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市场调查报告书
商品编码
1847608

2025年全球机器学习晶片市场报告

Machine Learning Chip 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个工作天内

价格
简介目录

近年来,机器学习晶片的市场规模呈指数级增长,从2024年的211.2亿美元增长到2025年的287.8亿美元,复合年增长率高达36.3%。这一增长可归因于巨量资料分析的兴起、云端运算服务的日益普及、边缘运算的出现、人工智慧在各行业的应用成长以及物联网设备的扩展。

预计未来几年机器学习晶片市场将呈指数级增长,到2029年市场规模将达到1,021亿美元,复合年增长率(CAGR)高达37.2%。预测期内的成长主要归功于人工智慧在边缘设备的整合、人工智慧演算法复杂性的持续提升、对能源效率的日益重视、人工智慧应用范围的不断扩大以及全球对自主系统的大力推进。预测期内的关键趋势包括技术联盟与合作、人工智慧研发投入、人工智慧技术的进步、开放原始码硬体计画以及客製化和专业化。

未来五年37.2%的成长率预测较我们先前的预测略微下调了0.2%。这一下调主要是因为美国与其他国家之间的关税影响。关税的征收预计将严重阻碍美国人工智慧晶片技术的发展,因为它可能会限制美国从台湾、韩国和中国获取先进微影术设备和稀土材料,而这些设备和材料对于製造机器学习晶片至关重要。此外,由于相互关税措施以及贸易紧张局势和限制加剧对全球经济和贸易的负面影响,这种影响可能会更加广泛。

网路攻击的激增预计将推动机器学习晶片市场的成长。网路攻击涵盖针对电脑资讯系统、网路和个人设备的攻击性行动,从而推动了对先进网路安全措施的需求。机器学习晶片在这一领域发挥关键作用,它能够应用机器学习演算法,持续评估数据、识别模式、做出准确预测,并有效缓解潜在的网路威胁。 2023年2月,澳洲网路安全中心报告称,网路犯罪案件数量显着增加,2022年达到7.6万起,年增13%。此外,反钓鱼工作小组记录到钓鱼攻击事件也显着增加,2022年第一季发生10,25968起事件,较2021年第四季成长15%。网路威胁的激增正成为推动机器学习晶片市场扩张的驱动力。

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、通货膨胀、地缘政治、贸易战和关税,以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球机器学习晶片:PESTEL 分析(政治、社会、技术、环境、法律因素、驱动因素和限制因素)
  • 终端用户产业分析
  • 全球机器学习晶片市场:成长率分析
  • 全球机器学习晶片市场表现:规模与成长,2019-2024年
  • 全球机器学习晶片市场预测:规模与成长,2024-2029年,2034年预测
  • 全球机器学习晶片:潜在市场规模 (TAM)

第六章 市场细分

  • 全球机器学习晶片市场按晶片类型、性能和预测划分,2019-2024年、2024-2029年预测、2034年预测
  • 图形处理器(GPU)
  • 专用积体电路处理器(ASIC)
  • 现场可程式闸阵列(FPGA)
  • 中央处理器(CPU)
  • 其他晶片
  • 全球机器学习晶片市场:依技术、效能和预测划分,2019-2024年、2024-2029年预测、2034年预测
  • 系统晶片(SoC)
  • 系统级封装
  • 多晶片模组
  • 其他技术
  • 全球机器学习晶片市场:依产业、效能和预测划分,2019-2024年、2024-2029年预测、2034年预测
  • 银行、金融服务和保险(BFSI)
  • 资讯科技和通讯
  • 媒体与广告
  • 零售
  • 卫生保健
  • 其他行业
  • 全球机器学习晶片市场:按图形处理器 (GPU)、类型细分,实际值和预测值(2019-2024 年、2024-2029 年预测值、2034 年预测值)。
  • 专用GPU
  • 整合显示卡
  • 全球机器学习晶片市场:按专用积体电路 (ASIC)、类型细分,实际值和预测值(2019-2024 年、2024-2029 年预测值、2034 年预测值)。
  • 用于人工智慧的客製化专用积体电路
  • 通用专用积体电路
  • 全球机器学习晶片市场:按现场可程式闸阵列(FPGA) 和类型细分,实际值和预测值(2019-2024 年、2024-2029 年预测值、2034 年预测值)。
  • 可配置FPGA
  • 嵌入式FPGA
  • 全球机器学习晶片市场:按中央处理器 (CPU)、类型细分,实际值和预测值(2019-2024 年、2024-2029 年预测值、2034 年预测值)。
  • 多核心CPU
  • 高效能CPU
  • 全球机器学习晶片市场:依其他晶片类型细分,实际值及预测值(2019-2024年、2024-2029年预测值、2034年预测值)
  • 神经型态晶片
  • 数位讯号处理器(DSP)
  • 张量处理单元(TPU)

