ディープラーニング・チップセットの世界市場レポート 2025年

ディープラーニング・チップセット市場規模は、今後数年間で飛躍的な成長が見込まれます。2029年にはCAGR27.6％で321億1,000万米ドルに成長します。予測期間の成長は、自律システムの成長、5g技術の出現、エネルギー効率への注目の高まり、IoT採用の増加、自動車需要の高まりに起因すると考えられます。予測期間の主な動向としては、ニューロモーフィックコンピューティングの進歩、AIハードウェアのカスタマイズ、エネルギー効率の高いAIソリューションへの注力、AI搭載ヘルスケア機器の進歩、クラウドベース技術の採用などが挙げられます。

ディープラーニング・チップセット市場は、モノのインターネット（IoT）デバイスの採用拡大から恩恵を受けると予想されます。インターネット接続やデータ交換のためのセンサー、ソフトウェア、その他の技術を搭載したIoTデバイスは、センサーコストの低下、AIの進歩、自動化需要の増加、スマートデバイスと5Gネットワークの普及により拡大しています。これらのデバイスは、ディープラーニング・モデルの学習に不可欠な大量のデータを生成し、ディープラーニング・チップセットによって効率的に処理され、AIの能力を高める。これらのチップセットは高速処理用に設計されており、さまざまなアプリケーションで重要なリアルタイムの分析と意思決定を可能にします。例えば、2022年9月、エリクソンは、世界のIoT接続が2022年に132億に達し、2028年には18%増の347億に達すると予測していると報告しました。このようなIoT導入の増加は、ディープラーニングチップセットの需要を促進すると予想されます。

ディープラーニング・チップセット市場の主なプレーヤーは、複雑なAIタスクの計算効率と処理速度を向上させるために、ディープラーニング・プロセッサなどの先進的な製品を開発しています。ディープラーニング・プロセッサは、ディープラーニングに関連するタスクを高速化するように設計されており、データ解析のために複数のレイヤーを持つニューラルネットワークを活用します。例えば、米国を拠点とするAIプロセッサー・メーカーのHabana Labs Ltd.は2022年5月、第2世代のディープラーニング・プロセッサーであるHabana Gaudi2 TrainingとHabanab Grecoを発表しました。Habana Gaudi2は、NvidiaのA100 GPUと比較して最大2倍のスループットを提供し、24個のテンソル・プロセッサー・コア、96GBのHBM2Eメモリー、24個の100ギガビットRDMA接続を備えています。Habanab Grecoは、Gaudi2に見られる進歩に匹敵する、前モデルを大幅に上回る速度向上を実現すると期待されています。

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- 金利、インフレ、地政学、新型コロナウイルス感染症、そして景気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

• 世界ディープラーニング・チップセット 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
• 世界のディープラーニング・チップセット市場：成長率分析
• 世界のディープラーニング・チップセット市場の実績：規模と成長, 2019-2024
• 世界のディープラーニング・チップセット市場の予測：規模と成長, 2024-2029, 2034F
• 世界ディープラーニング・チップセ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

• 世界のディープラーニング・チップセット市場：タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• グラフィックスプロセッシングユニット（GPU）
• 中央処理装置（CPU）
• 特定用途向け集積回路（ASIC）
• フィールドプログラマブルゲートアレイ（FPGA）
• その他のタイプ
• 世界のディープラーニング・チップセット市場：技術別、実績と予測, 2019-2024, 2024-2029F, 2034F
• システムオンチップ（SOC）
• システムインパッケージ（SIP）
• マルチチップモジュール
• その他のテクノロジー
• 世界のディープラーニング・チップセット市場コンピューティング能力別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 高い
• 低い
• 世界のディープラーニング・チップセット市場：エンドユーザー業界別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ヘルスケア
• 自動車
• 小売り
• 銀行、金融サービス、保険（BFSI）
• 製造業
• 通信
• エネルギー
• その他のエンドユーザー産業
• 世界のディープラーニング・チップセット市場グラフィックスプロセッシングユニット（GPU）の種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
• コンシューマー向けGPU
• データセンターGPU
• サーバーGPU
• 統合GPU
• クラウドGPU
• 世界のディープラーニング・チップセット市場、中央処理装置（CPU）の種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
• マルチコアCPU
• 高性能CPU
• サーバーCPU
• コンシューマー向けCPU
• 世界のディープラーニング・チップセット市場、特定用途向け集積回路（ASIC）の種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
• ディープラーニングASIC
• テンソルプロセッシングユニット（TPU）
• 暗号通貨マイニングASIC
• カスタムAI ASIC
• 世界のディープラーニング・チップセット市場フィールドプログラマブルゲートアレイ（FPGA）の種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
• 汎用FPGA
• AIに最適化されたFPGA
• 高性能FPGA
• 世界のディープラーニング・チップセット市場、その他のタイプのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ニューロモルフィックチップ
• 量子チップ
• エッジAIチップ
• ハイブリッドチップ（異なるチップアーキテクチャの組み合わせ）

