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Industrial IoT Convergence Report 2017-2022: 5G, IIoT, 3D Printing, Big Data, and Streaming IoT Data Analytics

/EIN News/ -- Dublin, June 09, 2017 (GLOBE NEWSWIRE) -- Research and Markets has announced the addition of the "Industrial IoT Convergence: 5G, IIoT, 3D Printing, Big Data, and Streaming IoT Data Analytics 2017 - 2022" report to their offering.

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 2017 to 2022.

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 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 2017 to 2022.

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 2017 to 2022.

Target Audience:

- Network service providers
- Wireless device manufacturers
- Systems integration companies
- IoT and wireless device manufacturers
- Data management and analytics companies
- Enterprise across virtually all industry verticals

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
1.3 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
2.2 5G Technology Requirements and Network Impact
2.3 5G Technology and Network Architecture
2.4 5G Network Implementation
2.5 Strategic Relevance of 4.5G, 4.5G Pro, and 4.9G

3. 5G Initiatives, R&D, and Field Trials
3.1 5G Strategic Initiatives in Region
3.2 5G Standardization Initiatives and Development
3.3 5G Trial by Mobile Operators
3.4 5G Spectrum Aspects

4. Market Outlook and Forecasts for Next Generation 5G Apps
4.1 5G Industrial Automation Global Forecasts 2020 - 2025
4.2 5G Industrial Automation Regional Forecasts 2020 - 2025
4.3 5G Robotics Global Market Revenue
4.4 5G Robotics Regional Forecasts
4.5 Global 5G Enabled Virtual Reality Market
4.6 5G Accelerated VR Uptake Market
4.7 5G VR Enterprise Application Market 2021 - 2026
4.8 5G VR Industrial Application Market 2021 - 2026

5. Conclusions and Recommendations

Industrial Internet of Things (IIoT) Technologies, Solutions, and Services 2017 - 2022

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 2017 - 2022
2.2 IIoT Global Markets by Products 2017 - 2022

3 Overview
3.1 Defining Industrial Internet of Things
3.2 Critical Focal Areas for IIoT Execution
3.3 IIoT Application Areas
3.4 Forming a Foundation for IIoT
3.5 Evaluating the Future Potential of IIoT

4 IIoT Technologies
4.1 Hardware Technologies
4.2 Software Technologies
4.3 IIoT and Manufacturing Execution Systems (MES)
4.4 Network Technologies in IIoT

5 IIoT Global Market Analysis and Forecasts 2017 - 2022
5.1 IIoT Markets by Region 2017 - 2022
5.2 IIoT Global Markets by Products Offered 2017 - 2022
5.3 IIoT Global Markets by Industry Sector 2017 - 2022
5.4 Market for Teleoperation and Tele-robotics in IIoT 2016 - 2021

6 Company Analysis
6.1 AGT International
6.2 ARM Holdings
6.3 AT&T Inc.
6.4 B+B SmartWorx
6.5 Bayshore Networks
6.6 Bosch
6.7 Cisco System Inc.
6.8 Contiki
6.9 Digi International
6.10 Echelon Corporation
6.11 Elecsys Corporation
6.12 General Electric
6.13 Jasper Technologies Inc. (Cisco)
6.14 Lynx Software Technologies, Inc.
6.15 Object Management Group (OMG)
6.16 OneM2M Partners
6.17 ParStream (Cisco)
6.18 RIOT
6.19 Real Time Innovation (RTI)
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 2017 - 2022

1 Overview
1.1 3D Printing and Additive Manufacturing
1.2 Traditional Manufacturing vs. Additive Manufacturing
1.3 3D Printing Process
1.4 Business Benefits of 3D Printing
1.5 3D Printing Market: SWOT Analysis
1.6 3D Printing Investment Trend Analysis
2 3D Printing Market Analysis and Forecasts 2017 to 2022
2.1 Global 3D Printing Market 2017 to 2022
2.2 Regional 3D Printing Market 2017 to 2022
2.3 3D Printer Shipments 2017 to 2022
2.4 3D Printing Raw Materials Supply 2017 to 2022

3 3D Printing Ecosystem and Vendor Analysis
3.1 3D Printing Value Chain and Elements
3.2 Emerging 3D Printing Ecosystem
3.3 3D Printer Pricing Analysis
3.4 Average Industry Order Value and Funding Chart
3.5 Popular Printer Chart: Desktop vs. Industrial Printer and by Regions
3.6 3D Printing Vendor Ecosystem

