Edge Computing Market

Edge Computing Market by Component (Hardware, Software, Services), Application (Real-time Data Processing & Analysis, Predictive Maintenance, & Optimization), Organization Size (Large Enterprises, SMEs), Vertical and Region - Global Forecast to 2029

Report Code: TC 5693 Apr, 2024, by marketsandmarkets.com

[210 Pages Report] The Edge computing market size is expected to grow from USD 60.0 billion in 2024 to USD 110.6 billion by 2029 at a Compound Annual Growth Rate (CAGR) of 13.0% during the forecast period. The impact of the recession on the market is covered throughout the report. Businesses across industries require real-time insights to drive operational efficiency, improve customer experiences, and enable predictive maintenance. Edge computing facilitates data processing closer to the source, enabling faster decision-making and response times.

Edge Computing Market

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Edge Computing Market Opportunities

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Recession Impact on the Global Edge Computing Market

A recession can significantly impact the Edge computing market across organizations, industry verticals, and regions. Businesses may delay investments in advanced technologies as they prioritize cost-cutting over innovation. Startups in the field may struggle to secure funding as investors become more risk-averse. The impact of a recession on the digital media Edge computing market could be mitigated to some extent by the growth of online advertising. However, the industry/market might encounter hurdles due to reduced consumer spending and intensified competition for advertising revenue. Declining consumer expenditure during economic downturns could dampen the demand for entertainment offerings such as recreational tickets and cable TV subscriptions, reducing the earnings of video solutions and service firms engaged in their production and distribution.

The impact of recession is likely to fuel volatility in the global economy and capital markets in the upcoming three years (2024 through 2027), many economists believe. The experts also foresee an increase in localization, strengthening of geoeconomic blocs, and a widening divergence between the Global North and South over the upcoming three-year timeframe. According to the Chief Economists Outlook survey, World Economic Forum, January 2024, 69% of economists expect Geoeconomic fragmentation to accelerate in 2024. According to chief economists, in the upcoming three years (2024 through 2027), the following geopolitical developments are predicted to sharply increase statistics such as 87% volatility in the global economy, 86% localization of economic activity, 80% stock market volatility, 80% geoeconomic blocs of economic activity, 57% inequality and North-South divergence, 36% disruption in global supply chains, 13% globalization of economic activity. 50% of economists have predicted generative AI to be commercially disruptive through 2024.

Edge computing market Dynamics

Driver: Integration of AI/ML, a critical factor that leverage(s) global Edge computing market significantly

Integrating artificial intelligence (AI) and machine learning (ML) algorithms into edge computing devices enables real-time data analytics and decision-making at the network edge. Edge-based AI/ML applications, such as predictive maintenance, anomaly detection, and personalized content delivery, leverage local processing capabilities to analyze data in near real-time, enabling organizations to derive actionable insights and improve operational efficiency. AI/ML integration drives the edge computing market by allowing real-time data analysis and decision-making at the edge. By deploying AI and ML algorithms closer to where data is generated, organizations can extract valuable insights faster, optimize operations, and enhance user experiences. This integration also reduces the need for extensive data transmission to centralized cloud servers, minimizing latency and bandwidth requirements while improving edge computing solutions' overall efficiency and responsiveness.

Restraints: Complex nature of the edge computing infrastructure

Implementing edge computing solutions often requires significant investment in infrastructure, including edge devices, networking equipment, and management systems. This complexity can pose a barrier to adoption for organizations lacking the expertise or resources to deploy and maintain edge computing environments effectively. The complexity of infrastructure deploying edge computing solutions is a limiting factor for the global market. Organizations often face challenges setting up and managing the required edge devices, networking components, and management systems. This complexity can deter adoption, particularly for businesses lacking the expertise or resources to effectively navigate the intricacies of deploying and maintaining edge computing environments.

Opportunities: Tailored edge computing solutions address unique challenges and requirements that increase adoption and innovation across sectors

Customizing edge computing solutions to meet various industries' specific requirements presents a significant opportunity for market growth. Industries such as manufacturing, healthcare, transportation & logistics have distinct challenges and demands that can be effectively addressed through tailored edge computing solutions. For instance, in manufacturing, edge computing can optimize production processes and enable predictive maintenance, while in healthcare, it can support remote patient monitoring and real-time data analysis. Similarly, edge computing can enhance customer experiences in retail through personalized services and efficient inventory management. By catering to these industry needs, edge computing providers can unlock new avenues for adoption and innovation, driving the market forward.

