Friday, January 3, 2014

How Big a Business Can "Exposing Network Services" to Business Partners Grow to Be?

Most major mobile service provider executives probably would agree that providing mobile network services to third parties is an important revenue growth opportunity.

One example is provided by AT&T and Verizon efforts to sell mobile network services to banks who host banking apps.

AT&T makes available a number of hosted services ranging from call recording to videoconferencing to geo-location services to mobile identity verification.

The telecom launched its first product in this vein, a mobile identity toolkit, in late December. In a way, it is following the footsteps of Verizon.

It's hard to say for certain how big such revenue streams might become, other than to note that immediate prospects should be rather modest. Even the established content delivery network business, a similar line of business generating revenue from business partners, earns perhaps several billion a year, globally.

Most efforts to sell third parties mobile network features will proceed industry by industry, necessarily implying a rather muted growth rate.

Thursday, January 2, 2014

WhatsApp Takes OTT Messaging Lead

BII messaging apps usersAccording to Portio research, text messaging traffic globally is about to reach a peak. After 2015,  text messaging volume will start a downward trend. 

With the caveat that usage or volume is not revenue, the forecast suggests text messaging will, in some markets, start to decline by then, as it already has begun to dip in Western Europe.

At least in part, the product maturation is caused by use of substitute products such as instant messaging such as WhatsApp.

Generally speaking, text messaging revenue growth will be strongest in many developing markets, where mobile Internet access is not yet something most mobile users buy and use.

Fig-3-Portio
source: Portio Research



World-Revenues

Wednesday, January 1, 2014

"Micro-Basic" Subscription Video Tiers in 2014?

Though program networks generally dislike the concept, video subscription providers are well aware many customers think their monthly costs are too high.

That is leading a steady but slow stream of customers to abandon video altogether. Then there are the younger consumers who simply never have acquired the habit of purchasing linear video. 

So some might predict that worried programmers will consent to "micro tiers" of programming that might entice some customers to stay, and others, who never have bought the product, to try it.

These possible smaller packages of channels will cost less, and possibly appeal to many consumers who otherwise would not buy anything, or would be tempted to disconnect.

We'll see. As much effort as will go into constructing tiers that add incremental customers without triggering significant downgrades on the part of existing customers will be tricky. 

One More Example of How Internet Apps Can Grow ISP Revenue

With the caveat that a mobile or fixed network Internet access provider has to be able to charge for greater consumption by end users, Internet apps possibly have harmed telecom revenue less than imagined.


In fact, even cannibalization of text messaging by over the top services might not be as big a hit to revenue (globally), as often is assumed.


A shift to greater amount of video streaming actually should help Internet service provider revenues, assuming some rather direct correlation between consumption and revenue is possible.


For the sake of argument, assume a household shifts consumption from a linear video TV subscription to some form of online delivery.


Ignore for the moment any revenue the Internet service provider can earn from providing TV content that once was consumed using a cable TV, satellite TV or telco TV connection, and focus only on the impact on purchased Internet access service.


Assume a one-hour TV show streamed to a TV requires 1GB at standard definition, and 2 GB, for an hour of HDTV. Assume you are a typical users and consume five hours of video a day. Assume half your consumption if HDTV and half is standard definition.


That implies 75 hours of standard definition TV consumed per person per month. At 1 GB per hour, that’s 75 GB of data. The 75 hours of HDTV represent 150 GB of data consumption, for a total of about 225 GB of data consumption a month, for linear entertainment television.


That might not be an issue for a single-person household with a monthly usage allowance of 300 GB. Assume the monthly cost is about $70 for such a plan.


The math gets tricker for multiple-person households, especially if many users are watching different programs. But the revenue logic is simple enough. If two residents watch five hours a day of TV, and that consumption is shifted (for the sake of argument) to online delivery, then that household has to buy an access plan with a bigger data allowance, to account for the 450 GB of video consumption by the household.


As this one example illustrates, demand for Internet apps drives enough incremental usage that one might argue the Internet sometimes directly drives ISP revenue.

It’s complicated, but not quite a zero-sum game, as some might fear.

How Much Text Messaging Cannibalization, Really?

Following up on the issue of how much the Internet has harmed telecom revenues, the amount of revenue destruction is rather complicated. While most wouild agree that some amount of telecom service provider revenue from voice and text messaging has been disrupted by over the top alternatives, the net revenue impact has to be balanced by creation of new revenue streams directly created by end user use of the Internet.

