Edge Computing Market by Component (Edge Hardware (Servers, Gateways, Sensors, Devices), Edge Software (Data Management)), Edge Application (Edge AI & Inference, Real-Time Processing & Control, Immersive & Interactive Experiences) - Forecast to 2030
Description
The global edge computing market is expanding rapidly, with a projected market size expected to rise from about USD 168.40 billion in 2025 to USD 249.06 billion by 2030, at a CAGR of 8.1%. Several key drivers and restraints primarily shape the growth of the edge computing market. Drivers include the surge in adoption and practice of Internet of Things (IoT) solutions across various industries, driving the need for real-time data processing and analytics at the network’s edge. Rising demand for low-latency applications further propels market expansion, alongside strict government regulatory requirements that encourage secure and compliant edge deployments. Additionally, integrating artificial intelligence (AI) and machine learning (ML) empowers organizations to realize smarter, autonomous operations directly at the edge. On the other hand, restraints center around the complex nature of edge computing infrastructure, which poses significant challenges in deployment, management, and seamless integration with legacy systems.
By edge software, network management to account for the highest growth rate during the forecast period
Network management is expected to account for the highest growth rate during the forecast period. This growth is driven by edge deployments' rising complexity and scale, where maintaining seamless connectivity, secure communication, and consistent performance is critical to business operations. Network management at the edge includes connectivity management, performance monitoring, network optimization, and network security, all of which are essential to ensure the reliability and efficiency of distributed infrastructure. As organizations deploy many edge devices across diverse environments, real-time network visibility and control become increasingly important to prevent data bottlenecks, detect threats early, and reduce latency. Vendors that deliver advanced network management solutions enable enterprises to support continuous workflows, achieve faster issue resolution, and ensure high service availability even in remote or bandwidth-constrained locations. The increase in 5G adoption and the integration of IoT and AI across industries add to the pressure on networks, making robust management tools a strategic investment. This presents a strong opportunity for solution providers to offer platform-agnostic, secure, and scalable network management capabilities tailored to industry-specific needs. Those focusing on automation, simplified orchestration, and proactive troubleshooting are expected to be better positioned to meet enterprise demand and play a central role in the expanding edge computing ecosystem.
On-premises edge deployment mode to hold the largest market share during the forecast period
On-premises edge is expected to maintain the largest share of the edge computing market during the forecast period, reflecting a strong demand from enterprises and organizations that require localized data processing, heightened privacy, and direct control over their digital infrastructure. This growth is particularly evident in sectors where operational continuity, regulatory compliance, and rapid response are non-negotiable, such as healthcare, advanced manufacturing, and critical infrastructure. By deploying edge resources within their facilities, organizations bypass the potential risks of cloud dependency, such as network outages and data sovereignty concerns, while securing the lowest possible latency for applications such as real-time analytics, automation, and quality control. As digital transformation accelerates, the balance between investment and benefit shifts, with the total cost of ownership for on-premises edge being justified by tangible gains in security, reliability, and operational agility. Today’s edge offerings are increasingly modular and scalable, making it feasible for enterprises of all sizes to adopt dedicated edge nodes that fit their precise requirements. For vendors and solution providers, this means steady demand for robust, interoperable platforms, seamless integration tools, and managed services that simplify deployment and lifecycle management. The market’s trajectory signals ongoing opportunities to deepen client partnerships, develop sector-specific edge solutions, and establish leadership in markets where trust, performance, and resilience define competitive advantage. As enterprises invest in distributed architectures, vendors prioritizing ease of adoption, transparent security, and fit-for-purpose solutions will differentiate their offerings and secure long-term growth in this dynamic environment.
North America leads the edge computing market with advanced infrastructure, strong 5G coverage, and high enterprise demand for real-time solutions, while Asia Pacific is the fastest-growing region driven by rapid cloud adoption, large-scale IoT deployments, and government-backed investments in localized edge infrastructure.
North America is expected to lead the edge computing market, driven by increasing enterprise demand for real-time data processing, low-latency applications, and secure distributed architectures. For vendors and solution providers, this means significant opportunities to deliver scalable platforms and services that support industries such as manufacturing, healthcare, telecommunications, and autonomous vehicles. The region’s mature 5G infrastructure and growing IoT deployments enable the shift from centralized cloud to edge-based processing, creating a critical need for localized solutions that ensure compliance with data sovereignty regulations. Strategic partnerships, such as integrating edge capabilities into telecommunications networks, demonstrate how edge computing enhances operational efficiency and user experience. Capitalizing on these trends allows vendors to address evolving customer requirements, reduce latency challenges, and establish strong footholds in a market poised for rapid growth and innovation.
Breakdown of Primary interviews
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the edge computing market.
