Edge Computing Market

Edge Computing Market by Component (Hardware, Platform, and Services), Application (Smart Cities, IIoT, Content Delivery, Remote Monitoring, AR and VR), Organization Size (SMEs and Large Enterprises), Vertical, and Region - Global Forecast to 2024

Report Code: TC 5693 Aug, 2019, by marketsandmarkets.com
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[140 Pages Report] MarketsandMarkets projects the global edge computing market to grow from USD 2.8 billion in 2019 to USD 9.0 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 26.5% during the forecast period. Factors such as growing adoption of Internet of Things (IoT) across industries; rising demand for low-latency processing and real-time, automated decision-making solutions; and a need for surmounting exponentially increasing data volumes and network traffic.

Moreover, the emergence of autonomous vehicles and connected car infrastructure, and the need for lightweight frameworks and systems to enhance the efficiency of edge computing solutions are expected to create ample opportunities for edge computing vendors.

Edge Computing Market

Hardware segment to hold the largest market size during the forecast period

The edge computing market by component covers, hardware, platform, and services. The hardware component is estimated to hold the largest market size during the forecast period, owing to the large-scale deployment of hardware components for decentralizing storage and computing operations, enabling comprehensive edge infrastructure deployment, and reducing network traffic. Organizations offer advanced edge computing hardware that either acts as an initial point of data source (edge devices) or a facilitator of the entire network (gateways and servers); or serves as a storage and local processing unit (local data centres) in the overall edge computing process.

By deployment type, the cloud segment to record the highest CAGR during the forecast period

The cloud deployment type is expected to witness a faster growth rate in this market, as it is being rapidly accepted by various enterprises, because of its easy, flexible, affordable, and scalable features. It also provides the highest level of data security and dependability. Additionally, the installation cost for cloud-based edge computing solutions is lower than that of the on-premises solutions.

Large enterprises to hold a larger Edge Computing Market size during the forecast period

The adoption of edge computing solutions among large enterprises is high owing to the increased generation of data, which is attributed to the widespread geographical presence and customer base. Moreover, the increasing demand of employees to access computing resources and applications ubiquitously while ensuring proper data storage, drives the demand of edge computing solutions among large enterprises. For instance, large manufacturing companies need to correlate voluminous data generated from sensors or actuators attached to their physical assets, such as machines, turbines, factories, and lifts with historic information. Subsequently, this helps them to detect or forecast failures in the shortest possible time for avoiding downtime and loss in production.

Edge Computing Market

North America to account for the largest market size during the forecast period

The global edge computing market by region covers 5 major geographic regions, namely, North America, Asia Pacific (APAC), Europe, Middle East and Africa (MEA), and Latin America. North America is expected to account for the largest market size during the forecast period, owing to the presence of large number of edge computing vendors and increasing technology adoption among North American enterprises for leveraging new technologies, such as IoT and 5G.

Edge Computing Market Dynamics

Driver: Growing adoption of IoT across industries

The proliferation of IoT has led to a significant increase in data, due to which organizations are increasingly relying on centralized cloud computing and storage solutions. Migrating to the cloud for the entire IT infrastructure poses latency and economic feasibility issues. Hence, organizations using IoT sensors, actuators, and other IoT devices are increasingly looking for edge computing solutions, such as edge nodes, devices, and hyper-localized data centers. Edge computing supplements the existing cloud paradigm by facilitating data processing closer to the data source, thereby enabling organizations to speed up decision-making. For instance, Purdue University that uses IoT sensors and devices to study and improve plant growth and food production processes, partnered with an edge computing solution provider. With the partnership, the university now leverages the wireless and edge computing technologies to gather, collocate, process, and transmit the voluminous data generated by the sensors. Consequently, the technologies help the university save time and money by increasing the speed and accuracy of their research and facilitating faster communication.

Edge computing drives automation and improves the predictive accuracy of events, such as network outages, machine downtime, and weather change. For example, the Alaskan government uses smart sensors in combination with edge computing to send alerts to drivers, about weather and road conditions for preventing road accidents. In addition, edge computing also eliminates the disadvantages of cloud computing, such as DDoS attacks and cloud outages.

