Multi-Access Edge Computing Market Size to Reach USD 55,415 Million By 2032

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The Global Multi-Access Edge Computing Market size was estimated at USD 1,955 million in 2021 and is expected to hit around USD 55,415 million by 2030, poised to grow at a compound annual growth rate (CAGR) of 47.5% from 2022 to 2030.

According to Custom Market Insights (CMI), The Global Multi-Access Edge Computing Market size was estimated at USD 1,955 million in 2021 and is expected to hit around USD 55,415 million by 2030, poised to grow at a compound annual growth rate (CAGR) of 47.5% from 2022 to 2030.

Our recently published report, “Multi-access edge computing Market”, offers a comprehensive and deep evaluation of the market stature. Also, the market report estimates the market size, revenue, price, market share, market forecast, growth rate, and competitive analysis. 

Multi-Access Edge Computing Market: Overview

Multi-access Edge computing refers to mobile edge computing, a member of the edge computing family that brings the IT service environment and cloud computing capabilities up close to the network’s edge. Instead of transferring all the data to the cloud for processing using traditional methods, the network edge may store, process, and analyze the data. In a network edge location near the customer, the data is processed. It benefits applications with real-time performance and reasonably large bandwidth, such as linked automobiles and Industry 4.0.

The environment has real-time access to RNI (Radio Network Information) and high bandwidth with extremely low latency. Thanks to multi-access edge computing, software applications may obtain precise temporal information and local material about the state of the local access network. It operates under the fundamental tenet that data processing closer to the user, as opposed to a centralized cloud, reduces network congestion.

To host various services and applications, it offers distributed computing capabilities. Since centralized cloud computing and storage solutions increasingly rely on Internet of Things devices, this is the primary driver propelling market development. However, IT infrastructure relocation to the cloud has latency and financial viability issues. As a result, many sectors that employ IoT sensors, actuators, and other IoT devices are looking carefully at edge computing options such as edge nodes, devices, and hyper-localized data centers.

Browse the full “Multi-Access Edge Computing Market Size, Trends, and Insights By Component (Hardware, Software, Services), By End Use (IT Telecom, Smart Cities, Smart Homes, Smart Buildings, Datacenters, Energy Utilities, Automotive, Others), and By Region – Global Industry Overview, Statistical Data, Competitive Analysis, Share Outlook, and Forecast 2022–2030” report at https://www.custommarketinsights.com/report/multi-access-edge-computing-market/

Growth Factors

The market is anticipated to grow as IoT devices are used across sectors, including manufacturing, IT and telecom, data centers, transportation, and logistics. Multi-access Edge Computing (MEC) technology is used by these sectors because they produce enormous volumes of data and need to make decisions more quickly.

The adoption of the technology by enterprises is further accelerated by MEC deployment, which reduces latency and offers a secure framework for data transport. Additionally, the 5G service delivery paradigm offers several new B2B options by utilizing edge clouds owing to the low latency and high throughput provided by MEC applications running on 5G networks. Through network slicing, session, security, and service continuity capabilities for extremely low latency and dependability, as well as seamless connection, 5G-enabled MEC also enables superior end-to-end performance. Furthermore, the ability of service providers to process massive amounts of complicated telemetry data at the network’s edge encourages new business model innovations and increases competitive competition. Additionally, integrating 5G with MEC architecture would provide public sector enterprises with connectivity and technology solutions and enhance initial response times. 

Utility, mining, and the energy sectors have all grown to rely heavily on MEC. For example, offshore mining operations often rely on satellite technology as their primary method of communication, as well as hybrid storage and cloud computing solutions for data processing and transmission, which results in a waste of resources and time. Due to the necessity for advancement, end-use firms are now more dependable communications and storage channels for analyzing enormous volumes of data generated at distant places. In addition, equipment and sensors may be managed remotely by using MEC methods. The requirement for employing multi-access edge technology at scale is highlighted by the quick automation of operations using robots and sensors brought about by Industry 4.0 and the capability to monitor mining operations from a distance.

By expanding bandwidth to build 5G capabilities, the MEC market is also gaining from the increased desire to enhance mixed reality (MR), virtual reality (VR), and augmented reality (AR) experiences. Additionally, the integration of 5G and MEC has been driven by the requirement to deliver high-quality experiences via a wireless medium, which is anticipated to give the industry significant development possibilities over the next several years. Furthermore, by combining MEC technology with virtual reality (VR) and augmented reality (AR), the transmission of sports and entertainment has significantly improved, which benefits viewers’ viewing experiences.

Segmental Overview

The market for multi-access edge computing is segmented into component and end-use. According to the element, the software segment is expected to increase at the quickest rate. The need for software that can provide distributed processing, multi-level load balancing, and content synchronization is accelerating the expansion of the software market. Additionally, solution providers like Verizon have started to provide software development kits to their clients, allowing internal teams to design programs tailored to the company’s needs and objectives. These companies also offer pre-designed software compatible with an existing MEC architecture and guarantee appropriate processing power, promoting market expansion.

The global market is divided into IT telecom, smart cities, smart homes intelligent buildings, data centers, energy utilities, automotive, and others on end-use. In 2021, the data center category led the market and was anticipated to expand quickly over the forecast period. This growth might be attributed to the multi-access edge computing architecture, which provided more flexibility in utilizing data centers. In addition, the MEC design contributes to more deployment options for data centers. Because of this, the data center market sector had a sizable market share in 2021. Additionally, changing data centers and deployment trends motivate network operators to quickly create distributed designs and infrastructures.

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Regional Overview

The most significant market share was held by North America in the multi-access edge computing industry. Over the anticipated years, it is expected that the expansion of 5G deployment will raise demand for multi-access edge computing services. Additionally, the growth of data center installations has given solutions developers the ability to incorporate edge computing and 5G, which has fueled the regional market expansion. Growing data center deployments have created chances for alliances and cooperation amongst different firms to enhance edge computing capabilities in their product and solution portfolios.

Competitive Landscape

The players have implemented various strategies to expand the global Multi-Access Edge Computing market. The study contains a thorough competitive analysis of the significant Multi-Access Edge Computing market participants and information on their company overviews, recent developments, and vital business strategies. 

Prominent Players

  • ADLINK Technology Inc.
  • Advantech Co. Ltd.
  • Huawei Technologies Co. Ltd.
  • Juniper Networks Inc.
  • SAGUNA
  • SMART Embedded Computing
  • FogHorn Systems
  • Hewlett Packard Enterprise Development LP
  • Vapor IO
  • Skyvera

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