데이터센터 액셀러레이터 시장 규모, 점유율, 성장, 세계 업계 분석, 지역별 동향 및 예측(2026-2034년)

Growth Factors of data center accelerator Market

The global data center accelerator market was valued at USD 29.38 billion in 2025 and is expected to grow from USD 37.92 billion in 2026 to USD 249.10 billion by 2034, registering a robust CAGR of 26.53% during the forecast period (2026-2034). The rapid adoption of artificial intelligence (AI), machine learning (ML), cloud computing, and high-performance computing (HPC) applications is driving demand for specialized accelerator hardware such as GPUs, ASICs, FPGAs, and DPUs. Asia Pacific dominated the global market with a 41.37% market share in 2025, supported by significant investments in hyperscale data centers and AI infrastructure.

Data center accelerators are specialized processors designed to handle computationally intensive workloads more efficiently than traditional CPUs. They are increasingly deployed across cloud environments, enterprise data centers, and hyperscale facilities to accelerate AI model training, inference, analytics, and scientific computing. As businesses continue their digital transformation initiatives and AI adoption accelerates worldwide, the need for high-performance and energy-efficient computing infrastructure continues to rise.

Market Drivers

The increasing adoption of generative AI, large language models (LLMs), and high-performance computing applications is the primary factor fueling market expansion. AI workloads require massive parallel processing capabilities, making GPUs and AI accelerators indispensable for modern data centers. Additionally, scientific research, autonomous technologies, financial modeling, and real-time analytics continue to generate demand for advanced accelerator hardware. Cloud service providers and hyperscalers are investing heavily in AI-enabled infrastructure, further strengthening market growth.

Market Restraints

Despite strong growth prospects, the market faces challenges due to the high acquisition cost and substantial power consumption associated with advanced accelerators. GPUs, ASICs, and FPGAs require significant capital investments and sophisticated cooling infrastructure, increasing operational expenses for data center operators. Rising electricity prices and sustainability concerns also present challenges, particularly for smaller organizations with limited budgets.

Market Opportunities

Growing investments in cloud AI infrastructure and edge computing present significant opportunities for the market. Enterprises increasingly rely on cloud-based AI services, while edge AI deployments require compact, low-latency accelerator solutions capable of processing data locally. This trend encourages hardware vendors to develop customized accelerator architectures optimized for both centralized cloud data centers and decentralized edge environments. Increasing government investments in digital infrastructure and AI ecosystems further create long-term growth opportunities.

Market Trends

A key trend transforming the industry is the development of AI-optimized data centers. Traditional CPU-based architectures are being replaced with specialized accelerator-driven infrastructure designed specifically for AI training and inference. Cloud providers and enterprises are deploying GPUs, TPUs, ASICs, and advanced networking technologies to improve computing efficiency, reduce latency, and support increasingly complex AI workloads. Continuous innovation in chip architecture and memory bandwidth is further accelerating adoption across industries.

Segmentation Analysis

By accelerator type, the GPU segment is expected to dominate the market with a 69.22% share in 2026, owing to its superior parallel processing capabilities, software ecosystem, and widespread adoption across AI and HPC applications. ASIC accelerators are projected to witness the fastest growth due to their application-specific optimization and superior power efficiency.

Based on deployment, the cloud segment is projected to account for 75.12% of the global market in 2026, driven by increasing demand for scalable AI infrastructure and cloud-based computing services. On-premise deployments continue to maintain a significant share among organizations requiring enhanced security and regulatory compliance.

By end user, Hyperscalers and Cloud Service Providers (CSPs) are expected to dominate with a 70.02% market share in 2026, supported by continuous investments in AI infrastructure and large-scale cloud expansion. Enterprise adoption is also increasing steadily as organizations deploy accelerators for analytics, automation, and business intelligence applications.