Restraint:  Initial CAPEX for infrastructure

Enterprises are rapidly moving toward digitalization by adopting emerging technologies to automate and accelerate their business processes efficiently. Edge computing might reduce data transmission and storage costs through localized processing, but investing in edge infrastructure still adds to the CAPEX of companies. Companies looking for comprehensive edge computing solutions would require investing heavily in edge nodes, other edge devices, and edge data centers. They would also be required to spend more on making the devices and the entire network secure. Due to this, various content delivery enterprises are reluctant to move toward the edge, just for achieving low latency processing. For instance, in 2018, Netflix, a live and on-demand video streaming company, rejected the idea of investing in edge computing. The edge infrastructure cost is a restraining factor in the growth of edge computing market, though, with advancement and continuous R&D, the cost of edge technology is expected to reduce soon.

Opportunity:  Emergence of autonomous vehicles and connected car infrastructure

Rising consumer demands and various technological advancements have led to the proliferation of autonomous and connected vehicles infrastructure. Autonomous vehicles broadcast information about weather, light, and road conditions, and utilizes the same to navigate, control, and drive. As edge computing makes processing faster and closer to the source of data, there lie significant opportunities for edge computing to support the evolution of autonomous vehicles. Many companies have started reinventing the cloud through edge computing to support autonomous and connected car technologies, though it is still in the nascent stage. In 2017, AT&T announced its step toward building a network of edge data centers for autonomous cars, which is currently in the test phase.

Edge computing in autonomous cars can enable for more accurate and quicker utilization of the data collected, enabling edge data centers to offload non-critical data and retain important data within the vehicle. Combined with Artificial Intelligence (AI) and Machine Learning (ML), edge computing can also help achieve situational awareness within a fraction of time, by providing local processing power to speed up the processing of huge data generated through autonomous cars. This smart driving can help prevent road accidents and avoid traffic jams effectively. Owing to the benefits of edge computing, more autonomous car manufacturers are expected to invest in the technology in the near future, which is further expected to bolster the growth of the edge computing market.

Challenge:  Vulnerability issues with edge nodes

Despite the benefits, edge computing architecture is susceptible to cyberattacks with the addition of vulnerable edge nodes and IoT devices. Many IoT devices, such as security cameras, smart doorbells, and baby monitors, have limited capability of authentication and encryption. Hence, they are prone to tampering, eavesdropping, malicious congestion, and identity forging. With the increasing number of IoT startups and rising competition, many small companies are relying on security through obscurity, while neglecting the risk of cyberattacks. As these devices lack in terms of robust IT hardware protocols, the users having less or no knowledge about IT security might lose critical data, paving the way for malware that could shun the entire edge network. This could also lead to large security breaches and can cause huge economic loss to the entire ecosystem. Eliminating authentication and enumeration vulnerabilities is the biggest challenge for IoT device manufacturers until the companies introduce some tough protocols and authentication systems within the devices.

Scope of the Edge Computing Market report

Report Metric

Details

Market size available for years

2017–2024

Base year considered

2018

Forecast period

2019–2024

Forecast units

Million (USD)

Segments covered

Component, Application, Organization Size, Vertical, and Region

Geographies covered

North America, APAC, Europe, Latin America, and MEA

Companies covered

Cisco (US), HPE (US), Huawei (China), IBM (US), Dell Technologies (US), Nokia (Finland), Litmus Automation (US), FogHorn Systems (US), SixSq (Switzerland), MachineShop (US), Saguna Networks (Israel), Vapor IO (US), ADLINK (Taiwan), Altran (France), and Axellio (US)

This research report categorizes the edge computing market based on component, application, organization size, vertical, and region.

