Quick Commerce - Morocco

Morocco

Highlights

The Quick Commerce market in Morocco is projected to achieve a revenue of US$51.45m in 2024.
This is expected to display a compound annual growth rate (CAGR 2024-2029) of 9.13%, resulting in a projected market volume of US$79.63m by 2029.
Moreover, the number of users in the Quick Commerce market is anticipated to reach 2.8m users by 2029.
The user penetration is estimated to be 4.9% in 2024 and is projected to increase to 7.0% by 2029.
Additionally, the average revenue per user (ARPU) is forecasted to be US$27.33 in Morocco.
When compared globally, China is expected to generate the highest revenue in the Quick Commerce market, reaching US$80.84bn in 2024.
Furthermore, China exhibits the highest user penetration rate in the Quick Commerce market, projected to be 21.4%.
Morocco's quick commerce market is growing rapidly, with a surge in online grocery shopping and on-demand food delivery services.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Quick Commerce, also known as q-commerce, is a rapidly growing market that is revolutionizing the retail industry. Morocco, a country located in North Africa, is no exception to this trend.

Customer preferences: Moroccan customers are increasingly seeking convenience and speed when it comes to their shopping experiences. With the rise of e-commerce and the increasing availability of smartphones, customers are looking for ways to order products quickly and have them delivered to their doorsteps in a matter of hours. This has led to the growth of the q-commerce market in Morocco, as companies seek to meet the demand for fast and efficient delivery services.

Trends in the market: One of the key trends in the q-commerce market in Morocco is the rise of local players. While international companies such as Amazon and Uber Eats have a presence in the country, local companies such as Jumia and Glovo are also gaining market share. These companies have a better understanding of the local market and are able to tailor their services to meet the needs of Moroccan customers.Another trend in the q-commerce market in Morocco is the increasing use of technology to improve the delivery process. Companies are using artificial intelligence and machine learning to optimize delivery routes and improve the accuracy of delivery times. This has led to faster and more reliable delivery services, which are essential in a market where customers value speed and convenience.

Local special circumstances: Morocco has a unique geography that presents challenges for the q-commerce market. The country has a large rural population, which can be difficult to reach with traditional delivery methods. However, companies are finding innovative ways to overcome this challenge. For example, some companies are using drones to deliver packages to remote areas, while others are partnering with local stores to provide pick-up points for customers.

Underlying macroeconomic factors: Morocco has a rapidly growing economy, which is driving the growth of the q-commerce market. The country has a young and tech-savvy population that is increasingly using smartphones and other digital devices to shop online. Additionally, the government is investing in infrastructure projects such as highways and airports, which are making it easier for companies to deliver products quickly and efficiently. These underlying macroeconomic factors are creating a favorable environment for the q-commerce market to thrive in Morocco.

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.