New technologies allow mobile operators to stem the commoditization of the $500bn mobile voice market while capturing a share of fixed traffic -- "Fixed-mobile convergence and mobile VoIP will create substantial growth opportunities for mobile voice usage and revenues. Pyramid Research�s upcoming report, The Future of Mobile Voice, projects a $200bn opportunity for additional revenue through the migration of fixed-line traffic to mobile networks. This growth will not automatically go to mobile service providers as new IP technologies allow both mobile and fixed-line operators to compete for market share. To remain on top of mobile voice, mobile providers must rethink their approach to end-user services and networks."
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...