revenue

The August comScore mobile survey (MobiLens) is out. It measures the penetration or consumption of various mobile products and services in the US over a three month period.

I track the change in this data over time. Here are some highlights:

In August about 520,000 users switched to using smartphones (from non-smart phones) as their primary phone. This is a bit down sequentially from July but about average for the period starting January 2010.

Penetration increased by about 1 % to 36%.

Extrapolating this growth implies 50% penetration by September 2012. However growth is accelerating slightly so that tipping point may come sooner. Separately, T-Mobile reported that 75% of its device sales during this year have been smartphones, so if this is indicative of overall US market, then by next year it may in fact be quite difficult to find any non-smart phones to buy.

Among the smartphones, the different OSs have the following installed bases:

The growth in both Android and iOS has been fairly constant for the last 18 months.

Microsoft seems to be stabilizing at around 6%

But RIM shows an alarming deterioration. The company has lost 4.3 million users in the last year and is now at about the same number of users it had in late 2009. This is in a market that has more than doubled.

With only about 16.5 million US users and an average loss of half a million users per month, unless something drastic happens, RIM could lose its entire US user base by the end of next year.

During the last month alone RIM lost 1.2 million users. Management insists that new devices will boost sales but here we're measuring the erosion in core users, not upgrades. It's much more likely that those 4.3 million who left BlackBerry went to other smartphones. To move from a BlackBerry to a feature phone seems very improbable to me.

That means that BlackBerry's pain is probably iPhone or Android's gain. This sort of switch is often painful and I can only imagine that it's done with some reluctance. All the more remarkable then that RIM could not offer incentives to stay. The BlackBerry brand is fading rapidly and brand value is very hard to re-build.

There's one more thing.

We can see platform rivalry in the installed base chart but the bigger battle is the competition with non-consumption. The following chart shows how overall platforms are faring as they carve up the feature phone market.

There are still 150 million Americans whose primary phone is not a smartphone. The conversion of those users is happening at a consistent pace but there are many years of growth remaining. I've often wondered if and when this pace would moderate. I suggested perhaps at 50% there would be an inflection point as the "easy money" would already have been made.

Much of that will depend on how the product (device + service) will be priced. It's hard to get data on overall pricing. We can get some subsidized phone prices (for example now ranging from $0 to $400 for iPhone and probably similar for Android). What we don't have is an average device+service price point for the industry. That's what I would like to keep an eye on.

During the October iPhone event Apple gave an update on the app and song download totals. This is a reliable gauge of the iTunes ecosystem performance and Apple has been supplying these numbers for several years.  Plotting these numbers gives us a good idea of the trend in mobile content consumption. Here is the data to date:

The total number of apps downloaded (excluding updates) overtook songs in June/July and continues on its trajectory. In fact, the rate of downloads for Apps is now over 1 billion / month. Given the data points above, I calculate it to be about 34 million per day. The corresponding rate for songs is 8.3 million per day.

You can see the rate of downloads as it's changed over time here:

I used trailing four periods' moving average for the lines to show the trend more clearly. The gap in download rates is large and increasing.

Now most observers would note that songs are much more expensive than apps, especially since there are no free songs and many apps are free. This would imply that the music business is probably more valuable than the app business.

That's true, but not by much. To determine how much, I used the other data point offered: $3 billion in payments to developers. Since that represents 70% of gross revenues to Apple, we can determine that the average price per app is now 23.8c (down from 28.5c in April 2009)[1]. Knowing the app price we can plot both revenues and the margin that Apple keeps.

We can compare that with the margin that Apple keeps from songs (assuming a price point of $1.2 per song and a 73% pay-out to labels.)

The data jumps around quite a bit but the trend is pretty clear. After paying the content owners, iTunes is left with about $75 million per month from apps and $85 million per month from songs.

Apple then needs to pay other direct costs like credit card processing, bandwidth, storage, curation and testing. Then there are other operating expenses like R&D and marketing. These costs add up such that, according to Apple, they cover revenues, yielding a break-even operation.

Break-even or not, the way the data is trending it's pretty clear that Apps will be responsible for a the majority of content cash flow at Apple.