Regional Analysis

Asia Pacific led the global market with a valuation of USD 12.16 billion in 2025 and is projected to reach USD 15.83 billion in 2026. The region benefits from rapid cloud adoption, expanding hyperscale data centers, and increasing AI investments across China, Japan, India, and other emerging economies.

North America accounted for USD 8.77 billion in 2025 and is expected to reach USD 11.34 billion in 2026, driven by strong investments from hyperscalers, widespread AI deployment, and the presence of leading semiconductor companies. Europe generated USD 5.72 billion in 2025 and is forecast to reach USD 7.34 billion in 2026, supported by digital transformation initiatives and growing enterprise adoption of accelerated computing technologies. Latin America and the Middle East & Africa are also experiencing gradual growth through increasing investments in cloud infrastructure, digital transformation, and AI-enabled applications.

Competitive Landscape

The global data center accelerator market is highly competitive, with leading companies focusing on research and development, AI chip innovation, strategic collaborations, and customized accelerator architectures. Major market participants include NVIDIA Corporation, Advanced Micro Devices (AMD), Intel Corporation, Google LLC, Amazon Web Services (AWS), Microsoft Corporation, Huawei Technologies, Cerebras Systems, SambaNova Systems, and Graphcore. Continuous investments in next-generation AI processors, cloud partnerships, and high-performance computing solutions remain central to their growth strategies.

Key Industry Developments

Recent industry developments highlight the rapid pace of innovation. In November 2025, Google announced plans to deploy TPU AI chips into space through Project Suncatcher. In October 2025, Qualcomm introduced its AI200 and AI250 accelerator platforms designed for efficient generative AI inference. In June 2025, Amazon committed USD 12.9 billion toward expanding AI-ready data center infrastructure in Australia through 2029. In February 2025, AMD launched its Instinct MI325X accelerator featuring 256GB HBM3e memory and improved AI inference performance. These developments demonstrate the industry's continued focus on expanding AI computing capabilities.

Conclusion

The global data center accelerator market is entering a period of exceptional expansion as AI, machine learning, cloud computing, and high-performance computing become essential across industries. Rising investments in hyperscale infrastructure, AI-optimized data centers, and advanced accelerator technologies are expected to drive sustained market growth. With the market projected to increase from USD 37.92 billion in 2026 to USD 249.10 billion by 2034, supported by a 26.53% CAGR, the industry is poised to play a critical role in powering the next generation of digital transformation, intelligent computing, and enterprise AI applications.

Segmentation By Accelerator Type

• GPU
• ASIC
• FPGA
• DPU/IPU/SmartNIC
• Others (NPUs, etc.)

By Deployment

• Cloud
• On-premise
• Hybrid

By End User

• Hyperscalers/CSPs
• Colocation Providers
• Enterprises

By Region

• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • U.K.
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Benelux
  • Nordics
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • ASEAN
  • Oceania
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Rest of South America
• Middle East & Africa
  • GCC
  • South Africa
  • Rest of the Middle East & Africa

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities, and Trends

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global Data Center Accelerator Key Players (Top 3 - 5) Market Share/Ranking, 2025

5. Global Data Center Accelerator Market Size Estimates and Forecasts, By Segments, 2021-2034

• 5.1. Key Findings
• 5.2. By Accelerator Type (USD)
  • 5.2.1. GPU
  • 5.2.2. ASIC
  • 5.2.3. FPGA
  • 5.2.4. DPU/IPU/SmartNIC
  • 5.2.5. Others (NPUs, etc.)
• 5.3. By Deployment (USD)
  • 5.3.1. Cloud
  • 5.3.2. On-premise
  • 5.3.3. Hybrid
• 5.4. By End-user (USD)
  • 5.4.1. Hyperscalers/CSPs
  • 5.4.2. Colocation Providers
  • 5.4.3. Enterprises
• 5.5. By Region (USD)
  • 5.5.1. North America
  • 5.5.2. South America
  • 5.5.3. Europe
  • 5.5.4. Middle East & Africa
  • 5.5.5. Asia Pacific