第七章 区域和国家分析

  • 全球机器学习晶片市场:按地区、效能和预测划分,2019-2024年、2024-2029年预测、2034年预测
  • 全球机器学习晶片市场:按国家、性能和预测划分,2019-2024 年、2024-2029 年预测、2034 年预测

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

第二十章: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

第三十章:竞争格局与公司概况

  • 机器学习晶片市场:竞争格局
  • 机器学习晶片市场:公司概况
    • Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • Tencent Holdings Limited Overview, Products and Services, Strategy and Financial Analysis
    • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Taiwan Semiconductor Manufacturing Company Limited(TSMC)Overview, Products and Services, Strategy and Financial Analysis

第31章:其他领先和创新企业

  • Intel Corporation
  • International Business Machines Corporation(IBM)
  • SoftBank Group Corp
  • Qualcomm Incorporated
  • Micron Technology, Inc.(US)
  • NVIDIA Corporation
  • Toshiba Corporation
  • Advanced Micro Devices Inc.
  • Texas Instruments Incorporated
  • Baidu Inc.
  • NXP Semiconductors
  • Synopsys Inc.
  • Lattice Semiconductor Corporation
  • Horizon Robotics
  • Hailo

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:高潜力市场国家、细分市场与策略

  • 2029年机器学习晶片市场:提供新机会的国家
  • 2029年机器学习晶片市场:新兴细分市场机会
  • 机器学习晶片市场展望(2029):成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r28446u

Machine-learning chips are dedicated hardware components specifically engineered to expedite the processing of machine-learning algorithms. These chips are designed to efficiently manage the intricate mathematical computations required for training and inference tasks associated with machine-learning models, outperforming general-purpose processors in these specialized tasks.

The primary types of machine learning chips include Graphics Processing Units (GPU), Application-Specific Processors (ASIC), Field-Programmable Gate Arrays (FPGA), Central Processing Units (CPU), and others. A Graphics Processing Unit (GPU) is a specialized electronic circuit designed to accelerate computer graphics and image processing. Various technologies associated with these chips include system-on-chip (SoC), system-in-package, multi-chip modules, and others. These chips find applications across diverse industry verticals, including banking, financial services, and insurance (BFSI), IT and telecom, media and advertising, retail, healthcare, automotive, 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 machine learning chip market research report is one of a series of new reports from The Business Research Company that provides machine learning chip market statistics, including machine learning chip industry global market size, regional shares, competitors with a machine learning chip market share, detailed machine learning chip market segments, market trends and opportunities, and any further data you may need to thrive in the machine learning chip industry. This machine learning chip market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The machine learning chip market size has grown exponentially in recent years. It will grow from $21.12 billion in 2024 to $28.78 billion in 2025 at a compound annual growth rate (CAGR) of 36.3%. The growth in the historic period can be attributed to rise in big data analytics, increasing adoption of cloud services, emergence of edge computing, growing ai applications across industries, expansion of iot devices.

The machine learning chip market size is expected to see exponential growth in the next few years. It will grow to $102.1 billion in 2029 at a compound annual growth rate (CAGR) of 37.2%. The growth in the forecast period can be attributed to integration of ai in edge devices, continued ai algorithm complexity, increased focus on energy efficiency, expanding scope of ai applications, global push for autonomous systems. Major trends in the forecast period include technological partnerships and collaborations, investments in ai research and development, advancements in ai technologies, open source hardware initiatives, customization and specialization.

The forecast of 37.2% growth over the next five years reflects a slight reduction of 0.2% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariff implementation is expected to significantly hinder U.S. advancements in AI chip technology, as it could restrict access to advanced lithography equipment and rare earth materials from Taiwan, South Korea, and China components vital for manufacturing machine learning chips. 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 surge in cyberattacks is anticipated to drive the growth of the machine learning chip market. Cyberattacks, encompassing offensive maneuvers targeting computer information systems, networks, and personal devices, prompt the need for advanced cybersecurity measures. Machine learning chips play a crucial role in this domain by enabling the application of machine learning algorithms to continuously assess data, recognize patterns, and make accurate predictions, effectively mitigating potential cyber threats. In February 2023, the Australian Cyber Security Centre reported a significant increase in cybercrime reports, reaching 76,000 in 2022, reflecting a 13% rise from the previous year. Additionally, the Anti-Phishing Working Group recorded a substantial uptick in phishing attacks, with 1,025,968 incidents in the first quarter of 2022, marking a 15% increase from the fourth quarter of 2021. This surge in cyber threats underscores the driving force behind the machine learning chip market's expansion.

