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EU Digital Sovereignty Initiatives Propel GPUaaS Adoption in AI Transformation

globenewswire.com
AMZN AWS is mentioned as a key player in the EU GPUaaS market, indicating its involvement in providing cloud infrastructure for AI transformation and digital sovereignty initiatives. The article does not provide specific sentiment towards AWS's performance or prospects. MSFT Microsoft Azure is identified as a significant provider within the EU GPUaaS market, contributing to the region's AI transformation and digital sovereignty efforts. The article does not offer specific sentiment regarding Azure's performance or outlook. GOOGL Google Cloud is listed as a key participant in the EU GPUaaS market, supporting the region's AI transformation and digital sovereignty goals. The article does not express a specific sentiment about Google Cloud's market position or future. ORCL OCI is mentioned as a company profile within the EU GPUaaS market report, indicating its role in the AI transformation and digital sovereignty landscape. No specific sentiment or performance details are provided for Oracle Cloud Infrastructure. NVDA NVIDIA's GPUs (H100/B200, A100, L40S, RTX 6000 Ada, L4, T4, RTX 4090/3090) are explicitly mentioned as key components driving the growth of the EU GPUaaS market, indicating strong demand and a bullish outlook for the company's hardware in AI transformation. AMD AMD's MI300X/355X GPUs are highlighted as part of the high-end offerings in the EU GPUaaS market, suggesting a positive role and demand for their products in AI transformation and digital sovereignty initiatives.

EU Digital Sovereignty Initiatives Propel GPUaaS Adoption in AI Transformation Dublin, July 01, 2026 (GLOBE NEWSWIRE) -- The "EU GPUaaS Market - Size, Share, Trends, Growth Forecast, and Competitive Analysis (2025-2031)" has been added to ResearchAndMarkets.com's offering.

The European Union's GPU-as-a-Service (GPUaaS) market is emerging as a pivotal element in the region's drive for digital sovereignty and AI infrastructure development. Valued at USD 1.35 billion in 2024, the market is anticipated to soar to USD 7.88 billion by 2030, driven by increased generative AI deployments, sovereign cloud strategies, and a rising demand for secure GPU infrastructure. A projected 28-29% CAGR underlines the market's shift toward scalable, consumption-based services over costly on-premise solutions.

Key Growth Drivers:

Challenges in the Market:

Report Highlights:

Key Findings:

Key Topics Covered:

