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1361415

邊緣人工智慧硬體市場 - 2018-2028 年全球產業規模、佔有率、趨勢、機會和預測，按設備、功耗、功能、處理器、垂直領域、地區、競爭細分

Edge AI Hardware Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028F Segmented By Device, By Power Consumption, By Function, By Processor, By Vertical, By Region, Competition
出版日期: | 出版商: TechSci Research | 英文 190 Pages | 商品交期: 2-3個工作天內

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簡介目錄

由於邊緣設備對低延遲和即時資料傳輸處理的需求，預計全球邊緣人工智慧硬體市場在預測期內將成長。邊緣AI是人工智慧（AI）在邊緣運算環境中的實作。這意味著人工智慧運算不是在集中式雲端運算設施或異地資料中心進行，而是在特定網路的邊緣（通常是在創建資料的裝置上）執行。此外，邊緣人工智慧硬體是一個術語，用於指基於人工智慧 (AI) 的機器人和小工具，由一系列工具和機械進行處理和驅動。該公司正在逐步在其設備中使用邊緣人工智慧硬體來管理效率，並使客戶能夠快速部署具有高處理能力和低功耗的解決方案。人工智慧和機器學習技術的大量創新有望增強邊緣人工智慧硬體的功能。反過來，這預計將在預測期內推動市場成長。

隨著電信、航空航太與國防、資訊與技術以及汽車等終端使用產業對邊緣人工智慧採用的需求不斷增加，邊緣人工智慧硬體市場在過去幾年中出現了顯著成長。此外，邊緣人工智慧硬體還具有透過本地處理資料來提高準確性和減少延遲的優勢，透過整合到邊緣人工智慧硬體系統來提高效率、即時分析和降低營運成本。消費者對自助服務需求的成長帶動了產品需求的增加。這可以歸因於隨著近年來智慧型裝置數量的增加，個人對組織和業務中的運算速度和延遲減少的日益偏好。此外，先進技術企業之間不斷加強的合作預計未來也將帶來巨大的需求。此外，隨著消費者使用智慧型手機、監視攝影機和智慧揚聲器的增加，邊緣人工智慧硬體越來越受歡迎，在全球市場上顯示出利潤豐厚的成長，它還在充滿挑戰的情況下提供了可靠性和耐用性。使用邊緣人工智慧硬體使組織能夠以更低的成本提供及時的服務。

市場概況
預測期 2024-2028
2022 年市場規模 30.8億美元
2028 年市場規模 119.4億美元
2023-2028 年年複合成長率 25.39%
成長最快的細分市場 衛生保健
最大的市場 北美洲

在預測期內，智慧家庭和智慧城市需求的不斷成長正在推動全球邊緣人工智慧硬體市場的成長。各國許多實業家和建築商正在採用先進技術，透過人工智慧 (AI) 的整合，使他們的家庭和城市基礎設施變得更加智慧。隨著這些人工智慧技術在多個領域的日益普及，世界各地的智慧城市都在逐步使用它們。隨著智慧城市的普及，越來越多的人對智慧家庭的概念產生了興趣。隨著越來越多的人選擇居住在城市，日常生活中對自動化服務的需求可能會更大。對智慧家庭的需求正在將其從奢侈品轉變為必需品。代表人工智慧 (AI) 的 Edgehardware 設備正在為智慧型裝置提供額外的好處，例如使用機器學習演算法適應用戶行為、低延遲和即時回應。此外，隨著城市化的發展，許多發展中國家也開始實施智慧城市舉措，作為未來的定義。將人工智慧融入智慧家庭產品和智慧城市，可以使設備更有效率、便利性和個人化，從而帶來更好的整體用戶體驗。例如，新加坡、芬蘭、瑞士和挪威等國家將在 2022 年躋身全球智慧城市前列。此外，世界各國政府都在利用尖端技術來解決智慧城市所涉及的基本問題。確保個人的安全。因此，智慧家庭和智慧城市需求的不斷成長正在推動預測期內全球邊緣人工智慧硬體市場的成長。

