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市場調查報告書

多重接取邊緣運算(MEC)資料中心全球市場:2019年∼2024年預測

Multi Access Edge Computing Datacenter Market by Infrastructure, Equipment Category, Deployment Models, Computing as a Service Offerings, Network Connectivity, Applications, Analytics Types, Market Segment, Industry Verticals, and Region 2019 - 2024

出版商 Mind Commerce 商品編碼 648190
出版日期 內容資訊 英文 203 Pages
商品交期: 最快1-2個工作天內
價格
多重接取邊緣運算(MEC)資料中心全球市場:2019年∼2024年預測 Multi Access Edge Computing Datacenter Market by Infrastructure, Equipment Category, Deployment Models, Computing as a Service Offerings, Network Connectivity, Applications, Analytics Types, Market Segment, Industry Verticals, and Region 2019 - 2024
出版日期: 2019年04月17日內容資訊: 英文 203 Pages
簡介

本報告調查了多重接取邊緣運算(MEC)資料中心技術、電腦系統結構與結構要素、生態系統、市場成長促進因素、應用程式、解決方案及引進課題,並提供MEC企業倡議、主要企業與解決方案分析、市場評價、MEC用戶與獲利(全球、地區)預測等系統化資訊。

第1章 執行摘要

第2章 簡介

第3章 MEC技術□平台□電腦系統結構

  • MEC平台電腦系統結構形成要素
  • 邊緣雲端運算價值鏈
  • MEC技術結構要素
  • MEC技術提供者
  • MEC推展考慮事項

第4章 MEC市場成長促進要素、機會

  • 雲端Convergence極限
  • IT通訊網路Convergence
  • 基地局發展
  • cell aggregation
  • 雲端虛擬化
  • 持續提升的伺服器功能
  • 為網路互動設立的資料中心
  • 公開&彈性的應用程式及服務生態系統
  • 第5代 (5G) 無線
  • 邊緣雲端以及資料傳送性
  • 鄰近雲端運算
  • 內容傳遞越來越快速
  • 引進MEC模組的好處
  • 整體行動上網資料需求
  • 低延遲性應用程式
  • MEC與雲端RAN整合
  • MEC強化即時資料分析

第5章 MEC生態系統

  • 全體邊緣運算生態系統
  • MEC生態系統企業
  • 各企業分析

第6章 MEC應用程式□服務策略

  • 雲端行動上網最佳化
  • 環境感知服務
  • 資料服務分析

第7章 MEC引進趨勢

第8章 MEC市場分析預測

  • 零件別
  • MEC用戶預測:支援網路別
  • 終端技術別
  • 應用程式別
  • 終端用戶別
  • 產業別
  • 地區別

第9章 結論和建議

第10章 附錄1:即時資料分析獲利

第11章 附錄2:5G技術及解決方案預測

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目錄

Overview:

This Multi Access Edge Computing Datacenter market report evaluates the telecom and IT ecosystem in support of MEC including communications and computing infrastructure providers, managed services vendors, carriers and OTT providers. This edge computing market analysis includes a focus on company strategies and offerings relative to current and anticipated future market needs. The report also provides quantitative analysis of the Mobile Edge Computing market including segmentation by industry vertical, region of the world, application and services. It also provides forecasts for MEC based streaming data and real-time data analytics.

Often used synonymously, MEC refers to Mobile Edge Computing or Multi Access Edge Computing with the former being more cellular network centric (LTE and 5G) and the latter terminology adopted by standards groups to generalize edge computing to reflect that it may be also be used by WiFi and other wireless access technologies. The distinction between Multi Access Edge Computing vs. Mobile Edge Computing for MEC largely ends with radio access and network type as almost every other aspect is the same including localizing computing (e.g. computation and storage closer to the end-user), network element virtualization, software and service-centric operations.

In cellular networks, edge computing via MEC is beneficial for LTE, but virtually essential for 5G. This is because Mobile Edge Computing facilitates optimization of fifth generation network resources including focusing communications and computational capacity where it is needed the most. Mind Commerce research findings indicate a strong relationship between edge computing and 5G. In fact, if it were not for MEC, 5G would continue to rely upon back-haul to centralized cloud resource for storage and computing, diminishing much of the otherwise positive impact of latency reduction enabled by 5G.

Another driver for the multi access edge computing market is that MEC will facilitate an entirely new class of low-power devices for IoT networks and systems. These devices will rely upon MEC equipment for processing. Stated differently, some IoT devices will be very light-weight computationally speaking, relying upon edge computing nodes for most of their computation needs.

