Global Mobile Edge Computing Market

Mobile Edge Computing is evolving as a new normal in the ICT Domain and as it is essential for the implementation of the 5G Network it has a long way to go, thereby finding application in every industrial vertical such as Industrial IoT, Smart Cities, Retail, Automotive and BFSI offering lucrative opportunities for new players and existing players alike.

The Global MEC Market is expected to grow at a significant CAGR of 26.4% to reach a Market Size of USD 736.18 Mn in 2026 from a value of USD 186.2 Mn in 2020.

Definition / Scope
Market Overview
Market Risks
Top Market Opportunities
Market Drivers
Market Restraints
Industry Challenges
Technology Trends
Post COVID-19 Recovery
Market Size and Forecast
Market Outlook
Technology Roadmap
Competitive Landscape
Competitive Factors
Key Market Players
Strategic Conclusion
References
Appendix

Definition / Scope

Mobile Edge Computing (MEC) is advancing with integrated cloud services and resources that are closer to the user’s location and can take advantage of edge network resources. The MEC platform seeks to enable real-time compute intensive applications to be executed directly at the network edge by billions of linked mobile devices. It enables software applications to access local material, giving them real-time access to information regarding local access network conditions. Mobile core networks are relieved of further congestion and can efficiently fulfil social purposes by deploying various services and caching material at the network edge.

There are some key benefits of Mobile Edge Computing and some of which includes

Low latency and reduced network congestion.
A better user experience is delivered from the proximity of MEC to end-users.
Can help in conserving the network bandwidth
Efficiently handle massive internet traffic
Less data transportation and storage costs
Efficiently manages high volumes of data with minimal resources like internet bandwidth

Scope of the Global Mobile Edge Computing Report

Mobile Edge Computing – By Component

Hardware
Software

Mobile Edge Computing – By Application

Location-based Services
Video Surveillance
Unified Communication
Optimized Local Content Distribution
Data Analytics
Environmental Monitoring

Mobile Edge Computing – By Region

North America
Europe
Asia Pacific (APAC)
Middle East and Africa (MEA)
Latin America

Key Findings of the Global Mobile Edge Computing Market Report

Immersive technologies will be made possible by mobile edge computing, which will be a key enabler of 5G deployment.
Teleoperation/cloud robotics, telepresence, and virtual reality will provide the most opportunities.
By 2026, the global mobile edge computing software and APIs market will be worth $1.72 billion.
By 2026, the global market for MEC software in support of IoT applications will be worth $546 million.
Manufacturing, healthcare, and automobiles will be the most lucrative industry verticals for MEC.

Market Overview

The Mobile Edge Computing Market was worth USD 360 million in 2020, and it is expected to be worth USD 2.2 billion by 2026, with a CAGR of 35.2% throughout the forecast period (2021 – 2026). Various technical advances, such as sensors and other data and collecting equipment, as well as analysis tools, are being used by businesses across industries to push new levels of performance and production. Data management and analysis have traditionally been done in the cloud or in data centers. The situation appears to be changing, however, as network related technologies and programme such as smart manufacturing and smart cities gain traction.

Although adoption is not yet widespread, several significant organizations, particularly in areas such as telecom and manufacturing, are likely to embrace mobile edge computing (MEC) in the coming years, particularly in relation to IoT. With over 50 billion connected devices predicted by 2020, Huawei estimates that more than half of all data will be examined, processed, and stored at the network edge.

As businesses adopt new technologies, the requirement to analyze crucial data in near real time has become increasingly critical. Manufacturing, healthcare, telecommunications, and finance are just a few of the industries that have seen a surge in demand. Furthermore, the explosion of data (more than 150 zettabytes (150 trillion gigabytes) of data is expected to be generated by 2025, pushed the need even higher according to SharesPost. It made things like network latency extremely important.

Furthermore, with current 4G networks reaching their maximum capacity, 5G will need to manage internet traffic significantly more intelligently, with mobile edge computing playing a key role. MEC is projected to play a significant role in lowering latency for 5 G networks by managing the data load.

Furthermore, Google stated in March 2020 their vision for enabling telecommunication providers to offer corporate services over 5G networks. Google and telecom firms will offer innovative applications and services delivered at the edge via 5G networks as part of the Global Mobile Edge Cloud (GMEC) initiative.