Based on components, the edge computing market has been segmented as follows:

  • Hardware
  • Platform
  • Services

Based on applications, the market has been segmented as follows:

  • Smart Cities
  • Industrial Internet of Things (IIoT)
  • Remote Monitoring
  • Content Delivery
  • Augmented Reality (AR) and Virtual Reality (VR)
  • Others (Autonomous Vehicles, Drones, and Gaming)

Based on organization sizes, the edge computing market has been segmented as follows:

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

Based on verticals, the market has been segmented as follows

  • Manufacturing
  • Energy and Utilities
  • Government and Defense
  • Telecommunications
  • Media and Entertainment
  • Retail and Consumer Goods
  • Transportation and Logistics
  • Healthcare and Life Sciences
  • Others (Education and Banking, Financial Services, and Insurance)

Based on regions, the edge computing market has been segmented as follows:

  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe
  • APAC
    • China
    • Japan
    • Australia
    • Rest of APAC
  • MEA
    • Saudi Arabia
    • United Arab Emirates (UAE)
    • South Africa
    • Rest of MEA
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America

Key Edge Computing Market Players

Cisco (US), HPE (US), Huawei (China), IBM (US), Dell Technologies (US), Nokia (Finland), Litmus Automation (US), FogHorn Systems (US), SixSq (Switzerland), MachineShop (US), Saguna Networks (Israel), Vapor IO (US), ADLINK (Taiwan), Altran (France), and Axellio (US). HPE was founded in 2015 as a result of the split of Hewlett Packard into HP Inc. and HPE. It is a global pioneer in providing software, networking products, and solutions to its end users that range from small business startups to global leading enterprises. It has a wide range of solutions categorized into data storage, servers and systems, networking, and software solutions.

Recent Developments

  • In June 2019, HPE entered into a partnership with AT&T, an American multinational conglomerate to create MEC systems. These MEC systems would help telecoms and their clients manage the data produced from connected systems and devices.
  • In March 2019, HPE entered into a partnership with CTERA, an enterprise software company. CTERA with HPE, launched X series Hyper-Converged Infrastructure (HCI) for edge computing.
  • In February 2019, HPE entered into a partnership with Samsung, a South Korean multinational conglomerateto provide a joint edge-to-core virtual RAN product, based on Samsung’s radio network technologies and HPE’s Edgeline EL8000 Converged Edge System.

Critical questions the report answers:

  • Where will all these developments take the industry in the long term?
  • What are the upcoming trends for the EFSS market?
  • Which segment provides the most opportunity for growth?
  • Who are the leading vendors operating in this market?
  • What are the opportunities for new market entrants?

Frequently Asked Questions (FAQ):

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Table of Contents

1  Introduction  (Page No. - 17)
   1.1  Objectives Of The Study 
   1.2  Market Definition 
   1.3  Market Scope 
         1.3.1  Market Segmentation 
         1.3.2  Regions Covered 
   1.4  Years Considered For The Study 
   1.5  Currency Considered 
   1.6  Stakeholders 

2  Research Methodology  (Page No. - 20)
 
  2.1  Research Data 
         2.1.1  Secondary Data 
         2.1.2  Primary Data 
                 2.1.2.1  Breakup Of Primary Profiles 
                 2.1.2.2  Key Industry Insights 
   2.2  Market Breakup And Data Triangulation 
   2.3  Market Size Estimation 
         2.3.1  Top-Down Approach 
         2.3.2  Bottom-Up Approach 
   2.4  Market Forecast 
   2.5  Research Assumptions 
   2.6  Limitations 

3  Executive Summary  (Page No. - 27)

4  Premium Insights  (Page No. - 32)
   
4.1  Attractive Market Opportunities In The Edge Computing Market 
    4.2  Market, By Component 
    4.3  Market, By Application (2019 Vs. 2024) 
    4.4  Market, By Organization Size (2019 Vs. 2024) 
    4.5  Market, By Vertical (2019 Vs. 2024) 
    4.6  Market Investment Scenario
 
