Industrial Convergence: 5G, Industrial IoT, Smart Infrastructure, Big Data, IoT Data Management and Analytics 2016 - 2021




Published: November 2016   Pages: 897
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Overview: 

Convergent technologies in the areas of 5G, Industrial IoT, Smart Infrastructure, Unstructured (Big) Data, IoT Data and Analytics are poised to transform everything from manufacturing to enterprise automation. The benefits to business and society as a whole are manifold including greater efficiencies, new and improved products and services, and greater flexibility such as products as a service.

Leveraging process automation and industrial data will provide analytics and intelligence, manifest at the retail level as smart products and services that transform lifestyles.  Mind Commerce also sees a coming substantial impact on business supply chains as product life cycle management is transformed by way of evolving IoT and Industry 4.0 technologies, processes, and procedures.

This research provides the most comprehensive evaluation available of the technologies, current market, and future prospects for 5G, Industrial IoT, Smart Infrastructure, Big Data, IoT Data Management and Analytics. It includes an assessment of challenges and opportunities, key players and solutions, and market forecasts for the period 2016 to 2021. This research package includes reports in the following industrial convergence areas:

Industrial IoT and 5G: Emerging Technologies, Solutions, Market Outlook and Forecasts 

Industrial Internet of Things (IIoT): Market Opportunities for Solutions, Products, and Services 2016 – 2021 

IoT in Smart Infrastructure, Cities, and Buildings: Market Analysis and Forecasts 2016 – 2021 

The Big Data Market: Business Case, Market Analysis & Forecasts 2016 – 2021 

IoT Data Management and Analytics Market Outlook & Forecasts 2016 – 2021 

Sensors and Intelligent End-point Devices in IoT: Market Analysis and Forecast 2016 – 2021

Bonus: Corporate Licenses will also receive 5G Market Assessment: Vendor Strategies, Technology and Infrastructure Outlook and Application Forecasts 2016 - 2025

All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

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

Report Benefits:

  • Forecasts for all convergent areas 2016 to 2021
  • Identify leading companies and solutions in each area
  • Learn how technologies interact and depend upon one another
  • Identity market challenges and opportunities for apps and services
  • Understand how efficiency improvements and enhancements impact business

Table of Contents:

Industrial IoT and 5G: Emerging Technologies, Solutions, Market Outlook and Forecasts

1 Introduction
1.1 Why Industrial IoT and 5G?
1.2 Industrial IoT Platforms
1.3 Relationship between Industrial IoT and 5G
1.4 Industrial IoT: A View into the Period 2016 to 2020
1.5 5G as Key Enabler for IIoT Initiatives
1.6 5G Responsiveness to IIoT
1.7 Potential Contribution of Proprietary Platform
1.8 5G and Industrial Automation
1.9 5G to Enable Wireless IIoT Automation
1.10 5G for Industrial Internet Components
1.11 Role of Industrial Internet in IIoT Automation
1.12 Role of Mobile Edge Computing in IIoT and 5G
1.13 Role of Smart Grid in IIoT and 5G
1.14 Role of LPWAN Technology to IIoT
1.15 5G to Create News Business Model for IIoT
1.16 IIoT Security
1.17 IIoT and 5G: Where is the Money?
1.18 Virtual Reality, IIoT, and 5G
1.19 IIoT 5G Stakeholder Analysis
1.19.1 Equipment Manufacturer
1.19.2 Connectivity Solution Providers
1.19.3 Proprietary Platform and IIoT Application Providers
1.19.4 Data Analytics Providers
1.19.5 Professional Service Providers
1.19.6 Enterprise
1.19.7 End Users
2 IIoT 5G Application Scenarios
2.1 Maritime Use Case
2.1.1 Optimizing Route
2.1.2 Tracking Assets
2.1.3 Monitoring Equipment Remotely and Saving Costs
2.2 Oil and Gas Sector
2.3 Manufacturing Use Case
2.4 Mobile Cloud Robotics
2.5 Precision Agriculture
2.5.1 OnFarm Solution
2.5.2 AT&T, Telefonica, and Verizon to Precision Agriculture
2.6 City Waste Management
2.6.1 Urbiotica Case
2.6.2 Enevo
2.7 Food Waste Management
2.7.1 Maersk Line Remote Container Management
2.8 Smart Buildings
2.8.1 Honeywell Intelligent System to Olympics Stadium
2.9 Road Congestion Management
2.10 Efficient Energy Management
2.11 Enterprise Asset Management
2.12 Healthcare Applications
2.13 Shipping Automation
2.14 Autonomous Driving
2.15 Water Management
2.16 Aviation Management
3 IIoT 5G Market Forecasts
3.1 Global Forecasts 2020 – 2025
3.1.1 IIoT 5G Automation Market Value
3.1.1.1 Market by Segment
3.1.1.1.1 Hardware & Equipment Market by Types of Device
3.1.1.2 Market by Industry Verticals
3.1.1.3 Market by Technology Application
3.1.2 Wireless IIoT 5G Device Deployments
3.1.2.1 Deployment by Device Type
3.1.2.2 Deployment by Industry Vertical
3.2 Regional Forecasts 2020 – 2025
3.2.1 Market Value by Region
3.2.2 Market Value by Leading Countries
3.2.3 Deployment by Region
3.2.4 Deployment by Leading Countries
3.2.5 Europe Market Forecasts
3.2.5.1 Market Value by Segment, Devices, Industry Vertical, & Technology Application
3.2.5.2 Deployment Base by Devices & Industry Vertical
3.2.6 North America Market Forecasts
3.2.6.1 Market Value by Segment, Devices, Industry Vertical & Technology Application
3.2.6.2 Deployment Base by Devices & Industry Vertical
3.2.7 APAC Market Forecasts
3.2.7.1 Market Value by Segment, Devices, Industry Vertical & Technology Application
3.2.7.2 Deployment Base by Devices & Industry Vertical
4 Industrial IoT 5G Platforms, Solutions, and Initiatives
4.1 Time Sensitive Networking
4.2 General Electric
4.2.1 GE Predix
4.2.2 GE Predictivity
4.2.3 GE Partnership
4.2.3.1 Microsoft and GE
4.2.3.2 AT&T and GE
4.2.3.3 Cisco and GE Energy
4.2.3.4 Intel and GE
4.2.3.5 NTT DoCoMo and GE
4.2.3.6 HP and GE
4.2.3.7 BP and GE Oil & Gas
4.2.3.8 Paradigm and GE Oil & Gas
4.3 Qualcomm
4.3.1 LTE IoT Connectivity Platform creating Path for 5G
4.3.2 LTE Modem Solutions
4.4 Aware360
4.4.1 Real Time Monitoring Solution
4.4.2 Aware360 with Gemalto for IIoT Connectivity & Analytics
4.5 KAA
4.6 XILINX
4.6.1 Xilinx to Collaborate IIC for Common IIoT Framework
4.7 AT&T
4.7.1 AT&T M2M Solution
4.7.1.1 AT&T alliance with GE
4.7.2 AT&T M2X Solution
4.7.3 AT&T vEPC Network and Domain 2.0
4.7.4 AT&T 5G Trial and IIoT
4.8 Bosch
4.8.1 Bosch IoT Suit
4.8.2 Bosch IoT Cloud
4.8.3 Bosch Connected Devices and Solutions GmbH (BCDS)
4.9 Cisco System
4.9.1 Cisco IoT System
4.9.2 Cisco Industrial Networking Solutions for IoT
4.9.3 Cisco Embedded Networking Solution
4.9.4 Cisco Security Solution
4.9.5 Application Enablement Platform
4.9.6 Cisco IoT Analytics
4.9.7 Cisco Fog Computing
4.9.8 Cisco’s Acquisition of Jasper
4.10 Echelon Corporation
4.10.1 Echelon IzoT Platform
4.10.1.1 IzoT Enabled FT 6050 Chip
4.10.2 Industrial Control Networking Technologies
4.10.3 Xicato Demonstrate Intelligent Platform with Echelon
4.11 Object Management Group
4.11.1 OMG Data Distribution Service
4.11.2 Dependability Assurance Framework for Safety-Sensitive Consumer Devices
4.11.3 Threat Modeling
4.11.4 Structured Assurance Case Metamodel
4.11.5 Unified Component Model for Distributed, Real-Time and Embedded Systems
4.11.6 Automated Quality Characteristic Measures
4.11.7 Interaction Flow Modeling Language
4.11.8 OMG to Manage the Industrial Internet Consortium
4.11.9 Automated Source Code Based Security Measure
4.11.10 Oil and Gas Risk Management
4.12 Real Time Innovation
4.12.1 RTI Connext DDS
4.12.2 RTI IoT FastTrax Program
4.12.3 RTI to Support IIC Connected Care Testbed
4.12.4 RTI Alliance with National Instruments
4.13 Google
4.13.1 Brillo and Weave
4.13.2 Google Cloud Platform
4.13.3 Google Glass in Telemedicine with CrowdOptic
4.14 Omron Corporation
4.15 BlackBerry
4.15.1 BlackBerry IoT Platform
4.15.1.1 QNX Software
4.16 Rockwell Automation
4.17 Honeywell International
4.17.1 Honeywell Process Solution
4.17.2 Honeywell Uniformance IIoT Suite
4.18 Fujitsu America
4.18.1 GR AWARE Platform
4.18.2 iMotion Edgeware Platform
4.18.3 GYUHO SaaS
4.18.4 UBIQUITOUSWARE Device
4.18.5 CRATUS and Fujitsu
4.18.6 Fujitsu Connected Enterprise Solution with SAP
5 Conclusions and Recommendations
5.1 Success Factors for IIoT in 5G
5.1.1 Complex Ecosystem Management
5.1.2 Accuracy in Analysis and Quantification
5.1.3 Spectrum Management
5.1.4 Building Data Trust

