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市场调查报告书
商品编码
1847235

2025年人工智慧（AI）边缘运算全球市场报告

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个工作天内

价格
简介目录

近年来，人工智慧（AI）边缘运算市场发展迅速，预计将从2024年的202.9亿美元成长到2025年的243.6亿美元，复合年增长率（CAGR）为20.0%。这一成长主要归功于物联网设备的普及、边缘运算技术的进步、对即时资料处理需求的不断增长、人工智慧和机器学习应用的兴起，以及人们对资料隐私和安全日益增长的关注。

预计未来几年人工智慧（AI）边缘运算市场将呈指数级增长，到2029年市场规模将达到524.5亿美元，复合年增长率（CAGR）为21.1%。预测期内的成长可归因于5G网路的扩展、自动驾驶汽车中边缘AI的应用、工业4.0倡议的兴起、AI与边缘设备的整合以及边缘运算基础设施的加速部署。预测期内的关键趋势包括边缘AI市场的整合、边缘AI即服务（Edge AI-as-a-Service，AIAAS）的兴起、向分散式AI架构的转变、混合边缘云端运算模式的兴起以及对边缘AI永续性和能源效率日益增长的关注。

人工智慧（AI）边缘运算是指将AI演算法和模型部署在感测器、摄影机和边缘伺服器等边缘设备上，这些设备更靠近资料来源和终端用户设备。这种方法将AI功能直接带到网路边缘，从而实现即时资料处理、分析和决策，而无需完全依赖集中式云端伺服器。

人工智慧（AI）边缘运算的主要组成部分包括硬体、软体和服务。 AI边缘运算硬体指的是专门设计用于支援网路边缘AI推理和处理任务的实体设备和组件。这些硬体可用于工业物联网（IIoT）、远端监控、内容传送、视讯分析、扩增实境（AR）和虚拟实境（VR）等应用，并广泛应用于各种组织机构，包括大型企业和小型企业，涵盖汽车、医疗保健、化学、石油天然气、製造和机器人、公共基础设施、交通运输和物流等行业。

美国在2025年春季突然提高关税及其引发的贸易摩擦，对资讯科技产业，特别是硬体製造、资料基础设施和软体部署领域，产生了重大影响。进口半导体、电路基板和网路设备的关税上涨，推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司，面临更长的前置作业时间週期和价格压力。同时，对专用软体征收的关税以及主要国际市场的报復性措施，扰乱了全球IT供应链，并降低了海外对美国製造技术的需求。为了应对这些挑战，该产业正在加大对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化技术来增强韧性，更有效地控製成本。

人工智慧（AI）边缘运算的主要组成部分包括硬体、软体和服务。人工智慧（AI）边缘运算硬体指的是专门设计用于支援网路边缘AI推理和处理任务的实体设备和组件。这些硬体和组件可用于工业物联网（IIoT）、远端监控、内容传送、视讯分析、扩增实境（AR）和虚拟实境（VR）等应用，并广泛应用于各种组织机构，包括大型企业和小型企业，涵盖汽车、医疗保健、化学、石油天然气、製造和机器人、公共基础设施、交通运输和物流等行业。

未来五年21.1%的成长率预测较我们先前的预测略微下调了0.2%。这一下调主要归因于美国与其他国家之间的关税影响。这可能直接影响美国，例如对台湾低功耗人工智慧晶片征收关税，从而减缓物联网部署速度并增加智慧计划的成本。此外，由于相互关税措施以及贸易紧张局势和限制加剧对全球经济和贸易的负面影响，其影响范围将更加广泛。

工业机械领域人工智慧（AI）自动化技术的日益普及预计将推动AI边缘运算市场的成长。 AI自动化是指利用AI技术执行通常需要人工介入的任务和流程。 AI边缘运算透过在机器运行的网路边缘实现即时数据处理和决策，为这种自动化提供支援。例如，美国科技公司国际商业机器公司（IBM）在2022年5月发布的报告指出，全球AI采用率显着成长，达到35%，比前一年增长了4个百分点。报告预测，2022年采用AI的公司数量将比2021年增加13%。此外，35%的组织表示已经采用了AI，42%的组织正在考虑采用AI，三分之二的公司（66%）表示他们已经在使用或计划使用AI来实现永续性目标。因此，工业机械领域AI自动化技术的日益普及正在推动AI边缘运算市场的成长。

人工智慧（AI）边缘运算市场包括提供边缘AI开发、边缘设备管理、边缘资料处理与分析以及边缘安全等服务的营业单位所获得的收入。市场价值还包括服务供应商销售的或包含在其服务产品中的相关商品的价值。人工智慧（AI）边缘运算市场还包括边缘运算设备、边缘AI开发套件和边缘AI管理工具的销售额。此市场价值为“出厂价”，即商品製造商或创造者销售给其他营业单位（包括下游製造商、经销商、分销商和零售商）或直接销售给最终客户的商品价值。该市场中的商品价值还包括商品创造者销售的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球人工智慧（AI）边缘运算：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球人工智慧（AI）边缘运算市场：成长率分析
  • 全球人工智慧（AI）边缘运算市场表现：规模与成长，2019-2024年
  • 全球人工智慧（AI）边缘运算市场预测：规模与成长，2024-2029年，2034年
  • 全球人工智慧（AI）边缘运算：潜在市场规模（TAM）

第六章 市场细分

  • 全球人工智慧（AI）边缘运算市场：按组件、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 硬体
  • 软体
  • 服务
  • 全球人工智慧（AI）边缘运算市场：按应用、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 工业IoT（IIoT）
  • 远端监控
  • 内容传送
  • 影片分析
  • 扩增实境（AR）和虚拟实境（VR）
  • 其他用途
  • 全球人工智慧（AI）边缘运算市场：依组织规模、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 大公司
  • 小型企业
  • 全球人工智慧（AI）边缘运算市场：按产业、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 车
  • 卫生保健
  • 化学品
  • 石油和天然气
  • 製造与机器人
  • 公共基础设施
  • 运输/物流
  • 其他行业
  • 全球人工智慧（AI）边缘运算市场：按硬体（类型）、效能和预测进行细分，2019-2024年、2024-2029年、2034年
  • 边缘伺服器
  • 边缘网关
  • 物联网设备
  • 网路装置
  • 全球人工智慧（AI）边缘运算市场：按软体（类型）、效能和预测细分，2019-2024年、2024-2029年、2034年
  • 人工智慧软体平台
  • 资料管理软体
  • 边缘分析软体
  • 全球人工智慧（AI）边缘运算市场：按服务类型、效能和预测进行细分，2019-2024年、2024-2029年、2034年
  • 咨询服务
  • 整合服务
  • 支援和维护服务

第七章 区域和国家分析

  • 全球人工智慧（AI）边缘运算市场：区域表现及预测，2019-2024年、2024-2029年及2034年
  • 全球人工智慧（AI）边缘运算市场：按国家/地区、效能和预测划分，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章：西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 人工智慧（AI）边缘运算市场：竞争格局
  • 人工智慧（AI）边缘运算市场：公司概况
    • 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：其他领先和创新企业

  • 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 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年人工智慧（AI）边缘运算市场：提供新机会的国家
  • 2029年人工智慧（AI）边缘运算市场：新兴细分市场机会
  • 2029年人工智慧（AI）边缘运算市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: 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