Meal Delivery - Ethiopia

  • Ethiopia
  • In 2024, the projected revenue in the Meal Delivery market in Ethiopia is expected to reach US$29.90m.
  • With an annual growth rate (CAGR 2024-2029) of 14.84%, the market volume is projected to reach US$59.72m by 2029.
  • Meanwhile, the Restaurant Deliverymarket is projected to have a market volume of US$20.78m in 2024.
  • In comparison to other countries, China is expected to generate the highest revenue of US$182,900.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market is projected to be US$16.56 in 2024.
  • By 2029, the number of users in the Meal Delivery market is expected to reach 3.0m users.
  • The user penetration in the Meal Delivery market is estimated to be 1.4% in 2024.
  • The growing demand for meal delivery services in Ethiopia is driven by busy urban professionals seeking convenience and time-saving options.
 
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Analyst Opinion

Meal delivery services have been gaining popularity in Ethiopia in recent years, driven by changing consumer preferences and local special circumstances.

Customer preferences:
One of the main reasons for the growth of meal delivery services in Ethiopia is the increasing demand for convenience among consumers. With busy lifestyles and hectic work schedules, many people are looking for quick and easy meal options that can be delivered straight to their doorstep. In addition, the rising popularity of online ordering platforms and mobile apps has made it easier than ever for consumers to order food from their favorite restaurants.

Trends in the market:
One of the key trends in the Ethiopian meal delivery market is the growing popularity of healthy and sustainable food options. Many consumers are becoming more conscious about their health and the environment, and are looking for meal delivery services that offer organic, locally sourced ingredients and eco-friendly packaging. Another trend is the increasing competition among meal delivery companies, with new players entering the market and existing companies expanding their offerings to stay ahead of the curve.

Local special circumstances:
Ethiopia's rapidly growing urban population and the increasing number of young professionals are driving the demand for meal delivery services. With more people living in cities and working long hours, there is a growing need for convenient and affordable meal options. In addition, the country's growing middle class is also contributing to the rise of meal delivery services, as consumers have more disposable income to spend on food and are willing to pay for the convenience of having meals delivered to their doorstep.

Underlying macroeconomic factors:
Ethiopia's fast-growing economy and improving infrastructure are also contributing to the growth of the meal delivery market. With more people gaining access to smartphones and the internet, the market for online ordering platforms and mobile apps is expanding rapidly. In addition, the government's efforts to improve the country's logistics and transportation infrastructure are making it easier for meal delivery companies to operate and expand their services. Overall, the meal delivery market in Ethiopia is expected to continue to grow in the coming years, driven by changing consumer preferences, local special circumstances, and underlying macroeconomic factors.

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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