Figures

Figure 1: IIoT Platform Components
Figure 2: IIoT 5G Requirements and Operational Diagram
Figure 3: Requirements for Wireless IIoT Access Technology
Figure 4: IIoT Technology to Optimize Route
Figure 5: Mobile Cloud Robotics Functional Architecture
Figure 6: Precision Agriculture Module to Monitor Water Flow
Figure 7: OnFarm Dashboard for Precision Agriculture Analytics
Figure 8: Honeywell Intelligent System for Building
Figure 9: Vehicle to Everything (V2X) Framework for Autonomous Driving
Figure 10: Global IIoT 5G Automation Market Value 2020 – 2025
Figure 11: Global Wireless IIoT 5G Device Deployment Base 2020 - 2025
Figure 12: KAA IIoT Middle Platform
Figure 13: Bosch IoT Framework
Figure 14: Bosch IoT Cloud Service Parameter and Modality
Figure 15: Cisco IoT Service Portfolio
Figure 16: Echelon FT 6050 Running on IzoT Platform
Figure 17: OMG DDS Scalable Architecture: Edge to Fog to Cloud
Figure 18: Google Cloud Platform Architecture
Figure 19: Fujitsu Connected Enterprise Solution Phases

Tables

Table 1: IIoT Platform Sub-Components
Table 2: Global IIoT 5G Automation Market by Segment 2020 – 2025
Table 3: Global IIoT 5G Hardware & Equipment Market by Types of Device 2020 – 2025
Table 4: Global IIoT 5G Automation Market by Industry Vertical 2020 – 2025
Table 5: Global IIoT 5G Automation Market by Technology Application 2020 – 2025
Table 6: Global Wireless IIoT 5G Device Deployment by Types of Device 2020 – 2025
Table 7: Global Wireless IIoT 5G Device Deployment by Industry Vertical 2020 – 2025
Table 8: IIoT 5G Automation Market by Region 2020 – 2025
Table 9: IIoT 5G Automation Market by Leading Countries 2020 – 2025
Table 10: Wireless IIoT 5G Device Deployment by Region 2020 – 2025
Table 11: Wireless IIoT 5G Device Deployment by Leading Countries 2020 – 2025
Table 12: Europe IIoT 5G Automation Market by Segment 2020 – 2025
Table 13: Europe IIoT 5G Hardware & Equipment Market by Types of Device 2020 – 2025
Table 14: Europe IIoT 5G Automation Market by Industry Vertical 2020 – 2025
Table 15: Europe IIoT 5G Automation Market by Technology Application 2020 – 2025
Table 16: Europe Wireless IIoT 5G Deployment by Device Type 2020 – 2025
Table 17: Europe Wireless IIoT 5G Device Deployment by Industry Vertical 2020 – 2025
Table 18: North America IIoT 5G Automation Market by Segment 2020 – 2025
Table 19: North America IIoT 5G Hardware & Equipment Market by Types of Device 2020 – 2025
Table 20: North America IIoT 5G Automation Market by Industry Vertical 2020 – 2025
Table 21: North America IIoT 5G Automation Market by Technology Application 2020 – 2025
Table 22: North America Wireless IIoT 5G Deployment by Device Type 2020 – 2025
Table 23: North America Wireless IIoT 5G Device Deployment by Industry Vertical 2020 – 2025
Table 24: APAC IIoT 5G Automation Market by Segment 2020 – 2025
Table 25: APAC IIoT 5G Hardware & Equipment Market by Device Type 2020 – 2025
Table 26: APAC IIoT 5G Automation Market by Industry Vertical 2020 – 2025
Table 27: APAC IIoT 5G Automation Market by Technology Application 2020 – 2025
Table 28: APAC Wireless IIoT 5G Device Deployment by Device Type 2020 – 2025
Table 29: APAC Wireless IIoT 5G Device Deployment by Industry Vertical 2020 – 2025

Industrial Internet of Things (IIoT): Market Opportunities for Solutions, Products, and Services 2016 – 2021

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
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 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
4.3 Network Technologies in IIoT
4.3.1 Wireless Local Area Network
4.3.2 Wireless Personal Area Network
4.3.3 Wireless Sensor Network
5 IIoT Global Market Analysis and Forecasts 2016 - 2021
5.1 IIoT Markets by Region 2015 - 2020
5.2 IIoT Global Markets by Industry Sector 2016 - 2021
5.2.1 IIoT Deployments in Manufacturing Sector 2016 – 2021
5.2.2 Healthcare Investments in IIoT 2016 - 2021
5.2.3 Oil and Gas Industry Investments in IIoT 2016 - 2021
5.2.4 Investments in IIoT by Cargo and Logistic Sector 2016 – 2021
5.2.5 IIoT business in Utilities Sector 2016 – 2021
5.3 Global Markets by IIoT Product Vertical 2016 - 2021
5.4 Market for Teleoperation and Tele-robotics in IIoT 2016 - 2021
5.4.1 IIoT Teleoperation and Tele-robotics Solutions by Segment 2016 – 2021
5.4.2 IIoT Teleoperation and Tele-robotics Solutions by Region 2016 – 2021
5.4.3 IIoT Teleoperation and Tele-robotics Solutions by Tech and App 2016 – 2021
5.4.4 IIoT Teleoperation and Tele-robotics Solution by Industry Vertical 2016 – 2021
5.4.5 Artificial Intelligence in IIoT Teleoperation and Tele-robotics Solutions 2016 – 2021
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 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
6.15.6 Automated Source Code CWE-SANS Top 25-Based Security Measure
6.15.7 Oil and Gas Risk Management
6.16 OneM2M Partners
6.17 ParStream (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.