For example, Portio Research questions the actual amount of lost revenue. While in some markets over the top messaging presumably does cannibalize significant text messaging revenue, in other markets, where mobile Internet access is not widespread, dramatic growth of mobile adoption means more text messaging revenue is being created.

“During 2012 and 2013 we have seen many reports that operators are losing $20 billion to $30 billion in SMS revenue to OTT messaging apps,” said Karl Whitfield, a director at Portio Research. “We see reports that OTT traffic will be double that of SMS by the end of 2013,” he says. “This is wrong on both counts.”

It may be true that SMS revenues are levelling off and that OTT is on the rise, but SMS is still generating revenues of $15.3 million per hour, 24/7, that’s a massive $133.8 billion in 2013, Whitfield says.

Over the top apps generate about $3 million an hour, by way of comparison.

Worldwide SMS revenue has gone up year after year since the early 1990s and will continue to be above 2010 levels until 2017, Whitfield said.

In fact, in some markets, SMS and OTT apps are coexisting, serving end users in different ways.

There is a huge uptake of OTT messaging in Japan, particularly with local player LINE, yet the SMS market remains healthy and stable, he says.

The same goes for South Korea, where KakaoTalk is enjoying huge success; here again the SMS market remains stable and is not declining as many predicted.

Where SMS has seen a decline, in markets such as Spain and Greece, there has been an overall fall in subscribers and revenues at the same time.

“Our research into mobile messaging completely contradicts what some other industry observers are saying,” said Whitfield.



Global OTT and P2P Messaging Traffic (Billions)


2010
2011
2012
2013F
2014F
2015F
2016F
2017F
P2P SMS
5,812
6,546
6,623
6,687
6,654
6,522
6,304
5,931
OTT Messaging
1,494
3,840
6,774
10,452
14,970
20,437
26,359
32,141

The point is that product substitution, while a fact, might not be as destabilizing a revenue trend as sometimes  believed.

FAA Authorizes Commercial-Drone Testing

Most rather exotic technologies take a while to reach commercial maturation. Artificial intelligence and robotics might provide another example. Though robotics have been a mainstay of manufacturing for 40 years, the extension of more advanced forms of applied artificial intelligence only now seem to reaching a new stage of commercialization.

Google's self-driving cars are one example. A more important development is that the 

U.S, Federal Aviation Administration has selected a handful of universities and state agencies to operate sites for drone testing, in a step toward eventually integrating commercial unmanned aircraft into the U.S. aviation system.


That might begin to happen as early as 2015, some think. That's a huge step forward.

The six operators of test sites for unmanned aircraft include the University of Alaska, the State of Nevada, New York's Griffiss International Airport, the North Dakota Department of Commerce, Texas A&M University - Corpus Christi and Virginia Polytechnic Institute and State University.


None of those tests seem yet to involve commercial applications, instead focusing on how such systems might work, safely. The next big steps will involve apps using such drones.

Economics Does Not Explain Everything Because "Irrational" Behavior Matters

Economics is a discipline rather rare in the public policy arena, including the communications business, at times.

Though political rationality also is at work when policies are created, political rationality ("what can be done; what is possible") is not always quite so rational in terms of how people, firms and markets will change, once any set of policies are implemented.

In fact, it is impossible to know, with certainty, how behavior will change, in unexpected way, once a set of changes is made. That also applies for incentives people have when creating products and services. 

"People can be really smart or have skills that are directly applicable, but if they don’t really believe in it, then they are not going to really work hard," says Mark Zuckerberg, Facebook CEO.

That intangible--commitment--cannot be modeled mathematically. Sometimes forces that cannot be measured or modeled--love, affection, idealism--indeed can shape behavior. At least sometimes, that means impossible things can, at least for a time, become "possible."

So "irrational" behavior sometimes can confound forecasters and predictions. And by "irrational," one does not have to imply "not rational and therefore destructive." Love is irrational, too. Passion and idealism likewise can sometimes cause behaviors we cannot quite anticipate.

If some firms seem to continually outperform others, at least some of the time that is because those organizations have harnessed "irrational" commitments. No bureaucratic structure can fully compensate for that. 

AI Impact on Data Centers

source: PTC