Four operators, Telefonica, KT, China Unico, and Telstra, began working with technology firm Altran in March 2020 to build and test software solutions that they will subsequently submit to open source and standards organizations working on mobile edge computing (MEC) standards. The effort is part of the GSMA Operator Platform project and is named the Multi Operator Multiaccess Edge Computing (MEC) Experience.

However, it has been postponed due to COVID19’s global lockdown. Due to the global stoppage of activities, the pandemic has had a negative impact on the market analyzed. The internet of things (IoT), 5G, and edge computing, three interconnected technologies, are projected to face a significant slowdown in spending, affecting the industry to some extent.

Market Risks

Porter’s Five Forces Analysis is performed to analyze the risks associated in the Global Mobile Edge Computing Market

Bargaining Power of Suppliers: The number of MEC service providers is moderate, as are the number of established network slicing service providers. As a result, the supplier’s bargaining power is Moderate.

Bargaining Power of Buyer: Because of the numerous players involved in network slicing services, buyers will have enormous bargaining power. Buyers are free to select the services that best suit their needs. As a result, the buyer has a lot of negotiating power.

Threat of New Entrants: Companies entering the network slicing market are adopting technological innovations such as 5G network service delivery, as well as increasing customer demand for quality of service (QoS), data security, energy efficiency, and massive connectivity. As a result, the new entrant’s bargaining power is Moderate.

Threat of Substitutes: A number of companies are racing to develop and introduce similar technology, raising the threat of substitutes. However, such alternatives cannot provide the same level of accessibility and convenience as a MEC service. Thus, the threat of substitution is low.

Competitive Rivalry in the Market: The market’s competitive rivalry is fierce, particularly between global players Nokia, Huawei, and AT&T. These companies are launching value-added services in the international market and expanding their global footprint. As a result, the market’s competitive rivalry is high.

Top Market Opportunities

Numerous frameworks and languages for IoT solution

Any successful and upgraded IoT solution requires edge computing. Several opensource frameworks and languages are available for edge computing in the IoT. Kura, Spring Booot, Kapua, ThingsBoard, Eclipse Hono, and others are among them. APIs, interfaces, connectivity, network, integration, and other management functionalities are all available through these frameworks. This aids in the management and integration of data for edge computing, as well as providing significant industry growth opportunities.

Various sensors and other field equipment in industries such as manufacturing, transportation, and power are excellent candidates for Edge computing. HVAC systems, energy meters, aircraft engines, oil rigs, retail scanners, wind turbines, connected cars, supply chain RFIDs, robotics, augmented reality, and many other devices fall into this category. Applications that collect data from edge devices and analyze it for various business use cases – security management, predictive maintenance, performance or usage tracking, demand forecasting, and so on are common.

Advent of the 5G Network

The continued development and growth of 5G networks is likely to present significant prospects for the edge computing market. With the deployment of the 5G network, the number of linked devices is expected to rise dramatically. Furthermore, connected devices and 5G networks are likely to place a significant data burden on physical data centers, resulting in increased bandwidth consumption and decreased latency. As a result, all of these factors are expected to provide significant potential opportunities for the market.

Emerging MEC application areas of AV/VR

The availability of a vast pool of cloud resources and services has enabled the birth of various novel computing applications, such as virtual reality and smart surroundings. The delay sensitive applications, on the other hand, impose severe delay restrictions, turning euphoria into a problem. Low latency, location awareness, and mobility assistance are all criteria that the cloud computing paradigm cannot provide. Mobile Edge Computing (MEC) was introduced in this context to bring cloud services and resources closer to users by exploiting the available resources in edge networks.

Emergence of Autonomous Cars

Some edge computing industry trends that are projected to give substantial prospects to market players include the emergence of autonomous cars, connected automotive infrastructure, and the rising requirement for lightweight systems and frameworks to improve the efficiency of edge computing solutions.

Market Drivers

Key Enabler of 5G Technology

Edge computing via MEC is useful for LTE but nearly essential for 5G in cellular networks. This is due to the fact that Mobile Edge Computing allows for the optimization of fifth generation network resources, such as concentrating communications and processing capacity where it is most needed. According to the author’s results, edge computing and 5G have a significant association. Indeed, without MEC, 5G would continue to rely on backhaul to centralized cloud resources for storage and processing, negating much of the otherwise favorable benefit of 5Genabled latency reduction.

