Top 10 Predictions for $2.14 Trillion IT Market in 2014: IDC

IDC issued recently its top 10 predictions for 2014. IDC’s Frank Gens predicted that 2014 “will be about pitched battles” and a coming IT industry consolidation around a small number of big “winners.” The industry landscape will change as “incumbents will no longer be foolish enough to say we don’t compete with Amazon.”

Here’s my edited version of the predictions in the IDC press release and webcast:

Overall IT spending to grow 5.1% to $2.14 trillion, PC revenues to decline 6%

Worldwide sales of smartphones (12% growth) and tablets (18%) will continue at a “torrid pace” (accounting for over 60% of total IT market growth) at the expense of PC sales which will continue to decline. Spending on servers, storage, networks, software, and services will “fare better” than in 2013.

Android vs Apple, round 6

The Samsung-led Android community “will maintain its volume advantage over Apple,” but Apple will continue to enjoy “higher average selling prices and an established ecosystem of apps.” Google Play (Android) app downloads and revenues, however, “are making dramatic gains.” IDC advises Microsoft to “quickly double mobile developer interest in Windows.” Or else?

Amazon (and possibly Google) to take on traditional IT suppliers

Amazon Web Services’ “avalanche of platform-as-a-service offerings for developers and higher value services for businesses” will force traditional IT suppliers to “urgently reconfigure themselves.” Google, IDC predicts, will join in the fight, as it realizes “it is at risk of being boxed out of a market where it should be vying for leadership.”***

Emerging markets will return to double-digit growth of 10%

Emerging markets will account for 35% of worldwide IT revenues and, for the first time, more than 60% of worldwide IT spending growth. “In dollar terms,” IDC says, “China’s IT spending growth will match that of the United States, even though the Chinese market is only one third the size of the U.S. market.” In 2014, the number of smart connected devices shipped
in emerging markets will be almost double that shipped in developed markets and emerging markets will be a hotbed of Internet of Things market development.

In Pictures: Gartner’s 10 Strategic Technology Trends For 2013

There’s a $100 billion cloud in our future

Spending on cloud services and the technology to enable these services “will surge by 25% in 2014, reaching over $100 billion.” IDC predicts “a dramatic increase in the number of datacenters as cloud players race to achieve global scale.”

Cloud service providers will increasingly drive the IT market

As cloud-dedicated datacenters grow in number and importance, the market for server, storage, and networking components “will increasingly be driven by cloud service providers, who have traditionally favored highly componentized and commoditized designs.” The incumbent IT hardware vendors will be forced to adopt a “cloud-first” strategy, IDC predicts. 25–30% of server shipments will go to datacenters managed by service providers, growing to 43% by 2017.

Bigger big data spending

IDC predicts spending of more than $14 billion on big data technologies and services or 30% growth year-over-year, “as demand for big data analytics skills continues to outstrip supply.” The cloud will play a bigger role with IDC predicting a race to develop cloud-based platforms capable of streaming data in real time. There will be increased use by enterprises of externally-sourced data and applications and “data brokers will proliferate.” IDC predicts explosive growth in big data analytics services, with the number of providers to triple in three years. 2014 spending on these services will exceed $4.5 billion, growing by 21%.

Here comes the social enterprise

IDC predicts increased integration of social technologies into existing enterprise applications. “In addition to being a strategic component in virtually all customer engagement and marketing strategies,” IDC says, “data from social applications will feed the product and service development process.” By 2017, 80% of Fortune 500 companies will have an active customer community, up from 30% today.

Here comes the Internet of Things

By 2020, the Internet of Things will generate 30 billion autonomously connected end points and $8.9 trillion in revenues. IDC predicts that in 2014 we will see new partnerships among IT vendors, service providers, and semiconductor vendors that will address this market. Again, China will be a key player:  The average Chinese home in 2030 will have 40–50 intelligent devices/sensors, generating 200TB of data annually.

