The Meat segment covers animal (both domestic and wild) and non-animal meat that are bought and consumed for nutrient-based purposes.
The segment consists of 3 different subsegments:
The Fresh Meat segment covers meat from both domestic and wild animals that are fresh, chilled, or frozen. This segment is divided into five subsegments: beef & veal, pork, mutton & goat, poultry, and other fresh meat.
The Processed Meat segment covers all types of meat that has been dried, salted, brined, or smoked. This segment is divided into three subsegments: cold & roast meat products, ham & bacon, sausages.
The Meat Substitutes segment covers meat-replacement food items created from vegetarian or vegan components.
The market comprises revenue and average revenue per capita, volume and average volume per capita, price per unit (unit refers to kilogram), sales channels. The market encompasses retail sales through both online and offline sales channels to private end customers (B2C). The market only covers at-home consumption; out-of-home consumption is not included.
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The Consumer Market Outlooks Food category aims to model private household consumption of food at the most granular level possible. All data is modeled based on statistics on industrial production and trade provided by national and international institutions as well as on household budget surveys and agricultural commodity statistics. All revenues and prices refer to retail selling prices inclusive of all applying sales taxes. The market covers unprocessed and processed food.
The data encompasses B2C enterprises. Figures are based on the total consumer spending on food, which comprises all private household spending on food that is meant for at-home consumption (out-of-home consumption is not accounted for).
Market sizes are determined through a top-down approach, building on specific predefined factors for each market segment. As a basis for evaluating markets, we use resources from the Statista platform as well as in-house market research, national statistical offices, international institutions, trade associations, companies, the trade press, and the experience of our analysts. In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, consumer spending, and consumer price index. This data helps us estimate the market size for each country individually.
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 exponential trend smoothing is well suited for forecasting the Food market with a projected steady growth. The main drivers are GDP per capita and consumer spending per capita.
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.