Skip to main content

Digital Video Headends & Distribution Hubs

The various categories of Digital Video Headends, and their Gigabit Ethernet components, are on a fast growth track and are expected to surge past $2.6 billion by 2009, reports In-Stat. Compared with indicators from other telecom segments, this segment's projected Compound Annual Growth Rate (CAGR) of 32.3 percent through 2009 is astounding. The report found that Gigabit Ethernet provides fully converged IP networks that are capable of delivering multiple services beyond the "triple play" of video, voice, and high-speed data. Cable TV and IPTV (also known as TelcoTV) services need to extend their brands beyond consumers' TV sets, and new GigE networks create the kind of flexible infrastructure that permits Content to become portable. High Definition TV (HDTV) and On Demand services are complicating bandwidth issues for Cable TV and IPTV services, creating demand for IP video equipment. Emerging opportunities in Europe and Asia will spur growth forward.

Popular posts from this blog

Securing the Future of Cellular IoT Apps

The Internet of Things (IoT) continues to expand. According to the latest worldwide market study by Juniper Research, they forecast a 90 percent growth in cellular IoT devices by 2028, with the global number reaching 6.5 billion. This exponential rise presents both exciting opportunities and significant challenges. While the growth of cellular IoT unlocks a vast potential for innovation in smart cities, industrial automation, and remote monitoring, it also requires device management and security advancements. Cellular IoT Market Development Juniper's research highlights the critical role of intelligent infrastructure management solutions. These platforms will empower the users to automate critical tasks such as device configuration, real-time security management, and optimized wireless connectivity. The surge in cellular data usage, projected to reach 46 petabytes by 2028 compared to 21 petabytes today, further underscores the need for automation. This is where federated learning i