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市场调查报告书
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1843740

2025年全球人工智慧硬体市场报告

AI In Hardware 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

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简介目录

近年来，人工智慧硬体市场规模呈指数级增长，从2024年的254.5亿美元成长到2025年的312.1亿美元，复合年增长率达22.6%。预测期内的成长可归因于新兴市场强劲的经济成长、智慧型手机普及率的提高以及银行业、IT和通讯对人工智慧硬体的日益普及。

预计未来几年人工智慧硬体市场规模将呈指数级增长，到2029年将达到719.9亿美元，复合年增长率（CAGR）为23.2%。预测期内的成长主要归功于快速的都市化、网路普及率的提高、智慧城市的兴起、自动驾驶汽车需求的成长以及云端运算需求的上升。预测期内的关键趋势包括快速的都市化、互联网普及率的提高、智慧城市的兴起、自动驾驶汽车需求的增长以及云端运算需求的上升。

AI 硬体是指将人工智慧 (AI) 技术整合到硬体设备和系统中，利用机器学习演算法、深度学习模型和各种 AI 技术，以提高硬体设备（包括电脑、智慧型手机和物联网 (IoT) 设备）的功能、效率和整体效能。

人工智慧硬体主要分为处理器、记忆体网路和储存三大类。处理器，通常被称为中央处理器（CPU），是电脑和电子设备中执行任务的电子核心。人工智慧硬体解决方案既可以部署在云端基础，也可以部署在本地，并利用机器学习、电脑视觉、自然语言处理和专家系统等技术。其应用领域十分广泛，涵盖通讯和IT、银行与金融、教育、电子商务、导航、机器人、农业和医疗保健等。这些应用服务于多种用途，包括训练和模拟、驾驶员监控系统、监控和安防等。

美国2025年关税上调及其引发的贸易紧张局势正对资讯科技产业产生重大影响，尤其是在硬体製造、资料基础设施和软体部署方面。进口半导体、电路基板和网路设备的关税提高，并推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品的公司正面临更长的前置作业时间和价格压力。同时，对专用软体征收的关税以及主要国际市场的报復性措施正在扰乱全球IT供应链，并降低海外对美国製造技术的需求。为应对这些挑战，该行业正在加大对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化来增强韧性并简化成本管理。

本研究报告是商业研究公司（The Business Research Company）全新系列报告的一部分，提供人工智慧硬体市场统计数据，例如全球市场规模、区域份额、竞争对手及其市场份额、详细的市场细分、市场趋势和商业机会，为您在人工智慧硬体行业取得成功提供所需数据。本人工智慧硬体市场研究报告对该行业的现状和未来发展趋势进行了详细分析，为您提供全面观点所需的一切资讯。

未来五年23.2%的成长率预测较我们先前的预测略微下调了0.2%。这一下调主要归因于美国与其他国家之间的关税影响。这可能会直接影响美国，因为美国可能会提高从中国和越南进口的人工智慧晶片和机器人零件的关税，从而扰乱国内智慧设备的生产。此外，由于相互关税措施以及贸易紧张局势和限制措施加剧对全球经济和贸易的负面影响，其影响范围也将更加广泛。

银行业、IT 和通讯业对人工智慧硬体的日益普及预计将推动未来人工智慧硬体市场的扩张。所有这些行业都在蓬勃发展，并越来越多地利用人工智慧技术来提升营运效率、改善客户体验和促进创新。在银行业，人工智慧硬体正被用于诈欺检测和预防、风险管理以及增强客户服务。 IT 公司正在使用人工智慧硬体来分析来自联网设备的大量数据，从而能够检测异常情况并预测维护需求。同时，通讯公司正在使用人工智慧硬体来即时分析网路流量，并识别和解决效能问题。例如，美国科技公司 IBM 在 2022 年 5 月报告称，2022 年全球将有 35% 的公司使用人工智慧 (AI)，比 2021 年成长 4%。此外，2022 年采用人工智慧的组织数量年增了 13%。因此，人工智慧硬体在银行业、IT 和通讯的应用正在推动人工智慧硬体市场的成长。

