U.S. Consumer DVD 2005 Market Results

U.S. consumers spent $22.8 billion buying and renting DVDs during 2005, an 8 percent increase over 2004, according to a report from the Digital Entertainment Group, a trade group representing home video retail and rental companies.

DVD retail sales grew 5 percent, to $16.3 billion, while rentals were up 14 percent to $6.5 billion. However, the overall home video market -- which includes sales and rentals of both DVD and VHS -- actually shrank slightly in 2005, to $24.3 billion, from 2004's $24.5 billion. More than 1.6 billion DVDs were shipped during 2005, a 9 percent increase from 2004, bringing the total number of DVDs shipped since the format's launch to 5.6 billion discs.

The number of U.S. households with a DVD player, including portable models, rose to 82 million; when DVD-playing PCs and video game consoles are factored in, the number grows to 89 million. The DEG estimates that over 80 percent of U.S. TV households can now play DVDs.

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

GenAI Revolution: The Future of B2B Sales Apps

When B2B buyers consider a purchase they spend just 17 percent of that time meeting with vendors. When they are comparing multiple suppliers‚ time spent with any one salesperson is 5 or 6 percent. Self-directed B2B buyer online research has already changed procurement. IT vendors are less likely to be involved in solution assessment. Now, more disruptive changes are on the horizon. By 2028, 60 percent of B2B seller work will be executed through conversational user interfaces via Generative Artificial Intelligence sales technologies -- that's up from less than 5 percent in 2023, according to Gartner. Generative AI Market Development "Sales operations leaders and their technology teams must prepare for the convergence of new forms of artificial intelligence, dynamic process automation, and reinvented deal-planning activities that will transform the sales function," said Adnan Zijadic, director analyst at Gartner . According to the Gartner assessment, Generative AI (GenAI) s

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