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市場調查報告書
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1847608

2025年全球機器學習晶片市場報告

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個工作天內

價格
簡介目錄

近年來，機器學習晶片的市場規模呈指數級成長，從2024年的211.2億美元成長到2025年的287.8億美元，複合年成長率高達36.3%。這一成長可歸因於巨量資料分析的興起、雲端運算服務的日益普及、邊緣運算的出現、人工智慧在各行業的應用成長以及物聯網設備的擴展。

預計未來幾年機器學習晶片市場將呈指數級成長，到2029年市場規模將達到1,021億美元，複合年成長率（CAGR）高達37.2%。預測期內的成長主要歸功於人工智慧在邊緣設備的整合、人工智慧演算法複雜性的持續提升、對能源效率的日益重視、人工智慧應用範圍的不斷擴大以及全球對自主系統的大力推進。預測期內的關鍵趨勢包括技術聯盟與合作、人工智慧研發投入、人工智慧技術的進步、開放原始碼硬體計畫以及客製化和專業化。

未來五年37.2%的成長率預測較我們先前的預測略微下調了0.2%。這一下調主要是因為美國與其他國家之間的關稅影響。關稅的徵收預計將嚴重阻礙美國人工智慧晶片技術的發展，因為它可能會限制美國從台灣、韓國和中國獲取先進微影術設備和稀土材料，而這些設備和材料對於製造機器學習晶片至關重要。此外，由於相互關稅措施以及貿易緊張局勢和限制加劇對全球經濟和貿易的負面影響，這種影響可能會更加廣泛。

網路攻擊的激增預計將推動機器學習晶片市場的成長。網路攻擊涵蓋針對電腦資訊系統、網路和個人設備的攻擊性行動，從而推動了對先進網路安全措施的需求。機器學習晶片在這一領域發揮關鍵作用，它能夠應用機器學習演算法，持續評估數據、識別模式、做出準確預測，並有效緩解潛在的網路威脅。 2023年2月，澳洲網路安全中心報告稱，網路犯罪案件數量顯著增加，2022年達到7.6萬起，年增13%。此外，反釣魚工作小組記錄到釣魚攻擊事件也顯著增加，2022年第一季發生10,25968起事件，較2021年第四季成長15%。網路威脅的激增正成為推動機器學習晶片市場擴張的驅動力。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

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

第5章 全球成長分析與策略分析框架

  • 全球機器學習晶片：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 終端用戶產業分析
  • 全球機器學習晶片市場：成長率分析
  • 全球機器學習晶片市場表現：規模與成長，2019-2024年
  • 全球機器學習晶片市場預測：規模與成長，2024-2029年，2034年預測
  • 全球機器學習晶片：潛在市場規模 (TAM)

第6章 市場細分

  • 全球機器學習晶片市場按晶片類型、性能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 圖形處理器（GPU）
  • 專用積體電路處理器（ASIC）
  • 現場可程式閘陣列（FPGA）
  • 中央處理器（CPU）
  • 其他晶片
  • 全球機器學習晶片市場：依技術、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 系統晶片（SoC）
  • 系統級封裝
  • 多晶片模組
  • 其他技術
  • 全球機器學習晶片市場：依產業、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 銀行、金融服務和保險（BFSI）
  • 資訊科技和通訊
  • 媒體與廣告
  • 零售
  • 衛生保健
  • 車
  • 其他行業
  • 全球機器學習晶片市場：按圖形處理器 (GPU)、類型細分，實際值和預測值（2019-2024 年、2024-2029 年預測值、2034 年預測值）。
  • 專用GPU
  • 整合顯示卡
  • 全球機器學習晶片市場：按專用積體電路 (ASIC)、類型細分，實際值和預測值（2019-2024 年、2024-2029 年預測值、2034 年預測值）。
  • 用於人工智慧的客製化專用積體電路
  • 通用專用積體電路
  • 全球機器學習晶片市場：按現場可程式閘陣列(FPGA) 和類型細分，實際值和預測值（2019-2024 年、2024-2029 年預測值、2034 年預測值）。
  • 可配置FPGA
  • 嵌入式FPGA
  • 全球機器學習晶片市場：按中央處理器 (CPU)、類型細分，實際值和預測值（2019-2024 年、2024-2029 年預測值、2034 年預測值）。
  • 多核心CPU
  • 高效能CPU
  • 全球機器學習晶片市場：依其他晶片類型細分，實際值及預測值（2019-2024年、2024-2029年預測值、2034年預測值）
  • 神經型態晶片
  • 數位訊號處理器（DSP）
  • 張量處理單元（TPU）

第7章 區域和國家分析

  • 全球機器學習晶片市場：按地區、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 全球機器學習晶片市場：按國家、性能和預測分類，2019-2024 年、2024-2029 年預測、2034 年預測

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 機器學習晶片市場：競爭格局
  • 機器學習晶片市場：公司概況
    • 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：其他領先和創新企業

  • 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 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年機器學習晶片市場：提供新機會的國家
  • 2029年機器學習晶片市場：新興細分市場機會
  • 機器學習晶片市場展望（2029）：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
Product Code: 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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  • Benchmark performance against key competitors.
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  • 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 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