Multi Access Edge Computing Datacenter Market Drivers

The fundamental question often asked by those not close to telecom networks and application optimization is: What is driving the need for edge computing in datacenters? There are many reasons. However, the core areas for improvement with mobile edge computing are: throughput, congestion, latency, and backhaul. Additional important considerations that spawn from these improvements are network awareness/context and data analytics.

  • Improved Overall Throughput: By way of example, testing between Saguna Networks and Vodafone indicated substantially lower wait times and stalls while viewing video.
  • Core Congestion Reduction: Related to improved throughput is reduction of core congestion. MEC enables users and devices to store/access much higher volumes of data by way of direct access to the Internet rather than relying upon transport through the core of cellular networks.
  • Application Latency Reduction: Mobile edge computing will be particularly important in support of Ultra-Reliable and Low-Latency Communication (URLLC) for latency-sensitive apps and services for various consumer, enterprise, and industrial use cases. The combination of 5G and MEC is expected to reduce network latency significantly, which will enable many previously tethered-only applications and services such as streaming 4K video, real-time remote control, haptic or tactile communications, and more.
  • Backhaul Reduction: Related to core congestion reduction, backhaul is reduced as processing may be done at the edge rather than back-hauled to more centralized core cloud computing resources. This will be particularly important for 5G, which would continue to rely upon back-haul to centralized cloud resource for storage and computing, diminishing much of the otherwise positive impact of latency reduction enabled by 5G new radio technology.
  • Network Awareness and Context: Placing Virtual Network Functions closer to the point of usage allows carriers to better determine context, leading to operational improvements and better use of localized data.
  • Streaming Data and Real-time Analytics: Edge computing facilitates vast amounts of fast-moving data from sensors and devices. For many use cases, data flows constantly from the device or sensor to the network and sometimes back to the device. In some cases, these streams of data are simply stored (for potential later use) and in other cases there is a need for real-time data processing and analytics.
  • Network and Application Resiliency: Edge computing networks are distributed and thus more resilient because there are many mini-datacenters rather than one or a few larger ones.

Despite all of the aforementioned advantages to deploying distributed computing and mini-datacenters, there is at least one important concern - cybersecurity. With mobile edge computing, security becomes a problem as there is now another point of attack with edge hardware and software. However, the aforementioned advantages provide ample rationale to move forward for carriers and datacenter providers alike.

Weighing the advantages vs. the challenges, the multi access edge computing market will clearly be an enabler of 5G apps and services including improved mobile broadband (ultra-fast and high definition video, enhanced web browsing, etc.), Ultra Reliable Low Latency Communications (URLLC) dependent apps (virtual reality, UAV operation, autonomous vehicles, robotics, etc.), and massive expansion of the Internet of Things (IoT).

In terms of IoT, one of the key drivers for the multi access edge computing market is that MEC will facilitate an entirely new class of low-power devices for IoT networks and systems. These devices will rely upon MEC equipment for processing. Stated differently, some IoT devices will be very light-weight computationally speaking, relying upon edge computing nodes for most of their computation needs.

Multi Access Edge Computing Datacenter Market Deployment Alternatives

As Mind Commerce has stated in the past, the primary standards body for MEC standardization is the European Telecommunications Standards Institute (ETSI), which has done much to move edge computing in mobile/wireless networks forward. For example, their “MEC in 5G Networks”, First Edition document published in June 2018 identifies mobile edge computing deployment scenarios among other topics. ETSI identifies four physical areas for MEC deployment as follows:

  • 1. Co-location at Base Station
  • 2. Co-location at Transmission Node
  • 3. Co-location at Network Aggregation Point
  • 4. Co-location with Core Network Functions

This ETSI document was authored by representatives from leading ICT companies including Huawei, HPE, Telefonica, ZTE, Viavi Solutions, Saguna, ETRI, Nokia, Vodafone, Quortus, Interdigital, Intel, TIM, and ITRI. Additional MEC deployment related items covered include mobile edge computing architecture relative to 5G networks and systems as well as MEC use case scenarios.

An additional industry group that also has an impact on edge computing is the Central Office Re-architected as a Data Center (CORD) supported by AT&T, China Unicom, NTT Communications, SK Telecom, and Verizon. CORD has identified a few potential points of deployment for mobile edge computing platforms including enterprise sites, hub sites, cloud RAN sites, pre-aggregation sites, IP aggregation sites, and co-located with core network equipment. Among other documents, CORD has issued M-CORD as an Open Reference Solution for 5G Enablement, which they position as an open source reference solution for mobile edge computing deployment alternatives that is built on the pillars of SDN, NFV and cloud technologies. The organization also provides guidance regarding mobile edge computing operations, installation, development, and testing.

