Mobile Edge Computing (MEC) Market Grows at 26.3% CAGR with North America Leading at 40% and Advantech Holding Top 15.6% Share

The Global Mobile Edge Computing (MEC) Market reached US$ 600 million in 2022 and is expected to reach US$ 3,100 million by 2030, registering a CAGR of 26.3 percent during the forecast period 2024-2031. Mobile edge computing brings computational power closer to end users by processing data at the network edge, significantly reducing latency and improving real-time performance for applications such as autonomous vehicles, smart manufacturing, AR/VR, IoT analytics and next-generation mobile services. The widespread rollout of 5G networks is a major catalyst, enabling high-speed, low-latency infrastructure required for MEC deployments.

Market growth is supported by rising data traffic, increased adoption of cloud-native edge applications and growing demand for ultra-responsive services in industrial automation, telecom and enterprise environments. Telecom operators are rapidly integrating MEC into their 5G architecture to enable new revenue streams, while enterprises leverage edge capabilities to enhance safety, automation and operational efficiency. Asia-Pacific leads in rapid deployment, driven by large-scale 5G adoption, followed by North America and Europe, which are advancing due to strong investments in edge-cloud integration and digital transformation initiatives.

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The Mobile Edge Computing (MEC) Market encompasses distributed computing solutions that bring data processing and storage closer to mobile users and devices, reducing latency, enhancing real-time performance and enabling advanced applications across 5G, IoT and enterprise networks.

Key Developments
United States
✅ October 2025: U.S. telecom operators expanded AI-enabled MEC nodes across 5G networks to support ultra-low latency applications such as autonomous vehicle communication and real-time industrial automation.

✅ August 2025: Cloud providers partnered with edge data center companies to launch distributed MEC platforms enabling faster processing for IoT, AR/VR, and mission-critical enterprise workloads.

✅ May 2025: U.S. manufacturing facilities adopted MEC-powered computer vision systems for predictive maintenance, equipment monitoring, and operational safety enhancements.

Global
✅ September 2025: European cities deployed MEC-based smart mobility solutions integrating traffic analytics, connected vehicle data, and adaptive signaling to reduce congestion and enhance transport efficiency.

✅ June 2025: Asia-Pacific telecom operators rolled out MEC infrastructure for large-scale IoT networks supporting smart factories, logistics automation, and real-time robotics control.

✅ February 2025: Global AR/VR vendors integrated MEC capabilities to deliver seamless cloud gaming, immersive training simulations, and high-fidelity virtual collaboration.

Mergers & Acquisitions
United States
✅ July 2025: A leading U.S. cloud computing company acquired an edge-AI analytics startup to strengthen its MEC service portfolio for telecom and enterprise clients.

Global
✅ April 2025: A European telecom operator partnered with a South Korean electronics company to co-develop MEC-enabled edge devices optimized for 5G enterprise deployment.

✅ January 2025: A global network infrastructure provider acquired an edge computing software firm to enhance distributed computing, orchestration, and real-time workload management capabilities.

Key Players

Advantech Co., Ltd. | Johnson Controls International plc | Hewlett Packard Enterprise (HPE) | Huawei Technologies Co., Ltd. | Juniper Networks, Inc. | SAGUNA Network LTD | SMART Global Holdings, Inc. | Vapor IO, Inc. | Nokia Corporation | Skyvera

Key Highlights

• Advantech Co., Ltd. - Holds an estimated 15.6% share, driven by its strong portfolio of edge computing hardware, industrial IoT platforms, and widespread adoption across manufacturing and smart infrastructure.

• Johnson Controls International plc - Accounts for around 12.8% share, supported by its dominance in smart building automation, integrated edge devices, and energy-efficient digital infrastructure.

• Hewlett Packard Enterprise (HPE) - Maintains approximately 14.3% share, fueled by its Edgeline systems, hybrid edge-to-cloud platforms, and strong enterprise deployments across data-intensive applications.

• Huawei Technologies Co., Ltd. - Holds about 13.7% share, recognized for its innovative edge computing networks, 5G-enabled edge solutions, and deep penetration in telecom and smart city ecosystems.

• Juniper Networks, Inc. - Represents nearly 10.9% share, supported by AI-driven networking, secure edge infrastructure, and scalable multi-cloud edge solutions.

• SAGUNA Network LTD - Accounts for roughly 6.4% share, driven by its Mobile Edge Computing (MEC) platforms, strong presence in telecom edge deployments, and partnerships with major carriers.

