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Industrial Convergence Revolution: Smart Cities, Industry 4.0, Big Data in Manufacturing, and Industrial IoT 2016

  • ID: 3517520
  • Report
  • Region: Global
  • 299 Pages
  • Mind Commerce
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The Internet of Things (IoT) Will Overtake Human Communications Rapidly As there are Vastly More Objects in the World than Humans

FEATURED COMPANIES

  • 1010Data Inc.
  • Actian Corporation
  • Cloudera Inc.
  • Dell Software
  • HP
  • Oracle
  • MORE

Smart Cities, Big Data in Manufacturing, and Industrial Internet of Things (IIoT) represent three key technology areas that are converging and will profoundly transform business and citizen lifestyles at the global level.

Smart Cities are much more than just an effort by sovereign nations to modernize their infrastructure - they are a focal point for growth drivers in several key ICT areas including: M2M/IoT, Connected Devices, Broadband Wireless, Cloud Computing, Big Data and Analytics. Smart City developments are causing many technologies and solutions to integrate with convergence seen across with many resource areas including energy, water, sanitation, and other essential services.

The manufacturing industry is rapidly transforming as technology, competition, and the evolving demands of global consumers dictate the need for continuously improving efficiencies and flexibility. The Internet of Things (IoT) will overtake human communications rapidly as there are vastly more objects in the world than humans, they can communicate much faster, much more frequently, and for many more reasons than humans.

IIoT represents a very important segment, which includes manufacturing, automation, and virtually any process or operation that does not directly involve direct consumer interaction. This research assesses Smart Cities, Big Data in Manufacturing, and Industrial IoT. This report evaluates how Big Data is helping manufacturing sector to design new business models, revamp operational process, and facilitate cost effective supply chain solutions.

We also provide key observations identified during the research, which provides information about perception and expectations of Big Data solutions in manufacturing. The report includes forecasts and quantitative data for Big Data in Manufacturing by sector, segment and region. We also evaluate the technologies, companies, solutions, and market outlook for IIoT. The report evaluates key trends, analyzes market drivers, and provides forecasting for IIoT.

Target Audience:

  • IoT vendors
  • Big Data vendors
  • Manufacturing companies
  • Telecom service providers
  • Telecom equipment providers
  • Global infrastructure suppliers
  • Communications component providers
  • Cloud services and datacenter companies
  • Smartgrid and energy management companies
  • Big data, analytics, and information processing companies
  • Sovereign investment funds, hedge funds and private equity
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FEATURED COMPANIES

  • 1010Data Inc.
  • Actian Corporation
  • Cloudera Inc.
  • Dell Software
  • HP
  • Oracle
  • MORE

Industrie 4.0: Principles, Players, Industry Impact And Outlook

1. Executive Summary

2. Introduction
2.1 What Is Industrie 4.0?
2.2 Why Is It Important?

3. Industrie 4.0 Players
3.1 Government
3.2 Manufacturers
3.3 Internet Of Things (Iot) Companies

4. Industrie 4.0 Outlook
4.1 Adopting Countries
4.2 Companies Supporting
4.3 Anticipated Economic Impact Of Industrie 4.0
4.4 Forecasts

5. Summary And Recommendations

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Smart City Business Drivers, Technologies, Companies, And Solutions: Global Outlook And Forecasts 2015 - 2020

1. Introduction
1.1 Executive Summary
1.2 Target Audience
1.3 Companies In Report

2. Overview Of Smart City And Marketplace
2.1 What Defines A Smart City?
2.1.1 Smart City Vs. Intelligent /Connected / Digital City
2.1.2 Features Of Smart City
2.2 Smart City Vs. Smart Community
2.3 Smart City Approach
2.4 Existing City Vs. New City Trend
2.5 Smart City Components
2.6 Life-Cycle Model For Smart City Services
2.7 Smart City Market Segment

3. Smart City Business Model
3.1 Build Own Operate (Boo)
3.2 Build Operate Transfer (Bot)
3.3 Build Operate Manage (Bom)
3.4 Open Business Model (Obm)

