세계의 AI 엣지 컴퓨팅 시장 : 규모, 점유율, 동향 분석 - 컴포넌트별, 조직 규모별, 용도별, 업계별, 지역별 전망과 예측(2024-2031년)

The Global AI Edge Computing Market size is expected to reach $64.8 billion by 2031, rising at a market growth of 20.9% CAGR during the forecast period.

Video analytics involves using AI to analyze video feeds in real-time, extracting valuable insights, and enabling automated responses. Edge computing enhances video analytics by processing data close to the source, reducing latency and bandwidth usage. This is particularly important for applications such as security and surveillance, where real-time analysis of video feeds is crucial for identifying potential threats and ensuring public safety. Retailers also use video analytics to understand customer behavior and optimize store layouts, while transportation systems leverage it for traffic management and incident detection. Thus, the Video analytics segment generates 12% revenue share in the market 2023.

The major strategies followed by the market participants are Partnership as the key developmental strategy to keep pace with the changing demands of end users. For instance, In June 2024, In April, 2023, Microsoft Corporation partnered with Epic, an AI services provider, to integrate Azure OpenAI with Epic's EHR software, enhancing productivity, patient care, and financial integrity in healthcare. This collaboration addresses healthcare's financial challenges and emphasizes responsible AI development. Additionally, HP, Inc. teamed up with NVIDIA, a global technology company, to launch NVIDIA AI Computing by HPE, featuring HPE Private Cloud AI, which integrates NVIDIA's AI computing stack with HPE's infrastructure. This solution would provide a scalable, energy-efficient path for generative AI deployment, supported by global system integrators and advanced infrastructure.

Based on the Analysis presented in the KBV Cardinal matrix; Cisco Systems, Inc. is the forerunner in the AI Edge Computing Market. Companies such as Amazon Web Services, Inc., Cisco Systems, Inc., IBM Corporation are some of the key innovators in AI Edge Computing Market. In September, 2022, IBM Corporation teamed up with Airtel, an Indian telecom company. The collaboration aimed to deploy Airtel's edge computing platform in India, utilizing IBM Cloud Satellite and Red Hat OpenShift.

Market Growth Factors

According to some projections, online-connected devices will surpass 30 billion by 2025. The IoT sector is already large and is expanding at a fast pace. The United Nations Conference on Trade and Development projects that by 2030, it will facilitate an increase from $1.6 trillion in 2020 to $12.6 trillion worldwide.

Additionally, the efficiency of AI models at the edge has improved significantly due to advancements in hardware and software. Edge devices are now equipped with specialized processors, such as GPUs and TPUs, designed to handle AI workloads efficiently. Thus, the advancements in AI and machine learning have significantly enhanced the capabilities of edge computing.

Market Restraining Factors

Deploying edge computing systems requires considerable upfront capital expenditure, which can be a significant barrier, especially for smaller organizations. The hardware component of edge computing involves purchasing advanced edge devices capable of handling complex AI tasks. These high-performance processors have a hefty price tag, adding to the overall cost. Hence, the high initial costs associated with deploying the necessary infrastructure pose a substantial challenge for the market.

The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Partnerships & Collaborations.

Component Outlook

Based on component, the market is divided into hardware, software, and services. The hardware segment garnered 73% revenue share in the market in 2023. The growing demand for sophisticated edge devices, including sensors, processors, and gateways, is the primary factor driving this dominance.

Organization Size Outlook

On the basis of organization size, the market is classified into large enterprises and small & medium enterprises. The small & medium enterprises segment recorded 36% revenue share in the market in 2023. SMEs increasingly recognize the benefits of edge computing in terms of cost efficiency, scalability, and enhanced performance.

Application Outlook

By application, the market is divided into IIoT, remote monitoring, content delivery, video analytics, AR & VR, and others. The AR & VR segment garnered 24% revenue share in the market in 2023. The integration of edge computing with AR and VR technologies enhances these applications' performance and user experience by providing low latency and high-speed data processing.

Vertical Outlook

Based on vertical, the market is segmented into automotive, healthcare, chemicals, oil & gas, manufacturing & robotics, public infrastructure, transportation & logistics, and others. The manufacturing & robotics segment acquired 24% revenue share in the market in 2023. One of the fundamental reasons for this is the widespread implementation of edge computing in manufacturing environments, which aims to enhance automation, predictive maintenance, quality control, and operational efficiency.

