Skip to main content

106 Million Americans Now Own a Smartphone

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

Google Android continued to grow its share in the U.S. smartphone market, accounting for 51 percent of smartphone subscribers, while Apple iOS captured more than 30 percent.

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

Device manufacturer Samsung ranked as the top OEM with 26.0 percent of U.S. mobile subscribers (up 0.7 percentage points), followed by LG with 19.3 percent share.

Apple continued to gain share in the OEM market, ranking third with 14.0 percent of mobile subscribers (up 1.6 percentage points), followed by Motorola with 12.8 percent and HTC with 6.0 percent.

More than 106 million people in the U.S. owned smartphones during the three months ending in March, up 9 percent versus December.

Google Android ranked as the top smartphone platform with 51 percent market share (up 3.7 percentage points).

Apple’s share of the smartphone market increased 1.1 percentage points to 30.7 percent. RIM ranked third with 12.3 percent share, followed by Microsoft (3.9 percent) and Symbian (1.4 percent).

In March, 74.3 percent of U.S. mobile subscribers used text messaging on their mobile device. Downloaded applications were used by 50 percent of subscribers (up 2.4 percentage points), while browsers were used by 49.3 percent (up 1.8 percentage points).

Accessing of social networking sites or blogs increased 0.8 percentage points to 36.1 percent of mobile subscribers. Game-playing was done by 32.6 percent of the mobile audience (up 1.2 percentage points), while 25.3 percent listened to music on their phones (up 1.5 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...