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市場調查報告書
商品編碼
2149593

人工智慧加速器和人工智慧半導體市場預測至2034年－全球分析（按加速器架構、處理能力、記憶體架構、運算環境、最終用戶和地區分類）

AI Accelerator & AI Semiconductor Market Forecasts to 2034 - Global Analysis By Accelerator Architecture, Processing Function, Memory Architecture, Computing Environment, End User and Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球人工智慧加速器和人工智慧半導體市場規模將達到 450 億美元，並在預測期內以 26.0% 的複合年成長率成長，到 2034 年將達到 2850 億美元。

人工智慧加速器和人工智慧半導體市場涵蓋了專為高效運行人工智慧 (AI) 和機器學習工作負載而設計的專用半導體裝置。這些元件包括 GPU、AI 加速器、神經處理單元 (NPU)、張量處理架構、專用積體電路 (ASIC) 以及其他針對平行和矩陣運算最佳化的處理器。它們應用於模型訓練、推理、生成式人工智慧、電腦視覺、自然語言處理、機器人和資料分析等領域。人工智慧半導體旨在提供高運算吞吐量，同時兼顧功耗、記憶體頻寬和資料傳輸。人工智慧工作負載的快速成長推動了對日益專業化的架構的需求。製程節點、高頻寬記憶體、晶片整合和先進封裝技術的進步正在提升加速器的效能。其應用領域正在不斷擴展，涵蓋資料中心、企業系統、自動駕駛技術和消費性電子設備。

市場動態

人工智慧在業界的應用不斷擴展

人工智慧在各行各業的日益普及，正推動著對人工智慧加速器和人工智慧半導體前所未有的需求，這些設備能夠支援人工智慧的訓練和推理。人工智慧模型的日益複雜，尤其是大規模語言模型和多模態人工智慧，需要具備強大運算能力的專用處理器。超大規模雲端服務供應商對人工智慧基礎設施的持續投入，也為市場擴張提供了支援。生成式人工智慧、電腦視覺和自然語言處理等人工智慧應用的持續成長，正在推動處理器需求。企業在業務應用上對人工智慧的採用，也正在加速市場成長。

高昂的開發成本和供應限制

先進人工智慧半導體的高昂研發成本是一大障礙，限制了市場參與企業，只有財力雄厚的公司才能進入。先進製造能力和高頻寬記憶體的供應限制正在影響市場成長。人工智慧半導體領域的人才短缺限制了產業擴張。高效能人工智慧處理器的能耗和溫度控管挑戰影響了其應用。地緣政治緊張局勢和出口限制可能會擾亂供應鏈。

生成式人工智慧與大規模推理

生成式人工智慧的日益普及為針對推理工作負載最佳化的AI加速器創造了巨大的機會。專用於邊緣和設備端AI的AI處理器的開發正在催生新的市場機會。 AI向新產業和應用領域的拓展，催生了對多樣化AI半導體解決方案的需求。晶片組和先進封裝技術的進步正在推動新型AI處理器架構的出現。不斷擴展的AI軟體框架生態系統正在為市場發展提供支撐。

競爭與科技快速進步

人工智慧半導體供應商之間的激烈競爭可能會對價格和利潤率造成壓力。技術的快速發展可能導致現有產品過時。經濟壓力可能會影響對人工智慧基礎設施的投資。地緣政治緊張局勢可能會擾亂供應鏈和市場准入。對人工智慧的監管審查可能會影響某些應用領域的需求。

新型冠狀病毒（COVID-19）的影響：

新冠感染疾病加速了數位轉型和人工智慧（AI）的普及，從而催生了對AI加速器和AI半導體前所未有的需求。遠距辦公、電子商務和數位服務的蓬勃發展進一步推動了對AI應用的需求。疫情後，對AI基礎設施的投資持續成長，支撐了市場發展。對AI能力的持續關注也帶動了處理器需求。 AI半導體正日益被視為確保競爭優勢的關鍵。

在預測期內，圖形處理器（GPU）細分市場預計將佔據最大的市場佔有率。

由於GPU（圖形處理器）在人工智慧訓練和推理方面所需的多功能性和高效能，預計在預測期內將佔據最大的市場佔有率。 GPU在訓練大規模語言模型方面的日益普及正在推動市場成長。 GPU架構的進步正在提升人工智慧的效能和效率。成熟的軟體生態系統和開發團體也為該領域的領先地位提供了支持。 GPU是人工智慧加速器需求的主要驅動力。

