Quick Commerce - Ivory Coast

  • Ivory Coast
  • The Quick Commerce market in Ivory Coast is projected to reach a revenue of US$23.08m in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 13.66%, resulting in a projected market volume of US$43.78m by 2029.
  • By 2029, the number of users in the Quick Commerce market is expected to amount to 1.9m users.
  • The user penetration is predicted to be 4.2% in 2024 and is expected to increase to 5.6% by 2029.
  • The average revenue per user (ARPU) is estimated to be US$18.78.
  • In global comparison, China is expected to generate the most revenue in the Quick Commerce market, with US$80,840.00m in 2024.
  • China also has the highest projected user penetration rate of 21.4% in the Quick Commerce market.
  • Ivory Coast's quick commerce market is rapidly expanding, with a surge in demand for fast and convenient delivery services.
 
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Analyst Opinion

Quick Commerce, also known as Q-Commerce, is a rapidly growing sector of the retail industry in Ivory Coast. With the rise of e-commerce and the increasing demand for fast and convenient delivery services, Q-Commerce has become a popular choice for many consumers in the country.

Customer preferences:
Ivory Coast consumers are increasingly looking for convenience and speed in their shopping experiences. With busy lifestyles and limited time, many consumers are turning to Q-Commerce to fulfill their shopping needs. The ability to order products online and have them delivered quickly and efficiently is a major draw for many consumers.

Trends in the market:
One of the major trends in the Q-Commerce market in Ivory Coast is the rise of mobile commerce. With the widespread use of smartphones and mobile devices, many consumers are now using these devices to shop online and place orders for delivery. This trend is expected to continue as more consumers become comfortable with mobile shopping and as mobile technology continues to improve.Another trend in the Q-Commerce market in Ivory Coast is the increasing popularity of subscription-based services. Many consumers are now signing up for monthly or yearly subscriptions that provide them with regular deliveries of products they use on a regular basis. This trend is particularly popular for products like groceries, household items, and personal care products.

Local special circumstances:
One of the unique factors affecting the Q-Commerce market in Ivory Coast is the country's relatively low level of internet penetration. While internet usage is growing rapidly in the country, many consumers still do not have access to the internet or do not use it regularly. This means that Q-Commerce companies must find ways to reach consumers who may not be online, such as through traditional advertising or partnerships with local retailers.

Underlying macroeconomic factors:
The Q-Commerce market in Ivory Coast is being driven by a number of macroeconomic factors, including the country's growing middle class and increasing urbanization. As more consumers move to urban areas and earn higher incomes, they are looking for more convenient and efficient ways to shop. Additionally, the government's efforts to improve infrastructure and transportation in the country are making it easier for Q-Commerce companies to deliver products quickly and efficiently to consumers.

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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