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2022
Ai Edge Computing Market

AI Edge Computing Market by Component, (Hardware, Software, and Services), Organization Size, (Large Enterprises and Small & Medium Sized Enterprises), and Application (IIoT, Remote Monitoring, Content Delivery, Video Analytics, AR&VR, and Others), Industry Vertical (Automotive, Healthcare, Chemicals, Oil & Gas, Manufacturing and Robotics, Public Infrastructure, Transportation & Logistics, and Others), and Region: Global Opportunity Analysis and Industry Forecast, 2021–2030

A14885
Pages: 329
Dec 2021 | 493 Views
   
Author(s) : Vikas Gaikwad and Rachita Rake
Tables: 153
Charts: 80
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COVID-19

Pandemic disrupted the entire world and affected many industries.

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AI Edge Computing Market Statistics: 2030

The AI edge computing market size was valued at $9,096.0 million in 2020, and is projected to reach $ 59,633.0 million by 2030, registering a CAGR of 21.2%. Ability of the AI edge to overcome cloud computing challenges, rise in demand for real-time operations, and proliferation of edge AI-enabled devices primarily drive the growth of the global AI edge computing market.

Although the COVID-19 does not have significant negative impact on the growth of the market, the outbreak of COVID-19 will surely provide numerous opportunities for the market to grow in the forecasted period. These opportunities includes a surge in demand for AI edge computing in enterprises due to remote work initiatives, increase in healthcare applications, and introduction of innovative AI edge computing solutions.

On the basis of component, the hardware segment dominated the AI edge computing market in 2020, and is expected to maintain its dominance in the upcoming years. This is due to rise in applications of AI edge computing hardware or physical components such as processors, servers, switches, and routers. In addition, proliferation of smart phones, cameras, robots, and others drives the growth of the hardware segment. However, the services segment is expected to witness highest growth rate during the forecast period. 

AI-Edge-Computing-Market

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By organization size, the large enterprises segment dominated the growth in the AI edge computing industry in 2020, and is expected to maintain its dominance in the upcoming years. This is due to significant growth in deployment of edge computing use cases in large enterprises to support IoT or immersive experiences. 

There is proliferation of AI edge computing in large enterprises across the industries such as automotive, health care, and manufacturing. However, the small and medium enterprises segment is expected to experience the highest growth rate during the forecast period.

North America dominates the AI edge computing market. Growth of the market in this region is attributed to several factors such as rise in need for faster processing devices coupled with the huge government funding on innovative technologies, increased number of IoT devices, and a strong technical base. However, Asia-Pacific is expected to witness highest growth rate during the forecast period owing to the proliferation of connected systems fueled by ongoing trend of smart offices and homes in the region along with the government-driven infrastructural projects. 

The report focuses on the growth prospects, restraints, and global AI edge computing market share. The study provides Porter’s five forces analysis of the global AI edge computing market forecast to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, the threat of new entrants, threat of substitutes, and bargaining power of buyers on the global AI edge computing market trends.

Segment Review

The AI edge computing market is segmented on the basis of component, organization size, application, industry vertical, and region. On the basis of component, the market is segmented into hardware, software, and services. According to the organization size, the market is fragmented into large enterprises and small & medium sized enterprises. In terms of application, the market is divided into IIoT, remote monitoring, content delivery, video analytics, AR&VR, and others. Depending on industry vertical, it is segregated into automotive, healthcare, chemicals, oil & gas, manufacturing and robotics, public infrastructure, transportation & logistics, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

AI Edge Computing Market
By Component

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Services segment is projected as one of the most lucrative segments.

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COVID-19 Impact Analysis

The AI edge computing market was valued at $9,096.00 million in 2020, and is projected to reach $59,633.0 million by 2030, registering a CAGR of 21.2%. The current estimation of 2027 is projected to be higher than pre-COVID-19 estimates. During the COVID-19 pandemic, edge computing and edge data centers are playing a vital role in conveying stored content and cloud computing resources across the globe. In addition, edge computing is ending up to be a life-saving technology for the medical care industry due to different IoT medical applications.

The advantages of edge computing have become more obvious during the COVID-19 pandemic. The overall lockdown has constrained organizations to move toward digitalization for the arrangement of work from home officers to their employee. The effect of the COVID-19 pandemic is altogether driving the interest for edge computing as the main technology companies are integrating automation and intelligence into their organizations.

AI Edge Computing Market
By Organization Size

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Small and medium enterprises segment is projected as one of the most lucrative segments.

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Top impacting factors    

The global AI edge computing industry is influenced by several factors such as ability of the AI edge to overcome cloud computing challenges, rise in demand for real-time operations, and proliferation of edge AI-enabled devices. In addition, a number of lucrative benefits offered by AI edge computing such as faster computing and insights and better data security fuel the growth of this market. However, need for high investment and shortage of skilled IT professionals are projected to hamper growth of the market. On the other hand, advent of the 5G Network connectivity and emerging applications of AI edge computing are estimated to be opportunistic for the AI Edge computing market growth.

