硬體加速市場 - 全球產業規模、佔有率、趨勢、機會及預測（按類型、應用、最終用戶、地區和競爭格局分類），2021-2031年

全球硬體加速市場預計將從 2025 年的 53.7 億美元成長到 2031 年的 212.1 億美元，複合年成長率為 25.73%。

硬體加速是一種利用圖形處理器 (GPU) 和現場可編程閘陣列(FPGA) 等專用元件來更有效率地執行特定任務的技術，其效率遠高於標準中央處理器 (CPU)。人工智慧應用對運算能力的龐大需求以及現代資料中心對低延遲處理能力的日益重視，推動了這一市場的成長。世界半導體貿易統計 (WSTS) 也印證了這一趨勢，預測作為加速硬體主要細分市場的邏輯半導體類別，在不斷成長的運算需求驅動下，到 2024 年將成長 16.9%。

然而，設計和製造先進矽晶片的高昂成本是該市場面臨的重大障礙。開發和整合客製化加速器所需的複雜工程技術構成了高額的資金門檻，有效地限制了中小企業的進入。這種成本結構顯著限制了資金雄厚的機構廣泛採用這些技術，並可能降低缺乏投資這些先進但昂貴的計算解決方案資金的機構的採用率。

市場促進因素

人工智慧 (AI) 和機器學習工作負載的指數級成長是硬體加速發展的主要驅動力。這些複雜的神經網路所需的處理能力遠遠超出標準處理器的能力。為了處理深度學習所需的高階數學運算，各公司正積極採用專用圖形處理器 (GPU) 和專用積體電路 (ASIC)，以最佳化平行任務的執行。此趨勢的財務影響十分顯著。例如，NVIDIA 在 2024 年 8 月報告稱，2025 會計年度第二季度資料中心收入將達到創紀錄的 263 億美元，同比成長 154%，凸顯了加速計算在人工智慧開發中的重要性。

同時，對高效能資料中心基礎設施日益成長的需求正迫使超大規模雲端服務供應商整合客製化加速器，以提高吞吐量和能源效率。隨著設施規模的擴大以容納海量運算負載，現場閘陣列(FPGA) 和客製化晶片等技術對於最大限度地降低延遲和營運成本至關重要。微軟在 2024 會計年度第四季 190 億美元的資本支出（主要用於支援雲端和人工智慧服務）凸顯了這些基礎設施投資的規模。此外，半導體產業協會 (SIA) 報告稱，2024 年 8 月全球半導體銷售額將達到 531 億美元，這表明市場對硬體加速生態系統有著強勁的需求。

市場挑戰

設計和製造先進矽晶片所需的巨額資本支出是硬體加速市場成長的主要障礙。開發客製化加速器涉及複雜的工程設計和大量的資本投入，這造成了很高的進入門檻，實際上將市場參與者限制在了財力雄厚的科技公司手中。這種排他性將資源匱乏的中小型企業和Start-Ups拒之門外，抑制了價格競爭，並限制了客戶可選擇的創新架構解決方案的種類。

此外，這種資本密集模式透過維持終端用戶較高的單位成本，抑制了市場的擴充性。製造這些組件所需的基礎設施需要大量投入，這直接影響到加速硬體的最終價格。根據SEMI的預測，到2024年，全球半導體製造設備的銷售額將達到1,090億美元，凸顯了生產所需的投資規模之大。因此，硬體加速器仍然價格昂貴，這減緩了預算敏感型企業採用該技術的速度，並阻礙了該技術在成本敏感型工業領域的滲透。

市場趨勢

將硬體加速技術融入邊緣運算和物聯網 (IoT) 設備，正從根本上重塑市場格局，將運算能力從集中式資料中心轉移到網路邊緣。汽車和工業自動化等行業正在加速將高性能加速器直接嵌入終端設備的趨勢，以確保即時處理並降低延遲。這種轉變正為提供智慧邊緣平台的晶片製造商帶來可觀的收入。具體而言，高通報告稱，其 2024 年 7 月的汽車業務收入達到 8.11 億美元，年成長 87%，凸顯了硬體加速器在非傳統環境中的快速普及。