At a billion downloads a month (and rising) the value in terms of revenues is already a run rate of $2.9 billion per year. This has been enough to overtake a business that has been running for more than seven years.

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Notes:

1. The payments to developers probably includes in-app purchases.

The Wall Street Journal reported that Sprint Nextel made a "multibillion-dollar" gamble on the iPhone. This is based on information that Sprint committed to buy 30.5 million iPhones over the next four years.

Wall Street Journal reporters calculated that the deal is worth around $20 billion on the basis of iPhone ASP during the last quarter (about $650). That Sprint would get that price is possible but not necessarily correct as there is likely to be some discount and the ASP Apple receives includes accessories.

But the "gamble" is more than the deal value. The way it's being reported is that Sprint bet the company on being able to sell this many iPhones. So naturally we have to ask: how hard can it be to sell 31 million iPhones?

First, note that the order is over a four year period. It's also not likely to be linear, with volumes accelerating over time. If I estimate a ramp where in year one the commitment is for 4 million, year two 6, year three 9 and year four 12 million we get a total of 31 million. Can Sprint sell this volume?

To get an idea we can look at the sales rates for the other US operators. I built a table of iPhone sales by Operator last July. The data is shown in the following chart:

What is interesting is to see the number of iPhones sold in a given time frame as a percent of subscriber base. I chose to measure a year's worth of iPhones where I extrapolated Verizon's volumes from the six months reported so far.

The ratios are that Verizon sold iPhones at the rate of about "10% of its subscriber base per year". AT&T has been selling at the rate of about "17% of its subs per year". If we average these two we get about 13.6%.

So if we assume that Sprint can sell iPhones at about the same rate as Verizon or AT&T (as a percent of their user base which was 51.1 million) we get about 7 million iPhones per year.

That's right in the middle of the range it needs to get to 31 in four years [4,6,9,12]. I charted the projection on the following chart:

So the gamble Sprint is taking is that they will be able to sell iPhones at the same rate as Verizon and AT&T.

How is this risky?

The deal seems to be inline with what is known about the product's popularity and the pattern of purchasing and upgrades that US consumers have been exhibiting for a few years.

As with AT&T and Verizon, volumes ramp up over time. As with AT&T, users are loyal and they upgrade regularly. As with Verizon, there is competition from Android and Blackberry. As with both, payment is expected up-front with payback over the duration of contract length. As with the others, there will be incentives to keep churn down.

If anything the riskiest thing for Sprint would have been not to do the deal at all. Indeed, we'll get to see the effect of that option on T-Mobile.

I began comparing Microsoft and Apple's financial performance with a review of "top line" or revenues by product lines over a four year period.

This post is about the "bottom line" for the same companies and products.

Before I jump in I would like to make sure there is no confusion about the terms. I will be comparing "operating income"[1] as a measure of "bottom line". This is a common way to compare the profitability of companies because it excludes taxes and interest income. These non-operating expenses/income can distort a comparison of performance because they can be the result of investment activity or changes in tax law or where the company is domiciled. One should not make judgements of comparative performance on those non-operational bases.[2]

Another challenge is that some companies report operating income by division while others don't. We can usually compare overall operating income but usually not on a division or product-level. This is the challenge I will try to overcome in this analysis between two very different operating models.

The first chart shows Microsoft's Operating Income by Division as reported by the company.

Each area represents a business division. Note some are showing negative income (losses).I've added a line representing consolidated operating income which is the sum of all areas (including the negatives).

The same line from the chart above is super-imposed on the chart below and is comparable to the orange line that represents the operating income that Apple was able to obtain over the same time frame. Note that both axes are using the same scale.

The Blue and Orange lines are indisputable but the allocation of the areas under the orange line may be open to debate.

As Apple does not report a break-down of each product line or division, getting the areas in the Apple chart is a matter of analysis and estimation. The method I used was to estimate gross margins per product (the overall gross margin is known) and assigning a portion of OPEX (also known) in a ratio equal to the sales level of that product. [3][4]

To make the contrast sharper (though more cluttered), I took all operating incomes from all product lines and divisions of both companies and laid them out as time series line charts in the following chart. I allocated Corporate Level Activity as an expense proportionate to each business unit in a ratio proportional to its sales. This allows comparison of product lines individually.

