硬体加速市场 - 全球产业规模、份额、趋势、机会及预测（按类型、应用、最终用户、地区和竞争格局划分），2021-2031年

全球硬体加速市场预计将从 2025 年的 53.7 亿美元成长到 2031 年的 212.1 亿美元，复合年增长率为 25.73%。

硬体加速是一种利用图形处理器 (GPU) 和现场可编程闸阵列(FPGA) 等专用元件来更有效率地执行特定任务的技术，其效率远高于标准中央处理器 (CPU)。人工智慧应用对运算能力的庞大需求以及现代资料中心对低延迟处理能力的日益重视，推动了这一市场的成长。世界半导体贸易统计 (WSTS) 也印证了这一趋势，预测作为加速硬体主要细分市场的逻辑半导体类别，在不断增长的运算需求驱动下，到 2024 年将成长 16.9%。

然而，设计和製造先进硅晶片的高昂成本是该市场面临的重大障碍。开发和整合客製化加速器所需的复杂工程技术构成了高额的资金门槛，有效地限制了中小企业的进入。这种成本结构显着限制了资金雄厚的机构广泛采用这些技术，并可能降低缺乏投资这些先进但昂贵的计算解决方案资金的机构的采用率。

市场驱动因素

人工智慧 (AI) 和机器学习工作负载的指数级成长是硬体加速发展的主要驱动力。这些复杂的神经网路所需的处理能力远远超出标准处理器的能力。为了处理深度学习所需的高阶数学运算，各公司正积极采用专用图形处理器 (GPU) 和专用积体电路 (ASIC)，以优化平行任务的执行。此趋势的财务影响十分显着。例如，NVIDIA 在 2024 年 8 月报告称，2025 财年第二季度资料中心收入将达到创纪录的 263 亿美元，同比增长 154%，凸显了加速计算在人工智慧开发中的重要性。

同时，对高效能资料中心基础设施日益增长的需求正迫使超大规模云端服务供应商整合客製化加速器，以提高吞吐量和能源效率。随着设施规模的扩大以容纳海量运算负载，现场闸阵列(FPGA) 和客製化晶片等技术对于最大限度地降低延迟和营运成本至关重要。微软在 2024 财年第四季 190 亿美元的资本支出（主要用于支援云端和人工智慧服务）凸显了这些基础设施投资的规模。此外，半导体产业协会 (SIA) 报告称，2024 年 8 月全球半导体销售额将达到 531 亿美元，这表明市场对硬体加速生态系统有着强劲的需求。

市场挑战

设计和製造先进硅晶片所需的巨额资本支出是硬体加速市场成长的主要障碍。开发客製化加速器涉及复杂的工程设计和大量的资本投入，这造成了很高的进入门槛，实际上将市场参与者限制在了财力雄厚的科技公司手中。这种排他性将资源匮乏的中小型企业和Start-Ups拒之门外，抑制了价格竞争，并限制了客户可选择的创新架构解决方案的种类。

此外，这种资本密集模式透过维持终端用户较高的单位成本，抑制了市场的扩充性。製造这些组件所需的基础设施需要大量投入，这直接影响到加速硬体的最终价格。根据SEMI的预测，到2024年，全球半导体製造设备的销售额将达到1,090亿美元，凸显了生产所需的投资规模之大。因此，硬体加速器仍然价格昂贵，这减缓了预算敏感型企业采用该技术的速度，并阻碍了该技术在成本敏感型工业领域的渗透。

市场趋势

将硬体加速技术融入边缘运算和物联网 (IoT) 设备，正从根本上重塑市场格局，将运算能力从集中式资料中心转移到网路边缘。汽车和工业自动化等行业正在加速将高性能加速器直接嵌入终端设备的趋势，以确保即时处理并降低延迟。这种转变正为提供智慧边缘平台的晶片製造商带来可观的收入。具体而言，高通报告称，其 2024 年 7 月的汽车业务收入达到 8.11 亿美元，年成长 87%，凸显了硬体加速器在非传统环境中的快速普及。

同时，光子硬体加速器正作为一种变革性趋势崭露头角，克服了传统硅基电子装置在物理和热力学方面的限制。光子架构利用光来传输资料和进行运算，从而提供卓越的能源效率和频宽，为未来人工智慧工作负载日益增长的电力需求提供了解决方案。随着产业向光计算转型，该领域的投资也日益强劲。例如，LightMatter公司于2024年10月宣布完成D轮资金筹措，融资额达4亿美元，公司估值达到44亿美元，这标誌着该新型硬体范式的商业化获得了强有力的资金支持。

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 全球硬体加速市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 按类型（图形处理单元、视讯处理单元、AI加速器、正规表示式加速器、加密处理加速器、其他）
  • 依应用领域（深度学习训练、公共云端推理、企业推理、其他）
  • 按最终用户划分（IT与电信、银行、金融服务和保险、零售、酒店、物流、汽车、医疗、能源、其他）
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章：北美硬体加速市场展望

• 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

7. 欧洲硬体加速市场展望

• 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：亚太地区硬体加速市场展望

• 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

9. 中东和非洲硬体加速市场展望

• 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：南美洲硬体加速市场展望

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

第十六章 策略建议

第十七章：关于研究公司及免责声明

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