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人工智慧加速器市場規模、佔有率、成長及全球產業分析：依類型、應用和地區劃分的洞察與預測（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: 請詢問到貨日

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人工智慧加速器市場成長推動因素

全球人工智慧加速器市場正經歷前所未有的成長，這主要得益於人工智慧應用在各行業的快速擴張以及對高效能運算硬體的需求。 2024 年，該市場規模為 260.3 億美元，預計到 2025 年將成長至 336.9 億美元，到 2032 年將達到 2196.3 億美元，預測期內複合年增長率高達 30.7%。這一快速成長的推動因素包括人工智慧的廣泛應用、雲端服務供應商對高效人工智慧晶片的強勁需求，以及生成式人工智慧和量子運算整合等技術創新。

人工智慧加速器，例如 GPU、TPU、ASIC、CPU 和 FPGA，是專門設計的硬件，用於執行人工智慧模型所需的複雜計算，從而加速訓練和推理。邊緣端而非集中式資料中心對即時資料處理的需求日益增長，進一步加速了人工智慧加速器的普及，而大規模雲端運算的採用也推動了這項需求。主要產業參與者包括英偉達、AMD、英特爾、台積電、三星電子、蘋果、Google、Meta、高通和 IBM。

生成式人工智慧的影響

生成式人工智慧的廣泛應用正在推動人工智慧加速器的架構創新。預計到 2025 年，與 2024 年相比，生成式人工智慧相關專案的支出將成長 50%，從而實現人工智慧驅動的設計模擬和最佳化。 Synopsys.ai Copilot 等工具利用大規模語言模型 (LLM) 來簡化晶片設計並實現高效的硬體解決方案。分析師預測，到 2025 年，用於驅動生成式人工智慧的晶片市場規模將達到 500 億美元，到 2027 年將達到 7,000 億美元，這將成為市場成長的強勁推動力。

市場推動因素

一個關鍵的市場推動因素是對高效能運算的需求不斷增長，以處理人工智慧工作負載。標準 CPU 通常無法處理人工智慧模型所需的大規模矩陣運算。 GPU 因其平行處理能力而變得至關重要，而 ASIC 則因其能源效率和優化的效能而越來越受到雲端服務供應商的青睞。汽車、金融、醫療保健和 IT 等行業中人工智慧模型的日益複雜化，正在推動對更專業化加速器的需求。

市場限制因子

儘管成長迅速，但人工智慧加速器硬體的高昂成本以及基礎設施整合所需的大量初始投資仍然構成挑戰。這些因素可能成為採用人工智慧加速器的障礙，尤其對於中小企業而言。安裝成本、工作流程調整和維護成本可能會阻礙成本敏感地區的廣泛應用。

市場機會

市場預計將受益於量子計算加速器的集成，這將顯著提高計算效率。量子人工智慧加速器可望透過比傳統硬體更快解決複雜問題，徹底改變材料科學、藥物研發和密碼學等產業。此外，隨著企業尋求在保持高效能運算的同時降低能耗，節能型人工智慧硬體正日益受到關注。

區隔市場分析

依類型劃分：GPU 因其在平行處理方面的高效性以及在各種人工智慧應用中的廣泛使用，預計將在 2024 年佔市場主導地位。 ASIC 預計將實現最高的複合年增長率，因為Google、Meta 和亞馬遜等超大規模資料中心營運商正在將其應用於基於雲端的人工智慧服務。

依技術劃分：2024年，基於雲端的區隔市場佔主導地位，無需大規模部署本地硬體即可實現大規模人工智慧運算。受物聯網設備、智慧型手機和自動駕駛汽車對即時本地處理需求的推動，邊緣人工智慧預計將快速成長。

依應用劃分：雖然詐欺偵測在2024年佔主導地位，尤其是在金融系統中，但由於人工智慧驅動的導航和即時決策的廣泛應用，自動駕駛汽車領域預計將實現最快的成長。

依最終用戶劃分，受對大量資料流管理和虛擬化網路功能的需求驅動，IT和通訊產業在2024年佔主導地位。由於電動車和自動駕駛汽車的廣泛應用，汽車產業預計將實現最高的複合年增長率。

區域展望

亞太地區將在2024年佔最大佔有率，市場規模將達到106億美元。這主要得益於資料中心擴張、高速連接以及對人工智慧基礎設施的大規模投資，尤其是在印度和中國。歐洲是第二大市場，其成長動力來自對人工智慧研發和工業自動化的投資。北美預計將實現最高的複合年增長率，這得益於該地區較早採用這項技術以及眾多全球領先的人工智能公司的存在；而南美和中東及非洲地區由於基礎設施和投資的限制，增長速度將較為緩慢，但戰略性人工智能舉措將為其發展提供支持。

目錄

第一章：引言

第二章：摘要整理

第三章：市場動態

  • 宏觀與微觀經濟指標
  • 推動因素、阻礙因素、機會與趨勢
  • 生成式人工智慧的影響
  • 互惠關稅對人工智慧加速器市場的影響

第四章：競爭格局

  • 主要公司採用的商業策略
  • 主要公司的綜合SWOT分析
  • 全球人工智慧加速器公司市場佔有率/排名（前3-5名）（2024年）

第五章 全球人工智慧加速器市場規模估算與預測（2019-2032）：依區隔市場劃分

  • 主要發現
  • 依類型劃分
    • 圖形處理器 (GPU)
    • 張量處理器 (TPU)
    • 中央處理器 (CPU)
    • 專用積體電路 (ASIC)
    • 現場可程式閘陣列 (FPGA)
  • 依技術劃分
    • 雲端
    • 邊緣人工智慧
  • 依應用程式劃分
    • 詐欺偵測
    • 客戶體驗管理
    • 預測分析
    • 自動駕駛汽車
    • 智慧虛擬助手
    • 其他（例如，成本最佳化）
  • 依最終用途劃分
    • IT 和電信
    • 銀行、金融服務和保險 (BFSI)
    • 零售
    • 汽車
    • 醫療保健
    • 其他（例如，媒體和娛樂）
  • 依地區劃分
    • 北美
    • 南美
    • 歐洲
    • 中東和非洲
    • 亞太地區

第六章：北美人工智慧加速器市場規模估算與預測（依區隔市場劃分，2019-2032 年）

  • 依國家劃分
    • 美國
    • 加拿大
    • 墨西哥

第七章：南美洲人工智慧加速器市場規模估算與預測（依區隔市場劃分， 2019-2032)

  • 依國家劃分
    • 巴西
    • 阿根廷
    • 其他南美國家

第八章 歐洲人工智慧加速器市場規模估算與預測（依區隔市場劃分，2019-2032）

  • 依國家劃分
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 比荷盧經濟聯盟
    • 北歐國家
    • 歐洲其他地區

第九章 中東與非洲人工智慧加速器市場規模估算與預測（依區隔市場劃分， 2019-2032)

  • 依國家劃分
    • 土耳其
    • 以色列
    • 海灣合作委員會
    • 北非
    • 南非
    • 中東和非洲其他地區

第十章：亞太地區人工智慧加速器市場規模估算與預測（依區隔市場劃分，2019-2032）

  • 依國家劃分
    • 中國
    • 日本
    • 印度
    • 韓國
    • 東協
    • 大洋洲
    • 其他亞太地區

第十一章：十大公司簡介

  • 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：要點總結

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