テンソル処理ユニットの世界市場レポート 2025年

テンソル処理ユニット（TPU）市場規模は、今後数年間で飛躍的な成長が見込まれます。2029年にはCAGR35.0％で253億8,000万まで拡大します。予測期間の成長は、高性能コンピューティングの需要増加、コネクテッドカーの需要拡大、エッジAIの開発台数増加、ディープラーニングの進歩、テンソル処理ユニットの採用増加などに起因すると考えられます。この期間の主要動向には、クラウドデータセンター施設への投資、戦略的提携、エッジコンピューティングの拡大、IoTの統合、クラウドベースのTPU利用の拡大などがあります。

コネクテッドビークルの需要増加が、今後数年間のテンソル処理ユニット（TPU）市場の成長を牽引すると予想されます。コネクテッドカーとは、インターネット接続や通信技術を搭載した自動車のことで、他の自動車やインフラ、クラウドサービスとの相互作用を可能にし、安全性やナビゲーション、ユーザー体験を向上させています。コネクテッドカーの台頭は、輸送における安全性、利便性の向上、リアルタイムのデータ駆動型サービスに対する需要の高まりに後押しされています。TPUは、自律走行、先進的安全機能、効率的なデータ分析のためのリアルタイムAI処理を可能にすることで、コネクテッドカーにおいて重要な役割を果たしています。例えば、英国の科学技術革新省と地理空間委員会によると、2035年までに英国内の自動車の40％が自動運転機能を搭載すると予測されています。英国の自律走行車市場は約524億3,000万米ドル（420億英ポンド）に達し、最大3万8,000人の新たな雇用機会を創出する可能性があります。こうしたコネクテッドカーへの需要の高まりが、TPU市場の拡大を後押ししています。

TPU市場で事業を展開する企業は、産業における競合を維持するため、クラウドTPUなどの技術的進歩に注力しています。クラウドTPUはGoogleのクラウドベースの機械学習アクセラレーターで、ディープラーニングモデルのトレーニングやデプロイのために、高性能でスケーラブル、かつコスト効率の高い処理を提供するように設計されています。例えば、Google LLCは2024年5月、TPU v5eと比較してチップあたりのピーク演算性能が4.7倍向上し、高帯域幅メモリとチップ間インターコネクトの帯域幅が2倍になったAIハードウェアの重要な進歩であるTrilliumを発表しました。これらのTPUは、大規模エンベッディングを処理する第3世代のSparseCoreで強化されており、基礎モデルの高速トレーニングとレイテンシの短縮を可能にします。さらに、Trillium TPUは、前世代のTPU v5eに比べてエネルギー効率が67%以上向上しており、持続可能性への取り組みを示しています。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場-マクロ経済シナリオ金利、インフレ、地政学、新型コロナウイルス感染症の影響と回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

