The "Industrial Convergence: 5G, IIoT, 3D Printing, Big Data, and Streaming IoT Data Analytics 2018 - 2023" report has been added to ResearchAndMarkets.com's offering.

The industrial sector is rapidly integrating Internet of Things (IoT) with other key technologies including 3D Printing, Big Data and Streaming Analytics. This convergence will have a profound effect on industrial processes as well as create opportunities for product and service transformation. In some cases, entirely new business models will result from integration with broadband wireless and cloud technologies as the as a service model transforms many existing products into services. Looking beyond command and control of machinery and processes, IoT data itself will become extremely valuable as an agent of change for product development as well as identification of supply gaps and realization of unmet demands.

This research evaluates the status and prospects for 5G as well as supporting technologies such as Mobile Edge Computing. This research also evaluates IIoT technologies, companies, applications, services, and solutions. Report forecasts include overall global and regional IIoT outlook as well as IIoT by industry vertical, software, hardware, and services for the period 2018 to 2023.

This research includes an examination of the 3D market from multiple facets including hardware manufacturers, service providers, application providers, software providers, raw material providers, and communities. The report also assesses the market impact and provides forecasts across all verticals globally and regionally for 2018 to 2023.

This research also provides an in-depth assessment of the global Big Data market, including a study of the business case, application use cases, vendor landscape, value chain analysis, case studies and a quantitative assessment of the industry with forecasting from 2017 to 2022.

Finally, it evaluates the technologies, companies, and solutions for real-time IoT data processing and analytics. The report assesses challenges and opportunities associated with realizing business value from real-time analytics. The report provides detailed forecasts globally, regionally, and across industry verticals and solution categories for 2018 to 2023.

Key Topics Covered

5G Planning, Strategy, and Market for Next Generation Apps and Services

1. Introduction
1.1 5G Technologies
1.2 Mobile Spectrum Evolution
1.2.1 1G - 2G - 3G - 4G
1.2.2 4G - 4.5G - 4.5G Pro - 4.9G - 5G
1.3 5G Spectrum Options and Utilization via Low Bands, Mid Bands, and High Bands
1.4 5G Ecosystem Architecture and Planning
1.5 5G Ecosystem Planning: Societal vs. Technology Considerations

2. 5G Network Planning, Implementation, and Applications
2.1 5G Network Planning and Strategic Considerations
2.1.1 LTE Foundation, Device Ecosystem, LAA, and 5G Readiness
2.1.2 Spectrum Sharing and Utilization
2.1.3 Narrowband 5G for Massive IoT
2.1.4 Multi Connectivity Architecture with Small Cell Deployment
2.1.5 Relevance of Mobile IoT Technology: NB-IoT & eMTC
2.1.6 OSS/BSS Architecture for 5G Service Operation
2.1.7 Multi-Antenna and Beamforming Impact
2.1.8 End to End Network Slicing with NFV and SDN
2.1.9 LTE Continuation in 5G Era
2.1.10 Service Design, ROI and 5G Network
2.2 5G Technology Requirements and Network Impact
2.2.1 Network Coverage and Efficiency
2.2.2 Network Spectrum Efficiency
2.2.3 Data Throughput
2.2.4 Connection Density
2.2.5 UR-LLC (Ultra-Reliable Low Latency Communication)
2.2.6 Network Energy Usage
2.2.7 Improved Battery Life
2.2.8 Improved Flexibility in Air Interface and Versatility
2.2.9 Massive MIMO
2.2.10 mmWave Technology
2.2.11 Integration of Access and Backhaul
2.2.12 D2D Communication
2.2.13 Flexible Duplex: FDD and TDD
2.2.14 Multi-Antenna Transmission Scenario
2.2.15 Decoupling User Data from Control System
2.3 5G Technology and Network Architecture
2.3.1 Massive MIMO and Beamforming
2.3.2 Cloud RAN
2.3.3 Broadband Spectrum and Satellite
2.3.4 5G New Radio (NR)
2.3.5 Software Defined Air Interface
2.3.6 Network Function Virtualization (NFV)
2.3.7 Self Organizing Network (SON) and Self-Healing Network (SHN)
2.3.8 HetNet and H-CRAN
2.3.9 Large-Scale Cooperative Spatial Signal Processing (LS-CSSP)
2.3.10 Software Defined Radio (SDR)
2.3.11 Visible Light Communications (VLCs)
2.3.12 Cross Layer Controller
2.3.13 Cognitive Radios (CRs) and Transmission Technologies
2.3.14 Scalable OFDM and Subcarrier Spacing
2.4 5G Network Implementation
2.4.1 Base Stations
2.4.2 Small Cells
2.4.3 Macro Cells
2.4.4 Baseband Units and RF Units
2.4.5 Mobile Core
2.4.6 Remote Radio Heads
2.4.7 Front-haul and Backhaul Networks
2.5 Strategic Relevance of 4.5G, 4.5G Pro, and 4.9G
2.5.1 Mobile IoT and M2M Communication
2.5.2 Broadcast Services and Immersive Entertainment
2.5.3 Vehicular Communication
2.5.4 Public Safety Network 1
2.5.5 Smart City Applications
2.5.6 Private Enterprise Network

