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人工智慧加速器市场规模、占有率、成长及全球产业分析：依类型、应用和地区划分的洞察与预测（2024-2032 年）

AI Accelerator Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
出版日期: | 出版商: Fortune Business Insights Pvt. Ltd. | 英文 140 Pages | 商品交期: 请询问到货日

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人工智慧加速器市场成长推动因素

全球人工智慧加速器市场正经历前所未有的成长，这主要得益于人工智慧应用在各行业的快速扩张以及对高效能运算硬体的需求。 2024 年，该市场规模为 260.3 亿美元，预计到 2025 年将成长至 336.9 亿美元，到 2032 年将达到 2196.3 亿美元，预测期内复合年增长率高达 30.7%。这一快速成长的推动因素包括人工智慧的广泛应用、云端服务供应商对高效人工智慧晶片的强劲需求，以及生成式人工智慧和量子运算整合等技术创新。

人工智慧加速器，例如 GPU、TPU、ASIC、CPU 和 FPGA，是专门设计的硬件，用于执行人工智慧模型所需的复杂计算，从而加速训练和推理。边缘端而非集中式资料中心对即时资料处理的需求日益增长，进一步加速了人工智慧加速器的普及，而大规模云端运算的采用也推动了这项需求。主要产业参与者包括英伟达、AMD、英特尔、台积电、三星电子、苹果、Google、Meta、高通和 IBM。

生成式人工智慧的影响

生成式人工智慧的广泛应用正在推动人工智慧加速器的架构创新。预计到 2025 年，与 2024 年相比，生成式人工智慧相关专案的支出将成长 50%，从而实现人工智慧驱动的设计模拟和最佳化。 Synopsys.ai Copilot 等工具利用大规模语言模型 (LLM) 来简化晶片设计并实现高效的硬体解决方案。分析师预测，到 2025 年，用于驱动生成式人工智慧的晶片市场规模将达到 500 亿美元，到 2027 年将达到 7,000 亿美元，这将成为市场成长的强劲推动力。

市场推动因素

一个关键的市场推动因素是对高效能运算的需求不断增长，以处理人工智慧工作负载。标准 CPU 通常无法处理人工智慧模型所需的大规模矩阵运算。 GPU 因其平行处理能力而变得至关重要，而 ASIC 则因其能源效率和优化的效能而越来越受到云端服务供应商的青睐。汽车、金融、医疗保健和 IT 等行业中人工智慧模型的日益复杂化，正在推动对更专业化加速器的需求。

市场限制因子

儘管成长迅速，但人工智慧加速器硬体的高昂成本以及基础设施整合所需的大量初始投资仍然构成挑战。这些因素可能成为采用人工智慧加速器的障碍，尤其对于中小企业而言。安装成本、工作流程调整和维护成本可能会阻碍成本敏感地区的广泛应用。

市场机会

市场预计将受益于量子计算加速器的集成，这将显着提高计算效率。量子人工智慧加速器可望透过比传统硬体更快解决复杂问题，彻底改变材料科学、药物研发和密码学等产业。此外，随着企业寻求在保持高效能运算的同时降低能耗，节能型人工智慧硬体正日益受到关注。

区隔市场分析

依类型划分：GPU 因其在平行处理方面的高效性以及在各种人工智慧应用中的广泛使用，预计将在 2024 年占市场主导地位。 ASIC 预计将实现最高的复合年增长率，因为Google、Meta 和亚马逊等超大规模资料中心营运商正在将其应用于基于云端的人工智慧服务。

依技术划分：2024年，基于云端的区隔市场占主导地位，无需大规模部署本地硬体即可实现大规模人工智慧运算。受物联网设备、智慧型手机和自动驾驶汽车对即时本地处理需求的推动，边缘人工智慧预计将快速成长。

依应用划分：虽然诈欺侦测在2024年占主导地位，尤其是在金融系统中，但由于人工智慧驱动的导航和即时决策的广泛应用，自动驾驶汽车领域预计将实现最快的成长。

依最终用户划分，受对大量资料流管理和虚拟化网路功能的需求驱动，IT和通讯产业在2024年占主导地位。由于电动车和自动驾驶汽车的广泛应用，汽车产业预计将实现最高的复合年增长率。

区域展望

亚太地区将在2024年占最大占有率，市场规模将达到106亿美元。这主要得益于资料中心扩张、高速连接以及对人工智慧基础设施的大规模投资，尤其是在印度和中国。欧洲是第二大市场，其成长动力来自对人工智慧研发和工业自动化的投资。北美预计将实现最高的复合年增长率，这得益于该地区较早采用这项技术以及众多全球领先的人工智能公司的存在；而南美和中东及非洲地区由于基础设施和投资的限制，增长速度将较为缓慢，但战略性人工智能举措将为其发展提供支持。

