Showing posts with label Global Edge Computing Market. Show all posts
Showing posts with label Global Edge Computing Market. Show all posts

Sunday, December 4, 2022

Global Edge Computing Market Outlook, and Revenue Forecast 2022-2028: Ken Research

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Market Overview

Edge computing adds to the organization's complexity by allowing a broad group of stakeholders to maintain IT infrastructures, networking, software development, traffic distribution, and service administration. Edge further blends networking architecture, software, and hardware solutions to address a range of use cases across numerous industries. The development of edge computing is still in its early stages. Although it’s operational and deployment models have not yet developed, edge computing is anticipated to present considerable growth opportunities for new entrants in the coming years.

According to Ken Research Analysis, the Global Edge Computing Market was valued at ~US$ 3 billion in 2017. It is estimated to be ~US$ 8 billion by 2022 and is expected to reach a market size of ~US$ 20 billion by 2028 growing at a CAGR of ~16% during the forecast period (2022-2028). Edge computing demand is anticipated to increase as a result of the rollout of 5G and the rising demand for decentralized data processing capability.

  • Edge computing use cases include the consumer desire for high-performance smartphone applications like high-definition multiplayer online battle arena (MOBA) games. Edge computing and the Internet of Things (IoT) offer attractive potential for edge computing architecture in developing nations like China, India, and Indonesia.
  • Since the storage and computing power of edge nodes is constrained, a well-equipped system is needed to connect the edge and the cloud. The barrier to the growth of the edge computing market will be the rise in network traffic from numerous nodes. Even when they are employing high bandwidth needs, many IT professionals still have the same problems.
  • Data centers and edge computing are now used more frequently due to the COVID-19 pandemic. Businesses across a wide range of industry sectors have scaled back their spending in upgrading servers and software to significantly reduce costs. Due to the ongoing focus on improving communications infrastructure, edge computing demand has increased since the COVID-19 outbreak and will continue to climb over the next years. In addition, a network design that demands high security and low latency connectivity are growing alongside the healthcare system as it has gained traction through online consultations.global-edge-computing-market-share

Scope of the Report

The edge computing market is segmented by component, application, and end-user. In addition, the report also covers market size and forecasts for the four region’s edge computing markets. The revenue used to size and forecast the market for each segment is US$ billion.

Key Trends by Market Segment

By Component: The hardware segment held the largest market share in 2021 as it is becoming more and more popular in the managed services sector.

  • The amount of data produced by IoT and IoT devices is rapidly growing along with their quantity. Enterprises are therefore implementing edge computing equipment to reduce the stress on the cloud and data centers to the volume of data generated.
  • Further subdivided into edge nodes/gateways (servers), sensors/routers, and others, the hardware market was dominated by the edge nodes/gateways (servers) segment. Additionally, the expansion of data centers in a variety of industries increases the demand for edge routers that connect local and wide-area networks (WAN).

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By Application: Industrial Internet of Things (IIoT) segment held the largest market share in 2021, In the manufacturing sector, edge computing has a sizable installed base in the form of device edge. As services become more complex and the infrastructure edge is made more accessible, it is anticipated that demand for edge infrastructure will rise.

  • Edge computing has been essential in helping businesses digitalize their facilities. Machine edge computing makes up a significant percentage of edge computing in the industrial sector.
  • Demand for edge infrastructure that is set up to guarantee is expected to increase as system complexity increases and the edge of the infrastructure becomes more accessible.

By End-User: Energy & utility segment held the largest market share in 2021, smart grids, which rely on device-edge infrastructure, are probably going to help the energy and utility sector's income grow.

  • Global attempts to increase the efficiency of electrical utility services, including the development of alternative renewable power sources like solar and wind, are being fueled by environmental sustainability programs.
  • In order Tocapabilities and improve operating efficiencies, smart grids are being implemented all over the world. These networks can support microgrids to support generation from dispersed renewable sources, real-time consumption control, and integration with smart appliances.

By Geography: North America segment held the largest market share in 2021, The convergence of IIoT and edge computing is creating favorable conditions for manufacturers in the USA to transition to connected manufacturing.

  • Several startups have also emerged to provide platforms for building edge-enabled solutions, which are expected to help the regional market's growth. For instance, the MobiledgeX Early Access Program was developed in cooperation between Telus Communications and MobiledgeX, Inc. The software has made it possible for programmers to create, test, and evaluate the effectiveness of edge-enabled apps in a low-latency setting.

