Edge Analytics Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

The Edge Analytics Market Report Segments the Industry Into by Deployment Type (On-Premises, and Cloud), Component (Solutions, and Services), Technology (Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, and Prescriptive Analytics), End User Industry (BFSI, IT and Telecommunication, Manufacturing, Healthcare, Retail, and Others), and Geography.

Edge Analytics Market Size and Share

Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

Compare market size and growth of Edge Analytics Market with other markets in Technology, Media and Telecom Industry

Edge Analytics Market Analysis by Mordor Intelligence

The edge analytics market size stands at USD 17.30 billion in 2025 and is on track to reach USD 52.04 billion by 2030, reflecting a 24.64% CAGR. Growth is propelled by the rapid expansion of IoT end-points, wider 5G coverage that supports low-latency data paths, and ongoing advances in AI-enabled silicon that places inference engines at the network edge. Vendors are prioritizing ruggedized micro-data centers, liquid-cooling designs, and federated learning frameworks that keep sensitive data local while still training global models. Enterprises are also integrating cloud-native orchestration tools to standardize application delivery across thousands of edge nodes, thereby compressing deployment cycles and raising ROI expectations. The edge analytics market is further influenced by regulatory drives toward data-sovereign architectures, especially in healthcare and finance where real-time decision support must coexist with strict privacy mandates.

Key Report Takeaways

  • By deployment, on-premises solutions held 56% of the edge analytics market size in 2024, whereas cloud-based deployments are advancing at a 27.5% CAGR.
  • By component, solutions commanded a 61.2% share of the edge analytics market size in 2024; services exhibit the highest projected CAGR at 29.1% to 2030.
  • By technology, descriptive analytics captured 39% revenue share in 2024; prescriptive analytics is forecast to expand at a 25% CAGR to 2030.
  • By end-user industry, manufacturing led with 28.3% revenue share in 2024; healthcare is growing fastest at a 32% CAGR through 2030.
  • By geography, North America led with 43% of edge analytics market share in 2024, while Asia Pacific is set to post the fastest 27% CAGR through 2030.

Segment Analysis

By Technology: Prescriptive Analytics Driving Strategic Value

Prescriptive engines are the fastest-advancing layer in the edge analytics market, growing at a 25% CAGR. They add decision automation to basic descriptive visibility, recommending the next best action once anomalies are detected. In 2024, descriptive modules still held 39% of revenue, but user demand has clearly pivoted toward higher-order insights that lift output and minimize risk. Edge devices now host compact reinforcement-learning agents that optimize robotics pathing on the fly, illustrating the commercial pull behind the transition.

Predictive algorithms remain a bridge between current dashboards and full automation. They enable forecast maintenance windows and inventory needs by correlating temperature spikes or traffic surges. Diagnostic analytics, though smaller, supplies root-cause clarity that prevents recurrence. Together these stacks help vendors package tiered offerings, embedding descriptive dashboards as entry points and layering prescriptive add-ons for premium subscribers. In turn, the edge analytics industry continues to mature toward outcome-based contracting.

Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

Note: Segment shares of all individual segments available upon report purchase

By Deployment Type: Hybrid Architectures Gaining Momentum

On-premises nodes accounted for 56% of the edge analytics market size in 2024. They remain the first choice for data-sensitive sectors that cannot export personally identifiable or national-security information. Hospital networks, for instance, maintain imaging servers in-house so radiologists access scans without traversing external links. However, cloud-managed edges are scaling quicker, charting a 27.5% CAGR to 2030 as providers launch regional zones that meet residency rules.

Hybrid topology is emerging as the long-term norm. Sensitive workloads infer locally while batch trend analytics run in centralized clouds overnight. Central consoles push container updates, harmonize policy, and collect aggregated insights for executive dashboards, thereby delivering control without sacrificing agility. The arrangement reduces infrastructure duplication and keeps compute near data origin, aligning with both budget and compliance targets.

By Component: Services Growth Outpacing Solutions

Hardware and software solutions formed 61.2% of 2024 revenue, underpinned by AI-capable gateways, fan-less edge servers, and lightweight inference runtimes. Vendors differentiate through ruggedization levels, GPU density, and compatibility with open-source orchestration. Nonetheless, services revenue is rising faster at 29.1% CAGR because enterprises struggle with blueprinting, roll-out, and life-cycle governance.