• 世界のテンソル処理ユニット PESTEL分析（政治、社会、技術、環境、法的要因、促進要因と抑制要因）
• 最終用途産業の分析
• 世界のテンソル処理ユニット市場：成長率分析
• 世界のテンソル処理ユニット市場の実績：規模と成長、2019～2024年
• 世界のテンソル処理ユニット市場の予測：規模と成長、2024～2029年、2034年
• 世界のテンソル処理ユニット総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界のテンソル処理ユニット市場：テンソルコア別、実績と予測、2019～2024年、2024～2029年、2034年
• FP16
• FP32
• FP64
• INT8
• INT16
• INT32
• 世界のテンソル処理ユニット市場：アーキテクチャ別、実績と予測、2019～2024年、2024～2029年、2034年
• スケーラブルベクトル拡大（SVX）
• 行列乗算（MXM）
• 混合精度
• クロスバー相互接続
• 世界のテンソル処理ユニット市場：フォームファクタ別、実績と予測、2019～2024年、2024～2029年、2034年
• PCIe
• PCIeライザーカード
• 組み込みシステム
• 世界のテンソル処理ユニット市場：用途別、実績と予測、2019～2024年、2024～2029年、2034年
• クラウドコンピューティング
• データセンター
• 機械学習
• データ分析
• 人工知能
• 世界のテンソル処理ユニット市場：産業別、実績と予測、2019～2024年、2024～2029年、2034年
• ヘルスケア
• 自動車
• 金融サービス
• 小売
• 通信
• 世界のテンソル処理ユニット市場、FP16のサブセグメンテーション、タイプ別、実績と予測、2019～2024年、2024～2029年、2034年
• 推論ワークロード
• トレーニングのワークロード
• 世界のテンソル処理ユニット市場、FP32のサブセグメンテーション、タイプ別、実績と予測、2019～2024年、2024～2029年、2034年
• 高精度トレーニング
• 高性能コンピューティング（HPC）
• 世界のテンソル処理ユニット市場FP64のサブセグメンテーション、タイプ別、実績と予測、2019～2024年、2024～2029年、2034年
• 科学計算
• 高性能シミュレーション
• 世界のテンソル処理ユニット市場、INT8のサブセグメンテーション、タイプ別、実績と予測、2019～2024年、2024～2029年、2034年
• エッジAI推論
• 画像認識
• 世界のテンソル処理ユニット市場、INT16のサブセグメンテーション、タイプ別、実績と予測、2019～2024年、2024～2029年、2034年
• 混合精度ワークロード
• 機械学習推論
• 世界のテンソル処理ユニット市場、INT32のサブセグメンテーション、タイプ別、実績と予測、2019～2024年、2024～2029年、2034年
• データ処理と分析
• 複雑な計算タスク

第7章 地域別・国別分析

• 世界のテンソル処理ユニット市場：地域別、実績と予測、2019～2024年、2024～2029年、2034年
• 世界のテンソル処理ユニット市場：国別、実績と予測、2019～2024年、2024～2029年、2034年

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• テンソル処理ユニット市場：競合情勢
• テンソル処理ユニット市場：企業プロファイル
  • Google LLC
  • Samsung Electronics Co.
  • Microsoft Corporation
  • Intel Corporation
  • International Business Machines Corporation

第31章 その他の大手企業と革新的企業

• Qualcomm Technologies Inc.
• Fujitsu Ltd.
• NVIDIA Corporation
• Texas Instruments Inc.
• STMicroelectronics
• Infineon Technologies AG
• NXP Semiconductors NV
• Analog Devices Inc.
• Renesas Electronics Corp.
• Harman International Industries Inc.
• Microchip Technology Inc.
• ROHM Semiconductor Co. Ltd.
• Tessolve Semiconductor Pvt. Ltd.
• ADLINK Technology Inc.
• 4D Systems

第32章 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、戦略

• テンソル処理ユニット市場、2029年：新たな機会を提供する国
• テンソル処理ユニット市場、2029年：新たな機会を提供するセグメント
• テンソル処理ユニット市場、2029年：成長戦略
  • 市場動向による戦略
  • 競合の戦略

第36章 付録

A tensor processing unit (TPU) is a specialized hardware accelerator designed to optimize machine learning, particularly deep learning tasks. Tailored for tensor-based computations, TPUs excel at large-scale matrix operations, offering superior speed, energy efficiency, and scalability for AI applications such as natural language processing, computer vision, and recommendation systems.

The main tensor processing unit cores include fp16, fp32, fp64, int8, int16, and int32. FP16 is a numerical format used in TPUs, where each value is stored in 16 bits, providing a balance between speed and precision. It is utilized in various architectures such as scalable vector extension (svx), matrix multiply (mxm), mixed precision, and cross-bar interconnect, and can be integrated into PCIe, PCIe riser cards, and embedded systems. TPUs are applied across various industries, including cloud computing, data centers, machine learning, data analytics, and artificial intelligence, with end users spanning sectors such as healthcare, automotive, financial services, retail, and telecommunications.

