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AIアクセラレータの世界市場（2025年～2035年）

Global AI Accelerator Market 2025-2035

出版日
ページ情報
英文 180 Pages
納期
2～3営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.06円
AIアクセラレータの世界市場（2025年～2035年）
出版日: 2025年02月28日
発行: Orion Market Research
ページ情報: 英文 180 Pages
納期: 2～3営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 図表
  • 目次
概要

AIアクセラレータの市場規模は、2024年の236億米ドルから2035年には3,952億米ドルに達し、予測期間（2025年～2035年）のCAGRは29.4%になると予測されています。AIと機械学習の需要は、ヘルスケア、金融、自動車、小売業界で高まっています。大規模なデータセットにはAIアクセラレータが必要であり、より洗練されたモデルにはAIの進化と迅速な実行のための特定のハードウェアが要求されるからです。アマゾン、マイクロソフト、グーグルなどの大手クラウド・サービス・プロバイダーは、リアルタイムの処理需要に対応するため、AIアクセラレータをクラウド・コンピューティングやエッジ・コンピューティングに統合しています。直接的な投資に加え、政府のイニシアチブもAI開発を加速させており、AIアクセラレータの需要を後押ししています。AWS、Microsoft Azure、Google Cloudなどを含む複数のクラウドサービスプロバイダーが、AIワークロードのパフォーマンス向上に役立つアクセラレーションサービスを提供しています。

AIアクセラレータは、AIワークロードを高速化するためにクラウドコンピューティングで使用され、機械学習モデルの迅速なトレーニングと推論を可能にします。AIアクセラレータは、AIをクラウド環境に統合する際に、ディープラーニングのような計算集約的なタスクに対して、性能と効率の向上を提供します。2024年11月、IBMとAMDは協業し、Gen AIモデルや高性能コンピューティング・アプリケーション向けに、パフォーマンスと電力効率を優先したAMD Instinct MI300XアクセラレータをIBM Cloud上でサービスとして提供します。この協業は、IBMのWatson AIおよびデータ・プラットフォームとRed Hat Enterprise LinuxのAI推論内でAMD Instinct MI300Xアクセラレータをサポートしました。

エッジ・コンピューティングの拡大

世界のAIアクセラレータ市場は、AIベースのアプリケーションに必要なハードウェアと処理能力を供給することで、エッジコンピューティングの発展に関与しています。GPU、TPU、FPGAなどのデバイスは、現場での効果的なAI処理を促進し、クラウドリソースへの依存を減らし、待ち時間を短縮します。AIアクセラレータの需要は、自律システム、IoT、スマートシティ構想などの分野におけるAIインフラへの大規模な支出の結果として高まっています。エッジコンピューティングは、自律走行車やスマートシティなどでリアルタイムのデータ分析を可能にし、データの緊密な処理により市場の成長を促進します。2024年5月、Couchbaseは上級IT意思決定者500人を対象とした調査を発表し、企業がAIやエッジコンピューティングなどの新技術を活用して生産性向上の要求に応えようとしていることから、IT近代化への投資は2024年に27％増加すると推定しています。

当レポートでは、世界のAIアクセラレータ市場について調査し、市場の概要とともに、タイプ別、技術統合別、エンドユーザー別、地域別の動向、および市場に参入する企業のプロファイルなどを提供しています。

目次

第1章 報告書のサマリー

第2章 市場概要と洞察

第3章 市場の決定要因

  • 市場促進要因
  • 市場の問題点と課題
  • 市場機会

第4章 競合情勢

  • 競合ダッシュボード-AIアクセラレータ市場のメーカー別収益とシェア
  • AIアクセラレータ製品比較分析
  • 市場の主要参入企業のランキングマトリックス
  • 主要企業分析
  • Advanced Micro Devices, Inc.
  • IBM Corp
  • Intel Corp
  • NVIDIA Corp.
  • 市場参入企業による主な成功戦略
    • 合併と買収
    • 製品発売
    • パートナーシップとコラボレーション

第5章 世界のAIアクセラレータ市場（100万米ドル）、タイプ別

  • グラフィックスプロセッシングユニット（GPU）
  • テンソルプロセッシングユニット（TPU）
  • 特定用途向け集積回路（ASIC）
  • 中央処理装置（CPU）
  • フィールドプログラマブルゲートアレイ（FPGA）

