Industrial Edge Market Size, Share and Trends

Report Code SE 9327
Published in Feb, 2025, By MarketsandMarkets™
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Industrial Edge Market by Edge Devices (Edge Sensors, Cameras, PLCs, DCS, HMIs), Edge Compute Devices (Industrial PCs, Single Board Computers), Edge Servers, Edge Networking (Edge Routers, Edge Gateways), Edge Platforms - Global Forecast to 2030

Overview

The global industrial edge market is expected to grow from USD 21.19 billion in 2025 to USD 44.73 billion by 2030, at a CAGR of 16.1%.

The industrial edge market consists of solutions and technologies that enable decentralized processing, analysis, and management of data in industrial settings. Industrial edge devices and industrial edge software enable seamless integration between information technology (IT) and operational technology (OT), real-time data processing, and scalable software deployment. Simplifying data collecting, processing, and analysis from industrial assets helps these solutions improve operational efficiency, allow predictive maintenance, and assist smart decision-making. Industrial edge software also guarantees safe and adaptable software roll-outs on the shop floor. The need for industrial edge solutions is rising as various industries welcome automation and Industry 4.0.

Industrial Edge Market

Attractive Opportunities in the Industrial Edge Market

NORTH AMERICA

North America is estimated to account for the largest share of the industrial edge market in 2025, driven by the increasing focus on automation across industries, advancements in edge computing technologies, and the rising adoption of AI-driven industrial solutions.

The growth of the industrial edge market is driven by the increased adoption of automation, improvements in operational efficiency, and the rising demand for real-time data processing across industries.

Product launches, collaborations, acquisitions, and partnerships would offer lucrative opportunities to market players in the next 5 years.

The industrial edge market in North America is projected to reach USD 19.29 billion by 2030, at CAGR of 15.8% during the forecast period.

Government initiatives promoting automation and Industry 4.0, combined with the growing emphasis on operational efficiency and decentralized computing, are driving the expansion of the industrial edge market.

Impact of AI on Industrial Edge Market

Artificial Intelligence (AI) is transforming the industrial edge market by increasing industrial edge device and industrial edge software functionality. AI facilitates edge-based real-time data analysis, predictive maintenance, and autonomous decision-making without latency and improved operational efficiency. With AI, industries can automate processes, identify anomalies, and forecast equipment failure in advance, minimizing downtime and expense. AI-driven insights also fuel smarter use of resources and energy management, especially in manufacturing, energy, and logistics industries. With ongoing advancements in AI, industrial edge achieves greater speed, precision, and scalability, fueling digital transformation in industries while ensuring security and reliability at the edge.

Industrial Edge Market Impact

Global Industrial Edge Market Dynamics

DRIVER: Demand for real-time decision-making in process industries

The growing demand for real-time decision-making in process industries is one of the major driving forces for the industrial edge market. Process industries such as oil & gas, chemicals, pharmaceuticals, and energy require real-time processing of information to maximize operations, efficiency, and safety. With the use of industrial edge devices and industrial edge software, organizations are able to process and analyze critical information at its source, which facilitates fast decision-making. This capability is indispensable for the optimization of processes, anomaly detection, and predictive maintenance, which in turn enhances the overall efficacy of equipment (OEE) and minimizes unplanned outages. In addition, industrial edge management guarantees the efficient scaling of operations by ensuring the seamless deployment, monitoring, and security of edge applications that enterprises implement. In industries where even minor latency can result in significant losses, edge computing enables real-time tuning of processes, enhances product quality, and speeds regulatory compliance. With Industry 4.0 adoption on the rise, the demand for low-latency and high-speed processing of data continues to rise, making industrial edge solutions an integral part of modern industrial automation and control systems.

