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市场调查报告书
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1843502

2025年全球边缘人工智慧硬体市场报告

Edge AI 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,边缘人工智慧硬体市场发展迅速,预计将从2024年的77.4亿美元成长到2025年的91.2亿美元,复合年增长率达17.8%。这一成长主要归功于市场教育和意识的提高、物联网设备的兴起、人工智慧演算法的进步、对低延迟的需求以及对隐私和资料安全的关注。

预计未来几年边缘人工智慧硬体市场规模将呈指数级增长,到2029年将达到203.4亿美元,复合年增长率(CAGR)为22.2%。预测期间的成长主要得益于硬体架构的进步、节能型边缘设备、边缘到云端的平衡、隐私和资料安全需求以及特定产业解决方案。预测期内的关键趋势包括边缘人工智慧模型优化、硬体加速解决方案、边缘到云端的协同效应、分散式人工智慧应用以及联邦学习的采用。

边缘人工智慧硬体(也称为人工智慧加速器)在加速边缘设备上的深度学习推理方面发挥关键作用,为运算密集应用提供高效的解决方案。边缘人工智慧平台用途广泛,可在各种硬体平台上运行,从标准微控制器单元 (MCU) 到先进的神经网路处理器。

使用边缘人工智慧硬体的关键设备包括智慧型手机、相机、机器人、穿戴式装置和智慧音箱。智慧型手机是连接到行动电话网路并配备处理器、内存、感测器和其他组件的手持电子设备。这些设备广泛应用于各个产业和终端用户,包括消费性电子、智慧家庭系统、汽车、政府、航太和国防、医疗保健、工业、建筑等众多领域。

美国在2025年春季突然提高关税及其引发的贸易摩擦,对资讯科技产业,特别是硬体製造、资料基础设施和软体部署领域,产生了重大影响。进口半导体、电路基板和网路设备的关税上涨,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零件的公司,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,扰乱了全球IT供应链,并降低了海外对美国製造技术的需求。为了应对这些挑战,该产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技术来增强韧性,更有效地控製成本。

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,该系列报告提供边缘人工智慧硬体市场统计数据,例如全球市场规模、区域份额、边缘人工智慧硬体市场份额的竞争对手、详细的边缘人工智慧硬体市场细分、市场趋势以及边缘人工智慧硬体行业的商机,为您提供在边缘人工智慧硬体行业取得成功所需的所有数据。本边缘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,为您提供所需的一切观点。

未来五年22.2%的成长率预测较我们先前对该市场的预测略微下调了0.3%。这一下调主要归因于美国与其他国家之间的关税影响。对边缘人工智慧硬体(例如专用于人工智慧的SoC和NPU晶片)的关键半导体组件征收的关税可能会增加製造成本,并减缓美国硬体的部署速度。此外,由于相互关税以及不断升级的贸易紧张局势和限制对全球经济和贸易造成的负面影响,这一影响也将波及更广泛的领域。

物联网应用的成长预计将推动边缘人工智慧硬体市场的发展。物联网应用包含一系列服务和程序,用于聚合来自多个物联网设备的资料。这些应用可以从工厂车间收集数据,并在网路边缘进行整合,从而增加对边缘人工智慧硬体的需求。例如,瑞典电信业者爱立信在2022年11月发布的报告显示,连接大多数蜂巢式物联网设备的宽频物联网(4G/5G)到2022年将达到13亿连线。到2028年底,预计近60%的蜂巢式物联网连接将是宽频物联网连接,其中4G将占据大部分。东北亚目前在蜂巢式物联网连接方面处于领先地位,预计到2023年将超过20亿连接。因此,物联网应用的成长正在推动边缘人工智慧硬体市场的发展。

未来几年,5G连线的广泛普及将推动边缘AI硬体市场的发展。 5G连接指的是第五代行动通讯技术,它将实现更快的资料传输速度、更低的延迟和更高的无线容量。边缘AI硬体将透过在网路边缘实现即时处理来增强5G连接,从而降低延迟并优化通讯流量,使应用更加高效、响应更迅速。例如,根据美国产业协会5G Americas的数据,截至2023年4月,全球5G无线连线数量较2021年底成长了76%,达到10.5亿总合。预计到2027年底,这一数字将达到59亿。因此,5G连接的广泛普及正在推动边缘AI硬体市场的成长。