目录

第一章：引言

第二章：摘要整理

第三章：市场动态

  • 宏观与微观经济指标
  • 推动因素、阻碍因素、机会与趋势
  • 生成式人工智慧的影响
  • 互惠关税对人工智慧加速器市场的影响

第四章：竞争格局

  • 主要公司采用的商业策略
  • 主要公司的综合SWOT分析
  • 全球人工智慧加速器公司市场占有率/排名（前3-5名）（2024年）

第五章 全球人工智慧加速器市场规模估算与预测（2019-2032）：依区隔市场划分

  • 主要发现
  • 依类型划分
    • 图形处理器 (GPU)
    • 张量处理器 (TPU)
    • 中央处理器 (CPU)
    • 专用积体电路 (ASIC)
    • 现场可程式闸阵列 (FPGA)
  • 依技术划分
    • 云端
    • 边缘人工智慧
  • 依应用程式划分
    • 诈欺侦测
    • 客户体验管理
    • 预测分析
    • 自动驾驶汽车
    • 智慧虚拟助手
    • 其他（例如，成本最佳化）
  • 依最终用途划分
    • IT 和电信
    • 银行、金融服务和保险 (BFSI)
    • 零售
    • 汽车
    • 医疗保健
    • 其他（例如，媒体和娱乐）
  • 依地区划分
    • 北美
    • 南美
    • 欧洲
    • 中东和非洲
    • 亚太地区

第六章：北美人工智慧加速器市场规模估算与预测（依区隔市场划分，2019-2032 年）

  • 依国家划分
    • 美国
    • 加拿大
    • 墨西哥

第七章：南美洲人工智慧加速器市场规模估算与预测（依区隔市场划分， 2019-2032)

  • 依国家划分
    • 巴西
    • 阿根廷
    • 其他南美国家

第八章 欧洲人工智慧加速器市场规模估算与预测（依区隔市场划分，2019-2032）

  • 依国家划分
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 比荷卢经济联盟
    • 北欧国家
    • 欧洲其他地区

第九章 中东与非洲人工智慧加速器市场规模估算与预测（依区隔市场划分， 2019-2032)

  • 依国家划分
    • 土耳其
    • 以色列
    • 海湾合作委员会
    • 北非
    • 南非
    • 中东和非洲其他地区

第十章：亚太地区人工智慧加速器市场规模估算与预测（依区隔市场划分，2019-2032）

  • 依国家划分
    • 中国
    • 日本
    • 印度
    • 韩国
    • 东协
    • 大洋洲
    • 其他亚太地区

第十一章：十大公司简介

  • Nvidia Corporation
  • AMD(Advanced Micro Devices)
  • Intel Corporation
  • TSMC(Taiwan Semiconductor Manufacturing Co.)
  • Samsung Electronics
  • Apple Inc.
  • Google LLC
  • Meta
  • Qualcomm Incorporated
  • IBM Corporation

第十二章：要点总结

Product Code: FBI113873

Growth Factors of AI accelerator Market

The global AI accelerator market is experiencing unprecedented growth, driven by the rapid expansion of artificial intelligence applications across industries and the need for high-performance computing hardware. Valued at USD 26.03 billion in 2024, the market is projected to grow to USD 33.69 billion in 2025 and reach USD 219.63 billion by 2032, registering a remarkable CAGR of 30.7% during the forecast period. The surge is fueled by increasing AI adoption, high demand for efficient AI chips by cloud providers, and technological innovations such as generative AI and quantum computing integration.

AI accelerators, including GPUs, TPUs, ASICs, CPUs, and FPGAs, are specialized hardware designed to perform the complex calculations required by AI models, enabling faster training and inference. The growing need for real-time data processing at the edge, rather than centralized data centers, has further accelerated the adoption of AI accelerators, while large-scale cloud computing deployments have strengthened demand. Major industry players include Nvidia Corporation, AMD, Intel Corporation, TSMC, Samsung Electronics, Apple, Google, Meta, Qualcomm, and IBM.

Impact of Generative AI

The proliferation of generative AI has driven innovation in AI accelerator architecture. Spending on generative AI initiatives is expected to rise by 50% in 2025 compared to 2024, enabling AI-driven design simulations and optimization. Tools like Synopsys.ai Copilot leverage large language models (LLMs) to streamline chip design, allowing for highly efficient hardware solutions. Analysts project that chips powering generative AI will reach USD 50 billion by 2025 and potentially USD 700 billion by 2027, indicating a strong catalyst for market growth.

