Retail Delivery - North America

  • North America
  • The projected revenue of the Reail Delivery market in North America is estimated to reach US$204.40bn by 2024.
  • It is expected to exhibit a Compound Annual Growth Rate (CAGR) of 13.28% between 2024 and 2029, leading to a projected market volume of US$381.30bn by 2029.
  • Moreover, the number of users in the Reail Delivery market is anticipated to reach 167.9m users by 2029.
  • The user penetration rate, which is the proportion of users to the total population, is projected to be 24.8% in 2024 and is expected to rise to 32.0% by 2029.
  • The average revenue per user (ARPU) in this market is estimated to be US$1.62k.
  • When compared globally, United States is expected to generate the highest revenue in the Reail Delivery market, amounting to US$195,400.00m in 2024.
  • The United States, on the other hand, is projected to have the highest user penetration rate in the Reail Delivery market, reaching 30.4%.
  • In North America, the rise of e-commerce has led to a significant shift in consumer behavior and a decline in traditional brick-and-mortar retail sales.
 
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Analyst Opinion

The retail delivery market in North America has been experiencing significant growth in recent years, driven by changing customer preferences and the rise of e-commerce.

Customer preferences:
Customers in North America are increasingly looking for convenience and speed when it comes to retail delivery. This has led to a rise in demand for same-day and next-day delivery options, as well as the ability to track and manage deliveries through mobile apps. Additionally, customers are becoming more environmentally conscious and are looking for sustainable delivery options, such as electric vehicles and delivery on foot or by bicycle.

Trends in the market:
One major trend in the North American retail delivery market is the growth of e-commerce. As more customers shop online, retailers are investing in their delivery infrastructure to keep up with demand. This has led to the rise of new delivery models, such as click-and-collect and curbside pickup, which allow customers to receive their purchases without the need for home delivery. Another trend is the use of technology to improve delivery efficiency, such as route optimization software and the use of drones for last-mile delivery.

Local special circumstances:
The retail delivery market in North America is highly competitive, with many players vying for market share. In the United States, Amazon has emerged as a dominant player, leveraging its vast logistics network to offer fast and affordable delivery options. Other retailers, such as Walmart and Target, have also invested heavily in their delivery capabilities to keep up with Amazon. In Canada, the market is more fragmented, with a mix of national and regional players competing for customers.

Underlying macroeconomic factors:
The growth of the retail delivery market in North America is being driven by several macroeconomic factors, including the rise of e-commerce, changing customer preferences, and advances in technology. Additionally, the COVID-19 pandemic has accelerated the shift towards online shopping and home delivery, as customers look to avoid crowded stores and limit their exposure to the virus. As a result, retailers are investing heavily in their delivery capabilities to meet the growing demand for online shopping and home delivery.

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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