By Regional Analysis

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Europe segment acquired 28% revenue share in the market in 2023. Europe has been at the forefront of adopting cutting-edge technologies to boost its industrial and economic growth.

Market Competition and Attributes

The AI Edge Computing market is highly competitive with key players focusing on innovation and scalability. Attributes defining this market include robust computing capabilities at the edge, real-time data processing, low latency, and enhanced privacy and security features. Companies are leveraging AI algorithms to optimize edge devices' performance across industries like healthcare, manufacturing, and automotive. The market's growth is driven by increasing demand for decentralized AI solutions that can handle data locally while reducing dependence on cloud resources.

Recent Strategies Deployed in the Market

• In 2024, April, Vapor IO came into partnership with VAST Data, a technology company, to enhance AI deployments with Vapor IO's Zero Gap AI and the VAST Data Platform. This partnership provides an adaptable edge-to-core AI fabric, enabling enterprises to optimize their AI systems for various priorities, including cost, latency, accuracy, and resiliency.
• In February, 2024, Nokia Corporation extended its partnership with Dell Technologies, an American technology company. The two companies aimed at providing private wireless connectivity solutions by integrating Nokia Digital Automation Cloud (NDAC) private wireless solution with Dell's private wireless platform.
• In January, 2024, IBM Corporation partnered with American Tower, a wireless infrastructure services provider, to deploy a hybrid, multi-cloud computing platform at the edge. This partnership would enhance enterprise flexibility by leveraging American Tower's infrastructure with IBM's hybrid cloud capabilities.
• In July, 2023, HP, Inc. teamed up with VMware, a global cybersecurity company, to introduce new AI inferencing solutions with HPE ProLiant Gen11 servers, optimized for AI workloads. the solutions feature VMware Private AI for secure, efficient AI model deployment. Key benefits of the solutions include privacy, enhanced AI performance, and comprehensive support for various AI use cases.

List of Key Companies Profiled

• Comsovereign Holding Corp.
• Nokia Corporation
• Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
• Johnson Controls International PLC
• Vapor IO, Inc.
• IBM Corporation
• Rigado Inc.
• Cisco Systems, Inc.
• ClearBlade Inc.
• Hewlett Packard Enterprise Company
• Oracle Corporation
• Microsoft Corporation
• Amazon Web Services, Inc.

Global AI Edge Computing Market Report Segmentation

By Organization Size

• Large Enterprises
• Small & Medium Enterprises (SME)

By Component

• Hardware
• Software
• Services

By Application

• IIOT (Industrial Internet of Things)
• Remote Monitoring
• Content Delivery
• Video Analytics
• AR & VR (Augmented Reality and Virtual Reality)

By Vertical

• Manufacturing
• Healthcare
• Automotive
• Chemicals
• Oil & Gas
• Public Infrastructure and
• Transportation & Logistics
• Others

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

• 1.1 Market Definition
• 1.2 Objectives
• 1.3 Market Scope
• 1.4 Segmentation
  • 1.4.1 Global AI Edge Computing Market, by Organization Size
  • 1.4.2 Global AI Edge Computing Market, by Component
  • 1.4.3 Global AI Edge Computing Market, by Application
  • 1.4.4 Global AI Edge Computing Market, by Vertical
  • 1.4.5 Global AI Edge Computing Market, by Geography
• 1.5 Methodology for the research

Chapter 2. Market at a Glance

• 2.1 Key Highlights

Chapter 3. Market Overview

• 3.1 Introduction
  • 3.1.1 Overview
    • 3.1.1.1 Market Composition and Scenario
• 3.2 Key Factors Impacting the Market
  • 3.2.1 Market Drivers
  • 3.2.2 Market Restraints
  • 3.2.3 Market Opportunities
  • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

• 4.1 KBV Cardinal Matrix
• 4.2 Recent Industry Wide Strategic Developments
  • 4.2.1 Partnerships, Collaborations and Agreements
  • 4.2.2 Product Launches and Product Expansions
  • 4.2.3 Acquisition and Mergers
  • 4.2.4 Geographical Expansions
• 4.3 Top Winning Strategies
  • 4.3.1 Key Leading Strategies: Percentage Distribution (2020-2024)
  • 4.3.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2020, Oct - 2024, Jun) Leading Players
• 4.4 Porter Five Forces Analysis

Chapter 5. Global AI Edge Computing Market by Organization Size

• 5.1 Global Large Enterprises Market by Region
• 5.2 Global Small & Medium Enterprises Market by Region