第7章 地域別・国別分析

• 世界のディープラーニング・チップセット市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界のディープラーニング・チップセット市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

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

• ディープラーニング・チップセット市場：競合情勢
• ディープラーニング・チップセット市場：企業プロファイル
  • Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
  • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
  • Huawei Technologies Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
  • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章 その他の大手企業と革新的企業

• Intel Corporation
• International Business Machines Corporation
• Qualcomm Technologies Inc.
• Micron Technology Inc.
• NVIDIA Corporation
• Advanced Micro Devices Inc.
• Texas Instruments Incorporated
• MediaTek Inc.
• NXP Semiconductors
• INSPUR Co. Ltd.
• Cambricon Technologies
• Rockchip
• Cerebras Systems Inc.
• Mythic
• Habana Labs Ltd.

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、セグメント、戦略

• ディープラーニング・チップセット市場2029：新たな機会を提供する国
• ディープラーニング・チップセット市場2029：新たな機会を提供するセグメント
• ディープラーニング・チップセット市場2029：成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

A deep learning chipset is a specialized hardware component engineered to efficiently perform the complex computations required by deep learning algorithms. These chipsets are optimized for large-scale matrix operations and high-volume data processing essential for neural network training and inference.

The primary types of deep learning chipsets include graphics processing units (GPUs), central processing units (CPUs), application-specific integrated circuits (ASICs), and field-programmable gate arrays (FPGAs). GPUs, in particular, are specialized processors designed to accelerate graphics rendering and complex calculations, which is crucial for deep learning tasks that benefit from parallel processing. They come with various technologies such as system-on-chip (SOC), system-in-package (SIP), and multi-chip modules, and are available in different compute capacities, including high and low performance. These chipsets are utilized across a range of industries, including healthcare, automotive, retail, banking, financial services, insurance (BFSI), manufacturing, telecommunications, energy, and others.

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

The deep learning chipset market size has grown exponentially in recent years. It will grow from $9.47 billion in 2024 to $12.1 billion in 2025 at a compound annual growth rate (CAGR) of 27.8%. The growth in the historic period can be attributed to the growing need to streamline large volumes of data, the rise of cloud computing, the development of AI-driven applications, government investments, and the evolution of AI frameworks and libraries.

The deep learning chipset market size is expected to see exponential growth in the next few years. It will grow to $32.11 billion in 2029 at a compound annual growth rate (CAGR) of 27.6%. The growth in the forecast period can be attributed to growth of autonomous systems, the emergence of 5g technology, increasing focus on energy efficiency, rising adoption of IoT, and rising demand for automobiles. Major trends in the forecast period include advances in neuromorphic computing, customization of AI hardware, focus on energy-efficient AI solutions, advancement in AI-powered healthcare devices, and adoption of cloud-based technology.

The deep learning chipset market is expected to benefit from the growing adoption of Internet of Things (IoT) devices. IoT devices, which are equipped with sensors, software, and other technologies for internet connectivity and data exchange, are expanding due to declining sensor costs, advancements in AI, increased demand for automation, and the proliferation of smart devices and 5G networks. These devices generate large volumes of data essential for training deep learning models, which are processed efficiently by deep learning chipsets to boost AI capabilities. These chipsets are designed for high-speed processing, enabling real-time analysis and decision-making crucial for various applications. For instance, in September 2022, Ericsson reported that global IoT connections reached 13.2 billion in 2022 and are projected to grow by 18% to 34.7 billion by 2028. This increase in IoT adoption is expected to drive the demand for deep learning chipsets.

Key players in the deep learning chipset market are developing advanced products such as deep-learning processors to improve computational efficiency and processing speeds for complex AI tasks. Deep learning processors are engineered to accelerate tasks related to deep learning and leverage neural networks with multiple layers for data analysis. For example, in May 2022, Habana Labs Ltd., a US-based manufacturer of AI processors, introduced the Habana Gaudi2 Training and Habanab Greco, its second-generation deep learning processors. The Habana Gaudi2 offers up to 2x throughput compared to Nvidia's A100 GPU and features 24 tensor processor cores, 96 GB of HBM2E memory, and 24 100 Gigabit RDMA connections. Habanab Greco is expected to deliver significant speed improvements over its predecessor, paralleling advancements seen in Gaudi2.

