Global Industrial Convergence Markets 2017-2022: Bundle of 8 Reports Focusing on 5G, AI, Cloud Computing, Data Analytics, IIoT and Robotics

5.10 XMPro
5.11 Siemens AG
5.12 Robert Bosch GmbH
5.13 IBM Corporation
5.14 Microsoft Corporation
5.15 C3IoT
5.16 Meshify
5.17 Sierra Wireless Inc.
5.18 Carriots
5.19 Intel Corporation
5.20 PTC
5.21 Uptake Technologies Inc.
5.22 TempolQ
5.23 Honeywell International
5.24 Enterox Systems
5.25 Aware360 Ltd.
5.26 XILINX Inc.
5.27 Echelon Corporation
5.28 Real Time Innovation
5.29 Fujitsu Ltd.
5.30 Reali Technologies Ltd

6 Conclusions and Recommendations

Cloud Robotics: Technologies, Leading Companies, Solutions, Market Outlook, and Forecasts 2017 - 2022

1 Introduction
1.1 Cloud Robotics Overview
1.2 Traditional vs. Cloud Robotics
1.3 Cloud Robotics Architecture
1.4 Robot Types
1.5 Cloud Technology in Robotics
1.6 AI and Machine Learning Solution
1.7 Connectivity Technology including 5G
1.8 Industrial Automation and Cloud Robotics
1.9 IoT, Industrial IoT and Cloud Robotics
1.10 Collaborative Robots
1.11 Market Challenges and Opportunities

2 Cloud Robotics Ecosystem Analysis
2.1 Market Segmentation
2.2 Ecosystem and Players
2.3 Most Likely Applications
2.4 Anticipated Regional Adoption
2.5 Emerging Cloud Robotics Business Models
2.6 Robotics Production
2.7 Robotics Cost Structure
2.8 Robotics ROI
2.9 Cloud Robotics Intellectual Property
2.10 Research and Development Activities

3 Cloud Robotics Market 2017 - 2022
3.1 Global Market Forecast 2017 - 2022
3.2 Regional Cloud Robotics Market Forecast

4 Company Analysis
4.1 Rockwell Automation Inc.
4.2 KUKA AG
4.3 ABB Group
4.4 FANUC Corporation
4.5 Yaskawa Electric Corporation
4.6 Universal Robots
4.7 Tend.ai
4.8 Rapyuta Robotics Co. Ltd.
4.9 HotBlack Robotics Srl
4.10 Calvary Robotics
4.11 Motion Controls Robotics Inc.
4.12 Wolf Robotics LLC
4.13 Tech-Con Automation Inc.
4.14 Matrix Industrial Automation
4.15 Automation IG
4.16 Ortelio Ltd
4.17 SoftBank Robotics Holding Corp.
4.18 iRobot Corp.
4.19 Google Inc.
4.20 IBM Corporation
4.21 Microsoft Corporation
4.22 Ecovacs Robotics Inc.
4.23 CloudMinds
4.24 Ozobot & Evollve Inc.
4.25 Segway Inc. and Ninebot
4.26 Erle Robotics
4.27 Adept Technology
4.28 Ekso Bionics
4.29 Lockheed Martin
4.30 Mazor Robotics
4.31 Pv-Kraftwerker
4.32 ReconRobotics Inc.
4.33 Seegrid
4.34 Spacex

5 Conclusions and Recommendations

6 Appendix
6.1 Total Robot Shipments
6.2 Robot Shipments by Type
6.3 Robot Shipments by Application Segment
6.4 Robot Shipments by Region

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

Real-time IoT Data in Smart Cities, Buildings, and Homes 2017 - 2022

1 Executive Summary

2 Introduction
2.1 Smart Cities
2.2 Intelligent Buildings
2.3 Connected Homes

3 Real Time IoT Data Analytics in Smart City Market 2017 - 2022
3.1 Global Market
3.2 Market by Type
3.3 Market by Deployment Model
3.4 Market by Sector
3.5 Market by Region

4 Real Time IoT Data Analytics Market in Intelligent Buildings 2017 - 2022
4.1 Global Market
4.2 Market by Type
4.3 Market by Business Model
4.4 Market by End User
4.5 Market by Region

5 Real Time IoT Data Analytics Market in Connected Homes 2017 - 2022
5.1 Global Market
5.2 Market by Type
5.3 Market by Business Model
5.4 Market by Region

6 Conclusions and Recommendations
6.1 Smart Cities
6.2 Intelligent Buildings
6.3 Connected Homes

Robotics in Industrial, Enterprise, Military, and Consumer Products, Services, and Solutions 2017 - 2022

1 Executive Summary

2 Introduction
2.1 Market Segmentation
2.2 Market Overview

3 Robotics Companies and Solutions
3.1 Americas
3.2 Asia-Pacific
3.3 Europe

4 Robotics Market Analysis and Forecasts
4.1 Global Robotics Market 2017 - 2022
4.2 Robotics Market by Segment 2017 - 2022
4.3 Industrial Robotics Market 2017 - 2022
4.4 Consumer Robotics Market 2017 - 2022
4.5 Enterprise Robotics Market 2017 - 2022
4.6 Military and Government Robotics Market 2017 - 2022
4.7 Robot Shipment Forecast 2017 - 2022

5 Conclusions and Recommendations

Internet of Things (IoT) Digital Twinning 2017 - 2022

1 Executive Summary

2 Introduction

2.1 Understanding Digital Twinning
2.2 Important Concepts

3 Supporting Technologies
3.1 Industrial IoT and Industry 4.0
3.2 Pairing Technology
3.3 Cyber Physical Systems
3.4 Augmented, Virtual, and Mixed Reality
3.5 Artificial Intelligence Technologies
3.6 Additive Manufacturing and 3D Printing
3.7 Digital Thread for Additive Manufacturing

4 Digital Twin Product and Service Ecosystem
4.1 Digital Twinning Impact on Industry Segments
4.2 Application Development and Operations
4.3 Digital Twin Use Cases and Applications
4.4 Digital Twinning as a Service (DTaaS)

5 IoT Digital Twinning Market Forecast 2017 - 2022




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