Big Data. Big Decisions
InformationWeek
Special Coverage Series


Smartphone Consumer Demand Growing

Synergies among mobile operators, internet, media, and entertainment players will further bolster interest in advanced features and apps, said Frost & Sullivan.

Despite the economic downturn, consumers' thirst for sophisticated devices and features continues to grow, and so does the market serving it, according to new research by Frost & Sullivan.

Features like touchscreen functionality, Wi-Fi, and location-based services remain in demand, and the firm said that software will continue to play a significant role in the mobile handset market in the next two years. In order to further bolster the appeal of advanced handsets, synergies will likely develop between mobile operators and internet companies, the media, and the entertainment industry, Frost & Sullivan predicts.

At the end of 2008, 147.8 million smartphones had shipped in North America, Europe, Asia Pacific, and Latin America, according to the analysis from the Frost & Sullivan report, "The Race of Smartphones, What Next? Impetus in OS and Technology Innovation in Smartphones." By 2014, that number is projected to reach 442.9 million, with Asia Pacific accounting for 161.9 million smartphones and 85.4 million devices in Western Europe.

"The smartphone market will remain highly fragmented in the next five years," Frost & Sullivan senior industry analyst Saverio Romeo said in a statement. "Although traditional participants across the smartphone value chain will continue to dominate the market, there will be more collaboration between consumer electronic device manufacturers, and new technology vendors will be the trendsetters in the mobile market."

The demand for smartphones is being fueled by a consumer desire for ultimate converged devices that support functionalities such as touchscreen, camera/video support, dual SIM card, Wi-Fi, and integrated GPS. The research suggests that application developers and social media and Internet communities will gain more prominence in the wireless and mobile market, resulting in further collaboration.

Another factor that will influence revenue growth in this market will be falling average sale prices. Over the next four to five years, the smartphone market will also be greatly impacted by diverse operating system platforms, intense competition among smartphone manufacturers, and the devices' poor battery life, in trying to support multiple access technologies.

"Users are moving towards a complex and rich mobile experience made of communication, entertainment, and productivity services,'' said Romeo. "The smartphones are the right devices for this experience. Their role will increasingly become vital in the mobile communications market driving diffusion of new services and applications."



Related Reading


More Insights




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.