Surging demand from businesses to offer QOE

Increased demand from organizations for QOE, as well as increased demand for low latency processing and automated real-time decision-making solutions, are driving this market’s growth. Mobile data grows exponentially as the number of connected devices grows, resulting in an increase in demand for network and communications services. As the demand for mobile data, especially mobile video services, grows, mobile network operators are continuously under pressure to deliver excellent service to their consumers. MEC is a network design that allows mobile carriers to offer new services at the network’s edge.

Because of the increasing requirement for real time access and the expansion of social media, as well as the increased focus on offering high bandwidth and low latency, the mobile edge computing industry is growing with the spread of smartphones in emerging nations such as India and China. Businesses are facing significant network loads because to the increasing amount of data created by millions of customers streaming terabytes of music, video, and social media every day, and the increasing demand for network capacity is spectral bandwidth with very low latency.

Increasing Bandwidth Demands

MNOs are embracing this technology to satisfy their customer’s bandwidth demands, but they require greater distribution capabilities. Latency will be the most crucial element for your business out of all the metrics involved. Edge computing has aided infrastructure developers in resolving various issues in this area. Cutting edge computing is likely to have a substantial impact when new technologies mature. In addition, the close proximity of MEC components at the edge improves QoE significantly.

MNOs are contributing to the growth of the mobile edge computing market by widely adopting advanced mobile edge computing technology to provide customers with QoS (Quality of Service) and QoE (Quality of Experience). Furthermore, the rise of autonomous vehicles and connected vehicle infrastructure, as well as the emerging AR NR MEC application area, present considerable prospects for the global mobile edge computing market to flourish. Providers of technology concentrate their efforts on R&D in order to improve present and new applications. To run the MEC ecosystem, MNOs require SG networks at the edge, although SG is not yet widely deployed.

Market Restraints

CAPEX for Infrastructure

Edge computing may cut storage costs and data transfer by allowing for localized processing, but it also adds to a company’s CAPEX. Edge data centers, edge nodes, and other edge devices may be necessary investments for organizations looking for comprehensive edge computing solutions. To make the network and devices safe, more money will be needed. As a result, the cost of edge infrastructure could be a market restraint.

Deployment Delays

According to Reogma Market Insights, the unmet specifications required for federated MEC networks, which is being worked on at ETSI and other worldwide telecommunications standards bodies, could be affecting 5G standalone core implementation delays.

For mobile edge computing, the shift to a 5G standalone core is important. While MEC is possible in both 4G and 5G networks, 4G networks require control and user plane separation. This is a feature of 5G. Lower latency is another intrinsic feature of 5G. While there is some 4G MEC in the forecast, the vast bulk of MEC will be based on 5G standalone to realize its full potential.

Security issues

A fundamental consideration is security. This covers secure communication from the datacenter to the Edge, as well as data privacy at rest and in motion – including anonymizing sensitive customer data kept at the Edge. Other security needs include reciprocal trust between the central datacenter and Edge devices, the capacity to locate and disable rogue devices in the case of an attack, and secure WAN connectivity.

Industry Challenges

Vulnerability Issues

Because of the addition of insecure IoT devices and edge nodes, edge computing infrastructure is exposed to cyberattacks. Most IoT devices, such as baby monitors, smart doorbells, and security cameras, offer limited encryption and authentication capabilities. As a result, they’re vulnerable to forgery, malicious congestion, eavesdropping, and tampering. All of this could provide a hurdle to market participants in the near future.

Accessibility and Operations constraints

Edge applications frequently create logistical challenges when it comes to deploying human IT resources to administer them, and they don’t allow for high operator costs. Companies cannot afford to hire a professional administrator to oversee and maintain each and every Edge location. For example, in the case of thousands of miles of wind turbines, or sensors in the depths of oil wells or mining sites, or every payment processing device at every department store checkout line, or thermostats in people’s personal domains. Because of distance, volume of devices, or geographical accessibility, these operators have limitations.

