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市场调查报告书
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1806034

硬体加速市场报告：趋势、预测和竞争分析（至 2031 年）

Hardware Acceleration Market Report: Trends, Forecast and Competitive Analysis to 2031
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3个工作天内

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全球硬体加速市场前景光明，深度学习训练、公共云端推理和企业云推理市场都蕴藏着巨大的机会。预计2025年至2031年，全球硬体加速市场的复合年增长率将达到49.1%。该市场的主要驱动力是对高效能运算日益增长的需求以及云端运算和资料中心的进步。

  • 根据Lucintel的预测，图形处理单元将在预测期内实现最高成长，这得益于游戏、模拟和资料中心对高效能运算的需求不断增长，导致GPU利用率提高。
  • 深度学习训练预计将在各个应用中实现最高成长，因为人工智慧应用中对更快、更有效率的模型训练的需求不断增长，推动了硬体加速器在深度学习中的使用。
  • 按地区划分，预计北美在预测期内将经历最高的成长。

硬体加速市场的新趋势

如今，硬体加速市场的新趋势正在不断演变，并改变全球各行各业的格局。这些变化趋势表明，对人工智慧和巨量资料相关应用的日益依赖，正在推动硬体加速器在处理能力、效率和适应性方面的提升。

  • 将 AI 整合到硬体加速：AI 工作负载通常需要强大的处理能力，而 GPU 和客製化 ASIC 等硬体加速器旨在比通用处理器更有效率地处理这些任务。 AI主导的硬体加速器对于机器学习、深度学习和资料分析等应用至关重要。这种整合正在推动医疗保健、汽车和金融等行业的效能提升，从而实现更快的决策和即时洞察。
  • 利用 FPGA：FPGA 的适应性使其在硬体加速市场中广受欢迎。 FPGA 可以针对特定应用进行重新编程。 FPGA 具有高度可自订性，并提供低延迟和高吞吐量，非常适合通讯、资料中心和汽车等应用。对于影像处理和视讯编码等特定任务需要专用硬体加速的产业而言，FPGA 至关重要。其灵活性和任务优化能力使其在高效能运算环境中的应用日益广泛。
  • 边缘运算和硬体加速的兴起：边缘运算催生了对网路边缘硬体加速的强烈需求。边缘设备通常需要在本地即时处理资料以避免延迟，这使得 GPU 和 AI 晶片等硬体加速器至关重要。边缘运算的采用正在推动即时数据处理至关重要的行业的发展，例如自动驾驶、智慧城市和物联网。这一趋势的推动力源于对硬体加速的需求，以支援边缘 AI 和机器学习模型。
  • 量子运算与硬体加速：量子运算的兴起带来了一种新的典范。量子运算无疑是硬体加速领域的新趋势之一。在早期阶段，量子运算有望将资料处理方式从传统的二进位位元转变为量子位元（qubit）。最佳硬体加速器旨在优化系统，以充分利用量子运算带来的更高运算速度。这项技术可望在密码学、材料科学和复杂模拟等领域中得到应用。随着量子运算的进步，硬体加速器很可能成为推动这项技术迈向实用化的关键因素。
  • 硬体加速器在区块链技术中的应用：区块链技术开始使用硬体加速器来加速交易处理和检验。加密货币和去中心化金融（DeFi）的蓬勃发展趋势正在推动对高效区块链解决方案的需求。 ASIC 和 FPGA 正在被应用于硬体加速器，以提升区块链网路效能、提高吞吐量并降低延迟。这使得矿工每秒能够处理更多交易，从而提高区块链应用的效率和可扩展性。这一趋势在金融和供应链管理行业尤其重要。

硬体加速市场的新兴趋势，例如人工智慧整合、边缘运算、FPGA 应用、量子运算以及区块链应用，正在改变产业面貌，并影响着对更快、更有效率处理解决方案的需求。随着这些新应用的不断发展，硬体加速器很可能仍将是其发展的中心。

硬体加速市场的最新趋势

硬体加速市场正在经历几项重大发展，这些发展正在改变高效能环境中的资料处理方式。这些发展反映了硬体架构的进步、与新技术的集成，以及各行各业对客製化解决方案日益增长的需求。

  • GPU 技术的进步：GPU 处于硬体加速领域的前沿，最近的发展显着提升了这些处理器的效能和效率。 NVIDIA 和 AMD 等公司正在生产新一代 GPU，它们具有更快的处理速度、更强大的记忆体和更高的能效，这些对于游戏、人工智慧和巨量资料分析等需要强大运算能力来即时处理和分析资料的应用至关重要。
  • 自从机器学习和深度学习演算法的应用兴起以来，AI专用硬体加速器的数量呈指数级增长。谷歌等公司推出了TPU，英特尔推出了Nervana晶片，这些公司正在为AI工作负载建立专用硬体。这些加速器旨在优化自然语言处理、影像识别和自动驾驶等任务的性能。它们可以提高计算速度并降低能耗。
  • 资料中心的 FPGA 技术：FPGA 正越来越多地部署在资料中心，用于执行各种特定任务。它们具有灵活性和低延迟，非常适合需要客製化处理的应用，例如加密、即时分析和高频交易。由于 FPGA 可以根据不同的工作负载进行重新编程，因此在效率和扩充性至关重要的资料中心中，它们成为热门选择。企业正在大力投资 FPGA 解决方案，以提高资料中心效能并降低营运成本。
  • 专用ASIC晶片的兴起：专用积体电路（ASIC）在硬体加速方面日益重要，尤其是在区块链和加密货币挖矿等领域。 ASIC是客製化晶片，旨在比通用处理器更有效率地执行单一任务。这些客製化晶片非常适合需要重复计算的应用，例如加密货币挖矿和视讯编码。其在功耗和处理速度方面的高效性，可望在金融和通讯等更多行业中得到应用。
  • 汽车系统中硬体加速器的成长：汽车公司越来越多地在自动驾驶汽车系统中采用硬体加速器。包括 GPU 和 AI 晶片在内的硬体加速器为自动驾驶汽车内部即时物体检测、导航和决策所需的复杂演算法提供支援。随着汽车产业对自动驾驶和驾驶辅助系统的兴趣日益浓厚，硬体加速器对于处理来自感测器和摄影机的大量数据至关重要。预计这一趋势将在未来几年推动硬体加速市场的显着成长。