 

Finally, I combined all the iOS product lines (iPhone, iPad and iPod touch est.) as one line and laid it alongside overall Microsoft Operating Income (consolidated).

The second chart in this post showed that Apple has reached higher operational profitability than Microsoft by the end of last year. This fourth chart shows that iOS products combined are more profitable than Microsoft as a whole.

Microsoft invented the software business and built it to become the world's most valuable business by the year 2000. It's still been growing since and after 35 years it is reaching a profit of $27 billion per year. It did this while maintaining enormous margins and a highly disruptive monopoly business model the likes of which the world had never seen before.

It is scarcely believable then that a device business has been created to overtake it in four years.

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Notes:

1. The operating income is almost the same as EBIT  which is explained here: Earnings before interest and taxes - Wikipedia, the free encyclopedia.
2. On the other hand, one should not use Gross Margins alone. The crucial difference between Gross Margin (Sales Revenue - Cost of Goods Sold or COGS) and Operating Income is that fixed costs are also accounted for. These fixed costs are typically Selling, General and Administrative Expenses and Research and Development Expenses (commonly summarized as Operational Expenses or OPEX) which can be allocated to a particular business or division. For different business models, gross margins can be widely different. In the case of Microsoft for example, software has negligible direct variable costs. A CD or download is of tiny cost compared to the price of the license to use it. As a result software often has 80% gross margins. Hardware on the other hand can have very thin margins in single digits (e.g. PCs). Conversely, Microsoft will have very high fixed costs to pay for developers, product management and sales forces. A hardware vendor may have few engineers and sales could be handled through resellers. Thus Microsoft will have very high OPEX and a PC company will have very low OPEX.
3. So, for example, In Q2 '11 the iPad had an estimated gross margin of $2.06 billion (which assumed 34% margin on published revenues of $6.06bn). As it also was 21% of total revenues that quarter, I assigned 21% of OPEX to the iPad. That means 21% of $2.54bn or $540 million was the operational expense allocated to the iPad. This results in operational income estimate of $1.52bn for the iPad in Q2.
4. To summarize, the assumptions this estimate depends on are gross margin estimates and the allocation of OPEX in proportion to sales. Gross margin analysis has been a matter of iteration and peer review for some time and I'm fairly confident in my estimates. The allocation of OPEX is more arbitrary. Chances are that these expenses vary greatly with each quarter where more work is done nearer to launch of a new product and less in late season. If there are better methods available to allocate expenses by product, I'm open to suggestion.

I've been providing analysis of Apple's operating and financial performance for some time. Recently we've begun to look at comparisons of financial performance for comparable companies. Now it's time to dig deeper and do comparisons of operating performance as well.

To start, Microsoft.

Whereas Apple has product lines (iPhone, iPad, iPod, Mac, iTunes, Peripherals and Software), Microsoft has business divisions (Windows & Windows Live, Server and Tools, Online Services, Business (Office), Entertainment and Devices). The charts show revenues for both Apple and Microsoft according to these defined segments.

 

The second chart should be a familiar one:

Note that the horizontal and vertical axes are the same. The period of coverage is from mid-2007 to the end of June 2011 which corresponds to the life of the iPhone. The vertical axis ranges up to $30 billion/quarter in both charts.

When shown this way, the exceptional growth for Apple becomes easier to understand (and perhaps Apple's valuation premium of 15.7 P/E vs. Microsoft's 9.5). Microsoft has been growing these past four years but not nearly at the rate of Apple. Microsoft grew quarterly revenues from the ~$15b range to ~$17b range.

Additional points of interest:

• The Mac business generates more Revenue than Windows
• iOS powered devices generate more revenue than all of Microsoft's products put together
• Apple's revenues grew 413% since Q2 2007 while Microsoft's grew 26%
• The release of Windows 7 had a marked effect on revenues in the launch quarter but the sales did not seem to grow above the previous version's run rate ($4.2b/quarter vs. $4.7b/q on average).