Research Coverage
This research report categorizes the edge computing market based on Component (edge hardware (edge servers, edge gateways, edge sensors, edge devices)), edge software (data management, device management, application management, network management), and services (professional services, and managed services)), Application (real-time processing & control, edge-AI & inference, IoT & industrial automation, content delivery & media, immersive & interactive experiences, and other applications (security & access control, healthcare & telemedicine, consumer & smart living)), Organization size (large enterprises, small & medium sized enterprises), Deployment mode (cloud edge, on-premises edge, device edge), Vertical (manufacturing/industrial, energy & utilities, software & IT services, telecommunications, automotive, media & entertainment, retail & consumer goods, transportation & logistics, healthcare & life sciences, and other verticals (education, government & public sector, BFSI)) and Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The report's scope covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the edge computing market. A detailed analysis of the key industry players was done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, and mergers & acquisitions; and recent developments associated with the edge computing market. This report also covers the competitive analysis of upcoming startups in the edge computing market ecosystem.
Reason to buy this Report
The report provides market leaders and new entrants with information on the closest approximations of the revenue numbers for the overall edge computing market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. It also helps stakeholders understand the market's pulse and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
By edge software, network management to account for the highest growth rate during the forecast period
Network management is expected to account for the highest growth rate during the forecast period. This growth is driven by edge deployments' rising complexity and scale, where maintaining seamless connectivity, secure communication, and consistent performance is critical to business operations. Network management at the edge includes connectivity management, performance monitoring, network optimization, and network security, all of which are essential to ensure the reliability and efficiency of distributed infrastructure. As organizations deploy many edge devices across diverse environments, real-time network visibility and control become increasingly important to prevent data bottlenecks, detect threats early, and reduce latency. Vendors that deliver advanced network management solutions enable enterprises to support continuous workflows, achieve faster issue resolution, and ensure high service availability even in remote or bandwidth-constrained locations. The increase in 5G adoption and the integration of IoT and AI across industries add to the pressure on networks, making robust management tools a strategic investment. This presents a strong opportunity for solution providers to offer platform-agnostic, secure, and scalable network management capabilities tailored to industry-specific needs. Those focusing on automation, simplified orchestration, and proactive troubleshooting are expected to be better positioned to meet enterprise demand and play a central role in the expanding edge computing ecosystem.
On-premises edge deployment mode to hold the largest market share during the forecast period
On-premises edge is expected to maintain the largest share of the edge computing market during the forecast period, reflecting a strong demand from enterprises and organizations that require localized data processing, heightened privacy, and direct control over their digital infrastructure. This growth is particularly evident in sectors where operational continuity, regulatory compliance, and rapid response are non-negotiable, such as healthcare, advanced manufacturing, and critical infrastructure. By deploying edge resources within their facilities, organizations bypass the potential risks of cloud dependency, such as network outages and data sovereignty concerns, while securing the lowest possible latency for applications such as real-time analytics, automation, and quality control. As digital transformation accelerates, the balance between investment and benefit shifts, with the total cost of ownership for on-premises edge being justified by tangible gains in security, reliability, and operational agility. Today’s edge offerings are increasingly modular and scalable, making it feasible for enterprises of all sizes to adopt dedicated edge nodes that fit their precise requirements. For vendors and solution providers, this means steady demand for robust, interoperable platforms, seamless integration tools, and managed services that simplify deployment and lifecycle management. The market’s trajectory signals ongoing opportunities to deepen client partnerships, develop sector-specific edge solutions, and establish leadership in markets where trust, performance, and resilience define competitive advantage. As enterprises invest in distributed architectures, vendors prioritizing ease of adoption, transparent security, and fit-for-purpose solutions will differentiate their offerings and secure long-term growth in this dynamic environment.
North America leads the edge computing market with advanced infrastructure, strong 5G coverage, and high enterprise demand for real-time solutions, while Asia Pacific is the fastest-growing region driven by rapid cloud adoption, large-scale IoT deployments, and government-backed investments in localized edge infrastructure.
North America is expected to lead the edge computing market, driven by increasing enterprise demand for real-time data processing, low-latency applications, and secure distributed architectures. For vendors and solution providers, this means significant opportunities to deliver scalable platforms and services that support industries such as manufacturing, healthcare, telecommunications, and autonomous vehicles. The region’s mature 5G infrastructure and growing IoT deployments enable the shift from centralized cloud to edge-based processing, creating a critical need for localized solutions that ensure compliance with data sovereignty regulations. Strategic partnerships, such as integrating edge capabilities into telecommunications networks, demonstrate how edge computing enhances operational efficiency and user experience. Capitalizing on these trends allows vendors to address evolving customer requirements, reduce latency challenges, and establish strong footholds in a market poised for rapid growth and innovation.
Breakdown of Primary interviews
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the edge computing market.