Another organization involved in MEC architecture and datacenter evolution is the O-RAN Alliance, which is developing an architecture designed to enable next generation Radio Access Network (RAN) infrastructures. Founded in 2018 by AT&T, China Mobile, Deutsche Telekom, NTT DoCoMo and Orange, the O-RAN Alliance defines a cloud native RAN that leverages MEC. The organization sees the potential to embed intelligence in every layer of the RAN architecture. Part of this intelligence could be within the edge computing equipment, supported with AI-optimized closed-loop automation software control.

Depending on the vendor, there are many different views. For example, Vapor IO, who recently purchased the edge co-location business from one of its investors, Crown Castle, sees the most distributed approach with MEC at every base station. To get there, the company sees interim steps such as building a nationwide network of edge datacenters throughout major metropolitan areas in the United States. The company will interconnect edge computing sites within a city to form a larger, virtual datacenter the company refers to as Vapor Kinetic Edge that covers an entire metro area.

While this logical extreme may ultimately come to fruition, other companies, such as Saguna Networks, see a large role for enterprise-deployed MEC, particularly in conjunction with private LTE and 5G deployments. Other vendors such as Deutsche Telekom backed MobiledgeX also see a strong mobile edge computing market for enterprise and industrial applications such as smart buildings and smart factories respectively.

In this business owned/controlled edge computing market model, the carriers will minimally provide network as a service (via connectivity and communications services) and potentially a certain degree of computing as a service. However, it is likely that many enterprise and industrial customers may manage their own apps and/or allow access by third parties via edge computing APIs for provisioning, administration, and overall management.

Carrier Multi Access Edge Computing Market Deployment Considerations

It is important to understand that multi access edge computing servers and platforms can be deployed in many locations including, but not limited to, an LTE and/or 5G macro base station site, the 3G Radio Network Controller site, a multi-RAT cell aggregation site, or at an aggregation point. Communication Service Providers (CSP) are not accustomed to planning for remote servers. However, MEC essentially needs many remote datacenters. Mind Commerce predicts that CSPs will need to partner with network integration companies to realize the full vision of MEC. CSPs cannot be bogged down in negotiations, planning, engineering, and deployment of MEC communications/computing platforms every time a new site is acquired.

With the multi access edge computing market, there is clearly a new computational-communications paradigm in which communications and computing are no longer thought of as separate things. Furthermore, they are planned, engineered, deployed, and operated together. In parallel with this new paradigm, mobile networks are becoming video networks. This is essentially the case because the vast majority of bandwidth demand is driven by video usage of some type. This is anticipated to accelerate with MEC as there will be many more uses for video, such as public safety (e.g. face recognition to identify potential threats). With this new paradigm there will be a need for more efficient management of real-time data and analytics as vast amounts of data is collected, much of which will require real-time processing.

Implementation and operation of multi access edge computing has profound implications. For example, there will not be a need to always route completely through the entire switching fabric for Internet transport. In other words, certain content and applications can be consumed locally rather than relying upon back-hauling and/or hair-pinning through a home gateway to the (centralized/core) cloud. This environment is characterized by ultra-low latency and high bandwidth as well as real-time access to radio network information that can be leveraged by applications and QoE platforms located “deep into the network”. Better performance through partial off-load from device to edge or centralized cloud to edge. One good example app that will benefit from this is cloud gaming.

Select Report Findings:

  • Virtualized servers in support of the multi access edge computing market will become nearly a $100M market by 2024
  • Breaking down the market by category of use, edge accelerated Web browsing will represent a $54.4M market by 2024
  • Driven by enterprise hosted deployment, the mobile edge computing as a service market will reach nearly $73M by 2024
  • Driven by private LTE and 5G networks for the industrial segment, the largest industrial vertical for MEC will by manufacturing
  • Driven by smart factories, the multi access edge computing market in support of manufacturing in Asia will reach $194.4M by 2024

Target Audience:

  • Mobile service providers
  • SDN and virtualization vendors
  • Wireless infrastructure providers
  • Telecom managed service providers
  • Software, App, and Content Providers
  • Cloud infrastructure and service providers

Companies in Report:

