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Global Edge Computing Market - Size, Share, Industry Trends, and Growth Forecasts, 2026-2031 | 5G and Edge AI Drive 13.24% CAGR to USD 479.97 Billion

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AMZN AWS Wavelength is extending hyperscaler APIs into carrier facilities, supporting sub-10-millisecond latency and reducing reliance on proprietary edge SDKs. This is a key growth area for AWS in the edge computing market. MSFT Microsoft's Azure Edge Zones are expanding and promote unified management from cloud environments to factory operations, indicating a strong push into the edge computing market. This is a significant driver for their cloud services. CSCO Cisco is mentioned as a vendor in the edge computing market, but the article does not provide specific details on their performance or strategic positioning within this segment. IBM IBM is listed as a company profile in the context of the edge computing market. However, the article does not offer specific details about their current performance or future outlook in this sector. HPE HPE's GreenLake contracts are highlighted for reducing capacity-planning risk and accelerating AI inspection deployments, indicating positive traction and strategic alignment with edge computing trends. DELL Dell reported a 19% increase in edge-infrastructure revenue with a high services attach rate, demonstrating strong growth and customer adoption in the edge computing market. GOOG Google Distributed Cloud is extending hyperscaler APIs into carrier facilities, supporting low latency and reducing reliance on proprietary edge SDKs, positioning Alphabet for growth in the edge market. INTC Intel is mentioned as a key player in the edge computing market, particularly with declining ASIC and SoC costs enabling on-premise AI inference. However, specific performance metrics or growth drivers are not detailed. NVDA NVIDIA is listed as a company profile in the edge computing market. While their AI capabilities are relevant, the article doesn't provide specific details on their edge performance or growth. VZ Verizon is mentioned for early standalone 5G launches in North America, which supports edge computing. This indicates a positive contribution to the market's growth drivers. T AT&T is mentioned for early standalone 5G launches in North America, which is a key driver for edge computing adoption and growth. LUMN Lumen Technologies is listed as a company profile in the edge computing market. The article does not provide specific details regarding their performance or strategic focus in this area.

Global Edge Computing Market - Size, Share, Industry Trends, and Growth Forecasts, 2026-2031 | 5G and Edge AI Drive 13.24% CAGR to USD 479.97 Billion Dublin, Nov. 04, 2026 (GLOBE NEWSWIRE) -- "Edge Computing - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026-2031)" has been added to ResearchAndMarkets.com's offering.

Edge Computing Market to Reach USD 479.97 Billion by 2031 as 5G and AI Adoption Accelerate

The global edge computing market reached USD 257.76 billion in 2026 and is projected to advance to USD 479.97 billion by 2031, registering a 13.24% CAGR. Market growth is being driven by the shift toward distributed processing architectures that reduce round-trip latency, support data-sovereignty requirements, and enable real-time analysis closer to connected devices.

Standalone 5G roll-outs, data-localization mandates, and the rapid expansion of AI-enabled endpoints are concentrating computing demand at the network perimeter. At the same time, declining ASIC and system-on-chip costs are making on-premise AI inference more accessible across manufacturing, telecommunications, healthcare, energy, financial services, retail, and other data-intensive industries.

5G Roll-Out Supports Ultra-Low-Latency Edge Applications

Standalone 5G cores increasingly route traffic to base-station micro data centers, reducing round-trip latency to below 10 milliseconds. Asian operators had installed 1.8 million edge-enabled 5G sites by mid-2025, creating infrastructure for factory automation, remote-surgery pilots, connected mobility, gaming, and industrial control.

European adoption remains more gradual because many carriers continue to rely on 4G cores, restricting the capabilities of multi-access edge compute despite extensive radio coverage. However, spectrum licenses in the 3.5 GHz band increasingly include edge-hosting clauses that encourage telecommunications providers to colocate computing resources with radio infrastructure. Equipment vendors are also combining orchestration software with radios, allowing enterprises to deploy container workloads through established cloud APIs.

IoT Growth Moves Data Processing Closer to Connected Assets

Enterprise IoT connections exceeded 19 billion in 2025, generating exabyte-scale telemetry that increases backhaul congestion and cloud egress costs. Automotive plants can produce terabytes of operational data each day, although only a limited portion requires long-term storage. This imbalance is accelerating investment in on-site gateways and edge analytics.

Local processing helps organizations reduce cloud expenses, strengthen operational control loops, and improve equipment uptime. IEC 62443 security guidelines also support local anomaly detection to protect operational technology from network disruptions. As AI models become optimized for watt-scale chips, businesses can transmit actionable insights instead of raw data. This trend is redirecting spending from centralized servers toward ruggedized edge nodes, fleet-management software, and cloud-connected orchestration platforms.