RESTRAINT: Complex infrastructure requirements

The industrial edge market's expansion is restricted by its complex infrastructure requirements. Deployment of industrial edge solutions involves the integration of sophisticated hardware, such as industrial edge devices (controllers, gateways, and sensors), with advanced industrial edge software and legacy operational (OT) and information technology (IT) infrastructure. Requirements for robust networked infrastructure, high-speed connectivity, and secure data transport add to the complexity of deployment. In addition, industries must ensure compatibility of edge solutions with existing workflows, which can require extensive customization and technical expertise. The challenge of managing and supporting distributed edge systems across numerous sites adds to operational overhead, which requires experienced staff and continuous monitoring. For small and medium-sized businesses (SMEs), technical complexity and high initial capital expenditures of setting up and maintaining such infrastructure can be prohibitive. These challenges hinder adoption, especially in resource-constrained or operationally risk-averse industries. The complexity of ensuring cybersecurity and data integrity across distributed edge systems further complicates the adoption in highly regulated sectors. Thus, while industrial edge solutions deliver transformative value, the sophisticated infrastructure requirements are a limitation on mass deployment, which constrains the market growth in the short to medium term.

 

OPPORTUNITY: Growth of autonomous systems

The advent of autonomous systems offers a significant opportunity in the industrial edge market. As automation is increasingly adopted in various industries, there is a growing need for real-time processing of edge data and making decisions. Autonomous systems such as autonomous vehicles, robotic process automation, and intelligent manufacturing equipment rely primarily on industrial edge devices and industrial edge. Technologies such as edge AI, machine vision, and real-time analytics enable localized processing of data, reducing latency and enabling immediate response to changing situations. In the manufacturing sector, autonomous robots equipped with the edge can automate production lines. In logistics, autonomous vehicles can travel smoothly through warehouses. By adding artificial intelligence and machine learning into edge systems, autonomous systems become even more useful and allow adaptive operations and predictive maintenance. The adoption of autonomous systems is expected to generate the demand for industrial edge solutions as sectors aim for more efficiency, safety, and scalability. Positioned as a major facilitator of the next wave of industrial automation and digital transformation, this trend creates new opportunities for innovation and expansion in the industrial edge industry.

CHALLENGE: Cybersecurity concerns

The industrial edge sector faces significant cybersecurity challenges as distributed computing systems increase users' exposure to cyberattacks. The decentralized nature of these systems makes it harder to implement uniform security measures, further heightening vulnerabilities. Edge computing spreads data processing around many sites, unlike centralized systems, which complicates threat detection and security monitoring. Industrial infrastructures, previously in isolation, are now in the networked space. Hence, they are vulnerable to intrusions, data theft, and ransom attacks. Between edge nodes and central networks, real-time data flow exposes important activities to hazards like ransomware attacks, data breaches, and illegal access. The increasing number of linked devices also increases the attack surface. Hence, strong security systems are needed to stop such invasions. To protect private information and guarantee low latency, industries have to use modern authentication systems, network segmentation, and encryption. However, combining these security steps without sacrificing speed is a major challenge. Changing cybersecurity rules adds even more complexity as it depends on constant investment in safe designs and threat reducing techniques. Cybersecurity threats might slow down industrial edge adoption and restrict its ability to increase operational efficiency and digital transformation.

Global Industrial Edge Market Ecosystem Analysis

The key players operating in the industrial edge market are Amazon Web Services, Inc. (US), IBM (US), Cisco Systems, Inc. (US), Dell Technologies (US), and Hewlett Packard Enterprise Development LP (US). These companies have a comprehensive product portfolio and a strong geographic footprint. Players in this market have adopted various growth strategies, including partnerships and expansions, to establish their foothold in the market. The market ecosystem has several participants, and each participant plays a crucial role in developing and deploying industrial edge solutions worldwide.

Top Companies in Industrial Edge Market
 

Services segment to register highest CAGR in industrial edge market during forecast period.

The services segment is anticipated to grow at the highest CAGR in the industrial edge market during the forecast period. This high growth is driven by the rising demand for professional and managed services. As industries move quickly towards embracing edge computing, organizations need consulting services to create tailored plans and ensure smooth integration of industrial edge solutions. Design and implementation services are the key to deploying scalable and secure edge architectures and optimizing performance across dispersed environments.

Managed services are also gaining traction as organizations prefer external expertise to handle complicated edge deployments. Network monitoring services provide real-time insights and ensure low downtime, while support and maintenance services optimize system performance and troubleshoot technical issues. With growing cybersecurity threats, cybersecurity services are becoming imperative to securing industrial edge infrastructures from unauthorized access and data breaches. The rising complexity of edge ecosystems, along with the need for continuous optimization and security, is driving the demand for these services. Hence, the services segment is likely to grow at a significant rate, enabling businesses to achieve maximum efficiency and operational resilience in industrial edge deployments.

