加速卡片市场 - 全球产业规模、份额、趋势、机会及预测（按处理器类型、加速器类型、应用、地区和竞争格局划分，2021-2031年）

全球加速卡市场预计将从 2025 年的 63.2 亿美元成长到 2031 年的 356.6 亿美元，复合年增长率达 33.43%。

这些专用硬体设备旨在减轻中央处理器 (CPU) 的负担，提高人工智慧 (AI)、资料分析、网路安全等复杂工作负载的整体系统效率和效能。该市场的成长主要受资料中心对大量运算能力的激增需求、机器学习应用的日益普及以及网路边缘对低延迟处理的需求所驱动。

儘管市场呈现上升趋势，但先进硬体的高电力消耗和高发热量仍为市场带来挑战，这通常需要对冷却基础设施进行昂贵的升级，并减缓在老旧设施中的部署速度。根据SEMI预测，到2024年，全球5奈米以下过程的尖端半导体产能预计将成长13%，这一成长主要受资料中心训练和推理中生成式人工智慧需求的推动。这项扩张凸显了现代加速器系统对先进逻辑电路的高度依赖。

市场驱动因素

人工智慧和机器学习工作负载的指数级增长是加速卡片市场的主要驱动力。现代神经网路需要远超传统CPU的平行处理能力。这就需要采用高吞吐量GPU和专用ASIC，尤其是在训练大规模语言模型时，运算速度就能带来明显的竞争优势。 NVIDIA于2024年8月发布的「2025财年第二季财务业绩」预测，其资料中心部门的营收将达到创纪录的263亿美元，年成长154%，这充分展现了硬体普及将带来的巨大规模经济效益。

同时，超大规模资料中心和云端基础设施的快速扩张，持续推动高密度运算模组的需求，以支援人工智慧服务（AIaaS）和高效能运算。云端服务供应商正在迅速扩展实体容量并整合加速卡，以优化机架密度和能源效率。根据微软于2024年7月发布的“2024财年第四季财务业绩”，用于支援云端和人工智慧服务的资本支出已达190亿美元。此外，AMD于2024年10月发布的「2024财年第三季财务业绩」预测，资料中心GPU营收将超过50亿美元，反映出加速器应用生态系统的不断扩展。

市场挑战

市场扩张的一大阻碍因素是加速卡片的高电力消耗和高散热需求。将这些设备集中用于高强度工作负载会产生大量热量，因此需要专用的冷却基础设施，这会给营运商带来巨大的成本，尤其是在那些并非为如此高密度功耗而设计的传统资料中心。因此，昂贵的结构维修需求常常会延误新硬体的采购和安装，直接阻碍这些高效能模组的普及。

电力消耗量不断增长的趋势反映了更广泛的工业能源模式，这使得部署策略变得更加复杂。根据国际能源总署 (IEA) 的数据，截至 2024 年，全球资料中心、人工智慧 (AI) 和加密货币产业的电力需求预计将在 2026 年达到约 1000兆瓦时，甚至可能翻倍。这项预期激增凸显了企业在扩展业务规模时面临的物流和财务障碍，因为电力供应和散热方面的实体限制实际上限制了企业部署更多加速卡的速度。

市场趋势

Compute Express Link (CXL) 技术的整合正在变革市场，它实现了处理器和记忆体设备之间的快取连贯互连。这种架构允许加速器独立于主机 CPU 存取共用记忆体池，从而消除记忆体瓶颈，优化大规模语言模型训练等资料密集型工作负载，并促进分散式运算模型的运作。根据三星电子 2025 年 11 月发布的题为「在 OCP 全球高峰会2025 上促进人工智慧时代的开放合作」的新闻稿，该公司展示了用于下一代 AI 伺服器的 CXL 记忆体模组，与传统配置相比，这些模组可将记忆体容量提高 50%，频宽提高高达 100%。

同时，随着超大规模营运商加速采用客製化晶片以最大限度地提高特定人工智慧任务的效率，领域特定架构 (DSA) 的趋势也日益明显。与通用 GPU 不同，这些客製化加速器透过消除不必要的逻辑并完全专注于专有神经网路所需的矩阵运算，显着降低了整体拥有成本。博通公司在 2025 年 9 月发布的第三财季财报中报告称，其人工智慧相关收入年增 63%。这一成长主要归功于为寻求替代标准市场产品的超大规模客户扩大客製化人工智慧加速器的量产规模。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 全球加速卡市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 依处理器类型（中央处理器 (CPU)、图形处理器 (GPU)、现场可程式闸阵列(FPGA)、专用积体电路 (ASIAC)）
  • 按加速器类型（高效能运算加速器、云端加速器）
  • 按应用领域（影像/影像处理、机器学习、数据分析、行动电话、其他）
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章 北美加速卡市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 我们
  • 加拿大
  • 墨西哥

第七章：欧洲加速卡市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太地区加速卡市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东和非洲加速卡市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

第十章：南美洲加速卡市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 司机
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 最新进展

第十三章 全球加速卡市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• NVIDIA Corporation
• Advanced Micro Devices, Inc.
• Intel Corporation
• Alphabet Inc.
• IBM Corporation
• Hewlett Packard Enterprise Development LP
• Dell Technologies Inc.
• Fujitsu Limited
• Cisco Systems, Inc.
• Huawei Technologies Co., Ltd

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global Accelerator Card Market is projected to expand from USD 6.32 Billion in 2025 to USD 35.66 Billion by 2031, registering a CAGR of 33.43%. These specialized hardware devices are engineered to relieve central processing units of intensive tasks, thereby enhancing overall system efficiency and performance for complex workloads like artificial intelligence, data analytics, and network security. The market is primarily propelled by the surging requirement for immense computational power within data centers, the widespread adoption of machine learning applications, and the necessity for low-latency processing at the network edge.