Figures

FIGURE 1: IIoT Impact on Automation and Processes
FIGURE 2: Four Pillars of IIoT Execution
FIGURE 3: IoT Framework
FIGURE 4: 5G and IIoT
FIGURE 5: Requirements for Wireless IIoT Access Technology
FIGURE 6: Hardware Systems used in IIoT
FIGURE 7: Software Solutions used in IIoT
FIGURE 8: Smart Sensor Components
FIGURE 9: Smart Sensor Model
FIGURE 10: Smart Sensor Model with Functional Partitioning
FIGURE 11: IoT Data Processing Flow
FIGURE 12: Sensor Node Components
FIGURE 13: Wireless Sensor Network Topologies
FIGURE 14: Global IIoT Market 2016 – 2021
FIGURE 15: IIoT Regional Markets 2016 – 2021
FIGURE 16: IIoT Global Markets by Industry Sector 2016 -2021
FIGURE 17: IIoT Deployments in Manufacturing Sector 2016 – 2021
FIGURE 18: IIoT Deployments in Healthcare Sector 2016 – 2021
FIGURE 19: IIoT Deployments in Oil and Gas Sector 2016 – 2021
FIGURE 20: IIoT Deployments in Cargo and Logistics Sector 2016 – 2021
FIGURE 21: IIoT Deployments in Utilities Sector 2016 – 2021
FIGURE 22: IIoT Global Markets by Product Vertical 2016 - 2021
FIGURE 23: Embedded Systems and IIoT
FIGURE 24: Managing Devices, Processes, and End-users in IIoT
FIGURE 25: IIoT Management Platform: Cloud, Connectivity, and Devices
FIGURE 26: Fourth Generation Automation Software

Tables

TABLE 1: Leading Proprietary RTOS in Embedded Systems
TABLE 2: Global IIoT Market 2016 – 2021
TABLE 3: IIoT Regional Markets 2016 - 2021
TABLE 4: IIoT Global Markets for Industry Segment 2016 – 2021
TABLE 5: IIoT Deployments in Manufacturing Sector 2016 – 2021
TABLE 6: IIoT Deployments in Healthcare Sector 2016 – 2021
TABLE 7: IIoT Deployments in Oil and Gas Sector 2016 – 2021
TABLE 8: IIoT Deployments in Cargo and Logistics Sector 2016 – 2021
TABLE 9: IIoT Deployments in Utility Sector 2016 – 2021
TABLE 10: IIoT Global Markets by Product Vertical 2016 – 2021
TABLE 11: Teleoperation and Tele-robotics Solution by Segment 2016 – 2021
TABLE 12: Teleoperation and Tele-robotics Solution Market by Region 2016 – 2021
TABLE 13: Teleoperation and Tele-robotics by Sector/Tech/App 2016 – 2021
TABLE 14: Teleoperation and Tele-robotics Solution by Industry Vertical 2016 – 2021
TABLE 15: AI in Teleoperation and Tele-robotics Software Market 2016 – 2021

IoT in Smart Infrastructure, Cities, and Buildings: Market Analysis and Forecasts 2016 – 2021

1 Introduction
1.1 Target Audience
1.2 Companies in Report
2 Executive Summary
3 Overview
3.1 Why Smart and Why IoT
3.2 Smart Infrastructure, Cities, and Buildings
3.2.1 Smart Infrastructure
3.2.2 Smart Transportation
3.3 Automation and Data from Smart Assets to Drive Need for Devices
3.4 Smart Infrastructure, Cities, and Buildings IoT Applications
3.4.1 Smart City Applications
3.4.1.1 Growth of Devices in Smart Cities 2016 – 2021
3.4.2 Smart Home Applications
3.4.2.1 Growth of Devices in Smart Homes 2016 – 2021
3.4.3 Smart Building / Office
3.4.3.1 Smart Building Components
3.4.3.2 Global Connected Devices in Smart Buildings 2016 – 2021
3.4.4 Smart Factories
3.4.4.1 Global Connected Devices in Smart Factories 2016 – 2021
3.4.5 Smart Industries
3.4.5.1 Smart Utilities
3.4.5.2 Smart Tracking
3.4.5.3 Smart Instrumentation in Oil and Gas Industry
3.4.5.4 Smart Healthcare
3.4.5.5 Devices Connected in Smart Industries 2016 – 2021
3.5 Connected Devices by Region 2016 – 2021
4 IoT Opportunities in Smart Infrastructure, Cities, and Buildings
4.1 Business and Consumer need for Optimal User Experience
4.1.1 Lightweight and Smart Sensors
4.1.2 Agile, Ready-to-Deploy, Cloud-based IoT Platforms
4.1.3 Responsive and Collaborative Applications
4.1.4 Responding Security Frameworks
4.2 Solution Developments for Smart Infrastructure, Cities, and Buildings
4.3 Development of Lightweight Smart Sensors
4.3.1 Development of Smart Sensors 2016 – 2021
4.3.2 B+B Networks Wireless Sensing Platform
4.3.3 Bosch MEMS Sensors
4.3.4 Digi’s Xbee Real-time Sensors
4.4 Development of Hardware and Software IoT Platforms
4.4.1 Hardware and Software IoT Platforms 2016 – 2021
4.4.2 IoT Hardware Platforms
4.4.2.1 ARM mBED IoT Device Platform
4.4.2.2 Echelon’s IzoT Platform
4.4.3 IoT Software Platforms
4.4.3.1 Aeris Cloud based Platform for Building Applications
4.4.3.2 AT&T M2M Application Platform
4.4.3.3 Ayla Cloud based Enterprise Grade Platform
4.4.3.4 Development Platform by IIC
4.4.3.5 Jasper Control Venter Platform
4.4.3.6 MachineShop API based Platform
4.4.3.7 Wind River VXworx 7
4.5 An Emerging Range of IoT Applications
4.5.1 Smart Infrastructure, Cities, and Building IoT Applications 2016 – 2021
4.6 Development of New Interoperable Protocols
4.6.1 Insteon
4.6.2 Thread
4.6.3 Zigbee
4.6.4 Z-Wave Alliance
4.7 Security Needs for Devices Connected
4.7.1 Solutions to Secure Mobile Device and Mobile Applications
4.7.2 IoT Security Solutions 2016 – 2021
4.7.3 ARM TrustZone Technology
4.7.4 Cisco Security Solutions for IoT
4.7.5 Intel Security Group (McAfee)
4.7.6 Symantec End- to-End Security Solution