邊緣設備低時延、即時資料傳輸處理需求

邊緣設備上資料密集深度學習的推理過程由稱為人工智慧加速器的專用硬體加速。由於對即時深度學習工作負載的需求不斷增加，專用邊緣人工智慧硬體可實現設備上的快速深度學習，這變得越來越重要。為了克服高延遲和安全漏洞的問題，邊緣人工智慧近距離處理物聯網產生的資料。雲端從 IoT 設備接收大量資料，然後由機器學習 (ML) 模型進行處理，然後再發送回 IoT 設備。此過程可能會導致響應時間延遲。然而，設備上的人工智慧限制了資料交換，從而實現了更快的反應。在雲端上儲存大量資料的能力也可能是不可能的。對於邊緣人工智慧來說，無需將這些資料傳送到雲端，因為設備本身俱有處理能力。因此，邊緣人工智慧硬體對邊緣設備上低延遲和即時資料傳輸處理的需求不斷增加，預計將增加邊緣人工智慧硬體在全球市場的採用。

數位化和先進技術的不斷採用推動市場成長

邊緣運算和人工智慧（AI）等先進技術的不斷採用以及數位化的不斷發展正在推動全球邊緣人工智慧硬體市場的成長。由於該技術正處於發展階段，未來成長明確，越來越多的企業正在將邊緣、人工智慧支援的設備和解決方案整合並採用到其製造和營運服務中。邊緣人工智慧硬體正在幫助持續使用機器人和其他消費性電子產品的企業即時處理資料並提供無縫的用戶體驗。此外，人工智慧 (AI) 正在成為透過提高效率、最佳化效能和改善決策來幫助自動化和加速流程的關鍵推動因素。因此，先進技術的不斷採用和數位化的不斷發展正在推動全球邊緣人工智慧硬體市場的需求。

增加智慧型手機的使用推動市場成長

智慧型手機使用量的增加推動了全球邊緣人工智慧硬體市場的需求。每個人的生活都受到智慧型手機和行動裝置的控制。根據智慧型手機使用資料，目前全球三分之二的人口透過智慧型手機連接，到2023 年，將有超過73.3 億人擁有行動裝置。兒童從10 歲起開始使用行動裝置。幾乎所有Z 世代的兒童都擁有智慧型手機。因此，使用網路的人數增加。因此，對基於雲端的服務和智慧型設備用戶的需求增加。由於使用基於雲端的服務，邊緣人工智慧硬體領域擁有更多選擇，這也導致更快的安裝時間、輕鬆安全的資料傳輸、快速擴展的需求增加以及更便宜的基礎設施、能源和設施成本。

市場區隔:

根據設備，市場分為智慧型手機、機器人、監視攝影機、穿戴式裝置、智慧揚聲器、汽車、智慧鏡子等。依功耗，市場分為1W以下、1-3W、3-5W、3-5W和10W以上。根據功能，市場分為訓練和推理。根據處理器，市場分為 CPU、GPU、ASIC 等。在垂直的基礎上，市場進一步分為醫療保健與生命科學、零售與消費性電子、汽車與運輸、航空航太與國防、政府、建築等。市場分析也研究區域細分，以設計區域市場細分，分為北美、歐洲、亞太地區、南美以及中東和非洲。

公司簡介

Qualcomm Technologies, Inc.、華為技術有限公司、三星電子有限公司、MediaTek Inc.、國際商業機器公司 (IBM)、微軟公司、NVIDIA Corporation、Google LLC (Alphabet Inc.)、Apple Inc.、英特爾公司是推動全球邊緣人工智慧硬體市場成長的主要參與者之一。

