Online Food Delivery - Burundi

  • Burundi
  • In 2024, the Online Food Delivery market in Burundi is projected to reach a revenue of US$10.89m.
  • It is expected to experience an annual growth rate of 25.48% (CAGR 2024-2029), resulting in a projected market volume of US$33.87m by 2029.
  • The Grocery Delivery market in Burundi is also expected to show revenue growth, with a rate of 47.4% in 2025.
  • In 2024, the projected market volume for Grocery Delivery is US$9.19m.
  • When compared globally, China is expected to generate the highest revenue in the Online Food Delivery market, with US$448.90bn in 2024.
  • The average revenue per user (ARPU) in the Grocery Delivery market is projected to amount to US$24.56 in 2024.
  • In the Grocery Delivery market, the number of users is expected to reach 793.2k users by 2029.
  • The user penetration in the Grocery Delivery market in Burundi is estimated to be at 2.8% in 2024.
  • Despite limited internet access and infrastructure, online food delivery services in Burundi are gaining popularity among urban consumers.
 
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Analyst Opinion

Online food delivery has been gaining popularity in Burundi in recent years, with more and more consumers choosing to order their meals online for convenience and time-saving purposes.

Customer preferences:
The younger generation in Burundi, who are more tech-savvy, are the primary users of online food delivery services. They appreciate the convenience of being able to order food from their favorite restaurants without having to physically visit them. Additionally, with the COVID-19 pandemic, many consumers have become more cautious about going out to eat and have turned to online food delivery as a safer alternative.

Trends in the market:
One trend that has emerged in the Burundian online food delivery market is the rise of local food delivery platforms. These platforms offer a wider range of local cuisine that is not available on international platforms. Furthermore, the delivery times are often shorter, and the prices are more affordable, making them more attractive to local consumers. Another trend is the increasing use of mobile payment options, which has made it easier for consumers to pay for their orders online.

Local special circumstances:
Burundi is a small country with a relatively low GDP per capita. As a result, online food delivery services have been slow to penetrate the market, with many consumers preferring to cook their meals at home. However, with the increasing availability of smartphones and the internet, more consumers are becoming aware of the convenience of online food delivery and are slowly adopting the service. Additionally, the country's infrastructure is still developing, which has led to challenges in logistics and delivery times.

Underlying macroeconomic factors:
Burundi's economy has been struggling in recent years due to political instability and civil unrest. This has had a negative impact on consumer spending, with many consumers cutting back on non-essential items, including eating out. However, with the improving political situation, there is hope that the economy will stabilize, leading to increased consumer spending and greater demand for online food delivery services. Additionally, the government has been investing in improving the country's infrastructure, which should help to alleviate some of the logistical challenges faced by online food delivery platforms.

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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