• SMART Global Holdings, Inc. - Holds an estimated 5.8% share, supported by its high-performance computing modules, memory solutions, and adoption in data center and edge applications.

• Vapor IO, Inc. - Maintains about 7.1% share, known for its Kinetic Edge platform, distributed edge data centers, and leadership in low-latency infrastructure for telecom and cloud providers.

• Nokia Corporation - Represents around 9.6% share, driven by its 5G edge networks, MEC platforms, and broad adoption across telecom operators and industrial IoT.

• Skyvera - Holds approximately 3.8% share, supported by its cloud-native network solutions, edge-focused software capabilities, and growing presence in digital transformation projects.

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Market Drivers

- Rising demand for ultra-low-latency data processing to support real-time applications such as AR/VR, autonomous vehicles, and smart manufacturing.

- Rapid growth of 5G networks accelerating the deployment of MEC infrastructure for enhanced speed and responsiveness.

- Increasing adoption of IoT devices requiring localized data processing to reduce bandwidth load and improve operational efficiency.

- Expansion of smart city initiatives leveraging edge computing for traffic analytics, surveillance, and public safety applications.

- Growing need for optimized content delivery and network performance improvements through edge-based caching.

- Rising use of MEC in telecom networks to enhance Quality of Service (QoS) and customer experience.

- Adoption of AI and machine learning at the edge enabling intelligent, real-time decision-making for enterprise applications.

Industry Developments

- Deployment of 5G-enabled MEC platforms by telecom operators to support real-time communication and mission-critical services.

- Partnerships between cloud providers and telecom companies to integrate edge computing with cloud-native architectures.

- Launch of edge-native AI services enabling predictive maintenance, video analytics, and industrial automation.

- Introduction of multi-access edge computing solutions for enterprise private networks, especially in manufacturing and logistics.

- Growth in deployment of micro data centers to support edge workloads and reduce dependency on centralized cloud infrastructure.

- Standardization efforts by ETSI to enhance interoperability and security across MEC platforms.

- Investments in edge security solutions to protect distributed edge nodes from cyber threats and data breaches.

Regional Insights

North America - 40% driven by "strong 5G rollout, high investment in edge infrastructure, and early adoption of IoT and AI-based enterprise applications."

Europe - 30% supported by "growing deployment of MEC in telecom networks, rising industrial automation, and strict data localization requirements."

Asia Pacific - 25% fueled by "rapid expansion of 5G networks, increased smart city development, and heavy investments in edge computing by telecom and cloud providers."

Latin America - 3% driven by "growing adoption of digital services, increasing mobile data traffic, and emerging interest in edge-enabled applications."

Middle East & Africa - 2% supported by "smart infrastructure projects, rising deployment of 5G networks, and demand for low-latency edge applications in government and enterprises."

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Key Segments

By Component
Software includes network management platforms, edge orchestration tools, analytics engines, and virtualization solutions that enable real-time data processing and intelligent decision-making at the network edge. Hardware comprises edge servers, gateways, sensors, and connected devices that support low-latency computing, data collection, and localized processing. Services encompass deployment, integration, consulting, maintenance, and managed services that help organizations optimize edge infrastructure and ensure seamless operations.

By Organization Size
Large Enterprises adopt edge technologies to handle massive data volumes, enhance automation, and improve operational efficiency across distributed environments. SMEs leverage cost-effective and scalable edge solutions to accelerate digital transformation, support connected operations, and improve business agility without heavy IT investments.

By Application
Smart Cities use edge computing for traffic control, public safety, environmental monitoring, and real-time urban management. IoT applications depend on edge processing to reduce latency, enable instant device-to-device communication, and enhance automation across industries. Content Delivery leverages edge networks to speed up streaming, reduce bandwidth load, and improve user experience. Augmented Reality relies on edge computing for low-latency rendering, immersive interactions, and real-time environment mapping. Others include robotics, industrial automation, and remote monitoring solutions supported by edge intelligence.

By End-User
Manufacturing utilizes edge computing for predictive maintenance, automated production, and real-time quality monitoring. Energy & Utilities deploy edge systems for grid optimization, equipment monitoring, and improved operational resilience. Retail & Consumer Goods benefit from edge-powered inventory tracking, personalized customer experiences, and in-store analytics. Media & Entertainment use edge networks to enable faster content delivery, immersive media, and live streaming. Transportation & Logistics adopt edge technologies for fleet management, route optimization, autonomous systems, and cargo tracking. Others include healthcare, agriculture, and telecommunications leveraging edge computing for enhanced performance and efficiency.

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