Technology Trends

Edge meets more AI/ML

until recently, preprocessing of data via near edge technologies or gateways had its share of challenges due to the increased complexity of data solutions, especially in use cases with a high volume of events or limited connectivity. Now, AI/ML optimized hardware, container packaged analytics applications, frameworks like TensorFlow Lite and tinyML, and open standards like the Open Neural Network Exchange (ONNX) are promoting machine learning interoperability and enabling on device machine learning and data analytics at the edge.

At the edge, machine learning will enable accelerated decision making. Furthermore, the combination of edge and AI will propel real time personalization even farther. Anomalies might become standards if suitable thresholds are not in place. Advanced policy controls will provide users more confidence in the decisions they make based on data acquired and analyzed at the edge.

Cloud and edge providers explore partnerships

By 2024, according to Reogma Market Insights, a quarter of enterprises will have improved their business agility by combining edge data with cloud-based apps. This would necessitate collaborations between cloud and communications service providers, with certain collaborations between wireless carriers and big public cloud providers already underway.

According to Reogma Market Insights, enterprises may already employ systems to deliver real time analytics outside of typical data centers and deployment sites. Devices and computing platforms that are closer to end users and/or collocated with physical assets will become a more important part of this IT portfolio. Edge computing will be part of a wider computing fabric that incorporates public cloud services as well as on premises sites.

Post COVID19 Recovery

Despite the COVID19 crisis, the global market for Mobile Edge Computing, which was anticipated to be worth USD 427.3 million in 2020, is expected to expand at a CAGR of 30.8 percent to reach USD 2.2 billion by 2026. Hardware, one of the report’s segments, is expected to grow at a 29.3% CAGR and reach USD 2 billion by the conclusion of the analysis period. After a detailed examination of the pandemic’s commercial ramifications and the resulting economic crisis, the Software & Services segment’s growth is revised to a revised 35.4 percent CAGR for the next seven years.

Market Size and Forecast

The Mobile Edge Computing Market was worth USD 360 million in 2020, and it is expected to be reach a Market Size of USD 2.2 billion by 2026, with a CAGR of 35.2% throughout that time (2021 – 2026).

Hardware, one of the report’s segments, is expected to increase at a 29.3 percent compound annual growth rate (CAGR) to reach USD 2 billion by the conclusion of the analysis period. Following an early assessment of the pandemic’s commercial ramifications and the resulting economic crisis,

The Software & Services segment’s growth is revised to a revised 35.4 percent CAGR for the following seven years. The global Mobile Edge Computing market is now dominated by this sector, which holds a 22.1 percent share.

In 2021, the US market is expected to be worth $242.5 million, while China is expected to be worth $173.5 million by 2026.

In 2021, the Mobile Edge Computing market in the United States is expected to be worth $242.5 million. China is expected to reach a market size of $173.5 million by 2026, representing a 35.8 percent CAGR over the forecast period.

Japan and Canada are two more prominent geographic markets, with growth forecasts of 25.9% and 29.1%, respectively, for the forecast period. Germany will expand at a CAGR of around 27.3 percent in Europe.

Market Outlook

The Mobile Edge Computing Market was worth USD 360 million in 2020, and it is expected to be worth USD 2.2 billion by 2026, with a CAGR of 35.2% throughout that time (2021 – 2026).

The hardware segment accounted for the highest share of the mobile edge computing market in 2020, based on component. One of the primary causes driving investments in mobile edge computing technology, such as edge gateways and hyperconverged infrastructure, is the increased investment in 5G installations across the telecommunications industry to improve service quality.

The location-based services category held the highest percentage of the overall mobile edge computing market in 2020, according to application. Recent advancements in positioning technology, as well as enhanced data transfer via cloud computing and 5G, are driving this segment’s growth.

The big enterprises segment accounted for the highest share of the entire mobile edge computing market in 2020, based on organization size. The increased generation of data, which is linked to the segment’s vast geographical presence and customer base, accounts for the segment’s substantial share.

In 2020, North America held the highest share of the global mobile edge computing market, followed by Europe, Asia Pacific, Latin America, the Middle East, and Africa. However, due to increased investments in telecommunications sectors, government initiatives to encourage digitalization, heavy investments in IoT & cloud technologies, and high penetration of smart devices in emerging economies such as India and China, Asia Pacific is expected to grow rapidly during the forecast period.

