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市場調查報告書
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1849260

2025年全球深度學習晶片組市場報告

Deep Learning Chipset Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來，深度學習晶片組市場呈指數級成長，從2024年的94.7億美元成長到2025年的120.1億美元，複合年成長率達26.9%。這一成長可歸因於對海量數據進行精簡處理的需求日益成長、雲端運算的興起、人工智慧驅動型應用的發展、政府投資以及人工智慧框架和庫的演進。

預計未來幾年深度學習晶片組市場規模將呈指數級成長，到2029年將達到316.7億美元，複合年成長率（CAGR）為27.4%。預測期內的成長可歸因於自動駕駛系統的發展、5G技術的興起、對能源效率日益重視、物聯網應用日益普及以及汽車需求不斷成長。預測期內的關鍵趨勢包括神經形態運算的進步、人工智慧硬體的客製化、對節能型人工智慧解決方案的關注、人工智慧醫療設備的進步以及雲端基礎技術的應用。

未來五年27.4%的成長率預測較我們先前對該市場的預測略微下調了0.2%。這一下調主要歸因於美國與其他國家之間的關稅影響。對包括張量處理單元和神經形態硬體在內的專用晶片組徵收的關稅（這些晶片組主要來自亞洲）可能會減緩美國深度學習應用領域的創新。此外，相互關稅以及日益加劇的貿易緊張局勢和限制對全球經濟和貿易造成的負面影響，可能會產生更廣泛的影響。

深度學習晶片組市場預計將受益於物聯網 (IoT) 設備的日益普及。物聯網設備配備了感測器、軟體以及其他用於網際網路連接和數據交換的技術，由於感測器成本下降、人工智慧 (AI) 技術進步、自動化需求成長以及智慧型裝置和 5G 網路的廣泛應用，物聯網設備正在迅速擴張。這些設備會產生大量數據，這些數據對於訓練深度學習模型至關重要，而深度學習晶片組能夠有效處理這些數據，從而增強人工智慧能力。這些晶片組專為高速處理而設計，能夠支援各種應用中的關鍵即時分析和決策。例如，愛立信在 2022 年 9 月發布的報告顯示，預計 2022 年全球物聯網連線數將達到 132 億，到 2028 年將成長 18%，達到 347 億。物聯網的普及預計將推動對深度學習晶片組的需求。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球深度學習晶片組：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素與限制因素）
  • 終端用戶產業分析
  • 全球深度學習晶片組市場：成長率分析
  • 全球深度學習晶片組市場表現：規模與成長，2019-2024年
  • 全球深度學習晶片組市場預測：規模與成長，2024-2029年，2034年預測
  • 全球深度學習晶片組：潛在市場規模 (TAM)

第6章 市場細分

  • 全球深度學習晶片組市場：依類型、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 圖形處理器（GPU）
  • 中央處理器（CPU）
  • 專用積體電路（ASIC）
  • 現場可程式閘陣列（FPGA）
  • 其他類型
  • 全球深度學習晶片組市場：依技術、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 系統晶片（SOC）
  • 系統級封裝（SIP）
  • 多晶片模組
  • 其他技術
  • 全球深度學習晶片組市場依運算能力分類，實際值及預測值（2019-2024年、2024-2029年預測值、2034年預測值）
  • 高的
  • 低的
  • 全球深度學習晶片組市場：依終端用戶產業分類，實際結果與預測，2019-2024年、2024-2029年預測、2034年預測
  • 衛生保健
  • 車
  • 零售
  • 銀行、金融服務和保險（BFSI）
  • 製造業
  • 通訊
  • 能源
  • 其他終端用戶產業
  • 全球深度學習晶片組市場：按圖形處理器 (GPU)、類型細分，實際值和預測值（2019-2024 年、2024-2029 年預測值、2034 年預測值）。
  • 消費級GPU
  • 資料中心GPU
  • 伺服器 GPU
  • 整合顯示卡
  • 雲端GPU
  • 全球深度學習晶片組市場：按中央處理器 (CPU)、類型細分，實際值和預測值（2019-2024 年、2024-2029 年預測值、2034 年預測值）。
  • 多核心CPU
  • 高效能CPU
  • 伺服器 CPU
  • 消費級CPU
  • 全球深度學習晶片組市場：按專用積體電路 (ASIC)、類型細分，實際值和預測值（2019-2024 年、2024-2029 年預測值、2034 年預測值）。
  • 深度學習專用積體電路
  • 張量處理單元（TPU）
  • 加密貨幣挖礦專用積體電路
  • 客製化人工智慧專用積體電路
  • 全球深度學習晶片組市場：按現場可程式閘陣列(FPGA) 和類型細分，實際資料和預測資料（2019-2024 年、2024-2029 年預測、2034 年預測）。
  • 通用FPGA
  • AI最佳化型FPGA
  • 高效能FPGA
  • 全球深度學習晶片組市場：按類型細分，實際數據和預測數據（2019-2024年、2024-2029年預測、2034年預測）。
  • 神經型態晶片
  • 量子晶片
  • 邊緣人工智慧晶片
  • 混合晶片（結合了不同的晶片結構）

第7章 區域和國家分析

  • 全球深度學習晶片組市場：依地區、效能及預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 全球深度學習晶片組市場：按國家、性能和預測分類，2019-2024 年、2024-2029 年預測、2034 年預測

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 深度學習晶片組市場：競爭格局
  • 深度學習晶片組市場：公司概況
    • 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：其他領先和創新企業

  • 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 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年深度學習晶片組市場：提供新機會的國家
  • 2029年深度學習晶片組市場：新興細分市場機會
  • 2029年深度學習晶片組市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
Product Code: r29951u

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.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

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 $12.01 billion in 2025 at a compound annual growth rate (CAGR) of 26.9%. 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 $31.67 billion in 2029 at a compound annual growth rate (CAGR) of 27.4%. 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 forecast of 27.4% growth over the next five years reflects a modest reduction of 0.2% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariffs on specialized chipsets, including tensor processing units and neuromorphic hardware, primarily sourced from Asia, may delay innovation in U.S.-based deep learning applications. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

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, including technological disruption, regulatory shifts, and changing consumer preferences? 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • 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.
  • 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.; 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.
  • 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, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

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