Restaurant Delivery - Benin

  • Benin
  • The projected revenue in the Restaurant Delivery market in Benin is expected to reach US$1.69m in 2024.
  • This revenue is expected to show an annual growth rate (CAGR 2024-2029) of 10.94%, resulting in a projected market volume of US$2.84m by 2029.
  • In Benin's Restaurant Delivery market, the number of users is expected to amount to 110.6k users by 2029.
  • The user penetration in Benin is projected to be 0.6% in 2024 and is expected to increase to 0.7% by 2029.
  • The average revenue per user (ARPU) in Benin's Restaurant Delivery market is expected to amount to US$20.62.
  • In global comparison, United States is expected to generate the most revenue, reaching US$36,950.00m in 2024.
  • Among all countries, South Korea has the highest projected user penetration rate at 44.8% in the Restaurant Delivery market.
  • The restaurant delivery market in Benin is experiencing a surge in demand due to the growing urban population and changing consumer preferences.
 
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Analyst Opinion

The popularity of food delivery services has been on the rise in recent years, and Benin is no exception.

Customer preferences:
Benin's restaurant delivery market has been driven by a growing demand for convenience and time-saving options. As more people have busy schedules, they are increasingly looking for ways to enjoy their favorite meals without leaving their homes or offices. Additionally, the COVID-19 pandemic has accelerated this trend, as many people have been forced to stay at home and avoid crowded places. As a result, more customers are turning to food delivery services to satisfy their cravings.

Trends in the market:
One of the key trends in Benin's restaurant delivery market is the emergence of new players. While international brands have dominated the market in the past, local startups are starting to gain traction. These companies are leveraging technology to offer faster and more efficient delivery services, which is helping them to attract more customers. Another trend is the increasing popularity of healthy food options. As more people become health-conscious, they are looking for restaurants and delivery services that offer nutritious meals.

Local special circumstances:
Benin's restaurant delivery market is unique in that it is heavily influenced by local cuisine. Beninese cuisine is known for its diversity, with a wide variety of dishes that reflect the country's cultural heritage. As a result, many delivery services are focused on offering traditional Beninese meals, which are often made with local ingredients and spices. Additionally, many of these services offer delivery of fresh produce and other groceries, which is a popular option among customers who prefer to cook at home.

Underlying macroeconomic factors:
Benin's restaurant delivery market is also influenced by broader macroeconomic factors. The country has a relatively young population, with a high percentage of people under the age of 30. This demographic is more likely to use technology and embrace new trends, which is driving demand for food delivery services. Additionally, Benin's economy has been growing steadily in recent years, which has led to an increase in disposable income. As people have more money to spend, they are more likely to order food delivery services as a way to save time and enjoy their favorite meals.

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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