Edge Computing Market Size and Share

Edge Computing Market Analysis by Mordor Intelligence
The edge computing market size reached USD 257.76 billion in 2026 and is projected to advance to USD 479.97 billion by 2031 at a 13.24% CAGR, underscoring a decisive pivot toward distributed processing architectures that minimize round-trip latency and comply with emerging data-sovereignty rules. 5G standalone roll-outs, jurisdictional data-localization mandates, and an explosion of AI-enabled endpoints concentrate demand at the network perimeter, while declining ASIC and system-on-chip prices lower the entry barrier for on-premise inference. Hyperscalers extend public-cloud control planes into carrier facilities and enterprise campuses, blending cloud convenience with local processing. Industrial IoT installs, real-time clinical diagnostics, and autonomous systems fuel near-term spending, whereas carbon-reduction targets and chiplet-based custom silicon shape longer-run innovation. Competitive advantage gravitates to providers that orchestrate heterogeneous nodes through a single Kubernetes-native plane and embed zero-trust security from silicon to workload.
Key Report Takeaways
- By component, hardware captured 47.13% of the edge computing market share in 2025, whereas services are forecast to expand at a 13.87% CAGR through 2031.
- By deployment mode, cloud models held 58.19% of the revenue share in 2025, with on-premises forecast to grow at a 13.61% CAGR to 2031.
- By end-user industry, manufacturing accounted for 22.58% of the edge computing market size in 2025, while healthcare is advancing at a 14.66% CAGR to 2031.
- By application, video analytics led the edge computing market with 28.71% of the market share in 2025, and autonomous vehicles are set to accelerate at a 14.11% CAGR through 2031.
- By organisation size, large enterprises dominated with 63.44% of deployments in 2025, whereas SMEs are growing at a 13.69% CAGR through 2031.
- By geography, North America accounted for 33.91% of spending in 2025, while Asia-Pacific is expanding at a 14.21% CAGR through 2031.
Note: Market size and forecast figures in this report are generated using Mordor Intelligence’s proprietary estimation framework, updated with the latest available data and insights as of January 2026.
Global Edge Computing Market Trends and Insights
Drivers Impact Analysis
| Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| 5G Roll-Out Catalysing Ultra-Low-Latency Use-Cases | +2.8% | Global, with Asia-Pacific leading standalone deployments and Europe lagging | Medium term (2-4 years) |
| Proliferation of IoT Endpoints and Data Gravity at the Edge | +3.1% | Global, concentrated in manufacturing hubs across Asia-Pacific and North America | Long term (≥ 4 years) |
| Regulatory Data-Sovereignty Mandates (e.g., EU Data Act) | +1.9% | Europe primary, spillover to Middle East and Africa through GDPR-equivalent frameworks | Short term (≤ 2 years) |
| Declining ASIC/SoC Costs for Edge Inference Accelerators | +2.3% | Global, with supply-chain concentration in Taiwan and South Korea | Medium term (2-4 years) |
| Energy-Efficiency Targets Driving Micro-Data-Centres (ESG) | +1.4% | Europe and North America driven by carbon-neutrality commitments | Long term (≥ 4 years) |
| Rise of RISC-V and Chiplet Architectures Enabling Custom Edge Silicon | +1.7% | Asia-Pacific and North America, led by semiconductor design hubs | Long term (≥ 4 years) |
| Source: Mordor Intelligence | |||
5G Roll-Out Catalysing Ultra-Low-Latency Use-Cases
Standalone 5G cores now steer traffic to base-station micro data centers, trimming round-trip latency below 10 milliseconds.[1]Ericsson, “Ericsson Mobility Report November 2024,” ericsson.com Asian operators had installed 1.8 million edge-enabled 5G sites by mid-2025, enabling factory automation and remote-surgery pilots. Europe shows slower uptake because many carriers still depend on 4G cores, limiting multi-access edge compute despite high radio coverage. Spectrum licenses in the 3.5 GHz band now include edge-hosting clauses, pushing telcos to colocate compute with radios. Equipment vendors bundle orchestration software with radios, letting enterprises deploy container workloads through familiar cloud APIs. These conditions make 5G the primary on-ramp for ultra-reliable low-latency edge applications across mobility, gaming, and industrial control.