3. 5G Initiatives, R&D, and Field Trials
3.1 5G Strategic Initiatives in Region
3.1.1 Asia
3.1.1.1 China
3.1.1.1.1 IMT-2020 Promotion Group
3.1.1.1.2 China National Key Project on 5G
3.1.1.2 South Korea
3.1.1.3 Japan
3.1.2 Europe
3.1.2.1 European Union Framework Project 7 (FP7)
3.1.2.2 European Union Framework Project 8 (FP8) /Horizon 2020
3.1.2.3 Celtic Plus
3.1.2.4 EIT and Other projects
3.1.3 America
3.2 5G Standardization Initiatives and Development
3.2.1 3GPP
3.2.2 5G Americas
3.2.3 ATIS
3.2.4 GSMA
3.2.5 IEEE
3.2.6 ITU
3.2.7 NGMN
3.2.8 TIA
3.2.9 FCC TAC
3.3 5G Trial by Mobile Operators
3.4 5G Spectrum Aspects
3.4.1 WRC - 15 and 19
3.4.2 FCC
3.4.3 5G Americas
3.4.4 CITEL
3.4.5 ITU
3.4.6 GSMA
3.4.7 GSA

4. Market Outlook and Forecasts for Next Generation 5G Apps
4.1 5G Industrial Automation Global Forecasts 2020 - 2025
4.1.1 IIoT 5G Automation Market Value
4.1.1.1 Market by Segment
4.1.1.1.1 Hardware and Equipment Market by Types of Device
4.1.1.2 Market by Industry Verticals
4.1.1.3 Market by Technology Application
4.1.2 Wireless IIoT 5G Device Deployments
4.1.2.1 Deployment by Device Type
4.1.2.2 Deployment by Industry Vertical
4.2 5G Industrial Automation Regional Forecasts 2020 - 2025
4.2.1 Market Value by Region
4.2.2 Market Value by Leading Countries
4.2.3 Deployment by Region
4.2.4 Deployment by Leading Countries
4.2.5 Europe Market Forecasts
4.2.5.1 Market Value by Segment, Devices, Industry Vertical, and Technology Application
4.2.5.2 Deployment Base by Devices and Industry Vertical
4.2.6 North America Market Forecasts
4.2.6.1 Market Value by Segment, Devices, Industry Vertical and Technology Application
4.2.6.2 Deployment Base by Devices and Industry Vertical
4.2.7 APAC Market Forecasts
4.2.7.1 Market Value by Segment, Devices, Industry Vertical and Technology Application
4.2.7.2 Deployment Base by Devices and Industry Vertical
4.3 5G Robotics Global Market Revenue
4.3.1 Autonomous Robot Market
4.3.2 5G Enabled Autonomous Robot Market
4.3.3 5G Enabled Autonomous Robot Market by Categories
4.4 5G Robotics Regional Forecasts
4.4.1 5G Enabled Autonomous Robot by Region
4.4.2 North America 5G Enabled Autonomous Robot Market by Categories
4.4.3 Europe 5G Enabled Autonomous Robot Market by Categories
4.4.4 APAC 5G Enabled Autonomous Robot Market by Categories
4.5 Global 5G Enabled Virtual Reality Market
4.5.1 Combined Market Revenue 2021 - 2026
4.5.2 Combined Unit Shipment 2021 - 2026
4.5.3 Combined Active User 2021 - 2026
4.6 5G Accelerated VR Uptake Market
