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1843502

2025年全球邊緣人工智慧硬體市場報告

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個工作天內

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簡介目錄

近年來，邊緣人工智慧硬體市場發展迅速，預計將從2024年的77.4億美元成長到2025年的91.2億美元，複合年成長率達17.8%。這一成長主要歸功於市場教育和意識的提高、物聯網設備的興起、人工智慧演算法的進步、對低延遲的需求以及對隱私和資料安全的關注。

預計未來幾年邊緣人工智慧硬體市場規模將呈指數級成長，到2029年將達到203.4億美元，複合年成長率（CAGR）為22.2%。預測期間的成長主要得益於硬體架構的進步、節能型邊緣設備、邊緣到雲端的平衡、隱私和資料安全需求以及特定產業解決方案。預測期內的關鍵趨勢包括邊緣人工智慧模型最佳化、硬體加速解決方案、邊緣到雲端的協同效應、分散式人工智慧應用以及聯邦學習的採用。

邊緣人工智慧硬體（也稱為人工智慧加速器）在加速邊緣設備上的深度學習推理方面發揮關鍵作用，為運算密集應用提供高效的解決方案。邊緣人工智慧平台用途廣泛，可在各種硬體平台上運行，從標準微控制器單元 (MCU) 到先進的神經網路處理器。

使用邊緣人工智慧硬體的關鍵設備包括智慧型手機、相機、機器人、穿戴式裝置和智慧音箱。智慧型手機是連接到行動電話網路並配備處理器、內存、感測器和其他組件的手持電子設備。這些設備廣泛應用於各個產業和終端用戶，包括消費性電子、智慧家庭系統、汽車、政府、航太和國防、醫療保健、工業、建築等眾多領域。

美國在2025年春季突然提高關稅及其引發的貿易摩擦，對資訊科技產業，特別是硬體製造、資料基礎設施和軟體部署領域，產生了重大影響。進口半導體、電路基板和網路設備的關稅上漲，推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司，面臨更長的前置作業時間和價格壓力。同時，對專用軟體徵收的關稅以及主要國際市場的報復性措施，擾亂了全球IT供應鏈，並降低了海外對美國製造技術的需求。為了應對這些挑戰，該產業正在加大對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化技術來增強韌性，更有效地控制成本。

本研究報告是商業研究公司（The Business Research Company）全新系列報告的一部分，該系列報告提供邊緣人工智慧硬體市場統計數據，例如全球市場規模、區域佔有率、邊緣人工智慧硬體市場佔有率的競爭對手、詳細的邊緣人工智慧硬體市場細分、市場趨勢以及邊緣人工智慧硬體行業的商機，為您提供在邊緣人工智慧硬體行業取得成功所需的所有數據。本邊緣人工智慧硬體市場研究報告對該行業的現狀和未來發展趨勢進行了詳細分析，為您提供所需的一切觀點。

未來五年22.2%的成長率預測較我們先前對該市場的預測略微下調了0.3%。這一下調主要歸因於美國與其他國家之間的關稅影響。對邊緣人工智慧硬體（例如專用於人工智慧的SoC和NPU晶片）的關鍵半導體組件徵收的關稅可能會增加製造成本，並減緩美國硬體的部署速度。此外，由於相互關稅以及不斷升級的貿易緊張局勢和限制對全球經濟和貿易造成的負面影響，這一影響也將波及更廣泛的領域。

物聯網應用的成長預計將推動邊緣人工智慧硬體市場的發展。物聯網應用包含一系列服務和程序，用於聚合來自多個物聯網設備的資料。這些應用可以從工廠車間收集數據，並在網路邊緣進行整合，從而增加對邊緣人工智慧硬體的需求。例如，瑞典電信業者愛立信在2022年11月發布的報告顯示，連接大多數蜂巢式物聯網設備的寬頻物聯網（4G/5G）到2022年將達到13億連線。到2028年底，預計近60%的蜂巢式物聯網連接將是寬頻物聯網連接，其中4G將佔據大部分。東北亞目前在蜂巢式物聯網連接方面處於領先地位，預計到2023年將超過20億連接。因此，物聯網應用的成長正在推動邊緣人工智慧硬體市場的發展。

