Key Takeaways
- According to Flexera's 2024 State of the Cloud Report, 34% of organizations report that cloud waste accounts for more than 25% of their total cloud spend, highlighting significant untapped savings opportunities.
- Flexera 2024 State of the Cloud Report shows that organizations with mature FinOps practices achieve 25% greater cost savings compared to those without.
- Flexera 2024: Retail industry averages 28% cloud savings via sector-specific optimizations like seasonal scaling.
- AWS Reserved Instances (RI) provide up to 72% savings compared to On-Demand pricing for steady-state workloads, per AWS pricing calculator.
- Flexera 2024 indicates that rightsizing EC2 instances can yield 20-40% immediate cost reductions by matching instance types to actual CPU/memory utilization patterns.
Optimizing cloud usage can cut costs significantly by targeting the biggest waste across key services.
Related reading
01 · Category
Cloud Spend Waste Statistics30 stats
Cloud Spend Waste Statistics Interpretation
02 · Category
FinOps and Governance Impacts29 stats
FinOps and Governance Impacts Interpretation
03 · Category
Industry and Case Study Savings30 stats
Industry and Case Study Savings Interpretation
More related reading
04 · Category
Purchasing Options Savings (RI, SP, Savings Plans)30 stats
Purchasing Options Savings (RI, SP, Savings Plans) Interpretation
05 · Category
Rightsizing and Resource Optimization Savings29 stats
Rightsizing and Resource Optimization Savings Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
James Okoro. (2026, February 13). Cloud Cost Savings Statistics. Gitnux. https://gitnux.org/cloud-cost-savings-statistics
James Okoro. "Cloud Cost Savings Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/cloud-cost-savings-statistics.
James Okoro. 2026. "Cloud Cost Savings Statistics." Gitnux. https://gitnux.org/cloud-cost-savings-statistics.
Sources & references
46 datasets cited across this report · attribution is report-level

