加速卡片市場 - 全球產業規模、佔有率、趨勢、機會及預測（按處理器類型、加速器類型、應用、地區和競爭格局分類，2021-2031年）

全球加速卡市場預計將從 2025 年的 63.2 億美元成長到 2031 年的 356.6 億美元，複合年成長率達 33.43%。

這些專用硬體設備旨在減輕中央處理器 (CPU) 的負擔，提高人工智慧 (AI)、資料分析、網路安全等複雜工作負載的整體系統效率和效能。該市場的成長主要受資料中心對大量運算能力的激增需求、機器學習應用的日益普及以及網路邊緣對低延遲處理的需求所驅動。

儘管市場呈現上升趨勢，但先進硬體的高電力消耗和高發熱量仍為市場帶來挑戰，這通常需要對冷卻基礎設施進行昂貴的升級，並減緩在老舊設施中的部署速度。根據SEMI預測，到2024年，全球5奈米以下過程的尖端半導體產能預計將成長13%，這一成長主要受資料中心訓練和推理中生成式人工智慧需求的推動。這項擴張凸顯了現代加速器系統對先進邏輯電路的高度依賴。

市場促進因素

人工智慧和機器學習工作負載的指數級成長是加速卡片市場的主要驅動力。現代神經網路需要遠超傳統CPU的平行處理能力。這就需要採用高吞吐量GPU和專用ASIC，尤其是在訓練大規模語言模型時，運算速度就能帶來明顯的競爭優勢。 NVIDIA於2024年8月發布的「2025會計年度第二季財務業績」預測，其資料中心部門的營收將達到創紀錄的263億美元，年成長154%，這充分展現了硬體普及將帶來的巨大規模經濟效益。

同時，超大規模資料中心和雲端基礎設施的快速擴張，持續推動高密度運算模組的需求，以支援人工智慧服務（AIaaS）和高效能運算。雲端服務供應商正在迅速擴展實體容量並整合加速卡，以最佳化機架密度和能源效率。根據微軟於2024年7月發布的“2024會計年度第四季財務業績”，用於支援雲端和人工智慧服務的資本支出已達190億美元。此外，AMD於2024年10月發布的「2024會計年度第三季財務業績」預測，資料中心GPU營收將超過50億美元，反映出加速器應用生態系統的不斷擴展。

市場挑戰

市場擴張的一大阻礙因素是加速卡片的高電力消耗和高散熱需求。將這些設備集中用於高強度工作負載會產生大量熱量，因此需要專用的冷卻基礎設施，這會給營運商帶來巨大的成本，尤其是在那些並非為如此高密度功耗而設計的傳統資料中心。因此，昂貴的結構維修需求常常會延誤新硬體的採購和安裝，直接阻礙這些高效能模組的普及。

電力消耗量不斷成長的趨勢反映了更廣泛的工業能源模式，這使得部署策略變得更加複雜。根據國際能源總署 (IEA) 的數據，截至 2024 年，全球資料中心、人工智慧 (AI) 和加密貨幣產業的電力需求預計將在 2026 年達到約 1000兆瓦時，甚至可能翻倍。這項預期激增凸顯了企業在擴展業務規模時面臨的物流和財務障礙，因為電力供應和散熱方面的實體限制實際上限制了企業部署更多加速卡的速度。

市場趨勢

Compute Express Link (CXL) 技術的整合正在變革市場，它實現了處理器和記憶體設備之間的快取連貫互連。這種架構允許加速器獨立於主機 CPU 存取共用記憶體池，從而消除記憶體瓶頸，最佳化大規模語言模型訓練等資料密集型工作負載，並促進分散式運算模型的運作。根據三星電子 2025 年 11 月發布的題為「在 OCP 全球高峰會2025 上促進人工智慧時代的開放合作」的新聞稿，該公司展示了用於下一代 AI 伺服器的 CXL 記憶體模組，與傳統配置相比，這些模組可將記憶體容量提高 50%，頻寬提高高達 100%。

同時，隨著超大規模營運商加速採用客製化晶片以最大限度地提高特定人工智慧任務的效率，領域特定架構 (DSA) 的趨勢也日益明顯。與通用 GPU 不同，這些客製化加速器透過消除不必要的邏輯並完全專注於專有神經網路所需的矩陣運算，顯著降低了整體擁有成本。博通公司在 2025 年 9 月發布的第三財季財報中報告稱，其人工智慧相關收入年增 63%。這一成長主要歸功於為尋求替代標準市場產品的超大規模客戶擴大客製化人工智慧加速器的量產規模。

目錄

第1章概述

第2章調查方法

第3章執行摘要

第4章：客戶評價

第5章 全球加速卡市場展望

• 市場規模及預測
  • 按金額
• 市佔率及預測
  • 依處理器類型（中央處理器 (CPU)、圖形處理器 (GPU)、現場可程式閘陣列(FPGA)、專用積體電路 (ASIAC)）
  • 按加速器類型（高效能運算加速器、雲端加速器）
  • 按應用領域（影像/影像處理、機器學習、數據分析、行動電話、其他）
  • 按地區
  • 按公司（2025 年）
• 市場地圖

第6章 北美加速卡市場展望

• 市場規模及預測
• 市佔率及預測
• 北美洲：國家分析
  • 美國
  • 加拿大
  • 墨西哥

第7章：歐洲加速卡市場展望

• 市場規模及預測
• 市佔率及預測
• 歐洲：國家分析
  • 德國
  • 法國
  • 英國
  • 義大利
  • 西班牙

第8章：亞太地區加速卡市場展望

• 市場規模及預測
• 市佔率及預測
• 亞太地區：國家分析
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳洲

第9章：中東和非洲加速卡市場展望

• 市場規模及預測
• 市佔率及預測
• 中東和非洲：國家分析
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非

第10章：南美洲加速卡市場展望

• 市場規模及預測
• 市佔率及預測
• 南美洲：國家分析
  • 巴西
  • 哥倫比亞
  • 阿根廷

第11章 市場動態

• 促進要素
• 任務

第12章 市場趨勢與發展

• 併購
• 產品發布
• 最新進展

第13章 全球加速卡市場：SWOT分析

第14章：波特五力分析

• 產業競爭
• 新進入者的可能性
• 供應商電力
• 顧客權力
• 替代品的威脅

第15章 競爭格局

• 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16章 策略建議

第17章：關於研究公司及免責聲明

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

17. About Us & Disclaimer