The huge wave of AI has accelerated demand for cloud, but it has also triggered questions on whether deploying in centralised environments is always suitable, or if enterprises should instead consider the edge. Our edge AI forecast identifies the value of this opportunity, pointing to the use cases and the verticals that are driving growth, and determining the extent to which AI will stimulate more revenue at the edge.
Ten years of private network deployments tracked in our global insights tool.
Telcos are pursuing a telecom techco vision to renew business models. This report explores how network cloud, automation and AI accelerate this transformation, with insights on scaling these technologies, impactful AI/automation use cases and the advantages of open source.
This report explores private network delivery models – on-premises, hybrid and network slicing. It also offers insights into deployment strategies, market opportunities and actionable recommendations for telcos to address diverse enterprise connectivity needs across industries.
In this report, we update our model of the financial value of adding AI, analytics and automation (A3) into a telco’s processes. This report focuses on the impact A3 can have in the BSS, channels, marketing and sales, and has a particular focus on the impact of new GenAI capabilities in these areas.
Edge computing is a key enabling technology for AI and GenAI applications, providing the local processing power and low-latency connectivity needed for real-time decision-making and data processing. This report looks at the trends in investments in edge computing companies – from edge data centres to platforms and applications – and the market outlook for 2025.