Figures

FIGURE 1: Smart Infrastructure, Cities, and Building Objectives
FIGURE 2: Smart Infrastructure Ecosystem and Vendor/Service Providers
FIGURE 3: Global Connected Devices 2016 - 2021
FIGURE 4: Connected Devices by Industry Segment 2016 - 2021
FIGURE 5: Smart Infrastructure Segments
FIGURE 6: Connected Devices in Smart Cities 2016 - 2021
FIGURE 7: Connected Devices in Smart Homes 2016 - 2021
FIGURE 8: Connected Devices in Smart Buildings 2016 - 2021
FIGURE 9: Connected Devices in Smart Factories 2016 - 2021
FIGURE 10: Connected Devices in Smart Industries 2016 - 2021
FIGURE 11: Connected Devices in Smart Industries by Region 2016 - 2021
FIGURE 12: Revenue by Solution Segment 2016 – 2021
FIGURE 13: Smart Sensors 2016 – 2021
FIGURE 14: Hardware and Software IoT Platforms 2016 – 2021
FIGURE 15: IoT Platform Functionality
FIGURE 16: Smart Infrastructure, Cities, and Building IoT 2016 – 2021
FIGURE 17: Security Solutions 2016 – 2021

Tables

TABLE 1: Global Connected Devices 2016 - 2021
TABLE 2: Connected Devices by Industry Segment 2016 - 2021
TABLE 3: Connected Devices in Smart Cities 2016 - 2021
TABLE 4: Connected Devices in Smart Homes 2016 - 2021
TABLE 5: Connected Devices in Smart Buildings 2016 - 2021
TABLE 6: Connected Devices in Smart Factories 2016 - 2021
TABLE 7: Connected Devices in Smart Industries 2016 - 2021
TABLE 8: Connected Devices in Smart Industries by Region 2016 - 2021
TABLE 9: Revenue by Solution Segment 2016 – 2021
TABLE 10: Smart Sensors 2016 – 2021
TABLE 11: Hardware and Software IoT Platforms 2016 – 2021
TABLE 12: Smart Infrastructure, Cities, and Building IoT Apps 2016 – 2021
TABLE 13: Security Solutions 2016 – 2021

The Big Data Market: Business Case, Market Analysis & Forecasts 2016 – 2021

1 Background of the Study
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
3.2.1 Volume
3.2.2 Variety
3.2.3 Velocity
3.2.4 Variability
3.2.5 Complexity
3.3 Big Data Technology
3.3.1 Hadoop
3.3.1.1 Other Apache Projects
3.3.2 NoSQL
3.3.2.1 Hbase
3.3.2.2 Cassandra
3.3.2.3 Mongo DB
3.3.2.4 Riak
3.3.2.5 CouchDB
3.3.3 MPP Databases
3.3.4 Other Emerging Technologies
3.3.4.1 Storm
3.3.4.2 Drill
3.3.4.3 Dremel
3.3.4.4 SAP HANA
3.3.4.5 Gremlin & Giraph
3.4 New Paradigms and Techniques
3.4.1 Streaming Analytics
3.4.2 Cloud Technology
3.4.3 Google Search
3.4.4 Customize Analytical Tools
3.4.5 Internet Keywords
3.4.6 Gamification
3.5 Big Data Roadmap
3.6 Market Drivers
3.6.1 Data Volume & Variety
3.6.2 Increasing Adoption of Big Data by Enterprises and Telecom
3.6.3 Maturation of Big Data Software
3.6.4 Continued Investments in Big Data by Web Giants
3.6.5 Business Drivers
3.7 Market Barriers
3.7.1 Privacy and Security: The ‘Big’ Barrier
3.7.2 Workforce Re-skilling and Organizational Resistance
3.7.3 Lack of Clear Big Data Strategies
3.7.4 Technical Challenges: Scalability & Maintenance
3.7.5 Big Data Development Expertise
4 Key Investment Sectors for Big Data
4.1 Industrial Internet and Machine-to-Machine
4.1.1 Big Data in M2M
4.1.2 Vertical Opportunities
4.2 Retail and Hospitality
4.2.1 Improving Accuracy of Forecasts & Stock Management
4.2.2 Determining Buying Patterns
4.2.3 Hospitality Use Cases
4.2.4 Personalized Marketing
4.3 Media
4.3.1 Social Media
4.3.2 Social Gaming Analytics
4.3.3 Usage of Social Media Analytics by Other Verticals
4.3.4 Internet Keyword Search
4.4 Utilities
4.4.1 Analysis of Operational Data
4.4.2 Application Areas for the Future
4.5 Financial Services
4.5.1 Fraud Analysis, Mitigation & Risk Profiling
4.5.2 Merchant-Funded Reward Programs
4.5.3 Customer Segmentation
4.5.4 Customer Retention & Personalized Product Offering
4.5.5 Insurance Companies
4.6 Healthcare and Pharmaceutical
4.6.1 Drug Development
4.6.2 Medical Data Analytics
4.6.3 Case Study: Identifying Heartbeat Patterns
4.7 Telecommunications
4.7.1 Telco Analytics: Customer/Usage Profiling and Service Optimization
4.7.2 Big Data Analytic Tools
4.7.3 Speech Analytics
4.7.4 New Products and Services
4.8 Government and Homeland Security
4.8.1 Big Data Research
4.8.2 Statistical Analysis
4.8.3 Language Translation
4.8.4 Developing New Applications for the Public
4.8.5 Tracking Crime
4.8.6 Intelligence Gathering
4.8.7 Fraud Detection & Revenue Generation
4.9 Other Sectors
4.9.1 Aviation
4.9.2 Transportation & Logistics: Optimizing Fleet Usage
4.9.3 Sports: Real-Time Processing of Statistics
4.9.4 Education
4.9.5 Manufacturing
5 The Big Data Value Chain
5.1 How Fragmented is the Big Data Value Chain?
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
6.4.1 Grid Computing
6.4.2 In-Database processing
6.4.3 In-Memory Analytics
6.4.4 Data Mining
6.4.5 Predictive Analytics
6.4.6 Natural Language Processing
6.4.7 Text Analytics
6.4.8 Visual Analytics
6.4.9 Association Rule Learning
6.4.10 Classification Tree Analysis
6.4.11 Machine Learning
6.4.12 Neural Networks
6.4.13 Multilayer Perceptron
6.4.14 Radial Basis Functions
6.4.14.1 Support Vector Machines
6.4.14.2 Naïve Bayes
6.4.14.3 K-nearest Neighbors
6.4.15 Geospatial Predictive Modelling
6.4.16 Regression Analysis
6.4.17 Social Network Analysis
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 2016 – 2021
8.2 Regional Markets for Big Data 2016 – 2021
8.3 Big Data Revenue by Product Segment 2016 – 2021
8.3.1 Investments in Database Management Systems
8.3.2 Investments in Big Data Integration Tools
8.3.3 Investments in Application Infrastructure and Middleware
8.3.4 Investments in Business Intelligence Tools and Analytics Platforms
8.3.5 Big Data Investments in Professional Services 2016 – 2021
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
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
9.15 DataDirect Network
9.16 Dell
9.17 Deloitte
9.18 EMC
9.19 Facebook
9.20 Fujitsu
9.21 General Electric
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)
9.32 Juniper Networks
9.33 Marklogic
9.34 Microsoft
9.35 MongoDB
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 (EMC)
9.62 Wipro
9.63 Workday (Platfora)
9.64 Zettics