Market Drivers

The primary market driver is the growing need for high-performance computing to handle AI workloads. Standard CPUs often fail to process the large-scale matrix operations required for AI models. GPUs have become integral due to their ability to perform parallel processing, and ASICs are increasingly preferred by cloud providers for their energy efficiency and optimized performance. The rising complexity of AI models across sectors such as automotive, finance, healthcare, and IT is driving demand for more specialized accelerators.

Market Restraints

Despite rapid growth, the high cost of AI accelerator hardware and the substantial initial investment required for infrastructure integration pose challenges, particularly for small and medium-sized enterprises. Installation, workflow adaptation, and maintenance costs may hinder adoption in cost-sensitive regions.

Market Opportunities

The market is poised to benefit from the integration of quantum computing accelerators, which promise significant computational efficiency gains. Quantum AI accelerators are expected to revolutionize industries such as material science, drug discovery, and cryptography by solving complex problems faster than traditional hardware. Additionally, the focus on energy-efficient AI hardware is gaining traction, as companies aim to reduce electricity consumption while sustaining high-performance computation.

Segmentation Analysis

By Type: In 2024, GPUs dominated the market due to their effectiveness in parallel processing and broad AI application usage. ASICs are expected to achieve the highest CAGR due to adoption by hyperscalers like Google, Meta, and Amazon for cloud-based AI services.

By Technology: The cloud-based segment led in 2024, supporting large-scale AI computations without extensive on-premise hardware. Edge AI is forecast to grow rapidly, driven by real-time local processing requirements in IoT devices, smartphones, and autonomous vehicles.

By Application: Fraud detection dominated in 2024, particularly in financial systems, while autonomous vehicles are expected to witness the fastest growth due to the increasing adoption of AI-powered navigation and real-time decision-making.

By End-Use: IT & Telecom dominated in 2024, driven by massive data flow management and virtualized network functions. The automotive sector is projected to achieve the highest CAGR, powered by electric and autonomous vehicle adoption.

Regional Outlook

Asia Pacific captured the largest share in 2024, with a market value of USD 10.60 billion, driven by data center expansions, high-speed connectivity, and significant investments in AI infrastructure, particularly in India and China. Europe follows as the second-largest market, with growth supported by investments in AI R&D and industrial automation. North America is expected to register the highest CAGR, owing to early technology adoption and the presence of major global AI players. South America and Middle East & Africa show moderate growth, constrained by infrastructure and investment limitations but supported by strategic AI initiatives.

Competitive Landscape

Key players such as Nvidia, AMD, Intel, TSMC, Samsung, Google, Meta, and IBM dominate the market through product innovation, strategic partnerships, and advanced R&D. Notable developments include Intel's Gaudi 3 AI accelerator launch in April 2024 and IBM-AMD collaborations in November 2024, emphasizing the market's rapid innovation cycle and strong investment potential.

The global AI accelerator market is set to expand from USD 26.03 billion in 2024 to USD 219.63 billion by 2032, driven by growing AI adoption, generative AI, quantum integration, and energy-efficient hardware development. This growth presents substantial opportunities for investors, enterprises, and tech innovators in the AI ecosystem.

Segmentation By Type

  • Graphics Processing Units (GPUs)
  • Tensor Processing Units (TPUs)
  • Central Processing Units (CPUs)
  • Application-Specific Integrated Circuits (ASICs)
  • Field-Programmable Gate Arrays (FPGAs)

By Technology

  • Cloud-Based
  • Edge AI

By Application

  • Fraud Detection
  • Customer Experience Management
  • Predictive Analytics
  • Autonomous Vehicles
  • Intelligent Virtual Assistants
  • Others (Cost Optimization, etc.)

By End-Use

  • IT & Telecom
  • BFSI
  • Retail
  • Automotive
  • Healthcare
  • Others (Media and Entertainment, etc.)

By Region

  • North America (By Type, Technology, Application, End-Use, and Country)
    • U.S. (By End-Use)
    • Canada (By End-Use)
    • Mexico (By End-Use)
  • South America (By Type, Technology, Application, End-Use, and Country)
    • Brazil (By End-Use)
    • Argentina (By End-Use)
    • Rest of South America
  • Europe (By Type, Technology, Application, End-Use, and Country)
    • U.K. (By End-Use)
    • Germany (By End-Use)
    • France (By End-Use)
    • Italy (By End-Use)
    • Spain (By End-Use)
    • Russia (By End-Use)
    • Benelux (By End-Use)
    • Nordics (By End-Use)
    • Rest of Europe
  • Middle East & Africa (By Type, Technology, Application, End-Use, and Country)
    • Turkey (By End-Use)
    • Israel (By End-Use)
    • GCC (By End-Use)
    • North Africa (By End-Use)
    • South Africa (By End-Use)
    • Rest of the Middle East & Africa
  • Asia Pacific (By Type, Technology, Application, End-Use, and Country)
    • China (By End-Use)
    • Japan (By End-Use)
    • India (By End-Use)
    • South Korea (By End-Use)
    • ASEAN (By End-Use)
    • Oceania (By End-Use)
    • Rest of Asia Pacific

Companies Profiled in the Report Nvidia Corporation (U.S.)