5  Market Overview And Industry Trends  (Page No. - 35)
   
5.1  Introduction 
    5.2  Market Dynamics 
          5.2.1  Drivers 
                 5.2.1.1  Growing Adoption Of IOT Across Industries 
                 5.2.1.2  Rising Demand For Low-Latency Processing And Real-Time, Automated Decision-Making Solutions 
                 5.2.1.3  Surmounting Exponentially Increasing Data Volumes And Network Traffic 
          5.2.2  Restraints 
                  5.2.2.1  Initial Capex For Infrastructure 
          5.2.3  Opportunities 
                  5.2.3.1  Emergence Of Autonomous Vehicles And Connected Car Infrastructure 
                  5.2.3.2  Lightweight Frameworks And Systems To Enhance Efficiency Of Edge Computing Solutions 
          5.2.4  Challenges 
                  5.2.4.1  Vulnerability Issues With Edge Nodes 
    5.3  Use Cases 
          5.3.1  Use Case 1: Maximum Asset Utilization By Remotely Monitoring Machines Located In Harsh Environmental Conditions 
          5.3.2  Use Case 2: Improved Predictive Maintenance Through Consistent Asset Performance Evaluation 
          5.3.3  Use Case 3: Implementing Core-To-Edge Infrastructure For Network Complexity Reduction, Network Outage Elimination, And Patient-Care Improvement 
          5.3.4  Use Case 4: Deploying Edge Data Centers For Improved Content Delivery And Website Latency 
          5.3.5  Use Case 5: Improved Operational Margins Through Edge Analytics And Real-Time Visualization 
          5.3.6  Use Case 6: Enhanced Internet Performance And Gaming Consistency With Edge Nodes 
          5.3.7  Use Case 7: Reducing Road Traffic Accidents Through Real-Time Localized Processing 
          5.3.8  Use Case 8: Achieving Edge Colocation To Improve Roi And Meet Rising Consumer Demands 

6  Edge Computing Market, By Component  (Page No. - 43)
   
6.1  Introduction 
    6.2  Hardware 
          6.2.1  Decentralizing Computing Processes And Upgrading Existing It Infrastructure To Fuel The Demand For Edge Computing Hardware 
    6.3  Platform 
          6.3.1  Controlling, Monitoring, And Connecting Remotely Located Resources To Drive The Adoption Of Edge Computing Platform 
    6.4  Services 
          6.4.1  Controlling It Costs And Achieving Effortless Integration To Drive The Demand For Services 
   
   
7  Edge Computing Market, By Application  (Page No. - 48)
   
7.1  Introduction 
    7.2  Smart Cities 
          7.2.1  Eliminating Network Overloading Risks For Effective Management Of Assets And Services To Drive The Adoption Of Edge Computing In Smart Cities 
    7.3  Industrial Internet Of Things 
          7.3.1  Optimizing The Potential Of Connected Infrastructure In Industries To Drive The Demand Of Edge Computing For Iiot 
    7.4  Remote Monitoring 
          7.4.1  Limiting Downtime And Extending Operational Lifespan To Boost The Demand Of Edge Computing For Remote Monitoring 
    7.5  Content Delivery 
          7.5.1  Growing Focus On Enhancing Customer Interactions And Ensuring Timely Delivery To Propel The Demand Of Edge Computing For Content Delivery 
    7.6  Augmented Reality And Virtual Reality 
          7.6.1  Delivering Immersive Experiences To Improve Customer Satisfaction And Loyalty To Fuel The Adoption Of Edge Computing For Augmented Reality And Virtual Reality 
    7.7  Others 

8  Market, By Organization Size  (Page No. - 56)
   
8.1  Introduction 
    8.2  Small And Medium-Sized Enterprises 
          8.2.1  Reducing Data Loss And Downtime To Drive The Demand For Edge Computing In Small And Medium-Sized Enterprises 
    8.3  Large Enterprises 
          8.3.1  Rising Need To Leverage Voluminous Data Generated Through Various Channels Driving The Adoption Of Edge Computing Among Large Enterprises
 