- By Company: Tier I – 35%, Tier II – 25%, and Tier III – 40%
- By Designation: C-Level Executives – 25%, D-Level Executives –30%, and Others – 45%
- By Region: North America – 42%, Europe – 25%, Asia Pacific – 18%, and Rest of the World – 15%
Research Coverage
This research report categorizes the edge computing market based on Component (edge hardware (edge servers, edge gateways, edge sensors, edge devices)), edge software (data management, device management, application management, network management), and services (professional services, and managed services)), Application (real-time processing & control, edge-AI & inference, IoT & industrial automation, content delivery & media, immersive & interactive experiences, and other applications (security & access control, healthcare & telemedicine, consumer & smart living)), Organization size (large enterprises, small & medium sized enterprises), Deployment mode (cloud edge, on-premises edge, device edge), Vertical (manufacturing/industrial, energy & utilities, software & IT services, telecommunications, automotive, media & entertainment, retail & consumer goods, transportation & logistics, healthcare & life sciences, and other verticals (education, government & public sector, BFSI)) and Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The report's scope covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the edge computing market. A detailed analysis of the key industry players was done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, and mergers & acquisitions; and recent developments associated with the edge computing market. This report also covers the competitive analysis of upcoming startups in the edge computing market ecosystem.
Reason to buy this Report
The report provides market leaders and new entrants with information on the closest approximations of the revenue numbers for the overall edge computing market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. It also helps stakeholders understand the market's pulse and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
- Analysis of key drivers (Surge in adoption and practice of IoT across industries, Rising demand for low-latency applications, Strict government regulatory requirements, Integration of AI and ML), restraints (Complex nature of the edge computing infrastructure ), opportunities (Advent of 5G network to provide open avenues for large-scale 5G network deployment, Proliferation of IoT, Rapid adoption of edge computing solutions across sectors, Emergence of autonomous automobiles and connected car infrastructure), and challenges (Increasing data privacy and security concerns, Challenges in compatibility or interoperability).
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the edge computing market.
- Market Development: Comprehensive information about lucrative markets – the report analyses the edge computing market across varied regions.
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the edge computing market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such HPE (US), AWS (US), Dell Technologies (US), Cisco (US), Microsoft (US), IBM (US), Google (US), Nvidia (US), Intel (US), Huawei (China), Nokia (Finland), VMware (US), Fastly (US), Adlink (Taiwan), Oracle (US), Semtech (US), Moxa (US), Belden (US), GE Digital (US), DG International (US), Litmus Automation (US), Zededa (US), Clearblade (US), and Vapor IO (US). The report also helps stakeholders understand the edge computing market's pulse and provides information on key market drivers, restraints, challenges, and opportunities.
Table of Contents
341 Pages
- 1 Introduction
- 1.1 Study Objectives
- 1.2 Market Definition
- 1.3 Market Scope
- 1.3.1 Market Segmentation And Regional Scope
- 1.3.2 Inclusions & Exclusions
- 1.3.3 Years Considered
- 1.4 Currency Considered
- 1.5 Stakeholders
- 1.6 Summary Of Changes
- 2 Research Methodology
- 2.1 Research Approach
- 2.1.1 Secondary Data
- 2.1.1.1 Key Data From Secondary Sources
- 2.1.2 Primary Data