4.6.1 Market by Segments 2021 - 2026
4.6.1.1 Hardware Market
4.6.1.1.1 Full Feature Device including Haptic and Eyewear Devices
4.6.1.1.2 Hardware Components including Haptic Sensors and Semiconductor Components
4.6.1.2 Software and Application Market
4.6.1.3 Professional Service Market 2
4.6.2 VR Shipment Units 2021 - 2026
4.6.3 VR Active Users 2021 - 2026
4.6.4 5G VR Market by Region 2021 - 2026
4.6.4.1 North America Market
4.6.4.2 APAC Market
4.6.4.3 Europe Market
4.6.5 5G Consumer VR Application Market 2021 - 2026
4.6.6 Gaming
4.6.6.1 Pokemon Go Market Learning
4.6.7 Live Events
4.6.8 Video Entertainment
4.7 5G VR Enterprise Application Market 2021 - 2026
4.7.1 Retail Sector
4.7.2 Real Estate
4.7.3 Healthcare
4.7.4 Education
4.8 5G VR Industrial Application Market 2021 - 2026
4.8.1 Military
4.8.2 Engineering
4.8.3 Civil Aviation
4.8.4 Medical Industry
4.8.5 Agriculture
4.8.6 Government and Public Sector

5. Conclusions and Recommendations

Industrial Internet of Things (IIoT) Technologies, Solutions, and Services 2018 - 2023

1 Introduction
1.1 Scope of Research
1.2 Target Audience
1.3 Key Findings in Report
1.4 Companies in Report

2 Executive Summary
2.1 IIoT Markets by Region 2018 - 2023
2.2 IIoT Global Markets by Products 2018 - 2023

3 Overview
3.1 Defining Industrial Internet of Things
3.1.1 People, Processes, and Technology
3.1.2 IIoT and People
3.1.3 IIoT and Processes
3.1.4 IIoT and Technologies
3.2 Critical Focal Areas for IIoT Execution
3.3 IIoT Application Areas
3.3.1 Process Optimization
3.3.2 Enhance, Integrate and Scale existing Corporate IT Systems
3.3.3 Leverage Potential of Existing Infrastructure
3.4 Forming a Foundation for IIoT
3.4.1 Industrial Internet Consortium
3.4.2 Industry Leading Companies set the Pace
3.4.3 Industry Test Beds for IIoT
3.4.4 Industrial Internet Reference Architecture
3.5 Evaluating the Future Potential of IIoT
3.5.1 Cyber-security is a Critical Concern with IIoT
3.5.2 IIoT is Facilitating a Drive in Industrial Automation
3.5.3 Early IIoT Deployments to Benefit Existing Industries
3.5.4 IIoT will work in Collaboration to achieve Success
3.5.5 IIoT and the Fourth Industry Revolution
3.5.6 IIoT to Facilitate Transition to Smart Factories
3.5.7 Connected Factory: New Roles for Suppliers and Customers
3.5.8 IIoT and Product Transformation to an as a Service Economy
3.5.9 Intelligent Manufacturing: From Smart Factories to Smarter Factories
3.5.10 Teleoperation and Tele-robotics
3.5.11 IIoT and Fifth Generation (5G) Wireless