Energy & power sector to dominate industrial edge market during forecast period.

The energy & power industry is estimated to account for the largest share of the industrial edge market during the forecast period. This is owed to the increasing need for real-time monitoring, predictive maintenance, and energy efficiency. Industrial edge solutions enable energy and utility companies to process data closer to the source, reduce latency, and facilitate improved decision-making. This is particularly important for the management of sophisticated power grids, the optimization of the adoption of renewable energy, and the delivery of secure energy distribution. Edge computing also supports predictive maintenance of assets like turbines and transformers, reducing downtime and maintenance expenses. Further, the introduction of smart grids and decentralized energy systems has also driven the application of edge technologies in the sector. As industrial edge devices and industrial edge software gain wider usage, energy companies can achieve grid stability, improve cybersecurity, and achieve higher operational efficiency. With the increasing demand for global energy and the usage of renewable energy sources, the energy & power sector's reliance on industrial edge solutions will make it the largest contributor to the industrial edge market over the forecast period.

Asia Pacific to Grow at Highest Rate During Forecast Period

The industrial edge market is anticipated to experience the highest CAGR in the Asia Pacific region during the forecast period. This growth is driven by rapid industrialization, the widespread adoption of smart manufacturing, and the expansion of IoT-enabled technologies. Governments and companies in countries such as China, Japan, South Korea, and India are fueling the market growth with massive investments in digital transformation and Industry 4.0. The region's strong manufacturing sector, along with the creation of smart cities and energy-efficient infrastructure, is fueling the demand for industrial edge solutions. In addition, the growing demand for real-time data processing, predictive maintenance, and operational efficiency is accelerating the adoption of edge computing across sectors such as automotive, electronics, and energy. Supportive government regulations, more investments in 5G infrastructure, and the presence of important technological businesses further fuel the market growth in the region. Asia Pacific is likely to become a significant center for industrial edge innovation as it increasingly embraces sophisticated technologies to improve productivity and competitiveness. These factors are leading to the high growth of the industrial edge market in the Asia Pacific region during the projected period.

HIGHEST CAGR MARKET DURING 2025 – 2030
ASIA PACIFIC - FASTEST GROWING MARKET
Industrial Edge Market by region

Recent Developments of Industrial Edge Market

  • In December 2024, Advanced Co., Ltd. launched the UNO-247 V2, an industrial IoT gateway powered by the Intel N97 processor. This gateway enhances automation and smart manufacturing by enabling remote control, decision-making, and connectivity at the edge of industrial networks. It supports advanced capabilities such as predictive maintenance, enhanced cybersecurity, and seamless integration with industrial IoT ecosystems, driving innovation and digital transformation in latency-sensitive environments.
  • In November 2024, Dell Inc. enhanced its Dell NativeEdge platform, simplifying edge AI deployment with updates such as high-availability clustering, an expanded Blueprint catalog for AI applications, and integrations with leading AI/ML frameworks.
  • In October 2024, Hewlett Packard Enterprise Development LP launched the HPE ProLiant Compute XD685, a high-performance server designed for AI model training, supercomputing, and industrial edge applications. This server combines AMD EPYC processors and M1325X accelerators to deliver scalable, energy-efficient computing for complex AI tasks such as large language model training and multi-modal processing.
  • In July 2024, Amazon Web Services, Inc. launched AWS IoT SiteWise Edge on Siemens Industrial Edge, an industrial IoT solution that bridges Operational Technology (OT) and Information Technology (IT). This product enables the collection and transmission of industrial equipment data to the cloud, supporting use cases like asset monitoring, predictive maintenance, and energy monitoring.
  • In May 2024, Dell Inc. collaborated with ServiceNow to introduce the first closed-loop integration for industrial edge environments. This partnership leverages ServiceNow's Now Platform to streamline AI application development and deployment at the edge, offering end-to-end automation for IT.
  • In March 2024, NVIDIA partnered with Advanced to enhance global enterprise productivity through industrial-grade edge computing, software, and services. Advanced planned to roll out edge AI systems compatible with NVIDIA AI Enterprise in Q2 2024.
  • In January 2024, Hewlett Packard Enterprise Development LP acquired Juniper Networks to advance networking solutions with cloud-native capabilities, AI management, and control for hybrid cloud environments. This acquisition complements HPE Aruba Networking and follows Juniper Networks' launch of a new security services architecture for edge data centers in October 2023.
  • In May 2023, Dell Inc. launched the Dell NativeEdge software platform, designed to simplify, secure, and automate edge infrastructure and application deployment. The platform offers secure device onboarding, remote management, and multi-cloud application orchestration, supporting various enterprise edge scenarios with built-in Zero Trust functionality.
  • In March 2023, Hewlett Packard Enterprise Development LP acquired Axis Security to expand its edge-to-edge security capabilities. This acquisition provides a Secure Access Services Edge (SASE) solution, addressing the growing demand for integrated networking and security services delivered as a service.