9  Edge Computing Market, By Vertical (Page No. - 60)
   
9.1  Introduction 
    9.2  Manufacturing 
          9.2.1  Improving Disaster Recovery And Enabling Real-Time Autonomous Decisions At Factory Floors To Fuel The Adoption Of Edge Computing In The Manufacturing Vertical 
    9.3  Energy And Utilities 
          9.3.1  Proactively Managing Assets In Remote And Harsh Environmental Conditions To Propel The Demand For Edge Computing In The Energy And Utilities Vertical 
    9.4  Government And Defense 
          9.4.1  Meeting Mission Demands And Eliminating Vulnerabilities In Minimal Time To Boost The Adoption Of Edge Computing In The Government And Defense Sector 
    9.5  Telecommunications 
          9.5.1  Harnessing Massive Customer Data And Ensuring Data Security To Boost The Demand For Edge Computing Solutions In The Telecommunications Vertical 
    9.6  Media And Entertainment 
          9.6.1  Delivering Enriching Experiences Through Instantaneous Connection To Drive The Demand For Edge Computing In The Media And Entertainment Vertical 
    9.7  Retail And Consumer Goods 
          9.7.1  Growing Customer Expectations And Need For Achieving High Customer Success Rates To Drive The Adoption Of Edge Computing In The Retail And Consumer Goods Vertical 
    9.8  Transportation And Logistics 
          9.8.1  Managing Fleet & Freight Transportation And Ensuring Complete Passenger & Driver Safety To Boost The Adoption Of Edge Computing In The Transportation And Logistics Vertical 
    9.9  Healthcare And Life Sciences 
          9.9.1  Creating Data-Driven Personalized Experiences And Treatment Plans To Bolster The Adoption Of Edge Computing In The Healthcare And Life Sciences Vertical 
    9.10  Others 

10  Edge Computing Market, By Region  (Page No. - 71)
    
10.1  Introduction 
     10.2  North America 
            10.2.1  United States 
                     10.2.1.1  Increasing Adoption Of Iot Devices To Drive The Adoption Of Edge Computing In The Us 
            10.2.2  Canada 
                     10.2.2.1  Imminent Need For Harnessing Rising Data Volume To Propel The Growth Of The Market In Canada 
     10.3  Europe 
            10.3.1  United Kingdom 
                     10.3.1.1  Increasing Technology Adoption And Various Government Initiatives To Fuel The Growth Of Market In The Uk 
            10.3.2  Germany 
                     10.3.2.1  High-Income Markets And Rising Strategic Partnerships To Fuel The Growth Of Edge Computing Market In Germany 
            10.3.3  France 
                     10.3.3.1  Increasing Investments By Global Edge Computing Providers To Bolster The Growth Of Edge Computing Market In France 
            10.3.4  Rest Of Europe 
     10.4  Asia Pacific 
            10.4.1  China 
                     10.4.1.1  Rapid Technological Advancements And Growing Number Of Strategic Partnerships Among Technology Companies To Drive The Growth Of Market In China 
            10.4.2  Japan 
                      10.4.2.1  High Investment In Labor-Savvy Technologies To Fuel The Growth Of Edge Computing Market In Japan 
            10.4.3  Australia 
                     10.4.3.1  Identifying New Growth Avenues By Incorporating Technologies In Business Strategies To Bolster The Adoption Of Edge Computing In Australia 
            10.4.4  Rest Of Asia Pacific 
     10.5  Middle East And Africa 
            10.5.1  Saudi Arabia 
                     10.5.1.1  Increased Inclination Of Enterprises Toward Advanced Technologies To Fuel The Growth Of Market In Saudi Arabia 
            10.5.2  United Arab Emirates 
                     10.5.2.1  Rising Expansion Of Edge Computing Providers In The Country To Add To The Growth Of Market In The UAE  
            10.5.3  South Africa 
                     10.5.3.1  Growing Cloud Workloads And Increasing Investments By The Edge Computing Vendors To Fuel The Growth Of Market In South Africa 
            10.5.4  Rest Of Middle East And Africa 
     10.6  Latin America 
            10.6.1  Brazil 
                     10.6.1.1  Growing Adoption Of Cloud-Based Services To Propel The Growth Of Market In Brazil 
            10.6.2  Mexico 
                     10.6.2.1  Need For Improving The Declining Quality Of Broadband To Fuel The Demand For Edge Computing In Mexico 
            10.6.3  Rest Of Latin America 

11  Competitive Landscape (Page No. - 94)
 
    11.1  Competitive Scenario 
            11.1.1  Partnerships, Agreements, And Collaborations 
            11.1.2  New Product Launches And Product Enhancements 
            11.1.3  Business Expansions 