AMD (Advanced Micro Devices) (U.S.)

Intel Corporation (U.S.)

TSMC (Taiwan Semiconductor Manufacturing Co.) (Taiwan)

Samsung Electronics (South Korea)

Apple Inc. (U.S.)

Google LLC (U.S.)

Meta (U.S.)

Qualcomm Incorporated (U.S.)

IBM Corporation (U.S.)

Table of Content

1. Introduction

  • 1.1. Definition, By Segment
  • 1.2. Research Methodology/Approach
  • 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

  • 3.1. Macro and Micro Economic Indicators
  • 3.2. Drivers, Restraints, Opportunities and Trends
  • 3.3. Impact of Generative AI
  • 3.4. Impact of Reciprocal Tariffs on AI Accelerator Market

4. Competition Landscape

  • 4.1. Business Strategies Adopted by Key Players
  • 4.2. Consolidated SWOT Analysis of Key Players
  • 4.3. Global AI Accelerator Key Players (Top 3 - 5) Market Share/Ranking, 2024

5. Global AI Accelerator Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 5.1. Key Findings
  • 5.2. By Type (USD)
    • 5.2.1. Graphics Processing Units (GPUs)
    • 5.2.2. Tensor Processing Units (TPUs)
    • 5.2.3. Central Processing Units (CPUs)
    • 5.2.4. Application-Specific Integrated Circuits (ASICs)
    • 5.2.5. Field-Programmable Gate Arrays (FPGAs)
  • 5.3. By Technology (USD)
    • 5.3.1. Cloud-Based
    • 5.3.2. Edge AI
  • 5.4. By Application (USD)
    • 5.4.1. Fraud Detection
    • 5.4.2. Customer Experience Management
    • 5.4.3. Predictive Analytics
    • 5.4.4. Autonomous Vehicles
    • 5.4.5. Intelligent Virtual Assistants
    • 5.4.6. Others (Cost Optimization, etc.)
  • 5.5. By End-Use (USD)
    • 5.5.1. IT & Telecom
    • 5.5.2. BFSI
    • 5.5.3. Retail
    • 5.5.4. Automotive
    • 5.5.5. Healthcare
    • 5.5.6. Others (Media and Entertainment, etc.)
  • 5.6. By Region (USD)
    • 5.6.1. North America
    • 5.6.2. South America
    • 5.6.3. Europe
    • 5.6.4. Middle East & Africa
    • 5.6.5. Asia Pacific

6. North America AI Accelerator Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 6.1. Key Findings
  • 6.2. By Type (USD)
    • 6.2.1. Graphics Processing Units (GPUs)
    • 6.2.2. Tensor Processing Units (TPUs)
    • 6.2.3. Central Processing Units (CPUs)
    • 6.2.4. Application-Specific Integrated Circuits (ASICs)
    • 6.2.5. Field-Programmable Gate Arrays (FPGAs)
  • 6.3. By Technology (USD)
    • 6.3.1. Cloud-Based
    • 6.3.2. Edge AI
  • 6.4. By Application (USD)
    • 6.4.1. Fraud Detection
    • 6.4.2. Customer Experience Management
    • 6.4.3. Predictive Analytics
    • 6.4.4. Autonomous Vehicles
    • 6.4.5. Intelligent Virtual Assistants
    • 6.4.6. Others (Cost Optimization, etc.)
  • 6.5. By End-Use (USD)
    • 6.5.1. IT & Telecom
    • 6.5.2. BFSI
    • 6.5.3. Retail
    • 6.5.4. Automotive
    • 6.5.5. Healthcare
    • 6.5.6. Others (Media and Entertainment, etc.)
  • 6.6. By Country (USD)
    • 6.6.1. U.S.
      • 6.6.1.1. By End-Use
    • 6.6.2. Canada
      • 6.6.2.1. By End-Use
    • 6.6.3. Mexico
      • 6.6.3.1. By End-Use

