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).

Industrial and Manufacturing Technology Growth

In an evolving era of rapid advancement, market demand for innovative technology in the industrial and manufacturing sectors is skyrocketing. Leaders are recognizing the immense potential of digital transformation and are driving initiatives to integrate technologies into their business operations. These initiatives aim to enhance efficiency, reduce costs, and ultimately drive growth and competitiveness in an increasingly digital business upward trajectory. The industrial and manufacturing sectors have been the backbone of the Global Networked Economy, contributing $16 trillion in value in 2021. Industrial and Manufacturing Tech Market Development This growth represents a 20 percent increase from 2020, highlighting the resilience and adaptability of these sectors in the face of unprecedented challenges, according to the latest worldwide market study by ABI Research . The five largest manufacturing verticals -- automotive, computer and electronic, primary metal, food, and machinery -

Rise of AI-Enabled Smart Traffic Management

The demand for smart traffic management systems has grown due to rising urban populations and increasing vehicle ownership. With more people and cars concentrated in cities, problems like traffic congestion, air pollution, and greenhouse gas emissions are pressing issues. Since the early 2000s, government leaders have been exploring ways to leverage advances in IoT connectivity, sensors, artificial intelligence (AI), and data analytics to address these transportation challenges. The concept of a Smart City emerged in the 2010s, with smart mobility and intelligent traffic management as key components. Smart Traffic Management Market Development Concerns about continued climate change, as well as cost savings from improved traffic flow, have further motivated local government investment in these advanced systems. According to the latest worldwide market study by Juniper Research, they found that by 2028, smart traffic management investment will be up by 75 percent from a 2023 figure of

AI Software Market will Reach $251 Billion

The growth in Artificial Intelligence (AI) software could lead to many benefits. As more organizations adopt AI, they may become more efficient, productive, and able to offer improved products and services. The global job market could also expand, with demand growing for roles like AI engineers and technicians. Plus, AI apps could enable breakthroughs in fields like healthcare, transportation, and energy. The worldwide AI software market will grow from $64 billion in 2022 to nearly $251 billion in 2027 at a compound annual growth rate (CAGR) of 31.4 percent, according to the latest market study by International Data Corporation (IDC). AI Software Market Development The forecast for AI-centric software includes Artificial Intelligence Platforms, AI Applications, AI System Infrastructure Software (SIS), and AI Application Development and Deployment (AD&D) software (excluding AI platforms). However, it does not include Generative AI (GenAI) platforms and applications, which IDC recent

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