4. Smart City Market: Swot Analysis
4.1 Market Trends
4.1.1 Services In The Age Of Digital Technologies
4.1.2 Software To Big Data
4.1.3 Smart Forecast To Enhanced Services
4.1.4 Workplace Transformation
4.2 Growth Drivers: Strength & Opportunities
4.2.1 Continual Economic Development
4.2.2 Increasing Urban Population Demands Better Infrastructure
4.2.3 Need For Energy Efficient Cities
4.2.4 New Channels For Service Delivery
4.3 Market Challenges: Weakness And Threats

5. Smart City Planning
5.1 Urban Development
5.2 Utilities And Smart Grids
5.3 Telecom Infrastructure
5.4 Smart Community Model
5.4.1 Smart Community Planning
5.4.2 Smart Community Governance
5.4.3 Smart Community Health
5.4.4 Smart Community Citizenship
5.4.5 Smart Community Infrastructure
5.4.6 Smart Community Resources
5.4.7 Smart Community Dwellings
5.5 Civic Gamification

6. Smart City Technologies, Solutions, And Impact
6.1 Machine-To-Machine (M2M)
6.2 Internet Of Things (Iot)
6.2.1 Iot And Addressing
6.2.2 Iot And Communications
6.2.3 Iot And Smart City Applications
6.2.4 Iot Challenges For Smart City
6.2.5 Iot And Use Case Scenerio
6.3 Wide Area Communications Via Cellular
6.4 Metropolitan Area Communications Via Wimax
6.5 Short-Range Communications
6.5.1 Wifi
6.5.2 Radio Frequency Identification (Rfid)
6.6 Technology Solutions And Impact
6.7 Big Data To Create Smart City
6.8 Smac Stack

7. Smart City Impact On Industry Verticals
7.1 Telecom Services
7.1.1 Smart City Services
7.1.2 Benefits To Telecom Operators
7.1.3 Challenges For Telecom Operators
7.2 Energy Management
7.3 Industrial Automation
7.4 Transportation
7.5 Security
7.6 Education

8. Smart City Vendor And Solution Analysis
8.1 Abb
8.1.1 Intelligent Technology For Smart Cities
8.1.2 City Communications Platform
8.1.3 Electricity Grids
8.1.4 Improving The Performance Of Water Plants And Networks
8.1.5 Energy Management
8.1.6 District Heating And Cooling
8.2 Accenture
8.2.1 Smart Grid
8.2.2 Smart Building Solutions
8.2.3 Intelligent Transport
8.2.4 Infrastructure Analytics
8.2.5 Intelligent City Strategy
8.3 Alcatel Lucent
8.3.1 Solutions
8.4 Cisco Systems
8.4.1 Smart Parking
8.4.2 Smart Buildings
8.4.3 Remote Expert
8.4.4 Connected Learning
8.4.5 Smart Work Spaces
8.5 Cubic
8.5.1 Nextcity
8.5.2 Next Contact
8.5.3 Nextinfo
8.6 Honeywell
8.6.1 Ecc
8.6.2 Smart Grid
8.6.3 Auto Demand Response (Auto Dr)
8.7 Ibm
8.7.1 Public Safety Solutions
8.7.2 Smarter Buildings And Urban Planning Solutions
8.7.3 Government And Agency Administration Solutions
8.7.4 Energy And Water Solutions
8.7.5 Environmental Solutions
8.7.6 Transportation Solutions
8.8 Intel
8.8.1 Intel Architecture
8.8.2 Iot And Cyber-Physical System
8.8.3 Sustainability Lens
8.9 Oracle
8.9.1 Smart Innovation
8.9.2 Smart Processes
8.9.3 Smart Infrastructure
8.10 Siemens Ag
8.10.1 Desigo
8.10.2 Smart Grid Suite
8.10.3 Siveillance
8.10.4 Railbam
8.10.5 Trainguard
8.10.6 Sitraffic
8.11 Huawei
8.11.1 Smart Government
8.11.2 Safe City Solution
8.11.3 Smart Hospital Solution
8.11.4 Smart Education Solution
8.11.5 Smart Transport Solution
8.12 Cyan Technology