  • ADLINK Technology Inc.
  • Advanced Micro Devices
  • Advantech
  • Affirmed Networks
  • Akamai Technologies
  • Allot Communications
  • Brocade Communications Systems
  • Cavium Networks
  • Ceragon Networks
  • Cisco Systems
  • Cloudify
  • Cradlepoint
  • EdgeConneX
  • Edgeworx
  • Ericsson
  • Fujitsu Technology Solutions
  • Hewlett Packard Enterprise
  • Huawei Technologies Co. Ltd.
  • IBM Corporation
  • Integrated Device Technology
  • Intel Corporation
  • InterDigital Inc.
  • Juniper Networks
  • MobiledgeX
  • NEC Corporation
  • Nokia Corporation
  • PeerApp Ltd.
  • Pixeom
  • Pluribus Networks
  • Quortus
  • Redhat, Inc.
  • Saguna Networks
  • Samsung Electronics Co., Ltd.
  • Sony Corporation
  • SpiderCloud Wireless
  • Vapor IO
  • Vasona Networks (ZephyrTel)
  • Xilinx, Inc.
  • Yaana Ltd.
  • ZTE Corporation

Table of Contents

1.0. Executive Summary

  • 1.1. Global Market for Multi Access Edge Computing
  • 1.2. Regional Multi Access Edge Computing Market 2019 - 2024

2.0. 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. Multi Access Edge Computing 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

3.0. 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

4.0. 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

5.0. 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. Affirmed Networks
    • 5.3.4. Akamai Technologies
    • 5.3.5. Allot Communications
    • 5.3.6. Advanced Micro Devices
    • 5.3.7. Brocade Communications Systems
    • 5.3.8. Cavium Networks
    • 5.3.9. Ceragon Networks
    • 5.3.10. Cisco Systems
    • 5.3.11. Cloudify
    • 5.3.12. Cradlepoint
    • 5.3.13. EdgeConneX
    • 5.3.14. Edgeworx
    • 5.3.15. Ericsson
    • 5.3.16. Fujitsu Technology Solutions
    • 5.3.17. Hewlett Packard Enterprise
    • 5.3.18. Huawei Technologies Co. Ltd.
    • 5.3.19. IBM Corporation
    • 5.3.20. Integrated Device Technology
    • 5.3.21. Intel Corporation
    • 5.3.22. InterDigital Inc.
    • 5.3.23. Juniper Networks
    • 5.3.24. MobiledgeX
    • 5.3.25. NEC Corporation
    • 5.3.26. Nokia Corporation
    • 5.3.27. PeerApp Ltd.
    • 5.3.28. Pixeom
    • 5.3.29. Pluribus Networks
    • 5.3.30. Quortus
    • 5.3.31. Redhat, Inc.
    • 5.3.32. Saguna Networks
    • 5.3.33. Samsung Electronics Co., Ltd.
    • 5.3.34. Sony Corporation
    • 5.3.35. SpiderCloud Wireless
    • 5.3.36. Vapor IO
    • 5.3.37. Vasona Networks
    • 5.3.38. Xilinx, Inc.
    • 5.3.39. Yaana Ltd.
    • 5.3.40. ZTE Corporation

6.0. 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
  • 6.3. Data Services and Analytics
    • 6.3.1. Localized Real-time Data Becomes King
    • 6.3.2. Anonymizing Local and Real-time Data for Third-party Usage
    • 6.3.3. Increasing Demand for Data as a Service (DaaS) in MEC Environment