随着 GPU、AI 专用硬体、FPGA、ASIC 和汽车系统的进步，硬体加速的新兴趋势有望为各个领域带来创新。这将加快数据处理速度，不仅提升效能，更提升营运效率，为各种应用中更新、更先进、更有效率的系统铺路。

目录

第一章执行摘要

第二章 市场概述

  • 背景和分类
  • 供应链

第三章：市场趋势与预测分析

  • 宏观经济趋势与预测
  • 产业驱动力与挑战
  • PESTLE分析
  • 专利分析
  • 法规环境

第四章全球硬体加速市场（按类型）

  • 概述
  • 吸引力分析：按类型
  • 图形处理单元：趋势与预测（2019-2031）
  • 视讯处理设备：趋势与预测（2019-2031）
  • 人工智慧加速器：趋势与预测（2019-2031）
  • 正规表示式加速器：趋势与预测（2019-2031）
  • 加密加速器：趋势与预测（2019-2031）
  • 其他：趋势与预测（2019-2031）

5. 全球硬体加速市场（按应用）

  • 概述
  • 吸引力分析：按用途
  • 深度学习训练：趋势与预测（2019-2031）
  • 公共云端推理：趋势与预测（2019-2031）
  • 企业云推理：趋势与预测（2019-2031）
  • 其他：趋势与预测（2019-2031）

第六章区域分析

  • 概述
  • 全球硬体加速市场（按地区）

7.北美硬体加速市场

  • 概述
  • 北美硬体加速市场（按类型）
  • 北美硬体加速市场（按应用）
  • 美国硬体加速市场
  • 墨西哥的硬体加速市场
  • 加拿大硬体加速市场

第八章：欧洲硬体加速市场

  • 概述
  • 欧洲硬体加速市场（按类型）
  • 欧洲硬体加速市场（按应用）
  • 德国硬体加速市场
  • 法国硬体加速市场
  • 西班牙硬体加速市场
  • 义大利硬体加速市场
  • 英国硬体加速市场

9.亚太硬体加速市场

  • 概述
  • 亚太硬体加速市场（按类型）
  • 亚太地区硬体加速市场（按应用）
  • 日本的硬体加速市场
  • 印度硬体加速市场
  • 中国硬体加速市场
  • 韩国硬体加速市场
  • 印尼硬体加速市场

10. 其他地区（ROW）硬体加速市场

  • 概述
  • 世界其他地区 (ROW) 硬体加速市场（按类型）
  • 世界其他地区 (ROW) 硬体加速市场（按应用）
  • 中东硬体加速市场
  • 南美洲硬体加速市场
  • 非洲硬体加速市场

第十一章 竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析
    • 竞争对手之间的竞争
    • 买方议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 新进入者的威胁
  • 市场占有率分析

第十二章机会与策略分析

  • 价值链分析
  • 成长机会分析
    • 按类型分類的成长机会
    • 按应用分類的成长机会
  • 全球硬体加速市场的新趋势
  • 战略分析
    • 新产品开发
    • 认证和许可
    • 企业合併（M&A）、协议、合作与合资企业

第十三章 价值链主要企业概况

  • Competitive Analysis
  • Advanced Micro Devices
  • Intel Corporation
  • Lenovo Group
  • Nvidia Corporation
  • IBM Corporation
  • Xilinx
  • Oracle Corporation

第十四章 附录

  • 图片列表
  • 表格列表
  • 分析方法
  • 免责声明
  • 版权
  • 简称和技术单位
  • 关于 Lucintel
  • 询问

The future of the global hardware acceleration market looks promising with opportunities in the deep learning training, public cloud inference, and enterprise cloud inference markets. The global hardware acceleration market is expected to grow with a CAGR of 49.1% from 2025 to 2031. The major drivers for this market are the growing demand for high-performance computing and the advancements in cloud computing & data centers.

  • Lucintel forecasts that, within the type category, graphics processing units are expected to witness the highest growth over the forecast period due to increasing demand for high-performance computing in gaming, simulations, and data centers, which is boosting GPU utilization.
  • Within the application category, deep learning training is expected to witness the highest growth due to the growing demand for faster and more efficient model training in AI applications, which is accelerating the use of hardware accelerators in deep learning.
  • In terms of region, North America is expected to witness the highest growth over the forecast period.

Emerging Trends in the Hardware Acceleration Market

Hardware acceleration market emerging trends are changing the game of different industries worldwide as it evolves today. These changes in trends show how processing, efficiency, and adaptability related to hardware accelerators are being improved while heightened reliance on applications related to AI and big data.

  • The integration of AI into hardware acceleration: AI workloads often require massive processing power, and hardware accelerators like GPUs and custom ASICs are designed to handle these tasks more efficiently than general-purpose processors. AI-driven hardware accelerators are becoming crucial in applications such as machine learning, deep learning, and data analytics. This integration improves performance in industries such as healthcare, automotive, and finance, allowing for faster decision-making and real-time insights.
  • Utilization of FPGAs: With the usage of FPGAs that are highly adaptable, they are utilized in the hardware acceleration market. FPGAs can be reprogrammed according to specific applications. FPGAs are highly customizable and are suitable for applications like telecommunications, data centers, and automotive with respect to achieving low latency and high throughput. FPGAs are of great importance to those industries that have specific tasks, such as image processing or video encoding, for dedicated hardware acceleration. Their flexibility and ability to optimize tasks are driving their increasing use in high-performance computing environments.
  • Rise of Edge Computing and Hardware Acceleration: Edge computing has given rise to a strong demand for hardware acceleration at the network's edge. Edge devices often need to process data locally and in real-time to avoid latency, so hardware accelerators such as GPUs and AI chips are essential. The adoption of edge computing is taking place in industries such as autonomous driving, smart cities, and IoT, where real-time processing of data is critical. The growth in this trend is being driven by the need for hardware acceleration to support AI and machine learning models at the edge.
  • Quantum Computing and Hardware Acceleration: The new paradigm is the rise of quantum computing. No doubt, quantum computing is one of the new trends that emerged in hardware acceleration. In its infancy, quantum computing promises to change the landscape of processing data-traditional binary bits versus the quantum bit, or qubits. The best hardware accelerators aim for optimization to leverage enhanced calculation speeds into quantum computing. This technology is likely to be applied in areas such as cryptography, material science, and complex simulations. As quantum computing advances, hardware accelerators are going to become an important enabler of this technology to bring it closer to being used in practice.
  • Application of Hardware Accelerators in Blockchain Technology: Blockchain technology has started using hardware acceleration for accelerating the processing and verification of transactions. As the cryptocurrency and decentralized finance (DeFi) trend rises, there is a great demand for efficient blockchain solutions. ASICs and FPGAs are applied in hardware accelerators to boost the performance of blockchain networks, increase throughput, and decrease latency. With this, the efficiency and scalability of blockchain applications will be increased due to miners' ability to process more transactions per second. This trend is particularly important in the finance and supply chain management industries.