- 2.1.2.1 Key Data From Primary Sources
- 2.1.2.2 Breakup Of Primary Profiles
- 2.1.2.3 Key Industry Insights
- 2.2 Market Breakup And Data Triangulation
- 2.3 Market Size Estimation
- 2.4 Market Forecast
- 2.5 Research Assumptions
- 2.6 Research Limitations
- 3 Executive Summary
- 4 Premium Insights
- 4.1 Attractive Opportunities For Players In Edge Computing Market
- 4.2 Edge Computing Market, By Component (2025 Vs 2030)
- 4.3 Edge Computing Market, By Application (2025 Vs 2030)
- 4.4 Edge Computing Market, By Deployment Type (2025 Vs 2030)
- 4.5 Edge Computing Market, By Organization Size (2025 Vs 2030)
- 4.6 Edge Computing Market, By Vertical (2025 Vs 2030)
- 4.7 Edge Computing Market, By Region
- 5 Market Overview And Industry Trends
- 5.1 Introduction
- 5.2 Market Dynamics
- 5.2.1 Drivers
- 5.2.1.1 Exponential Scale Of Iot And Endpoint Intelligence
- 5.2.1.2 Rising Demand For Low-latency Applications
- 5.2.1.3 Integration Of Edge Ai/Ml For Autonomous Decision-making
- 5.2.1.4 Stringent Government Regulatory Requirements
- 5.2.2 Restraints
- 5.2.2.1 Economic And Policy Constraints In Emerging Markets
- 5.2.2.2 Complex Nature Of Edge Computing Infrastructure
- 5.2.3 Opportunities
- 5.2.3.1 Advent Of 5g Network To Provide Open Avenues For Large-scale 5g Network Deployment
- 5.2.3.2 Remote And Mission-critical Edge Deployment
- 5.2.3.3 Rapid Adoption Of Edge Computing Solutions Across Sectors
- 5.2.3.4 Emergence Of Autonomous Automobiles And Connected Car Infrastructure
- 5.2.4 Challenges
- 5.2.4.1 Increasing Data Privacy And Security Concerns
- 5.2.4.2 Skill Gap And Operational Expertise
- 5.2.4.3 Challenges In Compatibility Or Interoperability
- 5.3 Case Study Analysis
- 5.3.1 Akamai Helped Matrimony.Com Achieve Website Optimization And Increased User Retention
- 5.3.2 Espn Adopted Microsoft’s Innovative Technologies To Reshape Future Of Sports Production
- 5.3.3 Vmware Helped Northern Beaches Council Be Pacesetter To Drive And Digitalize Regional Municipal Services
- 5.3.4 Maserati Msg Racing Automated Workflow Enablement With Hewlett-packard Enterprise To Optimize Team Performance
- 5.3.5 99bridges Helped Human Habits Restore And Protect Environment With Cisco’s Iot Operations Dashboard
- 5.4 Ecosystem Analysis
- 5.5 Supply Chain Analysis
- 5.5.1 Edge Computing Technology Providers
- 5.5.2 Edge Computing Hardware Vendors
- 5.5.3 Network Service Providers
- 5.5.4 End Users
- 5.6 Technology Analysis
- 5.6.1 Key Technologies
- 5.6.1.1 Edge Ai
- 5.6.1.2 Virtual Network Functions
- 5.6.1.3 Content Delivery Network
- 5.6.1.4 Container Orchestration
- 5.6.1.5 Containerization
- 5.6.1.6 Zero-trust Security
- 5.6.2 Complementary Technologies
- 5.6.2.1 Internet Of Things (Iot)
- 5.6.2.2 Digital Twin
- 5.6.2.3 Remote Device Management
- 5.6.2.4 Multi-access Edge Computing
- 5.6.2.5 Computer Vision Sdks
- 5.6.2.6 Cybersecurity For Edge
- 5.6.3 Adjacent Technologies
- 5.6.3.1 Cloud Computing
- 5.6.3.2 Blockchain
- 5.6.3.3 Ar/Vr
- 5.7 Porter’s Five Forces Analysis
- 5.7.1 Threat Of New Entrants
- 5.7.2 Threat Of Substitutes
- 5.7.3 Bargaining Power Of Suppliers
- 5.7.4 Bargaining Power Of Buyers
- 5.7.5 Intensity Of Competitive Rivalry
- 5.8 Pricing Analysis
- 5.8.1 Average Selling Price Of Key Players, By Region, 2025
- 5.8.2 Indicative Pricing Analysis Of Edge Computing Solutions
- 5.9 Patent Analysis
- 5.10 Regulatory Landscape
- 5.10.1 Regulatory Bodies, Government Agencies, And Other Organizations
- 5.10.1.1 Regulatory Implications And Industry Standards
- 5.10.1.2 General Data Protection Regulation
- 5.10.1.3 Sec Rule 17a-4
- 5.10.1.4 Iso/Iec 27001
- 5.10.1.5 System And Organization Controls 2 Type Ii Compliance
- 5.10.1.6 Financial Industry Regulatory Authority
- 5.10.1.7 Freedom Of Information Act
- 5.10.1.8 Health Insurance Portability And Accountability Act
- 5.10.2 Regulations, By Region
- 5.11 Trends And Disruptions Impacting Customers’ Businesses
- 5.12 Key Stakeholders And Buying Criteria
- 5.12.1 Key Stakeholders In Buying Process
- 5.12.2 Buying Criteria
