Quick Commerce - United Arab Emirates

United Arab Emirates

Highlights

The Quick Commerce market in the United Arab Emirates is projected to reach a revenue of US$3.27m in 2024.
This market is expected to show an annual growth rate (CAGR 2024-2029) of 7.71%, resulting in a projected market volume of US$4.74m by 2029.
By 2029, the number of users in the Quick Commerce market is expected to amount to 1.2m users.
The user penetration in this market is projected to be 9.8% in 2024 and is expected to reach 12.3% by 2029.
The average revenue per user (ARPU) is expected to be US$3.48.
When compared globally, the majority of the revenue in the Quick Commerce market will be generated China, amounting to US$80.84bn in 2024.
China also has the highest projected user penetration rate of 21.4% in the Quick Commerce market.
The Quick Commerce market in the United Arab Emirates is experiencing a surge in demand due to the country's high population density and fast-paced lifestyle.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Quick Commerce market in United Arab Emirates has been rapidly developing in recent years, driven by changing customer preferences and local special circumstances.

Customer preferences: Customers in United Arab Emirates are increasingly looking for convenience and speed when it comes to shopping. Quick Commerce companies are able to offer this through their fast delivery times, often within an hour of ordering. Additionally, customers in United Arab Emirates are increasingly turning to online shopping, which has further boosted the Quick Commerce market.

Trends in the market: One trend in the Quick Commerce market in United Arab Emirates is the increasing use of mobile apps for ordering and delivery. Many Quick Commerce companies have developed their own apps, which customers can use to easily order and track their deliveries. Another trend is the expansion of Quick Commerce companies into new areas, such as groceries and pharmaceuticals. This has allowed these companies to become a one-stop-shop for customers, further increasing their convenience.

Local special circumstances: United Arab Emirates has a large expatriate population, many of whom are time-poor and willing to pay for convenience. This has created a strong market for Quick Commerce companies, which are able to offer fast and convenient delivery of a wide range of products. Additionally, the hot climate in United Arab Emirates means that customers are often reluctant to leave their homes to shop, further boosting the Quick Commerce market.

Underlying macroeconomic factors: The United Arab Emirates has a strong and growing economy, which has created a large consumer market for Quick Commerce companies to tap into. Additionally, the government has been supportive of the development of the Quick Commerce market, which has helped to create a favorable regulatory environment. Finally, the high levels of smartphone penetration in United Arab Emirates have made it easier for Quick Commerce companies to reach customers and offer their 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.