The tensor processing unit market research report is one of a series of new reports from The Business Research Company that provides tensor processing unit market statistics, including tensor processing unit industry global market size, regional shares, competitors with a tensor processing unit market share, detailed tensor processing unit market segments, market trends and opportunities, and any further data you may need to thrive in the tensor processing unit industry. This tensor processing unit market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The tensor processing unit market size has grown exponentially in recent years. It will grow from $5.20 billion in 2024 to $7.04 billion in 2025 at a compound annual growth rate (CAGR) of 35.3%. The growth during the historic period can be attributed to the increasing demand for artificial intelligence, the rising adoption of machine learning across various industries, the growth of data-driven applications, increased investment in artificial intelligence infrastructure, and growing support from AI software ecosystems.

The tensor processing unit market size is expected to see exponential growth in the next few years. It will grow to 25.38 billion in 2029 at a compound annual growth rate (CAGR) of 35.0%. The growth in the forecast period can be attributed to the increasing demand for high-performance computing, the growing demand for connected vehicles, the rising development of edge AI, advancements in deep learning, and the increasing adoption of tensor processing units. Key trends during this period include investment in cloud data center facilities, strategic collaborations, the expansion of edge computing, integration of IoT, and the growing use of cloud-based TPUs.

The increasing demand for connected vehicles is expected to drive the growth of the tensor processing unit (TPU) market in the coming years. Connected vehicles are automobiles equipped with internet connectivity and communication technologies that enable interaction with other vehicles, infrastructure, and cloud services, improving safety, navigation, and user experience. The rise in connected vehicles is fueled by the growing demand for enhanced safety, convenience, and real-time data-driven services in transportation. TPUs play a crucial role in connected vehicles by enabling real-time AI processing for autonomous driving, advanced safety features, and efficient data analysis. For example, according to the UK Department for Science, Innovation and Technology and the Geospatial Commission, it is projected that 40% of automobiles in the United Kingdom may have self-driving capabilities by 2035. The autonomous vehicle market in the UK could reach a value of approximately $52.43 billion (£42 billion), potentially creating up to 38,000 new job opportunities. This growing demand for connected vehicles is driving the expansion of the TPU market.

Companies operating in the TPU market are focusing on technological advancements, such as cloud TPUs, to maintain a competitive edge in the industry. Cloud TPUs are Google's cloud-based machine learning accelerators designed to provide high-performance, scalable, and cost-efficient processing for training and deploying deep learning models. For instance, in May 2024, Google LLC launched Trillium, a significant advancement in AI hardware that offers a 4.7X increase in peak compute performance per chip compared to TPU v5e, along with doubled High Bandwidth Memory and Interchip Interconnect bandwidth. These TPUs are enhanced with a third-generation SparseCore for processing large embeddings, enabling faster training and reduced latency for foundation models. Additionally, Trillium TPUs are over 67% more energy-efficient than their predecessor, TPU v5e, demonstrating a commitment to sustainability.

In January 2023, Bayer AG, a Germany-based pharmaceutical company, partnered with Google to advance large-scale quantum chemistry computations. This collaboration utilizes Google Cloud's TPUs to improve the efficiency of density functional theory calculations in drug discovery. The partnership aims to enhance the understanding of protein-ligand interactions through quantum mechanical modeling, further integrating TPUs into critical industries such as pharmaceuticals.

Major players in the tensor processing unit market are Google LLC, Samsung Electronics Co., Microsoft Corporation, Intel Corporation, International Business Machines Corporation, Qualcomm Technologies Inc., Fujitsu Ltd., NVIDIA Corporation, Texas Instruments Inc., STMicroelectronics, Infineon Technologies AG, NXP Semiconductors NV, Analog Devices Inc., Renesas Electronics Corp., Harman International Industries Inc., Microchip Technology Inc., ROHM Semiconductor Co. Ltd., Tessolve Semiconductor Pvt. Ltd., ADLINK Technology Inc., 4D Systems, Alif Semiconductor, Cypress Technology Co. Ltd., ARM Holdings LP, GHI Electronics LLC, and Amulet Technologies LLC.