人工智慧硬体市场预计将受到网路普及率不断提高的推动。网路普及率是指能够连接到网路的人口比例，它在推动人工智慧硬体发展方面发挥关键作用。它促进了数据访问、支援云端运算、促进了协作，并实现了对人工智慧服务的远端访问，从而推动了人工智慧应用在各行各业的广泛部署。根据Euromonitor International的报告，到2022年，全球60%的人口将可连上网路。预测显示，全球网路普及率将显着上升，到2027年底将达到71%。这项预期成长意味着未来五年内全球将新增10亿网路用户。因此，互联网普及率的提高预计将在预测期内对人工智慧硬体市场的成长产生积极影响。

人工智慧硬体市场的主要企业正致力于人工智慧加速器等技术进步，以提高深度学习和即时推理等复杂人工智慧任务的运算效率和速度。人工智慧加速器是专门设计的硬体组件，旨在优化包括机器学习、深度学习和神经网路处理在内的人工智慧任务的效能。例如，2024年10月，总部位于美国的跨国无晶圆半导体公司AMD发表了基于CDNA 3架构的Instinct MI325X人工智慧加速器。该加速器配备256GB HBM3E显存和6.0TB/s的频宽，旨在超越NVIDIA的H200，提升其在显存容量、频宽和效能方面的表现。这款节能型加速器旨在支援大规模人工智慧模型，从而增强AMD在人工智慧硬体市场对抗英特尔和NVIDIA等行业领导者的竞争力。

人工智慧硬体市场的企业正积极策略性地拥抱机器人和人工智慧技术，尤其是在製造业和工业自动化领域。人工智慧硬体在这些领域发挥着至关重要的作用，例如机器视觉、品管以及机械臂的精确控制。製造业和工业自动化产业的成长正在推动对人工智慧处理单元和控制器的需求。 2023年5月，总部位于美国的机器人和人工智慧专家OSARO发布了一款人工智慧驱动的机器人组装系统，旨在满足订阅市场日益增长的需求。该系统能够自动将单一零件组装成套件和包装。 OSARO的机器人组装系统将人工智慧与模组化硬体（包括机械手臂、机械臂和感测器）整合在一起，展现了业界致力于在各个领域推进人工智慧应用的决心。

2023年6月，美国企业软体公司Databricks以13亿美元完成了MosaicMLL的收购。此次收购旨在透过将MosaicMLL的模型、训练和推理能力整合到Databricks的企业级Lakehouse平台中，增强其生成式人工智慧（AI）能力。 MosaicMLL总部位于美国，专注于为客户提供复杂的系统和硬件，以促进大规模、复杂生成式AI模型的开发和训练。

进入硬体市场的主要公司包括高通科技公司、Alphabet Inc.、美光科技、英伟达公司、华为科技有限公司、英特尔、苹果公司、IBM、AMD、三星电子有限公司、赛灵思、寒武纪科技、Graphcore、Kalray、Mipsology、BrainChip Holdings、LightOnte、寒武纪科技、Ibio​​an、Lnowpry、Moak、Muncan、Eun8、 Group、Magora、Skyward Digital、GPU-Tech、Elvees NeoTek、Cogito Instruments、Trencadis Corp、戴尔科技公司、亚马逊网路服务公司、OpenAI、Empiria.ai、NetuxLab、Tellumat、DataProphet、Cortex Logic、JUMO、Xineoh、ClevLab、Clevva 等。

2024年，北美是人工智慧硬体市场最大的地区。预计亚太地区将在预测期内成为成长最快的地区。这份人工智慧硬体市场报告涵盖亚太地区、西欧、中东欧、北美、南美以及中东和非洲。