6. North America Data Center Accelerator Market Size Estimates and Forecasts, By Segments, 2021-2034

• 6.1. Key Findings
• 6.2. By Accelerator Type (USD)
  • 6.2.1. GPU
  • 6.2.2. ASIC
  • 6.2.3. FPGA
  • 6.2.4. DPU/IPU/SmartNIC
  • 6.2.5. Others (NPUs, etc.)
• 6.3. By Deployment (USD)
  • 6.3.1. Cloud
  • 6.3.2. On-premise
  • 6.3.3. Hybrid
• 6.4. By End-user (USD)
  • 6.4.1. Hyperscalers/CSPs
  • 6.4.2. Colocation Providers
  • 6.4.3. Enterprises
• 6.5. By Country (USD)
  • 6.5.1. U.S.
    • 6.5.1.1. By End-user
  • 6.5.2. Canada
    • 6.5.2.1. By End-user
  • 6.5.3. Mexico
    • 6.5.3.1. By End-user

7. South America Data Center Accelerator Market Size Estimates and Forecasts, By Segments, 2021-2034

• 7.1. Key Findings
• 7.2. By Accelerator Type (USD)
  • 7.2.1. GPU
  • 7.2.2. ASIC
  • 7.2.3. FPGA
  • 7.2.4. DPU/IPU/SmartNIC
  • 7.2.5. Others (NPUs, etc.)
• 7.3. By Deployment (USD)
  • 7.3.1. Cloud
  • 7.3.2. On-premise
  • 7.3.3. Hybrid
• 7.4. By End-user (USD)
  • 7.4.1. Hyperscalers/CSPs
  • 7.4.2. Colocation Providers
  • 7.4.3. Enterprises
• 7.5. By Country (USD)
  • 7.5.1. Brazil
    • 7.5.1.1. By End-user
  • 7.5.2. Argentina
    • 7.5.2.1. By End-user
  • 7.5.3. Rest of South America

8. Europe Data Center Accelerator Market Size Estimates and Forecasts, By Segments, 2021-2034

• 8.1. Key Findings
• 8.2. By Accelerator Type (USD)
  • 8.2.1. GPU
  • 8.2.2. ASIC
  • 8.2.3. FPGA
  • 8.2.4. DPU/IPU/SmartNIC
  • 8.2.5. Others (NPUs, etc.)
• 8.3. By Deployment (USD)
  • 8.3.1. Cloud
  • 8.3.2. On-premise
  • 8.3.3. Hybrid
• 8.4. By End-user (USD)
  • 8.4.1. Hyperscalers/CSPs
  • 8.4.2. Colocation Providers
  • 8.4.3. Enterprises
• 8.5. By Country (USD)
  • 8.5.1. U.K.
    • 8.5.1.1. By End-user
  • 8.5.2. Germany
    • 8.5.2.1. By End-user
  • 8.5.3. France
    • 8.5.3.1. By End-user
  • 8.5.4. Italy
    • 8.5.4.1. By End-user
  • 8.5.5. Spain
    • 8.5.5.1. By End-user
  • 8.5.6. Russia
    • 8.5.6.1. By End-user
  • 8.5.7. Benelux
    • 8.5.7.1. By End-user
  • 8.5.8. Nordics
    • 8.5.8.1. By End-user
  • 8.5.9. Rest of Europe

