The Confectionery & Snacks segment includes both confectionery and snacks subsegments. Confectionery is defined as foods with a relatively high sugar content, such as chocolate and chocolate products, sugar confectionery such as chewing gum, sweets, ice cream, preserved pastry goods and cakes. Snack Foods are typically eaten in between meals or as a quick bite.
The segment consists of two different subsegments:
The Confectionery segment covers foods with a relatively high sugar content. This segment is divided into four subsegments: chocolate confectionery, ice cream, preserved pastry goods and cakes and sugar confectionery.
The Snack Food segment covers sweet, savory, and salty snacks. This segment is divided into three subsegments: cookies and crackers, potato chips, tortilla chips, flips, and pretzels.
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 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.