7. South America AI Accelerator Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 7.1. Key Findings
  • 7.2. By Type (USD)
    • 7.2.1. Graphics Processing Units (GPUs)
    • 7.2.2. Tensor Processing Units (TPUs)
    • 7.2.3. Central Processing Units (CPUs)
    • 7.2.4. Application-Specific Integrated Circuits (ASICs)
    • 7.2.5. Field-Programmable Gate Arrays (FPGAs)
  • 7.3. By Technology (USD)
    • 7.3.1. Cloud-Based
    • 7.3.2. Edge AI
  • 7.4. By Application (USD)
    • 7.4.1. Fraud Detection
    • 7.4.2. Customer Experience Management
    • 7.4.3. Predictive Analytics
    • 7.4.4. Autonomous Vehicles
    • 7.4.5. Intelligent Virtual Assistants
    • 7.4.6. Others (Cost Optimization, etc.)
  • 7.5. By End-Use (USD)
    • 7.5.1. IT & Telecom
    • 7.5.2. BFSI
    • 7.5.3. Retail
    • 7.5.4. Automotive
    • 7.5.5. Healthcare
    • 7.5.6. Others (Media and Entertainment, etc.)
  • 7.6. By Country (USD)
    • 7.6.1. Brazil
      • 7.6.1.1. By End-Use
    • 7.6.2. Argentina
      • 7.6.2.1. By End-Use
    • 7.6.3. Rest of South America

8. Europe AI Accelerator Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 8.1. Key Findings
  • 8.2. By Type (USD)
    • 8.2.1. Graphics Processing Units (GPUs)
    • 8.2.2. Tensor Processing Units (TPUs)
    • 8.2.3. Central Processing Units (CPUs)
    • 8.2.4. Application-Specific Integrated Circuits (ASICs)
    • 8.2.5. Field-Programmable Gate Arrays (FPGAs)
  • 8.3. By Technology (USD)
    • 8.3.1. Cloud-Based
    • 8.3.2. Edge AI
  • 8.4. By Application (USD)
    • 8.4.1. Fraud Detection
    • 8.4.2. Customer Experience Management
    • 8.4.3. Predictive Analytics
    • 8.4.4. Autonomous Vehicles
    • 8.4.5. Intelligent Virtual Assistants
    • 8.4.6. Others (Cost Optimization, etc.)
  • 8.5. By End-Use (USD)
    • 8.5.1. IT & Telecom
    • 8.5.2. BFSI
    • 8.5.3. Retail
    • 8.5.4. Automotive
    • 8.5.5. Healthcare
    • 8.5.6. Others (Media and Entertainment, etc.)
  • 8.6. By Country (USD)
    • 8.6.1. U.K.
      • 8.6.1.1. By End-Use
    • 8.6.2. Germany
      • 8.6.2.1. By End-Use
    • 8.6.3. France
      • 8.6.3.1. By End-Use
    • 8.6.4. Italy
      • 8.6.4.1. By End-Use
    • 8.6.5. Spain
      • 8.6.5.1. By End-Use
    • 8.6.6. Russia
      • 8.6.6.1. By End-Use
    • 8.6.7. Benelux
      • 8.6.7.1. By End-Use
    • 8.6.8. Nordics
      • 8.6.8.1. By End-Use
    • 8.6.9. Rest of Europe

9. Middle East & Africa AI Accelerator Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 9.1. Key Findings
  • 9.2. By Type (USD)
    • 9.2.1. Graphics Processing Units (GPUs)
    • 9.2.2. Tensor Processing Units (TPUs)
    • 9.2.3. Central Processing Units (CPUs)
    • 9.2.4. Application-Specific Integrated Circuits (ASICs)
    • 9.2.5. Field-Programmable Gate Arrays (FPGAs)
  • 9.3. By Technology (USD)
    • 9.3.1. Cloud-Based
    • 9.3.2. Edge AI
  • 9.4. By Application (USD)
    • 9.4.1. Fraud Detection
    • 9.4.2. Customer Experience Management
    • 9.4.3. Predictive Analytics
    • 9.4.4. Autonomous Vehicles
    • 9.4.5. Intelligent Virtual Assistants
    • 9.4.6. Others (Cost Optimization, etc.)
  • 9.5. By End-Use (USD)
    • 9.5.1. IT & Telecom
    • 9.5.2. BFSI
    • 9.5.3. Retail
    • 9.5.4. Automotive
    • 9.5.5. Healthcare
    • 9.5.6. Others (Media and Entertainment, etc.)
  • 9.6. By Country (USD)
    • 9.6.1. Turkey
      • 9.6.1.1. By End-Use
    • 9.6.2. Israel
      • 9.6.2.1. By End-Use
    • 9.6.3. GCC
      • 9.6.3.1. By End-Use
    • 9.6.4. North Africa
      • 9.6.4.1. By End-Use
    • 9.6.5. South Africa
      • 9.6.5.1. By End-Use
    • 9.6.6. Rest of Middle East & Africa

