products delivered from supermarkets or retailers where delivery is scheduled (Retail Delivery), Delivery that is under 3 hours and operates dark stores or own warehouses (Quick Commerce), and prepared fresh ingredients to be prepared at home, typically offered through a subscription service (Meal Kit Delivery).

Additional Information:

Revenue figures are the gross merchandise value (GMV), defined as the total sales dollar value for merchandise/food sold through the Online Food Delivery marketplace. User and revenue figures represent B2C services.

Meals and groceries ordered online that are directly delivered by the restaurant, retailer, or platform no matter if ordered via a platform (e.g. Delivery Hero, Instacart) or a restaurant/retailer website (e.g. Domino's, Walmart.com)
Online meal and grocery order and delivery both carried out by a platform (e.g. Deliveroo, Grab, Flink)

Phone orders
Click & collect Grocery orders
Ready-to-eat meals

The Online Food Delivery market in Central Africa has experienced significant growth in recent years.

Customer preferences: Customers in Central Africa are increasingly turning to online food delivery services due to the convenience and speed of delivery. Many consumers are also attracted to the wide variety of food options available on these platforms, which allows them to try new cuisines from the comfort of their own homes. Additionally, the COVID-19 pandemic has accelerated the adoption of online food delivery services as consumers seek to avoid crowded restaurants and minimize contact with others.

Trends in the market: One of the key trends in the Central African Online Food Delivery market is the increasing number of players entering the market. This has led to increased competition and innovation, with companies introducing new features and services to differentiate themselves from competitors. Another trend is the growing popularity of mobile apps for food delivery, which offer a seamless and convenient user experience. Finally, there is a trend towards more sustainable and environmentally friendly delivery options, with some companies experimenting with electric bikes and other eco-friendly modes of transportation.

Local special circumstances: The Central African region is characterized by a diverse range of cultures and cuisines, which has led to a proliferation of local food delivery services catering to specific regional tastes. Additionally, many consumers in the region prefer to pay in cash rather than electronically, which has led to the development of cash-on-delivery payment options for online food delivery services.

Underlying macroeconomic factors: The Central African region is experiencing rapid urbanization, which is driving demand for online food delivery services in urban areas. Additionally, the region has a large and growing young population, which is more likely to use online food delivery services than older age groups. Finally, the region is experiencing increasing levels of internet penetration, which is making it easier for consumers to access and use online food delivery services.

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.

This report presents a comprehensive analysis and additional information on the Ecommerce market, in a PDF format.