Retail Delivery - Oman

  • Oman
  • The Reail Delivery market in Oman is projected to reach a revenue of US$235.50m by 2024.
  • It is expected to demonstrate an annual growth rate (CAGR 2024-2029) of 14.12%, resulting in a projected market volume of US$455.80m by 2029.
  • In Oman's Reail Delivery market, the number of users is anticipated to reach 1.1m users by 2029.
  • The user penetration rate is predicted to be 18.4% in 2024 and is expected to rise to 22.7% by 2029.
  • Furthermore, the average revenue per user (ARPU) is estimated to be US$270.90.
  • When compared globally, United States is anticipated to generate the highest revenue in the Reail Delivery market, amounting to US$195,400.00m in 2024.
  • Additionally, United States is expected to have the highest user penetration rate in the Reail Delivery market, projected at 30.4%.
  • Despite the global rise of online shopping, traditional brick-and-mortar retail stores continue to dominate the retail delivery market in Oman.
 
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Analyst Opinion

The Retail Delivery market in Oman has been experiencing significant growth in recent years.

Customer preferences:
Omani customers are increasingly turning to online shopping due to the convenience and safety it offers. This has led to a rise in demand for home delivery services, particularly for groceries and household items. Customers are also looking for faster and more reliable delivery options, with same-day and next-day delivery becoming increasingly popular.

Trends in the market:
One of the key trends in the Retail Delivery market in Oman is the growing popularity of e-commerce platforms. Major players such as Amazon and Noon have entered the market, offering customers a wide range of products at competitive prices. Local retailers are also expanding their online presence, with many launching their own e-commerce websites. As a result, the competition in the market has intensified, leading to an increased focus on customer experience and delivery speed.Another trend in the market is the rise of last-mile delivery solutions. Logistics companies are investing in technology and infrastructure to improve the efficiency of their delivery networks. This includes the use of drones and autonomous vehicles to deliver packages, as well as the development of smart logistics hubs to streamline the delivery process.

Local special circumstances:
The Retail Delivery market in Oman is unique due to its geography and demographics. The country has a relatively small population spread across a large area, which presents logistical challenges for delivery companies. Additionally, many Omani customers prefer to pay in cash on delivery, which requires a different approach to payment processing than in other markets.

Underlying macroeconomic factors:
The growth of the Retail Delivery market in Oman is driven by several macroeconomic factors. These include the government's focus on developing the e-commerce sector and improving the country's digital infrastructure. The young and tech-savvy population is also contributing to the growth of the market, as they are more likely to shop online and use delivery services. Finally, the COVID-19 pandemic has accelerated the shift towards online shopping and home delivery, further boosting the demand for Retail Delivery services in Oman.

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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