Proliferation of IoT Endpoints and Data Gravity at the Edge
Enterprise IoT connections exceeded 19 billion in 2025, producing exabyte-scale telemetry that swamps backhaul links and raises egress fees.[2]Verizon Communications, “State of IoT 2025,” verizon.com A single automotive plant now streams terabytes daily, yet only a fraction of that data merits long-term storage, pushing analytics to on-site gateways. Edge processing lowers cloud bills and tightens control loops, boosting equipment uptime by double-digit percentages. IEC 62443 security guidelines further mandate local anomaly detection to shield operational technology from network faults. As AI models compress onto watt-scale chips, companies ship insights rather than raw data, reinforcing the gravity of the pull toward edge locations. This dynamic reallocates budget from central servers to ruggedized nodes and fleet-management software.
Regulatory Data-Sovereignty Mandates (EU Data Act)
The EU Data Act, enforceable since September 2025, bans lock-in clauses and grants emergency access rights, effectively requiring that personal and industrial data stay inside member-state borders.[3]European Commission, “Regulation (EU) 2023/2854 (Data Act),” europa.eu Financial, healthcare, and public-sector workloads now anchor in regional micro data centers to pass audits without rewriting applications. EU-funded research counted 1,836 active edge nodes in 2024, triple the 2022 level, with Germany, France, and the Netherlands hosting most deployments. Saudi Arabia’s Personal Data Protection Law and India’s Digital Personal Data Protection Act replicate similar rules, exporting the sovereignty effect beyond Europe. ISO 27001 auditors now expect proof of local log retention, tying certification to edge architectures. Compliance pressure, therefore, transforms what began as a privacy concern into a direct mandate for infrastructure.
Declining ASIC/SoC Costs for Edge Inference Accelerators
Prices for AI-optimized ASICs and system-on-chip modules have dropped by more than 40% since 2022, enabling fanless edge servers priced under USD 500 to deliver hundreds of TOPS on-site. Intel’s Xeon D-3000 integrates AI engines that boost inference speed while reducing power draw by 40% relative to prior generations. Google TPUs moved off cloud shelves and into Advantech gateways, cutting the cost per million operations to 2 cents. RISC-V chiplets give Asian manufacturers a sanctions-proof path to custom silicon, broadening supplier choice and intensifying price competition. Lower hardware costs shift ROI calculations in favor of distributing models across many small sites rather than a single big data center. This silicon deflation fuels a virtuous cycle, where cheaper compute invites new edge workloads, which in turn further raise chip volumes.
Restraints Impact Analysis
| Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Cyber-Attack Surface Expansion at Distributed Nodes | -1.8% | Global, with heightened risk in under-regulated markets lacking cybersecurity frameworks | Short term (≤ 2 years) |
| Skills Gap in Deploying and Managing Heterogeneous Edge Stacks | -1.5% | Global, acute in Europe and emerging Asia-Pacific markets with limited cloud-native talent pools | Medium term (2-4 years) |
| Inter-Operability and Standards Fragmentation (MEC, Open-RAN, LF Edge) | -0.9% | Global, particularly affecting multi-vendor telco deployments | Medium term (2-4 years) |
| Inefficient ROI for Brown-Field Industrial Retro-Fits | -1.1% | North America and Europe, where legacy OT infrastructure dominates manufacturing | Long term (≥ 4 years) |
| Source: Mordor Intelligence | |||
Cyber-Attack Surface Expansion at Distributed Nodes
Each edge gateway adds another ingress point, and Mirai variants already exploit weak credentials on industrial controllers for DDoS campaigns. NIST’s Cybersecurity Framework 2.0 now includes edge-specific controls, yet many SMEs lack the staff to implement secure boot, certificate rotation, and microsegmentation. Firmware refresh cycles stretch five to seven years, leaving devices exposed long after new vulnerabilities appear. Supply-chain directives require signed firmware, but enforcement outside critical infrastructure sectors remains patchy. Insurance premiums for edge deployments climbed 12% in 2025 as carriers priced in the likelihood of breaches. Without automated remediation and stronger baseline hardening, security fears could deter late adopters.
