Skip to main content

Battle Lines for Control of the Digital Home

Controlling Key Distribution Points in the Digital Home Value Chain will Determine Who Gets Lion's Share of $90 Billion US Broadband Profit Pool -- "The digital home revenue and profit landscape will be determined in large part by which players dominate key "control points" in the digital home, according to The Diffusion Group. several examples of these control points, include: Network access - the physical link to the home; Media access, including protocols and formats - including digital rights management (DRM), asset management, and video standards; Delivery and application platforms - including content delivery, device management, and operations system and support software/middleware; and Unique and defendable IP - including content creation and imaging technologies, as well as operating systems. As convergence technologies work their way deeper into the broadband homes, competing players will have the chance to solidify market position and extract higher profits from the total pool - a pool that is expected to grow from $50 billion in 2005 to almost $90 billion by 2010."

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