Proliferation of edge AI-enabled devices 

There is proliferation of edge AI-enabled devices such as smart phones, smart speakers, laptops, self-driven cars, drones, robots, and surveillance cameras that use video analytics. For instance, the developed countries have about 90% of mobile phone penetration while according to the GSMA report, by 2025, smartphone penetration is projected to reach 80% globally. The countries contributing to this significant increase includes, Indonesia, India, and Pakistan. Edge AI eradicates the need for sending huge amounts of data across network of such smart devices; thus, improving the user experience. Hence, proliferation of edge AI-enabled devices projected to drive the AI edge computing market growth.

AI Edge Computing Market
By Application

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IIoT segment is projected as one of the most significant segments.

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Emerging applications of AI edge computing 

AI edge computing has enabled to power mission-critical, scalable, and private AI applications. For instance, recently, Intel, an American multinational corporation and technology company developed Visual Processing Units, the special co-processors to power high-performance computer vision applications to edge devices.

In addition, AI Healthcare applications including remote diagnostics and surgery, along with the monitoring of patient vital signs is mainly based on edge devices that perform AI at the edge. On the other hand, emerging applications such as smart factories, intelligent transportation systems, and smart energy coupled with entertainment applications such as virtual reality, augmented reality, and mixed reality are projected to create lucrative growth opportunities for the global AI edge computing market. 

AI Edge Computing Market
By Region

2030
North America 
Europe
Asia-pacific
Lamea

Asia-Pacific is projected as one of the most lucrative region.

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Key Benefits For Stakeholders

  • This study includes the Global AI edge computing market analysis, trends, and future estimations to determine the imminent investment pockets.
  • The report presents information related to key drivers, restraints, and Global AI edge computing market opportunity.
  • The Global AI edge computing market size is quantitatively analyzed from 2020 to 2030 to highlight the financial competency of the industry.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in Global AI edge computing industry.

Key Market Segments

  • BY COMPONENT
    • Hardware
    • Software
    • services
  • BY ORGANIZATION SIZE
    • Large enterprises
    • Small & medium sized enterprises
  • BY APPLICATION
    • IIoT
    • Remote Monitoring
    • Content Delivery
    • Video Analytics
    • AR&VR
    • Others
  • BY INDUSTRY VERTICAL
    • Automotive
    • Healthcare
    • Chemicals
    • Oil & Gas
    • Manufacturing and robotics
    • Public Infrastructure
    • Transportation & Logistics
    • Others
  • BY REGION
    • North America
      • U.S.
      • Canada
    • Europe
      • UK
      • France
      • Germany
      • Russia
      • Rest of Europe
    • Asia-Pacific
      • China
      • India
      • Japan
      • South Korea
      • Rest of Asia-Pacific
    • LAMEA
      • Latin America
      • Middle East
      • Africa
  • KEY MARKET PLAYERS
    • CISCO SYSTEMS, INC.
    • International Business Machine Corporation
    • CLEARBLADE, INC.
    • FOGHORN SYSTEMS
    • HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
    • HUAWEI TECHNOLOGIES CO. LTD
    • NOKIA
    • RIGADO LLC
    • SAGUNA NETWORKS LTD.
    • VAPOR IO
 

CHAPTER 1:INTRODUCTION

1.1.REPORT DESCRIPTION
1.2.KEY BENEFITS FOR STAKEHOLDERS
1.3.KEY MARKET SEGMENTS

1.3.1.Key market players

1.4.RESEARCH METHODOLOGY

1.4.1.Primary research
1.4.2.Secondary research
1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

2.1.CXO PERSPECTIVE

CHAPTER 3:MARKET OVERVIEW

3.1.MARKET DEFINITION AND SCOPE
3.2.KEY FINDINGS

3.2.1.Top impacting factors
3.2.2.Top investment pockets

3.3.PORTER’S FIVE FORCES ANALYSIS
3.4.CASE STUDIES

3.4.1.Case Study 01
3.4.2.Case Study 02

3.5.PATENT ANALYSIS

3.5.1.By Region (2000-2020)
3.5.2.By Applicant

3.6.MARKET DYNAMICS

3.6.1.Drivers

3.6.1.1.Ability of the AI edge to overcome cloud computing challenges
3.6.1.2.Rise in demand for real-time operations
3.6.1.3.Proliferation of edge AI-enabled devices
3.6.1.4.A number of lucrative benefits offered by AI edge computing

3.6.2.Restraint

3.6.2.1.High investment and shortage of skilled IT professionals

3.6.3.Opportunities

3.6.3.1.Advent of the 5G Network connectivity
3.6.3.2.Emerging applications of AI edge computing

3.7.COVID-19 IMPACT ANALYSIS

3.7.1.Impact on market size
3.7.2.Consumer trends, preferences, and budget impact
3.7.3.Economic impact
3.7.4.Key player strategies to tackle negative impact
3.7.5.Opportunity window

