Skip to main content

U.S. Industry-Specific Apps for Tablets and E-readers

The numbers and types of 3G and 4G devices -- other than mobile phone handsets -- such as tablets, notebooks, and e-readers that are used by U.S. business is becoming a larger portion of the overall business wireless spend.

According to the latest market study by In-Stat, that spending on non-handset 3G and 4G mobile services will exceed $5 billion by 2014.


"As businesses become more mobile and as wireless connections become more ubiquitous, it is inevitable that new technology will be employed by business in an effort to raise productivity," says Greg Potter, Research Analyst at In-Stat.

It should be no surprise to see upside forecasts that indicate this category of spending will grow -- in fact, it will become an even larger portion of wireless spending moving forward.

Other findings from In-Stat's study include:

- Enterprise spending makes up over 62 percent of business spending on non-handset data services, spending over $1.9 billion in 2010.

- The administrative and support services, healthcare and social services, and professional services verticals will all grow over 70 percent from 2010 to 2014.

- The healthcare and social services vertical represents the largest share of spending, over $400 million in 2010.

Popular posts from this blog

The AI Application Integration Challenge

Artificial intelligence (AI) has rapidly become the defining force in business technology development, but integrating AI into applications remains a formidable challenge. According to a recent Gartner survey, 77 percent of engineering leaders identify AI integration in apps as a major hurdle for their organizations. As demand for AI-powered solutions accelerates across every industry, understanding the tools, the barriers, and the opportunities is essential for business and technology leaders seeking to evolve. The Gartner survey highlights a key trend: while AI’s potential is widely recognized, the path to useful integration is anything but straightforward. IT leaders cite complexities in embedding AI models into existing software, managing data pipelines, ensuring security, and maintaining compliance as persistent obstacles. These challenges are compounded by a shortage of skilled AI engineers and the rapid evolution of AI technologies, which can outpace organizational readiness and...