Emerging trends in the hardware acceleration market, like AI integration, edge computing, FPGA adoption, quantum computing, and blockchain applications, are all changing the face of industries and are impacting demand for faster and more efficient processing solutions. As these new applications continue to develop, hardware accelerators will remain at the epicenter of the action.

Recent Developments in the Hardware Acceleration Market

The hardware acceleration market has witnessed several key developments that are transforming the way data is processed in high-performance environments. These developments reflect advances in hardware architecture, integration with emerging technologies, and the growing demand for custom solutions across various sectors.

  • Advancements in GPU Technology: GPUs are at the cutting edge of hardware acceleration, and the latest developments have dramatically improved the performance and efficiency of these processors. Companies such as NVIDIA and AMD have produced newer generations of GPUs with faster processing, improved memory, and greater energy efficiency. All this is critical for applications in gaming, AI, and big data analytics, where high computational power is required to process and analyze data in real-time.
  • AI-Specific Hardware Accelerators: They have grown in leaps and bounds since the increasing growth of machine and deep learning algorithm usage. Companies such as Google with its TPU and Intel with its Nervana chips build specialized hardware based on AI workloads. These accelerators are designed to optimize the performance of tasks like natural language processing, image recognition, and autonomous driving. They improve computation speed and decrease energy consumption.
  • FPGA Technology in Data Centers: FPGAs are being increasingly included in data centers for dedicated tasks. FPGAs provide flexibility and low latency, which are suitable for applications that need customized processing, such as encryption, real-time analytics, and high-frequency trading. They can be reprogrammed for different workloads, making them a popular choice for data centers, where efficiency and scalability are paramount. Companies are investing heavily in FPGA solutions to improve the performance of data centers and reduce their operating costs.
  • Rise of Specialized ASIC Chips: Application-specific integrated circuits (ASICs) have become more prominent in hardware acceleration, especially in areas such as blockchain and cryptocurrency mining. Custom chips made to perform a single task more efficiently than a general-purpose processor are ASICs. Such custom chips are great for applications requiring repetitive computations, such as cryptocurrency mining or video encoding. Their efficiency in power consumption and processing speed will also encourage their use in more industries, such as finance and telecommunications.
  • Growth of Hardware Accelerators in Automotive Systems: Automotive companies are adopting more hardware accelerators in autonomous vehicle systems. Hardware accelerators, including GPUs and AI chips, power complex algorithms necessary for the real-time detection of objects, navigation, and decisions inside an autonomous vehicle. With the growing interest of the automotive industry in autonomous driving and driver assistance systems, hardware accelerators are becoming a critical necessity for processing large volumes of data from sensors and cameras. This trend is expected to drive significant growth in the hardware acceleration market in the coming years.

New trends in hardware acceleration with advances in GPUs, AI-specific hardware, FPGA, ASIC, and automotive systems will have an innovation potential across different sectors. This is bringing a faster pace to data processing and better performance as well as operational efficiency, thereby opening the gateways for newer, advanced, and more efficient systems in various applications.

Strategic Growth Opportunities in the Hardware Acceleration Market

The hardware acceleration market holds immense growth opportunities across key applications due to advancements in processing technologies and the need for high-performance computing. All these opportunities are setting up the future for industries like AI, automotive, finance, and telecommunication.

  • AI and Machine Learning Applications: The growing demand for AI and machine learning applications presents a significant growth opportunity for hardware accelerators. AI algorithms require significant computational power, and hardware accelerators like GPUs, TPUs, and FPGAs are designed to meet these needs. As AI adoption increases across industries like healthcare, automotive, and finance, the need for more efficient and specialized hardware accelerators will continue to rise.
  • Edge Computing and IoT: Edge computing is increasingly becoming a fundamental component of the hardware acceleration market, especially as the Internet of Things (IoT) continues to grow. Edge devices should process data locally to reduce latency and enhance real-time decision-making. Hardware accelerators, such as AI chips and GPUs, are really important for allowing faster data processing at the edge. These have made low-latency processing essential to applications such as autonomous vehicles, smart cities, and industrial IoT.
  • Blockchain and Cryptocurrency: Blockchain technology is a major market driver for the hardware acceleration business, especially mining cryptocurrencies. It requires specialized hardware, such as ASICs and FPGAs, to process transactions and mine cryptocurrencies efficiently. As blockchain technology expands into other sectors in finance and supply chain management, the demand for these hardware accelerators will grow. This opportunity will allow firms to develop solutions that optimize blockchain performance for marketing.
  • High-Performance Computing (HPC): Rising applications of HPC are also a key growth opportunity. As industries such as research, simulation, and analytics of complex data require HPC, hardware accelerators like GPUs, TPUs, and FPGAs can have a huge impact in speeding up computations. The increasing necessity for faster, more efficient computational capability is driving hardware accelerators in the data centers of research institutions and academic environments.
  • Automotive and Autonomous Vehicles: The automotive sector, especially autonomous driving, presents tremendous growth potential for hardware accelerators. Processing real-time sensor and camera data in self-driving cars requires high-performance hardware accelerators to fuel algorithms for object detection, navigation, and decision-making. As the automotive industry continues to innovate in autonomous driving and ADAS (Advanced Driver Assistance Systems), so will the demand for hardware accelerators.