9. Smart City Project And Regional Analysis
9.1 Europe
9.1.1 Smart City Projects
9.1.2 Spain
9.1.3 Uk
9.2 Asia Pacific (Apac)
9.2.1 Smart City Projects
9.2.2 India
9.2.3 China
9.2.4 South Korea
9.3 North America
9.3.1 Smart City Projects
9.4 Latin America
9.5 Middle East
9.5.1 United Arab Emirates
9.5.2 Saudi Arabia
9.5.3 Qatar
9.6 Africa

10. Smart City Market Forecasts 2015 - 2020
10.1 Global Smart City Cumulative Market 2015 - 2020
10.2 Global Smart City Market By Segment 2015 - 2020
10.2.1 Global Smart City Market Share By Segment 2015 And 2020
10.2.2 Global Smart Home Market 2015 - 2020
10.2.3 Global Smart Grid Market 2015 - 2020
10.2.4 Global Smart Building Market 2015 - 2020
10.2.5 Global Smart Industrial Automation Market 2015 - 2020
10.2.6 Global Smart Energy Management Market 2015 - 2020
10.2.7 Global Smart Governance Market 2015 - 2020
10.2.8 Global Smart Healthcare Market 2015 - 2020
10.2.9 Global Smart Education Market 2015 - 2020
10.2.10 Global Smart Water Management Market 2015 - 2020
10.2.11 Global Smart Waste Management Market 2015 - 2020
10.2.12 Global Smart Transportation Market 2015 - 2020
10.2.13 Global Smart Security Market 2015 - 2020
10.3 Regional Smart City Market 2015 - 2020
10.3.1 Smart City Market Share By Region During 2015 - 2020
10.3.2 Europe Smart City Market 2015 - 2020
10.3.3 Asia Pacific Smart City Market 2015 - 2020
10.3.4 North America Smart City Market 2015 - 2020
10.3.5 Latin America Smart City Market 2015 - 2020
10.3.6 Middle East & Africa Smart City Market 2015 - 2020
10.4 Urbanization And Smart City Investment Projection
10.5 Connected Object & Service Projection 2015 - 2020
10.5.1 World Population Vs. Connected Device Per Person 2003 - 2020
10.5.2 Total Connected Device Projection 2015 - 2020
10.5.3 Connected Devices By Object & Service Segments 2015 - 2020

11. Opportunity Analysis For Telecom Operators
11.1 Smart City As A Service
11.2 Centralized Platfrom
11.3 Smac Stack
11.4 Regulatory Framework

12. Smart City Case Study
12.1 Smart Liaoyuan: The First Smart City In Northeast China
12.2 Beijing Smart Government: The Lucky Cloud Project
12.3 Longyan Smart Hospital: Secure, Efficient And Green
12.4 Karamay: Building The Safest City
12.5 Smart Education For East China Normal University (Ecnu)

13. Conclusions And Recommendations
13.1 Recommended Strategy For Smart City
13.1.1 Consider City Ecosystem
13.1.2 Engage Citizen And Collaboration With Technology
13.1.3 Constituent Collaboration

List of Figures
Figure 1: Smart City Framework
Figure 2: Smart City Participants and Role in Ecosystem
Figure 3: Smart City Wheel: Components and Key Indicators
Figure 4: Smart City Services Life-cycle Model
Figure 5: Smart City Market Segments
Figure 6: Smart City Infrastructure
Figure 7: HetNet Network Topology
Figure 8: WiMAX Point to Point Communications
Figure 9: ABB Smart City Offerings
Figure 10: Accenture Smart City Offerings
Figure 11: Huawei Smart City Solutions
Figure 12: Global Smart City Cumulative Market $ Billion 2015 - 2020
Figure 13: Global Smart City Market Share Percent by Segment 2015
Figure 14: Global Smart City Market Share Percent by Segment 2020
Figure 15: Global Smart Home Market $ Billion 2015 - 2020
Figure 16: Global Smart Grid Market $ Billion 2015 - 2020
Figure 17: Global Smart Building Market $ Billion 2015 - 2020
Figure 18: Global Smart Industrial Automation Market $ Billion 2015 - 2020
Figure 19: Global Smart Energy Management Market $ Billion 2015 - 2020
Figure 20: Global Smart Governance Market $ Billion 2015 - 2020
Figure 21: Global Smart Healthcare Market $ Billion 2015 - 2020
Figure 22: Global Smart Education Market $ Billion 2015 - 2020
Figure 23: Global Smart Water Management Market $ Billion 2015 - 2020
Figure 24: Global Smart Waste Management Market $ Billion 2015 - 2020
Figure 25: Global Smart Transportation Market $ Billion 2015 - 2020
Figure 26: Global Smart Security Market $ Billion 2015 - 2020
Figure 27: Smart City Market Share Europe, Americas, APAC MEA 2015 - 2020
Figure 28: Europe Smart City Market $ Billion 2015 - 2020
Figure 29: Asia Pacific Smart City Market $ Billion 2015 - 2020
Figure 30: North America Smart City Market $ Billion 2015 - 2020
Figure 31: Latin America Smart City Market $ Billion 2015 - 2020
Figure 32: Middle East & Africa Smart City Market $ Billion 2015 - 2020
Figure 33: World Population vs. Connected Device per Person 2003 - 2020
Figure 34: Total Connected Device Projections Billion 2015 - 2020
Figure 35: Connected Devices by Service Segments 2015 - 2020