But most importantly, whereas Apple's growth has come from new businesses (iPhone and iPad), Microsoft has organically grown existing businesses. The condemnation of leadership at Microsoft should hinge on the absence of significant top line growth. Note that neither the Online Services nor the Entertainment and Devices divisions had appreciable net growth.

 

[Updated with new charts including data from StatCounter and not NetMarketshare]

Generally speaking there is an equivalence drawn between iOS and Android as technologies and even as user experiences. However, as I've pointed out on several occasions there is a very clear nonequivalence in business models and thus the "fuel" which keeps each platform running. But does this difference in models lead to some difference in the way the products are "hired" to do what they do. Does it imply anything about how the products are likely to evolve?

I collected into one place all the data I could find about utilization (how much of a service and how often it's used) and possession (both in terms of current ownership and new acquisitions) of iOS and Android.

Possession data comes from comScore survey data of share of US installed base of smartphones by platform at the end of June 2011 (first chart) and share of Global Smartphone Purchases as of Q2 2011 sourced from company reports and IDC (second chart).

Utilization data (vertical axes) comes from August  2011 shares of mobile browsers (from StatCounter June 2011), in-airport WiFi associations from Boingo in June 2011 (iPhone vs. Android), in-flight Wifi associations from Gogo in June 2011,  and In-app Ad impressions from Millenial Media also in June.

The charts are divided into nine sections corresponding roughly to "low", "medium" and "high" utilization vs. possession.

The first chart compares a US-only population for possession vs. a mixture of global and US-only populations for utilization. The second chart compares a global population to the mix of US and global metrics.

What I found interesting is that if we take ad impressions (red X) and browsing (blue +) data out, the two platforms are indeed quite distinct. iPhone has a medium level of possession with a high level of utilization of data services while Android has a high level of possession with a low level of utilization. The data is also nicely clustered.

If we take just the ad impression or browser data then the platforms are quite similar: medium utilization for medium possession and high utilization for high possession. If the two platforms were to swap places in possession (i.e. market share) then they would probably also swap places in utilization (i.e. impressions).

What the data seems to suggest therefore is that for data services the iPhone is a far more popular tool than Android. But for in-app ad impressions and browsing the products are used in a similar manner.

The big difference is however that the services where iPhone utilization is high are those where users have to pay something. Most (if not all) of the ad impressions in apps are for free apps. So ad consumption scales with possession. But non-free services don't. This data seems to support the hypothesis that Android users are disproportionately less willing to spend money (note that the data does not say that users don't have money, but simply that they are not spending it). The other data which backs this hypothesis is that paid app sales on Android trail quite far behind the rate of purchase on iPhone. That could be due to payment problems in the Android marketplace but this data shows that there is some other effect as well.

Why is this important?

We can argue that Android is a low end product and that it disrupts and that this is consistent with that positioning. However it also indicates that the value is not in that ecosystem. And ecosystems are what sustain a platform in the long term. This debate will continue but I am reminded of other platforms which had similar patterns.

Both the Blackberry and Symbian had high possession (in terms of share) with very low utilization. There were lots of surveys which showed that browsing, app downloads and "monetization" of services after the sale of the handset were low. Much was written about it being due to poor experiences. But learned observers today insist that the experience on Android is as good as on the iPhone.

So why is there less economic participation from Android users? It's not just about these proxy services, but all manner of activities which enrich an ecosystem. Possession without utilization implies a product that does not do its job. Its features are not being absorbed. Why would that be?

 

[Updated with Mac OS versions. See footnote 3.]

I'm glad Windows 8 is named the way it is. With Windows 7 Microsoft went to a numbering system which is much more rational than the mixed naming of the past. The number 8 actually corresponds to the actual sequential number of major versions of Windows released to date.

Windows proper actually did not start with what was called "Windows 1.0". Windows actually started in April 1992 when Windows 3.1 was released. It was the first Windows which was an operating environment onto itself, apart from DOS. It was followed by Windows 95 (which we can call "2"), Windows 98 ("3"), Windows 2000 ("4"), Windows XP ("5"), Windows Vista ("6"), Windows 7 and now Windows 8.

