Multi-access Edge Computing (MEC): Market Outlook and Forecasts 2017 - 2022




Published: September 2017   Pages: 183
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Overview:

Multi-access Edge Computing (MEC) is a term coined by ETSI to refer to the global initiative to establish technology and solutions for edge computing that includes both mobile edge computing and non-cellular computing such as WiFi, WiMAX, and other wireless computing as well as wired methods.  

MEC is poised to transform ICT to create a new communications-computation paradigm in which planning, engineering, deployment, and operation of telecommunications and computing will occur simultaneously.  The implications will be to blur the lines between Communications Service Providers (CSP) and data/computing companies (datacenter, data services, and/or cloud services).

MEC brings virtualized apps much closer to end-users, ensuring network flexibility, economy and scalability for improved user experience.  It will also bring many new revenue opportunities to the ecosystem.

MEC will enable many new and enhanced applications and services including improvements in Augmented Reality, Location-based Services, Enterprise-specific Context Aware Services, Real-time Data as a Service (DaaS), and more. There will also be advancements in Vehicle to Vehicle communications as well as Mobile Commerce, Healthcare, Social Networking and other services. MEC will also drive many advances in infrastructure such as mini datacenters, remote cloud servers, and more. It will also facilitate cloud-based service delivery models including real-time data analytics on-demand and various DaaS offerings.

This research evaluates MEC technology, architecture and building blocks, ecosystem, market drivers, applications, solutions, and deployment challenges. The report also analyzes MEC industry initiatives, leading companies, and solutions. The report includes a market assessment and forecast for MEC users and MEC revenue globally, regionally, and within the enterprise market for years 2017 to 2022. Forecasts include MEC infrastructure (equipment, platforms, software, APIs, and services). 

Report Findings:

  • There is no one single “killer app” for MEC but rather many very good ones
  • MEC and 5G hasten the bearer services commoditization end-game for CSPs
  • The sweet spot for MEC server planning is 8 to 10 base stations per aggregation point
  • Simultaneous planning for coms/computing driving need for network integration players
  • MEC may drive a few unexpected M&A events such as CSPs merging with the likes of Dell EMC
  • MEC is poised to make CDNs up to 40% more efficient for CSPs and improve margins by up to 25%

Report Benefits:

  • MEC forecasts 2017 – 2022
  • Understand MEC technology
  • Understand the MEC ecosystem
  • Identify MEC market opportunities
  • Learn how MEC will impact industry verticals
  • Identify significant MEC players and offerings
  • Recognize the potential for MEC in enterprise

Target Audience:

  • Mobile Network Operators
  • API management companies
  • SDN and virtualization vendors
  • Telecom managed service providers
  • Wireless/mobile infrastructure providers
  • Software, Application, and Content Providers
  • RAN, Cloud Computing, and MEC R&D organizations
  • Cloud and Cloudlet infrastructure and service providers

Companies in Report:

  • ADLINK Technology Inc.
  • Advantech
  • Akamai Technologies
  • Allot Communications
  • Advanced Micro Devices
  • Brocade Communications Systems
  • Cavium Networks
  • Ceragon Networks
  • Cisco Systems
  • Fujitsu Technology Solutions
  • Hewlett Packard Enterprise
  • Huawei Technologies Co. Ltd.
  • IBM Corporation
  • Integrated Device Technology
  • Intel Corporation
  • InterDigital Inc.
  • Juniper Networks
  • NEC Corporation
  • Nokia Corporation
  • PeerApp Ltd.
  • Quortus
  • Redhat, Inc.
  • Saguna Networks
  • Samsung Electronics Co., Ltd.
  • Sony Corporation
  • SpiderCloud Wireless
  • Vasona Networks
  • Xilinx, Inc.
  • Yaana Ltd.
  • ZTE Corporation

Table of Contents:

