Multi-Access Edge Computing Market Size, Share, Opportunities, And Trends By Type (Public MEC, Private MEC), By End-use (Manufacturing, Warehouses, Healthcare), By Application (Data And Video Analytics, Time Sensitive Networking, Others), And By Geography - Forecasts From 2023 To 2028

The global Multi-Access Edge Computing Market was valued at US$2.729 billion in 2022 and is expected to increase by 45.89% to reach US$26.306 billion in 2028.

GROWTH DRIVERS

• 5G Adoption in MEC

The adoption of 5G multi-access edge computing (MEC) is experiencing rapid growth. Mobile edge computing, a crucial component of the evolving 5G network, offers optimization of mobile resources. The combination of 5G and Edge technology addresses critical network shortcomings, including the requirements for reduced latency, enhanced network resilience during outages, and heightened data security. This edge-driven transformation is a significant disruptor in the contemporary business landscape, with 5G MEC technology leading the way.

For instance:

• In August 2021, Taqtile, an enterprise software provider, introduced an augmented reality (AR) solution that harnesses the power of 5G and MEC to assist frontline workers in sectors like manufacturing and field maintenance known as Manifest Connect, this solution equips and empowers frontline workers to efficiently and safely complete complex tasks with consistency.
• In March 2022, Tata Consultancy Services (TCS) unveiled its Enterprise 5G Edge suite of solutions in collaboration with Microsoft Azure's private mobile edge computing (private MEC). This TCS suite offers a wide range of capabilities that assist enterprises in creating, incorporating, deploying, and managing an enterprise 5G edge ecosystem by leveraging the Azure private MEC solution. This enables businesses to harness the benefits of edge computing for their 5G applications.

Cloud RAN and MEC Co-Deployment

Cloud RAN (CRAN) and Mobile Edge Computing (MEC) are synergistic technologies that effectively support emerging services, particularly those demanding low latency and high bandwidth. However, implementing CRAN on a generic computing infrastructure instead of specialized RAN-optimized hardware represents a substantial investment for mobile network operators. Nonetheless, the CRAN approach enables quicker radio deployment, significantly reducing the time required compared to traditional deployment methods. This highlights the cost-efficiency and agility that CRAN brings to the telecommunications industry.

• In March 2023, Google and Nokia made a significant announcement regarding their collaboration to advance cloud RAN technology. They successfully conducted the first end-to-end Level 3 (L3) data call, demonstrating the capability to run radio access network (RAN) functions as software on Google's Distributed Cloud Edge (GDC Edge) platform. This achievement, powered by Nokia's AirScale Cloud RAN solution and Nokia Cloud RAN SmartNIC, not only enables customers to realize their objectives but also ensures that feature parity is maintained between traditional and cloud RAN deployments.
• In April 2023, Ericsson and Dell Technologies joined forces to improve the flexibility of Cloud RAN (Radio Access Network). Ericsson's Cloud RAN solution integrates Dell PowerEdge servers with Ericsson's cloud-native RAN compute software. This collaboration enables RAN and mobile edge computing tasks to operate seamlessly on Dell infrastructure within a distributed RAN architecture.

Rapid Proliferation Of 5G Network Deployment

According to TeleGeography and 5G Americas, it has been reported that the count of operational 5G networks worldwide has currently achieved a count of 267 million. This figure is projected to experience a notable rise, reaching 386 million by the conclusion of 2023 and subsequently escalating to 413 million by the close of 2025. These statistics underline the robust growth in 5G network investments across various global regions, highlighting the dynamic evolution of 5G technology.

EMERGING OPPORTUNITIES IN THE MEC MARKET

Artificial Intelligence at the Edge

The deployment of AI applications at the edge of the network, often referred to as Edge AI, shares common goals. These objectives include deploying AI applications in proximity to data sources, enabling real-time data processing, functioning independently without relying on network connectivity, minimizing power consumption, and optimizing limited computing resources. Edge AI facilitates quick decision-making by eliminating the need to shuttle data back and forth between the cloud and edge devices.

• In February 2023, MemryX Inc. and Edge Impulse formed a partnership to facilitate the easy development and deployment of AI on MemryX Edge AI Processors. These edge AI chips find extensive use in various sectors, including transportation, IoT, robotics, industrial, and edge computing. Developers now have the opportunity to utilize Edge Impulse's platform to create, evaluate, and effortlessly deploy models and algorithms on MemryX edge AI processors.
• In August 2023, Sidus Space, a satellite manufacturing and space services company, revealed its strategic acquisition of Exo-Space, an innovative California-based company specializing in Edge Artificial Intelligence (AI) software and hardware for space-related purposes. The incorporation of Exo-Space's EdgeAI technology into Sidus' sensors offers substantial value and has transformative potential across diverse sectors.

GEOGRAPHICAL PRESENCE

• In November 2022, Vodafone inaugurated the United Kingdom's inaugural Edge Innovation Lab within Manchester's MediaCity. This lab, located at HOST, the Home of Skills & Technology, provides a platform for businesses, educational institutions, software developers, and public sector entities to explore and experiment with the potential of Multi-access Edge Compute (MEC), which represents the next evolution in network technology.
• In April 2022, Hewlett Packard Enterprise partnered with Maxis to become Malaysia's inaugural provider of multi-access edge computing, offering a digital solution tailored for enterprises. This collaboration makes MEC especially appealing to businesses that rely on time-sensitive edge applications like data analytics, Artificial Intelligence (AI), automation, and machine learning.

MAJOR PLAYERS IN THE MARKET

Some of the leading players in the market include Hewlett Packard Enterprise, Intel, and Verizon among others. The product offerings of the major corporations include the following:

Multi-Access Edge Computing Market Scope:

SEGMENTATION

The Global Multi-Access Edge Computing Market has been analyzed through the following segments:

• By Type
  • Public MEC
  • Private MEC
• By End-use
  • Manufacturing
  • Warehouses
  • Healthcare
• By Application
  • Data and Video Analytics
  • Time Sensitive Networking
  • Others
• By Geography
  • Americas
    • United States
    • Others
  • EMEA
    • Germany
    • UK
    • Others
  • APAC
    • China
    • Japan
    • South Korea
    • Others