Leading companies in the machine learning chip market are strategically focusing on developing innovative products to gain a competitive edge. Notably, Silicon Labs, a UK-based semiconductor manufacturing company, launched new AI/ML chips and a toolkit in January 2022. This initiative aims to enable the implementation of artificial intelligence (AI) and machine learning (ML) at the Internet of Things (IoT) edge. The wireless System-on-Chip (SoC) integrates an AI and machine learning accelerator, wireless radio, ultra-low-power capabilities, and support for IP-based connectivity protocols such as Matter and Zigbee, providing a comprehensive solution for edge-based AI and ML applications.

In October 2023, Advanced Micro Devices Inc., a US-based semiconductor company, made a strategic acquisition by purchasing Nod.AI for an undisclosed amount. This acquisition is expected to enhance Advanced Micro Devices Inc.'s capabilities in open AI software and reinforce its market position. Nod.ai, a US-based software company specializing in machine learning chip development, brings valuable expertise to Advanced Micro Devices Inc., aligning with the company's commitment to advancing AI technology and strengthening its overall portfolio in the semiconductor industry.

Major companies operating in the machine learning chip market report are Google LLC, Samsung Electronics Co. Ltd., Tencent Holdings Limited, Amazon Web Services Inc., Taiwan Semiconductor Manufacturing Company Limited (TSMC), Intel Corporation, International Business Machines Corporation (IBM), SoftBank Group Corp, Qualcomm Incorporated, Micron Technology, Inc. (US), NVIDIA Corporation, Toshiba Corporation, Advanced Micro Devices Inc., Texas Instruments Incorporated, Baidu Inc., NXP Semiconductors, Synopsys Inc., Lattice Semiconductor Corporation, Horizon Robotics, Hailo, Cerebras Inc., BitMain Technologies Holding Company, Graphcore, Mythic, Gyrfalcon Technology, Flex Logix Technologies, Wave Computing, Inc., Esperanto Technologies, BrainChip Holdings

North America was the largest region in the machine learning chip market in 2024. The regions covered in the machine learning chip market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The machine learning chip market consists of sales of neural processing units (NPU), graphical processing units (GPU), control units (CU), arithmetic logic units (ALU), address generation units (AGU), and memory management units (MMU). 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.

Machine Learning Chip 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 machine learning chip 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

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  • Create regional and country strategies on the basis of local data and analysis.
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Where is the largest and fastest growing market for machine learning chip ? 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 machine learning chip 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 Chip Type: Graphics Processing Unit (GPU); Application-Specific Processor (ASIC); Field Programmable Gate Array (FPGA); Central Processing Unit (CPU); Other Chips
  • 2) By Technology: System-On-Chip (SoC); System-In-Package; Multi-Chip Module; Other Technologies
  • 3) By Industry Vertical: Banking, Financial Services, And Insurance (BFSI); IT And Telecom; Media And Advertising; Retail; Healthcare; Automotive; Other Industry Verticals
  • Subsegments:
  • 1) By Graphics Processing Unit (GPU): Dedicated GPUs; Integrated GPUs
  • 2) By Application-Specific Integrated Circuit (ASIC): Custom ASICs For AI; General-Purpose ASICs
  • 3) By Field Programmable Gate Array (FPGA): Configurable FPGAs; Embedded FPGAs
  • 4) By Central Processing Unit (CPU): Multi-Core CPUs; High-Performance CPUs
  • 5) By Other Chips: Neuromorphic Chips; Digital Signal Processors (DSP); Tensor Processing Units (TPU)
  • Companies Mentioned: Google LLC; Samsung Electronics Co. Ltd.; Tencent Holdings Limited; Amazon Web Services Inc.; Taiwan Semiconductor Manufacturing Company Limited (TSMC); Intel Corporation; International Business Machines Corporation (IBM); SoftBank Group Corp; Qualcomm Incorporated; Micron Technology, Inc. (US); NVIDIA Corporation; Toshiba Corporation; Advanced Micro Devices Inc.; Texas Instruments Incorporated; Baidu Inc.; NXP Semiconductors; Synopsys Inc.; Lattice Semiconductor Corporation; Horizon Robotics; Hailo; Cerebras Inc.; BitMain Technologies Holding Company; Graphcore; Mythic; Gyrfalcon Technology; Flex Logix Technologies; Wave Computing, Inc.; Esperanto Technologies; BrainChip Holdings
  • 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. Machine Learning Chip Market Characteristics

3. Machine Learning Chip Market Trends And Strategies

4. Machine Learning Chip 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 Machine Learning Chip Growth Analysis And Strategic Analysis Framework