7.0. Multi Access Edge Computing Deployment

8.0. Multi Access Edge Computing Market Analysis and Forecasts

  • 8.1. Mobile Edge Computing Markets by Components
    • 8.1.1. Mobile Edge Computing Cloud Server Market by Category
    • 8.1.2. Mobile Edge Computing Equipment Market by Category ($ Millions)
    • 8.1.3. Mobile Edge Computing Platform Market by Category ($ Millions)
    • 8.1.4. Mobile Edge Computing Software and API Market in Vertical Segment
    • 8.1.5. Mobile Edge Computing as a Service Market by Solution Type
  • 8.2. Mobile Edge Computing Users by Supporting Network
  • 8.3. Mobile Edge Computing Markets by Technology
    • 8.3.1. Mobile Edge Computing Markets by Analytics Type
  • 8.4. Mobile Edge Computing Markets by Applications
  • 8.5. Mobile Edge Computing Markets by End-Users
  • 8.6. Mobile Edge Computing Markets by Industry Vertical
  • 8.7. Regional Mobile Edge Computing Markets
    • 8.7.1. North America Mobile Edge Computing Market
      • 8.7.1.1. Mobile Edge Computing Market Size by Segment
      • 8.7.1.2. Mobile Edge Computing Cloud Server Market by Category
      • 8.7.1.3. Mobile Edge Computing Equipment Market by Category
      • 8.7.1.4. Mobile Edge Computing Platform Market by Category
      • 8.7.1.5. North America MEC Software and API Market by Solution
      • 8.7.1.6. Mobile Edge Computing as a Service Market by Type
      • 8.7.1.1. Mobile Edge Computing Markets by Industry Vertical
    • 8.7.2. Europe Mobile Edge Computing Market
      • 8.7.2.1. Mobile Edge Computing Market Size by Segment
      • 8.7.2.2. Mobile Edge Computing Cloud Server Market by Category
      • 8.7.2.3. Mobile Edge Computing Equipment Market by Category
      • 8.7.2.4. Mobile Edge Computing Platform Market by Category
      • 8.7.2.5. Mobile Edge Computing Software & API Market in Vertical Segment
      • 8.7.2.6. Mobile Edge Computing as a Service Market by Type
      • 8.7.2.1. Mobile Edge Computing Markets by Industry
    • 8.7.3. APAC Mobile Edge Computing Market
      • 8.7.3.1. Mobile Edge Computing Market Size by Segment
      • 8.7.3.2. Mobile Edge Computing Cloud Server Market by Category
      • 8.7.3.3. Mobile Edge Computing Equipment Market by Category
      • 8.7.3.4. Mobile Edge Computing Platform Market by Category
      • 8.7.3.5. Mobile Edge Computing Software & API Market in Vertical Segment
      • 8.7.3.6. Mobile Edge Computing as a Service Market by Type
      • 8.7.3.1. Mobile Edge Computing Markets by Industry

9.0. Conclusions and Recommendations

  • 9.1. Anticipated Market Needs and Opportunities
    • 9.1.1. The need for MEC Integration with Public Cloud Platforms
    • 9.1.2. Enterprise (Dedicated and Shared Resources) MEC Integration
    • 9.1.3. Dedicated MEC Public Safety and Homeland Security Infrastructure
  • 9.2. Insights into Future Market Dynamics
    • 9.2.1. MEC will Facilitate Downward Price Pressure on Non-real-time Data
    • 9.2.2. MEC will Drive Demand for Virtual Network Operators
    • 9.2.3. MEC will Drive the Need for New Players as well as M&A
    • 9.2.4. MEC Deployment will be Very Different across Market Segments
    • 9.2.5. Anticipated MEC Business Models
  • 10.0. Appendix One: Real-time Data Analytics Revenue
  • 10.1. Global Streaming Data Analytics Revenue
  • 10.2. Global Real-time Data Analytics Revenue by App, Software, and Services
  • 10.3. Global Real-time Data Analytics Revenue in Industry Verticals
    • 10.3.1. Real-time Data Analytics Revenue in Retail
      • 10.3.1.1. Real-time Data Analytics Revenue by Retail Segment
      • 10.3.1.2. Real-time Data Analytics Retail Revenue by App, Software, and Service
    • 10.3.2. Real-time Data Analytics Revenue in Telecom and IT
      • 10.3.2.1. Real-time Data Analytics Revenue by Telecom and IT Segment
      • 10.3.2.2. Real-time Data Analytics Revenue by Telecom & IT App, Software, and Service
    • 10.3.3. Real-time Data Analytics Revenue in Energy and Utility
      • 10.3.3.1. Real-time Data Analytics Revenue by Energy and Utility Segment
      • 10.3.3.2. Real-time Data Analytics Energy and Utilities Revenue by App, Software, and Service
    • 10.3.4. Real-time Data Analytics Revenue in Government
      • 10.3.4.1. Real-time Data Analytics Revenue by Government Segment
      • 10.3.4.2. Real-time Data Analytics Government Revenue by App, Software, and Service
    • 10.3.5. Real-time Data Analytics Revenue in Healthcare and Life Science
      • 10.3.5.1. Real-time Data Analytics Revenue by Healthcare Segment
    • 10.3.6. Real-time Data Analytics Revenue in Manufacturing
      • 10.3.6.1. Real-time Data Analytics Revenue by Manufacturing Segment
      • 10.3.6.2. Real-time Data Analytics Manufacturing Revenue by App, Software, and Service
    • 10.3.7. Real-time Data Analytics Revenue in Transportation and Logistics
      • 10.3.7.1. Real-time Data Analytics Revenue by Transportation & Logistics Segment
      • 10.3.7.2. Real-time Data Analytics Transportation & Logistics Revenue by App, Software, and Service
    • 10.3.8. Real-time Data Analytics Revenue in Banking and Finance
      • 10.3.8.1. Real-time Data Analytics Revenue by Banking and Finance Segment
      • 10.3.8.2. Real-time Data Analytics Revenue by Banking & Finance App, Software, and Service
    • 10.3.9. Real-time Data Analytics Revenue in Smart Cities
      • 10.3.9.1. Real-time Data Analytics Revenue by Smart City Segment
      • 10.3.9.2. Real-time Data Analytics Revenue by Smart City App, Software, and Service
    • 10.3.10 Real-time Data Analytics Revenue in Automotive
      • 10.3.10.1. Real-time Data Analytics Revenue by Automobile Industry Segment
      • 10.3.10.2. Real-time Data Analytics Revenue by Automotive Industry App, Software, and Service
    • 10.3.11. Real-time Data Analytics Revenue in Education
      • 10.3.11.1. Real-time Data Analytics Revenue by Education Industry Segment
      • 10.3.11.2. Real-time Data Analytics Revenue by Education Industry App, Software, and Service
    • 10.3.12. Real-time Data Analytics Revenue in Outsourcing Services
      • 10.3.12.1. Real-time Data Analytics Revenue by Outsourcing Segment
      • 10.3.12.2. Real-time Data Analytics Revenue by Outsourcing Industry App, Software, and Service
  • 10.4. Real-time Data Analytics Revenue by Leading Vendor Platform
    • 10.4.1. Global Investment in Data by Industry Sector