- 5.13 Key Conferences And Events, 2025–2026
- 5.14 Trade Analysis
- 5.14.1 Import Scenario
- 5.14.2 Export Scenario
- 5.15 Impact Of Generative Ai On Edge Computing Market
- 5.15.1 Top Use Cases & Market Potential
- 5.15.2 Key Use Cases
- 5.15.3 Case Studies
- 5.15.3.1 Case Study: Mcdonald’s With Google Cloud: Ai-powered Edge At Scale
- 5.15.4 Vendor Initiative
- 5.15.4.1 Adlink Technology
- 5.16 Business Models
- 5.16.1 Business Models For Hardware Vendors
- 5.16.2 Business Models For Software Providers
- 5.16.3 Business Models For Service Providers
- 5.17 Investment Landscape And Funding Scenario
- 5.18 Impact Of 2025 Us Tariff
- 5.18.1 Introduction
- 5.18.2 Key Tariff Rates
- 5.18.3 Impact On Country/Region
- 5.18.3.1 North America
- 5.18.3.2 Europe
- 5.18.3.3 Asia Pacific
- 5.18.4 Impact On End-use Industries
- 5.18.4.1 Manufacturing & Industrial (Industrial Iot)
- 5.18.4.2 Telecommunications & 5g Networks
- 5.18.4.3 Healthcare & Life Sciences
- 5.18.4.4 Retail
- 5.18.4.5 Transportation & Automotive
- 5.18.4.6 Energy & Utilities
- 5.18.4.7 Government & Defense
- 5.19 Types Of Data Processed At Edge
- 5.19.1 Unstructured Data
- 5.19.1.1 Text
- 5.19.1.2 Images
- 5.19.1.3 Audio
- 5.19.1.4 Video
- 5.19.1.5 Logs
- 5.19.1.6 Social Media Content
- 5.19.2 Structured Data
- 5.19.2.1 Sensor Data
- 5.19.2.2 Transaction Data
- 5.19.2.3 Tabular Data
- 5.19.2.4 Temporal Data
- 5.19.2.5 Spatial Data
- 5.19.2.6 Multimedia Data
- 6 Edge Computing Market, By Component
- 6.1 Introduction
- 6.1.1 Components: Edge Computing Market Drivers
- 6.2 Edge Hardware
- 6.2.1 Need For Reducing Burden On Cloud And Data Centers To Drive Adoption Of Edge Computing Hardware
- 6.2.2 Edge Servers
- 6.2.2.1 Enhancing Data Processing And Security With Strategically Deployed Edge Servers
- 6.2.2.2 Edge Compute Nodes
- 6.2.2.3 Edge Storage Devices
- 6.2.3 Edge Gateways
- 6.2.3.1 Enabling Efficient, Secure Data Processing Through Advanced Edge Gateway Solutions
- 6.2.3.2 Industrial Edge Gateways
- 6.2.3.3 Iot Edge Gateways
- 6.2.3.4 Cloud Edge Gateways
- 6.2.4 Edge Sensors
- 6.2.4.1 Driving Innovation With Real-time Data Processing Using Edge Sensors Efficiently
- 6.2.4.2 Temperature Sensors
- 6.2.4.3 Humidity Sensors
- 6.2.4.4 Pressure Sensors
- 6.2.4.5 Motion Sensors
- 6.2.5 Edge Devices
- 6.2.5.1 Unlocking Edge Device Potential For Real-time, Secure, And Efficient Computing
- 6.2.5.2 Industrial Pcs (Ipcs)
- 6.2.5.3 Single-board Computers (Sbcs)
- 6.2.5.4 Microcontrollers
- 6.3 Edge Software
- 6.3.1 Edge Computing Software Provides Comprehensive Visibility And Control Over Remote Edge Environment
- 6.3.2 Data Management
- 6.3.2.1 Empowering Efficient Edge Data Management For Security, Scalability, And Innovation
- 6.3.2.2 Data Processing
- 6.3.2.3 Data Analytics
- 6.3.2.4 Data Storage
- 6.3.2.5 Data Security
- 6.3.3 Device Management
- 6.3.3.1 Optimizing Edge Device Management For Reliability, Performance, And Operational Insight
- 6.3.3.2 Device Provisioning
- 6.3.3.3 Firmware And Software Updates
- 6.3.3.4 Device Monitoring
- 6.3.3.5 Device Security
- 6.3.4 Application Management
- 6.3.4.1 Centralized Edge Application Deployment For Enhanced Reliability And Operational Efficiency
- 6.3.4.2 Application Deployment
- 6.3.4.3 Workflow Automation
- 6.3.4.4 Service Orchestration
- 6.3.4.5 Application Security
- 6.3.5 Network Management
- 6.3.5.1 Maximizing Edge Network Performance Through Proactive And Efficient Resource Management
- 6.3.5.2 Connectivity Management
- 6.3.5.3 Performance Monitoring
- 6.3.5.4 Network Optimization
- 6.3.5.5 Network Security
- 6.4 Services
- 6.4.1 Focus On Lowering Risks Associated With Operational Mistakes And Delivering Maximum Product Assurance To Boost Market
- 6.4.2 Professional Services
- 6.4.2.1 Maximizing Edge Computing Success With Specialized Professional Services And Expertise
- 6.4.2.2 Consulting
- 6.4.2.3 Implementation
- 6.4.2.4 Support & Maintenance
- 6.4.3 Managed Services
- 6.4.3.1 Enhancing Edge Infrastructure Efficiency Through Comprehensive Managed Services And Support