Despite this upward momentum, the market encounters hurdles related to the high power usage and heat generation of advanced hardware, often demanding expensive upgrades to cooling infrastructure which slows deployment in older facilities. According to SEMI, global leading-edge semiconductor capacity for nodes 5 nanometers and smaller was expected to grow by 13 percent in 2024, a surge largely attributed to generative AI demands for data center training and inference. This expansion underscores the heavy reliance on the advanced logic utilized in modern accelerator systems.

Market Driver

The exponential rise in AI and machine learning workloads serves as the primary catalyst for the accelerator card market, as modern neural networks demand parallel processing capabilities that far outstrip traditional CPU performance. This necessitates the deployment of high-throughput GPUs and specialized ASICs, particularly for training large language models where computational speed offers a distinct competitive advantage. According to NVIDIA, in its August 2024 report 'NVIDIA Announces Financial Results for Second Quarter Fiscal 2025', Data Center revenue hit a record 26.3 billion dollars, a 154 percent jump from the prior year, illustrating the massive financial scale of this hardware adoption.

Concurrently, the aggressive expansion of hyperscale data centers and cloud infrastructure drives a continuous need for dense computing modules to support AI-as-a-service and high-performance computing. Cloud providers are rapidly scaling their physical capacity, integrating accelerator cards to optimize rack density and energy efficiency. According to Microsoft's 'Fiscal Year 2024 Fourth Quarter Results' from July 2024, capital expenditures reached 19 billion dollars to support cloud and AI offerings, while AMD's 'Third Quarter 2024 Financial Results' in October 2024 projected data center GPU revenue to surpass 5 billion dollars, reflecting the broadening ecosystem of accelerator deployment.

Market Challenge

A significant restraint on market expansion arises from the substantial energy consumption and heat dissipation requirements of accelerator cards. Integrating these devices for intensive workloads results in significant thermal output, necessitating specialized cooling infrastructure that imposes steep costs on operators, particularly in legacy data centers not built for such high-density power usage. Consequently, the need for expensive structural retrofits frequently delays the procurement and installation of new hardware, directly impeding the adoption rate of these performance modules.

This trend of rising power intensity mirrors broader industrial energy patterns that complicate deployment strategies. According to the International Energy Agency, in 2024, global electricity demand from data centers, artificial intelligence, and the cryptocurrency sector was projected to potentially double by 2026 to reach roughly 1,000 terawatt-hours. This expected surge highlights the logistical and financial barriers companies face when scaling operations, as physical constraints regarding power delivery and thermal regulation effectively act as a practical ceiling on the speed at which organizations can deploy additional accelerator cards.

Market Trends

The integration of Compute Express Link (CXL) technology is transforming the market by enabling cache-coherent interconnects between processors and memory devices. This architecture addresses the memory wall bottleneck by permitting accelerators to access shared memory pools independent of the host CPU, thereby optimizing data-heavy workloads like large language model training and facilitating disaggregated computing models. According to Samsung Electronics, in the November 2025 'Samsung Highlights Open Collaboration for the AI Era at OCP Global Summit 2025' press release, the company showcased CXL memory modules that enable a 50 percent increase in memory capacity and up to a 100 percent improvement in bandwidth for next-generation AI servers compared to traditional configurations.

Simultaneously, there is a distinct shift towards Domain-Specific Architectures (DSAs) as hyperscale operators increasingly commission custom silicon to maximize efficiency for specific AI tasks. Unlike general-purpose GPUs, these bespoke accelerators strip away unnecessary logic to focus entirely on the matrix operations required by proprietary neural networks, significantly reducing total ownership costs. According to Broadcom, in the 'Third Quarter Fiscal Year 2025 Financial Results' from September 2025, the company reported a 63 percent year-over-year increase in AI revenue, a surge attributed primarily to the ramping production of custom AI accelerators for hyperscale customers seeking alternatives to standard market offerings.

Key Market Players

• NVIDIA Corporation
• Advanced Micro Devices, Inc.
• Intel Corporation
• Alphabet Inc.
• IBM Corporation
• Hewlett Packard Enterprise Development LP
• Dell Technologies Inc.
• Fujitsu Limited
• Cisco Systems, Inc.
• Huawei Technologies Co., Ltd

Report Scope

In this report, the Global Accelerator Card Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Accelerator Card Market, By Processor Type

• Central Processing Units (CPU)
• Graphics Processing Units (GPU)
• Field-Programmable Gate Arrays (FPGA)
• Application-specific Integrated Circuit (ASIAC)

Accelerator Card Market, By Accelerator Type

• High-performance Computing Accelerator
• Cloud Accelerator

Accelerator Card Market, By Application

• Video And Image Processing
• Machine Learning
• Data Analytics
• Mobile Phones
• Others

Accelerator Card Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Accelerator Card Market.

