Skip to main content

Mobile Business Applications and Services

Enterprises hold vast amounts of stored information -- typically available to their employees only on company premises, via PCs connected to the company's secure Intranet.

According to a study by ABI Research, mobile line of business applications on the handset -- mobile business process solutions -- are liberating company-specific data for support of the mobile workforce.

Over the next five years, application revenue in this service category will grow at a CAGR of over 102 percent.

Two forces are driving development and availability of mobile line of business applications for the handset. Database vendors are supporting mobility strategies both internally and through the development of VAR communities; and businesses are requesting access and collection of company-relevant data on the mobile device.

But these forces of supply and demand are only possible because of greatly improved handset capabilities and wireless broadband access.

Field employees who need access to company-specific information and/or collect company-specific information as part of their jobs are best served by these applications and include employees in sales, repair and maintenance, transportation, healthcare, and protective service occupations.

And because these services are offered on a subscription basis and can be hosted, both large and small companies can benefit from these applications.

Interestingly, ABI Research believes line of business applications will also drive the need for additional services. Mobile data plan revenues will grow at a 29 percent CAGR over the next five years in large part due to mobile line of business application growth.

More companies will see the benefits of mobile device management services as a cost-effective way to support LOB and other applications being used by their mobile workforce.

Popular posts from this blog

AI Agents Have Memory. Where is The Security?

Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...