Chapter 6. Global AI Edge Computing Market by Component

• 6.1 Global Hardware Market by Region
• 6.2 Global Software Market by Region
• 6.3 Global Services Market by Region

Chapter 7. Global AI Edge Computing Market by Application

• 7.1 Global IIoT Market by Region
• 7.2 Global Remote Monitoring Market by Region
• 7.3 Global Video Analytics Market by Region
• 7.4 Global Content Delivery Market by Region
• 7.5 Global AR&VR Market by Region
• 7.6 Global Others Market by Region

Chapter 8. Global AI Edge Computing Market by Vertical

• 8.1 Global Manufacturing & Robotics Market by Region
• 8.2 Global Healthcare Market by Region
• 8.3 Global Automotive Market by Region
• 8.4 Global Chemicals Market by Region
• 8.5 Global Oil & Gas Market by Region
• 8.6 Global Public Infrastructure Market by Region
• 8.7 Global Transportation & Logistics Market by Region
• 8.8 Global Others Market by Region

Chapter 9. Global AI Edge Computing Market by Region

• 9.1 North America AI Edge Computing Market
  • 9.1.1 North America AI Edge Computing Market by Organization Size
    • 9.1.1.1 North America Large Enterprises Market by Region
    • 9.1.1.2 North America Small & Medium Enterprises Market by Region
  • 9.1.2 North America AI Edge Computing Market by Component
    • 9.1.2.1 North America Hardware Market by Country
    • 9.1.2.2 North America Software Market by Country
    • 9.1.2.3 North America Services Market by Country
  • 9.1.3 North America AI Edge Computing Market by Application
    • 9.1.3.1 North America IIoT Market by Country
    • 9.1.3.2 North America Remote Monitoring Market by Country
    • 9.1.3.3 North America Video Analytics Market by Country
    • 9.1.3.4 North America Content Delivery Market by Country
    • 9.1.3.5 North America AR&VR Market by Country
    • 9.1.3.6 North America Others Market by Country
  • 9.1.4 North America AI Edge Computing Market by Vertical
    • 9.1.4.1 North America Manufacturing & Robotics Market by Country
    • 9.1.4.2 North America Healthcare Market by Country
    • 9.1.4.3 North America Automotive Market by Country
    • 9.1.4.4 North America Chemicals Market by Country
    • 9.1.4.5 North America Oil & Gas Market by Country
    • 9.1.4.6 North America Public Infrastructure Market by Country
    • 9.1.4.7 North America Transportation & Logistics Market by Country
    • 9.1.4.8 North America Others Market by Country
  • 9.1.5 North America AI Edge Computing Market by Country
    • 9.1.5.1 US AI Edge Computing Market
      • 9.1.5.1.1 US AI Edge Computing Market by Organization Size
      • 9.1.5.1.2 US AI Edge Computing Market by Component
      • 9.1.5.1.3 US AI Edge Computing Market by Application
      • 9.1.5.1.4 US AI Edge Computing Market by Vertical
    • 9.1.5.2 Canada AI Edge Computing Market
      • 9.1.5.2.1 Canada AI Edge Computing Market by Organization Size
      • 9.1.5.2.2 Canada AI Edge Computing Market by Component
      • 9.1.5.2.3 Canada AI Edge Computing Market by Application
      • 9.1.5.2.4 Canada AI Edge Computing Market by Vertical
    • 9.1.5.3 Mexico AI Edge Computing Market
      • 9.1.5.3.1 Mexico AI Edge Computing Market by Organization Size
      • 9.1.5.3.2 Mexico AI Edge Computing Market by Component
      • 9.1.5.3.3 Mexico AI Edge Computing Market by Application
      • 9.1.5.3.4 Mexico AI Edge Computing Market by Vertical
    • 9.1.5.4 Rest of North America AI Edge Computing Market
      • 9.1.5.4.1 Rest of North America AI Edge Computing Market by Organization Size
      • 9.1.5.4.2 Rest of North America AI Edge Computing Market by Component
      • 9.1.5.4.3 Rest of North America AI Edge Computing Market by Application