1 Executive Summary
2 Introduction
2.1 Understanding Multi-access Edge Computing
2.1.1 Edge Computing in an ICT Context
2.1.2 Proximity Computing: The Edge in Physical and Logical Context
2.1.3 Edge Computing vs. Other Computational Approaches
2.1.4 Multi-access Edge Computing
2.2 Important Characteristics of MEC
2.2.1 Processing at the Edge
2.2.2 Low Latency
2.2.3 Context Based
2.2.4 Location and Analytics
2.3 MEC Benefits
2.3.1 Business Benefits
2.3.2 Technical Benefits
2.3.3 Mobile Network Operator Benefits
2.3.4 Key Element of Carrier Heterogeneous Network Strategy
3 MEC Technology, Platforms, and Architecture
3.1 MEC Platform Architecture Building Blocks
3.1.1 MEC Infrastructure
3.1.2 MEC Application Platforms
3.1.3 MEC Management Framework
3.2 The Edge Cloud Computing Value Chain
3.3 MEC Technology Building Blocks
3.3.1 Radio Network Information Service
3.3.2 Traffic Offload Function
3.3.3 MEC Interfaces
3.3.4 Configuration Management
3.3.5 Application Lifecycle Management
3.3.6 VM Operations and Management
3.3.7 Hardware Virtualization and Infrastructure Management
3.3.8 Core Network Elements
3.3.9 Open Standards
3.4 MEC Technology Enablers
3.4.1 Mobile Computing to Mobile Cloud Computing
3.4.2 Cloudlet based Mobile Cloud Computing
3.4.3 Cloudlet to Cloud
3.4.4 PacketCloud Open Platform for Cloudlets
3.4.5 Enterprise Cloud Architecture
3.4.6 Cloudlet Solutions
3.4.7 Cloudlet Storage Frameworks
3.5 MEC Deployment Considerations
3.5.1 MEC Implementation Challenges
3.5.2 MEC Operational Challenges
4 MEC Market Drivers and Opportunities
4.1 Limitations of Cloud Convergence
4.2 IT and Telecom Network Convergence
4.3 Base Station Evolution
4.4 Cell Aggregation
4.5 Virtualization in the Cloud
4.6 Continually Improving Server Capacity
4.7 Data Center to Network Interactions
4.8 Open and Flexible App and Service Ecosystem
4.9 Fifth Generation (5G) Wireless
4.10 Edge Cloud and Data Transferability
4.11 Proximate Cloud Computing
4.12 Increasingly Faster Content Delivery
4.13 Advantages of MEC Small Cell Deployment
4.14 Overall Mobile Data Demand
4.15 Low Latency Applications
4.16 Integration of MEC with Cloud RAN
4.17 MEC Enhances Real-time Data and Analytics
4.17.1 Why Data at the Edge?
4.17.2 Convergence of Distributed Cloud and Big Data
5 MEC Ecosystem
5.1 The Overall Edge Computing Ecosystem
5.2 MEC Ecosystem Players
5.2.1 ETSI MEC ISG
5.2.2 Software and ASPs
5.2.3 OTT Service and Content Providers
5.2.4 Network Infrastructure and Equipment Providers
5.2.5 Mobile Network Operators
5.3 Individual Company Analysis
5.3.1 ADLINK Technology Inc.
5.3.2 Advantech
5.3.3 Akamai Technologies
5.3.4 Allot Communications
