AI Infrastructure Market Map 2026: From Compute to Deployment
A comprehensive mapping of 180+ companies across the AI infrastructure stack — compute, training, inference, vector databases, observability, and governance.
James Okafor
Infrastructure Analyst
In this report
Executive Summary
This report maps 180+ companies across 8 layers of the AI infrastructure stack. The market reached $89B in 2025 and is projected to exceed $145B by end of 2026.
Market Map Layers
1. Compute & Hardware
Leaders: NVIDIA (~82% share), AMD, Google TPU, AWS Trainium. H100/H200 lead times normalized to 8–12 weeks.
2. Training Platforms
Leaders: AWS SageMaker, Google Vertex AI, Azure ML, Weights & Biases, Modal.
3. Inference & Deployment
Leaders: Together AI, Fireworks AI, Replicate, AWS Bedrock, Groq. Groq delivers sub-200ms latency.
4. Vector Databases
Leaders: Pinecone, Weaviate, Chroma, Qdrant, pgvector. pgvector's PostgreSQL integration is making purpose-built vector DBs less compelling.
5. Observability
Leaders: LangSmith, Arize AI, Helicone, Braintrust, Humanloop. Fastest-growing infrastructure category after inference optimization.
James Okafor
Infrastructure Analyst
Ex-AWS solutions architect with 12 years in cloud infrastructure. Covers AI compute, deployment platforms, and MLOps tooling.
Get the Full Dataset
Subscribe for access to our complete research data, methodology documentation, and weekly intelligence briefings.
Subscribe to Aldric Research