預計在預測期內，人工智慧推理領域將呈現最高的複合年成長率。

在預測期內，人工智慧推理領域預計將呈現最高的成長率，這主要得益於人工智慧模型在生產應用中日益廣泛的部署。對大規模推理日益成長的需求也推動了該領域的成長。推理最佳化處理器的進步正在提升效能並降低成本。人工智慧向邊緣和設備端應用的擴展正在創造新的推理機會。人工智慧推理在實現人工智慧價值方面正變得日益重要。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於該地區擁有眾多大型人工智慧半導體公司和超大規模雲端服務供應商。美國擁有完善的人工智慧基礎設施，匯聚了領先的人工智慧加速器供應商和人工智慧模型開發公司。對人工智慧研發的大量投資正在鞏固該地區的市場領導地位。企業對人工智慧的日益普及正在推動處理器需求的成長。北美在人工智慧創新和應用方面處於領先地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於人工智慧的快速普及、雲端基礎設施的擴張以及半導體製造業的成長。中國、日本和韓國正在大力投資人工智慧能力和半導體生產。消費性電子和汽車應用領域對人工智慧日益成長的需求正在加速市場成長。該地區人工智慧生態系統的發展也為市場擴張提供了支持。

免費客製化服務：

所有購買此報告的客戶均可從以下免費自訂選項中選擇一項：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶的興趣，我們將提供主要國家的市場估算和預測，以及複合年成長率（註：需經可行性確認）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章：執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球人工智慧加速器與人工智慧半導體市場：按加速器架構分類

  • 圖形處理器（GPU）
  • 張量處理單元（TPU）
  • 神經處理單元（NPU）
  • 專用積體電路（ASIC）
  • 現場可程式閘陣列
  • 其他加速器架構

第6章 全球人工智慧加速器和人工智慧半導體市場：按處理功能分類

  • 人工智慧訓練
  • 人工智慧推理
  • 推薦流程
  • 電腦視覺處理
  • 自然語言處理
  • 其他處理功能

第7章 全球人工智慧加速器和人工智慧半導體市場：按記憶體架構分類

  • 高頻寬內存
  • 雙倍資料速率記憶體用於圖形
  • 嵌入式記憶體
  • 快取記憶體
  • 統一記憶體
  • 其他記憶體架構

第8章 全球人工智慧加速器和人工智慧半導體市場：按運算環境分類

  • 雲端資料中心
  • 企業資料中心
  • 高效能運算系統
  • 人工智慧工作站
  • 人工智慧伺服器
  • 其他計算環境

第9章 全球人工智慧加速器和人工智慧半導體市場：按最終用戶分類

  • 超大規模雲端供應商
  • 企業技術公司
  • AI模型開發人員
  • 研究機構
  • 系統整合商
  • 其他最終用戶

第10章 全球人工智慧加速器和人工智慧半導體市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • NVIDIA Corporation
  • Advanced Micro Devices, Inc.
  • Intel Corporation
  • Alphabet Inc.
  • Amazon.com, Inc.
  • Microsoft Corporation
  • IBM Corporation
  • Qualcomm Incorporated
  • Broadcom Inc.
  • Marvell Technology, Inc.
  • Graphcore Ltd.
  • Cerebras Systems Inc.
  • Groq, Inc.
  • Arm Holdings plc
  • Huawei Technologies Co., Ltd.
Product Code: SMRC40082

According to Stratistics MRC, the Global AI Accelerator & AI Semiconductor Market is accounted for $45.0 billion in 2026 and is expected to reach $285.0 billion by 2034 growing at a CAGR of 26.0% during the forecast period. AI Accelerator & AI Semiconductor encompasses specialized semiconductor devices designed to execute artificial intelligence and machine learning workloads efficiently. These devices include GPUs, AI accelerators, neural processing units, tensor-processing architectures, application-specific integrated circuits, and other processors optimized for parallel computation and matrix operations. They are used for model training, inference, generative AI, computer vision, natural language processing, robotics, and data analytics. AI semiconductors are designed to deliver high computational throughput while managing power consumption, memory bandwidth, and data movement. Rapid growth in AI workloads is driving demand for increasingly specialized architectures. Innovations in advanced process nodes, high-bandwidth memory, chiplet integration, and advanced packaging are improving accelerator performance. Data centers, enterprise systems, autonomous technologies, and consumer devices are expanding the application base.

