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市场调查报告书
商品编码
1704091

2025年深度学习晶片组全球市场报告

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个工作天内

价格
简介目录

预计未来几年深度学习晶片组市场规模将呈指数级增长。到 2029 年，这一数字将成长至 321.1 亿美元，复合年增长率为 27.6%。预测期内的成长可归因于自主系统的成长、5G 技术的出现、对能源效率的日益关注、物联网的采用率的提高以及对汽车的需求的不断增长。预测期内的关键趋势包括神经形态运算的进步、人工智慧硬体的客製化、对节能人工智慧解决方案的关注、人工智慧医疗设备的进步以及云端基础的技术的采用。

深度学习晶片组市场预计将受益于物联网 (IoT) 设备的日益普及。物联网设备配备了感测器、软体和其他用于互联网连接和资料交换的技术，由于感测器成本下降、人工智慧的进步、自动化需求的增加以及智慧型装置和 5G 网路的广泛采用，物联网设备正在不断扩张。这些设备会产生大量对于训练深度学习模型至关重要的资料，而深度学习晶片组会对这些数据进行高效处理，从而增强人工智慧能力。这些晶片组专为高速处理而设计，可在广泛的应用中实现关键的即时分析和决策。例如，爱立信在2022年9月报告称，预计2022年全球物联网连接数将达到132亿，2028年将达到347亿，成长18%。物联网应用的成长预计将推动对深度学习晶片组的需求。

深度学习晶片组市场的关键参与者正在开发深度学习处理器等先进产品，以提高复杂人工智慧任务的运算效率和处理速度。深度学习处理器旨在加速与深度学习相关的任务，它利用多层神经网路进行资料分析。例如，美国人工智慧处理器製造商 Habana Labs Ltd. 于 2022 年 5 月发布了第二代深度学习处理器 Habana Gaudi2 Training 和 Habanab Greco。 Habana Gaudi2 的吞吐量是 Nvidia A100 GPU 的两倍，配备 24 个张量处理器核心、96GB HBM2E 记忆体和 24 个Gigabit RDMA 连接。 Habanab Greco 预计将比其前代产品实现显着的速度提升，与 Gaudi2 的进步相匹配。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场 - 宏观经济情景，包括利率、感染疾病、地缘政治、新冠疫情、经济復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球深度学习晶片组 PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 最终用途产业分析
  • 全球深度学习晶片组市场：成长率分析
  • 全球深度学习晶片组市场表现：规模与成长，2019-2024
  • 全球深度学习晶片组市场预测：规模与成长，2024-2029 年，2034 年
  • 全球深度学习晶片组总目标市场（TAM）

第六章市场区隔

  • 全球深度学习晶片组市场：按类型、性能和预测，2019-2024 年、2024-2029 年、2034 年
  • 图形处理单元 (GPU)
  • 中央处理器（CPU）
  • 专用积体电路（ASIC）
  • 现场可程式闸阵列（FPGA）
  • 其他类型
  • 全球深度学习晶片组市场：依技术、效能与预测，2019-2024 年、2024-2029 年、2034 年
  • 系统晶片(SOC)
  • 系统级封装(SIP)
  • 多晶片模组
  • 其他技术
  • 全球深度学习晶片组市场（依运算能力、效能及预测），2019-2024 年、2024-2029 年、2034 年
  • 昂贵的
  • 低的
  • 全球深度学习晶片组市场：依最终用户产业、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 卫生保健
  • 车
  • 零售
  • 银行、金融服务和保险（BFSI）
  • 製造业
  • 通讯
  • 活力
  • 其他最终用户产业
  • 全球深度学习晶片组市场按图形处理单元 (GPU) 类型、效能和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 消费级 GPU
  • 资料中心 GPU
  • 伺服器 GPU
  • 整合 GPU
  • 云端 GPU
  • 全球深度学习晶片组市场，按中央处理器 (CPU) 类型、效能和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 多核心CPU
  • 高效能CPU
  • 伺服器CPU
  • 消费级CPU
  • 全球深度学习晶片组市场，依专用积体电路 (ASIC) 类型细分，效能及预测，2019-2024 年、2024-2029 年、2034 年
  • 深度学习 ASIC
  • 张量处理单元 (TPU)
  • 加密货币挖矿ASIC
  • 自订AI ASIC
  • 全球深度学习晶片组市场现场可程式闸阵列(FPGA) 依类型、实际及预测细分，2019-2024 年、2024-2029 年、2034 年
  • 通用FPGA
  • AI优化的FPGA
  • 高效能 FPGA
  • 全球深度学习晶片组市场及其他细分市场，依类型、实际及预测，2019-2024 年、2024-2029 年、2034 年
  • 神经型态晶片
  • 量子晶片
  • 边缘AI晶片
  • 混合晶片（结合不同的晶片结构）

第七章 区域和国家分析

  • 全球深度学习晶片组市场：依地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 全球深度学习晶片组市场：按国家、性能和预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章竞争格局与公司概况

  • 深度学习晶片组市场：竞争格局
  • 深度学习晶片组市场：公司简介
    • 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 其他大型创新企业

  • 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 章全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

  • 2029年深度学习晶片市场：哪些国家将带来新机会
  • 2029年深度学习晶片市场：细分领域带来新机会
  • 2029年深度学习晶片组市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第36章 附录

简介目录
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.

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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