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1847235

2025年人工智慧（AI）邊緣運算全球市場報告

Artificial Intelligence (AI) Edge Computing 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，人工智慧（AI）邊緣運算市場發展迅速，預計將從2024年的202.9億美元成長到2025年的243.6億美元，複合年成長率（CAGR）為20.0%。這一成長主要歸功於物聯網設備的普及、邊緣運算技術的進步、對即時資料處理需求的不斷成長、人工智慧和機器學習應用的興起，以及人們對資料隱私和安全日益成長的關注。

預計未來幾年人工智慧（AI）邊緣運算市場將呈指數級成長，到2029年市場規模將達到524.5億美元，複合年成長率（CAGR）為21.1%。預測期內的成長可歸因於5G網路的擴展、自動駕駛汽車中邊緣AI的應用、工業4.0舉措的興起、AI與邊緣設備的整合以及邊緣運算基礎設施的加速部署。預測期內的關鍵趨勢包括邊緣AI市場的整合、邊緣AI即服務（Edge AI-as-a-Service，AIAAS）的興起、向分散式AI架構的轉變、混合邊緣雲端運算模式的興起以及對邊緣AI永續性和能源效率日益成長的關注。

人工智慧（AI）邊緣運算是指將AI演算法和模型部署在感測器、攝影機和邊緣伺服器等邊緣設備上，這些設備更靠近資料來源和終端用戶設備。這種方法將AI功能直接帶到網路邊緣，從而實現即時資料處理、分析和決策，而無需完全依賴集中式雲端伺服器。

人工智慧（AI）邊緣運算的主要組成部分包括硬體、軟體和服務。 AI邊緣運算硬體指的是專門設計用於支援網路邊緣AI推理和處理任務的實體設備和組件。這些硬體可用於工業物聯網（IIoT）、遠端監控、內容傳送、視訊分析、擴增實境（AR）和虛擬實境（VR）等應用，並廣泛應用於各種組織機構，包括大型企業和小型企業，涵蓋汽車、醫療保健、化學、石油天然氣、製造和機器人、公共基礎設施、交通運輸和物流等行業。

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週期和價格壓力。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。

人工智慧（AI）邊緣運算的主要組成部分包括硬體、軟體和服務。人工智慧（AI）邊緣運算硬體指的是專門設計用於支援網路邊緣AI推理和處理任務的實體設備和組件。這些硬體和組件可用於工業物聯網（IIoT）、遠端監控、內容傳送、視訊分析、擴增實境（AR）和虛擬實境（VR）等應用，並廣泛應用於各種組織機構，包括大型企業和小型企業，涵蓋汽車、醫療保健、化學、石油天然氣、製造和機器人、公共基礎設施、交通運輸和物流等行業。

未來五年21.1%的成長率預測較我們先前的預測略微下調了0.2%。這一下調主要歸因於美國與其他國家之間的關稅影響。這可能直接影響美國，例如對台灣低功耗人工智慧晶片徵收關稅，從而減緩物聯網部署速度並增加智慧計劃的成本。此外，由於相互關稅措施以及貿易緊張局勢和限制加劇對全球經濟和貿易的負面影響，其影響範圍將更加廣泛。

工業機械領域人工智慧（AI）自動化技術的日益普及預計將推動AI邊緣運算市場的成長。 AI自動化是指利用AI技術執行通常需要人工介入的任務和流程。 AI邊緣運算透過在機器運行的網路邊緣實現即時數據處理和決策，為這種自動化提供支援。例如，美國科技公司國際商業機器公司（IBM）在2022年5月發布的報告指出，全球AI採用率顯著成長，達到35%，比前一年成長了4個百分點。報告預測，2022年採用AI的公司數量將比2021年增加13%。此外，35%的組織表示已經採用了AI，42%的組織正在考慮採用AI，三分之二的公司（66%）表示他們已經在使用或計劃使用AI來實現永續性目標。因此，工業機械領域AI自動化技術的日益普及正在推動AI邊緣運算市場的成長。