Skills Gap in Deploying and Managing Heterogeneous Edge Stacks
Only 15% of cloud-certified professionals report confidence in networking, real-time OS, and Kubernetes fleet management, creating a talent choke point. The Linux Foundation tallied just 18,000 new edge-specific certificates in 2024, compared with 450,000 general cloud awards, underscoring the mismatch. Hyperscaler courses address basics but fall short on OT protocols and safety standards that factories demand. Limited expertise inflates deployment times and drives up managed-service fees, eroding ROI for small and midsize firms. Universities are revising curricula, yet three-year degree cycles lag 18-month hardware refreshes. Unless automation frameworks mature, the skills deficit will remain a primary brake on market expansion.
Segment Analysis
By Component: Services Outpace Hardware Through Recurring Edge-as-a-Service Models
Services revenue is on track to eclipse appliance sales as customers shift capital outlays into operational budgets. In 2025, hardware still accounted for 47.13% of the edge computing market, yet managed services are forecast to grow at 13.87% annually through 2031, supported by hyperscaler bundles that fuse compute, orchestration, and security under subscription pricing. Dell noted a 19% jump in edge-infrastructure revenue, but its services attach rate hit 68% as clients demanded lifecycle management. Hewlett Packard Enterprise’s GreenLake contracts, billed per workload, eliminate capacity-planning risk and improve time-to-value for factories retrofitting AI inspection. Hardware commoditization persists as DRAM and NAND costs fluctuate; ODM rivalry tempers server ASPs, prompting vendors to focus on software differentiation and professional services.
Edge-native software, including slim Kubernetes distributions and eventually consistent databases, grows at 13.45% through 2031. Red Hat OpenShift and SUSE Rancher square off for enterprise control-plane dominance, while open-source K3s captures resource-constrained deployments. System integrators such as Capgemini Engineering saw OT-edge engagements rise 34% in 2024, reflecting demand for domain expertise to translate shop-floor processes into microservice architectures. Overall, services convert one-time margin into multiyear cash flows, positioning vendors to capture long-run value once hardware marginal gains plateau.

Note: Segment shares of all individual segments available upon report purchase
By Deployment Mode: Cloud Models Dominate Through Distributed Infrastructure Extensions
Cloud-connected installations commanded 58.19% of the edge computing market share in 2025 and will expand at a 13.61% CAGR through 2031 as AWS Wavelength, Azure Edge Zones, and Google Distributed Cloud push hyperscaler APIs into carrier facilities. These offerings deliver sub-10-millisecond latency without demanding proprietary edge SDKs, lowering developer friction. Microsoft expanded Azure Edge Zones to 47 metro areas and publicly promotes single-control-plane management from the cloud to the factory floor.
On-premise deployments persist in regulated verticals that bar external data transit pharma batch records, PCI-DSS card data, and safety-critical automation. Even there, organizations increasingly adopt cloud-native orchestration to avoid divergent toolchains. Hybrid topologies blend gateway hardware installed behind corporate firewalls with cloud-managed configuration, striking a balance between data residency and operational agility. EU Data Act portability clauses accelerate this pattern because enterprises must demonstrate switching readiness, favoring open Kubernetes over proprietary edge stacks.
By End-User Industry: Healthcare Surges While Manufacturing Anchors Installed Base
Manufacturing retained a 22.58% share of the edge computing market in 2025, leveraging digital twins and predictive maintenance to reduce downtime. Yet healthcare is the runway for the highest incremental spend, racing ahead at a 14.66% CAGR into 2031. The U.S. FDA cleared AI-enabled imaging devices that require sub-50-millisecond inference at bedside for HIPAA compliance, steering hospital IT budgets to edge nodes.
