Mobile Outlook 2013
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Mobile Outlook 2013

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Simon Khalaf throws down the gauntlet at #Source13 with a data-packed presentation. "Ignore the Series A crunch. It's time to innovate. Disrupt an industry."

Simon Khalaf throws down the gauntlet at #Source13 with a data-packed presentation. "Ignore the Series A crunch. It's time to innovate. Disrupt an industry."

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Mobile Outlook 2013 Presentation Transcript

  • 1. Unstoppable Market GrowthWorldwide in-application events measured by Flurry (billions)1,2001,1001,000 900 800 700 600 500 400 300 200 100 - May Jul Sep Nov Jan Mar May Jul Sep Nov Jan Mar May Jul Sep Nov Jan Mar May Jul Sep Nov Jan Mar May Jul Sep Nov 08 08 08 08 09 09 09 09 09 09 10 10 10 10 10 10 11 11 11 11 11 11 12 12 12 12 12 12 Source: Flurry Analytics, May 2008 – November 2012, Billions
  • 2. A Global PhenomenonTop Countries by Active iOS & Android Devices (millions) 181 167 35 28 27 22 19 19 14 14 US China UK Japan S. Korea Germany France Canada Brazil Spain Source: Flurry Analytics active devices Oct 2012
  • 3. 30+ Countries Doubled in Last 12 MonthsFastest Growing iOS & Android Markets by Active Devices293% 269% 260% 235% 209% 202% 197% 181% 180% 180% China Vietnam Colombia Chile Ukraine Venezuela Turkey Philippines Egypt Russia Source: Flurry Analytics, Oct 2011 – Oct 2012, countries with at least 500k active devices as of Oct 2011
  • 4. How Mobile Stacks Up Against TV and The WebU.S. Web vs. Mobile App vs. TV Consumption, Minutes per Day 180 160 140 162 168 168 120 100 127 80 94 60 40 70 66 72 70 20 - Dec 2010 Dec 2011 Dec 2012 Web Browsing Mobile Applications Television Sources: comScore, Alexa, U.S. Bureau of Labor Statistics, Flurry Analytics
  • 5. App Revenue Is Scaling 20Billions 18 16 14 12 10 8 6 4 2 0 2008 2009 2010 2011 2012 Virtual Goods Advertising Source: eMarketer, Mary Meeker (KPCB)
  • 6. Faster Revenue Ramp than The Web U.S. display advertising and digital goods revenue 16Billions ($) WEB (BROWERS) MOBILE APPS 14 12 10 8 6 4 2 0 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Source: eMarketer, Flurry, Comscore
  • 7. Beyond GamingWW iOS & Android Smart Device Time Spent per App Category Lifestyle 1% Health & Fitness 1% Productivity 2% Other News 2% 5% Utilities 10% Games 43% Entertainment 10% Social Networking 26% Source: Flurry Analytics, November 2012
  • 8. Disruption Across Multiple IndustriesWW Session in iOS and Android Apps (Dec 2011 – Dec 2012) 387% 268% 247% 237% 206% 198% 132% 107% Social Media & Shopping Productivity Utilities Travel Gaming Entertainment Source: Flurry Analytics Dec 2011- Dec 2012
  • 9. Gaming: Money, Midcore and MaturityARPDAU among top 1,000 grossing iOS free-to-play games Over $0.75, 3% Over $0.75, $0.25 - $0.75 15% 15% Under $0.25, 53% $0.25 - $0.75 Under $0.25, 32% 82% Sep 2011 Sep 2012 Source: Flurry Analytics, 480 free-to-play games
  • 10. A Closer Look at the Social CategoryDistribution of time spent in mobile social apps Dating 5% Photo & Video Sharing 19% Social Networks 47% Messaging 29% Source: comScore, Flurry Analytics Dec 2012
  • 11. A Closer Look at Media & Entertainment AppsDistribution of time spent in media apps Others 10% Networks 22% Emerging Media 37% Studios 20% 2nd Screen Apps 11%
  • 12. Media & Entertainment Apps Behave Like TV Daypart comparison, people 15+ using medium, U.S. 70%% of Audience Share MEDIA APPS TELEVISION 60% 50% 40% 30% 20% 10% 0% 5:00 AM AM AM AM AM AM AM PM PM PM PM PM PM PM PM PM PM PM PM AM AM AM AM AM 6:00 7:00 8:00 9:00 10:00 11:00 12:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 1:00 2:00 3:00 4:00 Sources: Michael Zimbalist; Nielsen National People Meter; comScore Media Metrix Flurry
  • 13. The Rise of the App & Mortar EconomyDistribution of time spent in commerce apps Others 9% Retailers Daily Deals 27% 13% Price Comparison 14% Online Marketplaces Purchase 20% Assistance 17% Source: comScore, Flurry Analytics Dec 2012
  • 14. Shopping Apps: Usage by Gender MALES FEMALES 19% 16% 14% 13% 13% 10% 7% 5% 2% 1% 13-17 18-24 25-34 35-54 55+ Age Group Source: Flurry Analytics
  • 15. Shopping App Usage: Gender and Daypart10% MALES FEMALES9%8%7%6%5%4%3%2%1%0% 5:00 AM AM AM AM AM 11:00 12:00 PM PM PM PM PM PM PM PM PM PM 11:00 12:00 AM AM AM AM AM 6:00 7:00 8:00 9:00 10:00 AM AM 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 PM PM 1:00 2:00 3:00 4:00 Source: Flurry Analytics