Challenges: Challenges in compatibility or interoperability

The heterogeneous nature of edge computing ecosystems, with various devices, protocols, and standards, can lead to interoperability challenges. Integrating disparate edge devices and systems from different vendors may require extensive customization and integration efforts, potentially limiting the scalability and flexibility of edge computing deployments. This can hinder seamless data exchange and collaboration across edge nodes, affecting the overall effectiveness of edge computing solutions. Interoperability issues present a significant challenge to the global edge computing market. As edge solutions involve diverse hardware, software, and networking components from different vendors, ensuring seamless interoperability between these elements becomes crucial. A lack of standardized protocols and interfaces across devices and platforms can lead to compatibility issues, hindering the integration and scalability of edge computing deployments. This challenge complicates adoption and may deter organizations from investing in edge computing solutions.

Edge computing Market Ecosystem

Top Companies in Edge Computing Market

Based on Components, Hardware will hold the largest market share in the Edge computing market during the forecast period.

In the hardware segment of the edge computing market, a diverse array of devices and equipment plays a crucial role in enabling distributed computing closer to data sources. This includes edge servers, routers, switches, gateways, sensors, and specialized edge computing chips. These hardware components are designed to efficiently process and analyze data at the edge, reducing latency and enhancing real-time decision-making capabilities. As edge computing continues to increase across industries, demand for optimized and scalable hardware solutions is rising, driving innovation and investment in this market segment.

Based on Application, the IoT & sensor data utilization segment will record the highest CAGR in the Edge computing market during the forecast period.

Utilizing IoT and sensor data in edge computing involves processing and analyzing data collected from connected devices and sensors at the network edge. Organizations can reduce latency, improve real-time decision-making, and optimize bandwidth usage by processing data closer to the source. This enables faster insights and actions, enhancing operational efficiency and productivity. Additionally, leveraging IoT and sensor data at the edge allows organizations to extract valuable insights, detect anomalies, and predict maintenance needs, leading to improved asset performance, reduced downtime, and lower maintenance costs. Overall, effectively utilizing IoT and sensor data in edge computing drives innovation, accelerates digital transformation, and delivers tangible business benefits.

North America is predicted to hold the largest Edge computing market share during the forecast period.

In North America, the edge computing market is witnessing significant growth driven by the increasing adoption of IoT devices, rising demand for low-latency processing in various industries, and advancements in 5G technology. Major players in the region are investing heavily in edge computing infrastructure to support emerging applications such as autonomous vehicles, smart cities, and industrial automation. Key technology hubs and a robust ecosystem of edge computing vendors contribute to the region's leadership in this market. North America is expected to continue leading the global edge computing market with further investments in edge infrastructure, partnerships, and innovative use cases across industries.

North American Edge Computing Market Size, and Share

Key market players

The Edge computing market is dominated by startups as well as established companies such as HPE (US), Dell Technologies (US), AWS (US), Cisco (US), and Microsoft (US), among others. These vendors have a large customer base, a strong geographic footprint, and organized distribution channels. They incorporate organic and inorganic growth strategies, including product launches, deals, and business expansions, boosting revenue generation.

The study includes an in-depth competitive analysis of these critical Edge computing market players with their company profiles, recent developments, and key market strategies.

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Scope of the Report

Report Metrics

Details

Market size available for years

2019-2029

Base year considered

2023

Forecast period

2024–2029

Forecast units

Value (USD Million/Billion)

Segments Covered

Component, Application, Organization Size, and Vertical

Regions covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies covered

IBM (US), HPE (US), Microsoft (US), Dell Technologies (US), Google (US), AWS (US), Cisco (US), NVIDIA (US), Intel (US), Huawei (China), VMware (US), Nokia (Finland), Fastly (US), ADLINK Technology (Taiwan), Juniper Networks (US), Oracle (US), Semtech (US), Moxa (US), Belden (US), GE Digital (US), Digi International (US), Litmus Automation (US), StackPath (US), ClearBlade (US), Vapor IO (US), SixSq (Switzerland)

This research report categorizes the Edge computing market to forecast revenue and analyze trends in each of the following submarkets:

