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
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.
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.
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 |
20172024 |
|
Base year considered |
2018 |
|
Forecast period |
20192024 |
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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 Samsungs radio network technologies and HPEs 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?
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
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 Edge Computing 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 Edge Computing 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 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 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 Edge Computing 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, 20172024 (USD Million)
Table 3 Hardware: Market Size By Region, 20172024 (USD Million)
Table 4 Platform: Market Size By Region, 20172024 (USD Million)
Table 5 Services: Market Size By Region, 20172024 (USD Million)
Table 6 Edge Computing Market Size, By Application, 20172024 (USD Million)
Table 7 Smart Cities: Market Size By Region, 20172024 (USD Million)
Table 8 Industrial Internet of Things: Market Size By Region, 20172024 (USD Million)
Table 9 Remote Monitoring: Market Size By Region, 20172024 (USD Million)
Table 10 Content Delivery: Market Size By Region, 20172024 (USD Million)
Table 11 Augmented Reality and Virtual Reality: Market Size By Region, 20172024 (USD Million)
Table 12 Other Applications: Market Size By Region, 20172024 (USD Million)
Table 13 Edge Computing Market Size, By Organization Size, 20172024 (USD Million)
Table 14 Small and Medium-Sized Enterprises: Market Size By Region, 20172024 (USD Million)
Table 15 Large Enterprises: Market Size By Region, 20172024 (USD Million)
Table 16 Edge Computing Market Size, By Vertical, 20172024 (USD Million)
Table 17 Manufacturing: Market Size By Region, 20172024 (USD Million)
Table 18 Energy and Utilities: Market Size By Region, 20172024 (USD Million)
Table 19 Government and Defense: Market Size By Region, 20172024 (USD Million)
Table 20 Telecommunications: Edge Computing Market Size, By Region, 20172024 (USD Million)
Table 21 Media and Entertainment: Market Size By Region, 20172024 (USD Million)
Table 22 Retail and Consumer Goods: Market Size By Region, 20172024 (USD Million)
Table 23 Transportation and Logistics: Market Size By Region, 20172024 (USD Million)
Table 24 Healthcare and Life Sciences: Market Size By Region, 20172024 (USD Million)
Table 25 Other Verticals: Market Size By Region, 20172024 (USD Million)
Table 26 Edge Computing Market Size, By Region, 20172024 (USD Million)
Table 27 North America: Market Size By Component, 20172024 (USD Million)
Table 28 North America: Market Size By Application, 20172024 (USD Million)
Table 29 North America: Market Size By Organization Size, 20172024 (USD Million)
Table 30 North America: Market Size By Vertical, 20172024 (USD Million)
Table 31 North America: Market Size By Country, 20172024 (USD Million)
Table 32 Europe: Edge Computing Market Size, By Component, 20172024 (USD Million)
Table 33 Europe: Market Size By Application, 20172024 (USD Million)
Table 34 Europe: Market Size By Organization Size, 20172024 (USD Million)
Table 35 Europe: Market Size By Vertical, 20172024 (USD Million)
Table 36 Europe: Market Size By Country, 20172024 (USD Million)
Table 37 Asia Pacific: Edge Computing Market Size, By Component, 20172024 (USD Million)
Table 38 Asia Pacific: Market Size By Application, 20172024 (USD Million)
Table 39 Asia Pacific: Market Size By Organization Size, 20172024 (USD Million)
Table 40 Asia Pacific: Market Size By Vertical, 20172024 (USD Million)
Table 41 Asia Pacific: Market Size By Country, 20172024 (USD Million)
Table 42 Middle East and Africa: Edge Computing Market Size, By Component, 20172024 (USD Million)
Table 43 Middle East and Africa: Market Size By Application, 20172024 (USD Million)
Table 44 Middle East and Africa: Market Size By Organization Size, 20172024 (USD Million)
Table 45 Middle East and Africa: Market Size By Vertical, 20172024 (USD Million)
Table 46 Middle East and Africa: Market Size By Country, 20172024 (USD Million)
Table 47 Latin America: Edge Computing Market Size, By Component, 20172024 (USD Million)
Table 48 Latin America: Market Size By Application, 20172024 (USD Million)
Table 49 Latin America: Market Size By Organization Size, 20172024 (USD Million)
Table 50 Latin America: Market Size By Vertical, 20172024 (USD Million)
Table 51 Latin America: Market Size By Country, 20172024 (USD Million)
Table 52 Partnerships, Agreements, and Collaborations, 20182019
Table 53 New Product Launches and Product Enhancements, 20182019
Table 54 Business Expansions, 20192017
List of Figures (36 Figures)
Figure 1 Global Edge Computing Market: Research Design
Figure 2 Market Estimation and Forecast Methodology
Figure 3 Edge Computing Market Snapshot, 20172024
Figure 4 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 20172019
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:
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
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Growth opportunities and latent adjacency in Edge Computing Market
Interested in Edge Cloud Computing/Distributed Cloud as well as Serverless PaaS for the global market value and its predictions.
Need insights into edge computing market forecast and its revenue for industry providing with Mobile edge compute technology.