Future opportunities in AI, edge computing, blockchain, HPC, and automotive systems are driving strategic growth in the hardware acceleration market. These areas present a picture where hardware accelerators play an indispensable role in applications involving performance improvement, scalability, and efficiency.

Hardware Acceleration Market Driver and Challenges

Technological advancement, economic pressure, and regulatory considerations are factors that influence the hardware acceleration market. These drivers and challenges affect the adoption and growth of hardware accelerators across industries, thereby determining the direction of market trends and innovation.

The factors responsible for driving the hardware acceleration market include:

1. Technological advancements: Hardware acceleration is driven by the growth of processing technologies, such as GPUs, FPGAs, and ASICs. In fact, these innovations allow complex workloads to be processed much faster and more efficiently. Therefore, hardware accelerators play a role in applications relating to AI, machine learning, and high-performance computing.

2. Rising demand for AI and big data: The increased use of AI, machine learning, and big data analytics is one of the biggest drivers for hardware accelerators. These technologies require a huge amount of computational power, and hardware accelerators provide the necessary speed and efficiency to handle large datasets and complex algorithms.

3. Cloud computing and data center boom: As the boom of cloud computing and data centers continues, so does the rise in demand for hardware accelerators. Data centers are using high-performance hardware for AI, big data, and virtualization technologies, further increasing the requirements with the boom in cloud.

4. Edge computing and IoT growth: Edge computing and the Internet of Things, in general, are creating increased demand for hardware accelerators located at the network's edge. Low-latency processing and real-time decision-making require specialist hardware to undertake local computations that will be creating new growth opportunities in hardware acceleration technology.

5. Advances in automotive technologies: The use of autonomous vehicles and other automotive-related technologies is advancing the use of hardware accelerators because these systems must operate with real-time processing to ensure both safety and efficiency.

Challenges in the hardware acceleration market are:

1. High cost of specialized hardware: Among the main challenges in the hardware acceleration market is the high cost associated with specialized hardware. These include high-performance chips such as GPUs, FPGAs, and ASICs, which are very expensive to design and deploy. Access is thereby limited to small businesses and startups.

2. Complex integration with existing systems: Integrating hardware accelerators into existing infrastructures can be complex and costly. Many companies face challenges in ensuring compatibility between new hardware and legacy systems, which can slow down adoption and reduce overall efficiency.

3. Privacy and data security concerns: As hardware accelerators handle large volumes of sensitive data, privacy and data security concerns are significant challenges. Companies must ensure that their systems comply with data protection regulations and securely handle user data to avoid security breaches.

The growing demand for AI and big data, technological advancement, and the growth of cloud computing, edge computing, and automotive technologies drive the hardware acceleration market. But high costs, integration complexities, and data security issues need to be overcome to maintain growth and acceptance of hardware accelerators.

List of Hardware Acceleration Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leveraging integration opportunities across the value chain. With these strategies, hardware acceleration companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the hardware acceleration companies profiled in this report include:

  • Advanced Micro Devices
  • Intel Corporation
  • Lenovo Group
  • Nvidia Corporation
  • IBM Corporation
  • Xilinx
  • Oracle Corporation

Hardware Acceleration Market by Segment

The study includes a forecast for the global hardware acceleration market by type, application, and region.

Hardware Acceleration Market by Type [Value from 2019 to 2031]:

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

Hardware Acceleration Market by Application [Value from 2019 to 2031]:

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

Hardware Acceleration Market by Region [Value from 2019 to 2031]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

Country Wise Outlook for the Hardware Acceleration Market

The hardware acceleration market is growing rapidly as industries around the world embrace innovations that enhance processing speeds and reduce computational workloads. Hardware acceleration is the use of specialized hardware components to perform certain functions more efficiently than software alone. In markets such as the United States, China, Germany, India, and Japan, the adoption of hardware acceleration solutions is being driven by advancements in AI, machine learning, and high-performance computing. This technology is particularly critical in applications such as data centers, gaming, automotive, and cloud computing, where performance and scalability are critical.

  • United States: The hardware acceleration market in the United States is growing rapidly due to advancements in AI and data center technologies. Major players like NVIDIA and Intel are leading the market with GPU and FPGA solutions that improve processing efficiency and speed. The growing use of cloud computing and the rise in the demand for AI-based applications have dramatically increased the demand for hardware acceleration. Another reason is that U.S. companies are highly investing in research and development in hardware accelerators to increase their performance to efficiently support big data analytics and real-time decision-making systems.
  • China: The hardware acceleration market in China is booming with the pace of technological advancements and increasing focus on artificial intelligence (AI) and 5G networks. Among those companies engaged in the development of customized hardware accelerators, such as AI chips designed for deep learning applications, Baidu and Huawei are at the forefront in China. The Chinese government has also been prompting advancements in high-performance computing (HPC) and AI-driven technologies; thus, growing the demand for hardware acceleration solutions in industries such as autonomous vehicles, healthcare, and manufacturing. This country is likely to expand this market since it aims to be a world leader in AI.
  • Germany: The hardware acceleration market in Germany is expanding because of the growing demand for high-performance computing (HPC) and data analytics solutions. The automotive, healthcare, and manufacturing sectors have been the highest adopters of hardware acceleration technology. Companies such as SAP are developing AI-driven hardware solutions to enable data processing capabilities to speed up and enhance overall operations. There is also growing support from Germany toward Industry 4.0 and further digital transformation processes in manufacturing industries. The use of hardware accelerators, such as GPUs and FPGAs, is increasing efficiency for complex simulations and real-time processing in these industries.
  • India: The use of hardware acceleration technology in the country is on an uptrend, with the country's IT and telecommunications markets growing multifold. Improvements in AI, big data, and cloud computing infrastructure being pursued by the Indian government have increased the demand for specialized hardware. Companies in India are integrating AI, machine learning, and high-performance computing solutions into their operations, and the use of hardware accelerators is becoming critical for optimizing these applications. In the semiconductor industry, startups are also contributing to the development of custom hardware accelerators, which enhance performance for domestic and international clients.
  • Japan: Hardware acceleration is being adopted across several sectors, including automotive, robotics, and electronics, in Japan. Japanese companies like Sony and Toyota are integrating hardware acceleration solutions into their research and development of AI-powered robotics and autonomous vehicles. The growing demand for real-time data processing in industries like healthcare and manufacturing is driving the expansion of hardware acceleration technologies, including GPUs and FPGAs. Japan's focus on technological innovation, particularly in AI and robotics, is propelling the demand for hardware accelerators to improve processing efficiency and enable more advanced machine learning algorithms.