Based on Component:
  • Hardware
    • Edge Servers
    • Edge Gateways
    • Edge Sensors
    • Edge Devices
  • Software
    • Data management
    • Device management
    • Application management
    • Network management
  • Services
    • Professional services
    • Managed services
Based on Application:
  • Real-time data processing & analytics
  • Real-time cargo monitoring
  • Predictive maintenance & optimization
  • IoT & sensor data utilization
  • Personalized customer experiences
Based on Organization Size:
  • SMEs
  • Large Enterprises
Based on Verticals:
  • Manufacturing
  • Energy & Utilities
  • Government & Defense
  • Telecommunications
  • Media & Entertainment
  • Retail & Consumer Goods
  • Transportaion & Logistics
  • Healthcare & Life Sciences
  • Other Verticals
Based on Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • Australia & New Zealand
    • Rest of Asia Pacific
  • Middle East & Africa
    • Gulf Cooperation Council (GCC)
      • UAE
      • Saudi Arabia
      • Rest of GCC
    • South Africa
    • Rest of the Middle East & Africa
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America

Recent Developments

  • In February 2024, AWS entered this agreement to help NTT DOCOMO deploy its nationwide 5G open radio access network (RAN) in Japan. With this development, AWS will continue to enable its truly cloud-native, sustainable, and AI-driven 5G networks. AWS is curious about its journey with NTT DOCOMO to deliver 5G Core and Open RAN with new levels of resiliency, energy efficiency, and enhanced customer experiences. (AWS has been working with CSPs for quite some time to develop solutions in advanced networking, silicon innovation, and edge services for 5G technology).
  • In February 2024, Cisco collaborated with Intel. Cisco's innovation center, partners, and other vendors gained the opportunity to authenticate their 5G end devices and demonstration systems using Cisco's advanced Mobility Services Platform and Intel Mobile Edge Computing applications. Moreover, Cisco has collaborated with various radio access network (RAN) vendors to actualize innovative private 5G scenarios tailored for practical deployment in multiple industries.
  • In January 2024, HPE acquired Juniper Networks to create the pathway for advanced networking solutions that bring cloud-native capabilities, AI management, and control for hybrid cloud environments when combined with HPE Aruba Networking. It is noteworthy in a related development that Juniper Networks launched its new security services architecture for edge data centers in October 2023.
  • In September 2023, Microsoft Advertising launched a new video advertisement (ad) offering called Video and Connected TV (CTV) ads (advertising strategy). CTV feature expands ad-serving possibilities simultaneously while leveraging audience intelligence to target high-value customers and increase the conversion rate. CTV ads are served across Microsoft's sites and publisher partners and on connected TV in the US.
  • In May 2023, Dell launched the NativeEdge software platform that simplifies, secures, and automates edge infrastructure and application deployment. Dell NativeEdge offers extensive capabilities such as secure device onboarding, remote management, and multi-cloud application orchestration. It is uniquely designed to support various enterprise edge scenarios, facilitating seamless deployment without manual intervention. It also features an open system architecture compatible with multiple hardware within Dell's comprehensive portfolio. Equipped with built-in Zero Trust functionality, Dell NativeEdge enhances security measures by safeguarding customers' applications and infrastructure across their entire edge environment.

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TABLE OF CONTENTS
 
1 INTRODUCTION 
    1.1 OBJECTIVES OF THE STUDY 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS & EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED FOR THE STUDY
    1.4 CURRENCY CONSIDERED 
    1.5 STAKEHOLDERS 
    1.6 SUMMARY OF CHANGES 
           1.6.1 RECESSION IMPACT
 
2 RESEARCH METHODOLOGY 
    2.1 RESEARCH APPROACH 
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key industry insights
    2.2 MARKET BREAKUP & DATA TRIANGULATION 
    2.3 MARKET SIZE ESTIMATION 
    2.4 MARKET FORECAST 
    2.5 RESEARCH ASSUMPTIONS 
    2.6 LIMITATIONS OF THE STUDY 
    2.7 IMPACT OF RECESSION ON THE GLOBAL EDGE COMPUTING MARKET 
 
3 EXECUTIVE SUMMARY  
 
4 PREMIUM INSIGHTS 
    4.1 BRIEF OVERVIEW OF THE EDGE COMPUTING MARKET 
    4.2 MARKET, BY COMPONENT, 2024 VS 2029 
    4.3 MARKET, BY APPLICATION, 2024 VS 2029 
    4.4 MARKET, BY ORGANIZATION SIZE, 2024 VS 2029 
    4.5 MARKET, BY VERTICAL, 2024 VS 2029 
    4.6 EDGE COMPUTING MARKET: REGIONAL SCENARIO, 2024 VS 2029 
 