3.8.EXTERNAL ENVIRONMENT FOR AI EDGE COMPUTING

3.8.1.Impact of 5G rollout
3.8.2.Regulatory implications
3.8.3.Advantages and risk of AI Edge
3.8.4.Other parameters

3.9.SHIFT TOWARD AI EDGE COMPUTING

CHAPTER 4:GLOBAL AI EDGE COMPUTING MARKET, BY COMPONENT

4.1.OVERVIEW
4.2.HARDWARE

4.2.1.Key market trends, growth factors, and opportunities
4.2.2.Market size and forecast, by region
4.2.3.Market analysis, by country

4.3.SOFTWARE

4.3.1.Key market trends, growth factors, and opportunities
4.3.2.Market size and forecast, by region
4.3.3.Market analysis, by country

4.4.SERVICES

4.4.1.Key market trends, growth factors, and opportunities
4.4.2.Market size and forecast, by region
4.4.3.Market analysis, by country

CHAPTER 5:GLOBAL AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE

5.1.OVERVIEW
5.2.LARGE ENTERPRISES

5.2.1.Key market trends, growth factors, and opportunities
5.2.2.Market size and forecast, by region
5.2.3.Market analysis, by country

5.3.SMALL AND MEDIUM ENTERPRISES

5.3.1.Key market trends, growth factors, and opportunities
5.3.2.Market size and forecast, by region
5.3.3.Market analysis, by country

CHAPTER 6:GLOBAL AI EDGE COMPUTING MARKET, BY APPLICATION

6.1.OVERVIEW
6.2.IIOT

6.2.1.Key market trends, growth factors, and opportunities
6.2.2.Market size and forecast, by region
6.2.3.Market analysis, by country

6.3.REMOTE MONITORING

6.3.1.Key market trends, growth factors, and opportunities
6.3.2.Market size and forecast, by region
6.3.3.Market analysis, by country

6.4.CONTENT DELIVERY

6.4.1.Key market trends, growth factors, and opportunities
6.4.2.Market size and forecast, by region
6.4.3.Market analysis, by country

6.5.VIDEO ANALYTICS

6.5.1.Key market trends, growth factors, and opportunities
6.5.2.Market size and forecast, by region
6.5.3.Market analysis, by country

6.6.AR & VR

6.6.1.Key market trends, growth factors, and opportunities
6.6.2.Market size and forecast, by region
6.6.3.Market analysis, by country

6.7.OTHERS

6.7.1.Key market trends, growth factors, and opportunities
6.7.2.Market size and forecast, by region
6.7.3.Market analysis, by country

CHAPTER 7:GLOBAL AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL

7.1.OVERVIEW
7.2.AUTOMOTIVE

7.2.1.Key market trends, growth factors, and opportunities
7.2.2.Market size and forecast, by region
7.2.3.Market analysis, by country

7.3.HEALTHCARE

7.3.1.Key market trends, growth factors, and opportunities
7.3.2.Market size and forecast, by region
7.3.3.Market analysis, by country

7.4.CHEMICALS

7.4.1.Key market trends, growth factors, and opportunities
7.4.2.Market size and forecast, by region
7.4.3.Market analysis, by country

7.5.OIL & GAS

7.5.1.Key market trends, growth factors, and opportunities
7.5.2.Market size and forecast, by region
7.5.3.Market analysis, by country

7.6.MANUFACTURING AND ROBOTICS

7.6.1.Key market trends, growth factors, and opportunities
7.6.2.Market size and forecast, by region
7.6.3.Market analysis, by country

7.7.PUBLIC INFRASTRUCTURE

7.7.1.Key market trends, growth factors, and opportunities
7.7.2.Market size and forecast, by region
7.7.3.Market analysis, by country

7.8.TRANSPORTATION & LOGISTICS

7.8.1.Key market trends, growth factors, and opportunities
7.8.2.Market size and forecast, by region
7.8.3.Market analysis, by country

7.9.OTHERS

7.9.1.Key market trends, growth factors, and opportunities
7.9.2.Market size and forecast, by region
7.9.3.Market analysis, by country

CHAPTER 8:AI EDGE COMPUTING MARKET, BY REGION

8.1.OVERVIEW
8.2.NORTH AMERICA

8.2.1.Key market trends, growth factors, and opportunities
8.2.2.Market size and forecast, by Component
8.2.3.Market size and forecast, by organization size
8.2.4.Market size and forecast, by application
8.2.5.Market size and forecast, by industry vertical
8.2.6.Market analysis by country

8.2.6.1.U.S.

