Confectionery & Snacks - Bulgaria

Bulgaria

Revenue in the Confectionery & Snacks Market is projected to reach US$42.69m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 12.96%, resulting in a projected market volume of US$78.50m by 2029.
With a projected market volume of US$60.56bn in 2024, most revenue is generated in the United States.
In the Confectionery & Snacks Market, the number of users is expected to amount to 305.6k users by 2029.
User penetration will be 4.2% in 2024 and is expected to hit 5.2% by 2029.
The average revenue per user (ARPU) is expected to amount to US$194.40.

Key regions: Asia, United Kingdom, United States, India, Europe

Definition:

The eCommerce market Confectionery & Snacks covers digital sales of sweet and savory food items (e.g., sugar confectionery, ice cream, preserved pastry goods, cakes, cookies, and crackers) and salty food (e.g., potato chips, tortilla chips, pretzels). Peanut butter as well as chocolate and nut/nougat spreads are not included in this market.

Structure:

The eCommerce market for Confectionery & Snacks consists of three different markets:

The Confectionery market includes food items with a relatively high sugar. Confectionery has a variety of flavorings, colorings, and other components that give them their distinct taste, texture, and appearance. Confectionery comprises chocolate confectionery, ice cream, preserved pastry goods and cakes and sugar confectionery.
The Snack Food market contains food products that are typically eaten in between meals or as a quick bite. These meals are frequently created to be portable, simple to prepare, and easy to consume. Snack foods can be either salty or sweet. Snack Food comprises cookies and crackers, potato chips, tortilla chips, flips, and pretzels.
The Other Confectionery & Snacks market comprises of products that are not covered by the above mentioned. This includes ice cream cones for example.

Additional Information:

Confectionery & Snacks comprises revenues, users, average revenue per user, and penetration rates. Revenues are derived from annual filings, national statistical offices, Google- and Alibaba-Trends and industry knowledge. Sales Channels show online and offline revenue shares, as well as, desktop and mobile sales distribution. Revenues are including VAT. The market only displays B2C revenues and users for the above-mentioned markets, hence C2C, B2B and reCommerce is not included. Additional definitions can be found on each respective market page.

Key players in the market are companies like Amazon, Tmall, JD, Taobao, Pinduoduo and Walmart.

Market numbers for the total market sizes (online + offline) can also be found on the respective pages of the Consumer Market Insights.

Market

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Currency

Methodology

Data coverage:

Data refers to B2C enterprises. Figures are based on the sale of physical goods via a digital channel to a private end consumer. This definition encompasses purchases via desktop computers (including notebooks and laptops) as well as purchases via mobile devices (e.g., smartphones and tablets). The following are not included in the eCommerce market: digitally distributed services (see instead: eServices), digital media downloads or streams, digitally distributed goods in B2B markets, and the digital purchase or resale of used, defective, or repaired goods (reCommerce and C2C). All monetary figures refer to the annual gross revenue and do not factor in shipping costs.

Modeling approach / Market size:

Market sizes are determined by a combined top-down and bottom-up approach, based on a specific rationale for each market segment. 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., Statista Global Consumer Survey), data on shopping behavior (e.g., Google Trends, Alibaba Trends), and performance factors (e.g., user penetration, price/product). Furthermore, we use relevant key market indicators and data from country-specific associations such as GDP, consumer spending, internet penetration, and population. 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 particular 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, internet penetration, and population.

Additional Notes:

The market is updated twice per year in case market dynamics change. The impact of the COVID-19 pandemic is considered at a country-specific level. The impact of the Russia/Ukraine war is considered at a country-specific level.