      • 9.1.5.4.4 Rest of North America AI Edge Computing Market by Vertical
• 9.2 Europe AI Edge Computing Market
  • 9.2.1 Europe AI Edge Computing Market by Organization Size
    • 9.2.1.1 Europe Large Enterprises Market by Country
    • 9.2.1.2 Europe Small & Medium Enterprises Market by Country
  • 9.2.2 Europe AI Edge Computing Market by Component
    • 9.2.2.1 Europe Hardware Market by Country
    • 9.2.2.2 Europe Software Market by Country
    • 9.2.2.3 Europe Services Market by Country
  • 9.2.3 Europe AI Edge Computing Market by Application
    • 9.2.3.1 Europe IIoT Market by Country
    • 9.2.3.2 Europe Remote Monitoring Market by Country
    • 9.2.3.3 Europe Video Analytics Market by Country
    • 9.2.3.4 Europe Content Delivery Market by Country
    • 9.2.3.5 Europe AR&VR Market by Country
    • 9.2.3.6 Europe Others Market by Country
  • 9.2.4 Europe AI Edge Computing Market by Vertical
    • 9.2.4.1 Europe Manufacturing & Robotics Market by Country
    • 9.2.4.2 Europe Healthcare Market by Country
    • 9.2.4.3 Europe Automotive Market by Country
    • 9.2.4.4 Europe Chemicals Market by Country
    • 9.2.4.5 Europe Oil & Gas Market by Country
    • 9.2.4.6 Europe Public Infrastructure Market by Country
    • 9.2.4.7 Europe Transportation & Logistics Market by Country
    • 9.2.4.8 Europe Others Market by Country
  • 9.2.5 Europe AI Edge Computing Market by Country
    • 9.2.5.1 Germany AI Edge Computing Market
      • 9.2.5.1.1 Germany AI Edge Computing Market by Organization Size
      • 9.2.5.1.2 Germany AI Edge Computing Market by Component
      • 9.2.5.1.3 Germany AI Edge Computing Market by Application
      • 9.2.5.1.4 Germany AI Edge Computing Market by Vertical
    • 9.2.5.2 UK AI Edge Computing Market
      • 9.2.5.2.1 UK AI Edge Computing Market by Organization Size
      • 9.2.5.2.2 UK AI Edge Computing Market by Component
      • 9.2.5.2.3 UK AI Edge Computing Market by Application
      • 9.2.5.2.4 UK AI Edge Computing Market by Vertical
    • 9.2.5.3 France AI Edge Computing Market
      • 9.2.5.3.1 France AI Edge Computing Market by Organization Size
      • 9.2.5.3.2 France AI Edge Computing Market by Component
      • 9.2.5.3.3 France AI Edge Computing Market by Application
      • 9.2.5.3.4 France AI Edge Computing Market by Vertical
    • 9.2.5.4 Russia AI Edge Computing Market
      • 9.2.5.4.1 Russia AI Edge Computing Market by Organization Size
      • 9.2.5.4.2 Russia AI Edge Computing Market by Component
      • 9.2.5.4.3 Russia AI Edge Computing Market by Application
      • 9.2.5.4.4 Russia AI Edge Computing Market by Vertical
    • 9.2.5.5 Spain AI Edge Computing Market
      • 9.2.5.5.1 Spain AI Edge Computing Market by Organization Size
      • 9.2.5.5.2 Spain AI Edge Computing Market by Component
      • 9.2.5.5.3 Spain AI Edge Computing Market by Application
      • 9.2.5.5.4 Spain AI Edge Computing Market by Vertical
    • 9.2.5.6 Italy AI Edge Computing Market
      • 9.2.5.6.1 Italy AI Edge Computing Market by Organization Size
      • 9.2.5.6.2 Italy AI Edge Computing Market by Component
      • 9.2.5.6.3 Italy AI Edge Computing Market by Application
      • 9.2.5.6.4 Italy AI Edge Computing Market by Vertical
    • 9.2.5.7 Rest of Europe AI Edge Computing Market
      • 9.2.5.7.1 Rest of Europe AI Edge Computing Market by Organization Size
      • 9.2.5.7.2 Rest of Europe AI Edge Computing Market by Component
      • 9.2.5.7.3 Rest of Europe AI Edge Computing Market by Application
      • 9.2.5.7.4 Rest of Europe AI Edge Computing Market by Vertical
• 9.3 Asia Pacific AI Edge Computing Market
