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市場調查報告書
商品編碼
1672257

2025年全球人工智慧硬體市場報告

AI In Hardware Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

預計未來幾年AI硬體市場規模將呈指數級成長。到 2029 年，這一數字將成長至 727.7 億美元，複合年成長率為 23.4%。預測期內的成長歸因於快速的都市化、網路普及率的提高、智慧城市的興起、對自動駕駛汽車的需求不斷成長以及對雲端運算的需求不斷成長。預測期內的主要趨勢包括快速都市化、網路普及率提高、智慧城市興起、自動駕駛汽車需求成長以及雲端運算需求成長。

銀行、IT 和通訊領域對人工智慧硬體的日益普及預計將在未來幾年刺激人工智慧硬體市場的擴張。所有這些行業都在崛起，企業擴大採用人工智慧技術來加強業務、改善客戶體驗和促進創新。在業務，人工智慧硬體被應用於偵測和預防詐欺、管理風險和增強客戶服務。 IT 公司正在使用人工智慧硬體分析來自連接設備的大量資料，使他們能夠檢測異常並預測維護需求。同時，電信業者正在使用支援人工智慧的硬體即時分析網路流量，以識別和解決效能問題。例如，2022年5月，美國科技公司國際商業機器公司（IBM）報告稱，2022年全球35%的公司將使用人工智慧（AI），比2021年成長4%。此外，2022年採用人工智慧的組織數量與前一年同期比較增加了13%。因此，銀行、IT和通訊對AI硬體的整合正在推動AI硬體市場的成長。

由於網際網路的普及率不斷提高，AI硬體市場預計將會成長。網路普及率是衡量能夠上網的人口百分比的指標，在推動人工智慧硬體發展方面發揮關鍵作用。它促進資料存取、支援雲端運算、促進協作並實現遠端存取人工智慧服務，有助於人工智慧應用在各個行業的廣泛部署。根據歐睿國際的報告，到2022年，全球60%的人口將能夠使用網路。預測顯示，全球網路普及率將大幅提升，到 2027年終將達到 71%。這一預計的成長意味著未來五年全球網路用戶數量可能會增加 10 億。因此，預計網際網路普及率的提高將在預測期內對人工智慧硬體市場的成長產生積極影響。

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、通膨、地緣政治、新冠疫情、經濟復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球人工智慧硬體PESTEL分析（政治、社會、科技、環境、法律因素、促進因素、限制因素）
  • 最終用途產業分析
  • 全球人工智慧硬體市場：成長率分析
  • 全球人工智慧硬體市場表現：規模與成長，2019-2024
  • 全球人工智慧硬體市場預測：2024-2029 年及 2034 年規模與成長
  • 全球人工智慧硬體總目標市場（TAM）

第6章市場區隔

  • 全球人工智慧硬體市場類型、效能及預測（2019-2024 年、2024-2029 年及 2034 年）
  • 處理器
  • 記憶網路
  • 貯存
  • 全球人工智慧硬體市場：按部署、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 雲
  • 本地
  • 全球人工智慧硬體市場（按技術、效能和預測），2019-2024 年、2024-2029 年、2034 年
  • 機器學習
  • 電腦視覺
  • 自然語言處理
  • 專家系統
  • 全球人工智慧硬體市場（按應用、效能和預測），2019-2024 年、2024-2029 年、2034 年
  • 訓練與模擬
  • 駕駛員監控系統
  • 監控與安全
  • 其他用途
  • 全球人工智慧硬體市場：按最終用戶、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 通訊和IT（資訊科技）產業
  • 銀行及金融業
  • 電子商務
  • 機器人技術
  • 衛生保健
  • 其他最終用戶
  • 全球人工智慧硬體市場，處理器細分，按類型、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 圖形處理單元 (GPU)
  • 張量處理單元 (TPU)
  • 現場可程式閘陣列（FPGA）
  • 專用積體電路 (ASIC)
  • 全球人工智慧硬體市場、記憶體網路細分、類型、效能及預測（2019-2024 年、2024-2029 年預測、2034 年預測）
  • 高頻寬記憶體 (HBM)
  • 動態隨機存取記憶體（DRAM）
  • 非揮發性記憶體（NVM）
  • 全球人工智慧硬體市場儲存細分，按類型、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 固態硬碟 (SSD)
  • 硬碟機 (HDD)
  • 雲端儲存解決方案

第7章 區域和國家分析

  • 全球人工智慧硬體市場：按地區、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 全球人工智慧硬體市場：依國家、表現及預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章競爭格局與公司概況