In April 2024, Microchip Technology Inc., a US-based provider of embedded control solutions, acquired Neuronix AI Labs for an undisclosed amount. This acquisition will enable Microchip to develop more cost-effective and scalable edge computing solutions for computer vision, leveraging Neuronix's expertise. Additionally, it will enhance Microchip's AI and machine learning processing capabilities on its field programmable gate arrays (FPGAs), facilitating AI deployment on configurable FPGA hardware for non-FPGA professionals. Neuronix AI Labs specializes in deep learning chipsets and optimization technologies.

Major companies operating in the deep learning chipset market are Apple Inc., Microsoft Corporation, Samsung Electronics Co. Ltd., Huawei Technologies Co. Ltd., Amazon Web Services Inc., Intel Corporation, International Business Machines Corporation, Qualcomm Technologies Inc., Micron Technology Inc., NVIDIA Corporation, Advanced Micro Devices Inc., Texas Instruments Incorporated, MediaTek Inc., NXP Semiconductors, INSPUR Co. Ltd., Cambricon Technologies, Rockchip, Cerebras Systems Inc., Mythic, Habana Labs Ltd., BrainChip Inc.

North America was the largest region in the deep learning chipset market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the deep learning chipset market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The deep learning chipset market consists of revenues earned by entities by providing services such as model training acceleration, inference processing, support for diverse algorithms, and hardware optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. The deep learning chipset market also includes sales of tensor processing units (TPUs), neural processing units (NPUs), and specialized AI accelerators. 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.

Deep Learning Chipset 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 deep learning chipset 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 deep learning chipset ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The deep learning chipset 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 Type: Graphics Processing Units (GPUs); Central Processing Units (CPUs); Application Specific Integrated Circuits (ASICs); Field Programmable Gate Arrays (FPGAs); Other Types
• 2) By Technology: System-On-Chip (SOC); System-In-Package (SIP); Multi-Chip Module; Other Technologies
• 3) By Compute Capacity: High; Low
• 4) By End-User Industry: Healthcare; Automotive; Retail; Banking, Financial Services, And Insurance (BFSI); Manufacturing; Telecommunications; Energy; Other End-User Industries
• Subsegments:
• 1) By Graphics Processing Units (Gpus): Consumer Gpus; Data Center Gpus; Server Gpus; Integrated Gpus; Cloud Gpus
• 2) By Central Processing Units (Cpus): Multi-Core Cpus; High-Performance Cpus; Server Cpus; Consumer Cpus
• 3) By Application Specific Integrated Circuits (Asics): Deep Learning Asics; Tensor Processing Units (Tpus); Cryptocurrency Mining Asics; Custom Ai Asics
• 4) By Field Programmable Gate Arrays (Fpgas): General-Purpose Fpgas; Ai-Optimized Fpgas; High-Performance Fpgas
• 5) By Other Types: Neuromorphic Chips; Quantum Chips; Edge Ai Chips; Hybrid Chips (Combination Of Different Chip Architectures)
• Companies Mentioned: Apple Inc.; Microsoft Corporation; Samsung Electronics Co. Ltd.; Huawei Technologies Co. Ltd.; Amazon Web Services Inc.
• 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. Deep Learning Chipset Market Characteristics

3. Deep Learning Chipset Market Trends And Strategies

4. Deep Learning Chipset Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Deep Learning Chipset Growth Analysis And Strategic Analysis Framework