Figures

Figure 1: Key Characteristics of Big Data
Figure 2: NoSQL vs Legacy DB Performance Comparisons
Figure 3: Roadmap Big Data Technologies 2016 - 2030
Figure 4: The Big Data Value Chain
Figure 5: Big Data Value Flow
Figure 6: Big Data Analytics
Figure 7: Global Big Data Markets 2016 – 2021
Figure 8: Regional Big Data Markets 2016 – 2021
Figure 9: Investments in Database Management Systems 2016 – 2021
Figure 10: Investments in Data Integration and Quality Tools 2016 – 2021
Figure 11: Investments in Application Infrastructure and Middleware 2016 – 2021
Figure 12: Investments in Business Intelligence Tools and Analytics Platforms 2016 – 2021
Figure 13: Big Data Investments in Professional Services 2016 – 2021
Figure 14: Big Data Vendor Ranking Matrix

Tables

Table 1: Global Big Data Markets 2016 – 2021
Table 2: Regional Big Data Markets 2016 – 2021
Table 3: Big Data Markets by Product Segments 2016 – 2021
Table 4: Investments in Database Management Systems 2016 – 2021
Table 5: Investments in Data Integration Tools 2016 – 2021
Table 6: Investments in Application Infrastructure and Middleware 2016 – 2021
Table 7: Investments in Business Intelligence Tools and Analytics Platforms 2016 – 2021
Table 8: Big Data Investments in Professional Services 2016 – 2021
Table 9: Big Data Analytics Platforms by Company

