Big Data. Big Decisions
InformationWeek
Special Coverage Series


U.K. Data Center Colocation Business Growing

U.K. companies are investing in data center colocation facilities to meet growing demand, as IT departments lean more on cloud computing.

8 Cloud Tools For Road Warriors
8 Cloud Tools For Road Warriors
(click image for larger view and for slideshow)
As more companies move to the cloud to expand their IT capabilities, the effect on storage requirements has been vast, causing companies to increasingly call on external data center services, including colocation options.

U.K. Trade & Investment claims that the annual market value of the U.K.'s cloud computing market will grow from £2.4 billion to £6.1 billion by 2014 (equivalent to $9.8 billion), and that by 2015 half of all new IT spending by the public sector will be on public cloud services. This in turn is putting pressure on storage capacity.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

In response, the U.K. data center market -- the largest in Western Europe -- is currently investing in its facilities at a rate of around $3 billion a year, according to various analyst estimates, with only the U.S. investing more. Market watcher DatacenterDynamics has calculated that, at the last count, the U.K. boasted more than 7.6 million square meters (nearly 25 million square feet) of data center space.

In December, cloud analyst firm 451 Group predicted a healthy colocation and wholesale data center market in 2013, with growing use of multi-tenant data center space.

[ Services firms are trying to cash in on Windows migration slackers. See Windows XP Stalwarts Boost Services Business In U.K.. ]

Explaining the drivers for renting space in a shared storage facility, Edward Jones, CEO of U.K. property development company PMB Holdings, noted that the cost of constructing a new data center in Europe now runs more than $30 million, representing a risky and unaffordable proposition for many companies. PMB is currently overseeing construction of the MK DataVault, a new colocation data center in Milton Keynes, northwest of London, where businesses will have the option to have facilities tailored to their specific requirements.

"Expense always plays a large role in strategic IT investments, and the ongoing economic instability around the world has made companies even more wary of large investments," Jones said. "Many businesses will have stuck to an 'if it isn't broken, don't fix it' attitude to their data storage over the years. Although the economy remains a concern for most companies, the growing number of data centers has brought greater choice and flexibility, making it easier to invest. Likewise, more flexible contracts and financial terms are helping more companies get involved."

Aside from the cost benefits of using an external service, data center ownership is also a much riskier strategy that leaves far less flexibility and room for error, Jones added. "A company building a smaller and more affordable center might find their demand outstripping it before long, while a large and expensive facility could become a costly white elephant if demand and growth don't live up to expectations. Renting space in a flexible data center offers a more viable solution with far less risk."



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.