Key Market Players

List of Top Industrial Edge Market Companies

The Industrial Edge Market is dominated by a few major players that have a wide regional presence. The major players in the Industrial Edge Market are

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Scope of the Report

Report Attribute Details
Market size available for years 2021–2030
Base year considered 2023
Forecast period 2025–2030
Forecast units Value (USD Billion)
Segments Covered By Component, Software, Application, Organization Size, Industry and Region
Regions covered North America, Europe, Asia Pacific, and Rest of the World

Key Questions Addressed by the Report

What is the projected CAGR for the industrial edge market during 2025-2030?
The global industrial edge market is expected to record a CAGR of 16.1% from 2025 to 2030.
What are the driving factors for the industrial edge market?
The key drivers of the industrial edge market include the rising demand for real-time data processing, reduced latency, and improved operational efficiency across industrial sectors. The growing adoption of IoT, AI, machine learning, and 5G is enabling edge computing solutions to support advanced analytics, automation, and predictive maintenance. The increasing need for secure, decentralized computing infrastructure to handle mission-critical applications is further accelerating the adoption of industrial edge solutions. Additionally, the expansion of Industry 4.0, digital transformation initiatives, and government policies promoting smart manufacturing are contributing to the growth of the industrial edge market.
Which are the significant players operating in the industrial edge market?
Amazon Web Services, Inc. (US), IBM (US), Cisco Systems, Inc. (US), Dell Technologies (US), and Hewlett Packard Enterprise Development LP (US) are some of the major companies operating in the industrial edge market.
What is the impact of AI on the industrial edge market?
AI is transforming the industrial edge market by enabling real-time decision-making, predictive analytics, and automation. It enhances efficiency by processing data at the source, reducing latency, and minimizing cloud reliance. Industries benefit from AI-driven anomaly detection, adaptive maintenance, and autonomous control, optimizing operations and reducing downtime. As Industry 4.0 advances, AI-integrated edge computing is driving innovation and competitiveness in industrial applications.
Which region is likely to drive the growth of the industrial edge market during the forecast period?
During the projected period, Asia Pacific is expected to offer lucrative opportunities in the industrial edge market.

 