- 7 Edge Computing Market, By Application
- 7.1 Introduction
- 7.1.1 Applications: Edge Computing Market Drivers
- 7.2 Real-time Processing & Control
- 7.2.1 Enabling Instant Autonomous Decisions Through On-premises Intelligence For Critical Industrial And Field Applications
- 7.2.2 Industrial Process Control
- 7.2.3 Autonomous Actuation
- 7.2.4 Precision Agriculture
- 7.3 Edge Ai & Inference
- 7.3.1 Enable Localized Ai Decisions At Scale To Accelerate Response Time And Preserve Data Privacy
- 7.3.2 Computer Vision
- 7.3.3 Predictive Maintenance
- 7.3.4 Localized Nlp
- 7.4 Iot & Industrial Automation
- 7.4.1 Streamline Operational Intelligence By Embedding Edge Logic Across Distributed Iot And Industrial Automation Systems
- 7.4.2 Device Management & Protocol Bridging
- 7.4.3 Robotics Coordination
- 7.4.4 Asset & Inventory Tracking
- 7.5 Content Delivery & Media
- 7.5.1 Enhance Content Quality And Reach With Edge-based Media Processing And Distribution Infrastructure
- 7.5.2 Vcdn Caching
- 7.5.3 Dynamic Signage
- 7.5.4 Live-event Transcoding
- 7.6 Immersive & Interactive Experiences
- 7.6.1 Deliver Real-time Immersion By Moving Compute Closer To Users For Ar/Vr, Digital Twins, And Haptics
- 7.6.2 Ar/Vr Rendering
- 7.6.3 Digital-twin Collaboration
- 7.6.4 Haptic-feedback Systems
- 7.7 Other Applications
- 8 Edge Computing Market, By Organization Size
- 8.1 Introduction
- 8.1.1 Organization Sizes: Edge Computing Market Drivers
- 8.2 Large Enterprises
- 8.2.1 Adoption Of Edge Computing Solutions To Enhance Operational Efficiency In Large Enterprises
- 8.3 Small And Medium-sized Enterprises (Smes)
- 8.3.1 Demand For Solutions To Resolve Complexities And Optimize The Cost Of Business Processes To Drive Market
- 9 Edge Computing Market, By Deployment Type
- 9.1 Introduction
- 9.1.1 Deployment Types: Edge Computing Market Drivers
- 9.2 Cloud Edge
- 9.2.1 Unlocking Scalability And Connectivity Benefits Through Cloud Edge Integration
- 9.3 On-premises Edge
- 9.3.1 Maximizing Security And Control With Local Edge Infrastructure Setups
- 9.4 Device Edge
- 9.4.1 Enable Real-time Decision-making At Source With Embedded Processing At Edge Of Devices
- 10 Edge Computing Market, By Vertical
- 10.1 Introduction
- 10.1.1 Verticals: Edge Computing Market Drivers
- 10.2 Manufacturing
- 10.2.1 Edge Computing Offers Cost-effective Ways Of Achieving Remote Monitoring In Manufacturing Companies
- 10.2.2 Manufacturing: Use Cases
- 10.2.2.1 Quality Control
- 10.2.2.2 Process Optimization
- 10.2.2.3 Remote Equipment Monitoring
- 10.2.2.4 Condition-based Monitoring
- 10.2.2.5 Supply Chain Optimization
- 10.3 Energy & Utilities
- 10.3.1 Edge Computing Devices Help Address Issues In Midstream Sector Related To Crude Oil Storage And Transportation
- 10.3.2 Energy & Utilities: Use Cases
- 10.3.2.1 Smart Grids
- 10.3.2.2 Fault Detection
- 10.3.2.3 Distributed Energy Management
- 10.3.2.4 Energy Optimization
- 10.3.2.5 Pipeline Optimization
- 10.4 Software & It Services
- 10.4.1 Delivering Comprehensive Edge Software And It Service Solutions Globally
- 10.4.2 Software & It Services: Use Cases
- 10.4.2.1 Infrastructure As Code (Iac) And Edge Orchestration
- 10.4.2.2 Low-latency Content Delivery & Caching
- 10.4.2.3 Edge-based Devops & Ci/Cd
- 10.4.2.4 Edge-based Disaster Recovery & Failover
- 10.5 Telecommunications
- 10.5.1 Edge Computing Helps Telecom Providers Expand Network Reach With Lower Latency
- 10.5.2 Telecommunications: Use Cases
- 10.5.2.1 Network Optimization
- 10.5.2.2 Mobile Edge Computing (Mec)
- 10.5.2.3 Content Delivery Networks (Cdns)
- 10.5.2.4 Network Slicing
- 10.5.2.5 Edge Caching
- 10.6 Automotive
- 10.6.1 Driving Real-time Intelligence For Safe, Connected, And Autonomous Vehicles
- 10.6.2 Automotive: Use Cases
- 10.6.2.1 Autonomous Driving And Advanced Driver Assistance (Adas)
- 10.6.2.2 Vehicle-to-everything (V2x) Communication And Smart Mobility
- 10.6.2.3 In-vehicle Infotainment And Personalized Experiences