Cybersecurity Challenges Could Restrain Adoption

The expansion of distributed edge infrastructure increases the number of potential network entry points. Mirai variants have already exploited weak credentials on industrial controllers to conduct DDoS campaigns. Although NIST's Cybersecurity Framework 2.0 includes edge-specific controls, many small and medium enterprises lack the personnel needed to manage secure boot, certificate rotation, and microsegmentation.

Firmware refresh cycles can extend from five to seven years, leaving devices exposed after new vulnerabilities are identified. Supply-chain directives increasingly require signed firmware, but enforcement remains inconsistent outside critical infrastructure. Insurance premiums for edge deployments rose 12% in 2025 as providers accounted for growing breach risks. Automated remediation, continuous monitoring, and stronger baseline protection will be essential to maintaining market momentum.

Additional factors influencing the edge computing market include:

Services and Edge-Native Software Gain Market Share

Hardware accounted for 47.13% of the edge computing market in 2025, but services revenue is positioned to outpace appliance sales as customers shift capital spending toward operational expenditure models. Managed services are forecast to grow at a 13.87% CAGR through 2031, supported by hyperscaler offerings that combine computing, orchestration, and security through subscription pricing.

Dell reported a 19% increase in edge-infrastructure revenue, while its services attach rate reached 68% as customers sought lifecycle management capabilities. Hewlett Packard Enterprise's GreenLake contracts use workload-based billing to reduce capacity-planning risk and accelerate AI inspection deployments in factories. As hardware commoditization and ODM competition place pressure on server pricing, vendors are prioritizing software, managed services, and professional expertise.

Edge-native software is projected to grow at a 13.45% CAGR through 2031. Red Hat OpenShift and SUSE Rancher are competing for enterprise control-plane deployments, while open-source K3s serves resource-constrained environments. Capgemini Engineering recorded a 34% increase in OT-edge engagements in 2024, reflecting rising demand for specialized integration of industrial processes and microservice architectures.

Cloud-Connected and Hybrid Deployments Lead Growth

Cloud-connected installations represented 58.19% of the edge computing market in 2025 and are expected to expand at a 13.61% CAGR through 2031. AWS Wavelength, Azure Edge Zones, and Google Distributed Cloud are extending hyperscaler APIs into carrier facilities, supporting sub-10-millisecond latency while reducing reliance on proprietary edge SDKs. Microsoft has expanded Azure Edge Zones to 47 metro areas and promotes unified management from cloud environments to factory operations.

On-premise deployments remain important in regulated industries where external data transit is restricted, including pharmaceutical records, PCI-DSS card data, and safety-critical automation. Hybrid architectures combine gateways behind corporate firewalls with cloud-managed configuration, balancing data residency with operational agility. EU Data Act portability requirements are reinforcing this approach by encouraging switching readiness and adoption of open Kubernetes platforms.

Regional Edge Computing Market Outlook

North America accounted for 33.91% of global spending in 2025, supported by hyperscaler infrastructure and early standalone 5G launches from Verizon and AT&T. The United States hosts 108 AWS Wavelength zones and 23 Azure Edge Zones. Canada is expanding multi-access edge compute for industrial IoT at resource-extraction sites, while Mexican factories are adopting edge-based quality inspection under nearshoring incentives associated with the T-MEC accord.

Asia-Pacific is forecast to record the fastest regional growth, advancing at a 14.21% CAGR through 2031. China Mobile's 1.8 million edge-enabled 5G base stations provide a substantial foundation for deployment. India's Digital India initiative has identified 100 smart cities for edge-powered municipal services, while Japan, South Korea, Southeast Asia, and Australia are investing in autonomous vehicles, manufacturing, telecommunications, and remote mining applications.

Europe represented approximately 24% of global spending in 2025, supported by EU Data Act sovereignty requirements and 1,836 documented nodes. Germany, France, and the Netherlands host 61% of these installations. Demand is also advancing through smart-city projects in Saudi Arabia and the UAE, industrial automation in Brazil, and telecommunications modernization in Argentina. Government initiatives, including the U.S. CHIPS and Science Act and the EU Digital Decade target of 10,000 nodes by 2030, are expected to sustain long-term edge computing investment.