同時，光子硬體加速器正作為一種變革性趨勢嶄露頭角，克服了傳統矽基電子裝置在物理和熱力學方面的限制。光子架構利用光來傳輸資料和進行運算，從而提供卓越的能源效率和頻寬，為未來人工智慧工作負載日益成長的電力需求提供了解決方案。隨著產業向光計算轉型，該領域的投資也日益強勁。例如，LightMatter公司於2024年10月宣布完成D輪資金籌措，融資額達4億美元，公司估值達到44億美元，這標誌著該新型硬體範式的商業化獲得了強力的資金支持。

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 全球硬體加速市場展望

• 市場規模及預測
  • 按金額
• 市佔率及預測
  • 按類型（圖形處理單元、視訊處理單元、AI加速器、正規表示式加速器、加密處理加速器、其他）
  • 依應用領域（深度學習訓練、公共雲端推理、企業推理、其他）
  • 按最終用戶分類（IT與電信、銀行、金融服務和保險、零售、酒店、物流、汽車、醫療、能源、其他）
  • 按地區
  • 按公司（2025 年）
• 市場地圖

第6章：北美硬體加速市場展望

• 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

7. 歐洲硬體加速市場展望

• 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：亞太地區硬體加速市場展望

• 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

9. 中東和非洲硬體加速市場展望

• 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：南美洲硬體加速市場展望

• 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：全球硬體加速市場：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
• Intel Corporation
• Advanced Micro Devices, Inc.
• Alphabet Inc.
• IBM Corporation
• Microsoft Corporation
• Huawei Technologies Co., Ltd.
• Qualcomm Technologies, Inc.
• Fujitsu Limited
• Dell Technologies Inc.

第16章 策略建議

第17章：關於研究公司及免責聲明

The Global Hardware Acceleration Market is projected to expand from USD 5.37 Billion in 2025 to USD 21.21 Billion by 2031, exhibiting a Compound Annual Growth Rate (CAGR) of 25.73%. Hardware acceleration involves utilizing specialized components, such as Graphics Processing Units (GPUs) and Field-Programmable Gate Arrays (FPGAs), to execute specific tasks more efficiently than standard Central Processing Units (CPUs). This market growth is underpinned by the massive computational demands of artificial intelligence applications and the critical need for low-latency processing within modern data centers. Reinforcing this trajectory, the World Semiconductor Trade Statistics forecast that the Logic semiconductor category, a key segment for acceleration hardware, would grow by 16.9 percent in 2024 due to this rising computing demand.

However, the market faces significant hurdles related to the exorbitant costs involved in designing and manufacturing advanced silicon. The sophisticated engineering required to develop and integrate custom accelerators establishes a high financial barrier, effectively limiting the ability of smaller industry players to participate. This cost structure largely restricts widespread accessibility to well-funded organizations, potentially decelerating broader adoption rates among entities that lack the capital resources to invest in these advanced, yet expensive, computational solutions.

Market Driver

The exponential growth of artificial intelligence and machine learning workloads acts as a primary catalyst for hardware acceleration, as these complex neural networks demand processing power far beyond the capacity of standard processors. To handle the intensive mathematical operations required for deep learning, enterprises are aggressively adopting specialized graphics processing units and application-specific integrated circuits designed to optimize parallel task execution. The financial impact of this trend is significant; for instance, NVIDIA Corporation reported in August 2024 that its data center revenue for the second quarter of fiscal 2025 reached a record $26.3 billion, a 154 percent increase from the prior year, highlighting the essential role of accelerated computing in AI development.