12  Company Profiles  (Page No. - 98)
    
12.1  Introduction 
     12.2  Cisco 
            12.2.1  Business Overview 
            12.2.2  Solutions Offered 
            12.2.3  Recent Developments 
            12.2.4  Swot Analysis 
            12.2.5  Mnm View 
     12.3  HPE  
            12.3.1  Business Overview 
            12.3.2  Solutions Offered 
            12.3.3  Recent Developments 
            12.3.4  Swot Analysis 
            12.3.5  Mnm View 
     12.4  Huawei 
            12.4.1  Business Overview 
            12.4.2  Solutions Offered 
            12.4.3  Recent Developments 
            12.4.4  Swot Analysis 
            12.4.5  Mnm View 
     12.5  Dell Technologies 
            12.5.1  Business Overview 
            12.5.2  Products Offered 
            12.5.3  Recent Developments 
            12.5.4  Swot Analysis 
            12.5.5  Mnm View 
     12.6  Nokia 
            12.6.1  Business Overview 
            12.6.2  Solutions Offered 
            12.6.3  Recent Developments 
            12.6.4  Swot Analysis 
            12.6.5  Mnm View 
     12.7  IBM  
            12.7.1  Business Overview 
            12.7.2  Solutions Offered 
            12.7.3  Recent Developments 
            12.7.4  Swot Analysis 
            12.7.5  Mnm View 
     12.8  Foghorn Systems 
            12.8.1  Business Overview 
            12.8.2  Products Offered 
            12.8.3  Recent Developments 
            12.8.4  Mnm View 
     12.9  Machineshop 
            12.9.1  Business Overview 
            12.9.2  Products Offered 
            12.9.3  Recent Developments 
            12.9.4  Mnm View 
    12.10  Saguna Networks 
            12.10.1  Business Overview 
            12.10.2  Solutions Offered 
            12.10.3  Recent Developments 
            12.10.4  Mnm View 
    12.11  Litmus Automation 
            12.11.1  Business Overview 
            12.11.2  Products Offered 
            12.11.3  Recent Developments 
            12.11.4  Mnm View 
    12.12  Sixsq 
            12.12.1  Business Overview 
            12.12.2  Products And Solutions Offered 
            12.12.3  Recent Developments 
            12.12.4  Mnm View 
    12.13  Azion Technologies 
    12.14  Vapor Io 
    12.15  Adlink 
    12.16  Altran 
    12.17  Axellio
 
13  Appendix  (Page No. - 133)
    
13.1  Discussion Guide 
     13.2  Knowledge Store: Marketsandmarkets’ Subscription Portal 
     13.3  Available Customizations 
     13.4  Related Reports 
     13.5  Author Details 
   
   
List Of Tables  (54 Tables) 
   
