Skip to main content

129.4 Million Americans Now own a Smartphone

Once again, according to the findings from the latest market study, smartphone adoption continues to rise in America. comScore reported key trends in the U.S. smartphone industry during the three month average period ending January 2013.

Apple ranked as the top smartphone manufacturer with 37.8 percent OEM market share, while Google Android led as the number one smartphone platform with 52.3 percent platform market share.

129.4 million people in the U.S. owned smartphones (55 percent mobile market penetration) during the three months ending in January -- that's up by 7 percent since October 2012.


Apple ranked as the top OEM with 37.8 percent of U.S. smartphone subscribers  -- that's up by 3.5 percentage points from October 2012.

Samsung ranked second with 21.4 percent market share (up by 1.9 percentage points), followed by HTC with 9.7 percent share, Motorola with 8.6 percent and LG with 7 percent (up by 0.3 percentage points).

Google Android ranked as the top smartphone platform with 52.3 percent market share, while Apple’s share increased 3.5 percentage points to 37.8 percent.

BlackBerry ranked third with 5.9 percent share, followed by Microsoft (3.1 percent) and Symbian (0.5 percent).

Popular posts from this blog

The AI Application Integration Challenge

Artificial intelligence (AI) has rapidly become the defining force in business technology development, but integrating AI into applications remains a formidable challenge. According to a recent Gartner survey, 77 percent of engineering leaders identify AI integration in apps as a major hurdle for their organizations. As demand for AI-powered solutions accelerates across every industry, understanding the tools, the barriers, and the opportunities is essential for business and technology leaders seeking to evolve. The Gartner survey highlights a key trend: while AI’s potential is widely recognized, the path to useful integration is anything but straightforward. IT leaders cite complexities in embedding AI models into existing software, managing data pipelines, ensuring security, and maintaining compliance as persistent obstacles. These challenges are compounded by a shortage of skilled AI engineers and the rapid evolution of AI technologies, which can outpace organizational readiness and...