10. Asia Pacific AI Accelerator Market Size Estimates and Forecasts, By Segments, 2019-2032

  • 10.1. Key Findings
  • 10.2. By Type (USD)
    • 10.2.1. Graphics Processing Units (GPUs)
    • 10.2.2. Tensor Processing Units (TPUs)
    • 10.2.3. Central Processing Units (CPUs)
    • 10.2.4. Application-Specific Integrated Circuits (ASICs)
    • 10.2.5. Field-Programmable Gate Arrays (FPGAs)
  • 10.3. By Technology (USD)
    • 10.3.1. Cloud-Based
    • 10.3.2. Edge AI
  • 10.4. By Application (USD)
    • 10.4.1. Fraud Detection
    • 10.4.2. Customer Experience Management
    • 10.4.3. Predictive Analytics
    • 10.4.4. Autonomous Vehicles
    • 10.4.5. Intelligent Virtual Assistants
    • 10.4.6. Others (Cost Optimization, etc.)
  • 10.5. By End-Use (USD)
    • 10.5.1. IT & Telecom
    • 10.5.2. BFSI
    • 10.5.3. Retail
    • 10.5.4. Automotive
    • 10.5.5. Healthcare
    • 10.5.6. Others (Media and Entertainment, etc.)
  • 10.6. By Country (USD)
    • 10.6.1. China
      • 10.6.1.1. By End-Use
    • 10.6.2. Japan
      • 10.6.2.1. By End-Use
    • 10.6.3. India
      • 10.6.3.1. By End-Use
    • 10.6.4. South Korea
      • 10.6.4.1. By End-Use
    • 10.6.5. ASEAN
      • 10.6.5.1. By End-Use
    • 10.6.6. Oceania
      • 10.6.6.1. By End-Use
    • 10.6.7. Rest of Asia Pacific

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

  • 11.1. Nvidia Corporation
    • 11.1.1. Overview
      • 11.1.1.1. Key Management
      • 11.1.1.2. Headquarters
      • 11.1.1.3. Offerings/Business Segments
    • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.1.2.1. Employee Size
      • 11.1.2.2. Past and Current Revenue
      • 11.1.2.3. Geographical Share
      • 11.1.2.4. Business Segment Share
      • 11.1.2.5. Recent Developments
  • 11.2. AMD (Advanced Micro Devices)
    • 11.2.1. Overview
      • 11.2.1.1. Key Management
      • 11.2.1.2. Headquarters
      • 11.2.1.3. Offerings/Business Segments
    • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.2.2.1. Employee Size
      • 11.2.2.2. Past and Current Revenue
      • 11.2.2.3. Geographical Share
      • 11.2.2.4. Business Segment Share
      • 11.2.2.5. Recent Developments
  • 11.3. Intel Corporation
    • 11.3.1. Overview
      • 11.3.1.1. Key Management
      • 11.3.1.2. Headquarters
      • 11.3.1.3. Offerings/Business Segments
    • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.3.2.1. Employee Size
      • 11.3.2.2. Past and Current Revenue
      • 11.3.2.3. Geographical Share
      • 11.3.2.4. Business Segment Share
      • 11.3.2.5. Recent Developments
  • 11.4. TSMC (Taiwan Semiconductor Manufacturing Co.)
    • 11.4.1. Overview
      • 11.4.1.1. Key Management
      • 11.4.1.2. Headquarters
      • 11.4.1.3. Offerings/Business Segments
    • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.4.2.1. Employee Size
      • 11.4.2.2. Past and Current Revenue
      • 11.4.2.3. Geographical Share
      • 11.4.2.4. Business Segment Share
      • 11.4.2.5. Recent Developments
  • 11.5. Samsung Electronics
    • 11.5.1. Overview
      • 11.5.1.1. Key Management
      • 11.5.1.2. Headquarters
      • 11.5.1.3. Offerings/Business Segments
    • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.5.2.1. Employee Size
      • 11.5.2.2. Past and Current Revenue
      • 11.5.2.3. Geographical Share
      • 11.5.2.4. Business Segment Share
      • 11.5.2.5. Recent Developments
  • 11.6. Apple Inc.
    • 11.6.1. Overview
      • 11.6.1.1. Key Management
      • 11.6.1.2. Headquarters
      • 11.6.1.3. Offerings/Business Segments
    • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.6.2.1. Employee Size
      • 11.6.2.2. Past and Current Revenue
      • 11.6.2.3. Geographical Share
      • 11.6.2.4. Business Segment Share
      • 11.6.2.5. Recent Developments
  • 11.7. Google LLC
    • 11.7.1. Overview
      • 11.7.1.1. Key Management
      • 11.7.1.2. Headquarters
      • 11.7.1.3. Offerings/Business Segments
    • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.7.2.1. Employee Size
      • 11.7.2.2. Past and Current Revenue
      • 11.7.2.3. Geographical Share
      • 11.7.2.4. Business Segment Share
      • 11.7.2.5. Recent Developments
  • 11.8. Meta
    • 11.8.1. Overview
      • 11.8.1.1. Key Management
      • 11.8.1.2. Headquarters
      • 11.8.1.3. Offerings/Business Segments
    • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.8.2.1. Employee Size
      • 11.8.2.2. Past and Current Revenue
      • 11.8.2.3. Geographical Share
      • 11.8.2.4. Business Segment Share
      • 11.8.2.5. Recent Developments
  • 11.9. Qualcomm Incorporated
    • 11.9.1. Overview
      • 11.9.1.1. Key Management
      • 11.9.1.2. Headquarters
      • 11.9.1.3. Offerings/Business Segments
    • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.9.2.1. Employee Size
      • 11.9.2.2. Past and Current Revenue
      • 11.9.2.3. Geographical Share
      • 11.9.2.4. Business Segment Share
      • 11.9.2.5. Recent Developments
  • 11.10. IBM Corporation
    • 11.10.1. Overview
      • 11.10.1.1. Key Management
      • 11.10.1.2. Headquarters
      • 11.10.1.3. Offerings/Business Segments
    • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.10.2.1. Employee Size
      • 11.10.2.2. Past and Current Revenue
      • 11.10.2.3. Geographical Share
      • 11.10.2.4. Business Segment Share
      • 11.10.2.5. Recent Developments