報告範圍：

在本報告中，除了以下詳細介紹的產業趨勢外，全球邊緣人工智慧硬體市場還分為以下幾類：

  • 邊緣人工智慧硬體市場（按設備）：

智慧型手機

機器人

監視器

穿戴式裝置

智慧音箱

汽車

智慧鏡子

其他

  • 邊緣人工智慧硬體市場，按功耗分類：

小於1W

1-3W

3-5W

5-10W

10W以上

  • 邊緣人工智慧硬體市場，依功能分類：

訓練

推理

  • 邊緣人工智慧硬體市場（按處理器）：

中央處理器

圖形處理器

專用積體電路

其他

  • 邊緣人工智慧硬體市場，按垂直領域：

醫療保健與生命科學

零售與消費性電子產品

汽車與運輸

航太與國防

政府

建造

其他

  • 邊緣人工智慧硬體市場（按地區）：

亞太

  • 中國
  • 日本
  • 印度
  • 澳洲
  • 韓國

北美洲

  • 美國
  • 加拿大
  • 墨西哥

歐洲

  • 英國
  • 德國
  • 法國
  • 西班牙
  • 義大利

中東和非洲

  • 以色列
  • 土耳其
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國

南美洲

  • 巴西
  • 阿根廷
  • 哥倫比亞

競爭格局

公司簡介：詳細分析全球邊緣人工智慧硬體市場的主要公司。

可用的客製化：

根據給定的市場資料，TechSci Research 可根據公司的具體需求提供客製化服務。該報告可以使用以下自訂選項：

公司資訊

  • 其他市場參與者（最多五個）的詳細分析和概況分析。

目錄

第 1 章：產品概述

  • 市場定義
  • 市場範圍
    • 涵蓋的市場
    • 考慮學習的年份
    • 主要市場區隔

第 2 章：研究方法

  • 研究目的
  • 基線方法
  • 主要產業夥伴
  • 主要協會和二手資料來源
  • 預測方法
  • 數據三角測量與驗證
  • 假設和限制

第 3 章：執行摘要

第 4 章：客戶之聲

第 5 章：全球邊緣人工智慧硬體市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按設備（智慧型手機、機器人、監視器、穿戴式裝置、智慧型揚聲器、汽車、智慧鏡子等）
    • 依功耗（1W以下、1-3W、3-5W、3-5W、10W以上）
    • 按功能（訓練、推理）
    • 按處理器（CPU、GPU、ASIC 等）
    • 依垂直產業（醫療保健與生命科學、零售與消費性電子產品、汽車與運輸、航太與國防、政府、建築等）
    • 按地區
  • 按公司分類 (2022)
  • 市場地圖

第 6 章：北美邊緣 AI 硬體市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按設備
    • 按功耗
    • 按功能分類
    • 按處理器
    • 按垂直方向
    • 按國家/地區
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第 7 章：亞太邊緣人工智慧硬體市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按設備
    • 按功耗
    • 按功能分類
    • 按處理器
    • 按垂直方向
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國
    • 日本
    • 韓國
    • 印度
    • 澳洲

第 8 章：歐洲邊緣人工智慧硬體市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按設備
    • 按功耗
    • 按功能分類
    • 按處理器
    • 按垂直方向
    • 按國家/地區
  • 歐洲：國家分析
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙

第 9 章：南美洲邊緣 AI 硬體市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按設備
    • 按功耗
    • 按功能分類
    • 按處理器
    • 按垂直方向
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 阿根廷
    • 哥倫比亞

第 10 章：中東和非洲邊緣人工智慧硬體市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按設備
    • 按功耗
    • 按功能分類
    • 按處理器
    • 按垂直方向
    • 按國家/地區
  • 中東和非洲：國家分析
    • 以色列
    • 土耳其
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯

第 11 章：市場動態

  • 動力
  • 挑戰

第 12 章：市場趨勢與發展

第 13 章：公司簡介

  • 高通科技公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 華為技術有限公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 三星電子有限公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 聯發科公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 國際商業機器公司 (IBM)
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 微軟公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 英偉達公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 谷歌有限責任公司（Alphabet Inc.）
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 蘋果公司。
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 英特爾公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered

第 14 章：策略建議

第 15 章：關於我們與免責聲明

（註：公司名單可依客戶要求客製化。）

簡介目錄
Product Code: 15196

The global Edge AI Hardware market is predicted to grow during the forecast period owing to the requirement for low latency and real-time data transmission processing on edge devices. Edge AI is the implementation of artificial intelligence (AI) in an edge computing environment. This implies that rather than at a centralised cloud computing facility or off-site data centre, AI computations are performed at the edge of a particular network, typically on the device where the data is created. In addition, edge AI hardware is a term used for artificial intelligence (AI) based robotics and gadgets that are processed and powered by a collection of tools and machinery. Companies are progressively using enabling edge AI hardware's in their devices to manage the efficiency and enables customers to deploy solutions quickly with high processing capability and low-power consumption. Numerous innovations carried out in artificial intelligence, and machine learning technologies are expected to enhance the features of Edge AI Hardware. This, in turn, is expected to drive market growth during the forecast period.

