Big Data Analytics, Mobile Edge Computing, and Real-time Data: Technologies, Solutions, and Market Outlook 2018 - 2023

Table of Contents

Big Data Market: Business Case, Market Analysis and Forecasts 2018 – 2023

1 Executive Summary

2 Introduction
2.1 Big Data Overview
2.1.1 Defining Big Data
2.1.2 Big Data Ecosystem
2.1.3 Key Characteristics of Big Data
2.2 Research Background
2.2.1 Scope
2.2.2 Coverage
2.2.3 Company Focus

3 Big Data Challenges and Opportunities
3.1 Securing Big Data Infrastructure
3.1.1 Big Data Infrastructure
3.1.2 Infrastructure Challenges
3.1.3 Big Data Infrastructure Opportunities
3.2 Unstructured Data and the Internet of Things
3.2.1 New Protocols, Platforms, Streaming and Parsing, Software and Analytical Tools
3.2.2 Big Data in IoT will require Lightweight Data Interchange Format
3.2.3 Big Data in IoT will use Lightweight Protocols
3.2.4 Big Data in IoT will need Protocol for Network Interoperability
3.2.5 Big Data in IoT Demands Data Processing on Appropriate Scale

4 Big Data Technology and Business Case
4.1 Big Data Technology
4.1.1 Hadoop
4.1.2 NoSQL
4.1.3 MPP Databases
4.1.4 Others and Emerging Technologies
4.2 Emerging Technologies, Tools, and Techniques
4.2.1 Streaming Analytics
4.2.2 Cloud Technology
4.2.3 Google Search
4.2.4 Customize Analytical Tools
4.2.5 Internet Keywords
4.2.6 Gamification
4.3 Big Data Roadmap
4.4 Market Drivers
4.4.1 Data Volume & Variety
4.4.2 Increasing Adoption of Big Data by Enterprises and Telecom
4.4.3 Maturation of Big Data Software
4.4.4 Continued Investments in Big Data by Web Giants
4.4.5 Business Drivers
4.5 Market Barriers
4.5.1 Privacy and Security: The ‘Big’ Barrier
4.5.2 Workforce Re-skilling and Organizational Resistance
4.5.3 Lack of Clear Big Data Strategies
4.5.4 Technical Challenges: Scalability & Maintenance
4.5.5 Big Data Development Expertise

5 Key Sectors for Big Data
5.1 Industrial Internet and Machine-to-Machine
5.1.1 Big Data in M2M
5.1.2 Vertical Opportunities
5.2 Retail and Hospitality
5.2.1 Improving Accuracy of Forecasts and Stock Management
5.2.2 Determining Buying Patterns
5.2.3 Hospitality Use Cases
5.2.4 Personalized Marketing
5.3 Media
5.3.1 Social Media
5.3.2 Social Gaming Analytics
5.3.3 Usage of Social Media Analytics by Other Verticals
5.3.4 Internet Keyword Search
5.4 Utilities
5.4.1 Analysis of Operational Data
5.4.2 Application Areas for the Future
5.5 Financial Services
5.5.1 Fraud Analysis, Mitigation & Risk Profiling
5.5.2 Merchant-Funded Reward Programs
5.5.3 Customer Segmentation
5.5.4 Customer Retention & Personalized Product Offering
5.5.5 Insurance Companies
5.6 Healthcare and Pharmaceutical
5.6.1 Drug Development
5.6.2 Medical Data Analytics
5.6.3 Case Study: Identifying Heartbeat Patterns
5.7 Telecommunications
5.7.1 Telco Analytics: Customer/Usage Profiling and Service Optimization
5.7.2 Big Data Analytic Tools
5.7.3 Speech Analytics
5.7.4 New Products and Services
5.8 Government and Homeland Security
5.8.1 Big Data Research
5.8.2 Statistical Analysis
5.8.3 Language Translation
5.8.4 Developing New Applications for the Public
5.8.5 Tracking Crime
5.8.6 Intelligence Gathering
5.8.7 Fraud Detection and Revenue Generation
5.9 Other Sectors
5.9.1 Aviation
5.9.2 Transportation and Logistics: Optimizing Fleet Usage
5.9.3 Real-Time Processing of Sports Statistics
5.9.4 Education
5.9.5 Manufacturing

6 The Big Data Value Chain
6.1 Fragmentation in the Big Data Value
6.2 Data Acquisitioning and Provisioning
6.3 Data Warehousing and Business Intelligence
6.4 Analytics and Visualization
6.5 Actioning and Business Process Management
6.6 Data Governance