5 MARKET OVERVIEW & INDUSTRY TRENDS 
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           5.2.1 DRIVERS
           5.2.2 RESTRAINTS
           5.2.3 OPPORTUNITIES
           5.2.4 CHALLENGES
    5.3 CASE STUDY ANALYSIS 
           5.3.1 CASE STUDY 1
           5.3.2 CASE STUDY 2
           5.3.3 CASE STUDY 3
           5.3.4 CASE STUDY 4
           5.3.5 CASE STUDY 5
    5.4 VALUE CHAIN ANALYSIS 
    5.5 ECOSYSTEM ANALYSIS 
    5.6 PORTER’S FIVE FORCES ANALYSIS 
    5.7 PRICING ANALYSIS 
           5.7.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOFTWARE
           5.7.2 AVERAGE SELLING PRICE TREND, BY REGION
    5.8 TECHNOLOGY ANALYSIS 
           5.8.1 KEY TECHNOLOGIES
                    5.8.1.1 Edge AI
                    5.8.1.2 Edge Analytics
                    5.8.1.3 Edge Security
           5.8.2 COMPLIMENTARY TECHNOLOGIES
                    5.8.2.1 Internet of Things (IoT)
                    5.8.2.2 Blockchain
                    5.8.2.3 Containerization and Orchestration
           5.8.3 ADJACENT TECHNOLOGIES
                    5.8.3.1 Augmented Reality (AR) and Virtual Reality (VR)
                    5.8.3.2 Fog Computing
                    5.8.3.3 5G Networks
    5.9 PATENT ANALYSIS 
    5.10 TRENDS/DISRUPTIONS IMPACTING BUYERS 
    5.11 REGULATORY LANDSCAPE 
           5.11.1 REGULATORY BODIES, GOVERNMENT AGENCIES, & OTHER ORGANIZATIONS
           5.11.2 REGULATIONS BY REGION
    5.12 KEY STAKEHOLDERS & BUYING CRITERIA 
           5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
           5.12.2 BUYING CRITERIA
    5.13 KEY CONFERENCES & EVENTS (2024-2025) 
    5.14 TRADE ANALYSIS 
    5.15 BUSINESS MODEL ANALYSIS 
    5.16 INVESTMENT & FUNDING SCENARIO 
    5.17 TYPES OF DATA PROCESSED AT THE EDGE 
           5.17.1 UNSTRUCTURED DATA
                    5.17.1.1 Text
                    5.17.1.2 Images
                    5.17.1.3 Audio
                    5.17.1.4 Video
                    5.17.1.5 Logs
                    5.17.1.6 Social Meedia Content
           5.17.2 STRUCTURED DATA
                    5.17.2.1 Sensor Data
                    5.17.2.2 Transaction Data
                    5.17.2.3 Tabular Data
                    5.17.2.4 Temporal Data
                    5.17.2.5 Spatial Data
                    5.17.2.6 Multimedia Data
 
6 EDGE COMPUTING MARKET, BY COMPONENT 
    6.1 INTRODUCTION 
           6.1.1 COMPONENT: EDGE COMPUTING MARKET DRIVERS
    6.2 HARDWARE 
           6.2.1 EDGE SERVERS
                    6.2.1.1 Edge Compute Nodes
                    6.2.1.2 Edge Storage Devices
           6.2.2 EDGE GATEWAYS
                    6.2.2.1 Industrial Edge Gateways
                    6.2.2.2 IoT Edge Gateways
                    6.2.2.3 Cloud Edge Gateways
           6.2.3 EDGE SENSORS
                    6.2.3.1 Temperature sensors
                    6.2.3.2 Humidity sensors
                    6.2.3.3 Pressure sensors
                    6.2.3.4 Motion sensors
           6.2.4 EDGE DEVICES
                    6.2.4.1 Industrial PCs (IPC)
                    6.2.4.2 Single-Board Computers (SBCs)
                    6.2.4.3 Microcontrollers
    6.3 SOFTWARE 
           6.3.1 DATA MANAGEMENT
                    6.3.1.1 Data Processing
                    6.3.1.2 Data Analytics
                    6.3.1.3 Data Storage
                    6.3.1.4 Data Security
           6.3.2 DEVICE MANAGEMENT
                    6.3.2.1 Device Provisioning
                    6.3.2.2 Firmware and Software Updates
                    6.3.2.3 Device Monitoring
                    6.3.2.4 Device Security
           6.3.3 APPLICATION MANAGEMENT
                    6.3.3.1 Application Deployment
                    6.3.3.2 Workflow Automation
                    6.3.3.3 Service Orchestration
                    6.3.3.4 Application Securit
           6.3.4 NETWORK MANAGEMENT
                    6.3.4.1 Connectivity Management
                    6.3.4.2 Performance Monitoring
                    6.3.4.3 Network Optimization
                    6.3.4.4 Network Security
    6.4 SERVICES 
           6.4.1 PROFESSIONAL SERVICES
                    6.4.1.1 Consulting
                    6.4.1.2 Implementation
                    6.4.1.3 Support & Maintenance
           6.4.2 MANAGED SERVICES
 