Available Customizations:

Global Accelerator Card Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Accelerator Card Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Processor Type (Central Processing Units (CPU), Graphics Processing Units (GPU), Field-Programmable Gate Arrays (FPGA), Application-specific Integrated Circuit (ASIAC))
  • 5.2.2. By Accelerator Type (High-performance Computing Accelerator, Cloud Accelerator)
  • 5.2.3. By Application (Video And Image Processing, Machine Learning, Data Analytics, Mobile Phones, Others)
  • 5.2.4. By Region
  • 5.2.5. By Company (2025)
• 5.3. Market Map

6. North America Accelerator Card Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Processor Type
  • 6.2.2. By Accelerator Type
  • 6.2.3. By Application
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Accelerator Card Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Processor Type
      • 6.3.1.2.2. By Accelerator Type
      • 6.3.1.2.3. By Application
  • 6.3.2. Canada Accelerator Card Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Processor Type
      • 6.3.2.2.2. By Accelerator Type
      • 6.3.2.2.3. By Application
  • 6.3.3. Mexico Accelerator Card Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Processor Type
      • 6.3.3.2.2. By Accelerator Type
      • 6.3.3.2.3. By Application

7. Europe Accelerator Card Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Processor Type
  • 7.2.2. By Accelerator Type
  • 7.2.3. By Application
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Accelerator Card Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Processor Type
      • 7.3.1.2.2. By Accelerator Type
      • 7.3.1.2.3. By Application
  • 7.3.2. France Accelerator Card Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Processor Type
      • 7.3.2.2.2. By Accelerator Type
      • 7.3.2.2.3. By Application
  • 7.3.3. United Kingdom Accelerator Card Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Processor Type
      • 7.3.3.2.2. By Accelerator Type
      • 7.3.3.2.3. By Application
  • 7.3.4. Italy Accelerator Card Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Processor Type
      • 7.3.4.2.2. By Accelerator Type
      • 7.3.4.2.3. By Application
  • 7.3.5. Spain Accelerator Card Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Processor Type
      • 7.3.5.2.2. By Accelerator Type
      • 7.3.5.2.3. By Application

8. Asia Pacific Accelerator Card Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Processor Type
  • 8.2.2. By Accelerator Type
  • 8.2.3. By Application
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Accelerator Card Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Processor Type
      • 8.3.1.2.2. By Accelerator Type
      • 8.3.1.2.3. By Application
  • 8.3.2. India Accelerator Card Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Processor Type
      • 8.3.2.2.2. By Accelerator Type
      • 8.3.2.2.3. By Application
  • 8.3.3. Japan Accelerator Card Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Processor Type
      • 8.3.3.2.2. By Accelerator Type
      • 8.3.3.2.3. By Application
  • 8.3.4. South Korea Accelerator Card Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Processor Type
      • 8.3.4.2.2. By Accelerator Type
      • 8.3.4.2.3. By Application
  • 8.3.5. Australia Accelerator Card Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Processor Type
      • 8.3.5.2.2. By Accelerator Type
      • 8.3.5.2.3. By Application

9. Middle East & Africa Accelerator Card Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Processor Type
  • 9.2.2. By Accelerator Type
  • 9.2.3. By Application
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Accelerator Card Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Processor Type
      • 9.3.1.2.2. By Accelerator Type
      • 9.3.1.2.3. By Application
  • 9.3.2. UAE Accelerator Card Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Processor Type
      • 9.3.2.2.2. By Accelerator Type
      • 9.3.2.2.3. By Application
  • 9.3.3. South Africa Accelerator Card Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Processor Type
      • 9.3.3.2.2. By Accelerator Type
      • 9.3.3.2.3. By Application

10. South America Accelerator Card Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Processor Type
  • 10.2.2. By Accelerator Type
  • 10.2.3. By Application
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Accelerator Card Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Processor Type
      • 10.3.1.2.2. By Accelerator Type
      • 10.3.1.2.3. By Application
  • 10.3.2. Colombia Accelerator Card Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Processor Type
      • 10.3.2.2.2. By Accelerator Type
      • 10.3.2.2.3. By Application
  • 10.3.3. Argentina Accelerator Card Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Processor Type
      • 10.3.3.2.2. By Accelerator Type
      • 10.3.3.2.3. By Application

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Accelerator Card Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. NVIDIA Corporation
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Advanced Micro Devices, Inc.
• 15.3. Intel Corporation
• 15.4. Alphabet Inc.
• 15.5. IBM Corporation
• 15.6. Hewlett Packard Enterprise Development LP
• 15.7. Dell Technologies Inc.
• 15.8. Fujitsu Limited
• 15.9. Cisco Systems, Inc.
• 15.10. Huawei Technologies Co., Ltd

16. Strategic Recommendations

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