1. Introduction

1.1. Key Take Aways

1.2. Report Description

1.3. Markets Covered

1.4. Stakeholders

2. Research Methodology

2.1. Research Scope

2.2. Research Methodology

2.2.1. Market Research Process

2.2.2. Research Methodology

2.2.2.1. Secondary Research

2.2.2.2. Primary Research

2.2.2.3. Models for Estimation

2.3. Market Size Estimation

2.3.1. Bottom-Up Approach

2.3.2. Top-Down Approach

3. Executive Summary

4. Market Overview

4.1. Introduction

4.2. Market Drivers

4.3. Restraints & Challenges

4.4. Market Opportunities

4.5. Technology & Innovation Analysis

5. GPUaaS Market in EU By Pricing Model

5.1. Subscription- Based Plans

5.2. Pay-Per-Use (On Demand)

6. GPUaaS Market in EU By GPU Model Category

6.1. High-End Flagship (NVIDIA H100/B200, AMD MI300X/355X)

6.2. Enterprise Performance (NVIDIA A100, L40S, RTX 6000 Ada)

6.3. Mid-Range & Entry (NVIDIA L4, T4, RTX 4090/3090)

7. GPUaaS Market in EU By Service Model

7.1. IaaS (Instances, Bare Metal, Virtual GPUs)

7.2. PaaS (MLOps, Kubernetes, Training Platforms)

7.3. SaaS (AI APIs, Cloud Rendering, Game Streaming)

8. GPUaaS Market in EU By Organisation Size

8.1. Large Enterprises

8.2. SMEs & Startups

8.3. Government & Academic

9. GPUaaS Market in EU By Application

9.1. AI & Machine Learning

9.2. Gaming

9.3. IT & Telecommunications

9.4. Healthcare & Life Sciences

9.5. Media & Entertainment

9.6. BFSI

9.7. Manufacturing

9.8. Automotive

9.9. Others (Retail, Education)

10. GPUaaS Market in EU By Region

10.1. Key Points

10.2. United Kingdom (UK)

10.3. Germany

10.4. Netherlands

10.5. Nordics

10.6. France, Spain, Italy

11. Competitive Landscape

11.1. Introduction

11.2. Recent Developments

11.2.1. Mergers & Acquisitions

11.2.2. New Product Developments

11.2.3. Portfolio/Production CEUity Expansions

11.2.4. Joint Ventures, Collaborations, Partnerships & Agreements

12. Others

13. Company Profiles

13.1. CoreWeave

13.1.1. Company Overview

13.1.2. Product/Service Landscape

13.1.3. Financial Overview

13.1.4. Recent Developments

13.2. Amazon Web Services (AWS)

13.2.1. Company Overview

13.2.2. Product/Service Landscape

13.2.3. Financial Overview

13.2.4. Recent Developments

13.3. Microsoft Azure

13.3.1. Company Overview

13.3.2. Product/Service Landscape

13.3.3. Financial Overview

13.3.4. Recent Developments

13.4. Google Cloud

13.4.1. Company Overview

13.4.2. Product/Service Landscape

13.4.3. Financial Overview

13.4.4. Recent Developments

13.5. Oracle Cloud Infrastructure (OCI)

13.5.1. Company Overview

13.5.2. Product/Service Landscape

13.5.3. Financial Overview

13.5.4. Recent Developments

14. Technology and Innovation Trends

14.1. Next-Generation GPU Architectures and Performance Optimization

14.2. AI Accelerators and Specialized Chipsets (TPUs, NPUs, Custom ASICs)

14.3. Edge Computing and Distributed GPU Infrastructure

14.4. Quantum Computing Integration and Hybrid GPU-Quantum Systems

14.5. Multi-Cloud and Hybrid GPU Orchestration Platforms

15. Regulatory and Standards Framework

15.1. Data Privacy and Security Regulations (GDPR, CCPA, Regional Laws)

15.2. AI Ethics and Responsible AI Governance Standards

15.3. Export Controls and Technology Transfer Restrictions

15.4. Energy Efficiency and Environmental Sustainability Mandate

15.5. Intellectual Property and Patent Protection in GPU Technology

16. Macro-Economic Factors

16.1. Global AI Investment and Enterprise Digital Transformation

16.2. GPU Chip Supply Chain Dynamics and Semiconductor Availability

16.3. Government AI Strategies and National Competitiveness Initiatives

16.4. Cloud Infrastructure Spending and Hyperscale Expansion

16.5. Geopolitical Tensions and Technology Decoupling Trends

17. Market Opportunities and Future Outlook

17.1. 18.1 Generative AI and Large Language Model Training Demand

17.2. 18.2 Edge AI and IoT Applications Requiring Distributed GPU Resources

17.3. 18.3 Autonomous Systems and Real-Time Inference Workloads

17.4. 18.4 Emerging Markets and Regional GPUaaS Adoption

17.5. 18.5 Strategic Recommendations for Market Participants

18. Challenges and Risk Analysis

18.1. GPU Supply Constraints and Hardware Procurement Challenges

18.2. High Capital Expenditure and Infrastructure Investment Requirements

18.3. Intense Competition and Pricing Pressure Among Providers

18.4. Talent Shortage in AI/ML and GPU Infrastructure Management

18.5. Energy Consumption and Environmental Sustainability Concerns

19. Conclusion and Strategic Insights

19.1. Key Market Takeaways

19.2. Growth Trajectory Overview

19.3. Investment Attractiveness Assessment

19.4. Long-Term Market Outlook

20. Appendix

20.1. Glossary of Terms

20.2. Abbreviations

20.3. Additional Data Tables

Companies Featured

For more information about this report visit https://www.researchandmarkets.com/r/omrx9j

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