  • 人工智慧硬體市場：競爭格局
  • 人工智慧硬體市場：公司簡介
    • Qualcomm Technologies Overview, Products and Services, Strategy and Financial Analysis
    • Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Micron Technology Overview, Products and Services, Strategy and Financial Analysis
    • NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Huawei Technologies Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型創新企業

  • Intel
  • Apple Inc.
  • IBM
  • Advanced Micro Devices Inc.
  • Samsung Electronics Co. Ltd.
  • Xilinx
  • Cambricon Technologies
  • Graphcore
  • Kalray
  • Mipsology
  • BrainChip Holdings
  • LightOn
  • Synetec
  • Imobisoft
  • Light IT Global

第 32 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

  • 2029 年人工智慧硬體市場：哪些國家將帶來新機會
  • 2029 年人工智慧硬體市場：細分領域蘊藏新機會
  • 2029 年人工智慧硬體市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第36章 附錄

簡介目錄
Product Code: r25433

AI in hardware denotes the integration of artificial intelligence (AI) technologies within hardware devices or systems, leveraging machine learning algorithms, deep learning models, and diverse AI techniques. This integration aims to elevate the functionality, efficiency, and overall performance of hardware devices, encompassing computers, smartphones, and Internet of Things (IoT) devices.

The primary categories of AI in hardware comprise processors, memory networks, and storage systems. A processor, often referred to as a central processing unit (CPU), functions as the electronic core responsible for executing tasks within computers and electronic devices. These AI-equipped hardware solutions span both cloud-based and on-premise deployments, harnessing technologies such as machine learning, computer vision, natural language processing, and expert systems. They find application across various sectors, including but not limited to telecommunications, IT industries, banking and finance, education, e-commerce, navigation, robotics, agriculture, healthcare, and more. These applications serve diverse purposes such as training and simulation, driver monitoring systems, surveillance and security, among others.

The AI in hardware market research report is one of a series of new reports from The Business Research Company that provides AI in hardware market statistics, including AI in hardware industry global market size, regional shares, competitors with AI in hardware market share, detailed AI in hardware market segments, market trends and opportunities, and any further data you may need to thrive in the AI in hardware industry. This AI in hardware 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 AI in hardware market size has grown exponentially in recent years. It will grow from $25.45 billion in 2024 to $31.36 billion in 2025 at a compound annual growth rate (CAGR) of 23.2%. The growth in the historic period can be attributed to strong economic growth in emerging markets, an increase in penetration of smartphones, and a rise in the adoption of AI hardware in banking, and IT and telecom.

The AI in hardware market size is expected to see exponential growth in the next few years. It will grow to $72.77 billion in 2029 at a compound annual growth rate (CAGR) of 23.4%. The growth in the forecast period can be attributed to rapid urbanization, increasing penetration of the Internet, increase in smart cities, increasing demand for autonomous vehicles, and growing demand for cloud computing. Major trends in the forecast period include rapid urbanization, increasing penetration of the Internet, increase in smart cities, increasing demand for autonomous vehicles, and growing demand for cloud computing.

The growing adoption of AI hardware within the banking, IT, and telecom sectors is anticipated to fuel the expansion of the AI hardware market in the future. These sectors are all on an upward trajectory and are increasingly utilizing AI technologies to enhance operations, improve customer experiences, and foster innovation. In banking, AI hardware is employed to strengthen fraud detection and prevention, risk management, and customer service. IT firms leverage AI hardware to analyze vast amounts of data from connected devices, enabling them to detect anomalies and predict maintenance needs. Meanwhile, telecom companies utilize AI-enabled hardware to analyze network traffic in real-time, identifying and resolving performance issues. For example, in May 2022, the International Business Machines Corporation (IBM), a US-based technology company, reported that 35% of businesses globally utilized artificial intelligence (AI) in 2022, marking a 4% increase from 2021. Additionally, there was a 13% rise in organizations adopting AI in 2022 compared to the previous year. As a result, the integration of AI hardware in banking, IT, and telecom is propelling the growth of the AI hardware market.

The AI hardware market is expected to experience growth propelled by the expanding reach of the internet. Internet penetration, a measure of the percentage of the population with access to the internet, plays a pivotal role in advancing AI in hardware. It facilitates data access, supports cloud computing, encourages collaboration, enables remote access to AI services, and contributes to the widespread deployment of AI applications across diverse industries. In 2022, 60% of the global population had internet access, as reported by Euromonitor International. Projections indicate a significant increase in the global online penetration rate, reaching 71% by the end of 2027. This anticipated growth suggests an additional billion internet users worldwide within the next five years. Consequently, the rising internet penetration is expected to have a positive impact on the growth of the AI in hardware market during the forecast period.

