Neocloud providers will gain greater slice of AI cloud market by 2030

2026-06-23 · Source: Information and Enterprise Technology News | CIO Dive - Www.ciodive.com · Field: Technology & Digital — Cloud Computing & IT Infrastructure, Artificial Intelligence & Machine Learning · Depth: Fundamental Awareness, short

Summary

Gartner predicts that specialized "neocloud" providers will secure 20% of the \$267 billion AI cloud market by 2030, driven by enterprises seeking greater control over data storage and governance. This shift is fueled by accelerating compute demand for AI workloads and increasing regulatory concerns, such as data sovereignty requirements from GDPR and the EU AI Act. Neoclouds differentiate themselves with superior performance for AI workloads, flexible deployment models, robust data sovereignty commitments, and competitive pricing, positioning them as alternatives to traditional hyperscalers like AWS, Microsoft, and Google. Neocloud revenues surged to \$9 billion in Q4 2025, a 223% year-over-year increase, as demand for GPU compute outpaced hyperscaler capacity. Companies like Nebius and CoreWeave are forming significant partnerships, including CoreWeave's multiyear agreement with Anthropic and a \$21 billion deal with Meta.

Key takeaway

For AI Architects and CTOs evaluating cloud strategies, neocloud providers offer a compelling alternative to hyperscalers. You should prioritize hybrid architectures and assess neoclouds for high-performance AI workloads, especially when data sovereignty and regulatory compliance, such as GDPR or the EU AI Act, are critical. These specialized providers can offer more flexible access to GPU-intensive compute and stronger technical controls for data, enabling faster innovation while maintaining crucial governance.

Key insights

Neocloud providers are gaining AI cloud market share by offering specialized compute and data sovereignty solutions.

Principles

• Data sovereignty drives cloud choices.
• Specialized AI infrastructure outperforms general.
• Hybrid architectures enhance resilience.

In practice

• Evaluate neoclouds for AI workloads.
• Prioritize hybrid cloud architectures.
• Consider data sovereignty controls.

Topics

• AI Cloud Market
• Neocloud Providers
• Data Sovereignty
• GPU Compute
• Hybrid Cloud
• Regulatory Compliance

Best for: Investor, VP of Engineering/Data, Executive, Director of AI/ML, AI Architect, CTO

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Editorial summary, takeaway, and curation by AIssential. Original article published by Information and Enterprise Technology News | CIO Dive - Www.ciodive.com.