Market Dynamics

Driver:

Growing AI adoption across industries

Increasing adoption of artificial intelligence across industries is driving unprecedented demand for AI accelerators and AI semiconductors that enable AI training and inference. Growing complexity of AI models, particularly large language models and multimodal AI, requires specialized processors with massive computational capacity. Rising investment in AI infrastructure by hyperscale cloud providers supports market expansion. Continued growth in AI applications including generative AI, computer vision, and natural language processing drives processor demand. Enterprise adoption of AI for business applications accelerates market growth.

Restraint:

High development costs and supply constraints

High development costs for advanced AI semiconductors present significant barriers, limiting market participation to well-capitalized companies. Supply constraints for advanced manufacturing capacity and high-bandwidth memory affect market growth. Limited availability of AI semiconductor talent constrains industry expansion. Energy consumption and thermal management challenges for high-performance AI processors affect deployment. Geopolitical tensions and export controls may disrupt supply chains.

Opportunity:

Generative AI and inference at scale

Growing adoption of generative AI creates significant opportunities for AI accelerators optimized for inference workloads. Development of specialized AI processors for edge and on-device AI enables new market opportunities. Expansion of AI to new industries and applications creates demand for diverse AI semiconductor solutions. Advances in chiplet and advanced packaging technology enable new AI processor architectures. Growing ecosystem of AI software frameworks supports market development.

Threat:

Competition and rapid technology evolution

Intense competition among AI semiconductor vendors may pressure pricing and margins. Rapid technology evolution creates obsolescence risk for existing products. Economic pressures may affect AI infrastructure investment. Geopolitical tensions may disrupt supply chains and market access. Regulatory scrutiny of AI may affect demand in certain applications.

Covid-19 Impact:

The COVID-19 pandemic accelerated digital transformation and AI adoption, driving unprecedented demand for AI accelerators and AI semiconductors. Remote work, e-commerce, and digital services increased demand for AI-powered applications. The post-pandemic period has witnessed sustained investment in AI infrastructure, supporting market growth. Growing focus on AI capabilities continues driving processor demand. AI semiconductors are increasingly recognized as critical for competitive advantage.

The graphics processing units segment is expected to be the largest during the forecast period

The graphics processing units segment is expected to account for the largest market share during the forecast period as GPUs offer the versatility and performance required for both AI training and inference. Growing adoption of GPUs for large language model training drives market expansion. Advances in GPU architecture improve AI performance and efficiency. Established software ecosystem and developer community support segment leadership. GPUs are the primary driver of AI accelerator demand.

The AI inference segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the AI inference segment is predicted to witness the highest growth rate driven by increasing deployment of AI models in production applications. Growing demand for inference at scale supports segment growth. Advances in inference-optimized processors improve performance and reduce cost. Expansion of AI to edge and on-device applications creates new inference opportunities. AI inference is increasingly critical for realizing AI value.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share owing to presence of leading AI semiconductor companies and hyperscale cloud providers. The United States hosts major AI accelerator vendors and AI model developers with extensive AI infrastructure. High investment in AI research and development reinforces regional market leadership. Growing enterprise AI adoption drives processor demand. North America leads in AI innovation and deployment.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by rapid AI adoption, growing cloud infrastructure, and expanding semiconductor manufacturing. China, Japan, and South Korea are investing heavily in AI capabilities and semiconductor production. Growing demand for AI in consumer electronics and automotive applications accelerates market growth. Regional AI ecosystem development supports market expansion.

Key players in the market

Some of the key players in the AI Accelerator & AI Semiconductor Market include NVIDIA Corporation, Advanced Micro Devices, Inc., Intel Corporation, Alphabet Inc., Amazon.com, Inc., Microsoft Corporation, IBM Corporation, Qualcomm Incorporated, Broadcom Inc., Marvell Technology, Inc., Graphcore Ltd., Cerebras Systems Inc., Groq, Inc., Arm Holdings plc, and Huawei Technologies Co., Ltd.