8.2.6.1.1.Market size and forecast, by component
8.2.6.1.2.Market size and forecast, by organization size
8.2.6.1.3.Market size and forecast, by application
8.2.6.1.4.Market size and forecast, by industry vertical

8.2.6.2.Canada

8.2.6.2.1.Market size and forecast, by component
8.2.6.2.2.Market size and forecast, by organization size
8.2.6.2.3.Market size and forecast, by application
8.2.6.2.4.Market size and forecast, by industry vertical

8.3.EUROPE

8.3.1.Key market trends, growth factors, and opportunities
8.3.2.Market size and forecast, by Component
8.3.3.Market size and forecast, by organization size
8.3.4.Market size and forecast, by application
8.3.5.Market size and forecast, by industry vertical
8.3.6.Market analysis by country

8.3.6.1.UK

8.3.6.1.1.Market size and forecast, by component
8.3.6.1.2.Market size and forecast, by organization size
8.3.6.1.3.Market size and forecast, by application
8.3.6.1.4.Market size and forecast, by industry vertical

8.3.6.2.Germany

8.3.6.2.1.Market size and forecast, by component
8.3.6.2.2.Market size and forecast, by organization size
8.3.6.2.3.Market size and forecast, by application
8.3.6.2.4.Market size and forecast, by industry vertical

8.3.6.3.France

8.3.6.3.1.Market size and forecast, by component
8.3.6.3.2.Market size and forecast, by organization size
8.3.6.3.3.Market size and forecast, by application
8.3.6.3.4.Market size and forecast, by industry vertical

8.3.6.4.Italy

8.3.6.4.1.Market size and forecast, by component
8.3.6.4.2.Market size and forecast, by organization size
8.3.6.4.3.Market size and forecast, by application
8.3.6.4.4.Market size and forecast, by industry vertical

8.3.6.5.Spain

8.3.6.5.1.Market size and forecast, by component
8.3.6.5.2.Market size and forecast, by organization size
8.3.6.5.3.Market size and forecast, by application
8.3.6.5.4.Market size and forecast, by industry vertical

8.3.6.6.Rest of Europe

8.3.6.6.1.Market size and forecast, by component
8.3.6.6.2.Market size and forecast, by organization size
8.3.6.6.3.Market size and forecast, by application
8.3.6.6.4.Market size and forecast, by industry vertical

8.4.ASIA-PACIFIC

8.4.1.Key market trends, growth factors, and opportunities
8.4.2.Market size and forecast, by Component
8.4.3.Market size and forecast, by organization size
8.4.4.Market size and forecast, by application
8.4.5.Market size and forecast, by industry vertical
8.4.6.Market analysis by country

8.4.6.1.China

8.4.6.1.1.Market size and forecast, by component
8.4.6.1.2.Market size and forecast, by organization size
8.4.6.1.3.Market size and forecast, by application
8.4.6.1.4.Market size and forecast, by industry vertical

8.4.6.2.Japan

8.4.6.2.1.Market size and forecast, by component
8.4.6.2.2.Market size and forecast, by organization size
8.4.6.2.3.Market size and forecast, by application
8.4.6.2.4.Market size and forecast, by industry vertical

8.4.6.3.India

8.4.6.3.1.Market size and forecast, by component
8.4.6.3.2.Market size and forecast, by organization size
8.4.6.3.3.Market size and forecast, by application
8.4.6.3.4.Market size and forecast, by industry vertical

8.4.6.4.Taiwan

8.4.6.4.1.Market size and forecast, by component
8.4.6.4.2.Market size and forecast, by organization size
8.4.6.4.3.Market size and forecast, by application
8.4.6.4.4.Market size and forecast, by industry vertical

8.4.6.5.Australia

8.4.6.5.1.Market size and forecast, by component
8.4.6.5.2.Market size and forecast, by organization size
8.4.6.5.3.Market size and forecast, by application
8.4.6.5.4.Market size and forecast, by industry vertical

8.4.6.6.South Korea

8.4.6.6.1.Market size and forecast, by component
8.4.6.6.2.Market size and forecast, by organization size
8.4.6.6.3.Market size and forecast, by application
8.4.6.6.4.Market size and forecast, by industry vertical

8.4.6.7.Singapore

8.4.6.7.1.Market size and forecast, by component
8.4.6.7.2.Market size and forecast, by organization size
8.4.6.7.3.Market size and forecast, by application
8.4.6.7.4.Market size and forecast, by industry vertical

8.4.6.8.Rest of Asia-Pacific

8.4.6.8.1.Market size and forecast, by component
8.4.6.8.2.Market size and forecast, by organization size
8.4.6.8.3.Market size and forecast, by application
8.4.6.8.4.Market size and forecast, by industry vertical

8.5.LAMEA

8.5.1.Key market trends, growth factors, and opportunities
8.5.2.Market size and forecast, by Component
8.5.3.Market size and forecast, by organization size
8.5.4.Market size and forecast, by application
8.5.5.Market size and forecast, by industry vertical
8.5.6.Market analysis by country

8.5.6.1.Latin America

8.5.6.1.1.Market size and forecast, by component
8.5.6.1.2.Market size and forecast, by organization size
8.5.6.1.3.Market size and forecast, by application
8.5.6.1.4.Market size and forecast, by industry vertical

