Analyst Opinion
The Meal Kit Delivery market has been rapidly growing in recent years due to the convenience it offers to consumers who want to cook their own meals at home with minimal effort. Customer preferences:
Trends in the market:
In the United States, the Meal Kit Delivery market has been growing rapidly due to the busy lifestyles of consumers who want to eat healthy but do not have the time to plan and prepare meals. The market is also driven by the increasing popularity of cooking shows and food blogs that have inspired consumers to try new recipes at home. In Europe, the market is growing due to the increasing demand for organic and locally sourced ingredients. In Asia, the market is still in its early stages but is expected to grow rapidly due to the increasing popularity of Western cuisine and the growing middle class.Local special circ*mstances:
In the United States, the Meal Kit Delivery market is dominated by a few major players such as Blue Apron, HelloFresh, and Plated. These companies offer a variety of meal options and cater to different dietary restrictions. In Europe, the market is more fragmented with many small local players offering niche meal options. In Asia, the market is still in its early stages with a few major players such as Cookit and Freshbox offering meal kit delivery services.Underlying macroeconomic factors:
The Meal Kit Delivery market is driven by changing consumer preferences and the increasing demand for healthy and convenient meal options. The market is also influenced by macroeconomic factors such as income levels, urbanization, and technological advancements. As income levels rise, consumers are willing to spend more on healthy and convenient meal options. Urbanization has also played a role in the growth of the market as consumers living in cities have less time to cook and are more likely to order meal kit delivery services. Technological advancements have made it easier for companies to offer meal kit delivery services and for consumers to order and track their deliveries.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. All monetary figures refer to consumer spending on digital goods or subscriptions in the respective market. Gross merchandise value is calculated prior to the deduction of any fees or expenses..
Modeling approach:
Market sizes are determined through a bottom-up approach, building on specific predefined factors for each market. As a basis for evaluating markets, we use annual financial reports of the market-leading companies and industry associations, third-party studies and reports, survey results from our primary research (e.g., the Statista Consumer Insights Global survey), data on shopping behavior (e.g., Google Trends, Alibaba Trends), as well as performance factors (e.g., user penetration, price per product, usage). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, number of internet users, and internet consumption. 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 are well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers are GDP per capita, consumer spending per capita, and internet penetration.
Additional notes:
The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the data is updated on an ad hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is reweighted for representativeness.