人工智慧硬体市场报告涵盖的国家包括澳洲、巴西、中国、法国、德国、印度、印尼、日本、俄罗斯、韩国、英国、美国、义大利、西班牙和加拿大。

人工智慧硬体市场由提供人工智慧硬体服务的营业单位获得的收入所构成，例如人工智慧优化硬体设计、人工智慧咨询、人工智慧加速器和云端基础的人工智慧服务。市场价值还包括服务供应商销售的或包含在其服务产品中的相关产品的价值。人工智慧硬体市场还包括用于提供人工智慧硬体服务的人工智慧晶片和处理器、机器人硬体、图形处理器 (GPU)、人工智慧中央处理器 (CPU)、张量处理器 (TPU) 和人工智慧处理器的销售。该市场的价值是“出厂价”，即製造商或生产商向其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接向最终客户销售的商品价值。该市场中的商品价值还包括商品製造商提供的任何相关服务。

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

  • 全球人工智慧硬体：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
  • 全球人工智慧硬体市场：成长率分析
  • 全球人工智慧硬体市场表现：规模与成长，2019-2024年
  • 全球人工智慧硬体市场预测：规模与成长，2024-2029年，2034年
  • 全球人工智慧硬体：潜在市场规模（TAM）

第六章 市场细分

  • 全球人工智慧硬体市场按类型、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 处理器
  • 记忆体网路
  • 贮存
  • 全球人工智慧硬体市场：依部署、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 云
  • 本地部署
  • 全球人工智慧硬体市场：依技术、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 机器学习
  • 电脑视觉
  • 自然语言处理
  • 专家系统
  • 全球人工智慧硬体市场按应用、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 训练模拟
  • 驾驶员监控系统
  • 监控与安防
  • 其他的
  • 全球人工智慧硬体市场（按最终用户划分）：效能与预测，2019-2024年、2024-2029年、2034年
  • 通讯/IT
  • 银行与金融
  • 电子商务
  • 机器人技术
  • 卫生保健
  • 其他的
  • 全球人工智慧硬体市场：处理器细分，按类型、效能和预测，2019-2024年、2024-2029年、2034年
  • 图形处理器（GPU）
  • 张量处理单元（TPU）
  • 现场可程式闸阵列（FPGA）
  • 专用积体电路（ASIC）
  • 全球人工智慧硬体市场：记忆体网路细分，按类型、效能和预测，2019-2024年、2024-2029年、2034年
  • 高频宽体（HBM）
  • 动态随机存取记忆体（DRAM）
  • 非挥发性记忆体（NVM）
  • 全球人工智慧硬体市场：储存细分市场，按类型、效能和预测，2019-2024年、2024-2029年、2034年
  • 固态硬碟（SSD）
  • 硬碟机（HDD）
  • 云端储存解决方案

第七章 区域和国家分析

  • 全球人工智慧硬体市场：按地区、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 全球人工智慧硬体市场：按国家、效能和预测划分，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章：西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：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

  • 人工智慧硬体市场：竞争格局
  • 人工智慧硬体市场：公司概况
    • 高通科技公司概况、产品与服务、策略与财务分析
    • Alphabet公司概况、产品和服务、策略和财务分析
    • 美光科技概览、产品与服务、策略与财务分析
    • 英伟达公司概况、产品与服务、策略与财务分析
    • 华为技术有限公司概况、产品与服务、策略与财务分析

第31章：其他领先和创新企业

  • 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年人工智慧硬体市场：提供新机会的国家
  • 2029年人工智慧硬体市场：新兴细分市场机会
  • 2029年人工智慧硬体市场：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: r25433u

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.

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 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 $31.21 billion in 2025 at a compound annual growth rate (CAGR) of 22.6%. 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 $71.99 billion in 2029 at a compound annual growth rate (CAGR) of 23.2%. 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 forecast of 23.2% 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. This is likely to directly affect the US by increasing tariffs on AI chips and robotics components imported from China and Vietnam, disrupting domestic production of smart devices. 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 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, including technological disruption, regulatory shifts, and changing consumer preferences? 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 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 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.;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
  • 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, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

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