Technology Roadmap

Five Key Edge Use Cases

Field and Industrial IoT

Edge computing is a good fit for many sensors and other field equipment in sectors including manufacturing, transportation, and power. HVAC systems, energy meters, aircraft engines, oil rigs, retail scanners, wind turbines, connected cars, supply chain RFIDs, robotics, augmented reality, and many other devices fall into this category. Applications that collect data from edge devices and analyze it for various business use cases – security management, predictive maintenance, performance or usage tracking, demand forecasting, and so on are common.

Smart Cities and Architecture

Many communities all around the world are competing for the title of Smart City. Citizens will find it easier to live in such cities thanks to IoT gadgets. Municipalities offering speedier urban services (equipment repair), traffic management (to alleviate gridlock), public safety, and green energy provisioning are all examples of use cases.

Customer Experience in Retail and Hospitality

To improve the customer experience, data on customer sentiment and social media is collected and evaluated. A kiosk, a Point of Sale (POS) system, or a Terminal is used to collect data here.

Connected Vehicles

Telematics data, for example, could be used for navigation, or to affect dynamic pricing for motor insurance, or to forecast required maintenance, among other things.

Facial and image recognition

In verticals including retail, banking, and entertainment, it’s used to identify customers and reduce fraud.

Competitive Landscape

The mobile edge computing market is competitive, and it appears to be moderately concentrated, with only a few major competitors. In terms of market share, several of the players are projected to dominate. New firms are growing their market presence and expanding their commercial footprint throughout emerging markets as a result of the increased network bandwidth provided by 5G services. Companies are gaining a considerable competitive edge as a result of technological improvements, and the industry is also seeing a number of alliances and mergers.

Key Market Developments

In March 2020: Nokia has announced that its Worldwide IoT Network Grid (WING) managed solution will now include 5G and edge capabilities. Nokia added that WING allows user plane tasks to be split and extended to the remote network edge or company premises, assuring ultralow latency, as part of the 5G launch. In addition, multiaccess edge computing (MEC) technology can be used to improve the ability of this distributed WING infrastructure to handle compute intensive IoT applications like AR/VR maintenance and cellular vehicle-to-everything (CV2X) use cases.

In January 2020: On its commercial 5G network, SK Telecom stated that it had completed a solo (SA) 5G data call. Ericsson and Samsung network equipment were used in the data call. Critical 5G technologies like network slicing and mobile edge computing (MEC) have also been included in the business’s SA 5G network, according to the company. A single physical system is divided into many virtual mobile networks using network slicing. Mobile Edge Computing reduces latency in a 5G network by installing smallscale data centers at 5G base stations to provide a data transmission shortcut.

Competitive Factors

The Market Players are adopting innovation as a differentiator for gaining Market Share, Micro edge data centers, which are small scale modular data centers that comprise all storage, computing, networking, power, and cooling facilities, are being developed by edge startups. Edge Micro, for example, will open five additional micro edge data centers around the United States in 2020. The business created a containerized data center design that can house up to six racks, each with an 8 kW power rating.

Hyperscalers, who already have a major presence in the cloud industry, are another important development in the edge computing arena. These hyper scalers are providing new edge solutions like AWS Outposts, Azure Stack, and other IoT technologies to the market. Telcos and hyper scalers are both strong candidates to lead the edge computing market. However, telcos face a number of obstacles, including a lack of cloud platforms and the presence of physical locations for hyper scalers. Partnerships between operators and hyper scalers are expected to help the industry overcome these limits.

Recent Developments

In December 2020: IBM and Samsung Electronics have partnered to create edge computing, hybrid cloud solutions, and 5G to help businesses in a variety of industries upgrade their operations and achieve the benefits of Industry 4.0. The purpose of this partnership is to create open, hybrid cloud solutions that will enable businesses to gain deeper insights from data at the edge in order to improve operational performance.

In December 2020: Verizon Inc. has partnered with Deloitte to coinnovate mobile edge computing and 5G technologies, which has the potential to alter retail and manufacturing before spreading to other industries. The goal is to provide bestinclass solutions that bridge the gap between traditional manufacturing and digital business operations.

Key Market Players

The Top 10 companies operating in the Global Mobile Edge Computing Market

SAGUNA Network, Ltd.

