Revenue of the live music industry


Pavel Prikhodko, Ph.D. Machine Learning

According to data (published at on the revenues of the live music industry in the U.S., live music tickets sales generated $6.78 billion in 2012 — since then, the numbers have continued only to grow. In 2013, sales of live music tickets amounted to $6.88 billion. The numbers kept growing in the following years, reaching $7.02 billion in 2014 and continued to grow to $7.2 billion in 2015. In 2016, ticket sales generated an impressive $7.42 billion.

The forecast suggests that the upward trend in ticket sales revenue will only continue; In 2017, revenue from ticket sales is predicted to reach approximately $7.74 billion. In 2018 and 2019, the forecast predicts revenues to reach $8.16 billion and $8.59 billion respectively. Live music ticket sales revenues will break the $9 billion mark in 2020, generating an expected $9.1 billion. The forecast predicts a peak in 2021: $9.55 billion.


Which music tours in North America are the most successful? In 2016, Luke Bryan’s tour, which sold nearly 1.43 million tickets, held the title. Garth Brooks came in a close second, selling 1.4 million tickets. One of the star influencers in the modern pop industry, Beyonce, sold about 1.37 million tickets during her tour in 2016.

Rock icons Guns N’ Roses showed that they still have bullets in their guns — their tour sold about 1.13 million tickets in North America. Rounding out the top five, one of the most respected and legendary American singer/songwriters Bruce Springsteen’s tour sold 977,000 tickets.


Live concerts featuring a main headliner enjoyed the most popularity among live music events in 2016; nearly 60 percent of the survey respondents attended this type of concert.

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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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