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Table Of Contents

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TITLE
PAGE NO
INTRODUCTION
1
  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
  • 1.3 STUDY SCOPE
    INCLUSIONS AND EXCLUSIONS
    MARKETS COVERED
    GEOGRAPHIC SEGMENTATION
    YEARS CONSIDERED FOR THE STUDY
  • 1.4 CURRENCY
  • 1.5 LIMITATIONS
  • 1.6 STAKEHOLDERS
RESEARCH METHODOLOGY
2
  • 2.1 RESEARCH DATA
    SECONDARY DATA
    - Major Secondary Sources
    - Key Data from Secondary Sources
    PRIMARY DATA
    - Primary Interviews with Experts
    - Key Data from Primary Sources
    - Key Industry Insights
    - Breakdown of Primaries
  • 2.2 MARKET SIZE ESTIMATION
    BOTTOM-UP APPROACH
    - Approach for Capturing Market Share by Bottom-Up Analysis (Demand Side)
    TOP-DOWN APPROACH
    - Approach for Capturing Market Share by Top-Down Analysis (Supply Side)
  • 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
  • 2.4 RESEARCH ASSUMPTIONS
  • 2.5 RISK ASSESSMENT
  • 2.6 LIMITATIONS OF RESEARCH
EXECUTIVE SUMMARY
3
PREMIUM INSIGHTS
4
MARKET OVERVIEW
5
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
  • 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS
  • 5.4 PRICING ANALYSIS
    AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY COMPONENT
    AVERAGE SELLING PRICE TREND, BY REGION
  • 5.5 VALUE CHAIN ANALYSIS
  • 5.6 ECOSYSTEM ANALYSIS
  • 5.7 INVESTMENT AND FUNDING SCENARIO
  • 5.8 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Industrial Internet of Things (IIoT)
    - Artificial Intelligence & Machine Learning
    COMPLEMENTARY TECHNOLOGIES
    - Cybersecurity Solutions
    - Cloud Computing
    ADJACENT TECHNOLOGIES
    - AR & VR
    - 5G Connectivity
  • 5.9 PATENT ANALYSIS
    TRADE ANALYSIS
    KEY CONFERENCES AND EVENTS (2025-2026)
    CASE STUDY ANALYSIS
    REGULATORY LANDSCAPE
    - Regulatory Bodies, Government Agencies, and Other Organizations
    PORTERS FIVE FORCE ANALYSIS
    - Threat from New Entrants
    - Threat of Substitutes
    - Bargaining Power of Suppliers
    - Bargaining Power of Buyers
    - Intensity of Competitive Rivalry
    KEY STAKEHOLDERS AND BUYING CRITERIA
    - Key Stakeholders in Buying Process
    - Buying Criteria
    IMPACT OF AI/GENAI ON INDUSTRIAL EDGE MARKET
OVERVIEW OF INDUSTRIAL EDGE (QUALITATIVE)
6
  • 6.1 INTRODUCTION
  • 6.2 INDUSTRIAL EDGE: DATA FLOW TYPES
  • 6.3 LAYERS OF INDUSTRIAL EDGE
  • 6.4 INDUSTRIAL EDGE TECHNOLOGY ROADMAP
  • 6.5 IMPACT OF INDUSTRIAL EDGE ON SMART MANUFACTURING
  • 6.6 INDUSTRIAL EDGE AND OTHER KEY TECHNOLOGIES
    INDUSTRIAL EDGE AND 5G
    INDUSTRIAL EDGE AND IIOT
    INDUSTRIAL EDGE AND SCADA
INDUSTRIAL EDGE MARKET, BY COMPONENT
7
  • 7.1 INTRODUCTION
  • 7.2 HARDWARE
    EDGE INPUT DEVICES
    - Edge Sensors
    - Cameras
    - Controllers
    - HMIs
    - Others
    EDGE COMPUTE DEVICES
    - Industrial PCs (IPCs)
    - Single-Board Computers
    EDGE SERVERS
    EDGE NETWORKING
    - Edge Gateways
    - Edge Routers
  • 7.3 EDGE SOFTWARE
    EDGE APPLICATIONS
    - Network Management
    - Data Ingestion
    - Security & Control
    - Visualization
    - Analytics
    - Storage Management
