PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 1877434
PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 1877434
Edge computing market size was valued at US$ 23,567.98 Million in 2024, expanding at a CAGR of 33.5% from 2025 to 2032.
Edge computing moves compute, storage, and analytics from centralized clouds to infrastructure near data sources-devices, gateways, and micro data centers, enabling real-time processing, local AI inference, and bandwidth savings. By resolving latency, privacy, and connectivity challenges, it complements cloud platforms for time-sensitive apps, offline resilience, and cost-efficient data reduction. Industries like manufacturing, transportation, healthcare, and retail use edge architectures to deliver faster insights and improve operational reliability. and enhance user experiences. Besides, edge enables deterministic control loops, on-site AI for anomaly detection, and predictive maintenance that reduce downtime and improve OEE (ideal for manufacturing lines and oil & gas plants).
Edge Computing Market- Market Dynamics
Increasing reliance on real-time analytics and rising adoption of 5G to propel market demand
Rapid 5G adoption is a major catalyst for the growth of the edge computing market. As per the International Telecommunication Unit (ITU), global mobile data traffic is expected to rise from about 160 EB/month in 2023 to 563 EB/month by 2029, driven by 5G expansion. As 5G's share of mobile data traffic grows (ITU estimates it will jump to 76% by 2029), edge computing becomes essential to process data near the source. Simultaneously, governments globally are pushing digital transformation through national strategies: in the Organization for Economic Co-operation and Development (OECD), nearly 90% of countries now have or are developing a dedicated digital strategy in 2023, with AI and 5G being the most cited technologies in their policy initiatives. This policy momentum fuels public-private investment in edge infrastructure.
Moreover, massive IoT proliferation combined with latency-sensitive use cases such as autonomous vehicles, AR/VR, and smart manufacturing is pushing organizations to deploy compute at the edge. The need for real-time analytics, data sovereignty and security, especially for regulated industries, is another powerful driver. Local processing helps meet compliance while reducing backhaul costs and preserving privacy.
The Global Edge Computing Market is segmented on the basis of Component, Organization Size, Deployment, Application, Vertical, and Region.
The market is divided into four categories based on Component: software, hardware, services, and edge managed platforms. Hardware currently represents the most significant share, supported by rising deployments of edge servers, gateways, modules, and ruggedized devices. According to the U.S. Federal Communications Commission (FCC), global network infrastructure investments surpassed $520 billion in 2023, a substantial portion of which involved compute and access equipment powering edge environments. This underscores continued demand for physical edge nodes as IoT devices, sensors, and 5G radios proliferate. Yet, as adoption matures, software and edge managed platforms may emerge as the fastest-growing segments. Enterprises increasingly require orchestration, AI inferencing frameworks, containerized edge applications, and policy automation to manage distributed workloads.
The market is divided into several categories based on Application: industrial internet of things (IIoT), content delivery, remote monitoring, video analytics, connected cars, AR/VR, smart grids, traffic management, critical infrastructure monitoring, asset tracking, smart cities, security & surveillance, and others. IIoT remains the most widely deployed application, driven by factory automation, predictive maintenance, and real-time machine data processing. According to the U.S. National Institute of Standards and Technology (NIST), over 40% of industrial data must be processed within milliseconds to maintain operational continuity, reinforcing the need for edge-based architectures. However, as global data consumption surges and latency-sensitive services scale, video analytics and content delivery are gaining rapid traction. The International Telecommunication Union (ITU) reports that global IP video traffic is projected to exceed 4.8 zettabytes annually by 2026, significantly increasing demand for localized processing and caching to reduce backhaul congestion.
Edge Computing Market- Geographical Insights
The global edge computing landscape shows diverse growth patterns influenced by telecom rollout, digital transformation policies, and regional infrastructure maturity. Asia-Pacific remains the largest market, hosting the majority of global 5G users and device endpoints. The ITU confirms that APAC accounts for over 55% of global 5G subscriptions in 2024, driving exceptional demand for edge nodes to support mobile broadband, industrial automation, and cloud gaming. Conversely, North America is projected to grow at significant rate, fueled by aggressive 5G expansion, hyperscaler edge deployments, and federal incentives. The U.S. CHIPS and Science Act has already mobilized $280 billion in funding, accelerating digital infrastructure and edge-enabled manufacturing ecosystems. Meanwhile, Europe, Latin America, and the Middle East & Africa are emerging growth contributors. Europe's edge demand is supported by digital sovereignty initiatives and the EU's target of doubling semiconductor capacity by 2030. Latin America benefits from expanding cloud regions and telecom modernization, while MEA markets leverage smart-city investments and IoT-driven utilities.
China Edge Computing Market- Country Insights
China stands at the center of the global digital infrastructure build-out, making it one of the most influential markets for edge computing adoption. The country's rapid expansion of 5G, IoT devices, and industrial automation has accelerated the need for processing workloads closer to endpoints. According to the Ministry of Industry and Information Technology (MIIT), China deployed 4.39 million 5G base stations by early 2025, enabling ultra-low-latency networks essential for large-scale edge workloads. IDC reports that China's edge cloud market reached RMB 54.8 billion in the first half of 2024, reflecting a 21% year-on-year surge driven by enterprise demand, smart manufacturing, and real-time data processing in mission-critical operations.
The country's strategic national programs-such as the "Eastern Data, Western Computing" initiative-continue to reinforce its edge ecosystem. These hubs support distributed computing models and allow industries such as autonomous vehicles, smart cities, surveillance systems, and energy grids to run latency-sensitive applications at scale. A growing domestic ecosystem of edge hardware, gateways, AI accelerators, and industrial IoT platforms further strengthens China's position.
Growing reliance on real-time analytics, AI workloads, and low-latency digital services continues to accelerate demand for distributed compute architectures. The competitive landscape features major technology leaders including AWS, Microsoft, Google, Cisco, HPE, Dell Technologies, IBM (Red Hat), and Intel, all expanding ecosystem partnerships, hybrid cloud capabilities, and edge-native platforms. Vendors increasingly focus on scalable edge-to-cloud orchestration, open frameworks, hardware-software integration, and industry-specific solutions to strengthen their presence. Rising investments in private 5G, secure edge infrastructure, and AI acceleration further intensify competition across global enterprises.
In February 2025, OTAVA, a leader in secure multi-cloud services, partnered with Scale Computing, a pioneer in edge and hyperconverged infrastructure, to offer integrated edge computing solutions. The collaboration brings Scale's virtualization, servers, storage, and backup/recovery into OTAVA's cloud and data protection portfolio, enabling businesses to manage highly distributed applications reliably, securely and cost-efficiently.
In May 2025, Qualcomm, a leading global semiconductor and connectivity company, partnered with e& (UAE) to drive enterprise AI at the edge across 5G, industrial IoT, and smart mobility. This collaboration aimed to deliver AI-enabled 5G edge gateways, XR devices powered by Snapdragon, and generative AI via on-device large language models, aimed at transforming sectors like government, transport, manufacturing, and safety.