7 Big Data Analytics
7.1 The Role and Importance of Big Data Analytics
7.2 Big Data Analytics Processes
7.3 Reactive vs. Proactive Analytics
7.4 Technology and Implementation Approaches
7.4.1 Grid Computing
7.4.2 In-Database processing
7.4.3 In-Memory Analytics
7.4.4 Data Mining
7.4.5 Predictive Analytics
7.4.6 Natural Language Processing
7.4.7 Text Analytics
7.4.8 Visual Analytics
7.4.9 Association Rule Learning
7.4.10 Classification Tree Analysis
7.4.11 Machine Learning
7.4.12 Neural Networks
7.4.13 Multilayer Perceptron (MLP)
7.4.14 Radial Basis Functions
7.4.15 Geospatial Predictive Modelling
7.4.16 Regression Analysis
7.4.17 Social Network Analysis

8 Standardization and Regulatory Initiatives
8.1 Cloud Standards Customer Council
8.2 National Institute of Standards and Technology
8.3 OASIS
8.4 Open Data Foundation
8.5 Open Data Center Alliance
8.6 Cloud Security Alliance
8.7 International Telecommunications Union
8.8 International Organization for Standardization

9 Global Markets and Forecasts for Big Data
9.1 Global Big Data Markets 2018 – 2023
9.2 Regional Markets for Big Data 2018 – 2023
9.3 Leading Countries in Big Data
9.3.1 United States
9.3.2 China
9.4 Big Data Revenue by Product Segment 2018 – 2023
9.4.1 Database Management Systems
9.4.2 Big Data Integration Tools
9.4.3 Application Infrastructure and Middleware
9.4.4 Business Intelligence Tools and Analytics Platforms
9.4.5 Big Data in Professional Services

10  Key Big Data Players
10.1 Vendor Assessment Matrix
10.2 1010Data (Advance Communication Corp.)
10.3 Accenture
10.4 Actian Corporation
10.5 Alteryx
10.6 Amazon
10.7 Anova Data
10.8 Apache Software Foundation
10.9 APTEAN (Formerly CDC Software)
10.10 Booz Allen Hamilton
10.11 Bosch Software Innovations: Bosch IoT Suite
10.12 Capgemini
10.13 Cisco Systems
10.14 Cloudera
10.15 CRAY Inc.
10.16 Computer Science Corporation (CSC)
10.17 DataDirect Network
10.18 Dell EMC
10.19 Deloitte
10.20 Facebook
10.21 Fujitsu
10.22 General Electric (GE)
10.23 GoodData Corporation
10.24 Google
10.25 Guavus
10.26 HP Enterprise
10.27 Hitachi Data Systems
10.28 Hortonworks
10.29 IBM
10.30 Informatica
10.31 Intel
10.32 Jasper (Cisco Jasper)
10.33 Juniper Networks
10.34 Longview
10.35 Marklogic
10.36 Microsoft
10.37 Microstrategy
10.38 MongoDB (Formerly 10Gen)
10.39 MU Sigma
10.40 Netapp
10.41 NTT Data
10.42 Open Text (Actuate Corporation)
10.43 Opera Solutions
10.44 Oracle
10.45 Pentaho (Hitachi)
10.46 Qlik Tech
10.47 Quantum
10.48 Rackspace
10.49 Revolution Analytics
10.50 Salesforce
10.51 SAP
10.52 SAS Institute
10.53 Sisense
10.54 Software AG/Terracotta
10.55 Splunk
10.56 Sqrrl
10.57 Supermicro
10.58 Tableau Software
10.59 Tata Consultancy Services
10.60 Teradata
10.61 Think Big Analytics
10.62 TIBCO
10.63 Verint Systems
10.64 VMware (Part of EMC)
10.65 Wipro
10.66 Workday (Platfora)

11 Appendix: Big Data Support of Streaming IoT Data
11.1 Big Data Technology Market Outlook for Streaming IoT Data
11.1.1 IoT Data Management is a Ubiquitous Opportunity across Enterprise
11.1.2 IoT Data becomes a Big Data Revenue Opportunity
11.1.3 Real-time Streaming IoT Data Analytics becoming a Substantial Business Opportunity
11.2 Global Streaming IoT Data Analytics Revenue
11.2.1 Overall Streaming Data Analytics Revenue for IoT
11.2.2 Global Streaming IoT Data Analytics Revenue by App, Software, and Services
11.2.3 Global Streaming IoT Data Analytics Revenue in Industry Verticals
11.3 Regional Streaming IoT Data Analytics Revenue
11.3.1 Revenue in Region
11.3.2 APAC Market Revenue
11.3.3 Europe Market Revenue
11.3.4 North America Market Revenue
11.3.5 Latin America Market Revenue
11.3.6 ME&A Market Revenue
11.4 Streaming IoT Data Analytics Revenue by Country
11.4.1 Revenue by APAC Countries
11.4.2 Revenue by Europe Countries
11.4.3 Revenue by North America Countries
11.4.4 Revenue by Latin America Countries
11.4.5 Revenue by ME&A Countries