The digitization of all industries

By 2018, 1/3 of share leaders in virtually all industries will be “Amazoned” by new and incumbent players. “A key to competing in these disrupted and reinvented industries,” IDC says, “will be to create industry-focused innovation platforms (like GE’s Predix) that attract and enable large communities of innovators – dozens to hundreds will emerge in the next several years.” Concomitant with this digitization of everything trend, “the IT buyer profile continues to shift to business executives. In 2014, and through 2017, IT spending by groups outside of IT departments will grow at more than 6% per year.”

***Can’t resist quoting my August 2011 post: “Consumer vs. enterprise is an old and soon-to-be obsolete distinction. If Google will not take away some of Microsoft’s (and IBM’s, etc. for that matter) “enterprise” revenues, someone else will. At stake are the $1.5 trillion spent annually by enterprises on hardware, software, and services. If you include what enterprises spend on IT internally (staff, etc.), you get at least $3 trillion. A big chunk of that will move to the cloud over the next fifteen years. Compare this $3 trillion to the $400 billion spent annually on all types of advertising worldwide.  Why leave money on the table?”

[Originally published on Forbes.com]

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The Digitization of Everything or the Coming of the Internet of Flying Things

My post on Inside Tech Talk:

The only bit of news—and a lot of buzz—that came out of Jeff Bezos’ interview with Charlie Rose on CBS’ 60 Minutes last Sunday was the unveiling of Prime Air. It’s an Amazon “R&D project” that is investigating the delivery of packages (up to five pounds) by aerial drones, getting them to the customer’s door in 30 minutes or less.

On its website, Amazon says that “We hope the FAA’s rules will be in place as early as sometime in 2015. We will be ready at that time.” Indeed, the FAA promises to be ready by 2015 according to its “roadmap for integration of civil unmanned aircraft systems.” But in the interview, Bezos refused to commit to a specific date, talking about the work they still need to do to ensure reliability and redundancy.

Reliability is a great challenge today for octocopters (the type of drones Amazon will use) as can be seen in this YouTube video. And even if Amazon finds out how to reduce the risk to a minimum, it will always be there, to say nothing about the opposition from privacy advocates, noise complainers, and others. So why is Bezos investing in the future (or fiction) of delivery?

Some explain it as a gimmick aimed to distract investors’ attention from Amazon’s latest financial report, as if the lack of profits is anything new to Amazon’s investors. Others may see it as Google-envy, one-upping its rival by adding “flying” to “autonomous vehicles,” as if Bezos has suddenly metamorphosed into a Brin.

I see it as a logical extension of the focus on the speed of delivery that has been driving Bezos and Amazon for eighteen years. As Bezos explained to Wired’s Steven Levy when he was asked about the link between retail and Amazon’s new thrust into consumer electronics: “…we’ve always focused on reducing the time between order and delivery. In hardware, it’s the same principle. An example is the time between when we take delivery on a processor to when it’s being used in a device by a customer.”

Bezos is bothered by waste and inefficiency the same way Steve Jobs was bothered by lack of imagination or bad aesthetics.

Product design was the core of Steve Jobs’ strategy to ride the digitization of everything. The speed of delivery is the core of Bezos’. With drone delivery, he is trying to eliminate the wasteful irritation of the last mile. No matter how close to where his customers live he is going to build Amazon’s warehouses (36 and counting), the most he can promise is same-day delivery. So he is going to circumvent and disrupt UPS and FedEx, the delivery partners that have been helped so much by Amazon’s success over the last decade. In the future, he may even disrupt his own drone delivery, by completely digitizing the last mile, through 3D printing in the customer’s house.

In the 60 Minutes interview, Bezos explained everything he does by fear of disruption. He believes that Amazon, like so many other companies in the past, will be disrupted one day and will simply disappear. He just hopes that will happen after he dies. In the meantime, he rides the digitization of everything with a maniacal focus on the speed of delivery.

Update: See here for Fred Smith of FedEx talking in 2009 (!) about their desire to use drones. HT @daviottenheimer

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Mobile Drives Big Data: Ericsson Mobility Report

MOBILE SUBSCRIPTIONS OUTLOOK
MOBILE TRAFFIC
MOBILE APPLICATION TRAFFIC OUTLOOK

The complete report is here and here

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Sources and Types of Big Data (Infographic)

INTELLIGENCE BY VARIETY
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Big Data: Who, Why, and How (Infographic)

The who, why and how of BIG DATA

“Early adopters of Big Data analytics have gained a significant lead over the rest of the corporate world. Examining more than 400 large companies, we found that those with the most advanced analytics capabilities are outperforming competitors by wide margins.”