Key Topics Covered:

1 INTRODUCTION

1.1 Study Assumptions and Market Definition

1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

4.1 Market Overview

4.2 Market Drivers

4.2.1 5G Roll-Out Catalysing Ultra-Low-Latency Use-Cases

4.2.2 Proliferation of IoT Endpoints and Data Gravity at the Edge

4.2.3 Regulatory Data-Sovereignty Mandates (e.g., EU Data Act)

4.2.4 Declining ASIC/SoC Costs for Edge Inference Accelerators

4.2.5 Energy-Efficiency Targets Driving Micro-Data-Centres (ESG)

4.2.6 Rise of RISC-V and Chiplet Architectures Enabling Custom Edge Silicon

4.3 Market Restraints

4.3.1 Cyber-Attack Surface Expansion at Distributed Nodes

4.3.2 Skills Gap in Deploying and Managing Heterogeneous Edge Stacks

4.3.3 Inter-Operability and Standards Fragmentation (MEC, Open-RAN, LF Edge)

4.3.4 Inefficient ROI for Brown-Field Industrial Retro-Fits

4.4 Industry Value Chain Analysis

4.5 Regulatory Landscape

4.6 Technological Outlook

4.7 Porter's Five Forces Analysis

4.7.1 Bargaining Power of Suppliers

4.7.2 Bargaining Power of Buyers

4.7.3 Threat of New Entrants

4.7.4 Threat of Substitutes

4.7.5 Intensity of Competitive Rivalry

4.8 Impact of Macroeconomic Factors on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

5.1 By Component

5.1.1 Hardware

5.1.2 Software

5.1.3 Services

5.2 By Deployment Mode

5.2.1 On-Premise

5.2.2 Cloud

5.3 By End-User Industry

5.3.1 Manufacturing and Industrial

5.3.2 Energy and Utilities

5.3.3 Healthcare and Life Sciences

5.3.4 Retail and E-Commerce

5.3.5 Banking, Financial Services, and Insurance (BFSI)

5.3.6 Telecommunications and IT

5.3.7 Other End-User Industries

5.4 By Application

5.4.1 Industrial IoT and Predictive Maintenance

5.4.2 Video Analytics and Surveillance

5.4.3 Autonomous Vehicles and Drones

5.4.4 Other Applications

5.5 By Organisation Size

5.5.1 Large Enterprises

5.5.2 Small and Medium Enterprises

5.6 By Geography

5.6.1 North America

5.6.1.1 United States

5.6.1.2 Canada

5.6.1.3 Mexico

5.6.2 Europe

5.6.2.1 Germany

5.6.2.2 United Kingdom

5.6.2.3 France

5.6.2.4 Russia

5.6.2.5 Rest of Europe

5.6.3 Asia-Pacific

5.6.3.1 China

5.6.3.2 Japan

5.6.3.3 India

5.6.3.4 South Korea

5.6.3.5 Australia

5.6.3.6 Rest of Asia-Pacific

5.6.4 Middle East and Africa

5.6.4.1 Middle East

5.6.4.1.1 Saudi Arabia

5.6.4.1.2 United Arab Emirates

5.6.4.1.3 Rest of Middle East

5.6.4.2 Africa

5.6.4.2.1 South Africa

5.6.4.2.2 Egypt

5.6.4.2.3 Rest of Africa

5.6.5 South America

5.6.5.1 Brazil

5.6.5.2 Argentina

5.6.5.3 Rest of South America

6 COMPETITIVE LANDSCAPE

6.1 Market Concentration

6.2 Strategic Moves

6.3 Market Share Analysis

6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as Available, Strategic Information, Market Rank/Share for Key Companies, Products and Services, Recent Developments)

6.4.1 Amazon Web Services, Inc.

6.4.2 Microsoft Corporation

6.4.3 Cisco Systems Inc.

6.4.4 Huawei Technologies Co. Ltd.

6.4.5 IBM Corporation

6.4.6 Hewlett Packard Enterprise (HPE)

6.4.7 Dell Technologies Inc.

6.4.8 Google LLC (Alphabet Inc.)

6.4.9 Intel Corporation

6.4.10 NVIDIA Corporation

6.4.11 Juniper Networks Inc.

6.4.12 Advantech Co. Ltd.

6.4.13 ADLINK Technology Inc.

6.4.14 Schneider Electric SE

6.4.15 Siemens AG

6.4.16 Capgemini Engineering

6.4.17 MachineShop Inc.

6.4.18 Vapor IO Inc.

6.4.19 Litmus Automation

6.4.20 FogHorn Systems

6.4.21 Lumen Technologies Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

7.1 White-Space and Unmet-Need Assessment

For more information about this report visit https://www.researchandmarkets.com/r/gqx0da

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