Retail Delivery - Qatar

Qatar

Highlights

The Reail Delivery market in Qatar is anticipated to achieve a revenue of US$429.40m by 2024.
This projection indicates an expected annual growth rate (CAGR 2024-2029) of 14.77%, resulting in a projected market volume of US$855.00m by 2029.
Furthermore, the number of users in the Reail Delivery market is projected to reach 1.0m users by 2029.
The user penetration rate is expected to increase from 25.9% in 2024 to 35.8% by 2029.
The average revenue per user (ARPU) is estimated to be US$604.70.
In comparison to other countries, United States is anticipated to generate the highest revenue in the Reail Delivery market, totaling US$195.40bn in 2024.
On the other hand, United States is expected to have the highest user penetration rate, reaching 30.4%.
The rise of e-commerce platforms in Qatar has revolutionized the retail delivery market, providing convenient and efficient services to consumers.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Retail Delivery market in Qatar has experienced significant growth in recent years.

Customer preferences: Qatar's population is relatively young and tech-savvy, with a high disposable income. As a result, they prefer convenience and speed when it comes to shopping. This has led to a surge in demand for online shopping and home delivery services. Customers in Qatar are increasingly turning to e-commerce platforms for their shopping needs, with a preference for same-day or next-day delivery.

Trends in the market: The Retail Delivery market in Qatar has been growing at a rapid pace, driven by the increasing demand for e-commerce and home delivery services. The market is highly competitive, with both local and international players vying for market share. Online grocery shopping has become increasingly popular, with major retailers offering home delivery services. Delivery services for other retail items such as electronics, fashion and beauty products have also been growing in popularity.

Local special circumstances: Qatar has a small population, but it has one of the highest GDP per capita in the world. This has created a consumer market with high purchasing power and a preference for luxury goods. Additionally, Qatar has a large expat population, with many residents coming from countries where online shopping and home delivery services are already well-established. This has helped to drive demand for these services in Qatar.

Underlying macroeconomic factors: Qatar's economy is heavily reliant on the oil and gas industry, which has been a major driver of economic growth in recent years. However, the government has been working to diversify the economy and reduce its reliance on oil and gas. This has led to increased investment in infrastructure, including the development of e-commerce platforms and logistics networks. Additionally, Qatar is set to host the FIFA World Cup in 2022, which has spurred investment in the country's infrastructure and is expected to boost economic growth.

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.