The global Cloud FinOps for AI Workloads (AI-Centric Cloud Cost Management) market was valued at $2.8 billion in 2025 and is projected to reach $10.4 billion by 2034, expanding at a compound annual growth rate (CAGR) of 31.2% during the forecast period 2026-2034, making it one of the fastest-growing subsegments within enterprise cloud governance. The market's extraordinary growth trajectory is anchored in the fundamental economics of modern artificial intelligence infrastructure: training a single large language model can consume millions of dollars of GPU-hours, and without systematic cost attribution and optimization tooling, organizations routinely overspend by 30-50% on cloud-based AI compute. As AI workloads have transitioned from experimental pilots to production-scale deployments across virtually every major industry vertical, the discipline of FinOps has had to evolve dramatically beyond its origins in general-purpose EC2 and virtual machine cost allocation to address the unique challenges of GPU clusters, distributed training jobs, inference endpoints, vector databases, and high-throughput data pipelines. https://researchintelo.com/report/cloud-finops-for-ai-workloads-ai-centric-cloud-cost-management-market