未來幾年，5G連線的廣泛普及將推動邊緣AI硬體市場的發展。 5G連接指的是第五代行動通訊技術，它將實現更快的資料傳輸速度、更低的延遲和更高的無線容量。邊緣AI硬體將透過在網路邊緣實現即時處理來增強5G連接，從而降低延遲並最佳化通訊流量，使應用更加高效、響應更迅速。例如，根據美國產業協會5G Americas的數據，截至2023年4月，全球5G無線連線數量較2021年底成長了76%，達到10.5億總合。預計到2027年底，這一數字將達到59億。因此，5G連接的廣泛普及正在推動邊緣AI硬體市場的成長。

技術進步是邊緣人工智慧硬體市場備受關注的關鍵趨勢。該領域的主要企業正積極研發尖端技術，以鞏固其市場地位。例如，2022年5月，英特爾位於以色列的Habana Labs發布了第二代人工智慧處理器，該處理器能夠同時執行訓練和推理任務。這些處理器能夠填補市場空白，為客戶提供高效能、高效率的深度學習運算解決方案，適用於資料中心的訓練工作負載和推理部署。這項技術創新不僅降低了各種規模企業採用人工智慧的門檻，也使其在競爭產品中脫穎而出。

邊緣人工智慧硬體市場包括用於邊緣人工智慧平台的物聯網設備和筆記型電腦的銷售。該市場的價值為“出廠價”，即製造商或產品創造者將產品出售給其他營業單位（包括下游製造商、批發商、經銷商和零售商）或直接出售給最終客戶的價值。該市場的產品價值還包括產品創造者提供的任何相關服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

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

第5章 全球成長分析與策略分析框架

  • 全球邊緣人工智慧硬體：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 終端用戶產業分析
  • 全球邊緣人工智慧硬體市場：成長率分析
  • 全球邊緣人工智慧硬體市場表現：規模與成長，2019-2024年
  • 全球邊緣人工智慧硬體市場預測：規模與成長，2024-2029年，2034年
  • 全球邊緣人工智慧硬體：潛在市場規模（TAM）

第6章 市場細分

  • 全球邊緣人工智慧硬體市場：按組件、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 處理器
  • 記憶
  • 感應器
  • 其他部件
  • 全球邊緣人工智慧硬體市場（按設備類型分類）：效能與預測，2019-2024年、2024-2029年、2034年
  • 智慧型手機
  • 相機
  • 機器人
  • 穿戴式裝置
  • 智慧音箱
  • 其他設備類型
  • 全球邊緣人工智慧硬體市場：依最終用戶、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 家用電器
  • 智慧家庭
  • 車
  • 政府
  • 航太與國防
  • 衛生保健
  • 產業
  • 建造
  • 其他最終用戶
  • 全球邊緣人工智慧硬體市場：按處理器類型、效能和預測細分，2019-2024年、2024-2029年、2034年
  • CPU（中央處理器）
  • GPU（圖形處理單元）
  • FPGA（現場可程式化閘陣列）
  • ASIC（專用積體電路）
  • DSP（數位訊號處理器）
  • 全球邊緣人工智慧硬體市場：按記憶體、類型、效能和預測進行細分，2019-2024年、2024-2029年、2034年
  • RAM（隨機存取記憶體）
  • 快閃記憶體
  • SSD（固態硬碟）
  • EEPROM（電可擦可程式設計唯讀記憶體）
  • 全球邊緣人工智慧硬體市場：按感測器類型、性能和預測進行細分，2019-2024年、2024-2029年、2034年
  • LiDAR（光探測和測距）
  • 麥克風
  • 溫度感測器
  • 壓力感測器
  • 接近感測器
  • 全球邊緣人工智慧硬體市場：按其他組件（按類型）、性能和預測細分，2019-2024年、2024-2029年、2034年
  • 電源管理積體電路
  • 連接模組
  • 電路基板
  • 冷卻系統

第7章 區域和國家分析

  • 全球邊緣人工智慧硬體市場：按地區、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 全球邊緣人工智慧硬體市場：按國家、效能和預測分類，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

  • 邊緣人工智慧硬體市場：競爭格局
  • 邊緣人工智慧硬體市場：公司概況
    • 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：其他領先和創新企業

  • 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 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年邊緣人工智慧硬體市場：提供新機會的國家
  • 2029年邊緣人工智慧硬體市場：新興細分市場帶來新機會
  • 2029年邊緣人工智慧硬體市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
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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  • All data from the report will also be delivered in an excel dashboard format.

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