Simultaneously, the rising demand for high-performance data center infrastructure is compelling hyperscale cloud providers to integrate custom accelerators to boost throughput and energy efficiency. As facilities expand to manage heavier computational loads, technologies like field-programmable gate arrays and custom silicon are becoming critical for minimizing latency and operational costs. Microsoft Corporation's capital expenditures of $19.0 billion in the fourth quarter of fiscal 2024, primarily to support cloud and AI services, illustrate the magnitude of these infrastructure investments. Furthermore, the Semiconductor Industry Association reported that global semiconductor sales hit $53.1 billion in August 2024, signaling robust market support for the hardware acceleration ecosystem.

Market Challenge

The immense financial burden required for the design and manufacturing of advanced silicon constitutes a major obstacle to the growth of the hardware acceleration market. Creating custom accelerators involves intricate engineering and substantial capital investment, establishing a high barrier to entry that effectively limits market participation to wealthy technology corporations. This exclusivity shuts out smaller firms and startups lacking sufficient resources, which subsequently stifles competitive pricing and restricts the variety of innovative architectural solutions available to customers.

Moreover, this capital intensity hampers market scalability by sustaining high unit costs for end-users. The infrastructure needed to manufacture these components necessitates massive expenditure, which directly impacts the final price of acceleration hardware. As forecasted by SEMI, global sales of semiconductor manufacturing equipment were expected to reach $109 billion in 2024, highlighting the scale of investment required for production. Consequently, hardware accelerators remain expensive, slowing their adoption rate among budget-conscious organizations and preventing the technology from permeating cost-sensitive industry sectors.

Market Trends

The incorporation of hardware acceleration into edge computing and Internet of Things (IoT) devices is fundamentally reshaping the market by moving computational power from centralized data centers to the network edge. Industries such as automotive and industrial automation are increasingly embedding high-performance accelerators directly into end-point devices to ensure real-time processing and reduce latency. This transition is driving significant revenue for chipmakers providing intelligent edge platforms; specifically, Qualcomm Incorporated reported in July 2024 that its automotive revenue jumped 87 percent year-over-year to $811 million, highlighting the rapid uptake of accelerated hardware in non-traditional environments.

In parallel, the emergence of photonic hardware accelerators is becoming a transformative trend aimed at overcoming the physical and thermal constraints of traditional electronic silicon. By utilizing light for data transmission and calculation, photonic architectures offer superior energy efficiency and bandwidth, presenting a solution to the growing power requirements of future artificial intelligence workloads. Investment in this sector has intensified as the industry pivots toward optical computing; for instance, Lightmatter announced in October 2024 that it secured $400 million in Series D funding with a valuation of $4.4 billion, demonstrating strong financial support for commercializing this alternative hardware paradigm.

Key Market Players

• NVIDIA Corporation
• Intel Corporation
• Advanced Micro Devices, Inc.
• Alphabet Inc.
• IBM Corporation
• Microsoft Corporation
• Huawei Technologies Co., Ltd.
• Qualcomm Technologies, Inc.
• Fujitsu Limited
• Dell Technologies Inc.

Report Scope

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

Hardware Acceleration Market, By Type

• Graphics Processing Unit
• Video Processing Unit
• AI Accelerator
• Regular Expression Accelerator
• Cryptographic Accelerator
• Others

Hardware Acceleration Market, By Application

• Deep Learning Training
• Public Cloud Inference
• Enterprise Inference
• Others

Hardware Acceleration Market, By End User

• IT and Telecommunication
• BFSI
• Retail
• Hospitality
• Logistics
• Automotive
• Healthcare
• Energy
• Others

Hardware Acceleration 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 Hardware Acceleration Market.

