查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1970074

2026年全球人工智慧（AI）边缘运算市场报告

Artificial Intelligence (AI) Edge Computing Global Market Report 2026
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。预计该市场规模将从2025年的243.6亿美元成长到2026年的295亿美元，复合年增长率（CAGR）为21.1%。过去几年的成长主要归功于工业物联网（IIoT）设备的日益普及、对低延迟资料处理的需求、工业自动化技术的进步、智慧感测器的广泛应用以及分散式运算的需求等因素。

预计未来几年人工智慧 (AI) 边缘运算市场将快速成长，到 2030 年市场规模将达到 635.9 亿美元，复合年增长率 (CAGR) 为 21.2%。预测期内的成长要素包括 AI 边缘演算法的进步、边缘运算与 5G 网路的融合、製造业对即时分析需求的不断增长、基于边缘的影像分析应用的扩展以及边缘安全 AI 解决方案的日益普及。预测期内的关键趋势包括即时边缘资料处理、AI 驱动的预测性维护、低延迟决策、基于边缘的影像分析以及安全边缘运算解决方案。

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自动化是指利用人工智慧技术执行过去依赖人工干预的任务和流程。随着工业企业将即时回应、高营运效率和预测性维护视为提高生产力的首要任务，AI自动化技术的应用也日益广泛。 AI边缘运算透过在机器运作的网路边缘直接进行即时数据分析和决策，为工业环境中的AI自动化提供支援。例如，根据欧盟委员会（欧盟执行机构）的数据，截至2023年7月，欧盟境内部署的边缘节点数量预计将从2022年的499个增加到2023年的1186个。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) 边缘运算市场的主要企业正致力于开发采用先进技术解决方案的创新产品，例如将边缘 GPU 推理网路与本地运算节点相结合，以将资料处理更靠近终端用户，并降低 AI 应用的延迟。边缘 GPU 推理是一种分散式运算方法，它将推理硬体（例如 GPU）部署在更靠近资料来源和使用者的位置，而不是集中式资料中心，从而降低资料传输成本并加快回应速度。例如，总部位于美国的云端连接公司 Cloudflare 于 2023 年 9 月宣布在其全球边缘网路中部署 NVIDIA GPU 和乙太网路切换器。这将使 Cloudflare 能够在 2023 年底前在 100 多个城市实现低延迟 AI 推理，并在 2024 年底前覆盖几乎整个网路。 Cloudflare 透过在其分散式边缘网路上直接执行 NVIDIA 加速的模型，实现了超低延迟的超当地语系化AI 推理。这能够加快回应速度，减少资料传输，并实现更靠近终端用户的可扩展 AI 部署。

目录

第一章执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球人工智慧（AI）边缘运算市场：吸引力评分及分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 人工智慧（AI）和自主人工智慧
    • 物联网、智慧基础设施、互联生态系统
    • 数位化、云端运算、巨量资料、网路安全
    • 工业4.0和智慧製造
    • 自主系统、机器人、智慧运输
  • 主要趋势
    • 即时边缘资料处理
    • 人工智慧驱动的预测性维护
    • 低延迟决策
    • 基于边缘的影像分析
    • 安全边缘运算解决方案

第五章 终端用户产业市场分析

  • 车
  • 卫生保健
  • 製造与机器人
  • 运输/物流
  • 公共基础设施

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球人工智慧（AI）边缘运算市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 全球人工智慧（AI）边缘运算市场规模、对比及成长率分析
  • 全球人工智慧（AI）边缘运算市场表现：规模与成长，2020-2025年
  • 全球人工智慧（AI）边缘运算市场预测：规模与成长，2025-2030年，2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 按组件
  • 硬体、软体、服务
  • 透过使用
  • 工业物联网 (IIoT)、远端监控、内容传送、影像分析、扩增实境(AR) 和虚拟实境 (VR) 以及其他应用
  • 按组织规模
  • 大型企业、中小企业
  • 按行业
  • 汽车、医疗、化学、石油天然气、製造和机器人、公共基础设施、交通运输和物流以及其他行业
  • 按类型细分：硬体
  • 边缘伺服器、边缘网关、物联网设备、网路设备
  • 按类型细分：软体
  • 人工智慧软体平台、资料管理软体、边缘分析软体
  • 按类型细分：服务
  • 咨询服务、整合服务、支援与维护服务

