The global entertainment and media industry is projected to grow at a 7.3 percent compound annual growth rate, from $1.3 trillion last year to $1.8 trillion in 2009, spurred by improved economic conditions, an advertising upswing, and increased focus on online distribution of music, films, books and video games, according to PricewaterhouseCoopers. Fueled by broadband adoption, the Internet sector for entertainment and media is expected to grow at a 17 percent CAGR, reaching $289 billion in 2009, while online advertising will grow at a 16 percent CAGR to $32 billion the same year. New spending streams on broadband and wireless distribution platforms will grow revenues for those sectors from $11.4 billion in 2004 to nearly $73 billion by 2009. "The entertainment and media industry continues to display an extraordinary ability to reinvent itself and create new revenue streams through innovative offerings that barely existed as recently as 2000," said PwC's Wayne Jackson. "Online and wireless video games, online film rental subscriptions, licensed digital distribution of music, and the rapid adoption of ring tones and mobile music downloads are becoming critical components of the industry and driving significant revenues across all regions."
Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...