Coca-Cola is on the top of the non–alcoholic beverages market

Pavel Prikhodko, Ph.D. Machine Learning

The non-alcoholic beverages market in the United States comprises categories such as tea and coffee, bottled water, soft drinks and energy drinks; carbonated soft drinks make up the largest segment of this market. Coca-Cola Co. is the undisputed leader among liquid refreshment brands in the country. The overall U.S. market share of Coca-Cola in 2014 amounted to 42.3 percent (the company’s worldwide revenue approximated to around $46 billion). Similar numbers were recorded in the U.S. in the two previous years: 42.2 percent in 2013 and 42 percent in 2012.

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Some people prefer healthier drinks consisting of natural juices. The most popular refrigerated juice brand in 2015 was Tropicana Pure Premium, with about $958.26 million in sales in 2015. Simply Orange was the second-ranked refrigerated juice brand in the United States (about $746.92 million in sales last year). The sales of private label juices and Florida’s Natural approximated to $538.58 million and $358.38 million respectively. Minute Maid Premium took fifth place with $218.59 million worth of sales in 2015.

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In 2015, coconut water sales topped $770 million in the U.S. Vito Coco was the best-selling coconut water brand with sales amounting to $267.6 million in 2013, while the sales of Zico and O.N.E Coconut water reached $86.7 million and $40.4 million accordingly.

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According to a survey conducted in 27 countries around the world in 2015 (published by GfK Roper Reports on Statista.com), the most popular beverage is tap water: About 72 percent of respondents stated that they consumed tap water weekly or more often. Milk was the second choice (67 percent) and tea was third, with 61 percent of respondents defining themselves as regular tea drinkers. Only 42 percent of respondents identified as regular drinkers of carbonated soft drinks.

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About Pavel Prikhodko

Pavel Prikhodko, Ph.D. Machine Learning

Pavel has worked for many years as a researcher and developer on a wide range of applications (varying from mechanics and manufacturing to social data, finance and advertising), building predictive systems and trying to find stories that data can tell.

In his free time, he enjoys being with his family.

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