SAGUNA Network, based in Yokneam, Israel, was founded in 2008 and is an industry leader and inventor in edge cloud computing solutions. The company is a multiaccess edge cloud computing pioneer, assisting communication corporations with monetization, optimization, and network acceleration. Its edge cloud solutions turn communication networks into highly capable cloud computing infrastructure. The company’s award winning Saguna Edge Cloud MEC solution makes developing, deploying, managing, and automating edge cloud platforms and edge applications easier and faster. In North America and the Middle East, Saguna has a presence.

SpiderCloud Wireless, Inc.

Corning is a company that specialises in specialised glass, ceramics, and related materials and technologies, such as sophisticated optics, for industrial and scientific purposes. SpiderCloud Wireless, Inc., the company’s subsidiary, operates in the mobile edge computing sector. SpiderCloud creates scalable and multiaccess smallcell network technologies that enable mobile operators to provide organisations and venues of any size with cellular and WiFi coverage, capacity, and smart applications. Its EDGE solutions were the first preterminated optical cabling systems built exclusively for data centers in the industry.

Corning has its presence across North America, AsiaPacific, and Europe with its subsidiaries and strong distribution network. Some of its subsidiaries include Axygen, Inc. (U.S.), Corning Gilbert Inc. (U.S.), and Discovery Labware Inc. (U.S.).

Vapor IO

Vapor IO, which was founded in 2015 and is based in Texas, provides intelligent, super flexible data center solutions. Edge network solutions are also available, integrating edge exchange, edge colocation, and edge networking. Vapor IO delivers an integrated solution to integration difficulties by significantly cutting capex and OPEX expenses for creating and running data driven data centers. Vapor IO offers a true intelligence platform for every data center workload, eliminating complex infrastructure and parking lot data centers.

Through its revolutionary features, the Kinetic Edge allows new and innovative edge driven applications at unparalleled performance levels while also lowering the cost requirements for CDN, cloud, and network operators. Vapor IO is committed to establishing the Kinetic Edge as a nationwide network that solves for the edge, laying the groundwork for the next generation internet with our purpose-built technology. Vapor IO, powered by the Kinetic Edge, delivers a new sort of colocation. To provide the most comprehensive collection of interconnected edge colocation facilities, the firm deploys data centres at the edge of last mile networks.

ZephyrTel

ZephyrTel is a software development company based in Texas, United States, that was founded in 2018. In the telecoms market, it provides a comprehensive range of Telco cloud solutions for mobile, infrastructure, and retail. ZephyrTel also offers an end-to-end OSS/BSS application suite for telcos. ZephyrTel has installations in more than 50 countries, and its customers include more than 330 of the world’s largest telecom companies. NewNet Mobile Communications (US), ResponseTek (Canada), PeerApp (US), Vasona Networks (US), Mobilogy Inc. (US), and Volt Delta Resources, LLC are some of Ekso Bionics Holdings, Inc.’s subsidiaries (U.S.).

Huawei Technologies co., Ltd.

Huawei is a leading provider of ICT infrastructure and smart products around the world. Carrier Business, Enterprise Business, and Consumer Business are the company’s three business segments. Huawei’s business has extended from manufacturing phone switches to encompass developing telecommunications networks, offering operational and consulting services and equipment to corporations both inside and outside China, and manufacturing consumer communications devices. Edge computing services such as Intelligent EdgeFabric and ECIoT are also available from the company.

The corporation has subsidiaries and a large distribution network in several regions, including North America, Europe, Asia Pacific, and the Middle East and Africa. Huawei Device Co., Ltd., Huawei Machine Co., Ltd., and Shanghai Huawei Technologies Co., Ltd. are some of Huawei Technologies Co., Ltd.’s subsidiaries.

Juniper Networks, Inc.

Juniper Networks creates, develops, and sells high-performance network solutions and services to help customers build scalable, dependable, secure, and cost-effective networks for their organizations. Routers, switches, network management software, network security solutions, and software defined networking technology are among the networking products developed and sold by the company. Its products are sold in over 150 countries. The company creates networks that are extremely scalable, reliable, secure, and cost-effective. Mist System, Inc. (US), Aurrion, Inc. (US), and AppFormix, Inc. are some of Juniper’s subsidiaries (U.S.).