7 EDGE COMPUTING MARKET, BY APPLICATION 
    7.1 INTRODUCTION 
           7.1.1 APPLICATION: MARKET DRIVERS
           7.1.2 REAL-TIME DATA PROCESSING & ANALYTICS
                    7.1.2.1 Stream Processing
                    7.1.2.2 Complex Event Processing (CEP)
                    7.1.2.3 Data Fusion
           7.1.3 PREDICTIVE MAINTENANCE & OPTIMIZATION
                    7.1.3.1 Predictive Maintenance
                    7.1.3.2 Performance Optimization
                    7.1.3.3 Resource Allocation
           7.1.4 IOT & SENSOR DATA UTILIZATION
                    7.1.4.1 IoT Device Management
                    7.1.4.2 Sensor Data Analysis
                    7.1.4.3 Edge-to-Cloud Integration
           7.1.5 REMOTE MONITORING & MANAGEMENT
                    7.1.5.1 Device Monitoring
                    7.1.5.2 Command and Control
                    7.1.5.3 Alerting and Notification
           7.1.6 PERSONALIZED CUSTOMER EXPERIENCES
                    7.1.6.1 User Behavior Analysis
                    7.1.6.2 Contextual Content Delivery
                    7.1.6.3 Predictive Recommendations
           7.1.7 OTHER APPLICATIONS (EFFICIENT CONTENT DELIVERY & STREAMING, ENERGY MANAGEMENT & OPTIMIZATION, SECURITY & COMPLIANCE ASSURANCE)
 
8 EDGE COMPUTING MARKET, BY ORGANIZATION SIZE 
    8.1 INTRODUCTION 
           8.1.1 ORGANIZATION SIZE: MARKET DRIVERS
    8.2 LARGE ENTERPRISES 
    8.3 SMALL & MEDIUM-SIZED ENTERPRISES 
 
9 EDGE COMPUTING MARKET, BY VERTICAL 
    9.1 INTRODUCTION 
           9.1.1 VERTICAL: MARKET DRIVERS
    9.2 MANUFACTURING 
           9.2.1 MANUFACTURING: USE CASES
                    9.2.1.1 Quality control
                    9.2.1.2 Process Optimization
                    9.2.1.3 Remote equipment monitoring
                    9.2.1.4 Condition-based Monitoring
                    9.2.1.5 Supply chain optimization
    9.3 ENERGY & UTILITIES 
           9.3.1 ENERGY & UTILITIES: USE CASES
                    9.3.1.1 Smart grids
                    9.3.1.2 Fault detection
                    9.3.1.3 Distributed energy management
                    9.3.1.4 Energy optimization
                    9.3.1.5 Pipeline optimization
    9.4 GOVERNMENT & DEFENSE 
           9.4.1 GOVERNMENT & DEFENSE: USE CASES
                    9.4.1.1 Smart cities
                    9.4.1.2 Traffic management
                    9.4.1.3 Environmental monitoring and pollution control
                    9.4.1.4 Public safety and emergency response
                    9.4.1.5 Border surveillance and security
    9.5 TELECOMMUNICATIONS 
           9.5.1 TELECOMMUNICATIONS: USE CASES
                    9.5.1.1 Netowrk optimization
                    9.5.1.2 Mobile Edge Computing (MEC)
                    9.5.1.3 Content Delivery Networks (CDNs)
                    9.5.1.4 Network slicing
                    9.5.1.5 Edge caching
    9.6 MEDIA & ENTERTAINMENT 
           9.6.1 MEDIA & ENTERTAINMENT: USE CASES
                    9.6.1.1 Personalized content recommendation
                    9.6.1.2 Real-time video streaming
                    9.6.1.3 Edge-based gaming
                    9.6.1.4 Virtual production
                    9.6.1.5 Interactive live events
    9.7 RETAIL & CONSUMER GOODS 
           9.7.1 RETAIL & CONSUMER GOODS: USE CASES
                    9.7.1.1 Real-time inventory management
                    9.7.1.2 Personalized marketing
                    9.7.1.3 In-store analytics
                    9.7.1.4 Smart checkout
                    9.7.1.5 Dynamic pricing
    9.8 TRANSPORTATION & LOGISTICS 
           9.8.1 TRANSPORTATION & LOGISITCS: USE CASES
                    9.8.1.1 Fleet management
                    9.8.1.2 Route optimization
                    9.8.1.3 Real-time cargo monitoring
                    9.8.1.4 Warehouse automation
                    9.8.1.5 Autonomous vehicles
    9.9 HEALTHCARE & LIFE SCIENCES 
           9.9.1 HEALTHCARE & LIFE SCIENCES : USE CASES
                    9.9.1.1 Remote patient monitoring
                    9.9.1.2 Smart hospitals
                    9.9.1.3 Secure data processing
                    9.9.1.4 Wearable health devices
                    9.9.1.5 Genomic analysis at the edge
    9.10 OTHER VERTICALS (EDUCATION AND BFSI) 
 