第6章 世界のAIアクセラレータ市場（100万米ドル）、技術統合別

  • クラウドベースのAIアクセラレータ
  • エッジAIアクセラレータ

第7章 世界のAIアクセラレータ市場（100万米ドル）、エンドユーザー別

  • IT・通信
  • ヘルスケア
  • 自動車
  • 金融
  • 小売り
  • その他（政府・防衛）

第8章 地域分析

  • 北米
  • 欧州
  • アジア太平洋
  • その他の地域

第9章 企業プロファイル

  • Alibaba Group
  • Advanced Micro Devices, Inc.
  • Amazon Web Services, Inc.
  • Apple, Inc.
  • Arm Ltd.
  • Cerebras Systems, Inc.
  • Fujitsu, Ltd.
  • Google, LLC
  • Graphcore（SoftBank）
  • Groq, Inc.
  • Huawei Technologies Co., Ltd.
  • IBM Corp.
  • Intel Corp.
  • Lightmatter
  • Marvell Technology, Inc.
  • Micron Technology, Inc.
  • NeuroBlade
  • NVIDIA Corp.
  • NXP Semiconductors N.V.
  • Samsung Electronics Co., Ltd.
  • Tenstorrent
図表

LIST OF TABLES

  • 1. Global AI Accelerator Market Research and Analysis by Type, 2024-2035 ($ Million)
  • 2. Global Graphics Processing Units (GPUs) In AI Accelerator Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 3. Global Tensor Processing Units (TPUs) In AI Accelerator Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 4. Global Application-Specific Integrated Circuits (ASICs) In AI Accelerator Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 5. Global Central Processing Units (CPUs) In AI Accelerator Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 6. Global Field-Programmable Gate Arrays (FPGAs) In AI Accelerator Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 7. Global Tensor Processing Units (TPUs) In AI Accelerator Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 8. Global AI Accelerator Market Research and Analysis by Technology Integration, 2024-2035 ($ Million)
  • 9. Global Cloud-Based AI Accelerator Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 10. Global Edge AI Accelerator Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 11. Global AI Accelerator Market Research and Analysis by End-User, 2024-2035 ($ Million)
  • 12. Global AI Accelerator for IT & Telecom Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 13. Global AI Accelerator for Healthcare Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 14. Global AI Accelerator for Automotive Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 15. Global AI Accelerator for Finance Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 16. Global AI Accelerator for Retail Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 17. Global AI Accelerator for Other End-User Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 18. Global AI Accelerator Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 19. North American AI Accelerator Market Research and Analysis by Country, 2024-2035 ($ Million)
  • 20. North American AI Accelerator Market Research and Analysis by Type, 2024-2035 ($ Million)
  • 21. North American AI Accelerator Market Research and Analysis by Technology Integration, 2024-2035 ($ Million)
  • 22. North American AI Accelerator Market Research and Analysis by End-User, 2024-2035 ($ Million)
  • 23. European AI Accelerator Market Research and Analysis by Country, 2024-2035 ($ Million)
  • 24. European AI Accelerator Market Research and Analysis by Type, 2024-2035 ($ Million)
  • 25. European AI Accelerator Market Research and Analysis by Technology Integration, 2024-2035 ($ Million)
  • 26. European AI Accelerator Market Research and Analysis by End-User, 2024-2035 ($ Million)
  • 27. Asia-Pacific AI Accelerator Market Research and Analysis by Country, 2024-2035 ($ Million)
  • 28. Asia-Pacific AI Accelerator Market Research and Analysis by Type, 2024-2035 ($ Million)
  • 29. Asia-Pacific AI Accelerator Market Research and Analysis by Technology Integration, 2024-2035 ($ Million)
  • 30. Asia-Pacific AI Accelerator Market Research and Analysis by End-User, 2024-2035 ($ Million)
  • 31. Rest Of the World AI Accelerator Market Research and Analysis by Region, 2024-2035 ($ Million)
  • 32. Rest Of the World AI Accelerator Market Research and Analysis by Type, 2024-2035 ($ Million)
  • 33. Rest of the World AI Accelerator Market Research and Analysis by Technology Integration, 2024-2035 ($ Million)
  • 34. Rest Of the World AI Accelerator Market Research and Analysis by End-User, 2024-2035 ($ Million)