5.3.5 Advanced Micro Devices
5.3.6 Brocade Communications Systems
5.3.7 Cavium Networks
5.3.8 Ceragon Networks
5.3.9 Cisco Systems
5.3.10 Fujitsu Technology Solutions
5.3.11 Hewlett Packard Enterprise
5.3.12 Huawei Technologies Co. Ltd
5.3.13 IBM Corporation
5.3.14 Integrated Device Technology
5.3.15 Intel Corporation
5.3.16 InterDigital Inc.
5.3.17 Juniper Networks
5.3.18 NEC Corporation
5.3.19 Nokia Corporation
5.3.20 PeerApp Ltd.
5.3.21 Quortus
5.3.22 Redhat, Inc.
5.3.23 Saguna Networks
5.3.24 Samsung Electronics Co., Ltd
5.3.25 Sony Corporation
5.3.26 SpiderCloud Wireless
5.3.27 Vasona Networks
5.3.28 Xilinx, Inc.
5.3.29 Yaana Ltd.
5.3.30 ZTE Corporation
6 MEC Application and Service Strategies
6.1 Optimizing the Mobile Cloud
6.1.1 Mobile Network Operator Strategies
6.1.2 Service Strategies and End-user Demand
6.2 Context Aware Services
6.2.1 Commerce
6.2.2 Education
6.2.3 Gaming
6.2.4 Healthcare
6.2.5 Location-based Services
6.2.6 Public Safety
6.2.7 Connected Vehicles
6.2.8 Wearables
6.1 Data Services and Analytics
6.1.1 Localized Real-time Data Becomes King
6.1.2 Anonymizing Local and Real-time Data for Third-party Usage
6.1.3 Increasing Demand for Data as a Service (DaaS) in MEC Environment
7 MEC Market Forecasts 2017 - 2022
7.1 Global Market 2017 - 2022
7.1.1 Combined MEC Market
7.1.2 MEC Market by Segment
7.1.2.1 MEC Cloud Server Market
7.1.2.2 MEC Equipment Market
7.1.2.3 MEC Platform Market
7.1.2.4 MEC Software and API Market
7.1.2.5 MEC Service Market
7.1.3 MEC Enterprise CAPEX and OPEX Spend
7.1.4 MEC Network Migration
7.1.5 MEC Enterprise Adoption
7.2 MEC Regional Market 2017 – 2022
7.2.1 North America Market Forecast
7.2.2 APAC Market Forecasts
7.2.3 Europe Market Forecast
7.3 MEC Network Users/Devices 2017 – 2022
7.3.1 Global MEC Network Users/Devices
7.3.2 MEC Network User by Supporting Network
7.3.3 Regional MEC Network User
7.3.3.1 North America User
7.3.3.2 APAC User
7.3.3.3 Europe User
8 Conclusions and Recommendations
8.1 Anticipated Market Needs and Opportunities
8.1.1 The need for MEC Integration with Public Cloud Platforms
8.1.2 Enterprise (Dedicated and Shared Resources) MEC Integration
8.1.3 Dedicated MEC Public Safety and Homeland Security Infrastructure
8.2 Insights into Future Market Dynamics
8.2.1 MEC will Facilitate Downward Price Pressure on Non-real-time Data
8.2.2 MEC will Drive Demand for Virtual Network Operators
8.2.3 MEC will Drive the Need for New Players as well as M&A
9 Appendix: Real-time Data Analytics Revenue 2017 – 2022
9.1 Global Streaming Data Analytics Revenue
9.2 Global Real-time Data Analytics Revenue by App, Software, and Services