Consultancies design reference architectures that integrate MES, SCADA, and public cloud APIs within 90-day sprints. Managed-service providers then operate the edge fleet, perform model drift checks, and execute patching windows across thousands of locations. This recurring service layer deepens customer lock-in and shifts value capture from one-time hardware margins to multi-year contracts, a trend reshaping vendor portfolios across the edge analytics market.

Edge Analytics Market: Market Share by Component
Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

By End User Industry: Healthcare Innovations Accelerating Adoption

Manufacturers commanded 28.3% of edge analytics market share in 2024 by embedding real-time SPC charts and predictive maintenance loops on assembly lines. Output quality improved and unplanned downtime fell, generating quick paybacks that spurred further rollouts. Firms now attach power-optimized cameras that run vision models locally, classifying defects on conveyor belts without shipping frames to remote clouds.

Healthcare is the breakout growth story with a projected 32% CAGR through 2030. Bedside monitors pipe vitals to edge nodes that flag deterioration signs seconds before conventional alerts, enabling timely intervention[2] Microsoft, “Unifying on-premises, edge, and cloud data,” microsoft.com. Edge-resident image classifiers review CT scans, highlighting possible anomalies so radiologists focus on high-risk sections first. Beyond the clinic, telehealth wearables sync via 5G to neighbourhood micro-clusters, upholding privacy while allowing continuous chronic-care analytics. These use cases demonstrate how clinical outcomes and operational efficiencies converge to accelerate investment.

Geography Analysis

North America retained leadership with 43% revenue in 2024 thanks to a mature hyperscale data-center footprint and early 5G monetization strategies. Telcos widened coverage to secondary metros, letting retailers place micro-data centers closer to suburban stores. Government incentives encouraged manufacturers to adopt smart-factory programs, embedding AI-driven process control at the line edge. Privacy rulings remain receptive to innovation provided encryption and audit trails meet industry norms. Policy clarity shortens procurement cycles and underpins steady demand across healthcare, retail, and energy domains[3]Cisco Systems, “IBM and Cisco Solutions,” cisco.com.

Asia Pacific is the fastest-growing territory, forecast to log a 27% CAGR during 2025-2030. China scales provincial edge facilities that ingest sensor feeds from smart traffic lights and industrial robotics. Japan’s automotive majors deploy predictive quality loops that slice rework costs, while India's mobile operators leverage new spectrum to launch private 5G campuses for logistics parks. Diverse regulatory positions on cross-border data flows push multinationals toward localized deployments, often using open-source stacks to avoid vendor lock-in. Investments in domestic semiconductor fabs further support a self-sustaining regional supply chain and embed resilience into edge projects.

Europe shows robust but measured uptake, guided by GDPR and proposed AI liability laws. Germany pioneers Industrie 4.0 projects that retrofit heritage plants with OPC UA gateways and containerized inference, balancing innovation with risk governance. France leads smart-transport pilots where real-time video analytics on roadside units improve public-safety response times. Nordic operators prioritize green hydrogen-powered edge sites to respect ESG mandates. Standard-setting bodies collaborate on secure boot, remote attestation, and data-exchange frameworks, fostering an interoperability ethos that benefits the wider edge analytics market.

Edge Analytics Market CAGR (%), Growth Rate by Region
Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

Competitive Landscape

Global competition remains fragmented, with no supplier topping a 10% revenue slice in 2024. Mega-vendors such as Cisco, IBM, and Microsoft combine networking stacks, AI tools, and cloud extensions, appealing to enterprises that prefer single-throat accountability. Hyperscalers extend serverless functions and ML pipelines to colocation cages near population centers, lowering barriers for developers already fluent in cloud APIs. Meanwhile, industrial heavyweights like Siemens and GE Digital tailor verticalized offerings that integrate with SCADA and historian databases, providing deep domain value.

Start-ups concentrate on niche gaps such as tiny-ML model optimization or remote fleet orchestration at scale. Their agility spurs partnerships with incumbents seeking to complement portfolios without lengthy R&D cycles. Cross-industry consortiums emerge so devices authenticate once and receive signed workloads regardless of hardware brand, simplifying multi-vendor estates. The rise of open telemetry standards also reduces switching costs, encouraging healthy competition on service quality rather than proprietary lock-in.