4 IIoT Technologies
4.1 Hardware Technologies
4.1.1 Hardware Development Platforms
4.1.2 Smart Sensors
4.2 Software Technologies
4.2.1 Connectivity Platforms
4.2.2 Data Storage Platforms
4.2.3 Data Analytics and Visualization Platforms
4.2.4 IoT Protocols
4.2.4.1 ZigBee
4.2.4.2 Message Queuing Telemetry Transport (MQTT)
4.2.4.3 XMPP Accelerates IoT
4.2.4.4 AMQP is Provides Rich Capabilities for Distributed Systems
4.2.4.5 DDS enables Network Interoperability in IoT
4.2.4.6 Thread
4.2.5 Next Generation Real Time Operating Systems (RTOS)
4.3 IIoT and Manufacturing Execution Systems (MES)
4.3.1 Role and Importance with IIoT
4.3.2 MES and Cyber-Physical Systems
4.3.3 MES in the Cloud and other Convergence
4.3.4 Future of IIoT Enabled MES
4.4 Network Technologies in IIoT
4.4.1 Wireless Local Area Network
4.4.2 Wireless Personal Area Network
4.4.3 Wireless Sensor Network

5 IIoT Global Market Analysis and Forecasts 2018 - 2023
5.1 IIoT Markets by Region 2018 - 2023
5.2 IIoT Global Markets by Products Offered 2018 - 2023
5.2.1 IIoT in Hardware in 2018 - 2023
5.2.1.1 Connectivity platforms
5.2.1.2 Sensor Infrastructures
5.2.1.3 Hardware Development Platforms
5.2.2 IIoT in Software in 2018 - 2023
5.2.2.1 Data Storage
5.2.2.2 Software Development Platforms and Apps
5.2.2.3 Data Analytics Platform
5.2.2.4 Cyber-security Solutions
5.2.3 IIoT in Services 2018 - 2023
5.2.3.1 Cloud based Services
5.2.3.2 Management and Consulting Services
5.3 IIoT Global Markets by Industry Sector 2018 - 2023
5.3.1 IIoT Deployments in Manufacturing Sector 2018 - 2023
5.3.2 Healthcare in IIoT 2018 - 2023
5.3.3 Automotive Industry in IIoT 2017 - 2002
5.3.4 Retail Industry in IIoT 2018 - 2023
5.3.5 Oil and Gas Industry in IIoT 2018 - 2023
5.3.6 IIoT in Cargo and Logistic Sector 2018 - 2023
5.3.7 IIoT in Utilities Sector 2018 - 2023
5.3.8 IIoT in Hospitality Sector 2018 - 2023
5.4 Market for Teleoperation and Tele-robotics in IIoT
5.4.1 IIoT Teleoperation and Tele-robotics Solutions by Segment
5.4.2 IIoT Teleoperation and Tele-robotics Solutions by Region
5.4.3 IIoT Teleoperation and Tele-robotics Solutions by Tech and App
5.4.4 IIoT Teleoperation and Tele-robotics Solution by Industry Vertical
5.4.5 Artificial Intelligence in IIoT Teleoperation and Tele-robotics Solutions