Given this nomenclature and the dates of general availability of said versions, we can derive a measure of the frequency of upgrades. For example Windows "2" followed about 41 months after "1" and "3" took 34 months after "2". If we continue this for all the versions, and assume "8" will launch by October next year, we can plot the cycle times of new Windows versions.

To make the story more interesting I added the same data for other OS platforms. OS X, iOS and Android have version numbers which correspond to the sequential order in which they were released. I am assuming that the numbering system (1.0, 2.0, 3.0 etc.) are meaningful and that major releases are given a new integer value.[1]

I also added Windows Mobile which suffered from the same confused numbering that Windows suffered until the current Windows Phone 7. To create a map to integer values I used the following: Pocket PC 2000 is "1", Pocket PC 2002 is "2", WinMo 2003 is "3", WinMo 2003 SE is "4", WinMo 5 is "5", WinMo 6 is "6" and Windows Phone 7 is "7". There is no clarity when and what Windows Phone 8 will be so that is left off the chart.

The chart above does give a clue that Windows is a bit slower (more months between releases) than alternatives. However, the point I want to convey is that this cycle time can be a strategic advantage. A faster upgrade cycle means more rapid adoption of improvements, not to mention more revenues. Rather than a line chart, the better way to visualize it is as a turning circle.

The analogy is from aerial combat where a plane that can "turn inside" an opponent can get into a firing position. The tightness of turning circles also means that a competitor can iterate more quickly and thus move up the trajectory of improvements necessary to remain competitive more rapidly. To that end, I re-plotted the data above with radial axes.

The chart clearly shows how among desktops, OS X has been tighter than Windows[3]. Furthermore, mobile OS's have been, typically, more agile than desktop OS's. The exception being Windows Mobile which had significant architectural and business model challenges. It will be interesting to watch the radius of Android. So far it seems to be tight, but as tablet functionality has been added, the speed of change has slowed slightly.

However, the big contrast is between mobile and desktop. Microsoft tries with Windows 8 to merge the two. But these are different ecosystems. Buyers, OEMs, users, all have different behavioral patterns (jobs-to-be-done) for mobile OS vs. desktop/portables. Will the cycle time for Windows 9 and Windows 10 tighten up? Can Microsoft operate its OS division at this new cycle time?

What is even more bad news is that the most important customers for Microsoft, enterprises, actually upgrade every other version. The Windows "radius" is nominally averaging about 35 months but large account adoption is closer to 60 months.

The contrast is then striking: Consumerized devices with over-the-air updates on a 12 month cycle are five times more agile than a traditional corporate Windows desktop. Another way to look at this is that for every change in a corporate desktop environment, the average user will change their device experience five times. Although Microsoft might find comfort in Enterprises' leisurely pace of change[2], those are the wrong customers to keep happy going forward.

The implications are left as an exercise to the reader, but I would argue that along with the asymmetry in business model around pricing that I highlighted in the last Critical Path podcast, Microsoft has a significant operational asymmetry with devices as a new class of computers.

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Notes:

1. The dates of general availability of various versions of operating systems.
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   Version
   Windows
   OS X
   Windows Mobile
   iOS
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   1
   4/6/92
   3/24/01
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   10/21/08
   2
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   3
   6/25/98
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   8
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2. While at Nokia's Enterprise Solutions I was witness to this difference between the cycle time of devices and the pace of adoption of Enterprises. The fundamental disconnect was that the sales cycle for a "solution" was longer than the shelf life of a device upon which that solution was predicated. Needless to say, Nokia Enterprise Solutions did not last long. Nor do we see today any significant Enterprise-focused mobile device businesses (RIM itself moved to consumerize its products years ago.)
3. I added Mac OS data to the second chart to also illustrate that no company is immune from spinning out of control. Mac OS clearly went spun out after version 6 with increasing delays leading to its demise and replacement. You can also note that its replacement (OS X) was able to straighten-up and fly right. The lesson may be perhaps that ditching and starting over is a viable option.

RIM shipped 10.6 million Blackberries and 200,000 PlayBooks in the last quarter. Management noted that their sell-through was significantly higher for Blackberry (13.7 million) but seems to be very weak for PlayBook as the prior quarter saw 500k units shipped. Additional PlayBook units this quarter probably mostly went into new channels in Asia and there were no additional sales into North America or Europe.