- 10.7 Media & Entertainment
- 10.7.1 Edge Computing Provides Instantaneous Connection And Better Scalability For Content Creation And Distribution
- 10.7.2 Media & Entertainment: Use Cases
- 10.7.2.1 Personalized Content Recommendation
- 10.7.2.2 Real-time Video Streaming
- 10.7.2.3 Edge-based Gaming
- 10.7.2.4 Virtual Production
- 10.7.2.5 Interactive Live Events
- 10.8 Retail & Consumer Goods
- 10.8.1 Edge Computing Leverages New Technologies To Gather Insights On Purchasing Preferences Of Consumers
- 10.8.2 Retail & Consumer Goods: Use Cases
- 10.8.2.1 Real-time Inventory Management
- 10.8.2.2 Personalized Marketing
- 10.8.2.3 In-store Analytics
- 10.8.2.4 Smart Checkout
- 10.8.2.5 Dynamic Pricing
- 10.9 Transportation & Logistics
- 10.9.1 Edge Computing Reduces Data Sharing And Latency, Facilitating Effective And Efficient Connection With Devices And Sensors In Vehicles And Databases
- 10.9.2 Transportation & Logistics: Use Cases
- 10.9.2.1 Fleet Management
- 10.9.2.2 Route Optimization
- 10.9.2.3 Real-time Cargo Monitoring
- 10.9.2.4 Warehouse Automation
- 10.10 Healthcare & Life Sciences
- 10.10.1 Iot And Smart Wearable Edge Devices Record Real-time Vital Information
- 10.10.2 Healthcare & Life Sciences: Use Cases
- 10.10.2.1 Remote Patient Monitoring
- 10.10.2.2 Smart Hospitals
- 10.10.2.3 Secure Data Processing
- 10.10.2.4 Wearable Health Devices
- 10.10.2.5 Genomic Analysis At The Edge
- 10.11 Other Verticals
- 11 Edge Computing Market, By Region
- 11.1 Introduction
- 11.2 North America
- 11.2.1 North America: Edge Computing Market Drivers
- 11.2.2 North America: Macroeconomic Outlook
- 11.2.3 Us
- 11.2.3.1 Higher Adoption Of Edge Computing Solutions And Associated Services (Professional, Managed) To Drive Us Market
- 11.2.4 Canada
- 11.2.4.1 Enhanced Data Security And Operational Efficiency Achieved By Practicing Edge Computing Software And Services
- 11.3 Europe
- 11.3.1 Europe: Edge Computing Market Drivers
- 11.3.2 Europe: Macroeconomic Outlook
- 11.3.3 Uk
- 11.3.3.1 Real-time Data Processing By Companies To Drive Market In Uk
- 11.3.4 Germany
- 11.3.4.1 Strong Emphasis On Industry 4.0 And Digital Transformation Initiatives Taken To Propel Market
- 11.3.5 France
- 11.3.5.1 Real-time Data Processing And Analytics, And Personalized Customer Experiences To Drive The French Market
- 11.3.6 Italy
- 11.3.6.1 Presence Of Key Edge Computing Vendors With Plans To Implement Smart Cities And Industrial Automation To Leverage Market Proliferation
- 11.3.7 Rest Of Europe
- 11.4 Asia Pacific
- 11.4.1 Asia Pacific: Edge Computing Market Drivers
- 11.4.2 Asia Pacific: Macroeconomic Outlook
- 11.4.3 China
- 11.4.3.1 Rapid Proliferation And Surge In Adoption Of Edge Computing Solutions To Drive Chinese Market
- 11.4.4 Japan
- 11.4.4.1 Fusion Of Technologies Such As Ai & Robotics With Edge Computing To Propel Market Growth
- 11.4.5 Australia & New Zealand (Anz)
- 11.4.5.1 Extensive Adoption Of Edge Computing Products To Leverage Market Proliferation In Anz, Increasing Agility In Application Deployment
- 11.4.6 Rest Of Asia Pacific
- 11.5 Middle East & Africa
- 11.5.1 Middle East & Africa: Edge Computing Market Drivers
- 11.5.2 Middle East & Africa: Macroeconomic Outlook
- 11.5.3 Gulf Cooperation Council (Gcc)
- 11.5.3.1 Kingdom Of Saudi Arabia
- 11.5.3.1.1 Fueling Vision 2030 Goals Using Edge Computing Software And Services To Drive Market Adoption
- 11.5.3.2 United Arab Emirates (Uae)
- 11.5.3.2.1 Edge Computing Products To Leverage Data-driven Insights To Gain Competitive Advantage For Uae Businesses
- 11.5.3.3 Other Gcc Countries
- 11.5.4 South Africa
- 11.5.4.1 Edge Computing Software Solves Challenges Such As Lower Latency, Bandwidth, And Data Sovereignty
- 11.5.5 Rest Of Middle East & Africa
- 11.6 Latin America
- 11.6.1 Latin America: Edge Computing Market Drivers
- 11.6.2 Latin America: Macroeconomic Outlook
- 11.6.3 Brazil
- 11.6.3.1 Innovative Edge Computing Practices Across Agriculture, Healthcare, And Urban Infrastructure To Fuel Market Growth
- 11.6.4 Mexico