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

6. Machine Learning Chip Market Segmentation

  • 6.1. Global Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Graphics Processing Unit (GPU)
  • Application-Specific Processor (ASIC)
  • Field Programmable Gate Array (FPGA)
  • Central Processing Unit (CPU)
  • Other Chips
  • 6.2. Global Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • System-On-Chip (SoC)
  • System-In-Package
  • Multi-Chip Module
  • Other Technologies
  • 6.3. Global Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Banking, Financial Services, And Insurance (BFSI)
  • IT And Telecom
  • Media And Advertising
  • Retail
  • Healthcare
  • Automotive
  • Other Industry Verticals
  • 6.4. Global Machine Learning Chip Market, Sub-Segmentation Of Graphics Processing Unit (GPU), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Dedicated GPUs
  • Integrated GPUs
  • 6.5. Global Machine Learning Chip Market, Sub-Segmentation Of Application-Specific Integrated Circuit (ASIC), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Custom ASICs For AI
  • General-Purpose ASICs
  • 6.6. Global Machine Learning Chip Market, Sub-Segmentation Of Field Programmable Gate Array (FPGA), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Configurable FPGAs
  • Embedded FPGAs
  • 6.7. Global Machine Learning Chip Market, Sub-Segmentation Of Central Processing Unit (CPU), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Multi-Core CPUs
  • High-Performance CPUs
  • 6.8. Global Machine Learning Chip Market, Sub-Segmentation Of Other Chips, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Neuromorphic Chips
  • Digital Signal Processors (DSP)
  • Tensor Processing Units (TPU)

7. Machine Learning Chip Market Regional And Country Analysis

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

8. Asia-Pacific Machine Learning Chip Market

  • 8.1. Asia-Pacific Machine Learning Chip 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 Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Machine Learning Chip Market

  • 9.1. China Machine Learning Chip Market Overview
  • 9.2. China Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Machine Learning Chip Market

  • 10.1. India Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Machine Learning Chip Market

  • 11.1. Japan Machine Learning Chip Market Overview
  • 11.2. Japan Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Machine Learning Chip Market

  • 12.1. Australia Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Machine Learning Chip Market

  • 13.1. Indonesia Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Machine Learning Chip Market

  • 14.1. South Korea Machine Learning Chip Market Overview
  • 14.2. South Korea Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Machine Learning Chip Market

  • 15.1. Western Europe Machine Learning Chip Market Overview
  • 15.2. Western Europe Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Machine Learning Chip Market

  • 16.1. UK Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Machine Learning Chip Market

  • 17.1. Germany Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Machine Learning Chip Market

  • 18.1. France Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Machine Learning Chip Market

  • 19.1. Italy Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Machine Learning Chip Market

  • 20.1. Spain Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Machine Learning Chip Market

  • 21.1. Eastern Europe Machine Learning Chip Market Overview
  • 21.2. Eastern Europe Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Machine Learning Chip Market

  • 22.1. Russia Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Machine Learning Chip Market

  • 23.1. North America Machine Learning Chip Market Overview
  • 23.2. North America Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Machine Learning Chip Market

  • 24.1. USA Machine Learning Chip Market Overview
  • 24.2. USA Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Machine Learning Chip Market

  • 25.1. Canada Machine Learning Chip Market Overview
  • 25.2. Canada Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Machine Learning Chip Market

  • 26.1. South America Machine Learning Chip Market Overview
  • 26.2. South America Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Machine Learning Chip Market

  • 27.1. Brazil Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Machine Learning Chip Market

  • 28.1. Middle East Machine Learning Chip Market Overview
  • 28.2. Middle East Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Machine Learning Chip Market

  • 29.1. Africa Machine Learning Chip Market Overview
  • 29.2. Africa Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Machine Learning Chip Market Competitive Landscape And Company Profiles

  • 30.1. Machine Learning Chip Market Competitive Landscape
  • 30.2. Machine Learning Chip Market Company Profiles
    • 30.2.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Tencent Holdings Limited Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Taiwan Semiconductor Manufacturing Company Limited (TSMC) Overview, Products and Services, Strategy and Financial Analysis

31. Machine Learning Chip Market Other Major And Innovative Companies

  • 31.1. Intel Corporation
  • 31.2. International Business Machines Corporation (IBM)
  • 31.3. SoftBank Group Corp
  • 31.4. Qualcomm Incorporated
  • 31.5. Micron Technology, Inc. (US)
  • 31.6. NVIDIA Corporation
  • 31.7. Toshiba Corporation
  • 31.8. Advanced Micro Devices Inc.
  • 31.9. Texas Instruments Incorporated
  • 31.10. Baidu Inc.
  • 31.11. NXP Semiconductors
  • 31.12. Synopsys Inc.
  • 31.13. Lattice Semiconductor Corporation
  • 31.14. Horizon Robotics
  • 31.15. Hailo

32. Global Machine Learning Chip Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Machine Learning Chip Market

34. Recent Developments In The Machine Learning Chip Market

35. Machine Learning Chip Market High Potential Countries, Segments and Strategies

  • 35.1 Machine Learning Chip Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Machine Learning Chip Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Machine Learning Chip 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