8.5.6.2.Middle East

8.5.6.2.1.Market size and forecast, by component
8.5.6.2.2.Market size and forecast, by organization size
8.5.6.2.3.Market size and forecast, by application
8.5.6.2.4.Market size and forecast, by industry vertical

8.5.6.3.Africa

8.5.6.3.1.Market size and forecast, by component
8.5.6.3.2.Market size and forecast, by organization size
8.5.6.3.3.Market size and forecast, by application
8.5.6.3.4.Market size and forecast, by industry vertical

CHAPTER 9:COMPETITIVE LANDSCAPE

9.1.INTRODUCTION

9.1.1.Market player positioning, 2020

9.2.TOP WINNING STRATEGIES
9.3.COMPETITIVE DASHBOARD
9.4.COMPETITIVE HEATMAP

CHAPTER 10:COMPANY PROFILE

10.1.CISCO SYSTEMS, INC.

10.1.1.Company overview
10.1.2.Key executives
10.1.3.Company snapshot
10.1.4.Product portfolio
10.1.5.R&D expenditure
10.1.6.Business performance
10.1.7.Key strategic moves and developments

10.2.INTERNATIONAL BUSINESS MACHINE CORPORATION

10.2.1.Company overview
10.2.2.Key executives
10.2.3.Company snapshot
10.2.4.Product portfolio
10.2.5.R&D expenditure
10.2.6.Business performance
10.2.7.Key strategic moves and developments

10.3.CLEARBLADE, INC.

10.3.1.Company overview
10.3.2.Key executives
10.3.3.Company snapshot
10.3.4.Product portfolio
10.3.5.Key strategic moves and developments

10.4.FOGHORN SYSTEMS

10.4.1.Company overview
10.4.2.Key executives
10.4.3.Company snapshot
10.4.4.Product portfolio
10.4.5.Key strategic moves and developments

10.5.HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

10.5.1.Company overview
10.5.2.Key executives
10.5.3.Company snapshot
10.5.4.Product portfolio
10.5.5.R&D expenditure
10.5.6.Business performance
10.5.7.Key strategic moves and developments

10.6.HUAWEI TECHNOLOGIES CO. LTD

10.6.1.Company overview
10.6.2.Key executives
10.6.3.Company snapshot
10.6.4.Product portfolio
10.6.5.R&D expenditure
10.6.6.Business performance
10.6.7.Key strategic moves and developments

10.7.NOKIA

10.7.1.Company overview
10.7.2.Key executives
10.7.3.Company snapshot
10.7.4.Product portfolio
10.7.5.R&D expenditure
10.7.6.Business performance
10.7.7.Key strategic moves and developments

10.8.RIGADO LLC

10.8.1.Company overview
10.8.2.Key executives
10.8.3.Company snapshot
10.8.4.Product portfolio
10.8.5.Key strategic moves and developments

10.9.SAGUNA NETWORKS LTD.

10.9.1.Company overview
10.9.2.Key executives
10.9.3.Company snapshot
10.9.4.Product portfolio
10.9.5.Key strategic moves and developments

10.10.VAPOR IO

10.10.1.Company overview
10.10.2.Key executives
10.10.3.Company snapshot
10.10.4.Product portfolio
10.10.5.Key strategic moves and developments

