With sales of smartphones on a tear, it might not come as a surprise that enterprise workers are forgo their desktop phone in favor of advanced devices like the Apple iPhone.
But by doing so, they’re likely to cause new headaches for IT, researchers warn.
The number of business users who rely only on a mobile phone is expected to grow to 10 percent by next year, and to more than double to 22 percent by 2012, according to a new study from Gartner. That’s a sharp spike from 2006, when fewer than 5 percent of employees used only a mobile phone, 85 percent had both options and 13 percent stuck solely to a desktop phone.
The news comes in part as a result of the increasing proliferation and capabilities smartphones, which can enable workers to get more done when away from their desks thanks to growing support for productivity and enterprise applications. Last year, for instance, the popular Apple iPhone gained new ties to Microsoft Outlook and to database, customer relationship management and business intelligence apps.
Yet while Gartner’s findings may be positive for mobile phone and software vendors, they’re likely to signal a fresh batch of concerns for IT, experts said.
“Mobile phones have been making their way in on an ad-hoc basis in the past few years, with no coordinated effort by IT to manage them,” Phillip Redman, a research vice president at Gartner, told InternetNews.com. “But that’s going to change as enterprises need to take control for various reasons.”
Those reasons include security — keeping tabs on company data that users access on their mobile devices. And with the recession encouraging IT staffs to slash budgets, administrators also have to ensure they keep communications costs low. That could be difficult to manage, considering that mobile phone devices may be cheaper to buy than desktop units, but their services costs can run five times higher than their wired counterparts, Gartner said.
In response, IT organizations need to start planning use management, support and services costs.
“Right now, most companies have employees expensing device costs but they need to assess and analyze more cost-efficient plans as those costs will keep increasing,” Redman said.
Redman added that most companies have typically shied from dealing with mobile device issues because of required management time and sparse IT resources.
“What they don’t realize is that there are lots of hidden costs that can be eliminated with planning and good management,” he said.
Gartner said companies should look into consolidating wired and wireless services, developing mobile use policies, standardizing on platforms and avoiding duplication between mobile and desktop units to reduce costs.
This article was first published on InternetNews.com.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.