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Competitive Landscape

  • The global edge computing market is highly competitive with ~200 players which include globally diversified players, regional players, and country-niche players with their niche in the edge computing market.
  • County-niche players constitute ~45% of the market, while the regional players are the second largest by type. Some of the major players in the market include General Electric Company, IBM Corporation, Intel Corporation, Microsoft Corporation, SAP SE, Amazon Inc., Huawei Technologies Co. Ltd., Hewlett Packard Enterprise Development, Honeywell International Inc., Google LLC, and others.

Recent Developments Related to Major Players

  • In June 2022, SixSq announced their continued collaboration to provide Nuvla Marketplace users with intelligent sound-embedded software that can analyze particular sounds in any situation. The unique sound processing technology from Securaxis can now be purchased, deployed, and managed much more easily thanks to this agreement.
  • In May 2022, Litmus and Google Cloud collaborated to create the Manufacturing Connect platform, which simplifies the hard operation of collecting data from different industrial equipment and exposing it to Google Cloud data and Al applications. A factory edge platform called Manufacturing Connect is designed specifically to accommodate more than 250 machine communication protocols right out of the box. For advanced analytics and Al, data is organized, stored locally, and transmitted to Google Cloud. For closed loop Al, the platform can manage and deploy machine learning and AI models at the edge.
  • In April 2022, Dell Technologies expanded its edge solutions to assist retailers in fast generating more value and providing superior customer experiences based on data gathered in retail locations. To keep up with market demands and improve consumer experiences, retailers have adopted cutting-edge technologies in everything from supermarket merchandising and curbside pickup to seamless checkout and loss prevention.

Conclusion

The global edge computing Industry is forecasted to continue the growth that is witnessed since 2017, edge computing is a method that handles data processing at the network's edge. For instance, a mobile phone might be an edge device in the telecom industry. As a result, every device that produces data near the network's edge serves as an edge device. The primary drivers of the growth of the worldwide edge computing market include variables like the rise in the number of intelligent apps and the increased global strain on cloud infrastructure. Though the market is highly competitive with ~200 players, few global players control the dominant market share and regional players also hold a significant market share.

Key Topics Covered in the Report

  • Snapshot of the Global Edge Computing Market
  • Industry Value Chain and Ecosystem Analysis
  • Market size and Segmentation of the Global Edge Computing Market
  • Historic Growth of the Overall Global Edge Computing Market and Segments
  • Competition Scenario of the Market and Key Developments of Competitors
  • Porter’s 5 Forces Analysis of the Global Edge Computing Industry
  • Overview, Type Offerings, and Strengths & Weaknesses of Key Competitors
  • COVID-19 Impact on the Overall Global Edge Computing Market
  • Future Market Forecast and Growth Rates of the Total Global Edge Computing Market and by Segments
  • Market Size of Application Segments with Historical CAGR and Future Forecasts
  • Analysis of Global Edge Computing in Major Regions
  • Major Type/Supply and Consumption/Demand Hubs within Each Region
  • Major Country-wise Historic and Future Market Growth Rates of the Total Market and Segments
  • Overview of Notable Emerging Competitor Companies within Each Major Region

Major Players Mentioned in the Report

  • General Electric Company
  • IBM Corporation
  • Intel Corporation
  • Microsoft Corporation
  • SAP SE
  • Amazon Inc.
  • Huawei Technologies Co. Ltd.
  • Hewlett Packard Enterprise Development
  • Honeywell International Inc.
  • Google LLC

Notable Emerging Companies Mentioned in the Report

  • EdgeConnex Inc.
  • ClearBlade
  • Digi International
  • Axellio

Key Target Audience – Organizations and Entities Who Can Benefit by Subscribing This Report

  • Edge Computing Companies
  • Edge Computing Association
  • Cloud Server Manufacturers
  • Networking Equipment Manufacturers
  • Research & Development Institutes for Edge Computing
  • Edge Computing Manufactures
  • Technology Research Associations
  • Edge Computing Solution Suppliers
  • Edge Computing Component Providers
  • Investment Banks Targeting Edge Computing Market
  • PE and VC Firms Targeting Edge Computing Industry
  • Government Ministries and Departments of Information Technology
  • Government Ministries and Departments of Communications Industry
  • Potential Entrants into Edge Computing Industry