The figures for units are very poor. How poor depends on the frame of reference. Consider the shipment chart below:

In terms of the competition, 10.6 million units is less than half what Apple or Samsung sold in its prior quarter. It's also less than what HTC sold. RIM's volume rank will likely go to fifth place as a smartphone vendor.

In terms of its performance relative to its own history, the Blackberry volume dropped by 11% year-on-year and 18% sequentially. This is the second quarter that shipments shrank.

In terms of market share, we'll have to wait for the competitor data over the next six weeks but the market has been growing at an average of 77% for four quarters so any continuation of this trend would imply RIM's share dropping to single digits.

Finally, the biggest shock has been the decline in profitability. It seems that operating margin dropped from 21% to 13%. The company did incur some one-time charges for recent layoffs, but even without that charge, the margins would be around 16%. This is most alarming. The reason for such drops is that as volumes decrease fixed costs don't decrease as rapidly or at all. The company still needs to keep sales, administration and engineering staff around and they become a larger part of the operating expenses (vs. the component costs which vary with volume of goods sold).

This effect is well understood by financial analysts and the stock price shows it with a huge drop.

But stepping back to look at the picture above, there is a clear turning point in the company. You can see the elbow in the curve for volumes whose effect is felt so deeply. What's curious is why the pivot occurred when it did. We can point the finger to competition as the cause. But why was there no effect in the company's fortunes when the competition actually emerged. It's been years since the iPhone and even Android entered the market. Yet we see an impact on Nokia and RIM individually at apparently arbitrary points of time.

This is the lament of the analyst: you can clearly and accurately state what will happen but when remains a mystery. It's the elasticity between obvious causes and their effects that makes this an inexact science or not a science at all. In retrospect, you can say that Nokia's pivot was triggered by its public execution of Symbian, but that assumes that it was preventable--which we know is not the case. But what caused RIM's change of growth, exactly? Why did it happen this past spring? Why didn't the company volumes begin to decline as iPhone and Android boomed in 2009 or 2010? For quite some time RIM seemed immune to competitive pressure. We all were made fools as we called its imminent demise. Then, as Steve Jobs would say, boom!

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Footnote:

Piecing together RIM's performance is becoming more difficult each quarter. The data being presented is increasingly obfuscated by irrelevant detail while major information is omitted. This last management presentation was full of holes, namely:

• We have no idea of device pricing. Valiant efforts have to be made to piece together that aspect of the business. Matt Richman does a good job but it still requires some guesswork regarding PlayBook pricing to back out Blackberry pricing.
• Management detailed where Blackberries were selling-out but only detailed sell-in for the PlayBook. Obvious spin.
• They are cherry picking the data they present and each quarter it's a different story making pattern recognition impossible.

This leads to an erosion of trust. Observers are faced with the problem of increasingly guessing what is happening each quarter. For instance, regarding pricing I prefer to include service revenues in the analysis of device sales because device+service is what is being bought by the user and vendors which can offer services as part of the device get a justifiably higher value for the product--value that I think needs to be considered as advantageous. Nokia and Apple also account for services (though not apps) as part of device sales and it makes it more convenient to compare these businesses.

Given RIM's smokescreen, this quarter I decided to stop trying to guess Blackberry pricing and used Operating Income/Units sold as the average selling price.

 

Yesterday comScore published survey results for EU5 (France, Germany, Italy, Spain, UK) on smartphone use and installed base. The headline is very similar to what would be written about the US: Android had phenomenal growth over the last twelve months. I also noted that the apparent growth of Google (16.2% share change) seemed to be matched by an apparent decline of Symbian (-16.1% share change.) However the reading of the data is not so simple.

In order to understand what has happened to usage, it's much more valuable to look at consumption and the actual number of users rather than change in share of a subset of the market. Consider the following charts:

The bar chart shows that three platforms gained users in the last year (ending July) and that there were negligible losses in users by others. Negligible except for non-smart phones. A remarkable 29 million users moved from non-smart phones to smartphones. Those switchers switched into Android (16 million), iPhones (6.3 million) and RIM (3.4 million). Symbian even gained about 330k users. Microsoft lost about 1 million but its platform has not been actively promoted in that time.