技术进步是边缘人工智慧硬体市场备受关注的关键趋势。该领域的主要企业正积极研发尖端技术,以巩固其市场地位。例如,2022年5月,英特尔位于以色列的Habana Labs发布了第二代人工智慧处理器,该处理器能够同时执行训练和推理任务。这些处理器能够填补市场空白,为客户提供高效能、高效率的深度学习运算解决方案,适用于资料中心的训练工作负载和推理部署。这项技术创新不仅降低了各种规模企业采用人工智慧的门槛,也使其在竞争产品中脱颖而出。

边缘人工智慧硬体市场包括用于边缘人工智慧平台的物联网设备和笔记型电脑的销售。该市场的价值为“出厂价”,即製造商或产品创造者将产品出售给其他营业单位(包括下游製造商、批发商、经销商和零售商)或直接出售给最终客户的价值。该市场的产品价值还包括产品创造者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

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

第六章 市场细分

  • 全球边缘人工智慧硬体市场:按组件、效能和预测划分,2019-2024年、2024-2029年、2034年
  • 处理器
  • 记忆
  • 感应器
  • 其他部件
  • 全球边缘人工智慧硬体市场(按设备类型划分):效能与预测,2019-2024年、2024-2029年、2034年
  • 智慧型手机
  • 相机
  • 机器人
  • 穿戴式装置
  • 智慧音箱
  • 其他设备类型
  • 全球边缘人工智慧硬体市场:依最终用户、效能和预测划分,2019-2024年、2024-2029年、2034年
  • 家用电器
  • 智慧家庭
  • 政府
  • 航太与国防
  • 卫生保健
  • 产业
  • 建造
  • 其他最终用户
  • 全球边缘人工智慧硬体市场:按处理器类型、效能和预测细分,2019-2024年、2024-2029年、2034年
  • CPU(中央处理器)
  • GPU(图形处理单元)
  • FPGA(现场可程式化闸阵列)
  • ASIC(专用积体电路)
  • DSP(数位讯号处理器)
  • 全球边缘人工智慧硬体市场:按记忆体、类型、效能和预测进行细分,2019-2024年、2024-2029年、2034年
  • RAM(随机存取记忆体)
  • 快闪记忆体
  • SSD(固态硬碟)
  • EEPROM(电可擦可程式设计唯读记忆体)
  • 全球边缘人工智慧硬体市场:按感测器类型、性能和预测进行细分,2019-2024年、2024-2029年、2034年
  • 光达(光探测和测距)
  • 麦克风
  • 温度感测器
  • 压力感测器
  • 接近感测器
  • 全球边缘人工智慧硬体市场:按其他组件(按类型)、性能和预测细分,2019-2024年、2024-2029年、2034年
  • 电源管理积体电路
  • 连接模组
  • 电路基板
  • 冷却系统

第七章 区域和国家分析

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

  • 边缘人工智慧硬体市场:竞争格局
  • 边缘人工智慧硬体市场:公司概况
    • Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
    • MediaTek Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Qualcomm Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Huawei Technologies Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis

第31章:其他领先和创新企业

  • Intel Corporation
  • NVIDIA Corporation
  • International Business Machines Corporation
  • Google LLC
  • Microsoft Corporation
  • Advanced Micro Devices Inc.
  • Imagination Technologies Limited
  • Adapteva Inc.
  • Arm Limited
  • ADLINK Technology Inc.
  • Alphabet Inc.
  • Amazon.com Inc.
  • Baidu Inc.
  • Continental AG
  • Denso Corporation

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年边缘人工智慧硬体市场:提供新机会的国家
  • 2029年边缘人工智慧硬体市场:新兴细分市场带来新机会
  • 2029年边缘人工智慧硬体市场: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: r23325u

Edge AI hardware, often known as AI accelerators, plays a crucial role in accelerating deep learning inference on edge devices, offering an efficient solution for computation-intensive applications. The edge AI platform is versatile, capable of running on various hardware platforms, ranging from standard microcontroller units (MCUs) to advanced neural processors.

The primary devices utilizing edge AI hardware include smartphones, cameras, robots, wearables, smart speakers, and others. Smartphones are handheld electronic devices connected to cellular networks, equipped with components such as processors, memory, sensors, and more. These devices find applications across a wide range of industries and end-users, including consumer electronics, smart home systems, automotive, government, aerospace and defense, healthcare, industrial sectors, construction, and various other domains.