Features of the Global Hardware Acceleration Market

  • Market Size Estimates: Hardware acceleration market size estimation in terms of value ($B).
  • Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.
  • Segmentation Analysis: Hardware acceleration market size by type, application, and region in terms of value ($B).
  • Regional Analysis: Hardware acceleration market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
  • Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the hardware acceleration market.
  • Strategic Analysis: This includes M&A, new product development, and the competitive landscape of the hardware acceleration market.

Analysis of the competitive intensity of the industry based on Porter's Five Forces model.

This report answers the following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the hardware acceleration market by type (graphics processing unit, video processing unit, AI accelerator, regular expression accelerator, cryptographic accelerator, and others), application (deep learning training, public cloud inference, enterprise cloud inference, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Market Overview

  • 2.1 Background and Classifications
  • 2.2 Supply Chain

3. Market Trends & Forecast Analysis

  • 3.1 Macroeconomic Trends and Forecasts
  • 3.2 Industry Drivers and Challenges
  • 3.3 PESTLE Analysis
  • 3.4 Patent Analysis
  • 3.5 Regulatory Environment

4. Global Hardware Acceleration Market by Type

  • 4.1 Overview
  • 4.2 Attractiveness Analysis by Type
  • 4.3 Graphics Processing Unit: Trends and Forecast (2019-2031)
  • 4.4 Video Processing Unit: Trends and Forecast (2019-2031)
  • 4.5 AI Accelerator: Trends and Forecast (2019-2031)
  • 4.6 Regular Expression Accelerator: Trends and Forecast (2019-2031)
  • 4.7 Cryptographic Accelerator: Trends and Forecast (2019-2031)
  • 4.8 Others: Trends and Forecast (2019-2031)

5. Global Hardware Acceleration Market by Application

  • 5.1 Overview
  • 5.2 Attractiveness Analysis by Application
  • 5.3 Deep Learning Training: Trends and Forecast (2019-2031)
  • 5.4 Public Cloud Inference: Trends and Forecast (2019-2031)
  • 5.5 Enterprise Cloud Inference: Trends and Forecast (2019-2031)
  • 5.6 Others: Trends and Forecast (2019-2031)

6. Regional Analysis

  • 6.1 Overview
  • 6.2 Global Hardware Acceleration Market by Region

7. North American Hardware Acceleration Market

  • 7.1 Overview
  • 7.2 North American Hardware Acceleration Market by Type
  • 7.3 North American Hardware Acceleration Market by Application
  • 7.4 United States Hardware Acceleration Market
  • 7.5 Mexican Hardware Acceleration Market
  • 7.6 Canadian Hardware Acceleration Market

8. European Hardware Acceleration Market

  • 8.1 Overview
  • 8.2 European Hardware Acceleration Market by Type
  • 8.3 European Hardware Acceleration Market by Application
  • 8.4 German Hardware Acceleration Market
  • 8.5 French Hardware Acceleration Market
  • 8.6 Spanish Hardware Acceleration Market
  • 8.7 Italian Hardware Acceleration Market
  • 8.8 United Kingdom Hardware Acceleration Market

9. APAC Hardware Acceleration Market

  • 9.1 Overview
  • 9.2 APAC Hardware Acceleration Market by Type
  • 9.3 APAC Hardware Acceleration Market by Application
  • 9.4 Japanese Hardware Acceleration Market
  • 9.5 Indian Hardware Acceleration Market
  • 9.6 Chinese Hardware Acceleration Market
  • 9.7 South Korean Hardware Acceleration Market
  • 9.8 Indonesian Hardware Acceleration Market

10. ROW Hardware Acceleration Market

  • 10.1 Overview
  • 10.2 ROW Hardware Acceleration Market by Type
  • 10.3 ROW Hardware Acceleration Market by Application
  • 10.4 Middle Eastern Hardware Acceleration Market
  • 10.5 South American Hardware Acceleration Market
  • 10.6 African Hardware Acceleration Market

11. Competitor Analysis

  • 11.1 Product Portfolio Analysis
  • 11.2 Operational Integration
  • 11.3 Porter's Five Forces Analysis
    • Competitive Rivalry
    • Bargaining Power of Buyers
    • Bargaining Power of Suppliers
    • Threat of Substitutes
    • Threat of New Entrants
  • 11.4 Market Share Analysis

12. Opportunities & Strategic Analysis

  • 12.1 Value Chain Analysis
  • 12.2 Growth Opportunity Analysis
    • 12.2.1 Growth Opportunities by Type
    • 12.2.2 Growth Opportunities by Application
  • 12.3 Emerging Trends in the Global Hardware Acceleration Market
  • 12.4 Strategic Analysis
    • 12.4.1 New Product Development
    • 12.4.2 Certification and Licensing
    • 12.4.3 Mergers, Acquisitions, Agreements, Collaborations, and Joint Ventures