Table 1  Factor Analysis 
Table 2  Edge Computing Market Size, By Component, 2017–2024 (USD Million) 
Table 3  Hardware: Market Size, By Region, 2017–2024 (USD Million) 
Table 4  Platform: Market Size, By Region, 2017–2024 (USD Million)  
Table 5  Services: Market Size, By Region, 2017–2024 (USD Million) 
Table 6  Edge Computing Market Size, By Application, 2017–2024 (USD Million) 
Table 7  Smart Cities: Market Size, By Region, 2017–2024 (USD Million) 
Table 8  Industrial Internet Of Things: Market Size, By Region, 2017–2024 (USD Million)
Table 9  Remote Monitoring: Market Size, By Region, 2017–2024 (USD Million)
Table 10  Content Delivery: Market Size, By Region, 2017–2024 (USD Million) 
Table 11  Augmented Reality And Virtual Reality: Market Size, By Region, 2017–2024 (USD Million)
Table 12  Other Applications: Market Size, By Region, 2017–2024 (USD Million) 
Table 13  Edge Computing Market Size, By Organization Size, 2017–2024 (USD Million)
Table 14  Small And Medium-Sized Enterprises: Market Size, By Region, 2017–2024 (USD Million)  
Table 15  Large Enterprises: Market Size, By Region, 2017–2024 (USD Million)
Table 16  Edge Computing Market Size, By Vertical, 2017–2024 (USD Million) 
Table 17  Manufacturing: Market Size, By Region, 2017–2024 (USD Million)
Table 18  Energy And Utilities: Market Size, By Region, 2017–2024 (USD Million) 
Table 19  Government And Defense: Market Size, By Region, 2017–2024 (USD Million) 
Table 20  Telecommunications: Market Size, By Region, 2017–2024 (USD Million) 
Table 21  Media And Entertainment: Market Size, By Region, 2017–2024 (USD Million) 
Table 22  Retail And Consumer Goods: Market Size, By Region, 2017–2024 (USD Million) 
Table 23  Transportation And Logistics: Market Size, By Region, 2017–2024 (USD Million) 
Table 24  Healthcare And Life Sciences: Market Size, By Region, 2017–2024 (USD Million) 
Table 25  Other Verticals: Market Size, By Region, 2017–2024 (USD Million)
Table 26  Edge Computing Market Size, By Region, 2017–2024 (USD Million)
Table 27  North America: Market Size, By Component, 2017–2024 (USD Million)
Table 28  North America: Market Size, By Application, 2017–2024 (USD Million)
Table 29  North America: Edge Computing Market Size, By Organization Size, 2017–2024 (USD Million) 
Table 30  North America: Market Size, By Vertical, 2017–2024 (USD Million) 
Table 31  North America: Market Size, By Country, 2017–2024 (USD Million)
Table 32  Europe: Edge Computing Market Size, By Component, 2017–2024 (USD Million)
Table 33  Europe: Market Size, By Application, 2017–2024 (USD Million) 
Table 34  Europe: Market Size, By Organization Size, 2017–2024 (USD Million)
Table 35  Europe: Market Size, By Vertical, 2017–2024 (USD Million)
Table 36  Europe: Market Size, By Country, 2017–2024 (USD Million)
Table 37  Asia Pacific: Edge Computing Market Size, By Component, 2017–2024 (USD Million)
Table 38  Asia Pacific: Market Size, By Application,  2017–2024 (USD Million)  
Table 39  Asia Pacific: Market Size, By Organization Size, 2017–2024 (USD Million)
Table 40  Asia Pacific: Market Size, By Vertical, 2017–2024 (USD Million)
Table 41  Asia Pacific: Market Size, By Country, 2017–2024 (USD Million)
Table 42  Middle East And Africa: Edge Computing Market Size, By Component, 2017–2024 (USD Million) 
Table 43  Middle East And Africa: Market Size, By Application, 2017–2024 (USD Million) 
Table 44  Middle East And Africa: Market Size, By Organization Size, 2017–2024 (USD Million) 
Table 45  Middle East And Africa: Market Size, By Vertical, 2017–2024 (USD Million) 
Table 46  Middle East And Africa: Market Size, By Country, 2017–2024 (USD Million) 
Table 47  Latin America: Edge Computing Market Size, By Component, 2017–2024 (USD Million) 
Table 48  Latin America: Market Size, By Application, 2017–2024 (USD Million) 
Table 49  Latin America: Market Size, By Organization Size, 2017–2024 (USD Million) 
Table 50  Latin America: Market Size, By Vertical, 2017–2024 (USD Million) 
Table 51  Latin America: Market Size, By Country, 2017–2024 (USD Million) 
Table 52  Partnerships, Agreements, And Collaborations, 2018–2019 
Table 53  New Product Launches And Product Enhancements, 2018–2019 
Table 54  Business Expansions, 2019–2017 
   
   
   
List Of Figures  (36 Figures)
 