12. Key Takeaways

List of Tables

  • Table 1: Global AI Accelerator Market Size Estimates and Forecasts, 2019 - 2032
  • Table 2: Global AI Accelerator Market Size Estimates and Forecasts, By Type, 2019 - 2032
  • Table 3: Global AI Accelerator Market Size Estimates and Forecasts, By Technology, 2019 - 2032
  • Table 4: Global AI Accelerator Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 5: Global AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 6: Global AI Accelerator Market Size Estimates and Forecasts, By Region, 2019 - 2032
  • Table 7: North America AI Accelerator Market Size Estimates and Forecasts, 2019 - 2032
  • Table 8: North America AI Accelerator Market Size Estimates and Forecasts, By Type, 2019 - 2032
  • Table 9: North America AI Accelerator Market Size Estimates and Forecasts, By Technology, 2019 - 2032
  • Table 10: North America AI Accelerator Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 11: North America AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 12: North America AI Accelerator Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 13: U.S. AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 14: Canada AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 15: Mexico AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 16: South America AI Accelerator Market Size Estimates and Forecasts, 2019 - 2032
  • Table 17: South America AI Accelerator Market Size Estimates and Forecasts, By Type, 2019 - 2032
  • Table 18: South America AI Accelerator Market Size Estimates and Forecasts, By Technology, 2019 - 2032
  • Table 19: South America AI Accelerator Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 20: South America AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 21: South America AI Accelerator Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 22: Brazil AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 23: Argentina AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 24: Europe AI Accelerator Market Size Estimates and Forecasts, 2019 - 2032
  • Table 25: Europe AI Accelerator Market Size Estimates and Forecasts, By Type, 2019 - 2032
  • Table 26: Europe AI Accelerator Market Size Estimates and Forecasts, By Technology, 2019 - 2032
  • Table 27: Europe AI Accelerator Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 28: Europe AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 29: Europe AI Accelerator Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 30: U.K. AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 31: Germany AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 32: France AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 33: Italy AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 34: Spain AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 35: Russia AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 36: Benelux AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 37: Nordics AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 38: Middle East & Africa AI Accelerator Market Size Estimates and Forecasts, 2019 - 2032
  • Table 39: Middle East & Africa AI Accelerator Market Size Estimates and Forecasts, By Type, 2019 - 2032
  • Table 40: Middle East & Africa AI Accelerator Market Size Estimates and Forecasts, By Technology, 2019 - 2032
  • Table 41: Middle East & Africa AI Accelerator Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 42: Middle East & Africa AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 43: Middle East & Africa AI Accelerator Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 44: Turkey AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 45: Israel AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 46: GCC AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 47: North Africa AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 48: South Africa AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 49: Asia Pacific AI Accelerator Market Size Estimates and Forecasts, 2019 - 2032
  • Table 50: Asia Pacific AI Accelerator Market Size Estimates and Forecasts, By Type, 2019 - 2032
  • Table 51: Asia Pacific AI Accelerator Market Size Estimates and Forecasts, By Technology, 2019 - 2032
  • Table 52: Asia Pacific AI Accelerator Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 53: Asia Pacific AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 54: Asia Pacific AI Accelerator Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 55: China AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 56: Japan AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 57: India Pacific AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 58: South Korea AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 59: ASEAN AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032
  • Table 60: Oceania Asia AI Accelerator Market Size Estimates and Forecasts, By End-Use, 2019 - 2032