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 edge AI hardware market research report is one of a series of new reports from The Business Research Company that provides edge AI hardware market statistics, including edge AI hardware industry global market size, regional shares, competitors with an edge AI hardware market share, detailed edge AI hardware market segments, market trends, and opportunities, and any further data you may need to thrive in the edge AI hardware industry. This edge AI 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 edge ai hardware market size has grown rapidly in recent years. It will grow from $7.74 billion in 2024 to $9.12 billion in 2025 at a compound annual growth rate (CAGR) of 17.8%. The growth in the historic period can be attributed to market education and awareness, rise of IoT devices, advancements in ai algorithms, demand for low latency, privacy, and data security concerns.

The edge ai hardware market size is expected to see exponential growth in the next few years. It will grow to $20.34 billion in 2029 at a compound annual growth rate (CAGR) of 22.2%. The growth in the forecast period can be attributed to advancements in hardware architecture, energy-efficient edge devices, edge-to-cloud balance, privacy and data security requirements, industry-specific solutions. Major trends in the forecast period include ai model optimization for edge, hardware acceleration solutions, edge-to-cloud synergy, decentralized ai applications, federated learning adoption.

The forecast of 22.2% growth over the next five years reflects a modest reduction of 0.3% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariffs on semiconductor components essential for Edge AI hardware like AI-specific SoCs and NPU chips may raise production costs and delay hardware rollouts in the U.S. 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 increasing number of IoT applications is expected to drive growth in the edge AI hardware market in the future. An IoT application consists of a suite of services and programs that aggregate data from multiple IoT devices. These applications can collect data from across the factory floor and consolidate it at the network's edge, leading to a rise in demand for edge AI hardware. For example, in November 2022, a report from Ericsson, a Sweden-based telecommunications company, revealed that broadband IoT (4G/5G), which connects most cellular IoT devices, reached 1.3 billion connections in 2022. It is projected that nearly 60% of cellular IoT connections will be broadband IoT connections by the end of 2028, with 4G handling the majority. Currently, North East Asia leads in cellular IoT connections, and it is expected to surpass 2 billion connections in 2023. Thus, the rise in IoT applications is fueling the growth of the edge AI hardware market.

The widespread adoption of 5G connectivity is poised to drive the advancement of the edge AI hardware market in the coming years. 5G connectivity denotes the fifth generation of mobile networks, offering swifter data speeds, reduced latency, and heightened capacity for wireless communication. Edge AI hardware augments 5G connectivity by facilitating real-time processing at the network edge, thereby curtailing latency and optimizing data traffic for more efficient and responsive applications. For instance, as of April 2023, data sourced from 5G Americas, a US-based industry trade organization, indicates a 76% upsurge in global 5G wireless connections from the end of 2021 to the end of 2022, reaching a total of 1.05 billion connections. Projections foresee this number reaching 5.9 billion by the end of 2027. Consequently, the uptake of 5G connectivity is steering the growth of the edge AI hardware market.

Technological advancements stand out as the pivotal trend garnering attention within the edge AI hardware market. Major companies operating in this sphere are vigorously developing sophisticated technologies to fortify their market positioning. For instance, in May 2022, Habana Labs, an Israel-based entity under Intel, introduced second-generation AI processors tailored for both training and inferencing tasks. The hallmark of these processors is their capacity to bridge market gaps by furnishing customers with high-performance and high-efficiency deep learning compute solutions, suitable for both training workloads and inference deployments in data centers. This innovation not only lowers the barriers to AI adoption for businesses of varying sizes but also distinguishes itself amidst competitive technological offerings.

Major players within the edge AI hardware market are actively engaged in the development of advanced platforms that amalgamate both hardware and software capabilities, exemplified by NVIDIA IGX Orin, which aims to establish novel functional safety benchmarks for AI and computing systems. NVIDIA IGX Orin represents a cutting-edge, high-precision edge AI computing platform that integrates sophisticated security and safety attributes. For instance, in September 2022, NVIDIA, a prominent US-based software company, unveiled its IGX Edge AI Computing Platform, specifically designed to meet the demands of high-precision edge AI across sectors such as manufacturing, logistics, and healthcare. This platform fosters improved collaboration between humans and machines while ensuring an additional layer of safety within real-world environments. It incorporates the potent NVIDIA IGX Orin tailored for autonomous industrial machinery and medical apparatus. Offering flexibility and adaptability, the platform can be easily programmed and configured to suit diverse requirements, ensuring adherence to edge AI protocols. In the healthcare sector, the IGX platform supports NVIDIA Clara Holoscan for real-time AI computation in medical equipment.

