查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1704091

2025年深度學習晶片組全球市場報告

Deep Learning Chipset Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 200 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

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，這一數字將成長至 321.1 億美元，複合年成長率為 27.6%。預測期內的成長可歸因於自主系統的成長、5G 技術的出現、對能源效率的日益關注、物聯網的採用率的提高以及對汽車的需求的不斷成長。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的技術的採用。

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、軟體和其他用於網際網路連接和資料交換的技術，由於感測器成本下降、人工智慧的進步、自動化需求的增加以及智慧型裝置和 5G 網路的廣泛採用，物聯網設備正在不斷擴張。這些設備會產生大量對於訓練深度學習模型至關重要的資料，而深度學習晶片組會對這些數據進行高效處理，從而增強人工智慧能力。這些晶片組專為高速處理而設計，可在廣泛的應用中實現關鍵的即時分析和決策。例如，愛立信在2022年9月報告稱，預計2022年全球物聯網連接數將達到132億，2028年將達到347億，成長18%。物聯網應用的成長預計將推動對深度學習晶片組的需求。

深度學習晶片組市場的關鍵參與者正在開發深度學習處理器等先進產品，以提高複雜人工智慧任務的運算效率和處理速度。深度學習處理器旨在加速與深度學習相關的任務，它利用多層神經網路進行資料分析。例如，美國人工智慧處理器製造商 Habana Labs Ltd. 於 2022 年 5 月發布了第二代深度學習處理器 Habana Gaudi2 Training 和 Habanab Greco。 Habana Gaudi2 的吞吐量是 Nvidia A100 GPU 的兩倍，配備 24 個張量處理器核心、96GB HBM2E 記憶體和 24 個Gigabit RDMA 連接。 Habanab Greco 預計將比其前代產品實現顯著的速度提升，與 Gaudi2 的進步相匹配。

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、感染疾病、地緣政治、新冠疫情、經濟復甦對市場的影響

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、促進因素和限制因素）
  • 最終用途產業分析
  • 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
  • 全球深度學習晶片組市場預測：規模與成長，2024-2029 年，2034 年
  • 全球深度學習晶片組總目標市場（TAM）

第6章市場區隔

  • 全球深度學習晶片組市場：按類型、性能和預測，2019-2024 年、2024-2029 年、2034 年
  • 圖形處理單元 (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、效能與預測，2019-2024 年、2024-2029 年、2034 年
  • 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、效能及預測），2019-2024 年、2024-2029 年、2034 年
  • 昂貴的
  • 低的
  • 全球深度學習晶片組市場：依最終用戶產業、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 衛生保健
  • 車
  • 零售
  • 銀行、金融服務和保險（BFSI）
  • 製造業
  • 通訊
  • 能源
  • 其他最終用戶產業
  • 全球深度學習晶片組市場按圖形處理單元 (GPU) 類型、效能和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 消費級 GPU
  • 資料中心 GPU
  • 伺服器 GPU
  • 整合 GPU
  • 雲端 GPU
  • 全球深度學習晶片組市場，按中央處理器 (CPU) 類型、效能和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 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，依專用積體電路 (ASIC) 類型細分，效能及預測，2019-2024 年、2024-2029 年、2034 年
  • 深度學習 ASIC
  • 張量處理單元 (TPU)
  • 加密貨幣挖礦ASIC
  • 自訂AI ASIC
  • 全球深度學習晶片組市場現場可程式閘陣列(FPGA) 依類型、實際及預測細分，2019-2024 年、2024-2029 年、2034 年
  • 通用FPGA
  • AI最佳化的FPGA
  • 高效能 FPGA
  • 全球深度學習晶片組市場及其他細分市場，依類型、實際及預測，2019-2024 年、2024-2029 年、2034 年
  • 神經型態晶片
  • 量子晶片
  • 邊緣AI晶片
  • 混合晶片（結合不同的晶片結構）

第7章 區域和國家分析

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

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：公司簡介
    • 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 其他大型創新企業

  • 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 高市場潛力國家、細分市場與策略

  • 2029年深度學習晶片市場：哪些國家將帶來新機會
  • 2029年深度學習晶片市場：細分領域帶來新機會
  • 2029年深度學習晶片組市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第36章 附錄

簡介目錄
Product Code: r29951

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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
  • Assess the impact of key macro factors such as conflict, pandemic and recovery, inflation and interest rate environment and the 2nd Trump presidency.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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