13. Company Profiles of the Leading Players Across the Value Chain

  • 13.1 Competitive Analysis
  • 13.2 Advanced Micro Devices
    • Company Overview
    • Hardware Acceleration Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing
  • 13.3 Intel Corporation
    • Company Overview
    • Hardware Acceleration Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing
  • 13.4 Lenovo Group
    • Company Overview
    • Hardware Acceleration Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing
  • 13.5 Nvidia Corporation
    • Company Overview
    • Hardware Acceleration Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing
  • 13.6 IBM Corporation
    • Company Overview
    • Hardware Acceleration Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing
  • 13.7 Xilinx
    • Company Overview
    • Hardware Acceleration Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing
  • 13.8 Oracle Corporation
    • Company Overview
    • Hardware Acceleration Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing

14. Appendix

  • 14.1 List of Figures
  • 14.2 List of Tables
  • 14.3 Research Methodology
  • 14.4 Disclaimer
  • 14.5 Copyright
  • 14.6 Abbreviations and Technical Units
  • 14.7 About Us
  • 14.8 Contact Us

List of Figures

  • Figure 1.1: Trends and Forecast for the Global Hardware Acceleration Market
  • Figure 2.1: Usage of Hardware Acceleration Market
  • Figure 2.2: Classification of the Global Hardware Acceleration Market
  • Figure 2.3: Supply Chain of the Global Hardware Acceleration Market
  • Figure 2.4: Driver and Challenges of the Hardware Acceleration Market
  • Figure 3.1: Trends of the Global GDP Growth Rate
  • Figure 3.2: Trends of the Global Population Growth Rate
  • Figure 3.3: Trends of the Global Inflation Rate
  • Figure 3.4: Trends of the Global Unemployment Rate
  • Figure 3.5: Trends of the Regional GDP Growth Rate
  • Figure 3.6: Trends of the Regional Population Growth Rate
  • Figure 3.7: Trends of the Regional Inflation Rate
  • Figure 3.8: Trends of the Regional Unemployment Rate
  • Figure 3.9: Trends of Regional Per Capita Income
  • Figure 3.10: Forecast for the Global GDP Growth Rate
  • Figure 3.11: Forecast for the Global Population Growth Rate
  • Figure 3.12: Forecast for the Global Inflation Rate
  • Figure 3.13: Forecast for the Global Unemployment Rate
  • Figure 3.14: Forecast for the Regional GDP Growth Rate
  • Figure 3.15: Forecast for the Regional Population Growth Rate
  • Figure 3.16: Forecast for the Regional Inflation Rate
  • Figure 3.17: Forecast for the Regional Unemployment Rate
  • Figure 3.18: Forecast for Regional Per Capita Income
  • Figure 4.1: Global Hardware Acceleration Market by Type in 2019, 2024, and 2031
  • Figure 4.2: Trends of the Global Hardware Acceleration Market ($B) by Type
  • Figure 4.3: Forecast for the Global Hardware Acceleration Market ($B) by Type
  • Figure 4.4: Trends and Forecast for Graphics Processing Unit in the Global Hardware Acceleration Market (2019-2031)
  • Figure 4.5: Trends and Forecast for Video Processing Unit in the Global Hardware Acceleration Market (2019-2031)
  • Figure 4.6: Trends and Forecast for AI Accelerator in the Global Hardware Acceleration Market (2019-2031)
  • Figure 4.7: Trends and Forecast for Regular Expression Accelerator in the Global Hardware Acceleration Market (2019-2031)
  • Figure 4.8: Trends and Forecast for Cryptographic Accelerator in the Global Hardware Acceleration Market (2019-2031)
  • Figure 4.9: Trends and Forecast for Others in the Global Hardware Acceleration Market (2019-2031)
  • Figure 5.1: Global Hardware Acceleration Market by Application in 2019, 2024, and 2031
  • Figure 5.2: Trends of the Global Hardware Acceleration Market ($B) by Application
  • Figure 5.3: Forecast for the Global Hardware Acceleration Market ($B) by Application
  • Figure 5.4: Trends and Forecast for Deep Learning Training in the Global Hardware Acceleration Market (2019-2031)
  • Figure 5.5: Trends and Forecast for Public Cloud Inference in the Global Hardware Acceleration Market (2019-2031)
  • Figure 5.6: Trends and Forecast for Enterprise Cloud Inference in the Global Hardware Acceleration Market (2019-2031)
  • Figure 5.7: Trends and Forecast for Others in the Global Hardware Acceleration Market (2019-2031)
  • Figure 6.1: Trends of the Global Hardware Acceleration Market ($B) by Region (2019-2024)
  • Figure 6.2: Forecast for the Global Hardware Acceleration Market ($B) by Region (2025-2031)
  • Figure 7.1: Trends and Forecast for the North American Hardware Acceleration Market (2019-2031)
  • Figure 7.2: North American Hardware Acceleration Market by Type in 2019, 2024, and 2031