IoT Data Management and Analytics Market Outlook & Forecasts 2016 – 2021

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 IoT Data in the Emerging Data Economy
3.1.1 IoT Data Strategy
3.1.2 IoT and the Analytics of Things
3.1.3 Specific Strategic Considerations
3.1.3.1 Focus on Data Tiers
3.1.3.2 Maintain a Value-based Approach
3.1.3.3 Foster an Open Development Environment
3.2 Understanding IoT Data
3.2.1 IoT Data vs. other Unstructured Data
3.2.2 Key IoT Data Characteristics
3.2.2.1 IoT Data is Real Time
3.2.2.2 Massive Volumes of IoT Data
3.2.2.3 IoT Data Generates Useful Insights
3.3 IoT Data Management Operations
3.3.1 Basic Data Implementation and Operational Challenges
3.3.1.1 IoT Data Scalability
3.3.1.2 IoT Data Integration
3.3.2 Data Management and Processing Raw Data
3.3.3 Centralized Storage and Decentralized Processing
3.3.4 Accessing and Exchanging IoT Data via APIs
3.3.5 Data Security and Personal Information Privacy
3.4 Monetizing IoT Data and Analytics
3.4.1 IoT Data vs. IoT Data Analytics
3.4.1.1 IoT Data
3.4.1.2 IoT Data Analytics
3.4.2 Key IoT Data Management Monetization Issues
3.4.2.1 IoT Data Ownership
3.4.2.2 IoT Data Care of Custody
3.4.3 Direct vs. Indirect Monetization
3.4.4 Internal vs. External Enterprise IoT Data Monetization
3.4.4.1 Enterprise Data and Analytics: Internal Monetization
3.4.4.2 Enterprise Data and Analytics: External Monetization
3.4.5 Public Data Monetization
3.4.6 Hybrid IoT Monetization
3.4.7 Emerging IoT Data Management and Analytics Marketplace
3.4.7.1 IoT Data as a Service
3.4.7.2 IoT Data Analytics as a Service
3.4.7.3 Decisions as a Service
3.5 Related Monetization Areas
3.5.1 IoT OSS and BSS
3.5.1.1 IoT Operational Support Systems
3.5.1.2 IoT Billing Support Systems
3.5.2 IoT Mediation and Orchestration
3.5.2.1 IoT Mediation and Orchestration Functionality
3.5.2.1.1 IoT Mediation and Orchestration: Virtualization
3.5.2.1.2 IoT Mediation and Orchestration: Identity Management
3.5.2.1.3 Emerging Technologies for IoT Mediation and Orchestration
3.5.2.2 IoT Mediation and Orchestration in Support of Industry Verticals
3.5.2.3 Communication Service Provider Role in IoT Mediation and Orchestration Ecosystem
3.5.2.4 IoT Mediation and Orchestration Roadmap
3.6 Market Outlook for IoT Data Analytics
3.6.1 IoT Data Management is a Ubiquitous Opportunity across Enterprise
3.6.2 IoT Data becomes a Big Revenue Opportunity by 2021
3.6.3 Organizations increasing Adopt Predictive Analytics with IoT Data
3.6.4 Real-time Streaming IoT Data Analytics becoming a Substantial Business Opportunity
3.6.5 Intelligent Strategy and Smart Investment in IoT Data Analytics
3.6.6 IoT Data to Produce Substantial Operational Savings and Generate New Business
3.6.7 Tools Designed Specifically for IoT Data Management and Analytics
3.6.8 IoT Data Management and Analytics Roadmap 2016 to 2025
3.6.8.1 IoT Data Landscape from 2016 to 2018
3.6.8.2 IoT Data Landscape from 2019 to 2020
3.6.8.3 IoT Data Landscape from 2021 to 2025
4 IoT Data Platform Providers
4.1 Amdocs
4.2 AppCarousel
4.3 City Data Exchange
4.4 Horadata
4.5 Interdigital
4.6 RedKnee
4.7 Terbine
4.8 Tilepay
5 Technologies Enabling IoT Data
5.1 Present Technologies are Not Suitable for IoT Data
5.1.1 Enhanced Tools needed for Machine Generated Data in IoT
5.1.2 Advantages and Limitations of Hadoop in IoT Data
5.2 Technologies Specially Developed for IoT Data
5.2.1 Emerging Unified Logging Layer Approach
5.2.2 Will JSON be Most Adopted Data Format for IoT Devices?
5.2.3 Leading IoT Protocols
5.2.3.1 OASIS MQTT Ver. 3.1.1 Emerging as Fundamental Enabler for IoT Applications
5.2.3.2 XMPP Increases its Suitability for IoT
5.2.3.3 AMQP Provides Rich Capabilities for Distributed Systems
5.2.3.4 DDS enables IoT Network Interoperability
5.2.4 Analytics Platforms and Cloud based Data Storage for IoT Data
5.2.4.1 AGT offers IoTA a Cloud based Analytics Platform for IoT
5.2.4.2 AT&T’s M2X: Cloud-based Data Storage Service and Management Toolset
5.2.4.3 Bosch IoT Suit 2.0 offers BDP for IoT Data Analysis
5.2.4.4 Cisco IOX Framework and Fog Computing: Compute and Analyze Data at the Edge
5.2.4.5 GE Software Launched 24 Predictivity Solutions and GE Predix Platform
5.2.4.6 Intel Provides Cloud based Analytics System for IoT
5.2.4.7 MongoDB released Ver. 3.3.11 Database System
5.2.4.8 ParStream (Cisco) New Version of Analytics Platform
5.2.4.9 Connext DDS Comprehensive Messaging Platform
6 Global IoT Data Market Analysis and Forecasts 2016 - 2021
6.1 IoT Data Market Outlook
6.1.1 Analytics for IoT Applications
6.1.2 IoT Data Processing and Analysis Pilots to Predominate through 2018
6.2 Market Outlook and Forecasts for IoT Data 2016 – 2021
6.2.1 Full Fledged Deployments to Accelerate from 3Q 2018 through 2021
6.3 Investment in IoT Data 2016 - 2021
6.3.1 IoT Data by Region 2016 – 2021
6.3.2 IoT Data Analytics Services
6.3.3 IoT Data Products 2016 - 2021
6.3.3.1 High Demand for Platforms Providing Full Stack IoT Data Functionality through 2021
6.3.3.2 Single Product Platforms for IoT Data poised for Rapid Growth
6.3.3.2.1 Deployment of Data Collection Solutions 2016 - 2021
6.3.3.2.2 Deployment of Data Storage 2016 - 2021
6.3.3.2.3 Deployment of Data Analytics 2016 - 2021
6.3.3.3 IoT Data Management Support Software a Major Growth Opportunity Area
6.3.4 Cloud vs. On-Premise IoT Data Platform Deployment 2016 - 2021
6.3.5 Streaming IoT Data Analytics Revenue 2016 – 2021
6.3.5.1 Global Streaming Data Analytics Revenue for IoT
6.3.5.1 Global Streaming IoT Data Analytics Revenue by App, Software, and Services
6.3.5.1 Global Streaming IoT Data Analytics Revenue in Industry Verticals
6.3.5.1.1 Streaming IoT Data Analytics Revenue in Retail
6.3.5.1.1 Streaming IoT Data Analytics Revenue in Telecom and IT
6.3.5.1.1 Streaming IoT Data Analytics Revenue in Energy and Utility
6.3.5.1.1 Streaming IoT Data Analytics Revenue in Government
6.3.5.1.1 Streaming IoT Data Analytics Revenue in Healthcare and Life Science
6.3.5.1.1 Streaming IoT Data Analytics Revenue in Manufacturing
6.3.5.1.1 Streaming IoT Data Analytics Revenue in Transportation & Logistics
6.3.5.1.1 Streaming IoT Data Analytics Revenue in Banking and Finance
6.3.5.1.1 Streaming IoT Data Analytics Revenue in Smart Cities
6.3.5.1.1 Streaming IoT Data Analytics Revenue in Automotive
6.3.5.1.1 Streaming IoT Data Analytics Revenue in Education
6.3.5.1.1 Streaming IoT Data Analytics Revenue in Outsourcing Services
6.3.5.1 Streaming IoT Data Analytics Revenue by Leading Vendor Platform
6.3.6 Global Investment in IoT Data by Industry Sector 2016 – 2021
6.3.6.1 Healthcare Sector IoT Data Investment 2016 - 2021
6.3.6.2 Substantial Revenue Potential for Retail Sector in Monetizing IoT Data
6.3.6.3 Healthy Growth in Manufacturing Sector due to Industrial Automation and IoT Data
6.3.6.4 Investments by HVAC Industry in IoT 2016 – 2021
6.3.6.5 Investments by Oil & Cargo Industry in IoT 2016 – 2021
6.3.6.6 Investments in IoT Data by Transport & Cargo Industry in IoT 2016 – 2021
6.3.6.7 Investments in IoT Data by Utility Industry in IoT 2016 – 2021
6.3.7 IoT Data as a Service Prospects through 2021
6.4 IoT Data Infrastructure ROI Assessment
6.4.1 Factors Determining ROI for IoT
6.4.2 ROI for IoT Investments by Industrial Sector
6.4.2.1 ROI Assessment for IoT Data in the Retail Sector
6.4.2.2 ROI Assessment for IoT Data in the Healthcare Sector
7 Vendor Analysis
7.1 Key Vendor Trends in IoT Data
7.2 Large Companies to Lead through M&A and Partnerships
7.2.1 Early Beneficiaries: Established Companies in Analytics and Cloud Services
7.2.2 Flexible and Scalable Revenue Model will be Most Successful
7.3 Select Company Analysis
7.3.1 Accenture
7.3.2 AGT International
7.3.3 Bosch Software Innovations
7.3.4 Capgemini
7.3.5 Cisco Systems, Inc.
7.3.6 GE Digital
7.3.7 Google
7.3.8 Intel Corporation
7.3.9 Lynx Software Technologies, Inc.
7.3.10 Maana, Inc.
7.3.11 Microsoft Corporation
7.3.12 MongoDB Inc.
7.3.13 ParStream (ParStream Cisco)
7.3.14 PTC
7.3.15 RIOT
7.3.16 SAP SE
7.3.17 SQLstream, Inc.
7.3.18 Tellient
7.3.19 Teradata Corporation
7.3.20 Wind River
8 Conclusions and Recommendations
9 Appendix
9.1 Regional Streaming IoT Data Analytics Revenue 2016 – 2021
9.1.1 Revenue in Region
9.1.2 APAC Market Revenue
9.1.3 Europe Market Revenue
9.1.4 North America Market Revenue
9.1.5 Latin America Market Revenue
9.1.6 ME&A Market Revenue
9.2 Streaming IoT Data Analytics Revenue by Country 2016 – 2021
9.2.1 Revenue by APAC Countries
9.2.1.1 Leading Countries
9.2.1.2 Japan Market Revenue
9.2.1.3 China Market Revenue
9.2.1.4 India Market Revenue
9.2.1.5 Australia Market Revenue
9.2.2 Revenue by Europe Countries
9.2.2.1 Leading Countries
9.2.2.2 Germany Market Revenue
9.2.2.3 UK Market Revenue
9.2.2.4 France Market Revenue
9.2.3 Revenue by North America Countries
9.2.3.1 Leading Countries
9.2.3.2 US Market Revenue
9.2.3.3 Canada Market Revenue
9.2.4 Revenue by Latin America Countries
9.2.4.1 Leading Countries
9.2.4.2 Brazil Market Revenue
9.2.4.3 Mexico Market Revenue
9.2.5 Revenue by ME&A Countries
9.2.5.1 Leading Countries
9.2.5.2 South Africa Market Revenue
9.2.5.3 UAE Market Revenue