North America was the largest region in the tensor processing unit market in 2024. The regions covered in tensor processing unit report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the tensor processing unit market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The tensor processing unit market consists of sales of edge TPUs, AI development platforms, custom AI chips, and neural network training systems. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Tensor Processing Unit Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on tensor processing unit market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for tensor processing unit ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The tensor processing unit market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Tensor Core: FP16; FP32; FP64; INT8; INT16; INT32
• 2) By Architecture: Scalable Vector Extension (SVX); Matrix Multiply (MXM); Mixed Precision; Cross-bar Interconnect
• 3) By Form Factor: PCIe; PCIe Riser Card; Embedded System
• 4) By Application: Cloud Computing; Data Centers; Machine Learning; Data Analytics; Artificial Intelligence
• 5) By Vertical: Healthcare; Automotive; Financial Services; Retail; Telecommunications
• Subsegments:
• 1) By FP16: Inference Workloads; Training Workloads
• 2) By FP32: High Precision Training; High Performance Computing (HPC)
• 3) By FP64: Scientific Computing; High-Performance Simulation
• 4) By INT8: Edge AI Inference; Image Recognition
• 5) By INT16: Mixed Precision Workloads; Machine Learning Inference
• 6) By INT32: Data Processing and Analytics; Complex Computational Tasks
• Companies Mentioned: Google LLC; Samsung Electronics Co.; Microsoft Corporation; Intel Corporation; International Business Machines Corporation
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Tensor Processing Unit Market Characteristics

3. Tensor Processing Unit Market Trends And Strategies

4. Tensor Processing Unit Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global Tensor Processing Unit Growth Analysis And Strategic Analysis Framework

• 5.1. Global Tensor Processing Unit PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 5.2. Analysis Of End Use Industries
• 5.3. Global Tensor Processing Unit Market Growth Rate Analysis
• 5.4. Global Tensor Processing Unit Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
• 5.5. Global Tensor Processing Unit Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
• 5.6. Global Tensor Processing Unit Total Addressable Market (TAM)

6. Tensor Processing Unit Market Segmentation

• 6.1. Global Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• FP16
• FP32
• FP64
• INT8
• INT16
• INT32
• 6.2. Global Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Scalable Vector Extension (SVX)
• Matrix Multiply (MXM)
• Mixed Precision
• Cross-bar Interconnect
• 6.3. Global Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• PCIe
• PCIe Riser Card
• Embedded System
• 6.4. Global Tensor Processing Unit Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Cloud Computing
• Data Centers
• Machine Learning
• Data Analytics
• Artificial Intelligence
• 6.5. Global Tensor Processing Unit Market, Segmentation By Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Healthcare
• Automotive
• Financial Services
• Retail
• Telecommunications
• 6.6. Global Tensor Processing Unit Market, Sub-Segmentation Of FP16, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Inference Workloads
• Training Workloads
• 6.7. Global Tensor Processing Unit Market, Sub-Segmentation Of FP32, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• High Precision Training
• High Performance Computing (HPC)
• 6.8. Global Tensor Processing Unit Market, Sub-Segmentation Of FP64, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Scientific Computing
• High-Performance Simulation
• 6.9. Global Tensor Processing Unit Market, Sub-Segmentation Of INT8, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Edge AI Inference
• Image Recognition
• 6.10. Global Tensor Processing Unit Market, Sub-Segmentation Of INT16, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Mixed Precision Workloads
• Machine Learning Inference
• 6.11. Global Tensor Processing Unit Market, Sub-Segmentation Of INT32, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Data Processing and Analytics
• Complex Computational Tasks

7. Tensor Processing Unit Market Regional And Country Analysis

• 7.1. Global Tensor Processing Unit Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global Tensor Processing Unit Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Tensor Processing Unit Market