Key Developments:

In September 2026, NVIDIA Corporation launched its next-generation AI accelerator featuring advanced high-bandwidth memory and improved performance for large language model training and inference.

In May 2026, Advanced Micro Devices, Inc. introduced a new AI accelerator for data center inference applications, offering improved performance per watt.

In January 2026, Intel Corporation announced the launch of a new AI accelerator for enterprise AI workloads, featuring advanced memory architecture.

In August 2025, Google LLC introduced a new tensor processing unit for AI training at scale, offering improved performance and efficiency.

Accelerator Architectures Covered:

  • Graphics Processing Units
  • Tensor Processing Units
  • Neural Processing Units
  • Application-Specific Integrated Circuits
  • Field-Programmable Gate Arrays
  • Other Accelerator Architectures

Processing Functions Covered:

  • AI Training
  • AI Inference
  • Recommendation Processing
  • Computer Vision Processing
  • Natural Language Processing
  • Other Processing Functions

Memory Architectures Covered:

  • High-Bandwidth Memory
  • Graphics Double Data Rate Memory
  • Embedded Memory
  • Cache Memory
  • Unified Memory
  • Other Memory Architectures

Computing Environments Covered:

  • Cloud Data Centers
  • Enterprise Data Centers
  • High-Performance Computing Systems
  • AI Workstations
  • AI Servers
  • Other Computing Environments

End Users Covered:

  • Hyperscale Cloud Providers
  • Enterprise Technology Companies
  • AI Model Developers
  • Research Institutions
  • System Integrators
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI Accelerator & AI Semiconductor Market, By Accelerator Architecture

  • 5.1 Graphics Processing Units
  • 5.2 Tensor Processing Units
  • 5.3 Neural Processing Units
  • 5.4 Application-Specific Integrated Circuits
  • 5.5 Field-Programmable Gate Arrays
  • 5.6 Other Accelerator Architectures

6 Global AI Accelerator & AI Semiconductor Market, By Processing Function

  • 6.1 AI Training
  • 6.2 AI Inference
  • 6.3 Recommendation Processing
  • 6.4 Computer Vision Processing
  • 6.5 Natural Language Processing
  • 6.6 Other Processing Functions

7 Global AI Accelerator & AI Semiconductor Market, By Memory Architecture

  • 7.1 High-Bandwidth Memory
  • 7.2 Graphics Double Data Rate Memory
  • 7.3 Embedded Memory
  • 7.4 Cache Memory
  • 7.5 Unified Memory
  • 7.6 Other Memory Architectures

8 Global AI Accelerator & AI Semiconductor Market, By Computing Environment

  • 8.1 Cloud Data Centers
  • 8.2 Enterprise Data Centers
  • 8.3 High-Performance Computing Systems
  • 8.4 AI Workstations
  • 8.5 AI Servers
  • 8.6 Other Computing Environments

9 Global AI Accelerator & AI Semiconductor Market, By End User

  • 9.1 Hyperscale Cloud Providers
  • 9.2 Enterprise Technology Companies
  • 9.3 AI Model Developers
  • 9.4 Research Institutions
  • 9.5 System Integrators
  • 9.6 Other End Users

10 Global AI Accelerator & AI Semiconductor Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 NVIDIA Corporation
  • 13.2 Advanced Micro Devices, Inc.
  • 13.3 Intel Corporation
  • 13.4 Alphabet Inc.
  • 13.5 Amazon.com, Inc.
  • 13.6 Microsoft Corporation
  • 13.7 IBM Corporation
  • 13.8 Qualcomm Incorporated
  • 13.9 Broadcom Inc.
  • 13.10 Marvell Technology, Inc.
  • 13.11 Graphcore Ltd.
  • 13.12 Cerebras Systems Inc.
  • 13.13 Groq, Inc.
  • 13.14 Arm Holdings plc
  • 13.15 Huawei Technologies Co., Ltd.