List of Figures

  • Figure 1: Global AI Accelerator Market Revenue Share (%), 2024 and 2032
  • Figure 2: Global AI Accelerator Market Revenue Share (%), By Type, 2024 and 2032
  • Figure 3: Global AI Accelerator Market Revenue Share (%), By Technology, 2024 and 2032
  • Figure 4: Global AI Accelerator Market Revenue Share (%), By Application, 2024 and 2032
  • Figure 5: Global AI Accelerator Market Revenue Share (%), By End-Use, 2024 and 2032
  • Figure 6: Global AI Accelerator Market Revenue Share (%), By Region, 2024 and 2032
  • Figure 7: North America AI Accelerator Market Revenue Share (%), 2024 and 2032
  • Figure 8: North America AI Accelerator Market Revenue Share (%), By Type, 2024 and 2032
  • Figure 9: North America AI Accelerator Market Revenue Share (%), By Technology, 2024 and 2032
  • Figure 10: North America AI Accelerator Market Revenue Share (%), By Application, 2024 and 2032
  • Figure 11: North America AI Accelerator Market Revenue Share (%), By End-Use, 2024 and 2032
  • Figure 12: North America AI Accelerator Market Revenue Share (%), By Country, 2024 and 2032
  • Figure 13: South America AI Accelerator Market Revenue Share (%), 2024 and 2032
  • Figure 14: South America AI Accelerator Market Revenue Share (%), By Type, 2024 and 2032
  • Figure 15: South America AI Accelerator Market Revenue Share (%), By Technology, 2024 and 2032
  • Figure 16: South America AI Accelerator Market Revenue Share (%), By Application, 2024 and 2032
  • Figure 17: South America AI Accelerator Market Revenue Share (%), By End-Use, 2024 and 2032
  • Figure 18: South America AI Accelerator Market Revenue Share (%), By Country, 2024 and 2032
  • Figure 19: Europe AI Accelerator Market Revenue Share (%), 2024 and 2032
  • Figure 20: Europe AI Accelerator Market Revenue Share (%), By Type, 2024 and 2032
  • Figure 21: Europe AI Accelerator Market Revenue Share (%), By Technology, 2024 and 2032
  • Figure 22: Europe AI Accelerator Market Revenue Share (%), By Application, 2024 and 2032
  • Figure 23: Europe AI Accelerator Market Revenue Share (%), By End-Use, 2024 and 2032
  • Figure 24: Europe AI Accelerator Market Revenue Share (%), By Country, 2024 and 2032
  • Figure 25: Middle East & Africa AI Accelerator Market Revenue Share (%), 2024 and 2032
  • Figure 26: Middle East & Africa AI Accelerator Market Revenue Share (%), By Type, 2024 and 2032
  • Figure 27: Middle East & Africa AI Accelerator Market Revenue Share (%), By Technology, 2024 and 2032
  • Figure 28: Middle East & Africa AI Accelerator Market Revenue Share (%), By Application, 2024 and 2032
  • Figure 29: Middle East & Africa AI Accelerator Market Revenue Share (%), By End-Use, 2024 and 2032
  • Figure 30: Middle East & Africa AI Accelerator Market Revenue Share (%), By Country, 2024 and 2032
  • Figure 31: Asia Pacific AI Accelerator Market Revenue Share (%), 2024 and 2032
  • Figure 32: Asia Pacific AI Accelerator Market Revenue Share (%), By Type, 2024 and 2032
  • Figure 33: Asia Pacific AI Accelerator Market Revenue Share (%), By Technology, 2024 and 2032
  • Figure 34: Asia Pacific AI Accelerator Market Revenue Share (%), By Application, 2024 and 2032
  • Figure 35: Asia Pacific AI Accelerator Market Revenue Share (%), By End-Use, 2024 and 2032
  • Figure 36: Asia Pacific AI Accelerator Market Revenue Share (%), By Country, 2024 and 2032
  • Figure 37: Global AI Accelerator Key Players' Market Share/Ranking (%), 2024