LIST OF TABLES

TABLE 01.GLOBAL AI EDGE COMPUTING MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 02.AI EDGE COMPUTING MARKET FOR HARDWARE, BY REGION, 2020-2030 ($MILLION)
TABLE 03.AI EDGE COMPUTING MARKET FOR SOFTWARE, BY REGION, 2020-2030 ($MILLION)
TABLE 04.AI EDGE COMPUTING MARKET FOR SERVICES, BY REGION, 2020-2030 ($MILLION)
TABLE 05.GLOBAL AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020-2030 ($MILLION)
TABLE 06.AI EDGE COMPUTING MARKET FOR LARGE ENTERPRISES, BY REGION, 2020-2030 ($MILLION)
TABLE 07.AI EDGE COMPUTING MARKET FOR SMALL AND MEDIUM ENTERPRISES, BY REGION, 2020-2030 ($MILLION)
TABLE 08.GLOBAL AI EDGE COMPUTING MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 09.AI EDGE COMPUTING MARKET FOR IIOT, BY REGION, 2020-2030 ($MILLION)
TABLE 10.AI EDGE COMPUTING MARKET FOR REMOTE MONITORING, BY REGION, 2020-2030 ($MILLION)
TABLE 11.AI EDGE COMPUTING MARKET FOR CONTENT DELIVERY, BY REGION, 2020-2030 ($MILLION)
TABLE 12.AI EDGE COMPUTING MARKET FOR VIDEO ANALYTICS, BY REGION, 2020-2030 ($MILLION)
TABLE 13.AI EDGE COMPUTING MARKET FOR AR & VR, BY REGION, 2020-2030 ($MILLION)
TABLE 14.AI EDGE COMPUTING MARKET FOR OTHERS, BY REGION, 2020-2030 ($MILLION)
TABLE 15.GLOBAL AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 16.AI EDGE COMPUTING MARKET FOR AUTOMOTIVE, BY REGION, 2020-2030 ($MILLION)
TABLE 17.AI EDGE COMPUTING MARKET FOR HEALTHCARE, BY REGION, 2020-2030 ($MILLION)
TABLE 18.AI EDGE COMPUTING MARKET FOR CHEMICALS, BY REGION, 2020-2030 ($MILLION)
TABLE 19.AI EDGE COMPUTING MARKET FOR OIL & GAS, BY REGION, 2020-2030 ($MILLION)
TABLE 20.AI EDGE COMPUTING MARKET FOR MANUFACTURING AND ROBOTICS, BY REGION, 2020-2030 ($MILLION)
TABLE 21.AI EDGE COMPUTING MARKET FOR PUBLIC INFRASTRUCTURE, BY REGION, 2020-2030 ($MILLION)
TABLE 22.AI EDGE COMPUTING MARKET FOR TRANSPORTATION & LOGISTICS, BY REGION, 2020-2030 ($MILLION)
TABLE 23.AI EDGE COMPUTING MARKET FOR OTHERS, BY REGION, 2020-2030 ($MILLION)
TABLE 24.AI EDGE COMPUTING MARKET REVENUE, BY REGION, 2020–2030 ($MILLION)
TABLE 25.NORTH AMERICA AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 26.NORTH AMERICA AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 27.NORTH AMERICA AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 28.NORTH AMERICA AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 29.NORTH AMERICA AI EDGE COMPUTING MARKET, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 30.U.S. AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 31.U.S. AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 32.U.S. AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 33.U.S. AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 34.CANADA AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 35.CANADA AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 36.CANADA AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 37.CANADA AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 38.EUROPE AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 39.EUROPE AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 40.EUROPE AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 41.EUROPE AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 42.EUROPE AI EDGE COMPUTING MARKET, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 43.UK AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 44.UK AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 45.UK AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 46.UK AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 47.GERMANY AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 48.GERMANY AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 49.GERMANY AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 50.GERMANY AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 51.FRANCE AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 52.FRANCE AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 53.FRANCE AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 54.FRANCE AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 55.ITALY AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 56.ITALY AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 57.ITALY AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 58.ITALY AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 59.SPAIN AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 60.SPAIN AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 61.SPAIN AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 62.SPAIN AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 63.REST OF EUROPE AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 64.REST OF EUROPE AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 65.REST OF EUROPE AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 66.REST OF EUROPE AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 67.ASIA-PACIFIC AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 68.ASIA-PACIFIC AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 69.ASIA-PACIFIC AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 70.ASIA-PACIFIC AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 71.ASIA-PACIFIC AI EDGE COMPUTING MARKET, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 72.CHINA AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 73.CHINA AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 74.CHINA AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 75.CHINA AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 76.JAPAN AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 77.JAPAN AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 78.JAPAN AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 79.JAPAN AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 80.INDIA AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 81.INDIA AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 82.INDIA AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 83.INDIA AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 84.TAIWAN AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 85.TAIWAN AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 86.TAIWAN AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 87.TAIWAN AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 88.AUSTRALIA AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 89.AUSTRALIA AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 90.AUSTRALIA AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 91.AUSTRALIA AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 92.SOUTH KOREA AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 93.SOUTH KOREA AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 94.SOUTH KOREA AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 95.SOUTH KOREA AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 96.SINGAPORE AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 97.SINGAPORE AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 98.SINGAPORE AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 99.SINGAPORE AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 100.REST OF ASIA-PACIFIC AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 101.REST OF ASIA-PACIFIC AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 102.REST OF ASIA-PACIFIC AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 103.REST OF ASIA-PACIFIC AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 104.LAMEA AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 105.LAMEA AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 106.LAMEA AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 107.LAMEA AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 108.LAMEA AI EDGE COMPUTING MARKET, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 109.LATIN AMERICA AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 110.LATIN AMERICA AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 111.LATIN AMERICA AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 112.LATIN AMERICA AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 113.MIDDLE EAST AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 114.MIDDLE EAST AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 115.MIDDLE EAST AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 116.MIDDLE EAST AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 117.AFRICA AI EDGE COMPUTING MARKET, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 118.AFRICA AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020–2030 ($MILLION)
TABLE 119.AFRICA AI EDGE COMPUTING MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 120.AFRICA AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020–2030 ($MILLION)
TABLE 121.CISCO SYSTEM, INC.: KEY EXECUTIVES
TABLE 122.CISCO SYSTEM, INC.: COMPANY SNAPSHOT
TABLE 123.CISCO SYSTEM, INC.: PRODUCT PORTFOLIO
TABLE 124.IBM : KEY EXECUTIVES
TABLE 125.IBM: COMPANY SNAPSHOT
TABLE 126.IBM: PRODUCT PORTFOLIO
TABLE 130.CLEARBLADE KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 131.FOGHORN SYSTEMS: KEY EXECUTIVES
TABLE 132.FOGHORN SYSTEMS: COMPANY SNAPSHOT
TABLE 133.FOGHORN SYSTEM.: PRODUCT PORTFOLIO
TABLE 134.HEWLETT PACKARD ENTERPRISE: KEY EXECUTIVES
TABLE 135.HEWLETT PACKARD ENTERPRISE: COMPANY SNAPSHOT
TABLE 136.HEWLETT PACKARD ENTERPRISE: PRODUCT PORTFOLIO
TABLE 137.HEWLETT PACKARD ENTERPRISE : KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 138.HUAWEI TECHNOLOGIES.: KEY EXECUTIVES
TABLE 139.HUAWEI TECHNOLOGIES: COMPANY SNAPSHOT
TABLE 140.HUAWEI TECHNOLOGIES: PRODUCT PORTFOLIO
TABLE 141.NOKIA : KEY EXECUTIVES
TABLE 142.NOKIA: COMPANY SNAPSHOT
TABLE 143.NOKIA : PRODUCT PORTFOLIO
TABLE 144.NOKIA NETWORK: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 145.RIGADO LLC. : KEY EXECUTIVES
TABLE 146.RIGADO LLC. : COMPANY SNAPSHOT
TABLE 147.RIGADO LLC: PRODUCT PORTFOLIO
TABLE 148.SAGUNA NETWORK: KEY EXECUTIVES
TABLE 149.SAGUNA NETWORK: COMPANY SNAPSHOT
TABLE 150.SAGUNA NETWORK: PRODUCT PORTFOLIO
TABLE 151.VAPOR IO: KEY EXECUTIVES
TABLE 152.VAPOR IO: COMPANY SNAPSHOT
TABLE 153.VAPOR IO. : PRODUCT PORTFOLIO

