Retail Delivery - Western Asia

  • Western Asia
  • The Reail Delivery market in Western Asia is projected to reach a revenue of US$9.55bn by 2024.
  • It is expected to experience an annual growth rate (CAGR 2024-2029) of 17.51%, resulting in a projected market volume of US$21.40bn by 2029.
  • By 2029, the number of users in the Reail Delivery market is expected to amount to 42.4m users.
  • The user penetration is projected to increase from 14.4% in 2024 to 18.1% by 2029.
  • The average revenue per user (ARPU) is expected to be US$297.20.
  • When compared globally, United States is anticipated to generate the highest revenue in the Reail Delivery market, with US$195,400.00m in 2024.
  • However, in terms of user penetration, United States is projected to have the highest rate at 30.4%.
  • In Western Asia, the retail delivery market is seeing a surge in demand for online grocery shopping and contactless delivery services.
 
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Analyst Opinion

The Retail Delivery market in Western Asia has been experiencing significant growth in recent years, driven by changing customer preferences and the underlying macroeconomic factors in the region.

Customer preferences:
One of the main drivers of the growth in the Retail Delivery market in Western Asia is changing customer preferences. Consumers are increasingly looking for convenience and speed in their shopping experience, which has led to a surge in demand for online shopping and home delivery services. This trend is particularly pronounced in urban areas, where busy lifestyles and traffic congestion make traditional shopping more challenging.

Trends in the market:
In response to changing customer preferences, retailers in Western Asia are investing heavily in their online and delivery capabilities. Many traditional brick-and-mortar stores are launching their own e-commerce platforms and partnering with third-party delivery services to offer customers more options for shopping and delivery. Additionally, there has been a rise in the number of specialized delivery services, such as grocery and meal delivery, which cater specifically to the needs of busy urban consumers.

Local special circumstances:
The Retail Delivery market in Western Asia faces some unique challenges and opportunities due to the region's geography and demographics. For example, the region's large expatriate population has different shopping habits and preferences than local consumers, which has led to the development of specialized delivery services that cater to these groups. Additionally, the region's high temperatures and harsh climate make it difficult to transport certain products, such as fresh produce, which has led to the development of specialized logistics and supply chain solutions.

Underlying macroeconomic factors:
The growth of the Retail Delivery market in Western Asia is also being driven by underlying macroeconomic factors, such as rising disposable incomes and increasing urbanization. As more people move to cities and earn higher incomes, they are able to spend more on discretionary items and are more likely to shop online and use delivery services. Additionally, the region's young and tech-savvy population is more likely to adopt new technologies and shopping habits, which has helped to drive the growth of the e-commerce and delivery industries.

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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