Retail Delivery - Ivory Coast

Ivory Coast

Highlights

The Reail Delivery market in Ivory Coast is projected to reach a revenue of US$87.41m in 2024.
This is expected to show an annual growth rate (CAGR 2024-2029) of 4.10%, resulting in a projected market volume of US$106.90m by 2029.
By 2029, the number of users in the Reail Delivery market is expected to amount to 4.3m users.
The user penetration in Ivory Coast is predicted to be 9.5% in 2024 and is expected to increase to 12.8% by 2029.
The average revenue per user (ARPU) is projected to be US$31.14.
In global comparison, United States is expected to generate the highest revenue in the Reail Delivery market, reaching US$195.40bn in 2024.
The United States, on the other hand, is projected to have the highest user penetration rate of 30.4%.
Ivory Coast's retail delivery market is experiencing a surge in demand due to the growing middle class and increasing urbanization.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Ivory Coast Retail Delivery market is undergoing significant changes and developments in recent years.

Customer preferences: Ivory Coast customers have been increasingly demanding convenience and speed in their shopping experiences. As a result, the demand for retail delivery services has been on the rise. Customers prefer to shop online and have their items delivered to their doorstep, saving them time and effort. Additionally, customers have become more tech-savvy, with the majority of the population owning a smartphone, making it easier for them to shop online and track their deliveries.

Trends in the market: One of the major trends in the Ivory Coast Retail Delivery market is the emergence of e-commerce platforms. These platforms have been gaining popularity, with more and more retailers joining the trend. This has led to increased competition, which has resulted in better services and lower prices for customers. Another trend is the rise of same-day delivery services, which have been gaining traction in the market. This trend is a response to the demand for speed and convenience, as customers want their items delivered as soon as possible.

Local special circumstances: Ivory Coast has a unique market, with a young population and a growing middle class. The country has a high urbanization rate, with the majority of the population living in cities. This has made it easier for retailers to offer delivery services, as most of their customers are concentrated in urban areas. Additionally, the country has a large informal economy, which has led to the emergence of small, local retailers who offer delivery services to their customers.

Underlying macroeconomic factors: The Ivory Coast economy has been growing steadily in recent years, with a focus on diversification and modernization. This has led to increased investment in the retail industry, which has resulted in the development of modern retail formats, such as supermarkets and malls. This has also led to increased competition, as retailers compete to offer better services and prices to customers. Additionally, the government has been investing in infrastructure, such as roads and telecommunications, which has made it easier for retailers to offer delivery services to their customers.

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.