Big Data. Big Decisions
InformationWeek
Special Coverage Series


U.K. Chipmaker ARM Logs Quiet Success

ARM's low-power, low-cost chips play a key role in the mobile consumer tech market. Why isn't its success as a British firm better recognized?

It's a universally acknowledged truth that the British have no globally dominant tech firms. Sure, it used to have Autonomy, but that software firm's current owners, HP, have gone on record to claim its swoop on the firm was over-priced (also, in SMB accounting, Sage is a force to reckon with).

This correspondent still smarts from a swipe made years ago at a press conference linking the U.K.'s national IT profile to a poor reputation for quality in the 1970s: "The British never did hardware as they couldn't figure out a way to make it leak oil." Unfair? Probably, but the record is clear: No Apples, Facebooks, Ciscos or Intels boast a U.K. postcode.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

The problem with that argument is that Britain does have a chip company as powerful as Intel -- arguably, one that's set to become dominant enough to make any Silicon Valley firm management team envious. That company is Cambridge-based ARM, which seems to have an unbreakable lock on the biggest growth area in tech: consumer devices.

[ Dell is exploring ARM-based servers for use in more energy-efficient data centers. Read more at Dell Demos 64-Bit ARM-Based Server. ]

The quiet success of the company has been brought to light by its latest results, published this week. In Q4, ARM saw 21% year on year sales growth, from $217 million to $262.8 million (the company publishes its numbers in both dollars and pounds) and pre-tax profits up 16%, to $80 million. (It boasted a quite startling operating margin of 46% on those numbers, by the way.) For its full fiscal 2012, ARM reported a 16% boost in revenues, to $913 million, pre-tax up 20% to $276.5 million, and no less than an 18% up tick in earnings per share (in British pence).

Skeptics might say that a billion dollar revenue is good, but it's hardly mega-vendor status. Sure -- but what about the fact that last year 2.5 billion chips based on licensed ARM processor technology were shipped, and 36 new such processor licenses were signed?

The key to ARM's success is in the fact that those licenses have been snapped up, as the company points out, "for a broad range of applications, from smartphones and mobile computers to medical devices and microcontrollers." There's ARM hardware in the Microsoft Surface, for example. Customers are finding ever more places to put these low-power, relatively cheap processors, from cell phones to cameras to gaming devices to, well, wherever they can.

The company is said to make the vast majority of its money from licensing agreements it signed before 2008. ARM-designed chips are in every smartphone or tablet out there, be they from Apple, Samsung or others. (ARM does not formally identify Apple as a partner, although insiders confirm the two are closely linked and Apple was an original investor in the company when it launched in 1990.) ARM processors are also present in set-top boxes, data centers processing rich media content and a host of other 21st-century computing devices. Currently, the company has deals in place with 960 third parties; 410 of which have signed contracts since 2009.

That's why it doesn't matter if ARM is smaller than Intel or other big chip makers. It's powering the ubiquitous mobile computing revolution and could end up powering tens of billions of devices.

What's even more piquant about this global success story is that ARM is a successful spinoff of just one of the many Brit contender hardware firms of the 1980s: Acorn. (This also explains the company's name -- when the chip was first designed in 1983, ARM was an acronym for Acorn RISC Machine.)

The question remains: Why is there only one ARM, great as it is? British technologists need to do better before people will stop expecting oil to leak from their offerings.

Is global IT strategy changing to address a return to economic growth? InformationWeek is surveying IT executives on global IT strategies. Take our InformationWeek 2013 Global CIO Survey now. Survey ends Feb. 8.



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.