Quick Commerce - Western Asia

  • Western Asia
  • The Quick Commerce market in Western Asia is anticipated to achieve a revenue of US$637.20m by the year 2024.
  • This is projected to exhibit a compound annual growth rate (CAGR 2024-2029) of 12.10%, resulting in a market volume of US$1,128.00m by 2029.
  • It is expected that the number of users in this market will reach 7.4m users by 2029.
  • The user penetration rate, which is currently at 2.0% in 2024, is predicted to rise to 3.2% by 2029.
  • The average revenue per user (ARPU) is expected to be around US$140.60.
  • In a global perspective, China is projected to generate the highest revenue in the Quick Commerce market, amounting to US$80,840.00m in 2024.
  • Furthermore, China is expected to have the highest user penetration rate in the Quick Commerce market, with a projected rate of 21.4%.
  • In Western Asia, Quick Commerce is rapidly growing, with online platforms like Talabat and Zomato dominating the market.
 
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Analyst Opinion

Quick Commerce, also known as Q-commerce, is a fast-growing market in Western Asia. This market segment is characterized by the delivery of goods within a short period, typically less than an hour.

Customer preferences:
The demand for Q-commerce services in Western Asia is driven by the growing number of young, tech-savvy consumers who value convenience and speed. This trend is particularly evident in urban areas, where people have busy lifestyles and are willing to pay a premium for fast delivery. Additionally, the COVID-19 pandemic has accelerated the adoption of e-commerce and Q-commerce, as more people prefer to shop online and avoid crowded stores.

Trends in the market:
The Q-commerce market in Western Asia is dominated by food and grocery delivery services, with major players such as Talabat, Deliveroo, and Carrefour Now. However, there is also a growing demand for other types of products, such as electronics, cosmetics, and pharmaceuticals. This trend is driven by the expansion of Q-commerce platforms to new categories and the introduction of innovative delivery models, such as drones and autonomous vehicles.

Local special circumstances:
The Q-commerce market in Western Asia is characterized by a highly competitive landscape, with many local and international players vying for market share. Each country in the region has its own unique market dynamics, regulatory frameworks, and consumer preferences. For example, in Saudi Arabia, the Q-commerce market is dominated by local players such as HungerStation and Jahez, while in the United Arab Emirates, international players such as Uber Eats and Zomato are more popular. Moreover, the region's climate and geography pose specific challenges for Q-commerce operators, such as extreme temperatures and traffic congestion.

Underlying macroeconomic factors:
The development of the Q-commerce market in Western Asia is supported by several macroeconomic factors, such as the region's young and growing population, high smartphone penetration, and increasing disposable income. Additionally, governments in the region are investing heavily in digital infrastructure and promoting entrepreneurship and innovation, which creates a favorable environment for Q-commerce startups. However, the market also faces challenges such as regulatory barriers, logistical complexities, and the need for sustainable business models.

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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