人工智慧（AI）邊緣運算市場包括提供邊緣AI開發、邊緣設備管理、邊緣資料處理與分析以及邊緣安全等服務的營業單位所獲得的收入。市場價值還包括服務供應商銷售的或包含在其服務產品中的相關商品的價值。人工智慧（AI）邊緣運算市場還包括邊緣運算設備、邊緣AI開發套件和邊緣AI管理工具的銷售額。此市場價值為“出廠價”，即商品製造商或創造者銷售給其他營業單位（包括下游製造商、經銷商、分銷商和零售商）或直接銷售給最終客戶的商品價值。該市場中的商品價值還包括商品創造者銷售的任何相關服務。

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

  • 全球人工智慧（AI）邊緣運算：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
  • 全球人工智慧（AI）邊緣運算市場：成長率分析
  • 全球人工智慧（AI）邊緣運算市場表現：規模與成長，2019-2024年
  • 全球人工智慧（AI）邊緣運算市場預測：規模與成長，2024-2029年，2034年
  • 全球人工智慧（AI）邊緣運算：潛在市場規模（TAM）

第6章 市場細分

  • 全球人工智慧（AI）邊緣運算市場：按組件、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 硬體
  • 軟體
  • 服務
  • 全球人工智慧（AI）邊緣運算市場：按應用、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 工業IoT（IIoT）
  • 遠端監控
  • 內容傳送
  • 影片分析
  • 擴增實境（AR）和虛擬實境（VR）
  • 其他用途
  • 全球人工智慧（AI）邊緣運算市場：依組織規模、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 主要企業
  • 小型企業
  • 全球人工智慧（AI）邊緣運算市場：按產業、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 車
  • 衛生保健
  • 化學品
  • 石油和天然氣
  • 製造與機器人
  • 公共基礎設施
  • 運輸/物流
  • 其他行業
  • 全球人工智慧（AI）邊緣運算市場：按硬體（類型）、效能和預測進行細分，2019-2024年、2024-2029年、2034年
  • 邊緣伺服器
  • 邊緣閘道器
  • 物聯網設備
  • 網路裝置
  • 全球人工智慧（AI）邊緣運算市場：按軟體（類型）、效能和預測細分，2019-2024年、2024-2029年、2034年
  • 人工智慧軟體平台
  • 資料管理軟體
  • 邊緣分析軟體
  • 全球人工智慧（AI）邊緣運算市場：按服務類型、效能和預測進行細分，2019-2024年、2024-2029年、2034年
  • 諮詢服務
  • 整合服務
  • 支援和維護服務

第7章 區域和國家分析

  • 全球人工智慧（AI）邊緣運算市場：區域表現及預測，2019-2024年、2024-2029年及2034年
  • 全球人工智慧（AI）邊緣運算市場：按國家/地區、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

  • 人工智慧（AI）邊緣運算市場：競爭格局
  • 人工智慧（AI）邊緣運算市場：公司概況
    • Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他領先和創新企業

  • Huawei Technologies Co. Ltd.
  • Siemens AG
  • General Electric Company（GE）
  • Intel Corporation
  • Accenture PLC
  • IBM Corporation
  • Cisco Systems Inc.
  • Oracle Corporation
  • Honeywell International Inc.
  • SAP SE
  • Fujitsu Limited
  • Hewlett Packard Enterprise（HPE）
  • NVIDIA Corporation
  • NEC Corporation
  • Advanced Micro Devices Inc.（AMD）

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年人工智慧（AI）邊緣運算市場：提供新機會的國家
  • 2029年人工智慧（AI）邊緣運算市場：新興細分市場機會
  • 2029年人工智慧（AI）邊緣運算市場：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: r27365u

Artificial intelligence (AI) edge computing refers to deploying AI algorithms and models on edge devices, such as sensors, cameras, or edge servers, located closer to the data source or end-user device. This approach brings AI capabilities directly to the network's edge, enabling real-time data processing, analysis, and decision-making without relying solely on centralized cloud servers.

The main components of artificial intelligence (AI) edge computing are hardware, software, and services. Artificial intelligence (AI) edge computing hardware refers to physical devices or components that are specifically designed to support AI inference and processing tasks at the edge of the network. They are used for industrial internet of things (IIoT), remote monitoring, content delivery, video analytics, augmented reality (AR) and virtual reality (VR), and other applications in various organizations such as large enterprises, and small and medium sized enterprises of automotive, healthcare, chemicals, oil and gas, manufacturing and robotics, public infrastructure, transportation and logistics, and other industry verticals.