第十章各国市场/产业指标

第十一章 区域与国别分析

  • 全球人工智慧（AI）边缘运算市场：按地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年
  • 全球人工智慧（AI）边缘运算市场：按国家/地区划分，实际值和预测值，2020-2025年、2025-2030年预测值、2035年预测值

第十二章 亚太市场

第十三章：中国市场

第十四章：印度市场

第十五章：日本市场

第十六章：澳洲市场

第十七章：印尼市场

第十八章：韩国市场

第十九章 台湾市场

第二十章：东南亚市场

第21章 西欧市场

第22章英国市场

第23章：德国市场

第24章：法国市场

第25章：义大利市场

第26章：西班牙市场

第27章 东欧市场

第28章：俄罗斯市场

第29章 北美市场

第三十章：美国市场

第31章：加拿大市场

第32章：南美洲市场

第33章：巴西市场

第34章 中东市场

第35章：非洲市场

第三十六章 市场监理与投资环境

第37章：竞争格局与公司概况

  • 人工智慧（AI）边缘运算市场：竞争格局与市场份额，2024 年
  • 人工智慧（AI）边缘运算市场：公司估值矩阵
  • 人工智慧（AI）边缘运算市场：公司概况
    • Apple Inc.
    • Google LLC
    • Samsung Electronics Co. Ltd.
    • Microsoft Corporation
    • Dell Technologies Inc.

第38章 其他大型企业和创新企业

  • 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39章 全球市场竞争基准分析与仪錶板

第四十章 重大併购

第41章 具有高市场潜力的国家、细分市场与策略

  • 2030年人工智慧（AI）边缘运算市场：提供新机会的国家
  • 2030年人工智慧（AI）边缘运算市场：新兴细分市场机会
  • 2030 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
    • 竞争对手的策略

第42章附录

简介目录
Product Code: IT3MAIAE02_G26Q1

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.

Tariffs have affected the AI edge computing market by influencing the cost and supply of edge hardware components such as servers, gateways, IoT devices, and networking equipment. The impact is most pronounced in regions like North America, Europe, and Asia-Pacific, where major industrial, transportation, and infrastructure hubs rely on imported hardware. Segments including edge servers, AI software platforms, and integration services experience increased operational costs due to tariffs. However, these tariffs have also motivated companies to localize production, optimize supply chains, and innovate cost-efficient edge computing solutions, providing potential long-term benefits for the market.

The artificial intelligence (AI) edge computing market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) edge computing market statistics, including artificial intelligence (AI) edge computing industry global market size, regional shares, competitors with a artificial intelligence (AI) edge computing market share, detailed artificial intelligence (AI) edge computing market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) edge computing industry. This artificial intelligence (AI) edge computing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI) edge computing market size has grown exponentially in recent years. It will grow from $24.36 billion in 2025 to $29.5 billion in 2026 at a compound annual growth rate (CAGR) of 21.1%. The growth in the historic period can be attributed to rising adoption of iiot devices, need for low-latency data processing, growth of industrial automation, increasing deployment of smart sensors, demand for decentralized computing.

The artificial intelligence (AI) edge computing market size is expected to see exponential growth in the next few years. It will grow to $63.59 billion in 2030 at a compound annual growth rate (CAGR) of 21.2%. The growth in the forecast period can be attributed to advancements in AI edge algorithms, integration of edge computing with 5g networks, growing demand for real-time analytics in manufacturing, expansion of edge-based video analytics applications, increasing adoption of secure AI solutions at edge. Major trends in the forecast period include real-time edge data processing, ai-driven predictive maintenance, low-latency decision making, edge-based video analytics, secure edge computing solutions.