    EDGE PLATFORMS
  • 7.4 SERVICES
    PROFESSIONAL SERVICES
    - Consulting
    - Design & Implementation
    MANAGED SERVICES
    - Network Monitoring
    - Support & Maintenance
    - Cybersecurity Services
INDUSTRIAL EDGE MARKET, BY SOFTWARE
8
  • 8.1 INTRODUCTION
    ON-PREMISES
    CLOUD-BASED
INDUSTRIAL EDGE MARKET, BY APPLICATION
9
  • 9.1 INTRODUCTION
  • 9.2 PREDICTIVE MAINTENANCE
  • 9.3 REAL-TIME MONITORING AND CONTROL
  • 9.4 ASSET TRACKING AND MANAGEMENT
  • 9.5 REMOTE MONITORING AND MANAGEMENT
  • 9.6 AUTOMATION AND ROBOTICS
  • 9.7 QUALITY CONTROL AND INSPECTION
  • 9.8 PROCESS OPTIMIZATION
  • 9.9 SECURITY AND COMPLIANCE
    AR/VR FOR INDUSTRIAL APPLICATIONS
INDUSTRIAL EDGE MARKET, BY ORGANIZATION SIZE
10
  • 10.1 INTRODUCTION
  • 10.2 LARGE ENTERPRISES
  • 10.3 SMALL AND MEDIUM SIZED ENTERPRISES
INDUSTRIAL EDGE MARKET, BY INDUSTRY
11
  • 11.1 INTRODUCTION
  • 11.2 AUTOMOTIVE
  • 11.3 SEMICONDUCTOR & ELECTRONICS
  • 11.4 OIL & GAS AND MINING
  • 11.5 ENERGY AND POWER
  • 11.6 FOOD & BEVERAGES
  • 11.7 PHARMACEUTICALS
  • 11.8 CHEMICALS
  • 11.9 OTHER INDUSTRIES (WATER & WASTEWATER TREATMENT, TEXTILE, PULP & PAPER)
INDUSTRIAL EDGE MARKET, BY REGION
12
  • 12.1 INTRODUCTION
  • 12.2 NORTH AMERICA
    MACRO-ECONOMIC OUTLOOK
    US
    CANADA
    MEXICO
  • 12.3 EUROPE
    MACRO-ECONOMIC OUTLOOK
    UK
    GERMANY
    FRANCE
    ITALY
    REST OF EUROPE
  • 12.4 ASIA PACIFIC
    MACRO-ECONOMIC OUTLOOK
    CHINA
    JAPAN
    INDIA
    SOUTH KOREA
    REST OF ASIA PACIFIC
  • 12.5 ROW
    MACRO-ECONOMIC OUTLOOK
    MIDDLE EAST
    - GCC Countries
    - Rest of Middle East
    AFRICA
    SOUTH AMERICA
INDUSTRIAL EDGE MARKET, COMPETITIVE LANDSCAPE
13
  • 13.1 KEY PLAYER STRATEGIES/RIGHT TO WIN
  • 13.2 REVENUE ANALYSIS
  • 13.3 MARKET SHARE ANALYSIS
  • 13.4 COMPANY VALUATION AND FINANCIAL METRICS
  • 13.5 PRODUCT/BRAND COMPARISON
  • 13.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2024
    - Company Footprint
    - Region Footprint
    - Component Footprint
    - Industry Footprint
    - Organization Size Footprint
  • 13.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    - Detailed List of Key Startups/SMEs
    - Competitive Benchmarking of Key Startups/SMEs
  • 13.8 COMPETITIVE SITUATION AND TRENDS
INDUSTRIAL EDGE MARKET, COMPANY PROFILES
14
  • 14.1 KEY PLAYERS
    AMAZON WEB SERVICES, INC.
    GOOGLE
    HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
    DELL INC.
    CISCO SYSTEMS, INC.
    MICROSOFT
    IBM
    NVIDIA CORPORATION
    SIEMENS
    - ABB
    - Rockwell Automation
    - Schneider Electric
    - Advantech Co., Ltd.
    - Honeywell International Inc.
    - Emerson Electric Co.
    - Intel Corporation
  • 14.2 OTHER PROMINENT PLAYERS
    NOKIA
    BELDEN INC.
    JUNIPER NETWORKS, INC.
    ORACLE
    HUAWEI TECHNOLOGIES
  • 14.3 STARTUPS & SMES
    MOXA INC.
    DIGI INTERNATIONAL INC.
    ADLINK TECHNOLOGY INC.
    VAPOUR IO.
    GREEN EDGE COMPUTING CORP.
    LITMUS AUTOMATION INC
    ZEDEDA
    CLEARBLADE
APPENDIX
15
  • 15.1 DISCUSSION GUIDE
  • 15.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 15.3 AVAILABLE CUSTOMIZATIONS
  • 15.4 RELATED REPORTS
  • 15.5 AUTHOR DETAILS