11.0. Appendix Two: 5G Technology and Solution Outlook

  • 11.1. Market Definition of 5G
  • 11.2. Evolution of Mobile Communication Standards (1G to 5G)
  • 11.3. Introduction to 5G Technology
  • 11.4. 5G Spectrum Options and Utilization
  • 11.5. What can 5G Technology Offer?
    • 11.5.1. 5G Network will Facilitate Faster and Less Expensive Services
  • 11.6. Key Advantages and Growth Drivers of 5G
  • 11.7. Challenges for 5G
    • 11.7.1. Consistent Growth in Technology Requirements and Service Characteristics
    • 11.7.2. Standardization Challenges
    • 11.7.3. Network Challenges
    • 11.7.4. Mobile Device Challenges
    • 11.7.5. Application Challenges
  • 11.8. 5G Roadmap
    • 11.8.1. 5G Requirements
    • 11.8.2. 5G Wireless Subsystem
    • 11.8.3. Network Virtualization & Software Networks
    • 11.8.4. Converged Connectivity
  • 11.9. 5G Use Cases
    • 11.9.1. 5G in M2M and IoT
    • 11.9.2. 5G in Robotics
    • 11.9.3. 5G in Augmented and Virtual Reality
    • 11.9.4. 5G in Home Internet
    • 11.9.5. 5G in Wireless Office
    • 11.9.6. Other Use Cases
      • 11.9.6.1. High Speed Train
      • 11.9.6.2. Remote Computing
      • 11.9.6.3. Non-Stationary Hot Spots
      • 11.9.6.4. 3D Connectivity: Aircraft
      • 11.9.6.5. Natural Disaster
      • 11.9.6.6. Public Safety
      • 11.9.6.7. Context Aware Service
  • 11.10. Business Opportunities