In June 2022, Qualcomm, a distinguished US-based semiconductor company, acquired Cellwize for an undisclosed sum. This acquisition merges Cellwize's cutting-edge cloud-native, multi-vendor RAN (Radio Access Network) automation and management platform with Qualcomm Technologies' top-tier 5G RAN offerings. This integration is poised to deliver leading-edge RAN automation and management software solutions, further expediting the evolution of the connected intelligent edge through the deployment of both private and public 5G networks. This strategic collaboration aims to minimize network deployment timelines and streamline network administration. Cellwize, a US-based telecommunications service provider, specializes in enabling future-oriented networks.

Major companies operating in the edge AI hardware market include Apple Inc., MediaTek Inc., Qualcomm Technologies Inc., Huawei Technologies Co. Ltd., Samsung Electronics Co. Ltd., Intel Corporation, NVIDIA Corporation, International Business Machines Corporation, Google LLC, Microsoft Corporation, Advanced Micro Devices Inc., Imagination Technologies Limited, Adapteva Inc., Arm Limited, ADLINK Technology Inc., Alphabet Inc., Amazon.com Inc., Baidu Inc., Continental AG, Denso Corporation, Renesas Electronics Corporation, Infineon Technologies AG, KALRAY Corporation, Robert Bosch GmbH, Rockchip Electronics Co. Ltd., NXP Semiconductors N.V., ON Semiconductor Corporation, Oracle Corporation, STMicroelectronics N.V.

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

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

The edge AI hardware market consists of sales of IoT devices, and laptops used in the edge AI platform. 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.

Edge AI 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 edge ai 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 edge ai 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 edge ai 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 Component: Processor; Memory; Sensor; Other Components
  • 2) By Device Type: Smartphones; Cameras; Robots; Wearables; Smart Speaker; Other Device Types
  • 3) By End User: Consumer Electronics; Smart Home; Automotive; Government; Aerospace And Defense; Healthcare; Industrial; Construction; Other End Users
  • Subsegments:
  • 1) By Processor: CPU (Central Processing Unit); GPU (Graphics Processing Unit); FPGA (Field-Programmable Gate Array); ASIC (Application-Specific Integrated Circuit); DSP (Digital Signal Processor)
  • 2) By Memory: RAM (Random Access Memory); Flash Memory; SSD (Solid State Drive); EEPROM (Electrically Erasable Programmable Read-Only Memory)
  • 3) By Sensor: Camera; LiDAR (Light Detection And Ranging); Microphones; Temperature Sensors; Pressure Sensors; Proximity Sensors
  • 4) By Other Components: Power Management ICs; Connectivity Modules; Circuit Boards; Cooling Systems
  • Companies Mentioned: Apple Inc.; MediaTek Inc.; Qualcomm Technologies Inc.; Huawei Technologies Co. Ltd.; Samsung Electronics Co. Ltd.; Intel Corporation; NVIDIA Corporation; International Business Machines Corporation; Google LLC; Microsoft Corporation; Advanced Micro Devices Inc.; Imagination Technologies Limited; Adapteva Inc.; Arm Limited; ADLINK Technology Inc.; Alphabet Inc.; Amazon.com Inc.; Baidu Inc.; Continental AG; Denso Corporation; Renesas Electronics Corporation; Infineon Technologies AG; KALRAY Corporation; Robert Bosch GmbH; Rockchip Electronics Co. Ltd.; NXP Semiconductors N.V.; ON Semiconductor Corporation; Oracle Corporation; STMicroelectronics N.V.
  • 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. Edge AI Hardware Market Characteristics

3. Edge AI Hardware Market Trends And Strategies

4. Edge AI 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 Edge AI Hardware Growth Analysis And Strategic Analysis Framework