  • 9.3.1 Asia Pacific AI Edge Computing Market by Organization Size
    • 9.3.1.1 Asia Pacific Large Enterprises Market by Country
    • 9.3.1.2 Asia Pacific Small & Medium Enterprises Market by Country
  • 9.3.2 Asia Pacific AI Edge Computing Market by Component
    • 9.3.2.1 Asia Pacific Hardware Market by Country
    • 9.3.2.2 Asia Pacific Software Market by Country
    • 9.3.2.3 Asia Pacific Services Market by Country
  • 9.3.3 Asia Pacific AI Edge Computing Market by Application
    • 9.3.3.1 Asia Pacific IIoT Market by Country
    • 9.3.3.2 Asia Pacific Remote Monitoring Market by Country
    • 9.3.3.3 Asia Pacific Video Analytics Market by Country
    • 9.3.3.4 Asia Pacific Content Delivery Market by Country
    • 9.3.3.5 Asia Pacific AR&VR Market by Country
    • 9.3.3.6 Asia Pacific Others Market by Country
  • 9.3.4 Asia Pacific AI Edge Computing Market by Vertical
    • 9.3.4.1 Asia Pacific Manufacturing & Robotics Market by Country
    • 9.3.4.2 Asia Pacific Healthcare Market by Country
    • 9.3.4.3 Asia Pacific Automotive Market by Country
    • 9.3.4.4 Asia Pacific Chemicals Market by Country
    • 9.3.4.5 Asia Pacific Oil & Gas Market by Country
    • 9.3.4.6 Asia Pacific Public Infrastructure Market by Country
    • 9.3.4.7 Asia Pacific Transportation & Logistics Market by Country
    • 9.3.4.8 Asia Pacific Others Market by Country
  • 9.3.5 Asia Pacific AI Edge Computing Market by Country
    • 9.3.5.1 China AI Edge Computing Market
      • 9.3.5.1.1 China AI Edge Computing Market by Organization Size
      • 9.3.5.1.2 China AI Edge Computing Market by Component
      • 9.3.5.1.3 China AI Edge Computing Market by Application
      • 9.3.5.1.4 China AI Edge Computing Market by Vertical
    • 9.3.5.2 Japan AI Edge Computing Market
      • 9.3.5.2.1 Japan AI Edge Computing Market by Organization Size
      • 9.3.5.2.2 Japan AI Edge Computing Market by Component
      • 9.3.5.2.3 Japan AI Edge Computing Market by Application
      • 9.3.5.2.4 Japan AI Edge Computing Market by Vertical
    • 9.3.5.3 India AI Edge Computing Market
      • 9.3.5.3.1 India AI Edge Computing Market by Organization Size
      • 9.3.5.3.2 India AI Edge Computing Market by Component
      • 9.3.5.3.3 India AI Edge Computing Market by Application
      • 9.3.5.3.4 India AI Edge Computing Market by Vertical
    • 9.3.5.4 South Korea AI Edge Computing Market
      • 9.3.5.4.1 South Korea AI Edge Computing Market by Organization Size
      • 9.3.5.4.2 South Korea AI Edge Computing Market by Component
      • 9.3.5.4.3 South Korea AI Edge Computing Market by Application
      • 9.3.5.4.4 South Korea AI Edge Computing Market by Vertical
    • 9.3.5.5 Singapore AI Edge Computing Market
      • 9.3.5.5.1 Singapore AI Edge Computing Market by Organization Size
      • 9.3.5.5.2 Singapore AI Edge Computing Market by Component
      • 9.3.5.5.3 Singapore AI Edge Computing Market by Application
      • 9.3.5.5.4 Singapore AI Edge Computing Market by Vertical
    • 9.3.5.6 Malaysia AI Edge Computing Market
      • 9.3.5.6.1 Malaysia AI Edge Computing Market by Organization Size
      • 9.3.5.6.2 Malaysia AI Edge Computing Market by Component
      • 9.3.5.6.3 Malaysia AI Edge Computing Market by Application
      • 9.3.5.6.4 Malaysia AI Edge Computing Market by Vertical
    • 9.3.5.7 Rest of Asia Pacific AI Edge Computing Market
      • 9.3.5.7.1 Rest of Asia Pacific AI Edge Computing Market by Organization Size
      • 9.3.5.7.2 Rest of Asia Pacific AI Edge Computing Market by Component
      • 9.3.5.7.3 Rest of Asia Pacific AI Edge Computing Market by Application
