Restaurant Delivery - Africa

  • Africa
  • In 2024, the projected revenue in the Restaurant Delivery market in Africa is expected to reach US$2.87bn.
  • This revenue is anticipated to exhibit an annual growth rate (CAGR 2024-2029) of 9.75%, resulting in a projected market volume of US$4.57bn by 2029.
  • Furthermore, the number of users in the Restaurant Delivery market is projected to reach 93.5m users by 2029.
  • The user penetration rate is expected to be 5.0% in 2024 and is projected to increase to 6.5% by 2029.
  • The average revenue per user (ARPU) is estimated to be US$44.11.
  • When comparing the Restaurant Delivery market globally, United States is anticipated to generate the highest revenue, amounting to US$36,950.00m in 2024.
  • On the other hand, South Korea is expected to have the highest user penetration rate in the Restaurant Delivery market, projected to reach 44.8%.
  • In South Africa, the restaurant delivery market is booming, with a surge in demand for convenient and contactless food delivery services.
 
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Analyst Opinion

The popularity of food delivery services in Africa has been on the rise in recent years, with a growing number of consumers opting for the convenience and ease of having meals delivered to their doorstep.

Customer preferences:
The demand for restaurant delivery services in Africa is being driven by a number of factors, including the increasing number of people with busy lifestyles who are looking for quick and easy meal options. Additionally, the growth of the middle class in many African countries has led to an increase in disposable income, which has allowed more people to afford the luxury of having food delivered to their homes or offices.

Trends in the market:
One of the key trends in the African restaurant delivery market is the rise of mobile and online ordering platforms, which are making it easier for customers to place orders and track deliveries in real-time. Another trend is the increasing popularity of healthy food options, as more consumers become health-conscious and seek out nutritious meal options.

Local special circumstances:
In some African countries, the lack of reliable transportation infrastructure can make it difficult for restaurants to offer delivery services. However, this challenge is being addressed by the emergence of new delivery platforms that are leveraging technology to connect restaurants with local delivery providers who can navigate the local terrain and transport food to customers.

Underlying macroeconomic factors:
The growth of the African restaurant delivery market is being driven by a number of underlying macroeconomic factors, including the increasing urbanization of the continent, the rise of the middle class, and the growing adoption of mobile and online technologies. Additionally, the COVID-19 pandemic has accelerated the adoption of food delivery services in many African countries, as more people have been forced to stay at home and avoid crowded public spaces. Overall, the African restaurant delivery market is expected to continue to grow in the coming years, driven by changing consumer preferences, technological innovations, and broader macroeconomic trends.

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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