• 8.1. Asia-Pacific Tensor Processing Unit Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 8.2. Asia-Pacific Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Tensor Processing Unit Market

• 9.1. China Tensor Processing Unit Market Overview
• 9.2. China Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Tensor Processing Unit Market

• 10.1. India Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Tensor Processing Unit Market

• 11.1. Japan Tensor Processing Unit Market Overview
• 11.2. Japan Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Tensor Processing Unit Market

• 12.1. Australia Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Tensor Processing Unit Market

• 13.1. Indonesia Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Tensor Processing Unit Market

• 14.1. South Korea Tensor Processing Unit Market Overview
• 14.2. South Korea Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Tensor Processing Unit Market

• 15.1. Western Europe Tensor Processing Unit Market Overview
• 15.2. Western Europe Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Tensor Processing Unit Market

• 16.1. UK Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Tensor Processing Unit Market

• 17.1. Germany Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Tensor Processing Unit Market

• 18.1. France Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Tensor Processing Unit Market

• 19.1. Italy Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Tensor Processing Unit Market

• 20.1. Spain Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Tensor Processing Unit Market

• 21.1. Eastern Europe Tensor Processing Unit Market Overview
• 21.2. Eastern Europe Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Tensor Processing Unit Market

• 22.1. Russia Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Tensor Processing Unit Market

• 23.1. North America Tensor Processing Unit Market Overview
• 23.2. North America Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Tensor Processing Unit Market

• 24.1. USA Tensor Processing Unit Market Overview
• 24.2. USA Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Tensor Processing Unit Market

• 25.1. Canada Tensor Processing Unit Market Overview
• 25.2. Canada Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Tensor Processing Unit Market

• 26.1. South America Tensor Processing Unit Market Overview
• 26.2. South America Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Tensor Processing Unit Market

• 27.1. Brazil Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Tensor Processing Unit Market

• 28.1. Middle East Tensor Processing Unit Market Overview
• 28.2. Middle East Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Tensor Processing Unit Market

• 29.1. Africa Tensor Processing Unit Market Overview
• 29.2. Africa Tensor Processing Unit Market, Segmentation By Tensor Core, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Tensor Processing Unit Market, Segmentation By Architecture, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Tensor Processing Unit Market, Segmentation By Form Factor, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Tensor Processing Unit Market Competitive Landscape And Company Profiles

• 30.1. Tensor Processing Unit Market Competitive Landscape
• 30.2. Tensor Processing Unit Market Company Profiles
  • 30.2.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Samsung Electronics Co. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis

31. Tensor Processing Unit Market Other Major And Innovative Companies

• 31.1. Qualcomm Technologies Inc.
• 31.2. Fujitsu Ltd.
• 31.3. NVIDIA Corporation
• 31.4. Texas Instruments Inc.
• 31.5. STMicroelectronics
• 31.6. Infineon Technologies AG
• 31.7. NXP Semiconductors NV
• 31.8. Analog Devices Inc.
• 31.9. Renesas Electronics Corp.
• 31.10. Harman International Industries Inc.
• 31.11. Microchip Technology Inc.
• 31.12. ROHM Semiconductor Co. Ltd.
• 31.13. Tessolve Semiconductor Pvt. Ltd.
• 31.14. ADLINK Technology Inc.
• 31.15. 4D Systems

32. Global Tensor Processing Unit Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Tensor Processing Unit Market

34. Recent Developments In The Tensor Processing Unit Market

35. Tensor Processing Unit Market High Potential Countries, Segments and Strategies

• 35.1 Tensor Processing Unit Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Tensor Processing Unit Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Tensor Processing Unit Market In 2029 - Growth Strategies
  • 35.3.1 Market Trend Based Strategies
  • 35.3.2 Competitor Strategies

36. Appendix

• 36.1. Abbreviations
• 36.2. Currencies
• 36.3. Historic And Forecast Inflation Rates
• 36.4. Research Inquiries
• 36.5. The Business Research Company
• 36.6. Copyright And Disclaimer