Figures

Figure 1: Big Data Ecosystem
Figure 2: Key Characteristics of Big Data
Figure 3: Big Data Use Cases in Industry Verticals
Figure 4: Big Data Stack
Figure 5: Framework for Big Data in IoT
Figure 2: NoSQL vs Legacy DB Performance Comparisons
Figure 7: Roadmap Big Data Technologies 2018 - 2030
Figure 8: The Big Data Value Chain
Figure 9: Big Data Value Flow
Figure 10: Big Data Analytics
Figure 11: Global Big Data Markets 2018 – 2023
Figure 12: Regional Big Data Markets 2018 – 2023
Figure 13: Database Management Systems 2018 – 2023
Figure 14: Data Integration and Quality Tools 2018 – 2023
Figure 15: Application Infrastructure and Middleware 2018 – 2023
Figure 16: Business Intelligence Tools and Analytics Platforms 2018 – 2023
Figure 17: Big Data in Professional Services 2018 – 2023
Figure 18: Big Data Vendor Ranking Matrix
Figure 19: Streaming IoT Data Sources Compared
Figure 20: Overall Streaming IoT Data Analytics

Tables

Table 1: Global Big Data Markets 2018 – 2023
Table 2: Regional Big Data Markets 2018 – 2023
Table 3: Big Data Markets by Product Segments 2018 – 2023
Table 4: Database Management Systems 2018 – 2023
Table 5: Data Integration Tools 2018 – 2023
Table 6: Application Infrastructure and Middleware 2018 – 2023
Table 7: Business Intelligence Tools and Analytics Platforms 2018 – 2023
Table 8: Big Data in Professional Services 2018 – 2023
Table 9: Big Data Analytics Platforms by Company
Table 10: Global Streaming IoT Data Analytics Revenue by App, Software, and Service
Table 11: Global Streaming IoT Data Analytics Revenue in Industry Vertical
Table 12: Retail Streaming IoT Data Analytics Revenue by Retail Segment
Table 13: Retail Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 14: Telecom & IT Streaming IoT Data Analytics Rev by Segment
Table 15: Telecom & IT Streaming IoT Data Analytics Rev by App, Software, and Services
Table 16: Energy & Utilities Streaming IoT Data Analytics Rev by Segment
Table 17: Energy & Utilities Streaming IoT Data Analytics Rev by App, Software, and Services
Table 18: Government Streaming IoT Data Analytics Revenue by Segment
Table 19: Government Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 20: Healthcare & Life Science Streaming IoT Data Analytics Revenue by Segment
Table 21: Healthcare & Life Science Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 22: Manufacturing Streaming IoT Data Analytics Revenue by Segment
Table 23: Manufacturing Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 24: Transportation & Logistics Streaming IoT Data Analytics Revenue by Segment
Table 25: Transportation & Logistics Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 26: Banking and Finance Streaming IoT Data Analytics Revenue by Segment
Table 27: Banking & Finance Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 28: Smart Cities Streaming IoT Data Analytics Revenue by Segment
Table 29: Smart Cities Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 30: Automotive Streaming IoT Data Analytics Revenue by Segment
Table 31: Automotive Streaming IoT Data Analytics Revenue by Apps, Software, and Services
Table 32: Education Streaming IoT Data Analytics Revenue by Segment
Table 33: Education Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 34: Outsourcing Service Streaming IoT Data Analytics Revenue by Segment
Table 35: Outsourcing Service Streaming IoT Data Analytics Revenue by App, Software, and Services
Table 36: Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 37: Streaming IoT Data Analytics Revenue in Region