LIST OF FIGURES

  • 1. Global AI Accelerator Market Share by Type, 2024 Vs 2035 (%)
  • 2. Global Graphics Processing Units (GPUs) In AI Accelerator Market Share by Region, 2024 Vs 2035 (%)
  • 3. Global Tensor Processing Units (TPUs) In AI Accelerator Market Share by Region, 2024 Vs 2035 (%)
  • 4. Global Application-Specific Integrated Circuits (ASICs) In AI Accelerator Market Share by Region, 2024 Vs 2035 (%)
  • 5. Global Central Processing Units (CPUs) In AI Accelerator Market Share by Region, 2024 Vs 2035 (%)
  • 6. Global Field-Programmable Gate Arrays (FPGAs) In AI Accelerator Market Share by Region, 2024 Vs 2035 (%)
  • 7. Global AI Accelerator Market Share by Technology Integration, 2024 Vs 2035 (%)
  • 8. Global Cloud-Based AI Accelerator Market Share by Region, 2024 Vs 2035 (%)
  • 9. Global Edge AI Accelerator Market Share by Region, 2024 Vs 2035 (%)
  • 10. Global AI Accelerator Market Share by End-user, 2024 Vs 2035 (%)
  • 11. Global AI Accelerator for IT & Telecom Market Share by Region, 2024 Vs 2035 (%)
  • 12. Global AI Accelerator for Healthcare Market Share by Region, 2024 Vs 2035 (%)
  • 13. Global AI Accelerator for Automotive Market Share by Region, 2024 Vs 2035 (%)
  • 14. Global AI Accelerator for Finance Market Share by Region, 2024 Vs 2035 (%)
  • 15. Global AI Accelerator for Retail Market Share by Region, 2024 Vs 2035 (%)
  • 16. Global AI Accelerator for Other End User Market Share By Region, 2024 Vs 2035 (%)
  • 17. Global AI Accelerator Market Share by Region, 2024 Vs 2035 (%)
  • 18. US AI Accelerator Market Size, 2024-2035 ($ Million)
  • 19. Canada AI Accelerator Market Size, 2024-2035 ($ Million)
  • 20. UK AI Accelerator Market Size, 2024-2035 ($ Million)
  • 21. France AI Accelerator Market Size, 2024-2035 ($ Million)
  • 22. Germany AI Accelerator Market Size, 2024-2035 ($ Million)
  • 23. Italy AI Accelerator Market Size, 2024-2035 ($ Million)
  • 24. Spain AI Accelerator Market Size, 2024-2035 ($ Million)
  • 25. Russia AI Accelerator Market Size, 2024-2035 ($ Million)
  • 26. Rest Of Europe AI Accelerator Market Size, 2024-2035 ($ Million)
  • 27. India AI Accelerator Market Size, 2024-2035 ($ Million)
  • 28. China AI Accelerator Market Size, 2024-2035 ($ Million)
  • 29. Japan AI Accelerator Market Size, 2024-2035 ($ Million)
  • 30. South Korea AI Accelerator Market Size, 2024-2035 ($ Million)
  • 31. Australia & New Zealand AI Accelerator Market Size, 2024-2035 ($ Million)
  • 32. ASEAN Countries AI Accelerator Market Size, 2024-2035 ($ Million)
  • 33. Rest Of Asia-Pacific AI Accelerator Market Size, 2024-2035 ($ Million)
  • 34. Latin America AI Accelerator Market Size, 2024-2035 ($ Million)
  • 35. Middle East and Africa AI Accelerator Market Size, 2024-2035 ($ Million)
目次
Product Code: OMR2028840

AI Accelerator Market Size, Share & Trends Analysis Report by Type (Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), Application-Specific Integrated Circuits (ASICs), Central Processing Units (CPUs), Field-Programmable Gate Arrays (FPGAs)), and by Technology Integration (Cloud-Based AI Accelerators, and Edge AI Accelerators) and by End-User (IT & Telecom, Healthcare, Automotive, Finance, Retail, and Others) Forecast Period (2025-2035)

AI accelerator market is anticipated to reach $395.2 billion in 2035 from $23.6 billion in 2024, growing at a CAGR of 29.4% during the forecast period (2025-2035). The demand for AI and machine learning is growing in healthcare, finance, automotive, and retail industries. Large datasets necessitate AI accelerators since more sophisticated models demand AI evolution and specific hardware for quick executions. Major cloud service providers such as Amazon, Microsoft, and Google are integrating AI accelerators into cloud computing and edge computing to meet real-time processing demands. Government initiatives, in addition to direct investment, are accelerating AI development, driving the demand for AI accelerators. Several cloud service providers, including AWS, Microsoft Azure, Google Cloud, and more, are providing acceleration services for AI workloads that will help increase performance.