Energy utilities leverage edge analytics to improve grid stability, while retailers embrace computer vision at checkout to reduce labor costs. BFSI firms deploy algorithmic fraud detection at the branch level because microsecond latency yields tangible savings in chargebacks. Telcos are both sellers and buyers of edge, embedding compute in mobile cores while monetizing private-network slices. Regulatory frameworks ranging from ISO 27001 to local privacy laws shape adoption cadence across all verticals, but a common denominator is deterministic latency that centralized clouds cannot meet.
By Application: Autonomous Systems Accelerate While Video Analytics Leads Installed Base
Video analytics controlled 28.71% of 2025 revenue, serving smart-city surveillance, retail footfall tracking, and infrastructure inspection. The autonomous vehicle and drone segment, however, is slated for 14.11% CAGR growth, buoyed by beyond-visual-line-of-sight approvals from the U.S. FAA and EU type-approval bodies. Tesla’s Hardware 4 platform processes 300 TOPS within the vehicle, highlighting the pivot to in-situ AI that slashes dependence on cellular coverage.
Industrial IoT predictive maintenance, augmented-reality remote assistance, and edge CDN workloads round out demand. Smart-city projects such as Singapore’s Smart Nation deploy 12,000 edge cameras for traffic optimization, anonymizing faces on-device to comply with GDPR. Retailers like Amazon Go and Walmart embed edge compute to drive cashier-less stores. Each use-case demonstrates the “process-then-store” ethos: analytics executes locally, metadata alone migrates to long-term storage.

Note: Segment shares of all individual segments available upon report purchase
By Organisation Size: SMEs Adopt Edge-as-a-Service While Enterprises Build Private Infrastructure
Large enterprises owned 63.44% of deployments in 2025, enabled by capital budgets and cross-disciplinary talent. Goldman Sachs colocated edge servers inside exchanges to shave microseconds off trade execution, exemplifying latency arbitrage. SMEs, historically priced out by six-figure capex, now tap consumption-based bundles. AWS Outposts 1U ships at roughly USD 5,000 per unit, transforming edge acquisition into an operating expense line item. Microsoft Azure Stack HCI appliances arrive pre-configured, shrinking install time from weeks to hours.
Cost-benefit tipping points still favor cloud-only for low-volume workloads, but verticalized turnkey offerings, including point-of-sale, diagnostic imaging, and plant-floor analytics, blur complexity and catalyze SME uptake. Government tax incentives under Germany’s Industry 4.0 program further sweeten ROI for small manufacturers investing in edge.
Geography Analysis
North America commanded 33.91% of 2025 spending, anchored by hyperscaler footprints and early standalone 5G launches from Verizon and AT&T. The United States alone hosts 108 AWS Wavelength zones and 23 Azure Edge Zones, giving developers nationwide low-latency endpoints. Canada’s Bell and Telus added multi-access edge compute to support industrial IoT across resource-extraction sites, while Mexican factories deploy edge quality inspection under nearshoring incentives introduced by the T-MEC accord.
Asia-Pacific is forecast to expand at a 14.21% CAGR through 2031, driven by China Mobile’s 1.8 million edge-enabled 5G base stations. India’s Digital India initiative earmarked 100 smart cities for edge-powered municipal services, while Southeast Asia’s manufacturing migration is accelerating local edge adoption. Japan’s NTT Docomo and South Korea’s SK Telecom integrate edge into autonomous vehicle pilots, while Australia exploits edge compute in remote mining where satellite backhaul is constrained.
Europe held roughly 24% of global spend in 2025, buoyed by the EU Data Act’s sovereignty requirements and 1,836 documented nodes. Germany, France, and the Netherlands host 61% of these installations, covering automotive, finance, and healthcare. Smart-city mega-projects in Saudi Arabia’s NEOM and the UAE’s Dubai Smart City spearhead Middle East demand, whereas South America clusters center on Brazilian industrial automation and Argentine telecom modernization. Regional spending profiles mirror policy commitments: the U.S. CHIPS and Science Act injects USD 52 billion into domestic semiconductors, and the EU Digital Decade targets 10,000 nodes by 2030, ensuring sustained capex pipelines.