The Edge AI Hardware market has witnessed significant growth in the last few years as the demand for adoption of edge AI in end-use industries such as telecommunication, aerospace & defense, information & technology and automobiles is increasing. Additionally, Edge AI hardware is offering the advantages of increasing accuracy and reduces latency by processing data locally, improving efficiency, real-time analytics and reducing the operational cost by integrating to the Edge AI Hardware system. The growth in consumer demand for self-service operations has led to increase in product demand. This can be attributed to the growing preference of individuals for computational speed and reduced latency in the organization and business as the number of smart devices has grown higher in the recent years. Moreover, growing collaboration between the advanced technology-based enterprises are also expected to witness significant demand in the future. Furthermore, edge AI hardware are gaining popularity as increase in usage of smartphones, surveillance cameras and smart speakers by the consumers are showing a lucrative growth in the global market, it also provides dependability and durability in challenging situations. The use of Edge AI Hardware enables organizations to deliver timely services at reduced costs.

Increasing Demand for Smart Homes and Smart Cities

Market Overview
Forecast Period2024-2028
Market Size 2022USD 3.08 Billion
Market Size 2028USD 11.94 Billion
CAGR 2023-202825.39%
Fastest Growing SegmentHealthcare
Largest MarketNorth America

The increasing demand for smart homes and smart cities is driving the growth of global edge AI hardware market during the forecast period. Many industrialists and builders across the countries are adopting advanced technologies to make their homes and the cities infrastructure smarter with the integration of artificial intelligence (AI). Smart cities all around the world are progressively using these AI technologies as they become increasingly widespread across several sectors. As smart cities spread, more individuals are getting interested in the concept of a smart house. As more people choose to live in cities, there will likely be a greater need for automated services in everyday life. The demand for smart homes is turning them from a luxury to an essential need. Edgehardware devices on behalf of Artificial Intelligence (AI) is helping the smart devices with additional benefits such as adaptation to user behavior using machine learning algorithms, low latency with real-time responses. Moreover, many developing nations have started implementing smart cities initiatives as a definition of future with the growth in urbanization. Incorporating AI into smart home products and smart cities can make devices more efficient, convenient, and personalised, leading to a better overall user experience. For instance, countries such as Singapore, Finland, Switzerland, and Norway and many more are among the top smart cities in the world in 2022. Furthermore, the government all around the world are leveraging cutting-edge technology to address the fundamental issues involved in assuring the security and safety of individuals. Thus, the increasing demand for smart homes and smart cities are driving the growth of global edge AI hardware market during the forecast period.

Requirement for Low Latency and Real-Time Data Transmission Processing on Edge Devices

The inference process for data-intensive deep learning on edge devices is accelerated by specialized hardware called AI accelerators. Specialized edge AI hardware enables the quick deep learning on-device that has become more and more significant due to the increasing need for real-time deep learning workloads. To get beyond the issues of high latency and security gaps, edge AI processes IoT-generated data at close range. The cloud receives a significant amount of data from an IoT device, which is then processed by machine learning (ML) models before being sent back to the IoT device. This procedure may cause a response time delay. Yet on-device AI limits data exchange, enabling a quicker reaction. The ability to store a significant amount of data on the cloud may also not be possible. Sending this data to the cloud is not necessary with edge AI since the devices themselves have the processing capability. Therefore, increasing Edge AI Hardware demands for low latency and real-time data transmission processing on edge devices are expected to grow the adoption of Edge AI Hardware in the global market.

Digitalization and Increasing Adoption of Advanced Technologies Driving the Market Growth

The rising adoption of advanced technologies such as edge computing and artificial intelligence (AI) and growing digitalization are driving the growth of Edge AI Hardware market globally. As the technology is in developing stage with explicit future growth, more and more enterprises are integrating and adopting edge, AI enabled devices and solutions into their manufacturing and operation services. Edge AI hardware is helping businesses that are consistently using robots and other consumer electronics to process data in real-time and provide a seamless user experience. Moreover, artificial intelligence (AI) is becoming a key enabler to help automate and speed up the process by increasing efficiency and optimizing the performance and improving decision making. Therefore, increasing adoption of advanced technologies and growing digitalization is driving the demand of global edge AI hardware market.

