Restaurant Delivery - Ethiopia

Ethiopia

Highlights

The Restaurant Delivery market in Ethiopia is projected to reach a revenue of US$7.66m by 2024.
This is expected to show an annual growth rate (CAGR 2024-2029) of 12.92%, resulting in a projected market volume of US$14.05m by 2029.
Furthermore, the number of users in the Restaurant Delivery market is expected to reach 1.2m users by 2029.
The user penetration in this market is predicted to be 0.6% in 2024 and is expected to increase to 0.8% by 2029.
The average revenue per user (ARPU) is projected to be US$9.25.
In comparison to other countries, United States is expected to generate the most revenue in the Restaurant Delivery market, amounting to US$36.95bn in 2024.
On the other hand, South Korea is projected to have the highest user penetration rate of 44.8% in the Restaurant Delivery market.
The restaurant delivery market in Ethiopia is rapidly growing, fueled by increasing urbanization and a growing middle class.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The restaurant delivery market in Ethiopia has been experiencing significant growth in recent years.

Customer preferences: One of the main reasons for this growth is the changing customer preferences in Ethiopia. With the rise of technology and the internet, more and more people are looking for convenient ways to order food. This has led to an increase in demand for restaurant delivery services in the country. Additionally, the younger generation in Ethiopia is increasingly interested in trying new foods and cuisines, which has further fueled the growth of the restaurant delivery market.

Trends in the market: One of the key trends in the restaurant delivery market in Ethiopia is the increasing use of mobile apps and online platforms to order food. Many restaurants in the country have started offering online ordering and delivery options, which has made it easier for customers to order food from their favorite restaurants. Another trend in the market is the rise of food delivery startups in Ethiopia. These startups are using technology to streamline the food delivery process and offer customers a wider range of options.

Local special circumstances: There are several local special circumstances that are driving the growth of the restaurant delivery market in Ethiopia. One of these is the country's rapidly growing urban population. As more people move to cities, they are looking for convenient ways to order food. Additionally, the Ethiopian government has been investing heavily in infrastructure development, which has made it easier for restaurants to deliver food to customers.

Underlying macroeconomic factors: Another factor driving the growth of the restaurant delivery market in Ethiopia is the country's improving economic conditions. In recent years, Ethiopia has been one of the fastest-growing economies in Africa, with a growing middle class that is increasingly interested in dining out and ordering food. Additionally, the country's young and tech-savvy population has been quick to adopt new technologies, which has helped to drive the growth of the restaurant delivery market. Overall, the restaurant delivery market in Ethiopia is expected to continue growing in the coming years, driven by changing customer preferences, local special circumstances, and underlying macroeconomic factors.

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.