6 Company Analysis
6.1 AGT International
6.2 ARM Holdings
6.3 AT&T Inc.
6.3.1 AT&T Machine to Machine Solutions
6.3.2 AT&T M2X
6.4 B+B SmartWorx
6.5 Bayshore Networks
6.6 Bosch
6.6.1 Bosch Connected Devices and Solutions GmbH
6.6.2 Bosch Software Innovations: Bosch IoT Suite
6.7 Cisco System Inc.
6.7.1 Cisco Industrial Networks
6.7.2 Cisco Embedded Networks
6.7.3 Management and Application Enablement
6.7.4 Physical and Cyber Cyber-security
6.7.5 Cisco IIoT Solutions
6.8 Contiki
6.9 Digi International
6.10 Echelon Corporation
6.10.1 Echelon's IzoT Platform
6.11 Elecsys Corporation
6.12 General Electric
6.12.1 GE Predicitvity Solution
6.12.2 GE Predix Platform
6.13 Jasper Technologies Inc. (Cisco)
6.14 Lynx Software Technologies, Inc.
6.15 Object Management Group (OMG)
6.15.1 Data Distribution Service (DDS)
6.15.2 Dependability Assurance Framework for Safety-Sensitive Consumer Devices
6.15.3 Threat Modelling
6.15.4 Structured Assurance Case Meta-model (SACM)
6.15.5 Unified Component Model for Distributed, Real-Time and Embedded Systems (UCM)
6.15.6 Automated Source Code CWE-SANS Top 25-Based Cyber-security Measure
6.15.7 Oil and Gas Risk Management
6.16 OneM2M Partners
6.17 ParStream (Cisco)
6.18 RIOT
6.19 Real Time Innovation (RTI)
6.19.1 RTI Connext DDS
6.19.2 RTI Industrial IoT FastTrax Program
6.20 Sensata Technologies
6.21 Symantec
6.22 Unisys Corporation
6.23 Wind River
6.24 Worldsensing
6.25 Wovyn LLC

3D Printing Market Outlook and Forecasts 2018 - 2023

1 Introduction
1.1 3D Printing or Additive Manufacturing
1.2 Traditional Manufacturing vs. Additive Manufacturing
1.3 3D Printing Process
1.4 3D Printing Business Benefits
1.4.1 Creation of Complex Design
1.4.2 High Level of Customization
1.4.3 Keep Fixed Costs Low following Single Tool Process
1.4.4 Prototyping Process Much Faster and Increase Time of Market
1.4.5 Help Businesses Reduce Waste
1.4.6 Enterprise Usage Benefits
1.5 3D Printing Business Drivers
1.5.1 Personalization in Manufacturing
1.5.2 Collaborative Design and Development
1.5.3 Sustainability in Manufacturing Process
1.6 3D Printing SWOT Analysis
1.6.1 Strengths and Opportunities
1.6.2 Weakness and Threats
1.7 3D Printing Investment Trend Analysis
1.7.1 Regional Investment Trend
1.7.2 Corporate Investment Trend
1.7.3 Government Investment Trend
1.7.4 Emerging Investment Opportunity
1.7.5 3D Printing Risk Exposure Analysis
1.7.6 Merger and Acquisition Analysis
1.7.7 Industry Funding Analysis
1.8 Patent Analysis

2 Technology and Market Analysis
2.1 3D Printing Technology
2.1.1 Powder Bed Fusion
2.1.2 Fused Deposition Modelling
2.1.3 Stereo Lithography
2.1.4 Jetting Technology
2.1.5 Digital Light Processing
2.1.6 Continuous Liquid Interface Production
2.1.7 Fusion Jet
2.1.8 Selective Deposition Lamination
2.1.9 Laminated Object Manufacturing
2.1.10 Fused Filament Fabrication
2.1.11 Inkjet Printing
2.1.12 Laser Metal Deposition
2.2 Industrial vs. Desktop 3D Printer
2.3 3D Printer Pricing and Order Value Analysis
2.4 3D Printing Raw Material
2.4.1 Polymer
2.4.2 Metals and Alloy
2.4.3 Ceramics
2.4.4 Other Materials
2.5 3D Printing Software and Service
2.5.1 Embedded AI Software
2.6 3D Printing Online Service
2.7 3D Printing Commercial vs. Personal Use

3 Ecosystem and Value Chain Analysis
3.1 3D Printing Value Chain and Elements
3.1.1 Multi-material vs. Mesostructure Material
3.2 Emerging 3D Printing Ecosystem
3.2.1 Object Distribution
3.2.2 Printer Control Systems
3.2.3 Printer Access Networks
3.2.4 IoT and Artificial Intelligence
3.3 3D Printing Competitive Landscape
3.3.1 3D Printer Manufacturers
3.3.2 3D Printing Service Providers
3.3.3 3D Printing Marketplace Providers
3.3.4 3D Printing Application Providers
3.3.5 3D Scanner Manufacturers
3.3.6 3D Printing CAD Software Providers
3.3.7 3D Printing Raw Material providers
3.3.8 3D Printing Network Providers
3.3.9 3D Printing Communities
3.4 3D Printing Vendor Market Share