9. Middle East & Africa Data Center Accelerator Market Size Estimates and Forecasts, By Segments, 2021-2034

• 9.1. Key Findings
• 9.2. By Accelerator Type (USD)
  • 9.2.1. GPU
  • 9.2.2. ASIC
  • 9.2.3. FPGA
  • 9.2.4. DPU/IPU/SmartNIC
  • 9.2.5. Others (NPUs, etc.)
• 9.3. By Deployment (USD)
  • 9.3.1. Cloud
  • 9.3.2. On-premise
  • 9.3.3. Hybrid
• 9.4. By End-user (USD)
  • 9.4.1. Hyperscalers/CSPs
  • 9.4.2. Colocation Providers
  • 9.4.3. Enterprises
• 9.5. By Country (USD)
  • 9.5.1. Turkey
    • 9.5.1.1. By End-user
  • 9.5.2. Israel
    • 9.5.2.1. By End-user
  • 9.5.3. GCC
    • 9.5.3.1. By End-user
  • 9.5.4. North Africa
    • 9.5.4.1. By End-user
  • 9.5.5. South Africa
    • 9.5.5.1. By End-user
  • 9.5.6. Rest of the Middle East & Africa

10. Asia Pacific Data Center Accelerator Market Size Estimates and Forecasts, By Segments, 2021-2034

• 10.1. Key Findings
• 10.2. By Accelerator Type (USD)
  • 10.2.1. GPU
  • 10.2.2. ASIC
  • 10.2.3. FPGA
  • 10.2.4. DPU/IPU/SmartNIC
  • 10.2.5. Others (NPUs, etc.)
• 10.3. By Deployment (USD)
  • 10.3.1. Cloud
  • 10.3.2. On-premise
  • 10.3.3. Hybrid
• 10.4. By End-user (USD)
  • 10.4.1. Hyperscalers/CSPs
  • 10.4.2. Colocation Providers
  • 10.4.3. Enterprises
• 10.5. By Country (USD)
  • 10.5.1. China
    • 10.5.1.1. By End-user
  • 10.5.2. India
    • 10.5.2.1. By End-user
  • 10.5.3. Japan
    • 10.5.3.1. By End-user
  • 10.5.4. South Korea
    • 10.5.4.1. By End-user
  • 10.5.5. ASEAN
    • 10.5.5.1. By End-user
  • 10.5.6. Oceania
    • 10.5.6.1. By End-user
  • 10.5.7. Rest of Asia Pacific

11. Company Profiles for Top 10 Players (Based on data availability in the public domain and/or on paid databases)

• 11.1. NVIDIA Corporation
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Past and Current Revenue
    • 11.1.2.3. Geographical Share
    • 11.1.2.4. Business Segment Share
    • 11.1.2.5. Recent Developments
• 11.2. Advanced Micro Devices, Inc.
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Past and Current Revenue
    • 11.2.2.3. Geographical Share
    • 11.2.2.4. Business Segment Share
    • 11.2.2.5. Recent Developments
• 11.3. Intel Corporation
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Past and Current Revenue
    • 11.3.2.3. Geographical Share
    • 11.3.2.4. Business Segment Share
    • 11.3.2.5. Recent Developments
• 11.4. Google LLC
  • 11.4.1. Overview
    • 11.4.1.1. Key Management
    • 11.4.1.2. Headquarters
    • 11.4.1.3. Offerings/Business Segments
  • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.4.2.1. Employee Size
    • 11.4.2.2. Past and Current Revenue
    • 11.4.2.3. Geographical Share
    • 11.4.2.4. Business Segment Share
    • 11.4.2.5. Recent Developments
• 11.5. Amazon Web Services, Inc.
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. Microsoft Corporation
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. Huawei Technologies Co., Ltd.
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. Cerebras Systems, Inc.
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Past and Current Revenue
    • 11.8.2.3. Geographical Share
    • 11.8.2.4. Business Segment Share
    • 11.8.2.5. Recent Developments
• 11.9. SambaNova Systems, Inc.
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Past and Current Revenue
    • 11.9.2.3. Geographical Share
    • 11.9.2.4. Business Segment Share
    • 11.9.2.5. Recent Developments
• 11.10. Graphcore Ltd.
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Past and Current Revenue
    • 11.10.2.3. Geographical Share
    • 11.10.2.4. Business Segment Share
    • 11.10.2.5. Recent Developments

12. Key Takeaways