Figures

Figure 1: IT and OT IoT Data Merge
Figure 2: IoT Data Strategy impacts Architecture
Figure 3: A Vision of IoT Data by 2021
Figure 4: IoT Data vs. Non-IoT Unstructured Data
Figure 5: IoT Data Processing Flow
Figure 6: Distributed IoT Data Architecture
Figure 7: IoT Data Not Stored Only
Figure 8: Real-time IoT Data Management and Analytics
Figure 9: APIs enable IoT Data Access and Exchange
Figure 10: Security in IoT Data Architecture
Figure 11: IoT Data Care of Custody
Figure 12: Direct vs. Indirect IoT Data Monetization
Figure 13: Internal vs. External IoT Data Monetization
Figure 14: Merging IoT Data Sources – Hybrid Data
Figure 15: IoT Data Exchange Marketplace
Figure 16: IoT Mediation Architecture
Figure 17: IoT Identity Database Functionality
Figure 18: IoT Permissions Database
Figure 19: IoT Permissions Hierarchy
Figure 20: IoT Device Discovery and Alerting
Figure 21: IoT Device Discovery Dashboard
Figure 22: Smartphone Alert of Blocked IoT Connection Attempt
Figure 23: Smart Watch Alert of Blocked IoT Connection Attempt
Figure 24: IoT Mediation and Virtual Control of Real Objects
Figure 25: IoT Mediation in Industry Verticals
Figure 26: Phase One: Limited IoT Data Sharing without Formalized Mediation
Figure 27: Phase Two: IoT Data Sharing between Limited Industries
Figure 28: Phase Three: Broadly shared IoT Data across Industries and between Competitors
Figure 29: Inclusion of Predictive Models in Streaming IoT Data Analytics
Figure 30: Streaming IoT Data Sources Compared
Figure 31: Comparison of IoT Data Analytics Investment Focus
Figure 32: IoT Data Analytics Technology and Tool Choice in Enterprise
Figure 33: IoT Data Operational Savings and New Revenue Opportunities
Figure 34: IoT Data Management and Analytics Roadmap 2016 to 2025
Figure 35: IoT Data Platform Functions
Figure 36: IoT Data Market 2016 – 2021
Figure 37: Regional Investment in IoT Data 2016 – 2021
Figure 38: Investment in IoT Data Products by Segment 2016 – 2021
Figure 39: Investment in Full Stack Platforms for IoT Data 2016 - 2021
Figure 40: Investment in Single Product Platforms for IoT Data 2016 - 2021
Figure 41: Investment in Data Collection Solutions 2016 – 2021
Figure 42: Regional Investment in Data Collection Solutions 2016 – 2021
Figure 43: Data Storage Solutions 2016 – 2021
Figure 44: Regional Investment in Data Storage Solutions 2016 – 2021
Figure 45: Investment in Data Analytics Solutions 2016 – 2021
Figure 46: Regional Investment in Data Storage Solutions 2016 – 2021
Figure 47: Investment in Supporting Software 2016 – 2021
Figure 48: Investment in IoT Data by Deployment Model 2016 - 2021
Figure 49: Global Streaming IoT Data Analytics 2016 - 2021
Figure 50: Investment in IoT Data by Industry Vertical 2016 – 2021
Figure 51: Investment in IoT Data by Healthcare Industry 2016 – 2021
Figure 52: Regional Investment in IoT Data by Healthcare Industry 2016 – 2021
Figure 53: Investment in IoT Data by Retail Industry 2016 – 2021
Figure 54: Regional Investment in IoT Data by Retail Industry 2016 – 2021
Figure 55: Investments in IoT Data by Manufacturing Industry 2016 – 2021
Figure 56: Regional Investment in IoT Data by Manufacturing Industry 2016 – 2021
Figure 57: Investment in IoT Data by HVAC Industry 2016 – 2021
Figure 58: Regional Investment in IoT Data by HVAC Industry 2016 – 2021
Figure 59: Investment in IoT Data by Oil and Gas Industry 2016 – 2021
Figure 60: Regional Investment in IoT Data by Oil and Gas Industry 2016 – 2021
Figure 61: Investment in IoT Data by Transport and Cargo Industry 2016 – 2021
Figure 62: Regional Investment in IoT Data by Transport and Cargo Industry 2016 – 2021
Figure 63: Investment in IoT Data by Utility Industry 2016 – 2021
Figure 64: Regional Investment in IoT Data by Utility Industry 2016 – 2021
Figure 65: IoT Data-as-a-Service Market 2016 – 2021
Figure 66: IoT Data-as-a-Service Revenue by Region 2016 – 2021
Figure 67: IoT Data-as-a-Service Revenue by Industry Sector 2016 – 2021
Figure 68: Global ROI Assessment of IoT Data Investment 2016 – 2021
Figure 69: ROI Assessment of IoT Data Investment by Retail Sector 2016 – 2021
Figure 70: IoT Data Investment in Retail Sector by ROI Factors 2016 – 2021
Figure 71: ROI Assessment of IoT Data Investment by Healthcare Sector 2016 – 2021
Figure 72: IoT Data Investment in Healthcare Sector by ROI Factors 2016 – 2021
Figure 73: IoT Technology and Solutions Stack