10 EDGE COMPUTING  MARKET, BY REGION 
     10.1 INTRODUCTION 
     10.2 NORTH AMERICA 
             10.2.1 NORTH AMERICA: MARKET DRIVERS
             10.2.2 NORTH AMERICA: RECESSION IMPACT
             10.2.3 US
             10.2.4 CANADA
     10.3 EUROPE 
             10.3.1 EUROPE: MARKET DRIVERS
             10.3.2 EUROPE: RECESSION IMPACT
             10.3.3 UK
             10.3.4 GERMANY
             10.3.5 FRANCE
             10.3.6 ITALY
             10.3.7 REST OF EUROPE
     10.4 ASIA PACIFIC 
             10.4.1 ASIA PACIFIC: MARKET DRIVERS
             10.4.2 ASIA PACIFIC: RECESSION IMPACT
             10.4.3 CHINA
             10.4.4 JAPAN
             10.4.5 AUSTRALIA & NEW ZEALAND
             10.4.6 REST OF ASIA PACIFIC
     10.5 MIDDLE EAST & AFRICA 
             10.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
             10.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
             10.5.3 GCC COUNTRIES
                       10.5.3.1 UAE
                       10.5.3.2 Saudi Arabia
                       10.5.3.3 Rest of GCC Countries
             10.5.4 SOUTH AFRICA
             10.5.5 REST OF MIDDLE EAST & AFRICA
     10.6 LATIN AMERICA 
             10.6.1 LATIN AMERICA: MARKET DRIVERS
             10.6.2 LATIN AMERICA: RECESSION IMPACT
             10.6.3 BRAZIL
             10.6.4 MEXICO
             10.6.5 REST OF LATIN AMERICA
 
11 COMPETITIVE LANDSCAPE 
     11.1 INTRODUCTION 
     11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN  
     11.3 REVENUE ANALYSIS 
     11.4 COMPANY VALUATION & FINANCIAL METRICS 
     11.5 MARKET SHARE ANALYSIS 
     11.6 PRODUCT/BRAND COMPARISON 
     11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 
             11.7.1 STARS
             11.7.2 EMERGING LEADERS
             11.7.3 PERVASIVE PLAYERS
             11.7.4 PARTICIPANTS
             11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
                       11.7.5.1 COMPANY FOOTPRINT
                       11.7.5.2 REGION FOOTPRINT
                       11.7.5.3 COMPONENT FOOTPRINT
                       11.7.5.4 APPLICATION FOOTPRINT
                       11.7.5.5 ORGANIZATION SIZE FOOTPRINT
                       11.7.5.6 VERTICAL FOOTPRINT
     11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 
             11.8.1 PROGRESSIVE COMPANIES
             11.8.2 RESPONSIVE COMPANIES
             11.8.3 DYNAMIC COMPANIES
             11.8.4 STARTING BLOCKS
             11.8.5 COMPETITIVE BENCHMARKING: STARTUP/SMES, 2023
                       11.8.5.1 DETAILED LIST OF KEY STARTUPS/SMES
                       11.8.5.2 COMPETITIVE BENCHMARKING OF KEY STARTUPS
     11.9 KEY MARKET DEVELOPMENTS 
             11.9.1 NEW LAUNCHES
             11.9.2 DEALS
             11.9.3 OTHERS
 
12 COMPANY PROFILES 
             12.1.1 AWS
             12.1.2 CISCO
             12.1.3 DELL TECHNOLOGIES
             12.1.4 GOOGLE
             12.1.5 HPE
             12.1.6 HUAWEI
             12.1.7 IBM
             12.1.8 INTEL
             12.1.9 MICROSOFT
             12.1.10 NOKIA
             12.1.11 LITMUS AUTOMATION
             12.1.12 VMWARE
             12.1.13 SIXSQ
             12.1.14 FASTLY
             12.1.15 STACKPATH
             12.1.16 VAPOR IO
             12.1.17 ADLINK
             12.1.18 CAPGEMINI
             12.1.19 GE DIGITAL
             12.1.20 MOXA
             12.1.21 SIERRA WIRELESS
             12.1.22 DIGI INTERNATIONAL
             12.1.23 JUNIPER NETWORKS
             12.1.24 EDGECONNEX
             12.1.25 BELDEN
             12.1.26 AXELLIO
             12.1.27 SAGUNA NETWORKS
             12.1.28 CLEARBLADE
             12.1.29 EDGE INTELLIGENCE
             12.1.30 EDGEWORX
             12.1.31 SUNLIGHT.IO
             12.1.32 MUTABLE
             12.1.33 HIVECELL
             12.1.34 SECTION
             12.1.35 EDGEIQ
*Note –This is a tentative list of vendors; & as the research progresses the vendors will be finalized for the profiling section
 
13 ADJACENT MARKETS 
     13.1 INTRODUCTION TO ADJACENT MARKETS 
     13.2 LIMITATIONS 
     13.3 EDGE COMPUTING MARKET ECOSYSTEM & ADJACENT MARKETS 
     13.4 ADJACENT MARKET 1 
     13.5 ADJACENT MARKET 2 
 
14 APPENDIX 
     14.1 DISCUSSION GUIDE 
     14.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     14.3 AVAILABLE CUSTOMIZATIONS 
     14.4 RELATED REPORTS 
     14.5 AUTHOR DETAILS 

This research study involved extensive secondary sources, directories, and databases, such as Bloomberg BusinessWeek, EconoTimes, and Factiva, to identify and collect information useful for this technical, market-oriented, and commercial study of the Edge Computing market. The global Edge Computing market size is obtained by evaluating its penetration among the major vendors and their components in this market. A few startups and private companies were interviewed to gain better visibility and in-depth knowledge of the market across regions. In addition, a few government associations, public sources, conferences, webinars, journals, magazines, articles, and MarketsandMarkets internal repositories were referred to arrive at the actual market size.

The primary sources were mainly the industry experts from the core and related industries and preferred system developers, service providers, system integrators, resellers, partners, standards, and certification organizations from companies and organizations related to various segments of the Edge Computing industry's value chain. In-depth interviews were conducted with various primary respondents, including key industry participants, subject matter experts, C-level executives of key market players, and industry consultants, to obtain and verify critical qualitative and quantitative information and to assess the prospects.

Secondary Research

The market size of the company component Edge Computing and services was determined based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality.

In the secondary research process, various sources were referred to to identify and collect information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors' websites. Additionally, the spending of various countries on Edge Computing was extracted from the respective sources. Secondary research was mainly used to obtain the critical information related to the industry's value chain and supply chain to identify the key players based on solutions, services, market classification, and segmentation according to components of the major players, industry trends related to components, users, and regions, and the key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various sources from the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from Edge Computing vendors, industry associations, and independent consultants; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, the latest trends disrupting the market, new use cases implemented, data on revenue collected from products and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped me understand various trends related to technology, components, end users, and regions. Demand-side stakeholders, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Security Officers (CSOs), and digital initiatives project teams, were interviewed to understand the buyer's perspective on suppliers, products, service providers, and their current use, which would affect the overall Edge Computing market.

Edge Computing  Market Size, and Share

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Market Size Estimation

This section of the report highlights different methods to determine the Edge Computing market size. The research method involved the use of top-down and bottom-up approaches.

The top-down and bottom-up approaches were used to estimate and validate the size of the Edge Computing market and the size of various dependent subsegments. The research methodology used to estimate the market size included the following details:

  • The key players in the market were identified through secondary research, and their revenue contributions in respective regions were determined through primary and secondary research.
  • This entire procedure included studying top market players' annual and financial reports and extensive interviews for key insights from industry leaders, such as CEOs, VPs, directors, and marketing executives.
  • All percentage splits and breakups were determined using secondary sources and verified through primary sources.
  • All possible parameters affecting the market covered in this research study were accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. This data was consolidated and added with detailed input and analysis from MarketsandMarkets.

Top-down approach

The top-down approach prepared an exhaustive list of all vendors' offerings in the Edge Computing market. The revenue contribution for all vendors in the market was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor was evaluated based on its components. The aggregate of all companies' revenues was extrapolated to reach the overall market size. Each subsegment was further studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included obtaining critical insights from industry leaders, such as CEOs, VPs, directors, and marketing executives. The market was derived from adopting Edge Computing solutions by different verticals. The market numbers were further triangulated with the existing MarketsandMarkets repository for validation.

Bottom-up approach

In the bottom-up approach, the adoption trend of Edge Computing in major countries for regions that contribute to most of the market share was identified. The adoption trend of Edge Computing, along with different use cases concerning their business segments, was identified and extrapolated for cross-validation. Weightage was given to the use cases identified in other areas for the calculation. An exhaustive list of all vendors' component solutions and services in the Edge Computing market was prepared. The revenue contribution of all vendors in the market was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Vendors with Edge Computing components were considered to evaluate the market size. Each vendor was evaluated based on its components across user types. The aggregate of all companies' revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its market size and regional penetration.

Based on these numbers, the regional split was determined by primary and secondary sources. The procedure included an analysis of the market's regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socioeconomic analysis of each country, strategic vendor analysis of foremost Edge Computing solutions and service providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, this study determined and confirmed the exact values of the overall market size and its segments' market size.

Edge computing market: Top-down and Bottom-Up approaches

Edge Computing Market Top Down and Bottom Up Approach

To know about the assumptions considered for the study, Request for Free Sample Report

Data Triangulation

The market was divided into several segments and subsegments using the previously described market size estimation procedures once the overall market size was determined. When required, market breakdown and data triangulation procedures were employed to complete the market engineering process and specify the exact figures for every market segment and subsegment. The data was triangulated by examining several variables and patterns from government entities' supply and demand sides.

Market Definition

Considering various sources and associations, MarketsandMarkets defines Edge Computing as "the practice of processing data near the source of generation, rather than relying on a centralized data processing warehouse or cloud server. This approach reduces latency and bandwidth usage by processing data closer to where it is generated, typically at the network's edge, such as on IoT devices, routers, or other connected devices. The market for edge computing encompasses hardware, software, and services aimed at enabling efficient and decentralized data processing, storage, and analysis at the network's edge. It caters to manufacturing, healthcare, transportation, telecommunications, and more industries, where real-time data processing and low-latency applications are essential".

Key Stakeholders

  • Training and consulting service providers
  • Information Technology (IT) infrastructure providers
  • Component providers
  • System Integrators (SI)
  • Support service providers
  • Cloud Service Providers (CSPs)
  • Government organizations and standardization bodies
  • Datacenter providers
  • Regional associations
  • Independent hardware and software vendors
  • Value-added resellers and distributors

Report Objectives

  • To define, describe, and forecast the Edge computing market basis component (hardware, software, services), application, organization size, vertical, and region
  • To offer comprehensive details regarding the primary variables impacting the market's growth (drivers, restraints, opportunities, and challenges)
  • To determine the high-growth market sectors to assess the opportunities for stakeholders in the market
  • To forecast the market size for five major regions—North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
  • To analyze the subsegments of the market concerning individual growth trends, prospects, and contributions to the overall market
  • To create a thorough analysis of the market's major players' profiles, market share, and fundamental skills
  • To track and analyze competitive developments in the global Edge computing market, such as product enhancements, product launches, acquisitions, partnerships, and collaborations.

Available Customizations

With the given market data, MarketsandMarkets offers customizations per the company's specific needs. The following customization options are available for the report:

Product Analysis

  • The product matrix provides a detailed comparison of each company's product portfolio.

Geographic Analysis

  • Further breakup of the Asia Pacific market into countries contributing 75% to the regional market size
  • Further breakup of the North American market into countries contributing 75% to the regional market size
  • Further breakup of the Latin American market into countries contributing 75% to the regional market size
  • Further breakup of the Middle Eastern & African market into countries contributing 75% to the regional market size
  • Further breakup of the European market into countries contributing 75% to the regional market size

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)
Custom Market Research Services

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Report Code
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Published ON
Apr, 2024
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