      • 9.3.5.7.4 Rest of Asia Pacific AI Edge Computing Market by Vertical
• 9.4 LAMEA AI Edge Computing Market
  • 9.4.1 LAMEA AI Edge Computing Market by Organization Size
    • 9.4.1.1 LAMEA Large Enterprises Market by Country
    • 9.4.1.2 LAMEA Small & Medium Enterprises Market by Country
  • 9.4.2 LAMEA AI Edge Computing Market by Component
    • 9.4.2.1 LAMEA Hardware Market by Country
    • 9.4.2.2 LAMEA Software Market by Country
    • 9.4.2.3 LAMEA Services Market by Country
  • 9.4.3 LAMEA AI Edge Computing Market by Application
    • 9.4.3.1 LAMEA IIoT Market by Country
    • 9.4.3.2 LAMEA Remote Monitoring Market by Country
    • 9.4.3.3 LAMEA Video Analytics Market by Country
    • 9.4.3.4 LAMEA Content Delivery Market by Country
    • 9.4.3.5 LAMEA AR&VR Market by Country
    • 9.4.3.6 LAMEA Others Market by Country
  • 9.4.4 LAMEA AI Edge Computing Market by Vertical
    • 9.4.4.1 LAMEA Manufacturing & Robotics Market by Country
    • 9.4.4.2 LAMEA Healthcare Market by Country
    • 9.4.4.3 LAMEA Automotive Market by Country
    • 9.4.4.4 LAMEA Chemicals Market by Country
    • 9.4.4.5 LAMEA Oil & Gas Market by Country
    • 9.4.4.6 LAMEA Public Infrastructure Market by Country
    • 9.4.4.7 LAMEA Transportation & Logistics Market by Country
    • 9.4.4.8 LAMEA Others Market by Country
  • 9.4.5 LAMEA AI Edge Computing Market by Country
    • 9.4.5.1 Brazil AI Edge Computing Market
      • 9.4.5.1.1 Brazil AI Edge Computing Market by Organization Size
      • 9.4.5.1.2 Brazil AI Edge Computing Market by Component
      • 9.4.5.1.3 Brazil AI Edge Computing Market by Application
      • 9.4.5.1.4 Brazil AI Edge Computing Market by Vertical
    • 9.4.5.2 Argentina AI Edge Computing Market
      • 9.4.5.2.1 Argentina AI Edge Computing Market by Organization Size
      • 9.4.5.2.2 Argentina AI Edge Computing Market by Component
      • 9.4.5.2.3 Argentina AI Edge Computing Market by Application
      • 9.4.5.2.4 Argentina AI Edge Computing Market by Vertical
    • 9.4.5.3 UAE AI Edge Computing Market
      • 9.4.5.3.1 UAE AI Edge Computing Market by Organization Size
      • 9.4.5.3.2 UAE AI Edge Computing Market by Component
      • 9.4.5.3.3 UAE AI Edge Computing Market by Application
      • 9.4.5.3.4 UAE AI Edge Computing Market by Vertical
    • 9.4.5.4 Saudi Arabia AI Edge Computing Market
      • 9.4.5.4.1 Saudi Arabia AI Edge Computing Market by Organization Size
      • 9.4.5.4.2 Saudi Arabia AI Edge Computing Market by Component
      • 9.4.5.4.3 Saudi Arabia AI Edge Computing Market by Application
      • 9.4.5.4.4 Saudi Arabia AI Edge Computing Market by Vertical
    • 9.4.5.5 South Africa AI Edge Computing Market
      • 9.4.5.5.1 South Africa AI Edge Computing Market by Organization Size
      • 9.4.5.5.2 South Africa AI Edge Computing Market by Component
      • 9.4.5.5.3 South Africa AI Edge Computing Market by Application
      • 9.4.5.5.4 South Africa AI Edge Computing Market by Vertical
    • 9.4.5.6 Nigeria AI Edge Computing Market
      • 9.4.5.6.1 Nigeria AI Edge Computing Market by Organization Size
      • 9.4.5.6.2 Nigeria AI Edge Computing Market by Component
      • 9.4.5.6.3 Nigeria AI Edge Computing Market by Application
      • 9.4.5.6.4 Nigeria AI Edge Computing Market by Vertical
    • 9.4.5.7 Rest of LAMEA AI Edge Computing Market
      • 9.4.5.7.1 Rest of LAMEA AI Edge Computing Market by Organization Size
      • 9.4.5.7.2 Rest of LAMEA AI Edge Computing Market by Component
      • 9.4.5.7.3 Rest of LAMEA AI Edge Computing Market by Application
      • 9.4.5.7.4 Rest of LAMEA AI Edge Computing Market by Vertical