Increase Usage of Smartphones to Propel Growth of Market

The increase in usage of smartphones in driving the demand of global edge AI hardware market. The lives of everyone are governed by smartphones and mobile gadgets. According to data on smartphone usage, two-thirds of the globe is now linked via smartphones and more than 7.33 billion people own mobile devices by 2023. Children begin receiving mobile devices at the age of 10. Nearly all children of generation Z owns a smartphone. The number of individuals utilizing the internet has increased as a result. The demand for cloud-based services and smart device users rises as a result. The edge AI hardware sector has greater options because of the usage of cloud-based services, which also leads to quicker installation times, easy and secure data transfers, rapid scaling demand increases, and cheaper infrastructure, energy, and facility costs.

Market Segmentation:

Based on device, the market is segmented into smartphones, robots, surveillance cameras, wearables, smart speakers, automotive, smart mirrors, and others. Based on power consumption, the market is segmented into less than 1W, 1-3W, 3-5W, 3-5W and more than 10W. Based on function, the market is segmented into training and inference. Based on processor, the market is segmented into CPU, GPU, ASIC, and others. On the basis of vertical, the market is further split into healthcare & life science, retail & consumer electronics, automotive & transportation, aerospace & defense, government, construction, and others. The market analysis also studies the regional segmentation to devise regional market segmentation, divided among North America, Europe, Asia-Pacific, South America, and Middle East & Africa.

Company Profiles

Qualcomm Technologies, Inc., Huawei Technologies Co. Ltd., Samsung Electronics Co. Ltd., MediaTek Inc., International Business Machines Corporation (IBM), Microsoft Corporation, NVIDIA Corporation, Google LLC (Alphabet Inc.), Apple Inc., Intel Corporation are among the major players that are driving the growth of the Global Edge AI Hardware Market.

Report Scope:

In this report, the global Edge AI Hardware market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

  • Edge AI Hardware Market, By Device:

Smartphones

Robots

Surveillance Cameras

Wearables

Smart Speakers

Automotive

Smart Mirrors

Others

  • Edge AI Hardware Market, By Power Consumption:

Less Than 1W

1-3W

3-5W

5-10W

More Than 10W

  • Edge AI Hardware Market, By Function:

Training

Inference

  • Edge AI Hardware Market, By Processor:

CPU

GPU

ASIC

Others

  • Edge AI Hardware Market, By Vertical:

Healthcare & Life Science

Retail & Consumer Electronics

Automotive & Transportation

Aerospace & Defense

Government

Construction

Others

  • Edge AI Hardware Market, By Region:

Asia-Pacific

  • China
  • Japan
  • India
  • Australia
  • South Korea

North America

  • United States
  • Canada
  • Mexico

Europe

  • United Kingdom
  • Germany
  • France
  • Spain
  • Italy

Middle East & Africa

  • Israel
  • Turkey
  • Saudi Arabia
  • UAE

South America

  • Brazil
  • Argentina
  • Colombia

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the global Edge AI Hardware market.

Available Customizations:

With the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

4. Voice of Customer

5. Global Edge AI Hardware Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Device (Smartphones, Robots, Surveillance Cameras, Wearables, Smart Speakers, Automotive, Smart Mirrors, Others)
    • 5.2.2. By Power Consumption (Less Than 1W, 1-3W, 3-5W, 3-5W and More Than 10W)
    • 5.2.3. By Function (Training, Inference)
    • 5.2.4. By Processor (CPU, GPU, ASIC, and Others)
    • 5.2.5. By Vertical (Healthcare & Life Science, Retail & Consumer Electronics, Automotive & Transportation, Aerospace & Defense, Government, Construction and Others)
    • 5.2.6. By Region
  • 5.3. By Company (2022)
  • 5.4. Market Map

6. North America Edge AI Hardware Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Device
    • 6.2.2. By Power Consumption
    • 6.2.3. By Function
    • 6.2.4. By Processor
    • 6.2.5. By Vertical
    • 6.2.6. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Edge AI Hardware Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Device
        • 6.3.1.2.2. By Power Consumption
        • 6.3.1.2.3. By Function
        • 6.3.1.2.4. By Processor
        • 6.3.1.2.5. By Vertical
    • 6.3.2. Canada Edge AI Hardware Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Device
        • 6.3.2.2.2. By Power Consumption
        • 6.3.2.2.3. By Function
        • 6.3.2.2.4. By Processor
        • 6.3.2.2.5. By Vertical
    • 6.3.3. Mexico Edge AI Hardware Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Device
        • 6.3.3.2.2. By Power Consumption
        • 6.3.3.2.3. By Function
        • 6.3.3.2.4. By Processor
        • 6.3.3.2.5. By Vertical

