Multi-Access Edge Computing Market Size & Share 2024 - 2032
Market Size by Component, by Deployment Model, by Connectivity, by Application, by End User & Forecast.
Report ID: GMI11445
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Published Date: September 2024
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Report Format: PDF
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Authors:
Preeti Wadhwani, Aishvarya Ambekar
Multi-Access Edge Computing Market Size
The global multi-access edge computing market size was valued at USD 2.8 billion in 2023 and is estimated to register a CAGR of over 37.2% between 2024 and 2032. The global deployment of 5G networks is driving the demand for Multi-Access Edge Computing (MEC). For instance, according to 5G Americas and Omdia, in Q1 2024, global 5G connections approached two billion, driven by 185 million new additions. 5G's ultra-low latency, high bandwidth, and extensive connectivity require real-time data processing near users, making the technology essential.
Multi-Access Edge Computing Market Key Takeaways
Market Size & Growth
Key Market Drivers
Challenges
MEC enables localized processing at the network's edge, reducing delays and enhancing efficiency for applications like autonomous vehicles, smart cities, and augmented reality. As 5G adoption increases, the need for subsequent solutions is expected to grow, unlocking 5G's full potential in areas such as telemedicine, industrial automation, and next-generation entertainment.
The rise of smart cities and connected vehicle ecosystems is driving the demand for integrated edge computing. Smart cities use real-time data from sensors, cameras, and IoT devices to manage traffic, utilities, and public safety efficiently. Connected vehicles require real-time data processing for V2X communication, autonomous driving, and safety features. MEC enables fast, localized data processing, reducing latency and improving responsiveness, which is crucial for urban operations and vehicle safety.
Major multi-access edge computing market players are deploying new versions of the technology. For instance, in April 2024, ETSI ISG MEC released its final Phase 3 specifications and made significant progress on Phase 4 by opening new Work Items. The latest Phase 3 version of MEC 011 (Edge Platform Application Enablement) includes updates aligned with 3GPP's CAPIF, reflecting successful collaboration with the SA6, CT3, and SA3 groups. In conclusion, MEC's completion of Phase 3 and the start of Phase 4 highlight its alignment with global standards. This positions the technology for broader industry adoption and drives the next wave of digital transformation.
Managing multiple edge nodes and ensuring seamless operations across distributed environments is challenging. MEC deployments require continuous monitoring, maintenance, and orchestration of edge devices, servers, and networks, adding complexity. This is particularly difficult in large networks with numerous endpoints. Network operators and service providers need advanced management tools and strategies for efficient resource allocation, load balancing, and fault tolerance at the edge. Without robust, scalable management frameworks, operational inefficiencies and service interruptions may occur, slowing the multi-access edge computing adoption.
Multi-Access Edge Computing Market Trends
As MEC manages sensitive data at the network edge, security is a top priority. Protecting data from breaches and unauthorized access is crucial, especially in healthcare and financial services. MEC providers are enhancing security features such as encryption, secure communication, and real-time threat detection. With more industries adopting edge computing, tailored cybersecurity solutions are gaining traction, ensuring data privacy and integrity.
For instance, in February 2024, Nokia and A1 Austria (A1) completed the industry's first 5G edge cloud network slicing trial with Microsoft. This deployment used Nokia's 5G edge slicing solution integrated with Microsoft Azure-managed edge computing on A1's live commercial network in Vienna, Austria. With edge cloud network slicing, A1 can deliver enterprise cloud applications to mobile users over a high-capacity, secure, and low-latency network.
Moreover, telecom operators are partnering with cloud providers, infrastructure vendors, and application developers to enhance their offerings. These collaborations aim to improve network performance, introduce new services, and create additional revenue streams. For instance, telecom companies are working with AWS, Google Cloud, and Microsoft Azure to expand their edge computing infrastructure. These partnerships drive the growth of the MEC ecosystem by enabling advancements in autonomous driving, gaming, and real-time analytics.
Multi-Access Edge Computing Market Analysis
Based on components, the market is divided into hardware and software. In 2023, the hardware segment held approximately USD 1.6 billion. The hardware segment is witnessing a significant trend towards edge-optimized solutions for MEC environments. For instance, in July 2024, ADLINK Technology Inc., a global leader in edge computing, launched the AI Edge Server MEC-AI7400 series. This initiative aims to enhance smart manufacturing and drive AI-powered digital transformation.