Market Dynamics

Integrations with AI Platforms & Cloud services

AI accelerators are used in cloud computing to expedite AI workloads, enabling faster training and inference of machine learning models. AI accelerators offer improved performance and efficiency when integrating AI into the cloud environment, for computationally intensive tasks such as deep learning. In November 2024, IBM and AMD collaborated to offer the AMD Instinct MI300X accelerators as a service on IBM Cloud, with performance and power efficiency as priorities for Gen AI models and high-performance computing applications. The collaboration supported AMD Instinct MI300X accelerators within IBM's Watson AI and data platform and Red Hat Enterprise Linux AI inferencing.

Expansion of Edge Computing

The global AI accelerator market is involved in advancing edge computing by supplying the hardware and processing power required for AI-based applications. Devices such as GPUs, TPUs, and FPGAs facilitate effective AI processing on-site, decreasing reliance on cloud resources and cutting down latency. The demand for AI accelerators is rising as a result of large expenditures in AI infrastructure in areas such as autonomous systems, IoT, and smart city initiatives. Edge computing, allows real-time data analysis in applications such as autonomous vehicles and smart cities, driving market growth owing to its closer processing of data. In May 2024, Couchbase released a survey of 500 senior IT decision makers estimating the investment in IT modernization to rise by 27% in 2024 as companies aim to leverage emerging technologies such as AI and edge computing to meet increasing productivity demands.

Market Segmentation

  • Based on the type, the market is segmented into Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), Application-Specific Integrated Circuits (ASICs), Central Processing Units (CPUs), and Field-Programmable Gate Arrays (FPGAs).
  • Based on technology integration, the market is segmented into cloud-based AI accelerators and edge AI accelerators.
  • Based on the end user, the market is segmented into IT & telecom, healthcare, automotive, finance, retail, and others (government and defense).

IT & Telecom Segment to Hold a Considerable Market Share

AI is being utilized in the IT and telecom industries to enhance performance, efficiency, and customer service. In these sectors, AI is applied for network optimization, customer support, predictive maintenance, cybersecurity, and analytics. It aids in network management, boosts customer service, and streamline operations, while additionally offering real-time threat detection, data security, and personalized marketing strategies. The AI accelerator market, incorporating hardware and software solutions, enhances AI workload performance. Its key components include GPUs and TPUs that are vital for data processing and edge computing in telecom.

Regional Outlook

The global AI accelerator market is segmented based on geography including North America (the US, and Canada), Europe (the UK, Germany, France, Italy, Spain, Germany, France, Russia, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, Australia and New Zealand, ASEAN Countries, and the Rest of Asia-Pacific), and the Rest of the World (the Middle East & Africa, and Latin America).

Asia-Pacific Holds Major Market Share

Asia-Pacific holds a significant share owing to governments and organizations promoting AI adoption through funding for startups, public-private partnerships, and investment in AI education and workforce development. For instance, in September 2024, AWS selected seven Indian Gen AI startups for its Global Generative AI Accelerator program, which was the largest number from any single country in the Asia-Pacific region. The Indian companies are some of the 80 picked around the globe based on advanced AI usage and global growth intentions. AWS invested $230 million in startups to accelerate the generative AI applications. Indian AI and ML companies attracted $82 billion in 2024, while Asia-Pacific-based companies could raise $2.5 billion.

Market Players Outlook

The major companies serving the AI accelerator market include Advanced Micro Devices, Inc., IBM Corp., Intel Corp., NVIDIA Corp., Samsung Electronics Co., Ltd., and others. The market players are increasingly focusing on business expansion and product development by applying strategies such as collaborations, mergers and acquisitions to stay competitive in the market.

Recent Developments

  • In December 2024, MemryX showcased its MX3 AI Accelerator at CES 2025, showcasing its industry-leading performance, efficiency, and versatility in real-world Edge AI applications. Demos include 100 Simultaneous Video Streams, Industry 4.0, Yolo-World, and GPU comparison, showcasing the MX3 Edge AI performance advantage while using less power than mainstream NVIDIA GPU.