Competitive Landscape
The top three hyperscalers, AWS, Microsoft, and Google, collectively captured 42% of edge infrastructure revenue in 2025, but hardware vendors, telcos, and niche software firms fragment the remaining pool. Competitive friction centers on orchestration neutrality; enterprises insist on Kubernetes-native stacks that span on-premises gateways, carrier MEC, and public cloud regions. Vapor IO’s tower-based micro data centers, offering edge-as-a-service, and startups commercializing RISC-V silicon compete on cost and vendor lock-out avoidance.
Security capabilities are rapidly differentiating portfolios. Cisco’s USD 1.2 billion acquisition of Isovalent embeds eBPF observability into its industrial security platform, and Palo Alto Networks extends zero-trust to LTE routers. Standards divergence remains unresolved: ETSI MEC profiles, O-RAN disaggregated RAN, and Linux Foundation Edge projects prescribe overlapping APIs, forcing customers either to custom-integrate or embrace closed ecosystems.
Strategic partnerships multiply. AWS teams with Verizon and Vodafone for Wavelength zones, Microsoft aligns with AT&T and Telefónica, and Google allies with Ericsson and Nokia to market Distributed Cloud Edge. Dell, HPE, and Lenovo pre-package edge servers certified for Azure Stack HCI, speeding channel adoption. The competitive map, therefore, resembles a matrix, not a pyramid, with orchestration breadth, vertical solution depth, and security layer completeness shaping win-rates more than raw compute horsepower.
Edge Computing Industry Leaders
Amazon Web Services, Inc.
Microsoft Corporation
Cisco Systems Inc.
Huawei Technologies Co. Ltd.
IBM Corporation
- *Disclaimer: Major Players sorted in no particular order

Recent Industry Developments
- December 2025: Microsoft expanded Azure Edge Zones to 12 additional Asia-Pacific and European metros, embedding compute in carrier central offices for sub-10-millisecond latency in manufacturing hubs.
- November 2025: NVIDIA partnered with Siemens and Schneider Electric to embed Jetson Orin modules in industrial automation platforms for real-time vision.
- October 2025: AWS launched 15 new Wavelength zones across North America and Europe in collaboration with Verizon and Vodafone to support autonomous driving pilots.
- September 2025: Intel released Xeon D-3000 processors with integrated AI acceleration targeting telco MEC and private 5G.
Research Methodology Framework and Report Scope
Market Definitions and Key Coverage
Our study treats the edge computing market as the aggregated value of hardware (rugged servers, gateways, micro-data centers, and purpose-built accelerators), enabling software stacks, and managed edge services deployed within one network hop of data creation so that workloads are processed locally before optional back-haul to a core cloud. According to Mordor Intelligence, values are expressed in constant 2025 US dollars covering commercial and industrial installations across all verticals.
Scope exclusion: centralized hyperscale data-center infrastructure and consumer smartphones are kept outside the boundary because they follow different cost structures and scaling curves.
Segmentation Overview
- By Component
- Hardware
- Software
- Services
- By Deployment Mode
- On-Premise
- Cloud
- By End-User Industry
- Manufacturing and Industrial
- Energy and Utilities
- Healthcare and Life Sciences
- Retail and E-Commerce
- Banking, Financial Services, and Insurance (BFSI)
- Telecommunications and IT
- Other End-User Industries
- By Application
- Industrial IoT and Predictive Maintenance
- Video Analytics and Surveillance
- Autonomous Vehicles and Drones
- Other Applications
- By Organisation Size
- Large Enterprises
- Small and Medium Enterprises
- By Geography
- North America
- United States
- Canada
- Mexico
- Europe
- Germany
- United Kingdom
- France
- Russia
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- South Korea
- Australia
- Rest of Asia-Pacific
- Middle East and Africa
- Middle East
- Saudi Arabia
- United Arab Emirates
- Rest of Middle East
- Africa
- South Africa
- Egypt
- Rest of Africa
- Middle East
- South America
- Brazil
- Argentina
- Rest of South America
- North America
Detailed Research Methodology and Data Validation
Primary Research
Mordor analysts interviewed network operators, industrial automation integrators, chipset suppliers, and regional systems integrators across North America, Europe, and Asia-Pacific. The conversations tested adoption ceilings, 5Groll-out timing, average node-level spending, and service-pricing practices, letting us refine assumptions flagged during secondary checks.