7. Asia-Pacific Edge AI Hardware Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Device
    • 7.2.2. By Power Consumption
    • 7.2.3. By Function
    • 7.2.4. By Processor
    • 7.2.5. By Vertical
    • 7.2.6. By Country
  • 7.3. Asia-Pacific: Country Analysis
    • 7.3.1. China Edge AI Hardware Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Device
        • 7.3.1.2.2. By Power Consumption
        • 7.3.1.2.3. By Function
        • 7.3.1.2.4. By Processor
        • 7.3.1.2.5. By Vertical
    • 7.3.2. Japan Edge AI Hardware Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Device
        • 7.3.2.2.2. By Power Consumption
        • 7.3.2.2.3. By Function
        • 7.3.2.2.4. By Processor
        • 7.3.2.2.5. By Vertical
    • 7.3.3. South Korea Edge AI Hardware Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Device
        • 7.3.3.2.2. By Power Consumption
        • 7.3.3.2.3. By Function
        • 7.3.3.2.4. By Processor
        • 7.3.3.2.5. By Vertical
    • 7.3.4. India Edge AI Hardware Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Device
        • 7.3.4.2.2. By Power Consumption
        • 7.3.4.2.3. By Function
        • 7.3.4.2.4. By Processor
        • 7.3.4.2.5. By Vertical
    • 7.3.5. Australia Edge AI Hardware Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Device
        • 7.3.5.2.2. By Power Consumption
        • 7.3.5.2.3. By Function
        • 7.3.5.2.4. By Processor
        • 7.3.5.2.5. By Vertical

8. Europe Edge AI Hardware Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Device
    • 8.2.2. By Power Consumption
    • 8.2.3. By Function
    • 8.2.4. By Processor
    • 8.2.5. By Vertical
    • 8.2.6. By Country
  • 8.3. Europe: Country Analysis
    • 8.3.1. Germany Edge AI Hardware Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Device
        • 8.3.1.2.2. By Power Consumption
        • 8.3.1.2.3. By Function
        • 8.3.1.2.4. By Processor
        • 8.3.1.2.5. By Vertical
    • 8.3.2. United Kingdom Edge AI Hardware Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Device
        • 8.3.2.2.2. By Power Consumption
        • 8.3.2.2.3. By Function
        • 8.3.2.2.4. By Processor
        • 8.3.2.2.5. By Vertical
    • 8.3.3. France Edge AI Hardware Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Device
        • 8.3.3.2.2. By Power Consumption
        • 8.3.3.2.3. By Function
        • 8.3.3.2.4. By Processor
        • 8.3.3.2.5. By Vertical
    • 8.3.4. Italy Edge AI Hardware Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Device
        • 8.3.4.2.2. By Power Consumption
        • 8.3.4.2.3. By Function
        • 8.3.4.2.4. By Processor
        • 8.3.4.2.5. By Vertical
    • 8.3.5. Spain Edge AI Hardware Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Device
        • 8.3.5.2.2. By Power Consumption
        • 8.3.5.2.3. By Function
        • 8.3.5.2.4. By Processor
        • 8.3.5.2.5. By Vertical

9. South America Edge AI Hardware Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Device
    • 9.2.2. By Power Consumption
    • 9.2.3. By Function
    • 9.2.4. By Processor
    • 9.2.5. By Vertical
    • 9.2.6. By Country
  • 9.3. South America: Country Analysis
    • 9.3.1. Brazil Edge AI Hardware Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Device
        • 9.3.1.2.2. By Power Consumption
        • 9.3.1.2.3. By Function
        • 9.3.1.2.4. By Processor
        • 9.3.1.2.5. By Vertical
    • 9.3.2. Argentina Edge AI Hardware Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Device
        • 9.3.2.2.2. By Power Consumption
        • 9.3.2.2.3. By Function
        • 9.3.2.2.4. By Processor
        • 9.3.2.2.5. By Vertical
    • 9.3.3. Colombia Edge AI Hardware Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Device
        • 9.3.3.2.2. By Power Consumption
        • 9.3.3.2.3. By Function
        • 9.3.3.2.4. By Processor
        • 9.3.3.2.5. By Vertical