The study involved four major activities in estimating the current size of the industrial edge market. Exhaustive secondary research has been done to collect information on the market, peer market, and parent market. To validate these findings, assumptions, and sizing with industry experts across the value chain through primary research has been the next step. Both top-down and bottom-up approaches have been employed to estimate the complete market size. After that, market breakdown and data triangulation methods have been used to estimate the market size of segments and subsegments. Two sources of information—secondary and primary—have been used to identify and collect information for an extensive technical and commercial study of the industrial edge market.

Secondary Research

Various secondary sources have been referred to in the secondary research process to identify and collect information important for this study. The secondary sources include annual reports, press releases, and investor presentations of companies; white papers; journals and certified publications; and articles from recognized authors, websites, directories, and databases. Secondary research has been conducted to obtain key information about the industry’s supply chain, the market’s value chain, the total pool of key players, market segmentation according to the industry trends (to the bottom-most level), regional markets, and key developments from market- and technology-oriented perspectives. The secondary data has been collected and analyzed to determine the overall market size, further validated by primary research.

Primary Research

Extensive primary research was conducted after gaining knowledge about the current scenario of the industrial edge market through secondary research. Several primary interviews were conducted with experts from the demand and supply sides across four major regions—North America, Europe, Asia Pacific and RoW. This primary data was collected through questionnaires, emails, and telephonic interviews.

Industrial Edge Market Size, and Share

Note: The three tiers of the companies are defined based on their total revenue in 2023: Tier 1 - revenue
greater than or equal to USD 1 billion; Tier 2 - revenue between USD 100 million and USD 1 billion;
and Tier 3 revenue less than or equal to USD 100 million. Other designations include sales managers, marketing
managers, and product managers.

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Both top-down and bottom-up approaches have been used to estimate and validate the total size of the industrial edge market. These methods have also been used extensively to estimate the size of various subsegments in the market. The following research methodology has been used to estimate the market size:

  • Major players in the industry and markets have been identified through extensive secondary research.
  • The industry’s value chain and market size (in terms of value) have been determined through primary and secondary research processes.
  • All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Industrial Edge Market : Top-Down and Bottom-Up Approach

Industrial Edge Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall size of the industrial edge market from the market size estimation process explained above, the total market has been split into several segments and subsegments. Data triangulation and market breakdown procedures have been employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments of the market. The data has been triangulated by studying various factors and trends from both the demand and supply sides. Along with this, the market size has been validated using both top-down and bottom-up approaches.

Market Definition

The industrial edge market encompasses solutions, platforms, and infrastructure that enable edge computing in industrial environments. Unlike depending just on centralized cloud computing, this market encompasses hardware, software, and connectivity solutions meant to process, analyze, and manage data directly at the operational level—closer to industrial assets and production systems.

Industrial edge solutions enable scalable, secure software deployment on the production floor by combining operational technology (OT) with information technology (IT), so streamlining data collecting and increasing real-time analytics. Even as they help to lower IT expenses, these technologies increase efficiency, automation, and decision-making. The market is driven by increasing demand for predictive maintenance, real-time monitoring, and Industry 4.0 adoption—with uses spanning manufacturing, energy, logistics, and smart infrastructure.

Stakeholders

  • Industrial Edge solution and service providers
  • Cloud service providers
  • Industrial IoT solution providers
  • Cybersecurity Firm
  • Raw material suppliers
  • Semiconductor foundries
  • Original Equipment Manufacturers (OEM)
  • Government organizations, forums, alliances, and associations
  • System Integrators (SIs) and Value-added Resellers (VARs)
  • Research organizations
  • Technology standard organizations, forums, alliances, and associations
  • Technology investors
  • End-user Industries

Report Objectives

  • To define, describe and forecast the industrial edge market, in terms of component, software, application, organization size, industry and region.
  • To describe and forecast the market, in terms of value, with regard to four main regions: North America, Europe, Asia Pacific, and Rest of the World (RoW) along with their respective countries
  • To provide detailed information regarding major factors influencing the market growth (drivers, restraints, opportunities, and challenges)
  • To provide a detailed overview of the value chain of industrial edge market.
  • To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the market
  • To analyze opportunities in the market for stakeholders by identifying high-growth segments of the market.
  • To strategically profile key players and comprehensively analyze their market position in terms of ranking and core competencies, along with detailing the competitive landscape for market leaders
  • To analyze competitive strategies, such as product launches, expansions, mergers and acquisitions, adopted by key market players in the industrial edge market.

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Growth opportunities and latent adjacency in Industrial Edge Market

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