Source: Bain & Company

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DataKind’s Jack Porway on Data Science

[youtube=http://www.youtube.com/watch?v=Mm1RplOU0cQ&w=560&h=315]

“If you leave an excited data scientist on his own to solve a problem, he’s going to solve his own problem – which is usually parking his car, or finding a bar to drink at. The trick that we worked on was actually less about data and more about translation, about finding a way for data scientists to speak the language of the people who were trying to solve the big problems… the biggest [challenge] is actually the framing of the problem: really finding the question. As any good data scientist will tell you, it’s not so much about the data, it’s the question you start with”–Jack Porway, DataKind

More here

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What Will Make You a Big Data Leader?

What Will Make You a Big Data Leader?

The IBM Institute for Business Value’s 2013 analytics survey surveyed 900 business and IT executives from 70 countries. “Leaders” (19% of the sample) were respondents self identified as “substantially outperforming their market or industry peers” in a question used by the IBM Institute for Business Value for years across a wide variety of surveys.

The full report is here

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The Digitization of IT

In many companies today, the “consumerization of IT” is turning into the “Digitization of IT.” The spreading of consumer technologies and services into the workplace is being expanded into a larger set of IT practices, borrowed from Silicon Valley innovators and adapted to the needs of enterprises in a variety of industries.

The old IT was analog IT: A single-purpose function designed to automate specific business activities, provide support and governance, and “keep the trains running on time.” The new IT is digital: Multi-purpose, extremely flexible, weaved into every aspect of the business, and gushing with unexplored and previously unknown opportunities.

The digitization of IT means that the IT organization is both stable and innovative, fault tolerant and fast learning, reliable and experimental. It solves the paradox of “safe is risky, stable is dangerous.” It promotes a culture of constant change which ensures resilience, and experimentation which safeguards continuity. Yes, you can have the best of both worlds.

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SAS CTO on Big Data and Big Compute

“One of my biggest challenges,” Keith Collins told me recently, “is helping SAS understand how to communicate to IT organizations. We present workloads which look odd and different. IT does not know how to have an SLA (Service Level Agreement) around them.  We take all of the compute and I/O capacity that they can give us.”

SAS, the largest independent vendor in the business intelligence market, used to be a prime example of “shadow IT,” the purchasing of information technology tools by business users without the knowledge and approval of the central IT organization. But this is changing in the era of big data. The collection and analysis of data are becoming a very large part of many business activities and the IT organization is asked to provide support, even leadership, in tying together these disparate efforts.

Collins is SVP and CTO at SAS, where he has spent almost 30 years, helping the company grow with the market through a number of phases (and buzzwords)—statistical analysis, decision-support, data mining, knowledge and risk management, business intelligence, and business analytics.  Now SAS is helping its customers, including CIOs and their IT teams, address the challenges of big data. Collins has seen this movie before: “People are all hyped up about Hadoop.  But what is it, really? It is big and wide record sizes, big block sizes, designed specifically for high-volume, sequential processing. Just like a SAS data set in 1968… The only difference between a SAS data set and Hadoop is that now the disks are cheap enough that you can do replication.”  The following is an edited transcript of our conversation.

Gil Press:  Indeed, many people talk about Hadoop as a replacement for tape.

Keith Collins:  We love that people get that as a pattern now, because it really helps them understand SAS.  So it is a really good time for us to have the conversation with IT about it. But they are still struggling.  They see it as “what is my next big data repository?”  They do not see it as “this is my next big way to answer questions.”

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5 Minutes on the Myth of the Data Science Platypus (Video)

[youtube=http://www.youtube.com/watch?v=9f-XXR9j6m8&w=420&h=315]

“Data science is in danger of being a fad. Data scientists need to build a reputation for providing actual value”–Kim Stedman

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