Figure 1  Global Edge Computing Market: Research Design 
Figure 2   Market Estimation And Forecast Methodology 
Figure 3   Market Snapshot, 2017–2024 
Figure 4  Edge Computing Market To Witness High Growth During The Forecast Period 
Figure 5  Hardware Segment To Account For The Largest Market Size During  The Forecast Period 
Figure 6  Smart Cities Segment To Hold The Largest Market Size Among Applications During The Forecast Period 
Figure 7  Large Enterprises Segment To Hold A Higher Market Share During  The Forecast Period 
Figure 8  Manufacturing Segment To Hold The Highest Market Share Among Verticals In 2019 
Figure 9  Edge Computing Regional Snapshot: Country Market Share In 2019 
Figure 10  Advent Of IoT And Demand For Advanced Solutions To Reduce Latency And Network Overloading Driving The Edge Computing Market 
Figure 11  Hardware Segment To Hold The Highest Market Share Among Components In 2019 
Figure 12  Smart Cities Segment To Account For The Highest Market Share During The Forecast Period 
Figure 13  Large Enterprises Segment To Hold A Higher Market Share During  The Forecast Period 
Figure 14  Manufacturing Vertical To Account For The Highest Market Share During The Forecast Period 
Figure 15  Asia Pacific To Emerge As The Best Market For Investments In The Next 5 Years 
Figure 16  Drivers, Restraints, Opportunities, And Challenges: Edge Computing Market 
Figure 17  Platform Segment To Grow At The Highest Rate During The Forecast Period 
Figure 18  Industrial Internet Of Things Segment To Grow At The Highest Rate During The Forecast Period 
Figure 19  Small And Medium-Sized Enterprises Segment To Grow At A Higher Rate During The Forecast Period 
Figure 20  Manufacturing Vertical To Grow At The Highest Rate During  The Forecast Period  
Figure 21  Asia Pacific To Grow At The Highest Rate During The Forecast Period 
Figure 22  North America: Market Snapshot 
Figure 23  Asia Pacific: Market Snapshot 
Figure 24  Key Developments In The Edge Computing Market During 2017–2019 
Figure 25  Cisco: Company Snapshot 
Figure 26  Cisco: Swot Analysis 
Figure 27  HPE: Company Snapshot 
Figure 28  HPE: Swot Analysis 
Figure 29  Huawei: Company Snapshot 
Figure 30  Huawei: Swot Analysis 
Figure 31  Dell Technologies: Company Snapshot 
Figure 32  Dell Technologies: Swot Analysis 
Figure 33  Nokia: Company Snapshot 
Figure 34  Nokia: Swot Analysis 
Figure 35  IBM: Company Snapshot 
Figure 36  IBM: Swot Analysis  

The study involved 4 major activities in estimating the current market size for edge computing hardware, platform, and services. An exhaustive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and sizing with the industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, market breakup and data triangulation were used to estimate the Edge Computing Market size of segments and subsegments.

Secondary Research

In the secondary research process, various secondary sources, such as Bloomberg and BusinessWeek have been referred for, to identify and collect information for this study. The secondary sources included annual reports, press releases, and investor presentations of companies; white papers; journals; and certified publications and articles from recognized authors, directories, and databases.

Primary Research

Various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Chief Marketing Officers (CMO), Chief Technology Officers (CTOs), Chief Operating Officers (COOs), Vice Presidents (VPs), Managing Directors (MDs), technology and innovation directors, and related key executives from various leading companies and organizations operating in the edge computing market along with the associated service providers, and system integrators operating in the targeted regions. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. Following is the breakup of primary respondents:

Edge Computing Market

To know about the assumptions considered for the study, download the pdf brochure

Edge Computing Market Size Estimation

For making market estimates and forecasting the edge computing market, and the other dependent submarkets, the top-down and bottom-up approaches were used. The bottom-up procedure was used to arrive at the overall market size of the global edge computing market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:

  • The key players in the market have been identified through extensive secondary research.
  • The market size, in terms of value, has been determined through primary and secondary research processes.
  • All percentage shares, splits, and breakups have been determined using secondary sources and verified through primary sources.

Data Triangulation

With data triangulation and validation through primary interviews, the exact value of the overall parent market size was determined and confirmed using this study. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Report Objectives

  • To define, describe, and forecast the edge computing market by component, application, organization size, vertical, and region
  • To provide detailed information about major factors (drivers, opportunities, restraints, and challenges) influencing the growth of the market
  • To analyze micromarkets with respect to individual growth trends, prospects, and contributions to the overall market
  • To analyze opportunities in the market for stakeholders by identifying high-growth segments of the market
  • To forecast the market size of the market segments with respect to 5 main regions, namely, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
  • To profile key players of the market and comprehensively analyze their market size and core competencies in the market
  • To track and analyze the competitive developments, such as new product launches, product enhancements, acquisitions, partnerships, and collaborations in the global edge computing market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players up to 5

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CAGR 2018-23

Competitive Landscape

 
 
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Report Code
TC 5693
Published ON
Aug, 2019
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