LIST OF FIGURES

FIGURE 01.KEY MARKET SEGMENTS
FIGURE 02.AI EDGE COMPUTING MARKET SNAPSHOT, BY SEGMENTATION
FIGURE 03.AI EDGE COMPUTING MARKET SNAPSHOT, BY REGION
FIGURE 04.TOP IMPACTING FACTORS
FIGURE 05.MODERATE-TO-HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 06.LOW-TO-MODERATE BARGAINING POWER OF BUYERS
FIGURE 07.MODERATE THREAT OF SUBSTITUTES
FIGURE 08.MODERATE THREAT OF NEW ENTRANTS
FIGURE 09.HIGH INTENSITY OF RIVALRY
FIGURE 10.PATENT ANALYSIS, BY REGION
FIGURE 11.PATENT ANALYSIS, BY APPLICANT
FIGURE 12.MARKET DYNAMICS: AI EDGE COMPUTING MARKET
FIGURE 13.GLOBAL AI EDGE COMPUTING MARKET, BY COMPONENT, 2020-2030
FIGURE 14.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR HARDWARE, BY COUNTRY, 2020 & 2030(%)
FIGURE 15.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR SOFTWARE, BY COUNTRY,  2020 & 2030(%)
FIGURE 16.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR SERVICES, BY COUNTRY,  2020 & 2030(%)
FIGURE 17.GLOBAL AI EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2020-2030
FIGURE 18.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR LARGE ENTERPRISES, BY COUNTRY, 2020 & 2030(%)
FIGURE 19.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR SMALL AND MEDIUM ENTERPRISES, BY COUNTRY, 2020 & 2030(%)
FIGURE 20.GLOBAL AI EDGE COMPUTING MARKET, BY APPLICATION, 2020-2030
FIGURE 21.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR IIOT, BY COUNTRY,  2020 & 2030(%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR REMOTE MONITORING, BY COUNTRY, 2020 & 2030(%)
FIGURE 23.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR CONTENT DELIVERY, BY COUNTRY, 2020 & 2030(%)
FIGURE 24.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR VIDEO ANALYTICS, BY COUNTRY, 2020 & 2030(%)
FIGURE 25.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR AR & VR, BY COUNTRY,  2020 & 2030(%)
FIGURE 26.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR OTHERS, BY COUNTRY,  2020 & 2030(%)
FIGURE 27.GLOBAL AI EDGE COMPUTING MARKET, BY INDUSTRY VERTICAL, 2020-2030
FIGURE 28.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR AUTOMOTIVE, BY COUNTRY, 2020 & 2030(%)
FIGURE 29.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR HEALTHCARE, BY COUNTRY, 2020 & 2030(%)
FIGURE 30.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR CHEMICALS, BY COUNTRY, 2020 & 2030(%)
FIGURE 31.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR OIL & GAS, BY COUNTRY,  2020 & 2030(%)
FIGURE 32.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR MANUFACTURING AND ROBOTICS, BY COUNTRY, 2020 & 2030(%)
FIGURE 33.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR PUBLIC INFRASTRUCTURE, BY COUNTRY, 2020 & 2030(%)
FIGURE 34.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR TRANSPORTATION & LOGISTICS, BY COUNTRY, 2020 & 2030(%)
FIGURE 35.COMPARATIVE SHARE ANALYSIS OF AI EDGE COMPUTING MARKET FOR OTHERS, BY COUNTRY,  2020 & 2030(%)
FIGURE 36.U.S. AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 37.CANADA AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 38.UK AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 39.GERMANY AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 40.FRANCE AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 41.ITALY AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 42.SPAIN AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 43.REST OF EUROPE AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 44.CHINA AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 45.JAPAN AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 46.INDIA AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 47.TAIWAN AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 48.AUSTRALIA AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 49.SOUTH KOREA AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 50.SINGAPORE AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 51.REST OF ASIA-PACIFIC AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 52.LATIN AMERICA AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 53.MIDDLE EAST AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 54.AFRICA AI EDGE COMPUTING MARKET, 2020–2030 ($MILLION)
FIGURE 55.MARKET PLAYER POSITIONING, 2020
FIGURE 56.TOP WINNING STRATEGIES, BY YEAR, 2018-2021*
FIGURE 57.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2018-2021*
FIGURE 58.TOP WINNING STRATEGIES, BY COMPANY, 2018-2021*
FIGURE 59.COMPETITIVE DASHBOARD
FIGURE 60.COMPETITIVE DASHBOARD
FIGURE 61.COMPETITIVE HEATMAP OF KEY PLAYERS
FIGURE 62.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 63.CISCO SYSTEM, INC.: REVENUE, 2018–2020 ($MILLION)
FIGURE 64.CISCO SYSTEMS, INC.: REVENUE SHARE BY REGION, 2020(%)
FIGURE 65.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 66.IBM: REVENUE, 2018–2020 ($MILLION)
FIGURE 67.IBM.: REVENUE BY REGION 2020 ($ MILLION)
FIGURE 68.IBM: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 69.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 70.HEWLETT PACKARD ENTERPRISE: REVENUE, 2018–2020 ($MILLION)
FIGURE 71.HEWLETT PACKARD ENTERPRISE : REVENUE BY SEGMENT, 2020 %
FIGURE 72.HEWLETT PACKARD ENTERPRISE: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 73.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 74.HUAWEI TECHNOLOGIES: REVENUE, 2019–2020 ($MILLION)
FIGURE 75.HUAWEI TECHNOLOGIES: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 76.HUAWEI TECHNOLOGIES: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 77.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 78.NOKIA NETWORK: REVENUE, 2018–2020 ($MILLION)
FIGURE 79.NOKIA: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 80.NOKIA: REVENUE SHARE BY REGION, 2020 (%)

 
 

In accordance with the insights by the CXOs of leading companies, the global AI edge computing market is projected to witness prominent growth, especially in Asia-Pacific and Europe regions. This growth is attributed to the ability of the AI edge to overcome cloud computing challenges, rise in demand for real-time operations, and proliferation of edge AI-enabled devices.

Edge computing is a type of cloud computing approach that brings computer data storage closer to the location where it is required. Unlike conventional cloud computing platforms that integrate storage and processing in a single data center, edge computing pushes the computation or data processing power to the edge devices to handle. However, AI Edge or Edge Intelligence, is the amalgamation of edge computing and AI. It provides a form of on-device AI to take advantage of rapid response times with low latency, more robustness, high privacy, and efficient use of network bandwidth. This field of AI Edge is entirely new and is continuously evolving. It is anticipated to drive the AI future, by moving AI capabilities close to the physical world.

On the other hand, edge computing has brought AI processing tasks from the cloud to the end devices while overcoming the intrinsic problems associated with the traditional cloud, such as the lack of security and high latency. Furthermore, the 5G in high-growth areas such as real-time virtual reality experiences, fully self-driving cars, and mission-critical applications is projected to drive innovation across the global edge computing and AI Edge industry.

The global edge computing market is dominated by key players such as Cisco Systems, Inc., International Business Machine Corporation, Clearblade, Inc., Foghorn Systems, Hewlett Packard Enterprise Development LP, Huawei Technologies Co. Ltd., Nokia, Rigado Llc, Saguna Networks Ltd., Vapor IO., and others. The key players have adopted various growth strategies to enhance and develop their product portfolio, strengthen their edge computing market share, and to increase their market penetration.

For instance, in February 2021, Foghorn Systems collaborated with IBM on Edge-to-Hybrid Cloud solutions. Through this collaboration their goal is to provide an open and secured next-generation hybrid cloud platform with advanced, edge-powered artificial intelligence and closed-loop system control capabilities.

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