By leveraging generative AI and digital twin technology, ADLINK bridges the physical and virtual worlds, paving the way for future innovations. Traditional data center hardware is being adapted to meet the specific demands of edge computing, featuring compact form factors, rugged designs, and low power consumption.
New edge servers and gateways are being developed to operate effectively in various environments, from industrial settings to remote locations. These include edge-specific processors, memory, and storage solutions designed for high performance in constrained spaces. The focus on edge-optimized hardware ensures wider and more efficient deployment of computing resources, supporting a broader range of applications.
Based on the deployment model, the multi-access edge computing market is categorized into cloud-based and on-premises. The cloud-based segment is expected to hold over USD 35.7 billion by 2032. Serverless computing, or Function-as-a-Service (FaaS), is rapidly gaining traction for its ability to streamline cloud application development and deployment.
For instance, in February 2024, Gcore, a global leader in cloud, AI, and edge solutions, launched FastEdge, a groundbreaking serverless product designed to enhance application deployment and performance. FastEdge leverages Gcore's expertise in cloud technology, AI, and security to provide serverless edge execution. This service allows developers to deploy decentralized applications globally without the need for server configuration or infrastructure maintenance.
In serverless architectures, developers focus solely on writing code, while cloud providers manage servers and infrastructure. This approach reduces operational overhead, lowers costs, and accelerates time-to-market. Serverless computing is particularly effective for event-driven applications, such as real-time data processing and microservices. Organizations are adopting serverless models to enhance flexibility, scalability, and efficiency in their cloud environments, optimizing resource utilization and minimizing costs.
North America dominated the multi-access edge computing market with around 43% of the market share in 2023. North America leads in 5G adoption, with 5G connections making up 32% of all wireless cellular connections. The region added 22 million new connections in Q1 2024, bringing the total to 220 million. Consequently, this rapid 5G deployment rate is driving the regional market growth.
Europe is leveraging MEC to advance industrial IoT and smart manufacturing. The region's strong industrial base uses MEC to optimize production, enhance automation, and enable real-time monitoring. MEC also supports smart grid management and energy efficiency. Germany and France are heavily investing in edge computing to drive Industry 4.0 initiatives.
The Asia Pacific region is rapidly urbanizing, leading to significant MEC investments in smart city projects and infrastructure. Countries like China, Japan, and South Korea deploy MEC to manage urban services, improve traffic control, and enhance public safety. The region's focus on digitalization and the need for low-latency solutions in technologies like autonomous vehicles and IoT is driving MEC adoption.
Multi-Access Edge Computing Market Share
Intel and Amazon Web Services are the prominent players in the market holding approximately 18% of the market share. Intel delivers advanced hardware solutions for MEC environments, including Xeon Scalable processors, FPGAs, and Movidius Vision Processing Units, enhancing edge processing power and efficiency. Intel integrates its hardware with MEC platforms to ensure high performance, low latency, and energy efficiency. Collaborating with telecom operators, cloud providers, and technology partners, Intel fosters a robust MEC ecosystem. Partnerships with Nokia and Ericsson enable Intel to drive innovation and expand its market reach, supporting diverse MEC applications.
AWS extends its infrastructure to the edge with Wavelength, enabling low-latency applications and real-time data processing. By integrating Wavelength with telecom networks, AWS provides seamless access to its cloud services from the edge, supporting MEC use cases like IoT, gaming, and streaming. AWS invests in developer support through programs like AWS Edge Computing Competency and resources such as AWS Training and Certification. These initiatives equip developers to efficiently build and deploy MEC solutions, driving innovation and adoption.
Multi-Access Edge Computing Market Companies
Major players operating in the multi-access edge computing industry are:
Multi-Access Edge Computing Industry News
The multi-access edge computing market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue (USD Billion) from 2021 to 2032, for the following segments:
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Market, By Component
Market, By Deployment Model
Market, By Connectivity
Market, By Application
Market, By End User
The above information is provided for the following regions and countries:
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