4 Applications, Use Cases, and Market Outlook
4.1 3D Printing Application
4.2 3D Printing Process
4.3 3D Printing End User Industry
4.4 3D Printing Use Case
4.4.1 Power, Energy, and Engineering Sector
4.4.2 Automotive Sector
4.4.3 Consumer, Retail, and Fashion Sector
4.5 3D Printing Future Market
4.5.1 Accelerate Industry 4.0
4.5.2 Multi-Material and Cheaper 3D Printer
4.5.3 3D Community Modeling
4.5.4 3D PrinTable Consumer Things

5 3D Printing Market Analysis and Forecasts
5.1 Global 3D Printing Market Forecasts 2018 - 2023
5.1.1 Combined 3D Printing Market
5.1.2 3D Printing Market by Segment
5.1.3 3D Printing Market by Technology
5.1.4 3D Printing Market by Use
5.1.5 3D Printing Market by Application Type
5.1.6 3D Printing Market by Process Type
5.1.7 3D Printing Market by Industry Vertical
5.2 Regional 3D Printing Market Forecasts 2018 - 2023
5.2.1 3D Printing Market by Region
5.2.2 North America 3D Printing Market by Hardware, Raw Material, Embedded AI Software, Service, Online Printing Service, Connectivity Technology, Printing Technology, Type of Use, Application Type, Process Type, Industry Vertical, and Leading Countries
5.2.3 Europe 3D Printing Market by Hardware, Raw Material, Embedded AI Software, Service, Online Printing Service, Connectivity Technology, Printing Technology, Type of Use, Application Type, Process Type, Industry Vertical, and Leading Countries
5.2.4 APAC 3D Printing Market by Hardware, Raw Material, Embedded AI Software, Service, Online Printing Service, Connectivity Technology, Printing Technology, Type of Use, Application Type, Process Type, Industry Vertical, and Leading Countries
5.2.5 MEA 3D Printing Market by Hardware, Raw Material, Embedded AI Software, Service, Online Printing Service, Connectivity Technology, Printing Technology, Type of Use, Application Type, Process Type, Industry Vertical, and Leading Countries
5.2.6 Latin America 3D Printing Market by Hardware, Raw Material, Embedded AI Software, Service, Online Printing Service, Connectivity Technology, Printing Technology, Type of Use, Application Type, Process Type, Industry Vertical, and Leading Countries
5.3 3D Printer Unit Shipment Forecasts 2018 - 2023
5.3.1 Combined 3D Printer Unit Shipment
5.3.2 3D Printer Unit Shipment by Printer Type
5.3.3 3D Printer Unit Shipment by Use
5.3.4 3D Printer Unit Shipment by Industry Vertical
5.3.5 3D Printer Unit Shipment by Region
5.4 3D Printing Raw Materials Supply Forecasts 2018 - 2023
5.4.1 Combined 3D Printing Raw Material Supply
5.4.2 3D Printing Raw Material Supply by Type
5.4.3 3D Printing Raw Material Supply by Form
5.4.4 3D Printing Raw Material Supply by Printer Type
5.4.5 3D Printing Raw Material Supply by Industry Vertical
5.4.6 3D Printing Raw Material Supply by Region

6 Company and Solution Analysis
6.1 3D Systems Inc.
6.2 Arcam AB
6.3 Stratasys Ltd.
6.4 Autodesk Inc.
6.5 Hoganas AB
6.6 Organovo Holdings Inc.
6.7 MCOR Technologies Ltd
6.8 Voxeljet AG
6.9 EnvisionTEC Inc.
6.10 EOS GmbH Electro Optical Systems
6.11 ExOne Company
6.12 Ultimaker BV
6.13 Concept Laser GmbH
6.14 Canon Inc.
6.15 Dassault Systemes
6.16 GE Additive
6.17 Hewlett-Packard Development Company L.P.
6.18 Optomec Inc.
6.19 SLM Solutions Group AG
6.20 Solidscape Inc.

