Skip to main content

116.5 Million Americans Now Own a Smartphone

comScore reported the key trends in the U.S. mobile phone industry during the three month average period ending August 2012. Their latest market study surveyed more than 30,000 U.S. mobile subscribers and once again found Samsung to be the top handset manufacturer.

Google Android led among smartphone platforms, accounting for 52.6 percent of smartphone subscribers, while Apple iOS accounted for 34.3 percent.

For the three-month average period ending in August, 234 million Americans age 13 and older used mobile devices.

Device manufacturer Samsung ranked as the top OEM with 25.7 percent of U.S. mobile subscribers, followed by LG with 18.2 percent share.

Apple continued to inch closer to the #2 ranking with 17.1 percent of mobile subscribers (up 2.1 percentage points), followed by Motorola with 11.2 percent and HTC with 6.3 percent.

116.5 million people in the U.S. owned smartphones during the three months ending in August, up 6 percent versus May.

Google Android ranked as the top smartphone platform with 52.6 percent market share (up 1.7 percentage points), while Apple’s share increased 2.4 percentage points to 34.3 percent.

RIM ranked third with 8.3 percent share, followed by Microsoft (3.6 percent) and Symbian (0.7 percent).

In August, 75.6 percent of U.S. mobile subscribers used text messaging on their mobile device (up 0.8 percentage points). Downloaded applications were used by 53.4 percent of subscribers (up 2.3 percentage points), while browsers were used by 52 percent (up 2.2 percentage points).

Accessing of social networking sites or blogs increased 1.6 percentage points to 38.3 percent of mobile subscribers. Game-playing was done by 34 percent of the mobile audience (up 0.5 percentage points), while 28.3 percent listened to music on their phones (up 1.3 percentage points).

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...