The Report Covers:

  • Market value data analysis of 2024 and forecast to 2035.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global AI accelerator market. Based on the availability of data, information related to new products, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • Global AI Accelerator Market Sales Analysis - Type| Technology Integration | Application| End-User ($ Million)
  • AI Accelerator Market Sales Performance of Top Countries
  • 1.1. Research Methodology
  • Primary Research Approach
  • Secondary Research Approach
  • 1.2. Market Snapshot

2. Market Overview and Insights

  • 2.1. Scope of the Study
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key AI Accelerator Industry Trends
    • 2.2.2. Market Recommendations
  • 2.3. Porter's Five Forces Analysis for the AI Accelerator Market
    • 2.3.1. Competitive Rivalry
    • 2.3.2. Threat of New Entrants
    • 2.3.3. Bargaining Power of Suppliers
    • 2.3.4. Bargaining Power of Buyers
    • 2.3.5. Threat of Substitutes

3. Market Determinants

  • 3.1. Market Drivers
    • 3.1.1. Drivers For Global AI Accelerator Market: Impact Analysis
  • 3.2. Market Pain Points and Challenges
    • 3.2.1. Restraints For Global AI Accelerator Market: Impact Analysis
  • 3.3. Market Opportunities

4. Competitive Landscape

  • 4.1. Competitive Dashboard - AI Accelerator Market Revenue and Share by Manufacturers
  • AI Accelerator Product Comparison Analysis
  • Top Market Player Ranking Matrix
  • 4.2. Key Company Analysis
  • 4.3. Advanced Micro Devices, Inc.
    • 4.3.1. Overview
    • 4.3.2. Product Portfolio
    • 4.3.3. Financial Analysis (Subject to Data Availability)
    • 4.3.4. SWOT Analysis
    • 4.3.5. Business Strategy
  • 4.4. IBM Corp.
    • 4.4.1. Overview
    • 4.4.2. Product Portfolio
    • 4.4.3. Financial Analysis (Subject to Data Availability)
    • 4.4.4. SWOT Analysis
    • 4.4.5. Business Strategy
  • 4.5. Intel Corp.
    • 4.5.1. Overview
    • 4.5.2. Product Portfolio
    • 4.5.3. Financial Analysis (Subject to Data Availability)
    • 4.5.4. SWOT Analysis
    • 4.5.5. Business Strategy
  • 4.6. NVIDIA Corp.
    • 4.6.1. Overview
    • 4.6.2. Product Portfolio
    • 4.6.3. Financial Analysis (Subject to Data Availability)
    • 4.6.4. SWOT Analysis
    • 4.6.5. Business Strategy
  • 4.7. Top Winning Strategies by Market Players
    • 4.7.1. Merger and Acquisition
    • 4.7.2. Product Launch
    • 4.7.3. Partnership And Collaboration
  • 5. Global AI Accelerator Market by Type ($ Million)
  • 5.1. Graphics Processing Units (GPUs)
  • 5.2. Tensor Processing Units (TPUs)
  • 5.3. Application-Specific Integrated Circuits (ASICs)
  • 5.4. Central Processing Units (CPUs)
  • 5.5. Field-Programmable Gate Arrays (FPGAs)
  • 6. Global AI Accelerator Market by Technology Integration ($ Million)
  • 6.1. Cloud-Based AI Accelerators
  • 6.2. Edge AI Accelerators
  • 7. Global AI Accelerator Market by End-User ($ Million)
  • 7.1. IT & Telecom
  • 7.2. Healthcare
  • 7.3. Automotive
  • 7.4. Finance
  • 7.5. Retail
  • 7.6. Others (Government and Defense)

8. Regional Analysis

  • 8.1. North American AI Accelerator Market Sales Analysis - Type| Technology Integration | End-User | Country ($ Million)
  • Macroeconomic Factors for North America
    • 8.1.1. United States
    • 8.1.2. Canada
  • 8.2. European AI Accelerator Market Sales Analysis Type| Technology Integration | End-User | Country ($ Million)
  • Macroeconomic Factors for European
    • 8.2.1. UK
    • 8.2.2. Germany
    • 8.2.3. Italy
    • 8.2.4. Spain
    • 8.2.5. France
    • 8.2.6. Russia
    • 8.2.7. Rest of Europe
  • 8.3. Asia-Pacific AI Accelerator Market Sales Analysis - Type| Technology Integration | End-User | Country ($ Million)
  • Macroeconomic Factors for Asia-Pacific
    • 8.3.1. China
    • 8.3.2. Japan
    • 8.3.3. South Korea
    • 8.3.4. India
    • 8.3.5. Australia & New Zealand
    • 8.3.6. ASEAN Countries (Thailand, Indonesia, Vietnam, Singapore, And Other)
    • 8.3.7. Rest of Asia-Pacific
  • 8.4. Rest of the World AI Accelerator Market Sales Analysis - Type| Technology Integration | End-User | Country ($ Million)
  • Macroeconomic Factors for the Rest of the World
    • 8.4.1. Latin America
    • 8.4.2. Middle East and Africa