9.3 Global Real-time Data Analytics Revenue in Industry Verticals
9.3.1 Real-time Data Analytics Revenue in Retail
9.3.1.1 Real-time Data Analytics Revenue by Retail Segment
9.3.1.2 Real-time Data Analytics Retail Revenue by App, Software, and Service
9.3.2 Real-time Data Analytics Revenue in Telecom and IT
9.3.2.1 Real-time Data Analytics Revenue by Telecom and IT Segment
9.3.2.2 Real-time Data Analytics Revenue by Telecom and IT App, Software, and Service
9.3.3 Real-time Data Analytics Revenue in Energy and Utility
9.3.3.1 Real-time Data Analytics Revenue by Energy and Utility Segment
9.3.3.2 Real-time Data Analytics Energy and Utilities Revenue by App, Software, and Service
9.3.4 Real-time Data Analytics Revenue in Government
9.3.4.1 Real-time Data Analytics Revenue by Government Segment
9.3.4.2 Real-time Data Analytics Government Revenue by App, Software, and Service
9.3.5 Real-time Data Analytics Revenue in Healthcare and Life Science
9.3.5.1 Real-time Data Analytics Revenue by Healthcare Segment
9.3.6 Real-time Data Analytics Revenue in Manufacturing
9.3.6.1 Real-time Data Analytics Revenue by Manufacturing Segment
9.3.6.2 Real-time Data Analytics Manufacturing Revenue by App, Software, and Service
9.3.7 Real-time Data Analytics Revenue in Transportation and Logistics
9.3.7.1 Real-time Data Analytics Revenue by Transportation and Logistics Segment
9.3.7.2 Real-time Data Analytics Transportation and Logistics Revenue by App, Software, and Service
9.3.8 Real-time Data Analytics Revenue in Banking and Finance
9.3.8.1 Real-time Data Analytics Revenue by Banking and Finance Segment
9.3.8.2 Real-time Data Analytics Revenue by Banking and Finance App, Software, and Service
9.3.9 Real-time Data Analytics Revenue in Smart Cities
9.3.9.1 Real-time Data Analytics Revenue by Smart City Segment
9.3.9.2 Real-time Data Analytics Revenue by Smart City App, Software, and Service
9.3.10 Real-time Data Analytics Revenue in Automotive
9.3.10.1 Real-time Data Analytics Revenue by Automobile Industry Segment
9.3.10.2 Real-time Data Analytics Revenue by Automotive Industry App, Software, and Service
9.3.11 Real-time Data Analytics Revenue in Education
9.3.11.1 Real-time Data Analytics Revenue by Education Industry Segment
9.3.11.2 Real-time Data Analytics Revenue by Education Industry App, Software, and Service
9.3.12 Real-time Data Analytics Revenue in Outsourcing Services
9.3.12.1 Real-time Data Analytics Revenue by Outsourcing Segment
9.3.12.2 Real-time Data Analytics Revenue by Outsourcing Industry App, Software, and Service
9.4 Real-time Data Analytics Revenue by Leading Vendor Platform
9.4.1 Global Investment in Data by Industry Sector 2017 – 2022

