Restaurant Delivery - Burundi

  • Burundi
  • The Restaurant Delivery market in Burundi is projected to reach a revenue of US$0.95m in 2024.
  • This is expected to grow at an annual growth rate (CAGR 2024-2029) of 13.38%, resulting in a projected market volume of US$1.78m by 2029.
  • By that time, the number of users in the Restaurant Delivery market is expected to amount to 73.0k users.
  • The user penetration rate, which is the percentage of the population using restaurant delivery services, is projected to be 0.4% in 2024 and is expected to increase to 0.5% by 2029.
  • The average revenue per user (ARPU) in Burundi is expected to be US$19.36.
  • In global comparison, United States is expected to generate the highest revenue in the Restaurant Delivery market, reaching US$36,950.00m in 2024.
  • However, it is worth noting that in terms of user penetration, South Korea is projected to have the highest rate at 44.8%.
  • Burundi's restaurant delivery market is experiencing a surge in demand, driven by the growing urban population and increasing preference for convenience.
 
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Analyst Opinion

The restaurant delivery market in Burundi is a developing industry that has seen some interesting trends in recent years.

Customer preferences:
In Burundi, there is a growing demand for restaurant delivery services due to the convenience it offers. Customers are looking for a hassle-free way to enjoy their favorite meals without having to leave their homes or offices. Additionally, the younger generation is more inclined to use technology, such as mobile apps, to order food, which has led to the rise of online food delivery platforms.

Trends in the market:
One of the trends that have emerged in the Burundi restaurant delivery market is the increasing number of restaurants that are partnering with delivery platforms to expand their reach. This trend has been driven by the need to cater to a wider audience and increase sales. Another trend is the growing competition between delivery platforms, which has led to the introduction of innovative services such as on-demand delivery and subscription-based models.

Local special circumstances:
Burundi is a small country with a population of approximately 12 million people. The restaurant industry is relatively small, and most restaurants are concentrated in the capital city, Bujumbura. However, there is a growing middle class that is driving the demand for restaurant delivery services. Additionally, the country has a diverse culinary culture, which has led to the emergence of different types of restaurants offering a variety of cuisines.

Underlying macroeconomic factors:
Burundi is one of the poorest countries in the world, with a GDP per capita of less than $300. However, the country has experienced some economic growth in recent years, with a focus on developing the service sector. This has led to the growth of the restaurant industry, which is expected to continue in the coming years. However, the country still faces challenges such as political instability, which could impact the growth of the restaurant delivery market.

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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