7 Conclusions and Recommendations
7.1 3D Printer and Material Providers
7.2 Artificial Intelligence Providers
7.3 Broadband Infrastructure Providers
7.4 Communication Service Providers
7.5 Computing Companies
7.6 Data Analytics Providers
7.7 Networking Equipment Providers
7.8 Networking Security Providers
7.9 Semiconductor Companies
7.10 IoT Suppliers and Service Providers
7.11 Software and Platform Providers
7.12 Automotive Companies

The 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
7.4.10Classification Tree Analysis
7.4.11Machine Learning
7.4.12Neural Networks
7.4.13Multilayer Perceptron (MLP)
7.4.14Radial Basis Functions
7.4.15Geospatial Predictive Modelling
7.4.16Regression Analysis
7.4.17Social 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

Streaming IoT Data Market Outlook and Forecasts 2018 - 2023

1 Introduction
1.1 Research Background
1.2 Research Scope
1.3 Target Audience
1.4 Companies Covered

2 Executive Summary

3 Overview
3.1 Understanding IoT Data
3.1.1 IoT Data vs. other Unstructured Data
3.1.2 Key IoT Data Characteristics
3.1.2.1 IoT Data is Real Time
3.1.2.2 Massive Volumes of IoT Data
3.1.2.3 IoT Data Generates Useful Insights
3.2 IoT Data Management Operations
3.2.1 Basic Data Implementation and Operational Challenges
3.2.1.1 IoT Data Scalability
3.2.1.2 IoT Data Integration
3.2.2 Data Management and Processing Raw Data
3.2.3 Centralized Storage and Decentralized Processing
3.2.4 Accessing and Exchanging IoT Data via APIs
3.2.5 Data Security and Personal Information Privacy
3.4 Market Outlook for IoT Data Analytics
3.4.1 IoT Data Management is a Ubiquitous Opportunity across Enterprise
3.4.2 IoT Data becomes a Big Revenue Opportunity
3.4.3 Organizations increasing Adopt Predictive Analytics with IoT Data
3.5 Real-time Streaming IoT Data Analytics becoming a Substantial Business Opportunity

4 Vendor Analysis
4.1 Accenture
4.2 AGT International
4.3 Bosch Software Innovations
4.4 Capgemini
4.5 Cisco Systems, Inc.
4.6 GE Digital
4.7 Google
4.8 Intel Corporation
4.9 Lynx Software Technologies, Inc.
4.10 Maana, Inc.
4.11 Microsoft Corporation
4.12 MongoDB Inc.
4.13 ParStream (Cisco)
4.14 PTC
4.15 RIOT
4.16 SAP SE
4.17 SQLstream, Inc.
4.18 Tellient
4.19 Teradata Corporation
4.20 Wind River