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 main components of artificial intelligence (AI) edge computing are hardware, software, and services. Artificial intelligence (AI) edge computing hardware refers to physical devices or components that are specifically designed to support AI inference and processing tasks at the edge of the network. They are used for industrial internet of things (IIoT), remote monitoring, content delivery, video analytics, augmented reality (AR) and virtual reality (VR), and other applications in various organizations such as large enterprises, and small and medium sized enterprises of automotive, healthcare, chemicals, oil and gas, manufacturing and robotics, public infrastructure, transportation and logistics, and other industry verticals.

The artificial intelligence (ai) edge computing market size has grown exponentially in recent years. It will grow from $20.29 billion in 2024 to $24.36 billion in 2025 at a compound annual growth rate (CAGR) of 20.0%. The growth in the historic period can be attributed to proliferation of IoT devices, advancements in edge computing technology, increasing demand for real-time data processing, growth of AI and machine learning applications, rising concerns over data privacy and security.

The artificial intelligence (ai) edge computing market size is expected to see exponential growth in the next few years. It will grow to $52.45 billion in 2029 at a compound annual growth rate (CAGR) of 21.1%. The growth in the forecast period can be attributed to expansion of 5G networks, adoption of edge AI in autonomous vehicles, emergence of Industry 4.0 initiatives, integration of AI into edge devices, accelerated deployment of edge computing infrastructure. Major trends in the forecast period include edge AI market consolidation, rise of edge AI as a service (AIAAS), shift towards decentralized AI architectures, rise of hybrid edge-cloud computing models, increasing focus on edge AI sustainability and energy efficiency.

The forecast of 21.1% growth over the next five years reflects a slight reduction of 0.2% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US by delaying IoT deployments due to tariffs on low-power AI chips from Taiwan, increasing costs for smart infrastructure projects. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The growing adoption of artificial intelligence (AI) automation in industrial machinery is expected to drive the growth of the AI edge computing market. AI automation involves using AI technologies to perform tasks and processes that typically require human input. AI edge computing supports this automation by enabling real-time data processing and decision-making at the network's edge, where the machinery operates. For example, in May 2022, a report by International Business Machines Corporation (IBM), a US-based technology company, highlighted that global AI adoption increased significantly, reaching 35%, up four points from the previous year. In 2022, 13% more companies were expected to adopt AI compared to 2021. Additionally, 35% of organizations reported adopting AI, while 42% were considering it, with two-thirds of companies (66%) either already using or planning to use AI to achieve their sustainability goals. As a result, the growing implementation of AI automation in industrial machinery is fueling the growth of the AI edge computing market.

Major companies operating in the artificial intelligence (AI) edge computing market are developing innovative products such as NVIDIA Jetson AGX Orin for edge AI applications. The NVIDIA Jetson AGX Orin is a high-performance system-on-module (SoM) designed for edge AI applications. For instance, in March 2022, Nvidia, a US-based software company, launched NVIDIA Jetson AGX Orin, specifically built for embedded systems and edge computing devices. The Jetson AGX Orin features the latest Orin system-on-chip (SoC), which is based on NVIDIA's Ampere architecture and includes multiple GPU cores, CPU cores, and specialized accelerators for AI inference and computer vision tasks. The NVIDIA Jetson AGX Orin is designed to provide high-performance AI capabilities in a compact and energy-efficient form factor, making it suitable for a wide range of edge AI applications in industries such as robotics, autonomous vehicles, and healthcare.

In August 2023, Sidus Space, a US-based satellite manufacturing and space data-as-a-service business, acquired Exo-Space for $0.468 million. The acquisition is expected to enhance Sidus Space's presence in the Earth and space industries and integrate edge computing with its satellite sensors. Exo-Space is a US-based company specializing in AI edge computing for software and space hardware.