- 11.6.4.1 Comprehensive Edge Computing Solutions Designed To Meet Diverse Needs Of Mexican Enterprises To Drive Market
- 11.6.5 Rest Of Latin America
- 12 Competitive Landscape
- 12.1 Introduction
- 12.2 Key Players’ Strategies/Right To Win
- 12.3 Market Share Analysis
- 12.4 Product/Brand Comparison
- 12.4.1 Hewlett-packard Enterprise (Hpe)
- 12.4.2 Amazon Web Services (Aws)
- 12.4.3 Dell Technologies
- 12.4.4 Cisco
- 12.4.5 Microsoft
- 12.5 Revenue Analysis
- 12.6 Company Evaluation Matrix: Key Players, 2024
- 12.6.1 Stars
- 12.6.2 Emerging Leaders
- 12.6.3 Pervasive Players
- 12.6.4 Participants
- 12.6.5 Company Footprint: Key Players, 2024
- 12.7 Company Evaluation Matrix: Startups/Smes, 2024
- 12.7.1 Progressive Companies
- 12.7.2 Responsive Companies
- 12.7.3 Dynamic Companies
- 12.7.4 Starting Blocks
- 12.7.5 Competitive Benchmarking: Startup/Smes, 2024
- 12.7.5.1 Detailed List Of Key Startups/Smes
- 12.7.5.2 Competitive Benchmarking Of Startups/Smes
- 12.8 Company Valuation And Financial Metrics Of Key Vendors
- 12.8.1 Company Valuation Of Key Vendors
- 12.8.2 Financial Metrics Of Key Vendors
- 12.9 Competitive Scenario And Trends
- 12.9.1 Product Launches
- 12.9.2 Deals
- 13 Company Profiles
- 13.1 Introduction
- 13.2 Major Players
- 13.2.1 Dell Technologies
- 13.2.1.1 Business Overview
- 13.2.1.2 Products/Solutions/Services Offered
- 13.2.1.3 Recent Developments
- 13.2.1.4 Mnm View
- 13.2.1.4.1 Right To Win
- 13.2.1.4.2 Strategic Choices
- 13.2.1.4.3 Weaknesses And Competitive Threats
- 13.2.2 Aws
- 13.2.2.1 Business Overview
- 13.2.2.2 Products/Solutions/Services Offered
- 13.2.2.3 Recent Developments
- 13.2.2.4 Mnm View
- 13.2.2.4.1 Right To Win
- 13.2.2.4.2 Strategic Choices
- 13.2.2.4.3 Weaknesses And Competitive Threats
- 13.2.3 Microsoft
- 13.2.3.1 Business Overview
- 13.2.3.2 Products/Solutions/Services Offered
- 13.2.3.3 Recent Developments
- 13.2.3.4 Mnm View
- 13.2.3.4.1 Right To Win
- 13.2.3.4.2 Strategic Choices
- 13.2.3.4.3 Weaknesses And Competitive Threats
- 13.2.4 Cisco
- 13.2.4.1 Business Overview
- 13.2.4.2 Products/Solutions/Services Offered
- 13.2.4.3 Recent Developments
- 13.2.4.4 Mnm View
- 13.2.4.4.1 Right To Win
- 13.2.4.4.2 Strategic Choices
- 13.2.4.4.3 Weaknesses And Competitive Threats
- 13.2.5 Hpe
- 13.2.5.1 Business Overview
- 13.2.5.2 Products/Solutions/Services Offered
- 13.2.5.3 Recent Developments
- 13.2.5.4 Deals
- 13.2.5.5 Mnm View
- 13.2.5.5.1 Right To Win
- 13.2.5.5.2 Strategic Choices
- 13.2.5.5.3 Weaknesses And Competitive Threats
- 13.2.6 Ibm
- 13.2.6.1 Business Overview
- 13.2.6.2 Products/Solutions/Services Offered
- 13.2.6.3 Recent Developments
- 13.2.7 Google
- 13.2.7.1 Business Overview
- 13.2.7.2 Products/Solutions/Services Offered
- 13.2.7.3 Recent Developments
- 13.2.8 Nvidia
- 13.2.8.1 Business Overview
- 13.2.8.2 Products/Solutions/Services Offered
- 13.2.8.3 Recent Developments
- 13.2.9 Intel
- 13.2.9.1 Business Overview
- 13.2.9.2 Products/Solutions/Services Offered
- 13.2.9.3 Recent Developments
- 13.2.10 Huawei
- 13.2.10.1 Business Overview
- 13.2.10.2 Products/Solutions/Services Offered
- 13.2.10.3 Recent Developments
- 13.3 Other Companies
- 13.3.1 Nokia
- 13.3.2 Vmware
- 13.3.3 Fastly
- 13.3.4 Adlink
- 13.3.5 Oracle
- 13.3.6 Semtech
- 13.3.7 Moxa
- 13.3.8 Belden
- 13.3.9 Ge Digital
- 13.3.10 Digi International
- 13.3.11 Litmus Automation
- 13.3.12 Zededa
- 13.3.13 Clearblade
- 13.3.14 Vapor Io
- 13.3.15 Sixsq
- 13.3.16 Edgeworx
- 13.3.17 Sunlight.Io
- 13.3.18 Saguna Networks
- 13.3.19 Alef Edge
- 13.3.20 Mutable
- 13.3.21 Zte Corporation
- 13.3.22 Advantech Co., Ltd.
- 13.3.23 Lenovo Group Ltd
- 14 Adjacent And Related Markets
- 14.1 Introduction
- 14.1.1 Related Markets
- 14.1.2 Limitations
- 14.2 Cloud Computing Market
- 14.3 Edge Ai Software Market
- 15 Appendix
- 15.1 Discussion Guide
- 15.2 Knowledgestore: Marketsandmarkets’ Subscription Portal
- 15.3 Customization Options
- 15.4 Related Reports
- 15.5 Author Details
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