CloudKeeper’s What’s New with Cloud Cost Optimization in 2025? reveals how AI, automation, and modernization are redefining cloud financial management. Drawing from data on 500+ organizations, the report finds that idle resources, over-provisioned instances, and poor visibility still drive waste—90% of firms could lower costs by migrating to ARM-based Graviton or AMD compute. AI-powered anomaly detection and predictive analytics are cutting unexpected bill spikes by 20% and improving rightsizing efficiency up to 30%. Multi-cloud adoption and FinOps standardization, especially via the FOCUS 1.2 framework, are essential for unified cost governance. Companies mixing Spot Instances, Savings Plans, and AI-assisted commitment models achieve 15–30% savings. Best practices include automating scheduling, lifecycle policies, and anomaly detection while aligning finance and engineering through FinOps. The future of cost optimization lies in AI-driven automation, energy-efficient architectures, and cross-cloud governance for sustainable, predictable cloud spend.

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