When seen as a pie chart, you can see how the usage shifted from non-smart to smart even more clearly. It does not appear that Android took share from Symbian at all. Android took share from non-smartphones. The table in the link from comScore leads one to conclude otherwise.

I took the same approach to look at the US data (also from comScore). It shows a similar pattern.

In the US, RIM was a net usage loser but its losses also paled to the losses of non-smart devices. In comparing with EU5 the pattern is very similar.

I then combined the EU5 and US data and provided a view into the combined markets (note scale change from previous two charts.)

This shows the change in platform phones more or less being from non-smart to Android and iPhones. The total population is 470 million people--not insignificant. The total number of non-smart devices abandoned is nearly 60 million in one year, which equals the total number of new smartphone users. That's 12% of most of the developed world switching in one year. If this keeps up, the "tipping point" when smartphones will outnumber non-smart phones in use in these large markets will be in another year.

In terms of sales rate, the tipping point has already happened. Sales of smartphones crossed over in the US and Europe several quarters ago (November 2010 in EU5) and the trend is accelerating. Furthermore, if patterns of mobile technology adoption repeat as they have for the last two decades, emerging markets will follow in two to three years.

This tipping point observation has been repeated on this site a number of times when reflecting on the data in the US. Now it's becoming clear that the same pattern has been underway in Europe as well.

The big picture from the survey data is just how vast the demand for smartphones is. Some platforms are benefiting more than others in terms of share of growth, but the biggest mobile loser is clearly the non-smart phone. Not only is it an unprofitable product for almost every vendor, it is also being increasingly shunned by buyers.

At the same time, at 450 million users we're still only looking at less than 10% of the market. As this pattern spreads globally the platform install bases will be measured in the billions of users.

LG's market position seems precarious. I first noted LG's predicament about a year ago: LG dreams of smartphones [Updated] | asymco

LG lost profitability in Q3 2009 and has not recovered it yet nor can it say when it might.

In a recent article on analyst reactions the prospect of LG's exit from handset sales is raised:

LG's handset division is the company's biggest capital sinkhole and the shares have more than halved this year, making it the worst performer even when compared to HTC and Nokia.

"Selling the loss-making business is probably what investors want," said Harrison Cho, an analyst at KB Investment & Securities. "But even with that option, LG wouldn't get much from the sale. They should have sold it long ago before the overall landscape got tougher."

"They simply missed the boat," said Cho.

The dire business outlook had already pushed LG shares below their book value to a record-low multiple of 0.9 times its book value, much cheaper than Research In Motion's 1.6 times, Nokia's 1.1 and HTC's 8.2.

That's a huge discount for a company that is also a global brand in television and home appliances.

Analysis: LG faces tough choices for mobile phone division - Yahoo! Finance

As I like to point out it's unlikely that management failure is the sole cause for this problem LG finds itself in. If it were, then why did Nokia, Sony Ericsson and Motorola find themselves in trouble at the same time?

But putting aside the causes, the prospect of another tier one vendor becoming a victim in a booming market speaks volumes. Only Samsung remains largely unscathed, though I believe they are not immune. The shift in profit capture that I have been documenting is plain proof that the industry is undergoing permanent structural changes.

As the chart to the left illustrates, the plunge into negative margins is difficult to reverse. The only advice for LG today (besides breaking itself up) is:

"What LG can do at this point is keep doing what it can do best; keep upgrading its hardware offering, differentiate them and then diversify away from Android to Microsoft's Windows phones," said Jung Kyun-sik, a fund manager at Eugene Asset Management in Seoul.

I suspect however that diversifying into multiple platforms will not be particularly differentiating as every other vendor will do the same.

The phone vendors' ranking relative to each other on three measures of share (Unit or Volume, Revenues and Operating Profit) is shown below:

 

 

Although not much changed in the unit rankings since last quarter, revenues did see Samsung and Nokia trade places. In the case of Profitability, the chart shows a sparseness that is quite unprecedented. Only positive profit figures are charted.