Desk Research
We gathered foundational supply-side figures from open datasets published by bodies such as the International Telecommunication Union, 3GPP, the Federal Communications Commission, and the European Telecommunications Standards Institute, while device shipment and ASP signals came from quarterly SEC filings and D&B Hoovers extracts. Trade association white papers from the Linux Foundation Edge, semiconductor patent counts via Questel, and customs shipment data (Volza) provided additional granularity on hardware flows. News archives on Dow Jones Factiva plus peer-reviewed IEEE papers helped us trace evolving use-case penetration and pricing. These examples are illustrative; many further sources informed our desk work.
Market-Sizing & Forecasting
A top-down reconstruction begins with connected-device counts, edge workload penetration rates, and average spend per node; results are cross-checked through selective bottom-up roll-ups of vendor revenue snapshots and channel checks before final adjustment. Key variables include 5Gbase-station density shifts, industrial IoT endpoint growth, average server ASP trends, latency-sensitive workload share, and regional data-sovereignty mandates, each forecast through multivariate regression informed by our expert panel. When supplier splits are incomplete, we gap-fill using peer region benchmarks and historical uptake curves.
Data Validation & Update Cycle
Outputs pass variance screens against independent market signals, then a senior analyst review. Reports refresh every twelve months, with interim updates triggered by material events; a final pre-release sweep ensures clients receive the latest calibrated view.
Why Mordor's Edge Computing Baseline Commands Reliable Decision Confidence
Published estimates often differ because firms select unequal scopes, currencies, and refresh cadences.
Key gap drivers include whether software and managed services are counted, how aggressively 5Gtimeline scenarios are modeled, and the depth of primary validation that tempers headline growth.
Benchmark comparison
| Market Size | Anonymized source | Primary gap driver |
|---|---|---|
| USD 227.80 B (2025) | Mordor Intelligence | - |
| USD 168.40 B (2025) | Global Consultancy A | Omits edge software and services; conservative 5Grollout assumptions; limited interview backing |
| USD 33.44 B (2025) | Industry Publisher B | Counts only dedicated micro data-center hardware; excludes gateways and telco nodes |
| USD 564.56 B (2025) | Independent Research C | Bundles adjacent IoT devices and future contract value, inflating scope beyond edge infrastructure |
These contrasts show how Mordor's disciplined scoping, balanced growth scenario, and dual-sourced validation deliver a transparent baseline that decision-makers can trace to clear variables and reproduce with confidence.
Key Questions Answered in the Report
How large is the edge computing market in 2026?
The edge computing market size reached USD 257.76 billion in 2026 and is projected to climb to USD 479.97 billion by 2031.
Which segment is growing fastest within edge computing?
Autonomous vehicles and drones represent the fastest-growing application, advancing at a 14.11% CAGR as regulatory approvals expand.
Why are services outpacing hardware sales?
Enterprises prefer recurring edge-as-a-service models that bundle compute, orchestration, and security, converting capex into opex and accelerating deployment.
Which region will add the most new spending?
Asia-Pacific is forecast to post a 14.21% CAGR through 2031, powered by China’s 5G roll-out and India’s smart-city investments.
What is the top security challenge in edge deployments?
A broader cyber-attack surface emerges because each edge node can serve as an entry point, necessitating zero-trust architectures and continuous authentication.