IBM Corporation

IBM is a company that provides computer solutions. Application, technology consulting and support, process design and operations, cloud, digital workplace, network services, business resiliency, strategy, and design solutions are all available through the organization. From mainframe processors to nanotechnology domains, IBM makes and distributes hardware and software, as well as hosting and consulting services.

Cognitive Solutions, Technology Services & Cloud Platforms, Global Business Services, Systems, and Global Financing are IBM’s five main segments. IBM is the world’s leading enterprise AI company and the world’s largest cybersecurity firm. IBM’s autonomous management product for mobile edge computing tackles the scale, variability, and velocity of change in edge environments. The company also provides solutions to assist telecoms in modernizing their networks and delivering new edge services.

The corporation has subsidiaries across the Americas, Europe, the Middle East and Africa, and Asia Pacific, as well as a strong distribution network. Red Hat, IBM India, Aspera, and Fiber link Communications are some of its subsidiaries.

Intel Corporation

Intel develops, manufactures, and distributes computer components and accessories. Microprocessors, chipsets, embedded processors and microcontrollers, flash memory, graphic, network and communication, systems management software, conferencing, and digital imaging solutions are among the company’s main offerings. Apple, Lenovo, HP, and Dell are among the companies that use Intel microprocessors in their computer systems. In the market, the company offers a variety of MEC solutions. For example, Intel’s Intel Edge Cloud Software Development Kit (SDK) allows software developers to swiftly envision, construct, optimize, and test creative and dependable solutions that demonstrate the Intelligent Network to customers.

The corporation has subsidiaries and a robust distribution network in several regions, including North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. Altera, Mobileye, Nervana Systems, Wind River, and eASIC Corporation are some of Intel Corporation’s significant subsidiaries.

AT&T, Inc.

AT&T is a telecommunications conglomerate. Through its subsidiaries and affiliates, the firm offers local and long-distance telephone service, wireless and data communications, Internet access and messaging, IP based and satellite television, security services, telecommunications equipment, and directory advertising and publication. Multiaccess edge computing (MEC) services and platforms are also available from the company. AT&T MEC, which is powered by AT&T cellular connectivity, is a cost-effective solution to improve current private networks by allocating data assets intelligently. Communications, Warner Media, Latin America, and Xandr are the company’s four main segments.

The corporation has a presence in the United States, Europe, Mexico, Brazil, and Asia Pacific thanks to its subsidiaries and robust distribution network. DIRECTV, AT&T TV NOW, AT&T Store, and Cricket Wireless are some of the company’s subsidiaries.

Nokia Corporation

Nokia develops and distributes an end-to-end network equipment, software, services, and license portfolio. The firm sells a wide range of technological gadgets and software, as well as running networks, sales, and communication channels. Nokia’s edge computing offerings include Nokia Cloud, AirScale cloud RAN, Smart venue, LTE V2X, and Airframe open edge server. Networks, Nokia Software, Nokia Technologies, and Other are the company’s four business segments.

With its subsidiaries and strong distribution network, the company has its presence across Asia Pacific, Europe, Greater China, Latin America, the Middle East & Africa, and North America. Some of its subsidiaries are Nokia Networks (Finland), Bell Labs (U.S.), and Smarter phone (Norway).

Strategic Conclusion

Mobile Edge Computing is evolving as a new normal in the ICT Domain and as it is essential for the implementation of the 5G Network it has a long way to go, thereby finding place in every industrial vertical such as Industrial IoT, Smart Cities, Retail, Automotive and BFSI offering lucrative opportunities for new players and existing players.

The Market is expected to evolve with the advancement in technology and is expected to overcome its shortcomings such as weakness in the Infrastructure, high CAPEX investment required for implementing the solution as the implementation could become cheaper and with tenacity in approach towards implementing advanced technologies by the Regional Governments due to the increasing competition at the Global stage the MEC technology is poised to benefit the most and will witness significant growth over the forecast period.

References

Appendix

AI – Artificial Intelligence
ML – Machine Learning
MEC – Mobile Edge Computing
AR – Augmented Reality
VR – Virtual Reality
IoT – Internet of Things
HVAC – Heating, ventilation, and air conditioning
RFID – Radio Frequency Identification
QoE – Quality of Experience
MNOs – Mobile Network Operators
R&D – Research & Development
CAPEX – Capital Expenditure
WAN – Wide Area Network