Chapter 10. Company Profiles

• 10.1 Comsovereign Holding Corp.
  • 10.1.1 Company Overview
  • 10.1.2 Financial Analysis
• 10.2 Vapor IO, Inc.
  • 10.2.1 Company Overview
  • 10.2.2 Recent strategies and developments:
    • 10.2.2.1 Partnerships, Collaborations, and Agreements:
• 10.3 Rigado Inc.
  • 10.3.1 Company Overview
• 10.4 ClearBlade Inc.
  • 10.4.1 Company Overview
  • 10.4.2 Recent strategies and developments:
    • 10.4.2.1 Partnerships, Collaborations, and Agreements:
• 10.5 Hewlett Packard Enterprise Company
  • 10.5.1 Company Overview
  • 10.5.2 Financial Analysis
  • 10.5.3 Segmental and Regional Analysis
  • 10.5.4 Research & Development Expense
  • 10.5.5 Recent strategies and developments:
    • 10.5.5.1 Partnerships, Collaborations, and Agreements:
    • 10.5.5.2 Acquisition and Mergers:
  • 10.5.6 SWOT Analysis
• 10.6 Nokia Corporation
  • 10.6.1 Company Overview
  • 10.6.2 Financial Analysis
  • 10.6.3 Segmental and Regional Analysis
  • 10.6.4 Research & Development Expense
  • 10.6.5 Recent strategies and developments:
    • 10.6.5.1 Partnerships, Collaborations, and Agreements:
  • 10.6.6 SWOT Analysis
• 10.7 Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
  • 10.7.1 Company Overview
  • 10.7.2 Financial Analysis
  • 10.7.3 Segmental and Regional Analysis
  • 10.7.4 Research & Development Expenses
  • 10.7.5 SWOT Analysis
• 10.8 Johnson Controls International PLC
  • 10.8.1 Company Overview
  • 10.8.2 Financial Analysis
  • 10.8.3 Segmental & Regional Analysis
  • 10.8.4 Research & Development Expenses
  • 10.8.5 Recent strategies and developments:
    • 10.8.5.1 Acquisition and Mergers:
    • 10.8.5.2 Geographical Expansions:
  • 10.8.6 SWOT Analysis
• 10.9 IBM Corporation
  • 10.9.1 Company Overview
  • 10.9.2 Financial Analysis
  • 10.9.3 Regional & Segmental Analysis
  • 10.9.4 Research & Development Expenses
  • 10.9.5 Recent strategies and developments:
    • 10.9.5.1 Partnerships, Collaborations, and Agreements:
    • 10.9.5.2 Product Launches and Product Expansions:
  • 10.9.6 SWOT Analysis
• 10.10. Cisco Systems, Inc.
  • 10.10.1 Company Overview
  • 10.10.2 Financial Analysis
  • 10.10.3 Regional Analysis
  • 10.10.4 Research & Development Expense
  • 10.10.5 Recent strategies and developments:
    • 10.10.5.1 Partnerships, Collaborations, and Agreements:
  • 10.10.6 SWOT Analysis
• 10.11 Amazon Web Services, Inc. (Amazon.com, Inc.)
  • 10.11.1 Company Overview
  • 10.11.2 Financial Analysis
  • 10.11.3 Segmental Analysis
  • 10.11.4 Recent strategies and developments:
    • 10.11.4.1 Partnerships, Collaborations, and Agreements:
  • 10.11.5 SWOT Analysis
• 10.12 Microsoft Corporation
  • 10.12.1 Company Overview
  • 10.12.2 Financial Analysis
  • 10.12.3 Segmental and Regional Analysis
  • 10.12.4 Research & Development Expenses
  • 10.12.5 Recent strategies and developments:
    • 10.12.5.1 Partnerships, Collaborations, and Agreements:
  • 10.12.6 SWOT Analysis
• 10.13 Oracle Corporation
  • 10.13.1 Company Overview
  • 10.13.2 Financial Analysis
  • 10.13.3 Segmental and Regional Analysis
  • 10.13.4 Research & Development Expense
  • 10.13.5 Recent strategies and developments:
    • 10.13.5.1 Partnerships, Collaborations, and Agreements:
  • 10.13.6 SWOT Analysis

Chapter 11. Winning Imperatives for AI Edge Computing Market