  • Figure 7.3: Trends of the North American Hardware Acceleration Market ($B) by Type (2019-2024)
  • Figure 7.4: Forecast for the North American Hardware Acceleration Market ($B) by Type (2025-2031)
  • Figure 7.5: North American Hardware Acceleration Market by Application in 2019, 2024, and 2031
  • Figure 7.6: Trends of the North American Hardware Acceleration Market ($B) by Application (2019-2024)
  • Figure 7.7: Forecast for the North American Hardware Acceleration Market ($B) by Application (2025-2031)
  • Figure 7.8: Trends and Forecast for the United States Hardware Acceleration Market ($B) (2019-2031)
  • Figure 7.9: Trends and Forecast for the Mexican Hardware Acceleration Market ($B) (2019-2031)
  • Figure 7.10: Trends and Forecast for the Canadian Hardware Acceleration Market ($B) (2019-2031)
  • Figure 8.1: Trends and Forecast for the European Hardware Acceleration Market (2019-2031)
  • Figure 8.2: European Hardware Acceleration Market by Type in 2019, 2024, and 2031
  • Figure 8.3: Trends of the European Hardware Acceleration Market ($B) by Type (2019-2024)
  • Figure 8.4: Forecast for the European Hardware Acceleration Market ($B) by Type (2025-2031)
  • Figure 8.5: European Hardware Acceleration Market by Application in 2019, 2024, and 2031
  • Figure 8.6: Trends of the European Hardware Acceleration Market ($B) by Application (2019-2024)
  • Figure 8.7: Forecast for the European Hardware Acceleration Market ($B) by Application (2025-2031)
  • Figure 8.8: Trends and Forecast for the German Hardware Acceleration Market ($B) (2019-2031)
  • Figure 8.9: Trends and Forecast for the French Hardware Acceleration Market ($B) (2019-2031)
  • Figure 8.10: Trends and Forecast for the Spanish Hardware Acceleration Market ($B) (2019-2031)
  • Figure 8.11: Trends and Forecast for the Italian Hardware Acceleration Market ($B) (2019-2031)
  • Figure 8.12: Trends and Forecast for the United Kingdom Hardware Acceleration Market ($B) (2019-2031)
  • Figure 9.1: Trends and Forecast for the APAC Hardware Acceleration Market (2019-2031)
  • Figure 9.2: APAC Hardware Acceleration Market by Type in 2019, 2024, and 2031
  • Figure 9.3: Trends of the APAC Hardware Acceleration Market ($B) by Type (2019-2024)
  • Figure 9.4: Forecast for the APAC Hardware Acceleration Market ($B) by Type (2025-2031)
  • Figure 9.5: APAC Hardware Acceleration Market by Application in 2019, 2024, and 2031
  • Figure 9.6: Trends of the APAC Hardware Acceleration Market ($B) by Application (2019-2024)
  • Figure 9.7: Forecast for the APAC Hardware Acceleration Market ($B) by Application (2025-2031)
  • Figure 9.8: Trends and Forecast for the Japanese Hardware Acceleration Market ($B) (2019-2031)
  • Figure 9.9: Trends and Forecast for the Indian Hardware Acceleration Market ($B) (2019-2031)
  • Figure 9.10: Trends and Forecast for the Chinese Hardware Acceleration Market ($B) (2019-2031)
  • Figure 9.11: Trends and Forecast for the South Korean Hardware Acceleration Market ($B) (2019-2031)
  • Figure 9.12: Trends and Forecast for the Indonesian Hardware Acceleration Market ($B) (2019-2031)
  • Figure 10.1: Trends and Forecast for the ROW Hardware Acceleration Market (2019-2031)
  • Figure 10.2: ROW Hardware Acceleration Market by Type in 2019, 2024, and 2031
  • Figure 10.3: Trends of the ROW Hardware Acceleration Market ($B) by Type (2019-2024)
  • Figure 10.4: Forecast for the ROW Hardware Acceleration Market ($B) by Type (2025-2031)
  • Figure 10.5: ROW Hardware Acceleration Market by Application in 2019, 2024, and 2031
  • Figure 10.6: Trends of the ROW Hardware Acceleration Market ($B) by Application (2019-2024)
  • Figure 10.7: Forecast for the ROW Hardware Acceleration Market ($B) by Application (2025-2031)
  • Figure 10.8: Trends and Forecast for the Middle Eastern Hardware Acceleration Market ($B) (2019-2031)
  • Figure 10.9: Trends and Forecast for the South American Hardware Acceleration Market ($B) (2019-2031)
  • Figure 10.10: Trends and Forecast for the African Hardware Acceleration Market ($B) (2019-2031)
  • Figure 11.1: Porter's Five Forces Analysis of the Global Hardware Acceleration Market
  • Figure 11.2: Market Share (%) of Top Players in the Global Hardware Acceleration Market (2024)
  • Figure 12.1: Growth Opportunities for the Global Hardware Acceleration Market by Type
  • Figure 12.2: Growth Opportunities for the Global Hardware Acceleration Market by Application
  • Figure 12.3: Growth Opportunities for the Global Hardware Acceleration Market by Region
  • Figure 12.4: Emerging Trends in the Global Hardware Acceleration Market

