The Cloud Commitment Benchmark Data Enterprises Use to Negotiate
Every hyperscaler, AWS, Azure, and Google Cloud, operates a commitment discount program with almost no published pricing. AWS Enterprise Discount Program (EDP), Azure Microsoft Azure Consumption Commitment (MACC), and GCP Committed Use Discounts (CUD) are all structured to give each enterprise the minimum discount the market will bear. Without peer benchmark data, you are negotiating blind.
The Cloud Infrastructure Pricing Index is built from real enterprise cloud commitment contracts submitted to VendorBenchmark's platform under NDA. It shows, by commitment tier and industry sector, exactly what discount percentages enterprises are achieving, and where the achievable range actually is for your spend level.
If your board has asked whether your cloud commitment is optimized, or if your IT sourcing team is preparing for an AWS, Azure, or GCP renewal, this is the primary data source you need before entering negotiations.
Hyperscalers covered in depth
Report Contents
- Executive Summary: 4 cloud pricing insights for enterprise FinOps leaders in 2026
- AWS Enterprise Discount Program (EDP): Discount ranges by commitment tier, duration, and industry, P25, median, P75 data
- Azure MACC Structure and Pricing: How Microsoft prices MACCs vs. EAs, and where Azure is discounting more aggressively than AWS
- Google Cloud CUD and CUDS Benchmarks: GCP's commitment discount framework and achievable enterprise ranges by workload type
- Hyperscaler Comparison: Side-by-side benchmarks for equivalent commitment tiers across AWS, Azure, and GCP
- Commitment Structure Analysis: Term length, flexibility provisions, and cancellation clauses in real enterprise agreements
- Reserved vs. Savings Plans vs. Committed Use: Which structure delivers highest effective discount at different spend levels
- Cloud Commitment Negotiation Tactics: What the data reveals about how enterprises get to top-quartile discounts
- FinOps Integration: How benchmark data fits into ongoing cloud cost optimization programs
- Methodology and Data Quality Notes
Teaser: What the Cloud Pricing Data Shows
Here are three findings that illustrate why enterprises with cloud commitments need this data before their next renewal window:
AWS EDP discounts have a 3x range for enterprises spending $5 to 25M annually. The difference between a poorly negotiated EDP and a well-negotiated one at the same spend level is routinely 15 to 20 percentage points, entirely determined by negotiation strategy and benchmark awareness, not AWS's inherent pricing flexibility.
Azure is discounting more aggressively than AWS for enterprises that credibly position Azure as a secondary or alternative platform. MACC discounts for Azure in competitive evaluation scenarios are running 8 to 12 points above the market median. Microsoft's cloud market share ambition is creating real commercial concessions for buyers who know how to position the competitive threat.
GCP commitment discounts vary by workload more than any other hyperscaler. AI/ML workload commitments (Vertex AI, BigQuery ML, TPU allocations) are achieving 25 to 40% effective discounts at enterprise scale, significantly above GCP's general compute benchmark. The workload composition of your GCP commitment matters as much as the total dollar amount.
Benchmark Preview: Cloud Commitment Discount Ranges
The following data is drawn from our report's summary table, showing median and achievable discount ranges by provider and commitment tier. Full percentile data (P10, P25, median, P75, P90) by industry and contract term is available in the full report.
| Provider | Program | Commitment Tier | Median Discount | Top-Quartile Range |
|---|---|---|---|---|
| AWS | EDP | $1M to $5M annually | 8% | 12% to 18% |
| AWS | EDP | $5M to $25M annually | 16% | 22% to 32% |
| AWS | EDP | $25M+ annually | 24% | 30% to 45% |
| Azure | MACC | $1M to $5M annually | 10% | 14% to 22% |
| Azure | MACC | $5M to $25M annually | 19% | 25% to 35% |
| Azure | MACC | $25M+ annually | 28% | 34% to 48% |
| GCP | CUD / CUDS | $1M to $5M annually | 9% | 13% to 20% |
| GCP | CUD / CUDS | $5M to $25M annually | 17% | 23% to 34% |
Note: Discount ranges reflect effective discounts against cloud provider list pricing as of Q4 2025, Q1 2026 contract data. Industry-sector breakdowns and full percentile distributions are in the full report.
Who Uses This Report
The Cloud Infrastructure Pricing Index is used by enterprise FinOps leads, cloud architects, IT sourcing directors, and CFOs managing significant cloud commitments. It is particularly valuable at three points in the cloud commitment lifecycle: before an initial EDP/MACC/CUD negotiation, 6 to 12 months before renewal, and during competitive re-evaluation when a new hyperscaler is being considered as an alternative.
PE operating partners use the report as a standard due diligence tool when assessing portfolio company cloud costs. It is increasingly used alongside VendorBenchmark's commitment optimization use case, see our Cloud Commitment Optimization use case guide for how the benchmark data integrates into an end-to-end optimization program.
Related Resources
For enterprise teams managing AWS specifically, see the AWS Pricing Benchmark profile for detailed EDP structure analysis. For Azure commitment optimization, the Azure Pricing Benchmark profile covers MACC vs. EA economics in depth. Google Cloud teams should review the Google Cloud Pricing Benchmark profile for CUD and Committed Use discount analysis.
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