Table 38: APAC Streaming IoT Data Analytics Revenue by Solution and Services
Table 39: APAC Streaming IoT Data Analytics Revenue in Industry Vertical
Table 40: APAC Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 41: Europe Streaming IoT Data Analytics Revenue by Solution and Services
Table 42: Europe Streaming IoT Data Analytics Revenue in Industry Vertical
Table 43: Europe Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 44: North America Streaming IoT Data Analytics Revenue by Solution and Services
Table 45: North America Streaming IoT Data Analytics Revenue in Industry Vertical
Table 46: North America Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 47: Latin America Streaming IoT Data Analytics Revenue by Solution and Services
Table 48: Latin America Streaming IoT Data Analytics Revenue in Industry Vertical
Table 49: Latin America Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 50: ME&A Streaming IoT Data Analytics Revenue by Solution and Services
Table 51: ME&A Streaming IoT Data Analytics Revenue in Industry Vertical
Table 52: ME&A Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
Table 53: Streaming IoT Data Analytics Revenue by APAC Countries
Table 54: Japan Streaming IoT Data Analytics Revenue by Solution and Services
Table 55: Japan Streaming IoT Data Analytics Revenue in Industry Vertical
Table 56: China Streaming IoT Data Analytics Revenue by Solution and Services
Table 57: China Streaming IoT Data Analytics Revenue in Industry Vertical
Table 58: India Streaming IoT Data Analytics Revenue by Solution and Services
Table 59: India Streaming IoT Data Analytics Revenue in Industry Vertical
Table 60: Australia Streaming IoT Data Analytics Revenue by Solution and Services
Table 61: Australia Streaming IoT Data Analytics Revenue in Industry Vertical
Table 62: Streaming IoT Data Analytics Revenue by Europe Countries
Table 63: Germany Streaming IoT Data Analytics Revenue by Solution and Services
Table 64: Germany Streaming IoT Data Analytics Revenue in Industry Vertical
Table 65: UK Streaming IoT Data Analytics Revenue by Solution and Services
Table 66: UK Streaming IoT Data Analytics Revenue in Industry Vertical
Table 67: France Streaming IoT Data Analytics Revenue by Solution and Services
Table 68: France Streaming IoT Data Analytics Revenue in Industry Vertical
Table 69: Streaming IoT Data Analytics Revenue by North America Countries
Table 70: US Streaming IoT Data Analytics Revenue by Solution and Services
Table 71: US Streaming IoT Data Analytics Revenue in Industry Vertical
Table 72: Canada Streaming IoT Data Analytics Revenue by Solution and Services
Table 73: Canada Streaming IoT Data Analytics Revenue in Industry Vertical
Table 74: Streaming IoT Data Analytics Revenue by Latin America Countries
Table 75: Brazil Streaming IoT Data Analytics Revenue by Solution and Services
Table 76: Brazil Streaming IoT Data Analytics Revenue in Industry Vertical
Table 77: Mexico Streaming IoT Data Analytics Revenue by Solution and Services
Table 78: Mexico Streaming IoT Data Analytics Revenue in Industry Vertical
Table 79: Streaming IoT Data Analytics Revenue by ME&A Countries
Table 80: South Africa Streaming IoT Data Analytics Revenue by Solution and Services
Table 81: South Africa Streaming IoT Data Analytics Revenue in Industry Vertical
Table 82: UAE Streaming IoT Data Analytics Revenue by Solution and Services
Table 83: UAE Streaming IoT Data Analytics Revenue in Industry Vertical