For more insights on the market intelligence, refer to the link below: –

Global Players in Edge Computing Industry

Thursday, January 6, 2022

Global Edge Computing Market Future Outlook: Ken Research

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Global Edge Computing Market is a ground-breaking method to cloud computing systems optimization. This denotes primarily to the systems that allow computational to be carried out at the edge of the network. Edge computing is accountable for positioning data collection and control mechanisms, high bandwidth storage, and end-user-connected applications.  Battery life for the battery-operated IoT devices is enhanced by the shorter times of open communications channels caused by an enhanced latency. Edge computing also allows efficient data storage, with cleaner data sets for cloud-based analysis as data assortment and data processing are done at the edge of the network.

According to the report analysis, ‘Global Edge Computing Market By Component (Hardware, Software, Services, Edge-managed Platforms), By Industry Vertical (Healthcare, Agriculture and energy and utilities); and Region –Analysis of Market Size, Share & Trends for 2016 – 2019 and Forecasts to 2030states that the growth is projected due to the increasing escalation of the Internet of Things and growing concerns for security across public places. During the coming years, the IoT phenomenon is projected to enlarge with the organization's digital transformation initiatives. The exponential growth and increasing use of IoT in companies would lead to the fuel the edge computing industry. As IoT has augmented in countless high-computing connected mobile devices, companies have gained admittance to and stored large capacity of data in the repository.


The appearance of IoT led to a substantial augment in data, as businesses rely more and more on centralized cloud computing and storage solutions. Movement of the whole IT industry to the cloud poses economic probability issues. Therefore, these companies are uninterruptedly searching for edge computing resources comprising edge nodes, instruments, and hyper-located data centers, using IoT sensors, actuators, and several other IoT tools.

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Edge computing in autonomous motor cars can make it conceivable to usage the collected data better and more precisely, enabling edge computer to offload non-critical data in the edge data centers and to reserve essential data within the vehicle. In addition, edge computing can assistance achieve situational awareness within a space of time collective with Artificial intelligence (AI) and machine learning (ML) by delivering the local processing power to facilitate the processing of great quantities of data produced by the autonomous automobiles.

However, in utilizing digital technologies to effectively streamline and accelerate business procedures companies are moving speedily towards digitization. The initial investment in edge computing is still a foremost load on the capital expenditure of the company. For businesses that are chasing comprehensive edge computing solutions, investments in the cutting-edge nodes, other edge tools, and edge data centers are noteworthy. They would also have to invest more in confirming the fortification of devices and of the whole network. As a result, multiple service suppliers are disinclined to switch to the edge only owing to the low latency processing.

A number of startups that deliver the platforms to improve an edge-enabled solution are generating a driving force for the region's industrial growth. For example, in Canada telecommunication companies, comprising Telus Communications, are developing MobiledgeX, Inc., an early admittance program that will empower developers to build, experiment, and measure the effectiveness of edge-enabled applications in a low latency atmosphere.

For More Information on the Research Report, refer to below links: -

Global Edge Computing Market Future Growth

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Global Edge Computing Market 2020-2030 by Component (Hardware, Software, Services), Technology (Fog Computing, MEC), Deployment (On-premise, Cloud), Application, Industry Vertical, Organization Size, and Region: Trend Forecast and Growth Opportunity

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Friday, September 17, 2021

Global Edge Computing in Industrial Automation Market 2021 Upcoming Trends, Industry Size, Demand and Forecast Research Report to 2027: Ken Research

The edge computing denotes to a major technological improvement for industrial automation. It suggests the benefits of data collection, storage and analysis in the real-time for more informed, processing and speedily decision making in complex production surroundings. This opens up a broad range of possibilities for producers that were thought to be impossible when the industrialization first began. The features and functions of edge computing are what provide the diverse profits linked with it and makes it attractive to manufacturing or industrial organizations. The edge computing in industrial automation primary advantage is the capability to bring lower latency computing to manufacturing amenities.

