Restaurant Delivery - Finland

Finland

Highlights

The Restaurant Delivery market in Finland is expected to reach a projected revenue of US$222.60m by 2024.
It is anticipated that the market will continue to grow at an annual rate of 5.10% (CAGR 2024-2029), resulting in a projected market volume of US$285.50m by 2029.
In terms of user numbers, the Restaurant Delivery market is expected to have approximately 2.2m users users by 2029.
The user penetration rate, which currently stands at 32.6% in 2024, is projected to increase to 39.5% by 2029.
The average revenue per user (ARPU) is expected to be US$123.00.
When compared globally, United States is forecasted to generate the highest revenue in the Restaurant Delivery market, amounting to US$36.95bn in 2024.
On the other hand, South Korea is projected to have the highest user penetration rate in the market, reaching 44.8%.
The restaurant delivery market in Finland is booming, with a wide variety of local and international cuisine options available for convenient and efficient delivery.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The popularity of restaurant delivery services has been on the rise in Finland in recent years, driven by changing consumer preferences and technological advancements.

Customer preferences: Finnish consumers are increasingly looking for convenience and time-saving options when it comes to dining. As a result, restaurant delivery services have become a popular choice for many, especially among younger generations. In addition, the COVID-19 pandemic has accelerated the adoption of food delivery services, as more people are staying at home and avoiding crowded places.

Trends in the market: The Finnish restaurant delivery market is becoming increasingly competitive, with both local and international players vying for market share. One trend that has emerged is the rise of online platforms that aggregate multiple restaurants and offer a wide range of cuisines to consumers. Another trend is the growing popularity of healthy food options and sustainable practices, with many restaurants and delivery services offering plant-based and environmentally friendly choices.

Local special circumstances: Finland's harsh climate and long winters can make it challenging for restaurants to attract customers during certain times of the year. This has led many establishments to turn to delivery services as a way to reach customers who may not want to venture out in the cold. In addition, Finland's relatively small population and dispersed geography can make it difficult for restaurants to reach a large customer base, making delivery services an attractive option.

Underlying macroeconomic factors: Finland's strong economy and high standard of living have contributed to the growth of the restaurant delivery market. With disposable income on the rise, consumers are more willing to spend money on convenience and luxury services like food delivery. Additionally, Finland's highly developed technology sector has enabled the growth of online platforms and mobile apps that make it easy for consumers to order food from their favorite restaurants.

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.