Retail Delivery - Papua New Guinea

Papua New Guinea

Highlights

The Reail Delivery market in Papua New Guinea is projected to reach a revenue of US$38.98m by 2024.
This is expected to show an annual growth rate (CAGR 2024-2028) of 21.79%, resulting in a projected market volume of US$85.77m by 2028.
Additionally, the number of users in the Reail Delivery market is expected to amount to 1.3m users by 2028.
The user penetration in the market is predicted to be 8.3% in 2024 and is projected to increase to 11.6% by 2028.
Furthermore, the average revenue per user (ARPU) is expected to amount to US$43.23.
In global comparison, United States is anticipated to generate the most revenue in the Reail Delivery market, with a projected revenue of US$195.40bn in 2024.
On the other hand, United States is expected to have the highest user penetration rate in the market with a projected rate of 30.7%.
The retail delivery market in Papua New Guinea is experiencing a surge in demand for e-commerce services due to the country's geographical challenges and limited access to physical stores.

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.