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Asymconf California is a week away. The workshops are sold out but we still have 20 seats available for the main event.
Don’t leave it to the last minute. Sign up now.
The following graphs show text messaging volumes, pricing and revenues for SMS in Spain.
After peaking at the end of 2008 at about €450/quarter, revenues have fallen by 60% to about €171 million in the third quarter of 2012. These figures represent almost 100% operating profit for operators so the impact is felt directly in the bottom line. Continue reading “What's up with text messaging?”
On assessing demand from “supplier checks”; measuring headroom and the race to a billion users; the disruption of computing becoming accepted by PC industry.
[Kaoru] Kato, president of NTT DoCoMo Inc., said that the firm would want to add the iPhone to its lineup of serviced smartphones if it could form a mutually beneficial contract with Apple, Inc.
Apple requires that carriers servicing its devices sell a fixed amount per year. Katō said that his company could handle such quotas if iPhones accounted for approximately 20%-30% of its overall smartphone sales.
via NTT DoCoMo President Interested in Servicing iPhone — BrightWire
When thinking about an iPhone launch, especially with a new operator, the crucial question is what is the minimum order quantity (MOQ). Some of the iPhone production is sold direct (as in the case of orders coming from Apple’s online store) but the majority of units are sold via operator who order in batches.
This issue came to light when Sprint’s order was leaked in late 2011. I discussed the order size at the time and put it in context. I concluded that Sprint MOQ was on average 7 million/yr., ramping with 4, 6, 9 and 12 million over a four year period. I concluded that this was not a particularly aggressive gamble.
Data published since then shows that Sprint actually sold 6.3 million during the first year, well ahead of my expected minimum order of 4 million and above even the expectations for the second year of sales. So far then Sprint and Apple gauged minimum demand quite accurately.
I also showed that the Sprint MOQ was probably indexed off their sub base. I suggested that, based on subs data at the time, Sprint was committing to roughly 13% of its subs buying an iPhone every year. This was indexed off the data showing that 17% of AT&T subs were buying iPhones every year and 10% for Verizon. (I also assumed that this run level would be ramped over time).
The updated totals for the 12 months ended October 2012 are 19% of AT&T subs purchased an iPhone, 12% for Verizon and 12% of Sprint. The performance is shown in the following graph:
Which leads us to think about how the MOQ for the iPhone is calculated. If we assume Sprint and Verizon performance is typical it would imply that an operator like DoCoMo would be required to purchase iPhones at the rate of about 10% to 12% of its sub base each year, modulated to some degree by a ramp.
NTT DoCoMo had 60.7 million subs in September 2012. 10% is about 6 million. Is Mr. Kato’s quote above of 20%-30% of smartphone sales consistent with this?
In an earlier interview (in July) Mr. Katō also stated that the target for smartphone sales in the year to March 2013 was 13 million. 30% of that would be 4 million units.
This suggests that the iPhone MOQ for DoCoMo is only about 6% of subs. (4 million) Perhaps this is the basis of negotiation for an iPhone deal. Apple may have held out for 10% subs/yr. with Sprint on the basis of performance of the iPhone in the US but might be willing to settle for 6% subs/yr with DoCoMo, at least for the first year.
The MOQ figure as percent of subs for China Mobile would also be an interesting point of debate.
I last looked at the race to a billion in March 2011. Since then, I’ve been updating and adding data to the set giving a broader selection of platforms to compare.
Before we dive in, an explanation: the initial review excluded Windows (PC) and Facebook mainly because (a) the ramp scale I’m using is about a decade in duration and (b) I was reluctant to compare platforms that require payment to join to those that don’t. The (DOS/Windows) PC ramped over several decades (starting in 1981) and Facebook is a service that costs nothing to join. There was much gnashing of teeth and shaking of fists as a result.
Therefore, in the interest of inclusion, I added both to the data set and let the chips fall where they may.
The data is shown below.