Available Customizations:

Global Hardware Acceleration 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 Hardware Acceleration Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Type (Graphics Processing Unit, Video Processing Unit, AI Accelerator, Regular Expression Accelerator, Cryptographic Accelerator, Others)
  • 5.2.2. By Application (Deep Learning Training, Public Cloud Inference, Enterprise Inference, Others)
  • 5.2.3. By End User (IT and Telecommunication, BFSI, Retail, Hospitality, Logistics, Automotive, Healthcare, Energy, Others)
  • 5.2.4. By Region
  • 5.2.5. By Company (2025)
• 5.3. Market Map

6. North America Hardware Acceleration Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Type
  • 6.2.2. By Application
  • 6.2.3. By End User
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Hardware Acceleration 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 Type
      • 6.3.1.2.2. By Application
      • 6.3.1.2.3. By End User
  • 6.3.2. Canada Hardware Acceleration 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 Type
      • 6.3.2.2.2. By Application
      • 6.3.2.2.3. By End User
  • 6.3.3. Mexico Hardware Acceleration 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 Type
      • 6.3.3.2.2. By Application
      • 6.3.3.2.3. By End User

7. Europe Hardware Acceleration Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Type
  • 7.2.2. By Application
  • 7.2.3. By End User
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Hardware Acceleration 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 Type
      • 7.3.1.2.2. By Application
      • 7.3.1.2.3. By End User
  • 7.3.2. France Hardware Acceleration 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 Type
      • 7.3.2.2.2. By Application
      • 7.3.2.2.3. By End User
  • 7.3.3. United Kingdom Hardware Acceleration 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 Type
      • 7.3.3.2.2. By Application
      • 7.3.3.2.3. By End User
  • 7.3.4. Italy Hardware Acceleration 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 Type
      • 7.3.4.2.2. By Application
      • 7.3.4.2.3. By End User
  • 7.3.5. Spain Hardware Acceleration 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 Type
      • 7.3.5.2.2. By Application
      • 7.3.5.2.3. By End User

8. Asia Pacific Hardware Acceleration Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Type
  • 8.2.2. By Application
  • 8.2.3. By End User
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Hardware Acceleration 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 Type
      • 8.3.1.2.2. By Application
      • 8.3.1.2.3. By End User
  • 8.3.2. India Hardware Acceleration 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 Type
      • 8.3.2.2.2. By Application
      • 8.3.2.2.3. By End User
  • 8.3.3. Japan Hardware Acceleration 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 Type
      • 8.3.3.2.2. By Application
      • 8.3.3.2.3. By End User
  • 8.3.4. South Korea Hardware Acceleration 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 Type
      • 8.3.4.2.2. By Application
      • 8.3.4.2.3. By End User
  • 8.3.5. Australia Hardware Acceleration 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 Type
      • 8.3.5.2.2. By Application
      • 8.3.5.2.3. By End User

9. Middle East & Africa Hardware Acceleration Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Type
  • 9.2.2. By Application
  • 9.2.3. By End User
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Hardware Acceleration 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 Type
      • 9.3.1.2.2. By Application
      • 9.3.1.2.3. By End User
  • 9.3.2. UAE Hardware Acceleration 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 Type
      • 9.3.2.2.2. By Application
      • 9.3.2.2.3. By End User
  • 9.3.3. South Africa Hardware Acceleration 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 Type
      • 9.3.3.2.2. By Application
      • 9.3.3.2.3. By End User

10. South America Hardware Acceleration Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Type
  • 10.2.2. By Application
  • 10.2.3. By End User
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Hardware Acceleration 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 Type
      • 10.3.1.2.2. By Application
      • 10.3.1.2.3. By End User
  • 10.3.2. Colombia Hardware Acceleration 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 Type
      • 10.3.2.2.2. By Application
      • 10.3.2.2.3. By End User
  • 10.3.3. Argentina Hardware Acceleration 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 Type
      • 10.3.3.2.2. By Application
      • 10.3.3.2.3. By End User

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 Hardware Acceleration 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. Intel Corporation
• 15.3. Advanced Micro Devices, Inc.
• 15.4. Alphabet Inc.
• 15.5. IBM Corporation
• 15.6. Microsoft Corporation
• 15.7. Huawei Technologies Co., Ltd.
• 15.8. Qualcomm Technologies, Inc.
• 15.9. Fujitsu Limited
• 15.10. Dell Technologies Inc.

16. Strategic Recommendations

17. About Us & Disclaimer