4 Market Direction and Future of 3D Printing
4.1 Fourth Industrial Revolution: Industry 4.0
4.2 Multi-Material and Cheaper 3D Printer and New Raw Materials
4.3 Wider Accessibility to 3D Modeling
4.4 3D Applications in Everyday Life
4.5 Implications for Enterprise in various Industries


The Big Data Market: Business Case, Market Analysis and Forecasts 2017 - 2022
1 Background
1.1 Introduction
1.2 Scope of the Report
1.3 Target Audience
1.4 Companies in Report

2 Executive Summary
3 Big Data Technology and Business Case
3.1 Defining Big Data
3.2 Key Characteristics of Big Data
3.3 Big Data Technology
3.4 New Paradigms and Techniques
3.5 Big Data Roadmap
3.6 Market Drivers
3.7 Market Barriers

4 Key Sectors for Big Data
4.1 Industrial Internet and Machine-to-Machine
4.2 Retail and Hospitality
4.3 Media
4.4 Utilities
4.5 Financial Services
4.6 Healthcare and Pharmaceutical
4.7 Telecommunications
4.8 Government and Homeland Security
4.9 Other Sectors

5 The Big Data Value Chain
5.1 Fragmentation in the Big Data Value
5.2 Data Acquisitioning & Provisioning
5.3 Data Warehousing & Business Intelligence
5.4 Analytics & Visualization
5.5 Actioning and Business Process Management
5.6 Data Governance

6 Big Data Analytics
6.1 What is Big Data Analytics?
6.2 The Importance of Big Data Analytics
6.3 Reactive vs. Proactive Analytics
6.4 Technology and Implementation Approaches

7 Standardization and Regulatory Initiatives
7.1 Cloud Standards Customer Council
7.2 National Institute of Standards and Technology
7.3 OASIS
7.4 Open Data Foundation
7.5 Open Data Center Alliance
7.6 Cloud Security Alliance
7.7 International Telecommunications Union
7.8 International Organization for Standardization

8 Global Markets and Forecasts for Big Data
8.1 Global Big Data Markets 2017 - 2022
8.2 Regional Markets for Big Data 2017 - 2022
8.3 Big Data Revenue by Product Segment 2017 - 2022

9 Key Players in the Big Data Market
9.1 Vendor Assessment Matrix
9.2 1010Data
9.3 Accenture
9.4 Actian Corporation
9.5 Amazon
9.6 Apache Software Foundation
9.7 APTEAN (Formerly CDC Software)
9.8 Booz Allen Hamilton
9.9 Bosch Software Innovations: Bosch IoT Suite
9.10 Capgemini
9.11 Cisco Systems
9.12 Cloudera
9.13 CRAY Inc.
9.14 Computer Science Corporation (CSC)
9.15 DataDirect Network
9.16 Dell
9.17 Deloitte
9.18 EMC
9.19 Facebook
9.20 Fujitsu
9.21 General Electric (GE)
9.22 GoodData Corporation
9.23 Google
9.24 Guavus
9.25 HP
9.26 Hitachi Data Systems
9.27 Hortonworks
9.28 IBM
9.29 Informatica
9.30 Intel
9.31 Jasper (Cisco Jasper)
9.32 Juniper Networks
9.33 Marklogic
9.34 Microsoft
9.35 MongoDB (Formerly 10Gen)
9.36 MU Sigma
9.37 Netapp
9.38 NTT Data
9.39 Open Text (Actuate Corporation)
9.40 Opera Solutions
9.41 Oracle
9.42 Pentaho
9.43 Qlik Tech
9.44 Quantum
9.45 Rackspace
9.46 Revolution Analytics
9.47 Salesforce
9.48 SAP
9.49 SAS Institute
9.50 Sisense
9.51 Software AG/Terracotta
9.52 Splunk
9.53 Sqrrl
9.54 Supermicro
9.55 Tableau Software
9.56 Tata Consultancy Services
9.57 Teradata
9.58 Think Big Analytics
9.59 TIBCO
9.60 Tidemark Systems
9.61 VMware (Part of EMC)
9.62 Wipro
9.63 Workday (Platfora)
9.64 Zettics

10 Appendix: Big Data Support of Streaming IoT Data

Streaming IoT Data Market Outlook and Forecasts 2017 - 2022

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
3.2 IoT Data Management Operations
3.4 Market Outlook for IoT Data Analytics
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 2017 - 2022
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
5.4 Streaming IoT Data Analytics Revenue by Leading Vendor Platform

6 Appendix
6.1 Regional Streaming IoT Data Analytics Revenue 2017 - 2022
6.2 Streaming IoT Data Analytics Revenue by Country 2017 - 2022


For more information about this report visit http://www.researchandmarkets.com/research/v7hfsx/industrial_iot


                    
                    
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