5 Streaming IoT Data Analytics Revenue 2018 - 2023
5.1 Global Streaming Data Analytics Revenue for IoT
5.2 Global Streaming IoT Data Analytics Revenue by App, Software, and Services
5.3 Global Streaming IoT Data Analytics Revenue in Industry Verticals
5.3.1 Streaming IoT Data Analytics Revenue in Retail
5.3.1.1 Streaming IoT Data Analytics Revenue by Retail Segment
5.3.1.2 Streaming IoT Data Analytics Retail Revenue by App, Software, and Service
5.3.2 Streaming IoT Data Analytics Revenue in Telecom and IT
5.3.2.1 Streaming IoT Data Analytics Revenue by Telecom and IT Segment
5.3.2.2 Streaming IoT Data Analytics Revenue by Telecom & IT App, Software, and Service
5.3.3 Streaming IoT Data Analytics Revenue in Energy and Utility
5.3.3.1 Streaming IoT Data Analytics Revenue by Energy and Utility Segment
5.3.3.2 Streaming IoT Data Analytics Energy and Utilities Revenue by App, Software, and Service
5.3.4 Streaming IoT Data Analytics Revenue in Government
5.3.4.1 Streaming IoT Data Analytics Revenue by Government Segment
5.3.4.2 Streaming IoT Data Analytics Government Revenue by App, Software, and Service
5.3.5 Streaming IoT Data Analytics Revenue in Healthcare and Life Science
5.3.5.1 Streaming IoT Data Analytics Revenue by Healthcare Segment
5.3.6 Streaming IoT Data Analytics Revenue in Manufacturing
5.3.6.1 Streaming IoT Data Analytics Revenue by Manufacturing Segment
5.3.6.2 Streaming IoT Data Analytics Manufacturing Revenue by App, Software, and Service
5.3.7 Streaming IoT Data Analytics Revenue in Transportation & Logistics
5.3.7.1 Streaming IoT Data Analytics Revenue by Transportation & Logistics Segment
5.3.7.2 Streaming IoT Data Analytics Transportation & Logistics Revenue by App, Software, and Service
5.3.8 Streaming IoT Data Analytics Revenue in Banking and Finance
5.3.8.1 Streaming IoT Data Analytics Revenue by Banking and Finance Segment
5.3.8.2 Streaming IoT Data Analytics Revenue by Banking & Finance App, Software, and Service
5.3.9 Streaming IoT Data Analytics Revenue in Smart Cities
5.3.9.1 Streaming IoT Data Analytics Revenue by Smart City Segment
5.3.9.2 Streaming IoT Data Analytics Revenue by Smart City App, Software, and Service
5.3.10 Streaming IoT Data Analytics Revenue in Automotive
5.3.10.1 Streaming IoT Data Analytics Revenue by Automobile Industry Segment
5.3.10.2 Streaming IoT Data Analytics Revenue by Automotive Industry App, Software, and Service
5.3.11 Streaming IoT Data Analytics Revenue in Education
5.3.11.1 Streaming IoT Data Analytics Revenue by Education Industry Segment
5.3.11.2 Streaming IoT Data Analytics Revenue by Education Industry App, Software, and Service
5.3.12 Streaming IoT Data Analytics Revenue in Outsourcing Services
5.3.12.1 Streaming IoT Data Analytics Revenue by Outsourcing Segment
5.3.12.2 Streaming IoT Data Analytics Revenue by Outsourcing Industry App, Software, and Service
5.4 Streaming IoT Data Analytics Revenue by Leading Vendor Platform
5.4.1 Global Investment in IoT Data by Industry Sector 2018 - 2023

6 Appendix
6.1 Regional Streaming IoT Data Analytics Revenue 2018 - 2023
6.1.1 Revenue in Region
6.1.2 APAC Market Revenue
6.1.3 Europe Market Revenue
6.1.4 North America Market Revenue
6.1.5 Latin America Market Revenue
6.1.6 ME&A Market Revenue
6.2 Streaming IoT Data Analytics Revenue by Country 2018 - 2023
6.2.1 Revenue by APAC Countries
6.2.1.1 Leading Countries
6.2.1.2 Japan Market Revenue
6.2.1.3 China Market Revenue
6.2.1.4 India Market Revenue
6.2.1.5 Australia Market Revenue
6.2.2 Revenue by Europe Countries
6.2.2.1 Leading Countries
6.2.2.2 Germany Market Revenue
6.2.2.3 UK Market Revenue
6.2.2.4 France Market Revenue
6.2.3 Revenue by North America Countries
6.2.3.1 Leading Countries
6.2.3.2 US Market Revenue
6.2.3.3 Canada Market Revenue
6.2.4 Revenue by Latin America Countries
6.2.4.1 Leading Countries
6.2.4.2 Brazil Market Revenue
6.2.4.3 Mexico Market Revenue
6.2.5 Revenue by ME&A Countries
6.2.5.1 Leading Countries
6.2.5.2 South Africa Market Revenue
6.2.5.3 UAE Market Revenue

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