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The Great Distribution
 of Wealth Across iOS
  and Android Apps

  Posted by Peter Farago on Tue, Jul
              31, 2012
More than 600,000 apps each
The iTunes App Store and Google Play now offer
more than 600,000 apps each. And Apple’s
most recent earnings call revealed that the
company has paid out more than $5.5 billion to
developers since the launch of the App
Store. With unprecedented consumer adoption
of iOS and Android devices, low barriers to entry
for developers and throngs of paying
customers, Apple and Google have created
massive economic opportunities for developers.
We used data from over 200,000
          mobiles applications
In particular, iOS and Android have made it possible for
independent developers and mobile app start-ups to thrive. As
industries mature, however, we expect established players and
brands to invade from other platforms, depressing opportunities
for many early entrants. Along with this, we expect to see
market revenue concentrate among fewer larger players. For
this report, with these typical patterns in mind, Flurry modeled
worldwide mobile app revenue, revenue sources and revenue
concentration among top-ranked mobile apps on iOS and
Android. For this report, we used data from over 200,000 mobile
applications in the Flurry Analytics data set. Let’s start with
market growth.
The chart above compares
                                                       worldwide revenue generated by
                                                       iOS and Android apps in 2011 vs.
                                                       2012. For 2012, we modeled the
                                                       first half of the year based on
                                                       actual data, and then applied
                                                       growth rates to estimate the rest
                                                       of the year based on the
                                                       proportion of revenue observed in
                                                       2011 between the first and second
                                                       half of that year. In 2011, Flurry
                                                       calculates that iOS and Android
                                                       applications generated a total of
                                                       $5.4 billion across premium, in-app
                                                       purchase and advertising revenue.


 Advertising made up 18% of the revenue. In 2012, Flurry forecasts that revenue will
grow by 60% over the previous year, reaching $8.7 billion. Advertising is the fastest
growing revenue category with growth forecasted at more than 100%, from $980
million in 2011 to $2 billion in 2012, delivering 23% of 2012 total
revenue. Likewise, premium and in-app purchase revenue is also increasing at a rate
of 50%, from $4.5 billion in 2011 to $6.7 billion in 2012.
Next,     we    look   at     the
                                                                  concentration of revenue among
                                                                  top ranked apps from 2010 to
                                                                  2012. Please note that for this
                                                                  analysis, we focus on premium
                                                                  and        in-app        revenue
                                                                  only,        excluding         ad
                                                                  revenue. Comparing these two
                                                                  years shows how dramatically
                                                                  the distribution of revenue is
                                                                  shifting   across    the     long
                                                                  tail. Starting on the left, in
                                                                  2010, the green part of the
                                                                  column shows that 28% of
                                                                  revenue was generated by the
                                                                  Top 25 ranked titles on iOS and
                                                                  Android. In 2012, we estimate
                                                                  that the Top 25 will drop to
                                                                  commanding about half of total
                                                                  revenue, or 15%.


Likewise, comparing the grey sections of each column, the rest of the Top 100 apps will drop
from earning 27% of revenue in 2010 to 17% of revenue in 2012. Conversely, revenue
generated by the long tail significantly grows from 2010 to 2012. Comparing the blue
sections, any apps ranked beyond the top 100, we observe that long tail revenue explodes
from earning under half of all premium and in-app purchase revenue in 2010 to over two-
Finally, we rank the revenue generated by each of the top 100 positions across the iTunes App
Store and Google Play. For each year, we set the revenue generated by the top spot at
100%. Then, relative to the top spot, we take the percent each position generates from the 2nd
rank all the way through the 100th. By normalizing each curve in this way, we can compare the
relative revenue generated per ranked position in the top 100 per year.


 For example, we can see
 whether ranking number 50
 generates      more     relative
 revenue in 2012 versus
 2010. Most interestingly, this
 kind of analysis shows whether
 the developer “middle class” is
 better off today than its
 “parents’” generation.
Now that we have relative earning power mapped per ranked position, we can study
the heights and shapes of the curves. Comparing 2010, the green curve, to 2012, the
blue curve, we notice that two things are happening simultaneously. First, each
position in the top 100 is more valuable now, which makes sense because the market
has grown overall. Second, the blue 2012 curve is flatter. Unlike the green 2010
curve, which steeply drops during the top 10 ranked positions, indicating the wealth
is more concentrated at the top, the blue 2012 curve stabilizes shortly after the top 5
positions and then maintains a high, gently sloping plateau all the way through the
80th position, where it then settles just above the green curve, ostensibly continuing
to “fly” at an altitude higher than that of the green curve out across the long tail. In
short, this means that the middle class has more earning power, taking a substantial
share of total wealth in the economy.
With the app economy booming,
   companies like Facebook, Twitter and Zynga are under tremendous pressure
   from investors to seize the opportunity presented by this new
   platform. However, with software delivered in the form of downloadable
   applications, unguaranteed network connectivity, different consumer
   behavior and control exerted by platform providers such as Apple and
   Google, the mobile app landscape creates different, meaningful challenges
   for companies attempting to enter the app space from other
   platforms. Combined with a marketplace that reduces the power of brand
   recognition (e.g., apps are free for consumers to try risk free), market wealth
   unexpectedly continues to shift to the long tail, funding continued
   R&D, advertising budgets and other activities that increase their competitive
   strength. The age of middle-class app developer has arrived. In this
   economy not only are the rich getting richer, but so too are the poor, and
   gaining on the rich.

