Retail Delivery - Australia

Australia

Highlights

The Reail Delivery market in Australia is set to witness a significant increase in revenue, with projections indicating that it will reach AUD US$7.23bn by 2024.
Furthermore, an annual growth rate of 10.59% (CAGR 2024-2028) is expected, resulting in a projected market volume of AUD US$10.81bn by 2028.
Within the Australian Reail Delivery market, the number of users is anticipated to rise to 6.7m users by 2028.
In terms of user penetration, it is predicted to be at 20.5% in 2024 and is expected to increase to 24.1% by 2028.
The average revenue per user (ARPU) is projected to be AUD US$1.32k.
When comparing revenue on a global scale, United States is expected to generate the highest revenue in the Reail Delivery market, reaching AUD US$195.40bn in 2024.
On the other hand, United States is projected to have the highest user penetration rate of 30.7% in the Reail Delivery market.
The rise of e-commerce in Australia has led to a significant increase in online retail delivery services.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Retail Delivery market of Online Grocery Delivery dominates the market. Retailers were able to scale their online channels rapidly during the COVID-19 lockdowns to meet the exponential rise in customer demand. Retailers still need to look for ways to attract more customers to keep up with the competition. Walmart for example introduced a service where the delivery driver would deliver groceries to the customer’s fridge.

The growth rates of 2022 will see a slight decline in comparison to 2020 and 2021 due to the uncertainty of macroeconomic factors. Although China has a steady lead over the rest of the regions, the U.S. market shows strong growth signals in our forecast. This is due to the high demand and rapid rise of grocery spending per capita.

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.