Market Insights Digital Online Food Delivery Meal Delivery

Restaurant Delivery - Papua New Guinea

Papua New Guinea

The Restaurant Delivery market in Papua New Guinea is projected to reach a revenue of US$0.96m in 2024.
This represents a significant growth potential for the country's restaurant delivery industry.
Moreover, it is expected that the market will continue to expand at an annual growth rate (CAGR 2024-2028) of 7.03%, reaching a projected market volume of US$1.26m by 2028.
This indicates a positive trend in the demand for restaurant delivery services in Papua New Guinea.
In terms of user engagement, it is estimated that the number of users in the Restaurant Delivery market will increase to 83.9k users by 2028.
This suggests a growing interest and adoption of restaurant delivery services among consumers in the country.
Additionally, the user penetration rate, which measures the percentage of the population using restaurant delivery services, is projected to rise from 0.7% in 2024 to 0.8% by 2028.
This indicates a gradual increase in the popularity and acceptance of restaurant delivery in Papua New Guinea.
When considering the average revenue per user (ARPU), it is expected to amount to US$13.57.
This metric reflects the average amount of revenue generated per user in the restaurant delivery market.
It is an important indicator of the financial performance and profitability of the industry in Papua New Guinea.
In a global comparison, it is worth noting that in the United States is anticipated to generate the highest revenue in the Restaurant Delivery market, with an estimated value of US$36,950.00m in 2024.
This highlights the significant market size and potential in the United States.
However, it is important to acknowledge that the growth rate and user penetration in Papua New Guinea's restaurant delivery market show promising prospects for the country's industry.
Moreover, it is noteworthy that in South Korea is projected to have the highest user penetration rate in the Restaurant Delivery market, with a projected rate of 53.5%.
This indicates a high level of acceptance and utilization of restaurant delivery services among the population of South Korea.
Overall, the Restaurant Delivery market in Papua New Guinea is expected to experience steady growth in revenue, user engagement, and user penetration.
This presents opportunities for both businesses and consumers in the country's restaurant delivery industry.
Papua New Guinea's restaurant delivery market is rapidly expanding, catering to the growing urban population's demand for convenient and diverse food options.

Key regions: Asia, Europe, South Korea, Germany, China

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Analyst Opinion

The Restaurant Delivery model gained track fast, as it provided an easy solution for restaurants to switch from phone to online orders. Players like Just Eat, Delivery Hero or Takeaway.com strongly pushed the global markets in the recent decade, and global fast food chains like Domino's have adopted their digital strategies, too. The fierce competition resulted in thinner margins as companies poach customers from each other, so currently the market is in its consolidation phase with major M&A deals happening in all regions. Since adoption rates for this market are already high, it is likely towill likely grow slower in the next years and probably convergedelivery models.

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.