Figures

  • Figure 1: Global Mobile Edge Computing Market 2019 - 2024
  • Figure 2: Regional Market for Mobile Edge Computing 2019 - 2024
  • Figure 3: Mobile Edge Computing Users by Region 2019 - 2024
  • Figure 4: MEC Operational Benefits Analysis
  • Figure 5: MEC Value Chain for Edge Cloud Computing
  • Figure 6: Extreme Outdoor Server
  • Figure 7: Cloudlet based PacketCloud Framework
  • Figure 8: Three Categories of 5G Apps and Services
  • Figure 9: MEC and C-RAN Architecture
  • Figure 10: Mobile Edge Computing Network
  • Figure 11: MEC Network and Application Clients
  • Figure 12: ETSI MEC ISG Members
  • Figure 13: MEC enabled Applications and Services
  • Figure 14: MEC enables Many Cloud-based Apps
  • Figure 15: Edge Computing Deployment Options
  • Figure 16: Mobile Edge Computing Market by Components 2019 - 2024
  • Figure 17: Mobile Edge Computing Market by Category 2019 - 2024
  • Figure 18: Mobile Edge Computing Equipment Market by Category 2019 - 2024
  • Figure 19: Mobile Edge Computing Platform Market by Category 2019 - 2024
  • Figure 20: MEC Software and API Market by Solution 2019 - 2024
  • Figure 21: MEC as a Service Market by Solution Type 2019 - 2024
  • Figure 22: Mobile Edge Computing Users by Supporting Network 2019 - 2024
  • Figure 23: Mobile Edge Computing Market by Technology 2019 - 2024
  • Figure 24: Mobile Edge Computing Market by Analytics Type 2019 - 2024
  • Figure 25: Mobile Edge Computing Market by Applications 2019 - 2024
  • Figure 26: Mobile Edge Computing Market by Industry Segment 2019 - 2024
  • Figure 27: Mobile Edge Computing Markets by Industry Vertical 2019 - 2024
  • Figure 28: North America Mobile Edge Computing Market Size by Component 2019 - 2024
  • Figure 29: North America Mobile Edge Computing Server Market by Category 2019 - 2024
  • Figure 30: North America Mobile Edge Computing Equipment Market by Category 2019 - 2024
  • Figure 31: North America Mobile Edge Computing Platform Market by Category 2019 - 2024
  • Figure 32: North America Mobile Edge Computing Software and API Market by Solution 2019 - 2024
  • Figure 33: North America Mobile Edge Computing as a Service Market by Type 2019 - 2024
  • Figure 34: North America Mobile Edge Computing Markets by Industry Vertical 2019 - 2024
  • Figure 35: Europe Mobile Edge Computing Market Size by Component 2019 - 2024
  • Figure 36: Europe Mobile Edge Computing Server Market by Category 2019 - 2024
  • Figure 37: Europe Mobile Edge Computing Equipment Market by Category 2019 - 2024
  • Figure 38: Europe Mobile Edge Computing Platform Market by Category 2019 - 2024
  • Figure 39: Europe Mobile Edge Computing Software and API Market by Solution 2019 - 2024
  • Figure 40: Europe Mobile Edge Computing as a Service Market by Type 2019 - 2024
  • Figure 41: Europe Mobile Edge Computing Markets by Industry Vertical 2019 - 2024
  • Figure 42: APAC Mobile Edge Computing Market Size by Component 2019 - 2024
  • Figure 43: APAC Mobile Edge Computing Server Market by Category 2019 - 2024
  • Figure 44: APAC Mobile Edge Computing Equipment Market by Category 2019 - 2024
  • Figure 45: APAC Mobile Edge Computing Platform Market by Category 2019 - 2024
  • Figure 46: APAC Mobile Edge Computing Software & API Market by Solution 2019 - 2024
  • Figure 47: APAC Mobile Edge Computing as a Service Market by Type 2019 - 2024
  • Figure 48: APAC Mobile Edge Computing Market by Industry Vertical 2019 - 2024
  • Figure 49: MEC Deployment by Carrier, Enterprise, and Industrial Sites
  • Figure 50: Global Real-time Data Analytics
  • Figure 51: Evolution of Mobile Communication Standards (1G to 5G)
  • Figure 52: Evolution from LTE Advanced to 5G
  • Figure 53: Sample Specifications for 5G
  • Figure 54: 5G Mobile Device
  • Figure 55: 5G Challenges: Mobile SoC Performance vs. Energy Efficiency
  • Figure 56: Potential 5G Service Chart and Bandwidth & Latency Requirements
  • Figure 57: New Service Capabilities in 5G Environment

