Skip to main content

Smartphones and the Experience Provider

According to ABI Research, the market for mobile smartphones will grow from around 10 percent of the total handset market in 2007 to 31 percent of the market in 2013. Looking forward, it's all going to be about designing the user experience.

A new study projects this rapid growth to be a product of a number of complex factors including carrier drive to grow data revenues from advanced services and the general trend to pushing smart operating systems down into middle tier devices.

Smart operating systems are continually being optimized to run on processors with lower performance. There is a strategic move to support a smart OS in single chip midrange devices in order to unlock more data revenues.

The market is currently dominated by Nokia (52 percent) and Symbian (65 percent). However, the coalescence of the framework wars in the Linux environment and the growing stature of Windows Mobile will enable new competitors to put pressure on this established axis.

The report finds that the Apple iPhone effect is truly filtering through the handset market as other OEMs strive to remain competitive.

Features that look set to proliferate and become central to enhancing user interface experiences include touch-screens, touch-pads, and accelerometers facilitating tilt and shock sensing, as well as haptics providing tactile feedback.

ABI's report provides an overview of the smartphone market, concentrating on key developments in both device feature set expansion and the evolving software landscape.

The report covers important topics including specific features and technologies that enhance the user interface, in addition to the encroachment of open source software into the smartphone domain.

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...