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Big Data in Manufacturing: Key Trends, Opportunities and Market Forecasts

1 Introduction
1.1 Research Scope
1.2 Research Methodology
1.3 Target Audience
1.4 Companies Mentioned in this Report

2 Summary

3 Overview
3.1 Role of Big Data in Modern Manufacturing
3.2 Big Data and Analytics Framework for Manufacturing
3.2.1 Big Data Infrastructure
3.2.2 Big Data Management
3.2.3 Big Data Integration
3.2.4 Big Data Analysis
3.3 Market Potential for Big Data in Manufacturing will increase through 2020

4 Big Data Solutions in Manufacturing
4.1 Hardware Infrastructure
4.1.1 Servers / Data Computing Appliance
4.1.2 Sensors and Actuators
4.2 Software and Platforms
4.2.1 Big Data Integration Platform
4.2.2 Connectors for Hadoop
4.2.3 Big Data Analytics Platforms and Tools
4.3 Big Data Security Software
4.4 Managed Services for Big Data

5 Global Markets and Forecasts 2015 - 2020
5.1 Industrial Internet of Things to increase scope for Big Data in Manufacturing
5.2 Connected Factory
5.3 Scope for Big Data in IIoT for Manufacturing
5.4 Manufacturing Sector to Generate 11.3 Zettabytes of Data by 2020
5.5 Big Data Market in Manufacturing 2015 - 2020
5.5.1 Big Data in Manufacturing by Region 2015 - 2020
5.5.2 Big Data in Manufacturing by Products/Service Offering 2015 - 2020

6 Company Profiles
6.1 1010Data Inc.
6.2 3Sixty Analytics
6.3 Actian Corporation
6.4 Amazon Web Services
6.5 Bosch Software Innovations GmBH
6.6 Cisco
6.7 Cloudera Inc.
6.8 Cloudwick Inc.
6.9 Computer Sciences Corp. (CSC)
6.10 CRAY Inc.
6.11 Dell Software
6.12 EMC Corporation
6.13 HP
6.14 Hortonworks Inc.
6.15 MongoDB
6.16 Oracle Corporation
6.17 Pivotal Software Inc
6.18 PSSC Labs
6.19 Silicon Graphics International Corp. (SGI)
6.20 Teradata Corporation
6.21 TIBCO JasperSoft

List of Figures
Figure 1: Markets for Big Data in Manufacturing 2015 - 2020
Figure 2: Big Data and Analytics Framework for Manufacturing
Figure 3: IIoT Deployment in Manufacturing 2015 - 2020
Figure 4: Data Generation in Manufacturing 2013 - 2020
Figure 5: Total Big Data Market vs. Big Data in Manufacturing 2015 - 2020
Figure 6: Regional Markets for Big Data in Manufacturing 2015 - 2020
Figure 7: Big Data in Manufacturing by Products / Services 2015 - 2020

