Strategy Analytics released its report, "Worldwide Cellular User Forecast 2005-2010," forecasting that the worldwide cellular user base will increase from 1.7 billion at the end of 2005 to 2.5 billion by the end of 2010, a 38 percent penetration rate. With average revenues falling 7 percent to $30 per user per month in 2005, Strategy Analytics expects further weakness in global ARPUs as increasingly prepaid-centric and low-ARPU China, India and other emerging markets remain the engine for user growth. Phil Kendall, report author and director of wireless operator research at Strategy Analytics, commented, "Voice usage will increase from 5.6 trillion minutes in 2005 to 12.6 trillion in 2010. GSM-based systems will continue to dominate the cellular landscape, accounting for 81 percent of subscribers and 76 percent of service revenues in 2010, though CDMA's more rapid evolution to 3G will see it dominate 3G subscriber volumes in the medium term." David Kerr, Vice President of the Global Wireless Practice, added, "3G subscribers will pass 50 million at the end of 2005. More importantly, European 3G markets are now outpacing Japan. The outlook for 3G is healthy provided that operators and their handset partners can expand beyond postpaid only users into the larger, but more price elastic, prepaid user segments.
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