Multi-access Edge Computing (MEC): Market Outlook and Forecasts 2018 - 2023

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 2018 - 2023
7.1 Global Market 2018 - 2023
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 2018 – 2023
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 2018 – 2023
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 2018 – 2023
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 2018 – 2023

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 2018 - 2023
Figure 9: MEC Network Migration Ratio
Figure 10: MEC Enterprise Adoption Ratio
Figure 12: Global MEC Network Users 2018 – 2023
Figure 13: Global Real-time Data Analytics 2018 - 2023
Figure 14: Investment in Data by Industry Vertical 2018 – 2023

Tables

Table 1: MEC Market Size by Market Segment 2018 – 2023
Table 2: MEC Cloud Server Market by Category 2018 – 2023
Table 3: MEC Equipment Market by Category 2018 – 2023
Table 4: MEC Platform Market by Category 2018 – 2023
Table 5: MEC Software and API Market in Vertical Segment 2018 – 2023
Table 6: MEC Service Market by Type 2018 – 2023
Table 7: MEC Optimization CAPEX and OPEX Spend by Enterprise
Table 8: MEC Market by Region 2018 – 2023
Table 9: North America MEC Market by Segment 2018 – 2023
Table 10: North America MEC Cloud Server Market by Category 2018 – 2023
Table 11: North America MEC Equipment Market by Category 2018 – 2023
Table 12: North America MEC Platform Market by Category 2018 – 2023
Table 13: North America MEC Software and API Market in Vertical Segment 2018 – 2023
Table 14: North America MEC Service Market by Type 2018 – 2023
Table 15: North America MEC Market by Country 2018 - 2023
Table 16: APAC MEC Market by Market Segment 2018 – 2023
Table 17: APAC MEC Cloud Server Market by Category 2018 – 2023
Table 18: APAC MEC Equipment Market by Category 2018 – 2023
Table 19: APAC MEC Platform Market by Category 2018 – 2023
Table 20: APAC MEC Software and API Market in Vertical Segment 2018 – 2023
Table 21: APAC MEC Service Market by Type 2018 – 2023
Table 22: APAC MEC Market by Country 2018 - 2023
Table 23: Europe MEC Market by Market Segment 2018 – 2023
Table 24: Europe MEC Cloud Server Market by Category 2018 – 2023
Table 25: Europe MEC Equipment Market by Category 2018 – 2023
Table 26: Europe MEC Platform Market by Category 2018 – 2023
Table 27: Europe MEC Software and API Market in Vertical Segment 2018 – 2023
Table 28: Europe MEC Service Market by Type 2018 – 2023
Table 29: Europe MEC Market by Country 2018 - 2023
Table 30: MEC User by Supporting Network 2018 – 2023
Table 31: MEC Network User by Region 2018 - 2023
Table 32: North America MEC User by Supporting Network 2018 - 2023
Table 33: APAC MEC User by Supporting Network 2018 - 2023
Table 34: Europe MEC User by Supporting Network 2018 - 2023
Table 35: Global Real-time Data Analytics Revenue by App, Software, and Service 2018 - 2023
Table 36: Global Real-time Data Analytics Revenue in Industry Vertical 2018 – 2023
Table 37: Retail Real-time Data Analytics Revenue by Retail Segment 2018 - 2023
Table 38: Retail Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 39: Telecom and IT Real-time Data Analytics Rev by Segment 2018 – 2023
Table 40: Telecom and IT Real-time Data Analytics Rev by App, Software, and Services 2018 – 2023
Table 41: Energy and Utilities Real-time Data Analytics Rev by Segment 2018 – 2023
Table 42: Energy and Utilities Real-time Data Analytics Rev by App, Software, and Services 2018 – 2023
Table 43: Government Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 44: Government Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 45: Healthcare and Life Science Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 46: Healthcare and Life Science Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 47: Manufacturing Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 48: Manufacturing Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 49: Transportation and Logistics Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 50: Transportation and Logistics Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 51: Banking and Finance Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 52: Banking and Finance Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 53: Smart Cities Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 54: Smart Cities Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 55: Automotive Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 56: Automotive Real-time Data Analytics Revenue by Apps, Software, and Services 2018 – 2023
Table 57: Education Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 58: Education Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 59: Outsourcing Service Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 60: Outsourcing Service Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 61: Real-time Data Analytics Revenue by Leading Vendor Platforms 2018 – 2023
Table 62: Investment in Data by Industry Vertical 2018 – 2023

Companies Mentioned

• 1010Data (Advance Communication Corp.)
  
• Accenture
  
• Actian Corporation
  
• Alteryx
  
• Amazon
  
• Anova Data
  
• Apache Software Foundation
  
• APTEAN (Formerly CDC Software)
  
• Booz Allen Hamilton
  
• Bosch Software Innovations: Bosch IoT Suite
  
• Capgemini
  
• Cisco Systems
  
• Cloudera
  
• Computer Science Corporation (CSC)
  
• CRAY Inc.
  
• DataDirect Network
  
• Dell EMC
  
• Deloitte
  
• Facebook
  
• Fujitsu
  
• General Electric (GE)
  
• GoodData Corporation
  
• Google
  
• Guavus
  
• Hitachi Data Systems
  
• Hortonworks
  
• HP Enterprise
  
• IBM
  
• Informatica
  
• Intel
  
• Jasper (Cisco Jasper)
  
• Juniper Networks
  
• Longview
  
• Marklogic
  
• Microsoft
  
• Microstrategy
  
• MongoDB (Formerly 10Gen)
  
• MU Sigma
  
• Netapp
  
• NTT Data
  
• Open Text (Actuate Corporation)
  
• Opera Solutions
  
• Oracle
  
• Pentaho (Hitachi)
  
• Qlik Tech
  
• Quantum
  
• Rackspace
  
• Revolution Analytics
  
• Salesforce
  
• SAP
  
• SAS Institute
  
• Sisense
  
• Software AG/Terracotta
  
• Splunk
  
• Sqrrl
  
• Supermicro
  
• Tableau Software
  
• Tata Consultancy Services
  
• Teradata
  
• Think Big Analytics
  
• TIBCO
  
• Verint Systems
  
• VMware (Part of EMC)
  
• Wipro
  
• Workday (Platfora)
  

Methodology