9. Company Profiles

  • 9.1. Alibaba Group
    • 9.1.1. Quick Facts
    • 9.1.2. Company Overview
    • 9.1.3. Product Portfolio
    • 9.1.4. Business Strategies
  • 9.2. Advanced Micro Devices, Inc.
    • 9.2.1. Quick Facts
    • 9.2.2. Company Overview
    • 9.2.3. Product Portfolio
    • 9.2.4. Business Strategies
  • 9.3. Amazon Web Services, Inc.
    • 9.3.1. Quick Facts
    • 9.3.2. Company Overview
    • 9.3.3. Product Portfolio
    • 9.3.4. Business Strategies
  • 9.4. Apple, Inc.
    • 9.4.1. Quick Facts
    • 9.4.2. Company Overview
    • 9.4.3. Product Portfolio
    • 9.4.4. Business Strategies
  • 9.5. Arm Ltd.
    • 9.5.1. Quick Facts
    • 9.5.2. Company Overview
    • 9.5.3. Product Portfolio
    • 9.5.4. Business Strategies
  • 9.6. Cerebras Systems, Inc.
    • 9.6.1. Quick Facts
    • 9.6.2. Company Overview
    • 9.6.3. Product Portfolio
    • 9.6.4. Business Strategies
  • 9.7. Fujitsu, Ltd.
    • 9.7.1. Quick Facts
    • 9.7.2. Company Overview
    • 9.7.3. Product Portfolio
    • 9.7.4. Business Strategies
  • 9.8. Google, LLC
    • 9.8.1. Quick Facts
    • 9.8.2. Company Overview
    • 9.8.3. Product Portfolio
    • 9.8.4. Business Strategies
  • 9.9. Graphcore (SoftBank)
    • 9.9.1. Quick Facts
    • 9.9.2. Company Overview
    • 9.9.3. Product Portfolio
    • 9.9.4. Business Strategies
  • 9.10. Groq, Inc.
    • 9.10.1. Quick Facts
    • 9.10.2. Company Overview
    • 9.10.3. Product Portfolio
    • 9.10.4. Business Strategies
  • 9.11. Huawei Technologies Co., Ltd.
    • 9.11.1. Quick Facts
    • 9.11.2. Company Overview
    • 9.11.3. Product Portfolio
    • 9.11.4. Business Strategies
  • 9.12. IBM Corp.
    • 9.12.1. Quick Facts
    • 9.12.2. Company Overview
    • 9.12.3. Product Portfolio
    • 9.12.4. Business Strategies
  • 9.13. Intel Corp.
    • 9.13.1. Quick Facts
    • 9.13.2. Company Overview
    • 9.13.3. Product Portfolio
    • 9.13.4. Business Strategies
  • 9.14. Lightmatter
    • 9.14.1. Quick Facts
    • 9.14.2. Company Overview
    • 9.14.3. Product Portfolio
    • 9.14.4. Business Strategies
  • 9.15. Marvell Technology, Inc.
    • 9.15.1. Quick Facts
    • 9.15.2. Company Overview
    • 9.15.3. Product Portfolio
    • 9.15.4. Business Strategies
  • 9.16. Micron Technology, Inc.
    • 9.16.1. Quick Facts
    • 9.16.2. Company Overview
    • 9.16.3. Product Portfolio
    • 9.16.4. Business Strategies
  • 9.17. NeuroBlade
    • 9.17.1. Quick Facts
    • 9.17.2. Company Overview
    • 9.17.3. Product Portfolio
    • 9.17.4. Business Strategies
  • 9.18. NVIDIA Corp.
    • 9.18.1. Quick Facts
    • 9.18.2. Company Overview
    • 9.18.3. Product Portfolio
    • 9.18.4. Business Strategies
  • 9.19. NXP Semiconductors N.V.
    • 9.19.1. Quick Facts
    • 9.19.2. Company Overview
    • 9.19.3. Product Portfolio
    • 9.19.4. Business Strategies
  • 9.20. Samsung Electronics Co., Ltd.
    • 9.20.1. Quick Facts
    • 9.20.2. Company Overview
    • 9.20.3. Product Portfolio
    • 9.20.4. Business Strategies
  • 9.21. Tenstorrent
    • 9.21.1. Quick Facts
    • 9.21.2. Company Overview
    • 9.21.3. Product Portfolio
    • 9.21.4. Business Strategies