Retail Delivery - Finland

Finland

Highlights

The Reail Delivery market in Finland is projected to reach a revenue of US$1.20bn in 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 7.32%, resulting in a projected market volume of US$1.71bn by 2029.
By 2029, the number of users in the Reail Delivery market is expected to amount to 1.6m users.
The user penetration rate is predicted to be 23.7% in 2024 and is expected to increase to 29.5% by 2029.
The average revenue per user (ARPU) is projected to be US$914.10.
In global comparison, United States is expected to generate the most revenue in the Reail Delivery market, reaching US$195.40bn in 2024.
The United States has the highest projected user penetration rate in the Reail Delivery market, with a rate of 30.4%.
The rise of e-commerce in Finland has led to an increased demand for efficient and convenient retail delivery options.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The popularity of online shopping is increasing globally, and Finland is not an exception to this trend. The Retail Delivery market in Finland is developing rapidly due to the growing demand for online shopping and the convenience it provides to customers.

Customer preferences: Customers in Finland are increasingly turning to online shopping due to the convenience it offers. With busy lifestyles and the need for social distancing during the pandemic, customers prefer to shop online and have their purchases delivered to their doorstep. Customers also appreciate the variety of products available online and the ability to compare prices easily.

Trends in the market: The Retail Delivery market in Finland is witnessing several trends. One of the major trends is the use of technology to improve the delivery process. Companies are investing in technology to track their deliveries in real-time and provide customers with accurate delivery times. Another trend is the use of sustainable packaging and delivery methods. Customers are increasingly concerned about the environmental impact of their purchases, and companies are responding by using eco-friendly packaging and delivery methods.

Local special circumstances: Finland has a unique geography, with many remote areas that are difficult to access. This has led to the development of innovative delivery methods, such as using drones and robots to deliver packages. The country also has a strong logistics infrastructure, which makes it easier for companies to deliver products quickly and efficiently.

Underlying macroeconomic factors: The Finnish economy is stable, with a high standard of living and a strong focus on innovation. This has created a favorable environment for the Retail Delivery market to thrive. The government has also been supportive of the e-commerce industry, providing incentives for companies to invest in technology and innovation. The pandemic has further accelerated the growth of the Retail Delivery market in Finland, as more customers are turning to online shopping for their everyday needs.

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.