Skip to main content

173 Million Americans Now Own a Smartphone

Perhaps Apple will introduce a new and better value iPhone this week that will help them regain lost market share in the U.S., as more people continue to choose a lower-cost Google Android-based device.

Meanwhile, comScore has released data from their latest market study, reporting key trends in the U.S. smartphone industry for July 2014.

Apple ranked as the top smartphone manufacturer with 42.4 percent OEM market share, while Google Android led as the number one smartphone platform with 51.5 percent platform market share.

Once again, Facebook ranked as the top individual smartphone software application. And, Google has claimed four of top five most popular smartphone apps in America.

Smartphone OEM Market Share

173 million people in the U.S. owned smartphones (71.8 percent mobile market penetration) during the three months ending in July -- that's up by 3 percent since April.

Apple ranked as the top OEM with 42.4 percent of U.S. smartphone subscribers (up 1 percentage point from April).

Samsung ranked second with 28.4 percent market share (up 0.7 percentage points), followed by LG with 6.4 percent, Motorola with 5.7 percent and HTC with 4.7 percent.

Smartphone Platform Market Share

Android ranked as the top smartphone platform in July with 51.5 percent market share, followed by Apple with 42.4 percent (up 1 percentage point from April).

Microsoft followed with 3.6 percent (up 0.3 percentage points), BlackBerry with 2.3 percent and Symbian with 0.1 percent.

Leading Smartphone Software Apps

Facebook ranked as the top smartphone application, reaching 71.6 percent of the app audience, followed by YouTube (53.7 percent), Google Play (51.7 percent) and Google Search (47.5 percent).

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...