Leading companies in the AI hardware market are concentrating on technological advancements, such as AI accelerators, to enhance computational efficiency and speed for complex AI tasks, including deep learning and real-time inference. An AI accelerator is a specialized hardware component aimed at optimizing the performance of artificial intelligence tasks like machine learning, deep learning, and neural network processing. For example, in October 2024, Advanced Micro Devices, Inc. (AMD), a US-based multinational corporation and fabless semiconductor company, launched the Instinct MI325X AI accelerator, built on the CDNA 3 architecture. This accelerator features 256GB of HBM3E memory and a bandwidth of 6.0 TB/s, designed to outpace NVIDIA's H200 in terms of memory capacity, bandwidth, and performance. This energy-efficient accelerator is tailored to support large-scale AI models, reinforcing AMD's competitive position against industry leaders Intel and NVIDIA in the AI hardware market.

Companies in the AI in hardware market are strategically incorporating robotics and artificial intelligence, particularly in manufacturing and industrial automation. AI hardware plays a pivotal role in tasks such as machine vision, quality control, and precision control of robotic arms within these sectors. The growth of manufacturing and industrial automation sectors is driving increased demand for AI processing units and controllers. In May 2023, OSARO, a US-based company specializing in robotics and artificial intelligence, introduced an AI-powered robotic kitting system tailored to meet the demands of the expanding subscription market. This system automates the kitting process, involving the assembly of individual items into kits or packages. OSARO's Robotic Kitting System integrates AI with modular hardware, including grippers, robot arms, and sensors, showcasing the industry's commitment to advancing AI applications in diverse fields.

In June 2023, Databricks, Inc., a US enterprise software company, completed the acquisition of MosaicMLL for $1.3 billion. This acquisition is aimed at enhancing Databricks' generative AI capabilities by integrating MosaicMLL's models, training, and inference capabilities into its enterprise-focused lakehouse platform. MosaicMLL, a US company, specializes in providing complex systems and hardware to facilitate the development and training of large, intricate generative AI models for customers.

Major companies operating in the AI in hardware market include Qualcomm Technologies, Alphabet Inc., Micron Technology, NVIDIA Corporation, Huawei Technologies Co. Ltd.,Intel, Apple Inc., IBM, Advanced Micro Devices Inc., Samsung Electronics Co. Ltd., Xilinx, Cambricon Technologies, Graphcore, Kalray, Mipsology, BrainChip Holdings, LightOn, Synetec, Imobisoft, Light IT Global, Webol, Theodo, Digiryte, Innowise Group, Magora, Skyward Digital, GPU-Tech, Elvees NeoTek, Cogito Instruments, Trencadis Corp, Dell Technology Inc., Amazon Web Services, Inc., Open AI, Empiria.ai, NetuxLab, Tellumat, DataProphet, Cortex Logic, JUMO, Xineoh, Clevva

North America was the largest region in the AI in hardware market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in hardware market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The AI in hardware market consists of revenues earned by entities by provide AI in hardware services such as AI-optimized hardware design, AI consulting, AI accelerators, and cloud-based AI services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in hardware market also includes sales of AI chips and processors, robotics hardware, graphics processing units (GPUs), AI central processing units (CPUs), tensor processing units (TPUs), and AI processors that are used in providing AI in hardware services. 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.

AI In Hardware 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 ai in hardware 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 ai in hardware ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The ai in hardware 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: Processor, Memory Network, Storage
  • 2) By Deployment: Cloud, On-Premise
  • 3) By Technology: Machine Learning, Computer Vision, Natural Language Processing, Expert Systems
  • 4) By Application: Training And Simulation, Driver Monitoring Systems, Surveillance And Security, Other Applications
  • 5) By End User: Telecommunication And IT (Information Technology) Industry, Banking And Finance Sectors, Ecommerce, Robotics, Healthcare, Other End Users
  • Subsegments:
  • 1) By Processor: Graphics Processing Units (GPUs); Tensor Processing Units (TPUs); Field-Programmable Gate Arrays (FPGAs); Application-Specific Integrated Circuits (ASICs)
  • 2) By Memory Network: High Bandwidth Memory (HBM); Dynamic Random-Access Memory (DRAM); Non-Volatile Memory (NVM)
  • 3) By Storage: Solid State Drives (SSDs); Hard Disk Drives (HDDs); Cloud Storage Solutions
  • Companies Mentioned: Qualcomm Technologies; Alphabet Inc.; Micron Technology; NVIDIA Corporation; Huawei Technologies Co. Ltd.
  • 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. AI In Hardware Market Characteristics

3. AI In Hardware Market Trends And Strategies

4. AI In Hardware Market - Macro Economic Scenario including the impact of Interest Rates, Inflation, Geopolitics and Covid And Recovery on the Market

