Welcome!

@CloudExpo Authors: Liz McMillan, Dana Gardner, Zakia Bouachraoui, Yeshim Deniz, Pat Romanski

News Feed Item

iTunes Store Sets New Record with 25 Billion Songs Sold

Apple® today announced that music fans have purchased and downloaded more than 25 billion songs from the iTunes Store® (www.itunes.com), the world’s most popular online music, TV and movie store. The 25 billionth song, “Monkey Drums” (Goksel Vancin Remix) by Chase Buch, was purchased by Phillip Lüpke from Germany. As the downloader of the 25 billionth song, Phillip will receive a €10,000 iTunes® Gift Card.

iTunes Store Sets New Record with 25 Billion Songs Sold (Photo: Business Wire)

iTunes Store Sets New Record with 25 Billion Songs Sold (Photo: Business Wire)

“We are grateful to our users whose passion for music over the past 10 years has made iTunes the number one music retailer in the world,” said Eddy Cue, Apple’s senior vice president of Internet Software and Services. “Averaging over 15,000 songs downloaded per minute, the iTunes Store connects music fans with their favorite artists, including global sensations like Adele and Coldplay and new artists like The Lumineers, on a scale we never imagined possible.”

“In a lot of ways, iTunes has leveled the playing field for musicians. Whether you’re unsigned, indie, major, whatever—it’s the place most people go to buy digital music,” said Wesley Schultz, guitarist and lead vocalist of The Lumineers. “iTunes doesn’t exclude any musicians simply because they’re not yet established or popular.”

The iTunes Store is the world’s most popular music store with a catalog of over 26 million songs and over 25 billion songs downloaded, and is available in 119 countries. The iTunes Store is the best way for iPhone®, iPad®, iPod®, Mac® and PC users to legally discover, purchase and download music online. All music on the iTunes Store comes in iTunes Plus®, Apple’s DRM-free format with high-quality 256 kbps AAC encoding for audio virtually indistinguishable from the original recordings. iTunes in the Cloud lets you download your previously purchased iTunes music to your devices at no additional cost, and new music purchases can be downloaded automatically to your iOS devices.

Apple designs Macs, the best personal computers in the world, along with OS X, iLife, iWork and professional software. Apple leads the digital music revolution with its iPods and iTunes online store. Apple has reinvented the mobile phone with its revolutionary iPhone and App Store, and is defining the future of mobile media and computing devices with iPad.

NOTE TO EDITORS: For additional information visit Apple’s PR website (www.apple.com/pr), or call Apple’s Media Helpline at (408) 974-2042.

© 2013 Apple Inc. All rights reserved. Apple, the Apple logo, Mac, Mac OS, Macintosh, iTunes Store, iTunes, iPhone, iPad, iPod and iTunes Plus are trademarks of Apple. Other company and product names may be trademarks of their respective owners.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

CloudEXPO Stories
"NetApp's vision is how we help organizations manage data - delivering the right data in the right place, in the right time, to the people who need it, and doing it agnostic to what the platform is," explained Josh Atwell, Developer Advocate for NetApp, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regulatory scrutiny and increasing consumer lack of trust in technology in general.
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogger and is a frequent speaker on the use of Big Data and data science to power the organization's key business initiatives. He is a University of San Francisco School of Management (SOM) Executive Fellow where he teaches the "Big Data MBA" course. Bill was ranked as #15 Big Data Influencer by Onalytica. Bill has over three decades of experience in data warehousing, BI and analytics. He authored E...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.