I kept the scale to about a decade so that individual lines can be resolved. As a result, you’ll note that although Windows reached one billion first it did so slowly enough to be off the scale shown. Indeed, the “race to a billion” should be titled “The race to one billion users in less than a decade”.
In such a competition, the winner would be Facebook which, in October 2012, 35 quarters after launch, reached the finish line. The second looks to be Android (probably this year) and the third iOS (sometime next year.)
That may sound like the end of it, but what the graph also shows are the more subtle trends: Continue reading “The race to a billion—2012 Update”
In 2011 Apple increased the availability of the iPhone by adding operators. In 2012 Apple increased availability by bringing the phone to operators more quickly. The question is: how much did iPhone 5 availability increase, exactly?
There is a way to find out. As an approximation, Apple periodically reports the availability of new iPhones by country. For example, Apple stated that they reached 100 countries for the iPhone 5 before 2012 ended. They also gave similar launch data for the iPhone 4S. Graham Spencer did a good job showing how country roll-outs changed over time.
However, country-level availability is not ideal because countries vary greatly in their ability to absorb iPhones. Announcing availability in Mauritius is not nearly as important as announcing Madagascar. A better measure would be to track the countries’ populations being added, or, better still, the populations which subscribe to operators who have a distribution contract with Apple.
Which is what is shown in the following graph:
Continue reading “Measuring iPhone 5 vs. iPhone 4S availability”
Over-serving TVs, bizarre keynotes, iPhone “mini”, cracking the China code, the T-Mobile iPhone and the iPhone operator deal structure.
via 5by5 | The Critical Path #70: Harvesting Talent.
This was a good show. It also ran longer than usual.
In 2011 Microsoft’s CEO bemoaned that revenue in China was about 5% of what it obtained in the US. Yesterday Apple’s CEO suggested that revenue from China will overtake the US in the near future.
The contrast is even more stark when one considers the time and effort each company has made in China. Microsoft has been investing and promoting itself in China for decades while Apple barely had any presence 3 years ago.
To put a finer point on this I show below Apple’s sales by region:
Apple’s China net sales in fiscal 2009 were only 769 million. In 2012 they were $22.8 billion. That is a figure greater than US sales three years earlier. Put another way, China sales grew in three years as much as they did in the US in 33.
The growth rates were astronomical: over 250% in 2010 and 350% in 2011. In 2012 the growth slowed to 83% but that is still almost twice the US or the global average. The growth rates are shown in the following chart: Continue reading “Cracking the China code: Microsoft vs. Apple”
Nokia announced 4.4 million Lumia smartphones were shipped in Q4. That’s about 14 million since the Lumia line was launched a year earlier. It isn’t however nearly enough to replace the lost sales from Symbian. One year earlier Nokia shipped 19 million Symbian phones in the fourth quarter and the year before 28.3 million. The history of smartphone sales from Nokia is shown below:
I repeated the forecast I drew up in February 2011 when the platform switch was announced. That forecast was based on the company stating that 150 million Symbian phones would still be shipped. Symbian fell far more rapidly than I (and Nokia) expected and to date only 98 million have shipped. The last quarter’s 2.2 million seems to be so low that it will be hard to imagine the platform lasting more than a few quarters. Continue reading “Getting to know the meaning of sisu”
As it did yesterday, on occasion Apple reports the cumulative total downloads and payments to developers. Since this is done in variable time intervals, it makes analysis of the value of the app store difficult.
But not impossible.
The provision of developer revenues means we can determine the pricing of apps. The pricing of apps and the download totals allows us to determine the revenue of the store. Using the time stamps of the reports allows us to determine these quantities over time.
I’ve combined the data we have so far into the following graph.
It shows three quantities (on three separate scales) at a monthly resolution:
Having a price and quantity of app downloads allows for a complete picture of App Store revenues over time, shown below: Continue reading “A more complete picture of the iTunes economy”