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

6. Deep Learning Chipset Market Segmentation

• 6.1. Global Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Graphics Processing Units (GPUs)
• Central Processing Units (CPUs)
• Application Specific Integrated Circuits (ASICs)
• Field Programmable Gate Arrays (FPGAs)
• Other Types
• 6.2. Global Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• System-On-Chip (SOC)
• System-In-Package (SIP)
• Multi-Chip Module
• Other Technologies
• 6.3. Global Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• High
• Low
• 6.4. Global Deep Learning Chipset Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Healthcare
• Automotive
• Retail
• Banking, Financial Services, And Insurance (BFSI)
• Manufacturing
• Telecommunications
• Energy
• Other End-User Industries
• 6.5. Global Deep Learning Chipset Market, Sub-Segmentation Of Graphics Processing Units (GPUs), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Consumer GPUs
• Data Center GPUs
• Server GPUs
• Integrated GPUs
• Cloud GPUs
• 6.6. Global Deep Learning Chipset Market, Sub-Segmentation Of Central Processing Units (CPUs), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Multi-Core CPUs
• High-Performance CPUs
• Server CPUs
• Consumer CPUs
• 6.7. Global Deep Learning Chipset Market, Sub-Segmentation Of Application Specific Integrated Circuits (ASICs), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Deep Learning ASICs
• Tensor Processing Units (TPUs)
• Cryptocurrency Mining ASICs
• Custom AI ASICs
• 6.8. Global Deep Learning Chipset Market, Sub-Segmentation Of Field Programmable Gate Arrays (FPGAs), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• General-Purpose FPGAs
• AI-Optimized FPGAs
• High-Performance FPGAs
• 6.9. Global Deep Learning Chipset Market, Sub-Segmentation Of Other Types, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Neuromorphic Chips
• Quantum Chips
• Edge AI Chips
• Hybrid Chips (Combination of Different Chip Architectures)

7. Deep Learning Chipset Market Regional And Country Analysis

• 7.1. Global Deep Learning Chipset Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global Deep Learning Chipset Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Deep Learning Chipset Market

• 8.1. Asia-Pacific Deep Learning Chipset 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 Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Deep Learning Chipset Market

• 9.1. China Deep Learning Chipset Market Overview
• 9.2. China Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Deep Learning Chipset Market

• 10.1. India Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Deep Learning Chipset Market

• 11.1. Japan Deep Learning Chipset Market Overview
• 11.2. Japan Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Deep Learning Chipset Market

• 12.1. Australia Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Deep Learning Chipset Market

• 13.1. Indonesia Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Deep Learning Chipset Market

• 14.1. South Korea Deep Learning Chipset Market Overview
• 14.2. South Korea Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Deep Learning Chipset Market

• 15.1. Western Europe Deep Learning Chipset Market Overview
• 15.2. Western Europe Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Deep Learning Chipset Market

• 16.1. UK Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Deep Learning Chipset Market

• 17.1. Germany Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Deep Learning Chipset Market

• 18.1. France Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Deep Learning Chipset Market

• 19.1. Italy Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Deep Learning Chipset Market

• 20.1. Spain Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Deep Learning Chipset Market

• 21.1. Eastern Europe Deep Learning Chipset Market Overview
• 21.2. Eastern Europe Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Deep Learning Chipset Market

• 22.1. Russia Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Deep Learning Chipset Market

• 23.1. North America Deep Learning Chipset Market Overview
• 23.2. North America Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Deep Learning Chipset Market

• 24.1. USA Deep Learning Chipset Market Overview
• 24.2. USA Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Deep Learning Chipset Market

• 25.1. Canada Deep Learning Chipset Market Overview
• 25.2. Canada Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Deep Learning Chipset Market

• 26.1. South America Deep Learning Chipset Market Overview
• 26.2. South America Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Deep Learning Chipset Market

• 27.1. Brazil Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Deep Learning Chipset Market

• 28.1. Middle East Deep Learning Chipset Market Overview
• 28.2. Middle East Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Deep Learning Chipset Market

• 29.1. Africa Deep Learning Chipset Market Overview
• 29.2. Africa Deep Learning Chipset Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Deep Learning Chipset Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Deep Learning Chipset Market, Segmentation By Compute Capacity, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Deep Learning Chipset Market Competitive Landscape And Company Profiles

• 30.1. Deep Learning Chipset Market Competitive Landscape
• 30.2. Deep Learning Chipset Market Company Profiles
  • 30.2.1. Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. Huawei Technologies Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Deep Learning Chipset Market Other Major And Innovative Companies

• 31.1. Intel Corporation
• 31.2. International Business Machines Corporation
• 31.3. Qualcomm Technologies Inc.
• 31.4. Micron Technology Inc.
• 31.5. NVIDIA Corporation
• 31.6. Advanced Micro Devices Inc.
• 31.7. Texas Instruments Incorporated
• 31.8. MediaTek Inc.
• 31.9. NXP Semiconductors
• 31.10. INSPUR Co. Ltd.
• 31.11. Cambricon Technologies
• 31.12. Rockchip
• 31.13. Cerebras Systems Inc.
• 31.14. Mythic
• 31.15. Habana Labs Ltd.

32. Global Deep Learning Chipset Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Deep Learning Chipset Market

34. Recent Developments In The Deep Learning Chipset Market

35. Deep Learning Chipset Market High Potential Countries, Segments and Strategies

• 35.1 Deep Learning Chipset Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Deep Learning Chipset Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Deep Learning Chipset 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