Meat Snacks (Savory Snacks) Market in Sweden - Outlook to 2022: Market Size, Growth and Forecast Analytics
Meat Snacks (Savory Snacks) Market in Sweden - Outlook to 2022: Market Size, Growth and Forecast Analytics is a broad level market review of Meat Snacks market in Sweden.
Meat Snacks - Ambient savoury snacks made from meat which are specifically designed for snacking on (i.e. they don't form part of a main meal occasion such as breakfast, lunch or dinner). Includes Pepperami.
Meat Snacks market in Sweden registered a positive compound annual growth rate (CAGR) of 2.95% during the period 2012 to 2017 with a sales value of SEK 164.49 Million in 2017, an increase of 3.72% over 2016. The market achieved its strongest performance in 2017, when it grew by 3.72% over its previous year and its weakest performance in 2013, when it increased by 2.69% over 2012.
The research handbook provides up-to-date market size data for period 2012-2017 and illustrative forecast to 2022 covering key market aspects like Sales Value and Volume for Meat Snacks and its variants.
Furthermore, the research handbook details overall market sales by Distribution Channel (Hypermarkets & Supermarkets, Convenience Stores, Department Stores, Dollar Stores, Variety Store, Cash & Carries and Warehouse clubs, eRetailers, Food & Drinks specialists, Drug stores & Pharmacies, Health & Beauty Stores, Other general retailers and others) where ever applicable.
The research handbook acts as an essential tool for companies active or planning to venture in to Sweden's Meat Snacks (Savory Snacks) market. The comprehensive statistics within the research handbook provides insight into the operating environment of the market and also ensures right business decision making based on historical trends and industry model based forecasting.
Sales Values in the handbook are depicted in USD ($) and local currency of country and Volumes are represented in M Kilograms.
*Note:Certain content / sections in the research handbook may be removed or altered based on the availability and relevance of data.
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