Figures

Figure 1: MEC Value Chain for Edge Cloud Computing
Figure 2: Extreme Outdoor Server
Figure 3: Cloudlet based PacketCloud Framework
Figure 4: MEC and C-RAN Architecture
Figure 5: Mobile Edge Computing Network
Figure 6: MEC Network and Application Clients
Figure 6: ETSI MEC ISG Members
Figure 7: MEC enables Many Cloud-based Apps
Figure 8: Combined MEC Market Size 2017 - 2022
Figure 9: MEC Network Migration Ratio
Figure 10: MEC Enterprise Adoption Ratio
Figure 12: Global MEC Network Users 2017 – 2022
Figure 13: Global Real-time Data Analytics 2017 - 2022
Figure 14: Investment in Data by Industry Vertical 2017 – 2022

Tables

Table 1: MEC Market Size by Market Segment 2017 – 2022
Table 2: MEC Cloud Server Market by Category 2017 – 2022
Table 3: MEC Equipment Market by Category 2017 – 2022
Table 4: MEC Platform Market by Category 2017 – 2022
Table 5: MEC Software and API Market in Vertical Segment 2017 – 2022
Table 6: MEC Service Market by Type 2017 – 2022
Table 7: MEC Optimization CAPEX and OPEX Spend by Enterprise
Table 8: MEC Market by Region 2017 – 2022
Table 9: North America MEC Market by Segment 2017 – 2022
Table 10: North America MEC Cloud Server Market by Category 2017 – 2022
Table 11: North America MEC Equipment Market by Category 2017 – 2022
Table 12: North America MEC Platform Market by Category 2017 – 2022
Table 13: North America MEC Software and API Market in Vertical Segment 2017 – 2022
Table 14: North America MEC Service Market by Type 2017 – 2022
Table 15: North America MEC Market by Country 2017 - 2022
Table 16: APAC MEC Market by Market Segment 2017 – 2022
Table 17: APAC MEC Cloud Server Market by Category 2017 – 2022
Table 18: APAC MEC Equipment Market by Category 2017 – 2022
Table 19: APAC MEC Platform Market by Category 2017 – 2022
Table 20: APAC MEC Software and API Market in Vertical Segment 2017 – 2022
Table 21: APAC MEC Service Market by Type 2017 – 2022
Table 22: APAC MEC Market by Country 2017 - 2022
Table 23: Europe MEC Market by Market Segment 2017 – 2022
Table 24: Europe MEC Cloud Server Market by Category 2017 – 2022
Table 25: Europe MEC Equipment Market by Category 2017 – 2022
Table 26: Europe MEC Platform Market by Category 2017 – 2022
Table 27: Europe MEC Software and API Market in Vertical Segment 2017 – 2022
Table 28: Europe MEC Service Market by Type 2017 – 2022
Table 29: Europe MEC Market by Country 2017 - 2022
Table 30: MEC User by Supporting Network 2017 – 2022
Table 31: MEC Network User by Region 2017 - 2022
Table 32: North America MEC User by Supporting Network 2017 - 2022
Table 33: APAC MEC User by Supporting Network 2017 - 2022
Table 34: Europe MEC User by Supporting Network 2017 - 2022
Table 35: Global Real-time Data Analytics Revenue by App, Software, and Service 2017 - 2022
Table 36: Global Real-time Data Analytics Revenue in Industry Vertical 2017 – 2022
Table 37: Retail Real-time Data Analytics Revenue by Retail Segment 2017 - 2022
Table 38: Retail Real-time Data Analytics Revenue by App, Software, and Services 2017 – 2022
Table 39: Telecom and IT Real-time Data Analytics Rev by Segment 2017 – 2022
Table 40: Telecom and IT Real-time Data Analytics Rev by App, Software, and Services 2017 – 2022
Table 41: Energy and Utilities Real-time Data Analytics Rev by Segment 2017 – 2022
Table 42: Energy and Utilities Real-time Data Analytics Rev by App, Software, and Services 2017 – 2022
Table 43: Government Real-time Data Analytics Revenue by Segment 2017 – 2022
Table 44: Government Real-time Data Analytics Revenue by App, Software, and Services 2017 – 2022
Table 45: Healthcare and Life Science Real-time Data Analytics Revenue by Segment 2017 – 2022
Table 46: Healthcare and Life Science Real-time Data Analytics Revenue by App, Software, and Services 2017 – 2022
Table 47: Manufacturing Real-time Data Analytics Revenue by Segment 2017 – 2022
Table 48: Manufacturing Real-time Data Analytics Revenue by App, Software, and Services 2017 – 2022
Table 49: Transportation and Logistics Real-time Data Analytics Revenue by Segment 2017 – 2022
Table 50: Transportation and Logistics Real-time Data Analytics Revenue by App, Software, and Services 2017 – 2022
Table 51: Banking and Finance Real-time Data Analytics Revenue by Segment 2017 – 2022
Table 52: Banking and Finance Real-time Data Analytics Revenue by App, Software, and Services 2017 – 2022
Table 53: Smart Cities Real-time Data Analytics Revenue by Segment 2017 – 2022
Table 54: Smart Cities Real-time Data Analytics Revenue by App, Software, and Services 2017 – 2022
Table 55: Automotive Real-time Data Analytics Revenue by Segment 2017 – 2022
Table 56: Automotive Real-time Data Analytics Revenue by Apps, Software, and Services 2017 – 2022
Table 57: Education Real-time Data Analytics Revenue by Segment 2017 – 2022
Table 58: Education Real-time Data Analytics Revenue by App, Software, and Services 2017 – 2022
Table 59: Outsourcing Service Real-time Data Analytics Revenue by Segment 2017 – 2022
Table 60: Outsourcing Service Real-time Data Analytics Revenue by App, Software, and Services 2017 – 2022
Table 61: Real-time Data Analytics Revenue by Leading Vendor Platforms 2017 – 2022
Table 62: Investment in Data by Industry Vertical 2017 – 2022

 


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