The increasing adoption of artificial intelligence (AI) automation in industrial machinery is expected to fuel the growth of the AI edge computing market going forward. AI automation refers to the use of AI technologies to execute tasks and processes that have traditionally relied on human involvement. The adoption of AI automation is rising because industrial organizations are prioritizing real-time responsiveness, higher operational efficiency, and predictive maintenance to improve productivity. AI edge computing enables real-time data analysis and decision-making directly at the network edge where machines operate, supporting AI automation in industrial environments. For instance, in July 2023, according to the European Commission, an EU-based executive body, the estimated number of deployed edge nodes in the European Union increased from 499 units in 2022 to 1,186 units in 2023. Therefore, the increasing adoption of AI automation in industrial machinery is driving the growth of the AI edge computing market.

Major companies operating in the artificial intelligence (AI) edge computing market are focusing on developing innovative products with advanced technological solutions, such as edge-enabled GPU inference networks combined with local compute nodes, to move data processing closer to end users and reduce latency in AI-powered applications. An edge GPU inference deployment refers to a distributed computing approach in which inference hardware, such as GPUs, is installed near the data source or user rather than in centralized data centers, resulting in lower data transfer costs and faster response times. For instance, in September 2023, Cloudflare, Inc., a US-based connectivity cloud company, announced the deployment of NVIDIA GPUs and Ethernet switches across its global edge network, making low-latency AI inference available in more than 100 cities by the end of 2023 and nearly across its entire network by the end of 2024. Cloudflare delivers ultra-low-latency, hyper-local AI inference by running NVIDIA-accelerated models directly on its distributed edge network, resulting in quicker response times, reduced data movement, and scalable AI deployment closer to end users.

In September 2024, Viasat, Inc., a U.S.-based global satellite communications company, entered into a partnership with Pulsar International, Inc. Through this partnership, Viasat, Inc. aims to expand its L-band satellite network and connectivity services by utilizing Pulsar International, Inc.'s expertise in remote-environment operations, further enhancing connectivity and edge-data-capable services in challenging and underserved regions. Pulsar International, Inc. is a U.S.-based company specializing in satellite communications and connectivity solutions designed for remote and harsh environments.

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 2025. 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, South East Asia, 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, Taiwan, 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 Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses 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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
  • Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • 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.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

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; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; South East Asia; 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: Word, PDF or Interactive Report
  • + Excel Dashboard
  • Added Benefits
  • Bi-Annual Data Update
  • Customisation
  • Expert Consultant Support

Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Artificial Intelligence (AI) Edge Computing Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Artificial Intelligence (AI) Edge Computing Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Artificial Intelligence (AI) Edge Computing Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

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

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.3 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.4 Industry 4.0 & Intelligent Manufacturing
    • 4.1.5 Autonomous Systems, Robotics & Smart Mobility
  • 4.2. Major Trends
    • 4.2.1 Real-Time Edge Data Processing
    • 4.2.2 Ai-Driven Predictive Maintenance
    • 4.2.3 Low-Latency Decision Making
    • 4.2.4 Edge-Based Video Analytics
    • 4.2.5 Secure Edge Computing Solutions

5. Artificial Intelligence (AI) Edge Computing Market Analysis Of End Use Industries

  • 5.1 Automotive
  • 5.2 Healthcare
  • 5.3 Manufacturing And Robotics
  • 5.4 Transportation And Logistics
  • 5.5 Public Infrastructure

6. Artificial Intelligence (AI) Edge Computing Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Artificial Intelligence (AI) Edge Computing Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Artificial Intelligence (AI) Edge Computing PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Artificial Intelligence (AI) Edge Computing Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Artificial Intelligence (AI) Edge Computing Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Artificial Intelligence (AI) Edge Computing Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Artificial Intelligence (AI) Edge Computing Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Artificial Intelligence (AI) Edge Computing Market Segmentation