10. Middle East & Africa Edge AI Hardware Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Device
    • 10.2.2. By Power Consumption
    • 10.2.3. By Function
    • 10.2.4. By Processor
    • 10.2.5. By Vertical
    • 10.2.6. By Country
  • 10.3. Middle East & Africa: Country Analysis
    • 10.3.1. Israel Edge AI Hardware Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Device
        • 10.3.1.2.2. By Power Consumption
        • 10.3.1.2.3. By Function
        • 10.3.1.2.4. By Processor
        • 10.3.1.2.5. By Vertical
    • 10.3.2. Turkey Edge AI Hardware Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Device
        • 10.3.2.2.2. By Power Consumption
        • 10.3.2.2.3. By Function
        • 10.3.2.2.4. By Processor
        • 10.3.2.2.5. By Vertical
    • 10.3.3. UAE Edge AI Hardware Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Device
        • 10.3.3.2.2. By Power Consumption
        • 10.3.3.2.3. By Function
        • 10.3.3.2.4. By Processor
        • 10.3.3.2.5. By Vertical
    • 10.3.4. Saudi Arabia Edge AI Hardware Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Device
        • 10.3.4.2.2. By Power Consumption
        • 10.3.4.2.3. By Function
        • 10.3.4.2.4. By Processor
        • 10.3.4.2.5. By Vertical

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

13. Company Profiles

  • 13.1. Qualcomm Technologies, Inc.
    • 13.1.1. Business Overview
    • 13.1.2. Key Revenue (If Available)
    • 13.1.3. Recent Developments
    • 13.1.4. Key Personnel
    • 13.1.5. Key Product/Service Offered
  • 13.2. Huawei Technologies Co. Ltd.
    • 13.2.1. Business Overview
    • 13.2.2. Key Revenue (If Available)
    • 13.2.3. Recent Developments
    • 13.2.4. Key Personnel
    • 13.2.5. Key Product/Service Offered
  • 13.3. Samsung Electronics Co. Ltd.
    • 13.3.1. Business Overview
    • 13.3.2. Key Revenue (If Available)
    • 13.3.3. Recent Developments
    • 13.3.4. Key Personnel
    • 13.3.5. Key Product/Service Offered
  • 13.4. MediaTek Inc.
    • 13.4.1. Business Overview
    • 13.4.2. Key Revenue (If Available)
    • 13.4.3. Recent Developments
    • 13.4.4. Key Personnel
    • 13.4.5. Key Product/Service Offered
  • 13.5. International Business Machines Corporation (IBM)
    • 13.5.1. Business Overview
    • 13.5.2. Key Revenue (If Available)
    • 13.5.3. Recent Developments
    • 13.5.4. Key Personnel
    • 13.5.5. Key Product/Service Offered
  • 13.6. Microsoft Corporation
    • 13.6.1. Business Overview
    • 13.6.2. Key Revenue (If Available)
    • 13.6.3. Recent Developments
    • 13.6.4. Key Personnel
    • 13.6.5. Key Product/Service Offered
  • 13.7. NVIDIA Corporation
    • 13.7.1. Business Overview
    • 13.7.2. Key Revenue (If Available)
    • 13.7.3. Recent Developments
    • 13.7.4. Key Personnel
    • 13.7.5. Key Product/Service Offered
  • 13.8. Google LLC (Alphabet Inc.)
    • 13.8.1. Business Overview
    • 13.8.2. Key Revenue (If Available)
    • 13.8.3. Recent Developments
    • 13.8.4. Key Personnel
    • 13.8.5. Key Product/Service Offered
  • 13.9. Apple Inc.
    • 13.9.1. Business Overview
    • 13.9.2. Key Revenue (If Available)
    • 13.9.3. Recent Developments
    • 13.9.4. Key Personnel
    • 13.9.5. Key Product/Service Offered
  • 13.10. Intel Corporation
    • 13.10.1. Business Overview
    • 13.10.2. Key Revenue (If Available)
    • 13.10.3. Recent Developments
    • 13.10.4. Key Personnel
    • 13.10.5. Key Product/Service Offered

14. Strategic Recommendations

15. About Us & Disclaimer

(Note: The companies list can be customized based on the client requirements.)