The Republic of the Congo is a country located in Central Africa with a population of over five million people. The retail delivery market in the country has been developing in recent years, driven by various factors.
Customer preferences: As in many other countries, the Republic of the Congo has seen a shift towards online shopping in recent years. This is driven by the convenience of being able to shop from home and have items delivered directly to one's doorstep. Additionally, customers are increasingly looking for faster and more efficient delivery options, which has led to the growth of same-day and next-day delivery services.
Trends in the market: One of the main trends in the retail delivery market in the Republic of the Congo is the growth of e-commerce. While traditional brick-and-mortar stores still dominate the market, online shopping is becoming increasingly popular, particularly among younger consumers. This has led to the growth of online retailers and marketplaces, as well as the development of new delivery options such as click-and-collect.Another trend in the market is the growth of last-mile delivery services. With the increase in online shopping, there has been a corresponding increase in demand for delivery services that can quickly and efficiently transport packages from distribution centers to customers' homes. This has led to the growth of delivery companies that specialize in last-mile delivery, as well as the development of new technologies such as drones and autonomous vehicles.
Local special circumstances: The retail delivery market in the Republic of the Congo is still relatively underdeveloped compared to other countries in the region. This is due in part to the country's challenging geography, which includes dense rainforests and a lack of infrastructure in many areas. Additionally, the country's economy is heavily dependent on oil exports, which has led to fluctuations in the market in recent years.
Underlying macroeconomic factors: Despite these challenges, there are a number of underlying macroeconomic factors that are driving the growth of the retail delivery market in the Republic of the Congo. These include the country's growing middle class, which is increasingly looking for more convenient and efficient ways to shop. Additionally, the government has made efforts to improve the country's infrastructure, including investing in new roads and transportation networks, which has helped to facilitate the growth of the delivery market. Finally, the increasing availability of mobile phones and internet access has made it easier for consumers to shop online and track their deliveries, which has helped to drive demand for delivery services.
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.
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