Major companies operating in the artificial intelligence (AI) edge computing market are Apple Inc., Google LLC, Samsung Electronics Co. Ltd., Microsoft Corporation, Dell Technologies Inc., Huawei Technologies Co. Ltd., Siemens AG, General Electric Company (GE), Intel Corporation, Accenture PLC, IBM Corporation, Cisco Systems Inc., Oracle Corporation, Honeywell International Inc., SAP SE, Fujitsu Limited, Hewlett Packard Enterprise (HPE), NVIDIA Corporation, NEC Corporation, Advanced Micro Devices Inc. (AMD), MediaTek Inc., Baidu Inc., Xilinx Inc., RIGADO LLC, Amazon Web Services (AWS)

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

The countries covered in the artificial intelligence (AI) edge computing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) edge computing market includes revenues earned by entities by providing services such as edge AI development, edge device management, edge data processing and analytics, and edge security. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) edge computing market also includes sales of edge computing devices, edge AI development kits, and edge AI management tools. 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.

Artificial Intelligence (AI) Edge Computing 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 artificial intelligence (ai) edge computing 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 artificial intelligence (ai) edge computing ? 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 artificial intelligence (ai) edge computing 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: Hardware; Software; Services
  • 2) By Application: Industrial Internet Of Things (IIoT); Remote Monitoring; Content Delivery; Video Analytics; Augmented Reality (AR) And Virtual Reality (VR); Other Applications
  • 3) By Organization Size: Large Enterprises; Small And Medium Sized Enterprises
  • 4) By Industry Vertical: Automotive; Healthcare; Chemicals; Oil And Gas; Manufacturing And robotics; Public Infrastructure; Transportation And Logistics; Other Industry Verticals
  • Subsegments:
  • 1) By Hardware: Edge Servers; Edge Gateways; Iot Devices; Networking Equipment
  • 2) By Software: AI Software Platforms; Data Management Software; Edge Analytics Software
  • 3) By Services: Consulting Services; Integration Services; Support And Maintenance Services
  • Companies Mentioned: Apple Inc.; Google LLC; Samsung Electronics Co. Ltd.; Microsoft Corporation; Dell Technologies Inc.; Huawei Technologies Co. Ltd.; Siemens AG; General Electric Company (GE); Intel Corporation; Accenture PLC; IBM Corporation; Cisco Systems Inc.; Oracle Corporation; Honeywell International Inc.; SAP SE; Fujitsu Limited; Hewlett Packard Enterprise (HPE); NVIDIA Corporation; NEC Corporation; Advanced Micro Devices Inc. (AMD); MediaTek Inc.; Baidu Inc.; Xilinx Inc.; RIGADO LLC; Amazon Web Services (AWS)
  • 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. Artificial Intelligence (AI) Edge Computing Market Characteristics

3. Artificial Intelligence (AI) Edge Computing Market Trends And Strategies

4. Artificial Intelligence (AI) Edge Computing 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 Artificial Intelligence (AI) Edge Computing Growth Analysis And Strategic Analysis Framework

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

6. Artificial Intelligence (AI) Edge Computing Market Segmentation

  • 6.1. Global Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hardware
  • Software
  • Services
  • 6.2. Global Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Industrial Internet Of Things (IIoT)
  • Remote Monitoring
  • Content Delivery
  • Video Analytics
  • Augmented Reality (AR) And Virtual Reality (VR)
  • Other Applications
  • 6.3. Global Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Large Enterprises
  • Small And Medium Sized Enterprises
  • 6.4. Global Artificial Intelligence (AI) Edge Computing Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Automotive
  • Healthcare
  • Chemicals
  • Oil And Gas
  • Manufacturing And Robotics
  • Public Infrastructure
  • Transportation And Logistics
  • Other Industry Verticals
  • 6.5. Global Artificial Intelligence (AI) Edge Computing Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Edge Servers
  • Edge Gateways
  • IOT Devices
  • Networking Equipment
  • 6.6. Global Artificial Intelligence (AI) Edge Computing Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI Software Platforms
  • Data Management Software
  • Edge Analytics Software
  • 6.7. Global Artificial Intelligence (AI) Edge Computing Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • Integration Services
  • Support And Maintenance Services