List of Tables
Table 1: Market for Big Data in Manufacturing 2015 - 2020
Table 2: Key Trends in Big Data in Manufacturing
Table 3: Tips for Manufacturers on Big Data Investments
Table 4: Servers and Data Computing Appliances offered by various Companies
Table 5: Data Integration Solutions offered by Various Companies
Table 6: Data Connectors offered by Various Companies
Table 7: Analytics Platform offered by Various Companies
Table 8: Big Data Security Software offered by Various Companies
Table 9: Big Data Managed Services offered by Various Companies
Table 10: IIoT Deployment in Manufacturing
Table 11: Data Generation in Manufacturing 2013 - 2020
Table 12: Global Markets for Big Data in Manufacturing 2015 - 2020
Table 13: Regional Markets for Big Data in Manufacturing 2015 - 2020
Table 14: Big Data in Manufacturing by Products / Services 2015 - 2020

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Industrial Internet of Things (IIoT): Key Trends, Opportunities and Market Forecasts

1 Introduction
1.1 Scope of the Study
1.2 Intended Audience
1.3 Companies Covered in Report

2 Executive Summary

3 Industrial Internet of Things (IIoT)
3.1 IIoT: The Fourth Industry Revolution
3.1.1 IIoT is a Change Agent in Transforming Ordinary Factory to Smart Factory
3.1.2 Connected Factory
3.1.3 Industry (Industrie)
3.2 Main Objective of IIoT is an Integration of Connected Things
3.3 Opportunity to Develop Agile and Flexible Production Processes
3.4 IIoT Market Overview 2014 - 2015
3.4.1 GE, Cisco, Intel, AT&T and IBM Founded Industrial Internet Consortium (IIC)
3.4.2 Cisco hosted The Second Annual Internet of Things World Forum (IoTWF)
3.4.3 IIC launched Test-beds
3.4.4 IIC to on Broad Reference Architecture for IoT soon in 2015
3.5 IIoT will Enhance, Integrate and Scale existing Corporate IT Systems
3.6 IIoT will Leverage Potential of Existing Infrastructure based on Extracted Data

4 Key IIoT Solutions
4.1 AT&T Inc.
4.1.1 AT&T Machine to Machine Solutions
4.1.2 AT&T M2X
4.2 Bosch
4.2.1 Bosch Connected Devices and Solutions GmbH (BCDS)
4.2.2 Bosch Software innovations: Bosch IoT Suite
4.3 Cisco System Inc.
4.3.1 Cisco Industrial Networks
4.3.2 Cisco Embedded Networks
4.3.3 Management and Application Enablement
4.3.4 Physical and Cyber Security
4.3.5 Cisco IIoT Solutions
4.4 Echelon Corporation
4.4.1 Echelon's IzoT platform
4.5 GE Software
4.5.1 GE Predicitvity Solution
4.5.2 GE Predix Platform
4.6 Object Management Group (OMG)
4.6.1 Data Distribution Service (DDS)
4.6.2 Dependability Assurance Framework for Safety-Sensitive Consumer Devices
4.6.3 Threat Modelling
4.6.4 Structured Assurance Case Meta-model (SACM)
4.6.5 Unified Component Model for Distributed, Real-Time and Embedded Systems (UCM)
4.6.6 Automated Source Code CWE-SANS Top 25-Based Security Measure
4.6.7 Oil and Gas Risk Management

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  • 1010Data Inc.
  • 3Sixty Analytics
  • ABB
  • Accenture
  • Actian Corporation
  • Alcatel Lucent
  • Amazon Web Services
  • Bosch Software Innovations GmBH
  • Cisco
  • Cloudera Inc.
  • Cloudwick Inc.
  • Computer Sciences Corp. (CSC)
  • CRAY Inc.
  • Cubic
  • Dell Software
  • EMC Corporation
  • Honeywell
  • Hortonworks Inc.
  • HP
  • IBM
  • Intel
  • MongoDB
  • Oracle
  • Oracle Corporation
  • Pivotal Software Inc
  • PSSC Labs
  • Siemens AG
  • Silicon Graphics International Corp. (SGI)
  • Teradata Corporation
  • TIBCO JasperSoft
Note: Product cover images may vary from those shown
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Note: Product cover images may vary from those shown
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