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

6. Edge AI Hardware Market Segmentation

  • 6.1. Global Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Processor
  • Memory
  • Sensor
  • Other Components
  • 6.2. Global Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Smartphones
  • Cameras
  • Robots
  • Wearables
  • Smart Speaker
  • Other Device Types
  • 6.3. Global Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consumer Electronics
  • Smart Home
  • Automotive
  • Government
  • Aerospace and Defense
  • Healthcare
  • Industrial
  • Construction
  • Other End Users
  • 6.4. Global Edge AI Hardware Market, Sub-Segmentation Of Processor, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • CPU (Central Processing Unit)
  • GPU (Graphics Processing Unit)
  • FPGA (Field-Programmable Gate Array)
  • ASIC (Application-Specific Integrated Circuit)
  • DSP (Digital Signal Processor)
  • 6.5. Global Edge AI Hardware Market, Sub-Segmentation Of Memory, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • RAM (Random Access Memory)
  • Flash Memory
  • SSD (Solid State Drive)
  • EEPROM (Electrically Erasable Programmable Read-Only Memory)
  • 6.6. Global Edge AI Hardware Market, Sub-Segmentation Of Sensor, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • LiDAR (Light Detection And Ranging)
  • Microphones
  • Temperature Sensors
  • Pressure Sensors
  • Proximity Sensors
  • 6.7. Global Edge AI Hardware Market, Sub-Segmentation Of Other Components, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Power Management Ics
  • Connectivity Modules
  • Circuit Boards
  • Cooling Systems

7. Edge AI Hardware Market Regional And Country Analysis

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

8. Asia-Pacific Edge AI Hardware Market

  • 8.1. Asia-Pacific Edge AI 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 Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Edge AI Hardware Market

  • 9.1. China Edge AI Hardware Market Overview
  • 9.2. China Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Edge AI Hardware Market

  • 10.1. India Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Edge AI Hardware Market

  • 11.1. Japan Edge AI Hardware Market Overview
  • 11.2. Japan Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Edge AI Hardware Market

  • 12.1. Australia Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Edge AI Hardware Market

  • 13.1. Indonesia Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Edge AI Hardware Market

  • 14.1. South Korea Edge AI Hardware Market Overview
  • 14.2. South Korea Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Edge AI Hardware Market

  • 15.1. Western Europe Edge AI Hardware Market Overview
  • 15.2. Western Europe Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Edge AI Hardware Market

  • 16.1. UK Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Edge AI Hardware Market

  • 17.1. Germany Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Edge AI Hardware Market

  • 18.1. France Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Edge AI Hardware Market

  • 19.1. Italy Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Edge AI Hardware Market

  • 20.1. Spain Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Edge AI Hardware Market

  • 21.1. Eastern Europe Edge AI Hardware Market Overview
  • 21.2. Eastern Europe Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Edge AI Hardware Market

  • 22.1. Russia Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Edge AI Hardware Market

  • 23.1. North America Edge AI Hardware Market Overview
  • 23.2. North America Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Edge AI Hardware Market

  • 24.1. USA Edge AI Hardware Market Overview
  • 24.2. USA Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Edge AI Hardware Market

  • 25.1. Canada Edge AI Hardware Market Overview
  • 25.2. Canada Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Edge AI Hardware Market

  • 26.1. South America Edge AI Hardware Market Overview
  • 26.2. South America Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Edge AI Hardware Market

  • 27.1. Brazil Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Edge AI Hardware Market

  • 28.1. Middle East Edge AI Hardware Market Overview
  • 28.2. Middle East Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Edge AI Hardware Market

  • 29.1. Africa Edge AI Hardware Market Overview
  • 29.2. Africa Edge AI Hardware Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Edge AI Hardware Market, Segmentation By Device Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Edge AI Hardware Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Edge AI Hardware Market Competitive Landscape And Company Profiles

  • 30.1. Edge AI Hardware Market Competitive Landscape
  • 30.2. Edge AI Hardware Market Company Profiles
    • 30.2.1. Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. MediaTek Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Qualcomm Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Huawei Technologies Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis

31. Edge AI Hardware Market Other Major And Innovative Companies

  • 31.1. Intel Corporation
  • 31.2. NVIDIA Corporation
  • 31.3. International Business Machines Corporation
  • 31.4. Google LLC
  • 31.5. Microsoft Corporation
  • 31.6. Advanced Micro Devices Inc.
  • 31.7. Imagination Technologies Limited
  • 31.8. Adapteva Inc.
  • 31.9. Arm Limited
  • 31.10. ADLINK Technology Inc.
  • 31.11. Alphabet Inc.
  • 31.12. Amazon.com Inc.
  • 31.13. Baidu Inc.
  • 31.14. Continental AG
  • 31.15. Denso Corporation

32. Global Edge AI Hardware Market Competitive Benchmarking And Dashboard

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

34. Recent Developments In The Edge AI Hardware Market

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

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