5. Global AI In Hardware Growth Analysis And Strategic Analysis Framework

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

6. AI In Hardware Market Segmentation

  • 6.1. Global AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Processor
  • Memory Network
  • Storage
  • 6.2. Global AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud
  • On-Premise
  • 6.3. Global AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Expert Systems
  • 6.4. Global AI In Hardware Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Training And Simulation
  • Driver Monitoring Systems
  • Surveillance And Security
  • Other Applications
  • 6.5. Global AI In Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Telecommunication And IT (Information Technology) Industry
  • Banking And Finance Sectors
  • Ecommerce
  • Robotics
  • Healthcare
  • Other End Users
  • 6.6. Global AI In Hardware Market, Sub-Segmentation Of Processor, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Graphics Processing Units (GPUs)
  • Tensor Processing Units (TPUs)
  • Field-Programmable Gate Arrays (FPGAs)
  • Application-Specific Integrated Circuits (ASICs)
  • 6.7. Global AI In Hardware Market, Sub-Segmentation Of Memory Network, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • High Bandwidth Memory (HBM)
  • Dynamic Random-Access Memory (DRAM)
  • Non-Volatile Memory (NVM)
  • 6.8. Global AI In Hardware Market, Sub-Segmentation Of Storage, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Solid State Drives (SSDs)
  • Hard Disk Drives (HDDs)
  • Cloud Storage Solutions

7. AI In Hardware Market Regional And Country Analysis

  • 7.1. Global AI In Hardware Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global AI In Hardware Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific AI In Hardware Market

  • 8.1. Asia-Pacific AI In Hardware 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 AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI In Hardware Market

  • 9.1. China AI In Hardware Market Overview
  • 9.2. China AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI In Hardware Market

  • 10.1. India AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI In Hardware Market

  • 11.1. Japan AI In Hardware Market Overview
  • 11.2. Japan AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI In Hardware Market

  • 12.1. Australia AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI In Hardware Market

  • 13.1. Indonesia AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI In Hardware Market

  • 14.1. South Korea AI In Hardware Market Overview
  • 14.2. South Korea AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI In Hardware Market

  • 15.1. Western Europe AI In Hardware Market Overview
  • 15.2. Western Europe AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI In Hardware Market

  • 16.1. UK AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI In Hardware Market

  • 17.1. Germany AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI In Hardware Market

  • 18.1. France AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI In Hardware Market

  • 19.1. Italy AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI In Hardware Market

  • 20.1. Spain AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI In Hardware Market

  • 21.1. Eastern Europe AI In Hardware Market Overview
  • 21.2. Eastern Europe AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI In Hardware Market

  • 22.1. Russia AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI In Hardware Market

  • 23.1. North America AI In Hardware Market Overview
  • 23.2. North America AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI In Hardware Market

  • 24.1. USA AI In Hardware Market Overview
  • 24.2. USA AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI In Hardware Market

  • 25.1. Canada AI In Hardware Market Overview
  • 25.2. Canada AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI In Hardware Market

  • 26.1. South America AI In Hardware Market Overview
  • 26.2. South America AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI In Hardware Market

  • 27.1. Brazil AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI In Hardware Market

  • 28.1. Middle East AI In Hardware Market Overview
  • 28.2. Middle East AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI In Hardware Market

  • 29.1. Africa AI In Hardware Market Overview
  • 29.2. Africa AI In Hardware Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa AI In Hardware Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa AI In Hardware Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. AI In Hardware Market Competitive Landscape And Company Profiles

  • 30.1. AI In Hardware Market Competitive Landscape
  • 30.2. AI In Hardware Market Company Profiles
    • 30.2.1. Qualcomm Technologies Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Micron Technology Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Huawei Technologies Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis

31. AI In Hardware Market Other Major And Innovative Companies

  • 31.1. Intel
  • 31.2. Apple Inc.
  • 31.3. IBM
  • 31.4. Advanced Micro Devices Inc.
  • 31.5. Samsung Electronics Co. Ltd.
  • 31.6. Xilinx
  • 31.7. Cambricon Technologies
  • 31.8. Graphcore
  • 31.9. Kalray
  • 31.10. Mipsology
  • 31.11. BrainChip Holdings
  • 31.12. LightOn
  • 31.13. Synetec
  • 31.14. Imobisoft
  • 31.15. Light IT Global

32. Global AI In Hardware Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI In Hardware Market

34. Recent Developments In The AI In Hardware Market

35. AI In Hardware Market High Potential Countries, Segments and Strategies

  • 35.1 AI In Hardware Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 AI In Hardware Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 AI In Hardware 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