Skip to main content

U.S. Leading Fixed-Mobile Convergence

According to the latest Strategy Analytics report, "Cellular Beats Convergence in In-Building Voice Battleground," the U.S. market will lead adoption of fixed mobile convergence (FMC), as the rest of the world sees FMC play second fiddle to cellular-only substitution. Seven percent of voice telephony users will use a FMC product in the U.S. by 2010, compared with only two percent outside the U.S. "North America will buck the global trend, where cellular based solutions rather than converged fixed-mobile voice services will dominate. Advanced penetration of WiFi networks, a robust cellphone replacement market, spotty in-building cellular coverage and a dynamic broadband and cable industry will combine to keep cellular-only users at bay in the U.S.," comments David Kerr, Vice President, Strategy Analytics' Global Wireless Practice. "Players like Time Warner, Comcast and Cox have most to gain in terms of revenue opportunities, with early FMC moves by BellSouth a clear indication that they need to protect their entrenched positions in the fixed and mobile voice markets."

Popular posts from this blog

How AI Assistants Boost Software Creation

The field of enterprise software development has long been driven by human ingenuity. Programmers have meticulously crafted lines of code, bringing complex apps and systems to life. However, a new era is dawning, one where Artificial Intelligence (AI) is poised to fundamentally change the way software is created, tested, and deployed. According to the latest market study by Gartner, a significant shift is on the horizon. By 2028, 75 percent of enterprise software engineers will be utilizing AI-powered code assistants. This statistic paints a clear picture: AI is not here to replace software programmers, but rather to augment their capabilities and usher in a new era of collaborative co-creation. AI Code Assistant Market Development The rise of AI code assistants can be attributed to several factors. Firstly, the ever-increasing complexity of software demands new tools to streamline development. Modern applications are intricate networks of code, often built upon a foundation of existin