Tables

  • Table 1: Global Mobile Edge Computing Market 2019 - 2024
  • Table 2: Regional Markets for Mobile Edge Computing 2019 - 2024
  • Table 3: Mobile Edge Computing Users by Region 2019 - 2024
  • Table 4: Mobile Edge Computing Market by Components 2019 - 2024
  • Table 5: Mobile Edge Computing Market by Category 2019 - 2024
  • Table 6: Mobile Edge Computing Equipment Market by Category 2019 - 2024
  • Table 7: Mobile Edge Computing Platform Market by Category 2019 - 2024
  • Table 8: Mobile Edge Computing Software and API Market in Vertical Segment 2019 - 2024
  • Table 9: Mobile Edge Computing as a Service Market by Solution Type 2019 - 2024
  • Table 10: Mobile Edge Computing Users by Supporting Network 2019 - 2024
  • Table 11: Mobile Edge Computing Market by Technology 2019 - 2024
  • Table 12: Mobile Edge Computing Market by Analytics Type 2019 - 2024
  • Table 13: Mobile Edge Computing Market by Applications 2019 - 2024
  • Table 14: Mobile Edge Computing Market by Industry Segment 2019 - 2024
  • Table 15: Mobile Edge Computing Market by Industry Vertical 2019 - 2024
  • Table 16: North America Mobile Edge Computing Market Size by Component 2019 - 2024
  • Table 17: North America Mobile Edge Computing Server Market by Component 2019 - 2024
  • Table 18: North America Mobile Edge Computing Equipment Market by Category 2019 - 2024
  • Table 19: North America Mobile Edge Computing Platform Market by Category 2019 - 2024
  • Table 20: North America Mobile Edge Computing Software and API Market by Solution 2019 - 2024
  • Table 21: North America Mobile Edge Computing as a Service Market by Type 2019 - 2024
  • Table 22: North America Mobile Edge Computing Markets by Industry Vertical 2019 - 2024
  • Table 23: Europe Mobile Edge Computing Market Size by Component 2019 - 2024
  • Table 24: Europe Mobile Edge Computing Server Market by Category 2019 - 2024
  • Table 25: Europe Mobile Edge Computing Equipment Market by Category 2019 - 2024
  • Table 26: Europe Mobile Edge Computing Platform Market by Category 2019 - 2024
  • Table 27: Europe Mobile Edge Computing Software and API Market by Solution 2019 - 2024
  • Table 28: Europe Mobile Edge Computing as a Service Market by Type 2019 - 2024
  • Table 29: Europe Mobile Edge Computing Markets by Industry Vertical 2019 - 2024
  • Table 30: APAC Mobile Edge Computing Market Size by Component 2019 - 2024
  • Table 31: APAC Mobile Edge Computing Server Market by Category 2019 - 2024
  • Table 32: APAC: Mobile Edge Computing Equipment Market by Category 2019 - 2024
  • Table 33: APAC Mobile Edge Computing Platform Market by Category 2019 - 2024
  • Table 34: APAC Mobile Edge Computing Software & API Market by Solution 2019 - 2024
  • Table 35: APAC Mobile Edge Computing as a Service Market by Component 2019 - 2024
  • Table 36: APAC Mobile Edge Computing Market by Industry Vertical 2019 - 2024
  • Table 37: Global Real-time Data Analytics Revenue by App, Software, and Service
  • Table 38: Global Real-time Data Analytics Revenue in Industry Vertical
  • Table 39: Retail Real-time Data Analytics Revenue by Retail Segment
  • Table 40: Retail Real-time Data Analytics Revenue by App, Software, and Services
  • Table 41: Telecom & IT Real-time Data Analytics Rev by Segment
  • Table 42: Telecom & IT Real-time Data Analytics Rev by App, Software, and Services
  • Table 43: Energy & Utilities Real-time Data Analytics Rev by Segment
  • Table 44: Energy & Utilities Real-time Data Analytics Rev by App, Software, and Services
  • Table 45: Government Real-time Data Analytics Revenue by Segment
  • Table 46: Government Real-time Data Analytics Revenue by App, Software, and Services
  • Table 47: Healthcare & Life Science Real-time Data Analytics Revenue by Segment
  • Table 48: Healthcare & Life Science Real-time Data Analytics Revenue by App, Software, and Services
  • Table 49: Manufacturing Real-time Data Analytics Revenue by Segment
  • Table 50: Manufacturing Real-time Data Analytics Revenue by App, Software, and Services
  • Table 51: Transportation & Logistics Real-time Data Analytics Revenue by Segment
  • Table 52: Transportation & Logistics Real-time Data Analytics by App, Software, and Services
  • Table 53: Banking and Finance Real-time Data Analytics Revenue by Segment
  • Table 54: Banking & Finance Real-time Data Analytics Revenue by App, Software, and Services
  • Table 55: Smart Cities Real-time Data Analytics Revenue by Segment
  • Table 56: Smart Cities Real-time Data Analytics Revenue by App, Software, and Services
  • Table 57: Automotive Real-time Data Analytics Revenue by Segment
  • Table 58: Automotive Real-time Data Analytics Revenue by Apps, Software, and Services
  • Table 59: Education Real-time Data Analytics Revenue by Segment
  • Table 60: Education Real-time Data Analytics Revenue by App, Software, and Services
  • Table 61: Outsourcing Service Real-time Data Analytics Revenue by Segment
  • Table 62: Outsourcing Service Real-time Data Analytics Revenue by App, Software, and Services
  • Table 63: Real-time Data Analytics Revenue by Leading Vendor Platforms
  • Table 64: Investment in Data by Industry Vertical
  • Table 65: 5G Spectrum Band Options, Merits and Licenses
  • Table 66: Roadmap for 5G Requirements
  • Table 67: Roadmap for 5G Wireless Subsystem
  • Table 68: Roadmap for Virtualization and Software Networks
  • Table 69: Roadmap for Converged Connectivity