According to the report analysis, ‘Global Edge Computing in Industrial Automation Industry Research Report 2021 Segmented by Major Market Players, Types, Applications and Countries Forecast to 2027states that Ericsson, FogHorn, Microsoft, Exor International S.p.A., Schneider Electric, Amazon Web Services, RAD Group, ObjectBox Limited, Alibaba Cloud, IOTech, ADLINK, Advantech Co Ltd and many more are the foremost entities which presently operating in the global edge computing in Industrial automation market more proficiently for leading the highest marker growth and dominating the handsome value of market share during the review duration while spreading the awareness connected to the features and applications of such, increasing the applications and benefits of such, delivering the better consumer satisfaction, establishing the several research and development programs, decreasing the associated prices of such, employing the young and active personnel, improving the qualitative and quantitative measures of such, analysing the strategies and policies of government as well as similar corporates, and implementing the policies and strategies and enlargement and profit making.

By types, the global edge computing in industrial automation is segmented into organization data calculation and unstructured data computing. By applications, the Global Edge Computing in Industrial Automation Market is sectored into autonomous driving, logistics warehousing and industrial manufacturing. Whereas, it is predicted that autonomous driving sub-segment hold the greater share in the global market as the edge computing runs on vast amounts of data and obtain the perpetual connectivity. Moreover, it is also anticipated that due integration of internet of things around the logistics warehousing sub segment going to register market growth.

Furthermore, the global edge computing in industrial automation industry is segmented into North America, East Asia, Europe, South Asia, Southeast Asia, Middle East, Africa, Oceania, and South America. Whereas, it is predicted that the North America region hold the market growth more proficiently owing to automated infrastructure, easy implementation of edge computing to monitors and controls the physical equipment and machines. Not only has this, the key players in the Asia Pacific region are effectively implementing the policies of enlargement such as joint venture, merger and acquisition, collaboration, new product development, partnership and several others for ruling around the globe, obtaining the competitive edge and generating the high percentage of revenue. Therefore, in the coming years, it is predicted that the market of edge computing in Industrial automation will increase around the globe more proficiently over the incoming duration.

For More Information, refer to below link:-

Global Edge Computing in Industrial Automation Market Forecast 2027

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Wednesday, January 16, 2019

Global Edge Computing Market and its relevance to IIoT : Ken Research


The Report Global Edge Computing Market (2018-2023) gives a detailed analysis on the global market for edge computing. The report gives current and forecasted regional (North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa) market size data for the North America edge computing market, based on applications: smart cities, smart factories, connected healthcare, connected vehicles, smart grids, and other, based on end users industries manufacturing, energy and utility, IT and telecommunication, healthcare and life sciences, consumer appliances, and transportation and logistics. The report covers market trends and market drivers and challenges for the global edge computing market. The report will help in formulating product marketing strategy based on industry and economic factors. The top players in the market are Cisco system, Microsoft Corporation, IBM, Google, Amazon, SAP, Oracle, Huawei Technologies Co. Ltd and Intel Corporation.
New technological innovations have led to the innovation of Industrial Internet of Things (IIoT). Edge computing is a swiftly becoming a part of IIoT and is paving way for digital transformation. Though it is not a relatively new concept, the rapidly emerging trends have facilitated in using the massive machine data into valuable insights. ‘Edge’ means computing infrastructure close to sources of data. These edge devices are far from the centralised computing in the cloud. Thus, this facilitates analysis of data from the source of its generation. Thus, the data generating devices are not to be necessarily connected to laptops, sensors or tablets to generate valuable insights. Until the recent past, the role of edge computing was limited to just transforming data to cloud systems.
By using big data and analytics, and of recently edge computing, industries are more and more using data to get clean insights that help in reducing unplanned downtime, improve productivity and lower energy consumption. Though edge computing is changing the way industries process data, cloud will also be helpful in managing vast data volumes from machines. Edge computing has helped in keeping up the promise of Industrial IoT. The factors driving the growth of edge computing are the ever - evolving machine learning and analytics. Along with this, the reducing prices of sensors, vase amount of data, more power to smaller devices. These factors will help in harnessing insightful decisions and actions.
The factors that threaten the market are low connectivity, lower bandwidth, higher cost of transmission of data to the cloud, compliance and regulation, the pressure to very quickly process and analyse data, and access to data for real – time analytics. Overseeing these, edge computing gives many benefits in the terms of predictable maintenance, energy management and flexibility.
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