List of Tables

  • Table 1 Global AI Accelerator & AI Semiconductor Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI Accelerator & AI Semiconductor Market, By Accelerator Architecture (2023-2034) ($MN)
  • Table 3 Global AI Accelerator & AI Semiconductor Market, By Graphics Processing Units (2023-2034) ($MN)
  • Table 4 Global AI Accelerator & AI Semiconductor Market, By Tensor Processing Units (2023-2034) ($MN)
  • Table 5 Global AI Accelerator & AI Semiconductor Market, By Neural Processing Units (2023-2034) ($MN)
  • Table 6 Global AI Accelerator & AI Semiconductor Market, By Application-Specific Integrated Circuits (2023-2034) ($MN)
  • Table 7 Global AI Accelerator & AI Semiconductor Market, By Field-Programmable Gate Arrays (2023-2034) ($MN)
  • Table 8 Global AI Accelerator & AI Semiconductor Market, By Other Accelerator Architectures (2023-2034) ($MN)
  • Table 9 Global AI Accelerator & AI Semiconductor Market, By Processing Function (2023-2034) ($MN)
  • Table 10 Global AI Accelerator & AI Semiconductor Market, By AI Training (2023-2034) ($MN)
  • Table 11 Global AI Accelerator & AI Semiconductor Market, By AI Inference (2023-2034) ($MN)
  • Table 12 Global AI Accelerator & AI Semiconductor Market, By Recommendation Processing (2023-2034) ($MN)
  • Table 13 Global AI Accelerator & AI Semiconductor Market, By Computer Vision Processing (2023-2034) ($MN)
  • Table 14 Global AI Accelerator & AI Semiconductor Market, By Natural Language Processing (2023-2034) ($MN)
  • Table 15 Global AI Accelerator & AI Semiconductor Market, By Other Processing Functions (2023-2034) ($MN)
  • Table 16 Global AI Accelerator & AI Semiconductor Market, By Memory Architecture (2023-2034) ($MN)
  • Table 17 Global AI Accelerator & AI Semiconductor Market, By High-Bandwidth Memory (2023-2034) ($MN)
  • Table 18 Global AI Accelerator & AI Semiconductor Market, By Graphics Double Data Rate Memory (2023-2034) ($MN)
  • Table 19 Global AI Accelerator & AI Semiconductor Market, By Embedded Memory (2023-2034) ($MN)
  • Table 20 Global AI Accelerator & AI Semiconductor Market, By Cache Memory (2023-2034) ($MN)
  • Table 21 Global AI Accelerator & AI Semiconductor Market, By Unified Memory (2023-2034) ($MN)
  • Table 22 Global AI Accelerator & AI Semiconductor Market, By Other Memory Architectures (2023-2034) ($MN)
  • Table 23 Global AI Accelerator & AI Semiconductor Market, By Computing Environment (2023-2034) ($MN)
  • Table 24 Global AI Accelerator & AI Semiconductor Market, By Cloud Data Centers (2023-2034) ($MN)
  • Table 25 Global AI Accelerator & AI Semiconductor Market, By Enterprise Data Centers (2023-2034) ($MN)
  • Table 26 Global AI Accelerator & AI Semiconductor Market, By High-Performance Computing Systems (2023-2034) ($MN)
  • Table 27 Global AI Accelerator & AI Semiconductor Market, By AI Workstations (2023-2034) ($MN)
  • Table 28 Global AI Accelerator & AI Semiconductor Market, By AI Servers (2023-2034) ($MN)
  • Table 29 Global AI Accelerator & AI Semiconductor Market, By Other Computing Environments (2023-2034) ($MN)
  • Table 30 Global AI Accelerator & AI Semiconductor Market, By End User (2023-2034) ($MN)
  • Table 31 Global AI Accelerator & AI Semiconductor Market, By Hyperscale Cloud Providers (2023-2034) ($MN)
  • Table 32 Global AI Accelerator & AI Semiconductor Market, By Enterprise Technology Companies (2023-2034) ($MN)
  • Table 33 Global AI Accelerator & AI Semiconductor Market, By AI Model Developers (2023-2034) ($MN)
  • Table 34 Global AI Accelerator & AI Semiconductor Market, By Research Institutions (2023-2034) ($MN)
  • Table 35 Global AI Accelerator & AI Semiconductor Market, By System Integrators (2023-2034) ($MN)
  • Table 36 Global AI Accelerator & AI Semiconductor Market, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.