Meal Delivery - Nordics

  • Nordics
  • In 2024, the Meal Delivery market in the Nordics is projected to reach a revenue of US$1.57bn.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 5.79%, resulting in a projected market volume of US$2.08bn by 2029.
  • The Platform Deliverymarket in the Nordics is projected to have a market volume of US$1.28bn in 2024.
  • In global comparison, China is expected to generate the highest revenue, reaching US$184,500.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market in the Nordics is projected to be US$148.00 in 2024.
  • By 2029, the number of users in the Meal Delivery market in the Nordics is expected to reach 12.5m users.
  • The user penetration in the Meal Delivery market in the Nordics will be at 37.8% in 2024.
  • In the Nordics, meal delivery services have gained significant popularity due to the region's busy and health-conscious lifestyle.
 
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Analyst Opinion

The Meal Delivery market in Nordics has seen a significant increase in demand over the past few years.

Customer preferences:
One of the main reasons for this growth is the increasing popularity of healthy and convenient food options. Customers in the Nordics are becoming more health-conscious and are looking for meal options that are not only nutritious but also easy to prepare. Meal delivery services provide a solution to this demand by offering pre-prepared meals that can be delivered straight to the customer's doorstep. Additionally, the convenience of meal delivery services is appealing to busy customers who do not have the time to cook.

Trends in the market:
One trend that is emerging in the Nordics is the rise of plant-based meal delivery options. Many customers are looking for sustainable and environmentally friendly meal options, and plant-based meals provide a solution to this demand. Another trend is the increasing use of technology in the meal delivery market. Many companies are using apps and online platforms to make it easier for customers to order and track their meals.

Local special circumstances:
The Nordics also have a unique food culture that is influencing the meal delivery market. Nordic cuisine is known for its use of fresh and locally sourced ingredients, and many meal delivery services are incorporating these elements into their menus. Additionally, the Nordic countries have a strong tradition of social welfare, and many meal delivery services are offering free or discounted meals to vulnerable groups in society.

Underlying macroeconomic factors:
The growing demand for meal delivery services in the Nordics is also being driven by underlying macroeconomic factors. The region has a high level of disposable income, which means that customers are willing to pay a premium for high-quality meal delivery services. Additionally, the Nordics have a strong economy and low unemployment rates, which means that more people are working and have less time to cook. Finally, the COVID-19 pandemic has accelerated the growth of the meal delivery market in the Nordics, as more people are staying at home and avoiding restaurants.

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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