  • 9.1. Global Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Hardware, Software, Services
  • 9.2. Global Artificial Intelligence (AI) Edge Computing Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Industrial Internet Of Things (IIoT), Remote Monitoring, Content Delivery, Video Analytics, Augmented Reality (AR) And Virtual Reality (VR), Other Applications
  • 9.3. Global Artificial Intelligence (AI) Edge Computing Market, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Large Enterprises, Small And Medium Sized Enterprises
  • 9.4. Global Artificial Intelligence (AI) Edge Computing Market, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Automotive, Healthcare, Chemicals, Oil And Gas, Manufacturing And robotics, Public Infrastructure, Transportation And Logistics, Other Industry Verticals
  • 9.5. Global Artificial Intelligence (AI) Edge Computing Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Edge Servers, Edge Gateways, Iot Devices, Networking Equipment
  • 9.6. Global Artificial Intelligence (AI) Edge Computing Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • AI Software Platforms, Data Management Software, Edge Analytics Software
  • 9.7. Global Artificial Intelligence (AI) Edge Computing Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Consulting Services, Integration Services, Support And Maintenance Services

10. Artificial Intelligence (AI) Edge Computing Market, Industry Metrics By Country

  • 10.1. Global Artificial Intelligence (AI) Edge Computing Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Artificial Intelligence (AI) Edge Computing Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

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

  • 11.1. Global Artificial Intelligence (AI) Edge Computing Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Artificial Intelligence (AI) Edge Computing Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 12.1. 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
  • 12.2. Asia-Pacific Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Artificial Intelligence (AI) Edge Computing Market

  • 13.1. China Artificial Intelligence (AI) Edge Computing Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Artificial Intelligence (AI) Edge Computing Market

  • 14.1. India Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Artificial Intelligence (AI) Edge Computing Market

  • 15.1. Japan Artificial Intelligence (AI) Edge Computing Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Artificial Intelligence (AI) Edge Computing Market

  • 16.1. Australia Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Artificial Intelligence (AI) Edge Computing Market

  • 17.1. Indonesia Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 18.1. South Korea Artificial Intelligence (AI) Edge Computing Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Artificial Intelligence (AI) Edge Computing Market

  • 19.1. Taiwan Artificial Intelligence (AI) Edge Computing Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Artificial Intelligence (AI) Edge Computing Market

  • 20.1. South East Asia 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
  • 20.2. South East Asia Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 21.1. Western Europe 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
  • 21.2. Western Europe Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Artificial Intelligence (AI) Edge Computing Market

  • 22.1. UK Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Artificial Intelligence (AI) Edge Computing Market

  • 23.1. Germany Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Artificial Intelligence (AI) Edge Computing Market

  • 24.1. France Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Artificial Intelligence (AI) Edge Computing Market

  • 25.1. Italy Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Artificial Intelligence (AI) Edge Computing Market

  • 26.1. Spain Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 27.1. Eastern Europe 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
  • 27.2. Eastern Europe Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Artificial Intelligence (AI) Edge Computing Market

  • 28.1. Russia Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 29.1. North America 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
  • 29.2. North America Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Artificial Intelligence (AI) Edge Computing Market

  • 30.1. USA Artificial Intelligence (AI) Edge Computing Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Artificial Intelligence (AI) Edge Computing Market

  • 31.1. Canada Artificial Intelligence (AI) Edge Computing Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 32.1. South America 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
  • 32.2. South America Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Artificial Intelligence (AI) Edge Computing Market

  • 33.1. Brazil Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 34.1. Middle East 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
  • 34.2. Middle East Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Artificial Intelligence (AI) Edge Computing Market

  • 35.1. Africa 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
  • 35.2. Africa Artificial Intelligence (AI) Edge Computing Market, Segmentation By Component, Segmentation By Application, Segmentation By Organization Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Artificial Intelligence (AI) Edge Computing Market Regulatory and Investment Landscape

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

  • 37.1. Artificial Intelligence (AI) Edge Computing Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Artificial Intelligence (AI) Edge Computing Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Artificial Intelligence (AI) Edge Computing Market Company Profiles
    • 37.3.1. Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis

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

  • 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)

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

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

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

  • 41.1. Artificial Intelligence (AI) Edge Computing Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. Artificial Intelligence (AI) Edge Computing Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. Artificial Intelligence (AI) Edge Computing Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer