Market Insights eCommerce Online Food Delivery Grocery Delivery

Retail Delivery - Burundi

Burundi

The Reail Delivery market in Burundi is projected to witness a significant growth in revenue, reaching US$37.04m in 2024.
This growth is expected to continue with an annual growth rate of -4.15% from 2024 to 2029, resulting in a projected market volume of US$29.96m by 2029.
In terms of user base, the number of users in Burundi's Reail Delivery market is expected to reach 793.2k users by 2029.
The user penetration rate, which is the percentage of the population using Reail Delivery market services, is projected to increase from 2.8% in 2024 to 5.1% by 2029.
The average revenue per user (ARPU) is expected to amount to US$98.96 in Burundi's Reail Delivery market.
This indicates the average amount of revenue generated by each user.
In comparison to other countries, United States is forecasted to generate the highest revenue in the Reail Delivery market, amounting to US$195,400.00m in 2024.
On the other hand, United States is expected to have the highest user penetration rate, projected at 30.4%.
Overall, the Reail Delivery market in Burundi is poised for growth, with increasing revenue, user base, and user penetration rate.
Burundi's retail delivery market is rapidly evolving, with an increasing number of online platforms offering convenient and efficient delivery services to meet the growing consumer demand.

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Analyst Opinion

The Retail Delivery market in Burundi has been experiencing significant growth in recent years.

Customer preferences: Burundi's population is predominantly young, with a median age of 17.8 years. This demographic prefers convenience and speed, making them more likely to opt for home delivery services. This preference for convenience has led to an increase in demand for online shopping and delivery services.

Trends in the market: The Burundian government has been investing in infrastructure development, including the construction of roads and the expansion of the internet network. This has increased access to e-commerce platforms, leading to a surge in online shopping. As a result, the demand for retail delivery services has increased significantly.

Local special circumstances: Burundi is a landlocked country, which limits its access to international markets. This has led to the development of a strong domestic market, with local retailers dominating the market. The lack of competition from international retailers has allowed local businesses to thrive, leading to an increase in demand for retail delivery services.

Underlying macroeconomic factors: Burundi is one of the poorest countries in the world, with a GDP per capita of less than $300. Despite this, the economy has been growing steadily, with an average annual growth rate of 4.5% over the past five years. This growth has been driven by the agriculture sector, which accounts for over 90% of the country's exports. The growth of the economy has led to an increase in disposable income, which has contributed to the growth of the retail 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.