Actionable Benefits
- Plan capacity strategies with confidence by understanding how training and inference capacity will grow over time.
- Align Artificial Intelligence (AI) investments with clear visibility into workload growth patterns and inflection points.
- Anticipate regional dynamics that will shape infrastructure procurement over time.
Research Highlights
- Comprehensive analysis of operator segments: Tier One and Tier Two hyperscalers, neocloud providers, and sovereign clouds.
- Detailed research into growth trajectories and inflection points—including when inference workloads will overtake training workloads.
- A detailed forecast of AI inference workloads in the cloud up to 2035.
Critical Questions Answered
- When will inference surpass training as the dominant capacity consumer in the cloud?
- Which types of inference workloads will be consuming the most capacity in the cloud?
- How will the inference-training inflection point differ by region?
Who Should Read This?
- Cloud and data center strategy leaders looking to optimize their procurement and investment roadmaps.
- Infrastructure developers and ecosystem partners aiming to anticipate regional trends.
- AI compute leaders looking to refine their roadmaps and strategies.
Related Insights
AI Data Center Semiconductor Market Consolidation: Intel Considers Snapping up Challenger SambaNova Systems
Insight | 4Q 2025 | IN-8015
The Battle for AI Inference Stack Control Intensifies as Independent Platforms Consolidate
Insight | 1Q 2026 | IN-8059
Related Research
Federated, Distributed and Few-Shot Learning: From Servers to Devices
Report | 2Q 2022 | AN-4952
Artificial Intelligence & Machine Learning: Cloud AI Market Data Overview: 3Q 2025
Presentation | 3Q 2025 | PT-3884
DeepSeek’s AI Market Turmoil: Froth or Fundamental?
Presentation | 1Q 2025 | PT-3647