Big Data. Big Decisions
InformationWeek
Special Coverage Series


Fiscal Cliff Still A Threat To IT Spending

Tax deal should bolster economy, but automatic spending cuts that could go into effect in March loom over tech industry.

Gartner and Forrester on Thursday released their annual predictions for IT spending in the year ahead. Both firms noted that this week's partial resolution of the so-called fiscal cliff crisis would help the industry toward modest growth in 2013. But another analyst said on Friday that the threat's not over.

Cindy Shaw, of Discern, told clients in a research note that the end of the payroll tax holiday, which means most Americans, even those making less than the $400,000 specified in the Congressional budget deal, will see a tax increase, combined with the possibility of looming federal spending cuts, could still put a drag on tech spending in the year ahead.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Shaw cited the fact that Congress failed to extend the payroll tax holiday, as well as the fact that automatic spending cuts might still kick in on March 1st unless Congress strikes another deal. The cuts, also known as sequestration, could affect thousands of government programs, many of them involving IT.

"Due to another two months of uncertainty about federal spending cuts and higher taxes for most Americans effective January 1st, we expect economic growth to slow early in 2013," Shaw wrote. "This should add to recent pressure on IT spending and negatively impact guidance on upcoming earnings calls. We do not view any IT company as immune."

[ Michael Dell discusses the company's future strategies in services, software, devices, and more. Read Michael Dell: Our Transformation Is Complete. ]

Among the tech heavyweights expected to announce earnings later this month are Microsoft (Jan. 24) and IBM (Jan. 22). Shaw said she believes IBM is "best positioned to weather a weak economy" due to its strong presence in emerging markets like China, where she believes enterprise spending is recovering, as well as its focus on high-margin products like enterprise software.

Shaw added that she thinks Dell, which reports earnings on Feb. 19, is among the tech vendors "most exposed" to a downturn. "Positive services developments cannot overcome negative hardware trends at Dell in the near term," Shaw wrote.

On Thursday, both Gartner and Forrester published their 2013 IT spending forecasts.

Gartner predicts spending to increase 4.2% compared to 2012, to $3.7 trillion, or 3.9% when the effects of changes in exchange rates are excluded. Forrester is calling for a 5.4% uptick in worldwide IT spending in 2013, to $1.8 trillion, or a 3.3% gain excluding exchange rate shifts. Unlike Gartner, Forrester does not include spending on telecom products and services in its forecasts.

The product category poised for the most growth, according to Gartner, is devices, which includes PCs, tablets, and smartphones. Worldwide spending on such products will increase 6.6%, to $666 billion, the firm predicts. Gartner previously predicted that the category would grow 7.9% this year, but the increasing popularity of low-cost tablets -- at the expense of pricier PCs -- led it to lower its forecast.

Forrester predicted that Apple will outpace other device makers, estimating that the company's enterprise Mac sales will total $7 billion this year while enterprise iPad sales will hit $11 billion.

The Dow Jones Industrial Average was up 23.95 points in afternoon trading Friday, while the Nasdaq was up .47 points.

Tech spending is looking up, but IT must focus more on customers and less on internal systems. Also in the new, all-digital Outlook 2013 issue of InformationWeek: Five painless rules for encryption. (Free registration required.)



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.