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Mapping the Neocloud Market Landscape: Definitions, Technology Characteristics & Business Models

Price: Starting at USD 1,950
Publish Date: 23 Jun 2025
Code: AN-6465
Research Type: Report
Pages: 11
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Actionable Benefits

Actionable Benefits

  • Assess the strategic relevance of neocloud providers across Artificial Intelligence (AI) infrastructure value chains.
  • Identify which neocloud segments (e.g., Graphics Processing Unit-as-a-Service (GPUaaS), full-stack, sovereign) align with your organization’s AI deployment priorities.
  • Guide investment decisions and partnership strategies in a fragmented AI cloud landscape.
  • Benchmark hyperscaler versus neocloud capabilities in performance, compliance, and vertical fit.
Research Highlights

Research Highlights

  • ?A detailed market forecast for GPUaaS revenue through 2030.
  • Comprehensive segmentation of neocloud providers by workload focus, deployment model, and revenue structure.
  • Strategic framework for evaluating neocloud success based on five critical levers (e.g., GPU access, ecosystem depth, vertical specialization, etc.).
  • Unified comparison tables covering technology differentiators, Go-to-Market (GTM) strategies, and business models.
  • Forward-looking scenarios on how neoclouds will evolve in response to regulatory shifts, hyperscaler responses, and specialized AI workload growth.
Critical Questions Answered

Critical Questions Answered

  • How large is the GPUaaS revenue opportunity through 2030, and which neocloud segments are best positioned to capture it?
  • What are the defining differences between neocloud provider types in technology and business models?
  • Which use cases and workloads are best suited for GPUaaS, sovereign, or vertically integrated platforms?
  • How sustainable are neocloud models given Graphics Processing Unit (GPU) supply constraints and hyperscaler competition?
  • What factors will determine long-term success for neocloud providers in AI infrastructure markets?
Who Should Read This?

Who Should Read This?

  • Cloud strategy leads, Chief Technology Officers (CTOs), and infrastructure planners at AI-native startups, enterprises, and research labs.
  • Investors and corporate development teams evaluating neocloud partnerships or acquisition targets.
  • Technology policymakers and government agencies assessing sovereign AI infrastructure strategies.
  • Product leaders at chipmakers, Independent Software Vendors (ISVs), and integrators seeking alignment with next-gen AI cloud ecosystems.

Table of Contents

1. KEY FINDINGS

2. KEY FORECASTS

3. KEY COMPANIES AND ECOSYSTEMS

4. DEFINING DIFFERENT TYPES OF NEOCLOUD PROVIDERS

5. KEY DIFFERENTIATORS AMONG NEOCLOUD PROVIDERS

5.1. TECHNOLOGY DIFFERENTIATORS
5.2. BUSINESS DIFFERENTIATORS

6. STRATEGIC OUTLOOK: THE ROLE AND TRAJECTORY OF NEOCLOUD PROVIDERS