LLMOps & AI Infrastructure
Big 5 hyperscaler capex revised up to ~$725B for 2026 (~64% above 2025). 75% of spend directly on AI infrastructure.
Growth Overview
12-Month Trend
Growth Rate
Market Size Projection
Overview
The tooling layer for building, deploying, and operating LLM-powered applications. Covers prompt management, model evaluation, cost optimization, hallucination detection, and observability. The Big 5 (Microsoft, Alphabet, Amazon, Meta, Oracle) capex for 2026 was revised up to roughly $725B through the year, about 64% above 2025 levels. Amazon leads at $200B, Alphabet at $175-185B, Meta at $115-135B, Microsoft at $120B+, and Oracle at $50B. Roughly 75% ($450B) is directly tied to AI infrastructure. Hyperscalers are increasingly using debt markets to bridge capex and free cash flow gaps.
What's Driving This Growth?
- ▸Big 5 hyperscaler capex revised up to ~$725B for 2026 through the year, ~64% above 2025 levels
- ▸75% ($450B) of hyperscaler capex directly tied to AI infrastructure (GPUs, servers, data centers)
- ▸EU AI Act transparency and GPAI enforcement live since August 2, 2026 demand audit trails and eval documentation
- ▸Hyperscalers now tapping debt markets to bridge rising capex above projected cash flows
Market Signals
- ✓Amazon leading at $200B capex, Alphabet $175-185B, Meta $115-135B, Microsoft $120B+, Oracle $50B for 2026
- ✓AI data center market at $147B in 2025, projected to reach $811B by 2033 at 23.9% CAGR (Grand View Research)
- ✓Data center liquid cooling market growing from $6.6B to $38.4B by 2033 at 28.7% CAGR as AI rack density surges
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