7. Artificial Intelligence (AI) Edge Computing Market Regional And Country Analysis

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

8. Asia-Pacific Artificial Intelligence (AI) Edge Computing Market

  • 8.1. Asia-Pacific Artificial Intelligence (AI) Edge Computing 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 Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Artificial Intelligence (AI) Edge Computing Market

  • 9.1. China Artificial Intelligence (AI) Edge Computing Market Overview
  • 9.2. China Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Intelligence (AI) Edge Computing Market

  • 10.1. India Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Intelligence (AI) Edge Computing Market

  • 11.1. Japan Artificial Intelligence (AI) Edge Computing Market Overview
  • 11.2. Japan Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Intelligence (AI) Edge Computing Market

  • 12.1. Australia Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Intelligence (AI) Edge Computing Market

  • 13.1. Indonesia Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Intelligence (AI) Edge Computing Market

  • 14.1. South Korea Artificial Intelligence (AI) Edge Computing Market Overview
  • 14.2. South Korea Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Intelligence (AI) Edge Computing Market

  • 15.1. Western Europe Artificial Intelligence (AI) Edge Computing Market Overview
  • 15.2. Western Europe Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Intelligence (AI) Edge Computing Market

  • 16.1. UK Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Intelligence (AI) Edge Computing Market

  • 17.1. Germany Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Intelligence (AI) Edge Computing Market

  • 18.1. France Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Intelligence (AI) Edge Computing Market

  • 19.1. Italy Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Intelligence (AI) Edge Computing Market

  • 20.1. Spain Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Intelligence (AI) Edge Computing Market

  • 21.1. Eastern Europe Artificial Intelligence (AI) Edge Computing Market Overview
  • 21.2. Eastern Europe Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Intelligence (AI) Edge Computing Market

  • 22.1. Russia Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Intelligence (AI) Edge Computing Market

  • 23.1. North America Artificial Intelligence (AI) Edge Computing Market Overview
  • 23.2. North America Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Intelligence (AI) Edge Computing Market

  • 24.1. USA Artificial Intelligence (AI) Edge Computing Market Overview
  • 24.2. USA Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Intelligence (AI) Edge Computing Market

  • 25.1. Canada Artificial Intelligence (AI) Edge Computing Market Overview
  • 25.2. Canada Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Intelligence (AI) Edge Computing Market

  • 26.1. South America Artificial Intelligence (AI) Edge Computing Market Overview
  • 26.2. South America Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Intelligence (AI) Edge Computing Market

  • 27.1. Brazil Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Intelligence (AI) Edge Computing Market

  • 28.1. Middle East Artificial Intelligence (AI) Edge Computing Market Overview
  • 28.2. Middle East Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Intelligence (AI) Edge Computing Market

  • 29.1. Africa Artificial Intelligence (AI) Edge Computing Market Overview
  • 29.2. Africa Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Artificial Intelligence (AI) Edge Computing Market Competitive Landscape And Company Profiles

  • 30.1. Artificial Intelligence (AI) Edge Computing Market Competitive Landscape
  • 30.2. Artificial Intelligence (AI) Edge Computing Market Company Profiles
    • 30.2.1. Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Artificial Intelligence (AI) Edge Computing Market Other Major And Innovative Companies

  • 31.1. Huawei Technologies Co. Ltd.
  • 31.2. Siemens AG
  • 31.3. General Electric Company (GE)
  • 31.4. Intel Corporation
  • 31.5. Accenture PLC
  • 31.6. IBM Corporation
  • 31.7. Cisco Systems Inc.
  • 31.8. Oracle Corporation
  • 31.9. Honeywell International Inc.
  • 31.10. SAP SE
  • 31.11. Fujitsu Limited
  • 31.12. Hewlett Packard Enterprise (HPE)
  • 31.13. NVIDIA Corporation
  • 31.14. NEC Corporation
  • 31.15. Advanced Micro Devices Inc. (AMD)

32. Global Artificial Intelligence (AI) Edge Computing Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI) Edge Computing Market

34. Recent Developments In The Artificial Intelligence (AI) Edge Computing Market

35. Artificial Intelligence (AI) Edge Computing Market High Potential Countries, Segments and Strategies

  • 35.1 Artificial Intelligence (AI) Edge Computing Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Artificial Intelligence (AI) Edge Computing Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Artificial Intelligence (AI) Edge Computing 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