Strategic alliances define differentiation more than feature checklists. IBM’s edge ecosystem rallies over thirty hardware and software partners who pre-integrate networking, security, and analytics components to shrink proof-of-concept timelines. Cloud providers team with telcos to embed container environments in base-band units, giving customers a one-click edge deployment option. Hardware makers embed cryptographic roots-of-trust so cloud consoles verify device integrity before offloading workloads. This orchestration-driven model accelerates adoption, deepens vendor stickiness, and steers the battlefield toward outcome-centric value propositions.

Edge Analytics Industry Leaders

  1. Cisco Systems Inc.

  2. Oracle Corporation

  3. SAS Institute Inc.

  4. IBM Corporation

  5. Apigee Corporation

  6. *Disclaimer: Major Players sorted in no particular order
Edge Analytics Market Concentration
Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.
Need More Details on Market Players and Competitors?
Download PDF

Recent Industry Developments

  • May 2025: IOTech Systems rolled out Edge Central 4.0, an open platform engineered for AI-rich industrial deployments.
  • April 2025: Consumer Edge completed its acquisition of Earnest Analytics to expand transaction and healthcare data coverage.
  • March 2025: Consumer Edge introduced Click, combining web-traffic and transaction streams for granular spend analysis.
  • January 2025: Prescient Edge Corp. acquired Edge Analytic Solutions to strengthen its defense intelligence analytics offering.

Table of Contents for Edge Analytics Industry Report

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 Proliferation of IoT end-points
    • 4.2.2 Demand for ultra-low-latency analytics
    • 4.2.3 Rapid 5G roll-out unlocking edge use-cases
    • 4.2.4 Cloud-native toolchains simplifying edge deployments
    • 4.2.5 On-device federated learning enhancing data privacy
    • 4.2.6 Liquid-cooling micro-data-centres enabling thermal-dense AI
  • 4.3 Market Restraints
    • 4.3.1 Persistent data-security & sovereignty risks
    • 4.3.2 Integration complexity with brownfield OT systems
    • 4.3.3 Scarcity of tiny-ML / edge-AI engineering talent
    • 4.3.4 ESG-driven power-cap caps on distributed compute nodes
  • 4.4 Evaluation of Critical Regulatory Framework
  • 4.5 Value Chain Analysis
  • 4.6 Technological Outlook
  • 4.7 Porter's Five Forces
    • 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 Competitive Rivalry
  • 4.8 Impact Assessment of Key Stakeholders
  • 4.9 Key Use Cases and Case Studies
  • 4.10 Impact on Macroeconomic Factors of the Market
  • 4.11 Investment Analysis

5. MARKET SEGMENTATION

  • 5.1 By Deployment Type
    • 5.1.1 On-Premises
    • 5.1.2 Cloud
  • 5.2 By Component
    • 5.2.1 Solutions
    • 5.2.2 Services
  • 5.3 By End-User Industry
    • 5.3.1 BFSI
    • 5.3.2 IT & Telecommunication
    • 5.3.3 Manufacturing
    • 5.3.4 Healthcare
    • 5.3.5 Retail
    • 5.3.6 Others
  • 5.4 By Technology
    • 5.4.1 Descriptive Analytics
    • 5.4.2 Diagnostic Analytics
    • 5.4.3 Predictive Analytics
    • 5.4.4 Prescriptive Analytics
  • 5.5 By Geography
    • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
    • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
    • 5.5.3 Europe
    • 5.5.3.1 United Kingdom
    • 5.5.3.2 Germany
    • 5.5.3.3 France
    • 5.5.3.4 Italy
    • 5.5.3.5 Spain
    • 5.5.3.6 Nordics
    • 5.5.3.7 Rest of Europe
    • 5.5.4 Middle East and Africa
    • 5.5.4.1 Middle East
    • 5.5.4.1.1 Saudi Arabia
    • 5.5.4.1.2 United Arab Emirates
    • 5.5.4.1.3 Turkey
    • 5.5.4.1.4 Rest of Middle East
    • 5.5.4.2 Africa
    • 5.5.4.2.1 South Africa
    • 5.5.4.2.2 Egypt
    • 5.5.4.2.3 Nigeria
    • 5.5.4.2.4 Rest of Africa
    • 5.5.5 Asia-Pacific
    • 5.5.5.1 China
    • 5.5.5.2 India
    • 5.5.5.3 Japan
    • 5.5.5.4 South Korea
    • 5.5.5.5 ASEAN
    • 5.5.5.6 Australia
    • 5.5.5.7 New Zealand
    • 5.5.5.8 Rest of Asia-Pacific