List of Tables

  • Table 1.1: Growth Rate (%, 2023-2024) and CAGR (%, 2025-2031) of the Hardware Acceleration Market by Type and Application
  • Table 1.2: Attractiveness Analysis for the Hardware Acceleration Market by Region
  • Table 1.3: Global Hardware Acceleration Market Parameters and Attributes
  • Table 3.1: Trends of the Global Hardware Acceleration Market (2019-2024)
  • Table 3.2: Forecast for the Global Hardware Acceleration Market (2025-2031)
  • Table 4.1: Attractiveness Analysis for the Global Hardware Acceleration Market by Type
  • Table 4.2: Market Size and CAGR of Various Type in the Global Hardware Acceleration Market (2019-2024)
  • Table 4.3: Market Size and CAGR of Various Type in the Global Hardware Acceleration Market (2025-2031)
  • Table 4.4: Trends of Graphics Processing Unit in the Global Hardware Acceleration Market (2019-2024)
  • Table 4.5: Forecast for Graphics Processing Unit in the Global Hardware Acceleration Market (2025-2031)
  • Table 4.6: Trends of Video Processing Unit in the Global Hardware Acceleration Market (2019-2024)
  • Table 4.7: Forecast for Video Processing Unit in the Global Hardware Acceleration Market (2025-2031)
  • Table 4.8: Trends of AI Accelerator in the Global Hardware Acceleration Market (2019-2024)
  • Table 4.9: Forecast for AI Accelerator in the Global Hardware Acceleration Market (2025-2031)
  • Table 4.10: Trends of Regular Expression Accelerator in the Global Hardware Acceleration Market (2019-2024)
  • Table 4.11: Forecast for Regular Expression Accelerator in the Global Hardware Acceleration Market (2025-2031)
  • Table 4.12: Trends of Cryptographic Accelerator in the Global Hardware Acceleration Market (2019-2024)
  • Table 4.13: Forecast for Cryptographic Accelerator in the Global Hardware Acceleration Market (2025-2031)
  • Table 4.14: Trends of Others in the Global Hardware Acceleration Market (2019-2024)
  • Table 4.15: Forecast for Others in the Global Hardware Acceleration Market (2025-2031)
  • Table 5.1: Attractiveness Analysis for the Global Hardware Acceleration Market by Application
  • Table 5.2: Market Size and CAGR of Various Application in the Global Hardware Acceleration Market (2019-2024)
  • Table 5.3: Market Size and CAGR of Various Application in the Global Hardware Acceleration Market (2025-2031)
  • Table 5.4: Trends of Deep Learning Training in the Global Hardware Acceleration Market (2019-2024)
  • Table 5.5: Forecast for Deep Learning Training in the Global Hardware Acceleration Market (2025-2031)
  • Table 5.6: Trends of Public Cloud Inference in the Global Hardware Acceleration Market (2019-2024)
  • Table 5.7: Forecast for Public Cloud Inference in the Global Hardware Acceleration Market (2025-2031)
  • Table 5.8: Trends of Enterprise Cloud Inference in the Global Hardware Acceleration Market (2019-2024)
  • Table 5.9: Forecast for Enterprise Cloud Inference in the Global Hardware Acceleration Market (2025-2031)
  • Table 5.10: Trends of Others in the Global Hardware Acceleration Market (2019-2024)
  • Table 5.11: Forecast for Others in the Global Hardware Acceleration Market (2025-2031)
  • Table 6.1: Market Size and CAGR of Various Regions in the Global Hardware Acceleration Market (2019-2024)
  • Table 6.2: Market Size and CAGR of Various Regions in the Global Hardware Acceleration Market (2025-2031)
  • Table 7.1: Trends of the North American Hardware Acceleration Market (2019-2024)
  • Table 7.2: Forecast for the North American Hardware Acceleration Market (2025-2031)
  • Table 7.3: Market Size and CAGR of Various Type in the North American Hardware Acceleration Market (2019-2024)
  • Table 7.4: Market Size and CAGR of Various Type in the North American Hardware Acceleration Market (2025-2031)
  • Table 7.5: Market Size and CAGR of Various Application in the North American Hardware Acceleration Market (2019-2024)
  • Table 7.6: Market Size and CAGR of Various Application in the North American Hardware Acceleration Market (2025-2031)
  • Table 7.7: Trends and Forecast for the United States Hardware Acceleration Market (2019-2031)
  • Table 7.8: Trends and Forecast for the Mexican Hardware Acceleration Market (2019-2031)
  • Table 7.9: Trends and Forecast for the Canadian Hardware Acceleration Market (2019-2031)
  • Table 8.1: Trends of the European Hardware Acceleration Market (2019-2024)
  • Table 8.2: Forecast for the European Hardware Acceleration Market (2025-2031)
  • Table 8.3: Market Size and CAGR of Various Type in the European Hardware Acceleration Market (2019-2024)
  • Table 8.4: Market Size and CAGR of Various Type in the European Hardware Acceleration Market (2025-2031)
  • Table 8.5: Market Size and CAGR of Various Application in the European Hardware Acceleration Market (2019-2024)
  • Table 8.6: Market Size and CAGR of Various Application in the European Hardware Acceleration Market (2025-2031)
  • Table 8.7: Trends and Forecast for the German Hardware Acceleration Market (2019-2031)
  • Table 8.8: Trends and Forecast for the French Hardware Acceleration Market (2019-2031)
  • Table 8.9: Trends and Forecast for the Spanish Hardware Acceleration Market (2019-2031)
  • Table 8.10: Trends and Forecast for the Italian Hardware Acceleration Market (2019-2031)
  • Table 8.11: Trends and Forecast for the United Kingdom Hardware Acceleration Market (2019-2031)
  • Table 9.1: Trends of the APAC Hardware Acceleration Market (2019-2024)
  • Table 9.2: Forecast for the APAC Hardware Acceleration Market (2025-2031)
  • Table 9.3: Market Size and CAGR of Various Type in the APAC Hardware Acceleration Market (2019-2024)
  • Table 9.4: Market Size and CAGR of Various Type in the APAC Hardware Acceleration Market (2025-2031)
  • Table 9.5: Market Size and CAGR of Various Application in the APAC Hardware Acceleration Market (2019-2024)
  • Table 9.6: Market Size and CAGR of Various Application in the APAC Hardware Acceleration Market (2025-2031)
  • Table 9.7: Trends and Forecast for the Japanese Hardware Acceleration Market (2019-2031)
  • Table 9.8: Trends and Forecast for the Indian Hardware Acceleration Market (2019-2031)
  • Table 9.9: Trends and Forecast for the Chinese Hardware Acceleration Market (2019-2031)
  • Table 9.10: Trends and Forecast for the South Korean Hardware Acceleration Market (2019-2031)
  • Table 9.11: Trends and Forecast for the Indonesian Hardware Acceleration Market (2019-2031)
  • Table 10.1: Trends of the ROW Hardware Acceleration Market (2019-2024)
  • Table 10.2: Forecast for the ROW Hardware Acceleration Market (2025-2031)
  • Table 10.3: Market Size and CAGR of Various Type in the ROW Hardware Acceleration Market (2019-2024)
  • Table 10.4: Market Size and CAGR of Various Type in the ROW Hardware Acceleration Market (2025-2031)
  • Table 10.5: Market Size and CAGR of Various Application in the ROW Hardware Acceleration Market (2019-2024)
  • Table 10.6: Market Size and CAGR of Various Application in the ROW Hardware Acceleration Market (2025-2031)
  • Table 10.7: Trends and Forecast for the Middle Eastern Hardware Acceleration Market (2019-2031)
  • Table 10.8: Trends and Forecast for the South American Hardware Acceleration Market (2019-2031)
  • Table 10.9: Trends and Forecast for the African Hardware Acceleration Market (2019-2031)
  • Table 11.1: Product Mapping of Hardware Acceleration Suppliers Based on Segments
  • Table 11.2: Operational Integration of Hardware Acceleration Manufacturers
  • Table 11.3: Rankings of Suppliers Based on Hardware Acceleration Revenue
  • Table 12.1: New Product Launches by Major Hardware Acceleration Producers (2019-2024)
  • Table 12.2: Certification Acquired by Major Competitor in the Global Hardware Acceleration Market