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The great distribution of wealth across i os and android apps

  • 1. The Great Distribution of Wealth Across iOS and Android Apps Posted by Peter Farago on Tue, Jul 31, 2012
  • 2. More than 600,000 apps each The iTunes App Store and Google Play now offer more than 600,000 apps each. And Apple’s most recent earnings call revealed that the company has paid out more than $5.5 billion to developers since the launch of the App Store. With unprecedented consumer adoption of iOS and Android devices, low barriers to entry for developers and throngs of paying customers, Apple and Google have created massive economic opportunities for developers.
  • 3. We used data from over 200,000 mobiles applications In particular, iOS and Android have made it possible for independent developers and mobile app start-ups to thrive. As industries mature, however, we expect established players and brands to invade from other platforms, depressing opportunities for many early entrants. Along with this, we expect to see market revenue concentrate among fewer larger players. For this report, with these typical patterns in mind, Flurry modeled worldwide mobile app revenue, revenue sources and revenue concentration among top-ranked mobile apps on iOS and Android. For this report, we used data from over 200,000 mobile applications in the Flurry Analytics data set. Let’s start with market growth.
  • 4. The chart above compares worldwide revenue generated by iOS and Android apps in 2011 vs. 2012. For 2012, we modeled the first half of the year based on actual data, and then applied growth rates to estimate the rest of the year based on the proportion of revenue observed in 2011 between the first and second half of that year. In 2011, Flurry calculates that iOS and Android applications generated a total of $5.4 billion across premium, in-app purchase and advertising revenue. Advertising made up 18% of the revenue. In 2012, Flurry forecasts that revenue will grow by 60% over the previous year, reaching $8.7 billion. Advertising is the fastest growing revenue category with growth forecasted at more than 100%, from $980 million in 2011 to $2 billion in 2012, delivering 23% of 2012 total revenue. Likewise, premium and in-app purchase revenue is also increasing at a rate of 50%, from $4.5 billion in 2011 to $6.7 billion in 2012.
  • 5. Next, we look at the concentration of revenue among top ranked apps from 2010 to 2012. Please note that for this analysis, we focus on premium and in-app revenue only, excluding ad revenue. Comparing these two years shows how dramatically the distribution of revenue is shifting across the long tail. Starting on the left, in 2010, the green part of the column shows that 28% of revenue was generated by the Top 25 ranked titles on iOS and Android. In 2012, we estimate that the Top 25 will drop to commanding about half of total revenue, or 15%. Likewise, comparing the grey sections of each column, the rest of the Top 100 apps will drop from earning 27% of revenue in 2010 to 17% of revenue in 2012. Conversely, revenue generated by the long tail significantly grows from 2010 to 2012. Comparing the blue sections, any apps ranked beyond the top 100, we observe that long tail revenue explodes from earning under half of all premium and in-app purchase revenue in 2010 to over two-
  • 6. Finally, we rank the revenue generated by each of the top 100 positions across the iTunes App Store and Google Play. For each year, we set the revenue generated by the top spot at 100%. Then, relative to the top spot, we take the percent each position generates from the 2nd rank all the way through the 100th. By normalizing each curve in this way, we can compare the relative revenue generated per ranked position in the top 100 per year. For example, we can see whether ranking number 50 generates more relative revenue in 2012 versus 2010. Most interestingly, this kind of analysis shows whether the developer “middle class” is better off today than its “parents’” generation.
  • 7. Now that we have relative earning power mapped per ranked position, we can study the heights and shapes of the curves. Comparing 2010, the green curve, to 2012, the blue curve, we notice that two things are happening simultaneously. First, each position in the top 100 is more valuable now, which makes sense because the market has grown overall. Second, the blue 2012 curve is flatter. Unlike the green 2010 curve, which steeply drops during the top 10 ranked positions, indicating the wealth is more concentrated at the top, the blue 2012 curve stabilizes shortly after the top 5 positions and then maintains a high, gently sloping plateau all the way through the 80th position, where it then settles just above the green curve, ostensibly continuing to “fly” at an altitude higher than that of the green curve out across the long tail. In short, this means that the middle class has more earning power, taking a substantial share of total wealth in the economy.
  • 8. With the app economy booming, companies like Facebook, Twitter and Zynga are under tremendous pressure from investors to seize the opportunity presented by this new platform. However, with software delivered in the form of downloadable applications, unguaranteed network connectivity, different consumer behavior and control exerted by platform providers such as Apple and Google, the mobile app landscape creates different, meaningful challenges for companies attempting to enter the app space from other platforms. Combined with a marketplace that reduces the power of brand recognition (e.g., apps are free for consumers to try risk free), market wealth unexpectedly continues to shift to the long tail, funding continued R&D, advertising budgets and other activities that increase their competitive strength. The age of middle-class app developer has arrived. In this economy not only are the rich getting richer, but so too are the poor, and gaining on the rich.