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, and Recent Developments)
    • 6.4.1 Cisco Systems Inc.
    • 6.4.2 IBM Corporation
    • 6.4.3 Microsoft Corporation
    • 6.4.4 Apigee Corporation
    • 6.4.5 Dell Technologies Inc.
    • 6.4.6 Intel Corporation
    • 6.4.7 Oracle Corporation
    • 6.4.8 SAS Institute Inc.
    • 6.4.9 Amazon Web Services Inc.
    • 6.4.10 Google Cloud Platform
    • 6.4.11 Hewlett Packard Enterprise
    • 6.4.12 Schneider Electric SE
    • 6.4.13 Huawei Technologies Co.
    • 6.4.14 SAP SE
    • 6.4.15 Siemens AG
    • 6.4.16 GE Digital
    • 6.4.17 Foghorn Systems
    • 6.4.18 Edge Impulse Inc.
    • 6.4.19 Greenwave Systems
    • 6.4.20 Predixion Software
    • 6.4.21 AGT International Inc.

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-need Assessment
You Can Purchase Parts Of This Report. Check Out Prices For Specific Sections
Get Price Break-up Now

Global Edge Analytics Market Report Scope

Edge analytics is a way to data collection and interpretation in which a programmed analytical computation is performed on data at a sensor, network switch or another device instead of waiting for the data to be sent back to a centralized data store.

The edge analytics market is segmented by deployment (on-premise, cloud), by component (solutions, services ( professional and managed services )), by end-user industry (BFSI manufacturing, it & telecommunication, healthcare, retail), by geography (North America(united states, Canada), Europe (United Kingdom, Germany, France, rest of Europe), Asia Pacific (Japan, China, India, rest of Asia Pacific), Latin America, middle east and Africa). The market sizes and forecasts are provided in terms of value in USD for all the above segments.

By Deployment Type On-Premises
Cloud
By Component Solutions
Services
By End-User Industry BFSI
IT & Telecommunication
Manufacturing
Healthcare
Retail
Others
By Technology Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
By Geography North America United States
Canada
Mexico
South America Brazil
Argentina
Rest of South America
Europe United Kingdom
Germany
France
Italy
Spain
Nordics
Rest of Europe
Middle East and Africa Middle East Saudi Arabia
United Arab Emirates
Turkey
Rest of Middle East
Africa South Africa
Egypt
Nigeria
Rest of Africa
Asia-Pacific China
India
Japan
South Korea
ASEAN
Australia
New Zealand
Rest of Asia-Pacific
By Deployment Type
On-Premises
Cloud
By Component
Solutions
Services
By End-User Industry
BFSI
IT & Telecommunication
Manufacturing
Healthcare
Retail
Others
By Technology
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
By Geography
North America United States
Canada
Mexico
South America Brazil
Argentina
Rest of South America
Europe United Kingdom
Germany
France
Italy
Spain
Nordics
Rest of Europe
Middle East and Africa Middle East Saudi Arabia
United Arab Emirates
Turkey
Rest of Middle East
Africa South Africa
Egypt
Nigeria
Rest of Africa
Asia-Pacific China
India
Japan
South Korea
ASEAN
Australia
New Zealand
Rest of Asia-Pacific
Need A Different Region or Segment?
Customize Now

Key Questions Answered in the Report

What is the current value of the edge analytics market?

The edge analytics market size is USD 17.30 billion in 2025 and is projected to reach USD 52.04 billion by 2030.

Which region leads edge analytics adoption today?

North America accounts for 43% of 2024 revenue due to early 5G roll-outs and strong investments in edge infrastructure.

Which end-user sector is expanding fastest?

Healthcare shows the highest momentum, advancing at a 32% CAGR as hospitals deploy real-time patient monitoring and imaging analytics.

Why are hybrid edge architectures gaining traction?

Hybrid deployments balance on-premises data control with cloud scalability, offering secure local inference while centralizing batch analytics for cost efficiency.

Page last updated on: July 3, 2025

Edge Analytics Market Report Snapshots