Definition:
The Restaurant-to-Consumer Delivery market includes the delivery of meals carried out directly by the restaurants. The order may be made via platforms (e.g. Delivery Hero, Just Eat) or directly through a restaurant website (e.g. Domino's). The aggregation services collect the menus of independent restaurants and specialized delivery services. In other words, they merely lay the technical foundation for the searchability of restaurants and the processing of transactions. The restaurant itself takes care of the delivery process.Additional Information:
Revenue includes the gross merchandise value (GMV), defined as the total sales dollar value for merchandise/food sold through the Online Food Delivery marketplace. User and revenue figures represent B2C services.Notes: Data reflects market impacts of the Russia-Ukraine war.
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
Papua New Guinea, a country located in the southwestern Pacific Ocean, has seen a growing trend in the restaurant delivery market.
Customer preferences: Papua New Guinea has a diverse population with a mix of over 800 different languages spoken across the country. This diversity is reflected in the local cuisine, which includes dishes from various regions. With the busy lifestyle of the urban population, there is a growing demand for food delivery services. Customers prefer to order food online and have it delivered to their doorstep, rather than cooking at home or going out to eat.
Trends in the market: The restaurant delivery market in Papua New Guinea is still in its early stages. However, it is expected to grow rapidly in the coming years due to the increasing demand for convenience and the rise in disposable income. The market is dominated by local players who offer a variety of cuisines, including traditional dishes. The trend of online food ordering and delivery has gained popularity among the younger generation, who are more tech-savvy and prefer to use mobile apps for ordering food.
Local special circumstances: Papua New Guinea is a developing country with limited infrastructure and logistical challenges. The country has a rugged terrain, which makes it difficult to transport goods and services to remote areas. This has led to the emergence of local players who cater to the needs of the local population. These players have a better understanding of the local market and are able to provide customized solutions to their customers.
Underlying macroeconomic factors: The restaurant delivery market in Papua New Guinea is driven by the growth of the urban population and the rise in disposable income. The country has seen a steady increase in its GDP over the past few years, which has contributed to the growth of the middle class. The middle class is a key driver of the restaurant delivery market as they have more disposable income and are willing to spend on convenience. The growth of the e-commerce industry and the increasing penetration of smartphones have also contributed to the growth of the restaurant delivery market in Papua New Guinea.
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
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.Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights