세계의 멀티 액세스 엣지 컴퓨팅 시장 규모, 점유율, 동향 분석 리포트 : 솔루션별, 최종 용도별, 지역별, 부문 동향(2023-2030년)

Report Overview

The global multi-access edge computing market size was valued at USD 2.52 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 49.1% from 2023 to 2030. The market is expected to gain massive momentum in the coming years, due to the growing demand for the digital transformation of industries, with digitization being the foundation, network-based connectivity being the support, and industrial intelligence. MEC refers to a distributed computing architecture that brings computation and storage capabilities closer to the end-users and devices, such as smartphones, IoT devices, and autonomous vehicles. MEC addresses the increasing demand for low-latency, high-bandwidth, and high-reliability applications, such as augmented reality, virtual reality , gaming, and industrial automation.

Continued adoption of the latest technologies such as the Internet of Things (IoT) and big data across various sectors, including education, healthcare, manufacturing, and the government has generated large volumes of data. As a result, computing is getting more complex, as the volumes of data being handled are increasing. The increasing penetration of cloud services and IoT is expected to impact the industry's growth over the forecast period positively. Additionally, the key driving factors boosting the growth of software and devices include the growing need for real-time interaction with incoming data and the limitations of bandwidth availability.

MEC envisages leveraging local computing power using devices such as routers, smartphones, and PCs. It offers several benefits and helps in processing the data at faster rates with reduced latency, thereby optimizing costs and providing real-time information. MEC is scalable as it can potentially utilize its computing capabilities to meet contextual computing requirements. This capability has thus provided an impetus to the adoption of edge computing solutions among enterprises.

The MEC deployment in numerous application segments is predicted to go hand-in-hand with heavy network traffic applications, which in many cases culminates in 5G. An important point to be considered in understanding the potential growth for MEC is the number of MEC appliances needed for each application and the functionalities expected from the edge infrastructure. For example, the edge infrastructure for automotive applications (V2X) will need higher computing power as compared to the MEC appliance in retail applications. However, the sheer number of MEC appliances in retail would outnumber those in V2X. The cost, criticality of information, and speed are some of the key parameters that will define the adoption of MEC in the coming years.

The emergence of different technologies and applications is expected to change traditional systems to improve efficiency and latency. For instance, the constant technological upgrades in electric vehicles are expected to overtake traditional combustion engine vehicles and conventional vehicles. Key players, including Tesla, Volkswagen, BMW, Engie, Siemens, and ABB, among others, are actively participating in the development of the global Electric Vehicle (EV) market, recognizing the necessity to serve future EV customers as well as the enormous growth potential.

These businesses provide solutions that emphasize accessibility, efficiency, and enhanced end-user experiences. MEC helps to intelligently limit the amount of data that is sent out, lowering data transmission costs and reducing the quantity of sensitive data that leaves the vehicle. MEC will play a critical role in providing real-time, precise energy load control, which is critical for grid stability, especially in emergency scenarios.

Table of Contents

Chapter 1 Methodology and Scope

• 1.1 Market Segmentation & Scope
• 1.2 Market Definitions
• 1.3 Information Procurement
  • 1.3.1 Purchased Database
  • 1.3.2 Gvr's Internal Database
  • 1.3.3 Secondary Sources & Third-Party Perspective
  • 1.3.4 Primary Research
• 1.4 Information Analysis
  • 1.4.1 Data Analysis Models
• 1.5 Market Formulation and Data Visualization
• 1.6 Data Validation and Publishing

Chapter 2 Executive Summary

• 2.1 Edge Analytics Market Snapshot
• 2.2 Edge Analytics - Segment Snapshot (1/2)
• 2.3 Edge Analytics - Segment Snapshot (2/2)
• 2.4 Edge Analytics - Competitive Landscape Snapshot

Chapter 3 Market Variables, Trends & Scope

• 3.1 Market Lineage Outlook
• 3.2 Value Chain Analysis
• 3.3 Market Dynamics
  • 3.3.1 Market Driver Analysis
  • 3.3.2 Market Restraint Analysis
  • 3.3.3 Market Opportunity Analysis
  • 3.3.4 Market Challenges Analysis
• 3.4 Industry Analysis Tools
  • 3.4.1 PORTER'S Analysis
  • 3.4.2 PEST Analysis
• 3.5 Key Market Share Analysis, 2022
• 3.6 Mec Architectural Blueprint
• 3.7 Mec Use Cases
  • 3.7.1 Connected Vehicles
  • 3.7.2 Retail
  • 3.7.3 Smart Cities
  • 3.7.4 Video Optimization
  • 3.7.5 Manufacturing
  • 3.7.6 Augmented Reality (Ar)/ Virtual Reality (Vr)
• 3.8 5G and MEC
• 3.9 Technical Challenges and Requirements
• 3.10 COVID-19 Impact on MEC
  • 3.10.1 Post-Pandemic Demand For Edge Technology

Chapter 4 Solution Estimates & Trend Analysis

• 4.1 Mec Market: Solution Movement Analysis
  • 4.1.1 Hardware
  • 4.1.2 Software
  • 4.1.3 Services

Chapter 5 End-Use Estimates & Trend Analysis

• 5.1 Mec Market: End-Use Movement Analysis
  • 5.1.1 It & Telecom
  • 5.1.2 Smart Homes, Smart Cities, And Smart Buildings
  • 5.1.3 Datacenters
  • 5.1.4 Energy & Utilities
  • 5.1.5 Automotive
  • 5.1.6 Others

Chapter 6 Regional Estimates & Trend Analysis

• 6.1 Multi-Access Edge Computing Market: Regional Outlook
• 6.2 North America
  • 6.2.1 North America Multi-Access Edge Computing Market Estimates & Forecasts, 2018 - 2030 (USD Million)
  • 6.2.2 U.S.
    • 6.2.2.1 U.S. Multi-Access Edge Computing Market Estimates & Forecasts, 2018 - 2030 (USD Million)
  • 6.2.3 Canada
    • 6.2.3.1 Canada Multi-Access Edge Computing Market Estimates & Forecasts, 2018 - 2030 (USD Million)
• 6.3 Europe
  • 6.3.1 Europe Multi-Access Edge Computing Market Estimates & Forecasts, 2018 - 2030 (USD Million)
  • 6.3.2 Germany
    • 6.3.2.1 Germany Multi-Access Edge Computing Market Estimates & Forecasts, 2018 - 2030 (USD Million)
  • 6.3.3 Uk
    • 6.3.3.1 Uk Multi-Access Edge Computing Market Estimates & Forecasts, 2018 - 2030 (USD Million)
• 6.4 Asia Pacific
  • 6.4.1 Asia Pacific Multi-Access Edge Computing Market Estimates & Forecasts, 2018 - 2030 (USD Million)
  • 6.4.2 China
    • 6.4.2.1 China Multi-Access Edge Computing Market Estimates & Forecasts, 2018 - 2030 (USD Million)
  • 6.4.3 India
    • 6.4.3.1 India Multi-Access Edge Computing Market Estimates & Forecasts, 2018 - 2030 (USD Million)
  • 6.4.4 Japan
    • 6.4.4.1 Japan Multi-Access Edge Computing Market Estimates & Forecasts, 2018 - 2030 (USD Million)
• 6.5 Latin America
  • 6.5.1 Latin America Multi-Access Edge Computing Market Estimates & Forecasts, 2018 - 2030 (USD Million)
  • 6.5.2 Brazil
    • 6.5.2.1 Brazil Multi-Access Edge Computing Market Estimates & Forecasts, 2018 - 2030 (USD Million)
  • 6.5.3 Mexico
    • 6.5.3.1 Mexico Multi-Access Edge Computing Market Estimates & Forecasts, 2018 - 2030 (USD Million)
• 6.6 Middle East And Africa
  • 6.6.1 Middle East And Africa Multi-Access Edge Computing Market Estimates & Forecasts, 2018 - 2030 (USD Million)

Chapter 7 Edge Analytics Market - Competitive Landscape

• 7.1 Key participants
  • 7.1.1 ADLINK Technology Inc.
  • 7.1.2 Advantech Co., Ltd.
  • 7.1.3 FogHorn Systems Inc.
  • 7.1.4 Hewlett Packard Enterprise Development LP
  • 7.1.5 Huawei Technologies Co., Ltd,
  • 7.1.6 Juniper Networks, Inc.
  • 7.1.7 Saguna Networks Ltd.
  • 7.1.8 SMART Embedded Computing
  • 7.1.9 Vapor IO
  • 7.1.10 ZephyrTel
• 7.2 Recent Developments & Impact Analysis, By Key Market Participants
• 7.3 Company Categorization
• 7.4 Participant's Overview
• 7.5 Financial Performance
• 7.6 Product Benchmarking
• 7.7 Company Market Share Analysis, 2022
• 7.8 Company Heat Map Analysis
• 7.9 Strategy Mapping
  • 7.9.1 Expansion
  • 7.9.2 Mergers & Acquisition
  • 7.9.3 Collaborations
  • 7.9.4 New Product Launches