Tables

Table 1: IoT Data Market 2016 – 2021
Table 2: Regional Investment in IoT Data 2016 – 2021
Table 3: Investment in IoT Data Products by Segment 2016 – 2021
Table 4: Investment in Full Stack Platforms for IoT Data
Table 5: Investment in Single Product Platforms for IoT Data 2016 - 2021
Table 6: Investment in Data Collection Solutions 2016 – 2021
Table 7: Regional Investment in Data Collection Solutions 2016 – 2021
Table 8: Investment in Data Storage Solutions 2016 – 2021
Table 9: Regional Investment in Data Storage Solutions 2016 – 2021
Table 10: Investment in Data Analytics Solutions 2016 – 2021
Table 11: Regional Investment in Data Analytics Solutions 2016 – 2021
Table 12: Investment in Supporting Software 2016 – 2021
Table 13: Investment in IoT Data by Deployment Model 2016 - 2021
Table 14: Global Streaming IoT Data Analytics Revenue by App, Software, and Service 2016 - 2021
Table 15: Global Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021
Table 16: Retail Streaming IoT Data Analytics Revenue by Retail Segment 2016 - 2021
Table 17: Retail Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021
Table 18: Telecom & IT Streaming IoT Data Analytics Rev by Segment 2016 – 2021
Table 19: Telecom & IT Streaming IoT Data Analytics Rev by App, Software, and Services 2016 – 2021
Table 20: Energy & Utilities Streaming IoT Data Analytics Rev by Segment 2016 – 2021
Table 21: Energy & Utilities Streaming IoT Data Analytics Rev by App, Software, and Services 2016 – 2021
Table 22: Government Streaming IoT Data Analytics Revenue by Segment 2016 – 2021
Table 23: Government Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021
Table 24: Healthcare & Life Science Streaming IoT Data Analytics Revenue by Segment 2016 – 2021
Table 25: Healthcare & Life Science Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021
Table 26: Manufacturing Streaming IoT Data Analytics Revenue by Segment 2016 – 2021
Table 27: Manufacturing Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021
Table 28: Transportation & Logistics Streaming IoT Data Analytics Revenue by Segment 2016 – 2021
Table 29: Transportation & Logistics Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021
Table 30: Banking and Finance Streaming IoT Data Analytics Revenue by Segment 2016 – 2021
Table 31: Banking & Finance Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021
Table 32: Smart Cities Streaming IoT Data Analytics Revenue by Segment 2016 – 2021
Table 33: Smart Cities Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021
Table 34: Automotive Streaming IoT Data Analytics Revenue by Segment 2016 – 2021
Table 35: Automotive Streaming IoT Data Analytics Revenue by Apps, Software, and Services 2016 – 2021
Table 36: Education Streaming IoT Data Analytics Revenue by Segment 2016 – 2021
Table 37: Education Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021
Table 38: Outsourcing Service Streaming IoT Data Analytics Revenue by Segment 2016 – 2021
Table 39: Outsourcing Service Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021
Table 40: Streaming IoT Data Analytics Revenue by Leading Vendor Platforms 2016 – 2021
Table 41: Investment in IoT Data by Industry Vertical 2016 – 2021
Table 42: Investment in IoT Data by Healthcare Industry 2016 – 2021
Table 43: Regional Investment in IoT Data by Healthcare Industry 2016 – 2021
Table 44: Investments in IoT Data by Retail Industry 2016 – 2021
Table 45: Regional Investment in IoT Data by Retail Industry 2016 – 2021
Table 46: IoT Data by Manufacturing Industry 2016 – 2021
Table 47: Regional Investment in IoT Data by Manufacturing Industry 2016 – 2021
Table 48: Investments in IoT Data by HVAC Industry 2016 – 2021
Table 49: Regional Investment in IoT Data by HVAC Industry 2016 – 2021
Table 50: Investments in IoT Data by Oil and Gas Industry 2016 – 2021
Table 51: Regional Investment in IoT Data by Oil and Gas Industry 2016 – 2021
Table 52: Investment in IoT Data by Transport and Cargo Industry 2016 – 2021
Table 53: Regional Investment in IoT Data by Transport and Cargo Industry 2016 – 2021
Table 54: Investment in IoT Data by Utility Industry 2016 – 2021
Table 55: Regional Investment in IoT Data by Utility Industry 2016 – 2021
Table 56: IoT Data as a Service Market 2016 – 2021
Table 57: IoT Data as a Service Revenue by Region 2016 – 2021
Table 58: IoT Data as a Service Revenue by Industry Vertical 2016 – 2021
Table 59: Global RoI Assessment of IoT Data Investment 2016 – 2021
Table 60: ROI Assessment of IoT Data Investment by Industry Sector 2016 – 2021
Table 61: ROI Assessment of IoT Data Investment by Retail Sector 2016 – 2021
Table 62: IoT Data Investment in Retail Sector by ROI Factors 2016 – 2021
Table 63: ROI Assessment of IoT Data Investment by Healthcare Sector 2016 – 2021
Table 64: IoT Data Investment in Healthcare Sector by ROI Factors 2016 – 2021
Table 65: Streaming IoT Data Analytics Revenue in Region 2016 – 2021
Table 66: APAC Streaming IoT Data Analytics Revenue by Solution and Services 2016 - 2021
Table 67: APAC Streaming IoT Data Analytics Revenue in Industry Vertical 2016 - 2021
Table 68: APAC Streaming IoT Data Analytics Revenue by Leading Vendor Platforms 2016 – 2021
Table 69: Europe Streaming IoT Data Analytics Revenue by Solution and Services 2016 - 2021
Table 70: Europe Streaming IoT Data Analytics Revenue in Industry Vertical 2016 - 2021
Table 71: Europe Streaming IoT Data Analytics Revenue by Leading Vendor Platforms 2016 - 2021
Table 72: North America Streaming IoT Data Analytics Revenue by Solution and Services 2016 - 2021
Table 73: North America Streaming IoT Data Analytics Revenue in Industry Vertical 2016 - 2021
Table 74: North America Streaming IoT Data Analytics Revenue by Leading Vendor Platforms 2016 - 2021
Table 75: Latin America Streaming IoT Data Analytics Revenue by Solution and Services 2016 - 2021
Table 76: Latin America Streaming IoT Data Analytics Revenue in Industry Vertical 2016 - 2021
Table 77: Latin America Streaming IoT Data Analytics Revenue by Leading Vendor Platforms 2016 – 2021
Table 78: ME&A Streaming IoT Data Analytics Revenue by Solution and Services 2016 - 2021
Table 79: ME&A Streaming IoT Data Analytics Revenue in Industry Vertical 2016 - 2021
Table 80: ME&A Streaming IoT Data Analytics Revenue by Leading Vendor Platforms 2016 - 2021
Table 81: Streaming IoT Data Analytics Revenue by APAC Countries 2016 – 2021
Table 82: Japan Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021
Table 83: Japan Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021
Table 84: China Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021
Table 85: China Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021
Table 86: India Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021
Table 87: India Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021
Table 88: Australia Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021
Table 89: Australia Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021
Table 90: Streaming IoT Data Analytics Revenue by Europe Countries 2016 – 2021
Table 91: Germany Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021
Table 92: Germany Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021
Table 93: UK Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021
Table 94: UK Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021
Table 95: France Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021
Table 96: France Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021
Table 97: Streaming IoT Data Analytics Revenue by North America Countries 2016 – 2021
Table 98: US Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021
Table 99: US Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021
Table 100: Canada Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021
Table 101: Canada Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021
Table 102: Streaming IoT Data Analytics Revenue by Latin America Countries 2016 – 2021
Table 103: Brazil Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021
Table 104: Brazil Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021
Table 105: Mexico Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021
Table 106: Mexico Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021
Table 107: Streaming IoT Data Analytics Revenue by ME&A Countries 2016 – 2021
Table 108: South Africa Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021
Table 109: South Africa Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021
Table 110: UAE Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021
Table 111: UAE Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021

Sensors and Intelligent End-point Devices in IoT: Market Analysis and Forecast 2016 – 2021

1 Introduction
1.1 Scope
1.2 Target Audience
1.3 Companies in Report
2 Executive Summary
3 Overview
3.1 Sensors are the Key Enablers for IoT
3.2 Role of Sensors in IoT
3.3 Smart Sensors and Intelligent Endpoints
3.3.1 Intelligence at the Edge of the Network
3.3.2 Key Differentiations of Smart Sensors
3.4 High Potential Smart Sensor Applications
3.4.1 Smart Home
3.4.2 Smart Buildings and Enterprise Automation
3.4.3 Smart Cities
3.4.4 Smart Manufacturing
3.4.5 Smart Industrial Processes
4 Sensor Technology and Developments
4.1 Architecture of Conventional Sensor
4.2 Smart Sensor Architecture
4.2.1 Transducer Electronic Data Sheets (TEDS)
4.2.2 Smart Transducer Interface Module and Network Capable Application Processor
4.3 Wireless Sensor Networks (WSN)
4.3.1 Sensor Nodes
4.3.2 WSN Topologies
4.3.3 Applications and Challenges
4.4 Virtual / Soft Sensors, Multi-sensing, and Sensor Fusion
4.5 Role of WSN and Sensor Fusion in IoT
4.5.1 IoT Protocols used in WSN
4.5.1.1 ZigBee Alliance
4.5.1.2 Z-Wave Alliance
4.5.1.3 Insteon
4.5.1.4 Digital Living Network Alliance (DLNA)
4.5.1.5 Thread
4.6 Sensor Analytics
4.6.1 Data Visualization
4.6.2 Data Infrastructure Issues
4.6.3 Sensor and Intelligent Endpoint Analytics
5 Sensors and Intelligent Endpoint Outlook and Forecasts
5.1 Smart Sensors Demand 2016 - 2021
5.2 Intelligent Automation a Key Market Driver for Smart Sensors
5.3 Demand for Sensors by Industry Category 2016 - 2021
5.4 EMEA to Lead the Regional Markets for IoT Sensors through 2021
6 Future of Sensors in IoT
6.1 Sensor Data Management and IoT Security/Privacy
6.1.1 Sensor Data Management
6.1.2 Sensors and IoT Services and Infrastructure Mediation
6.2 Roadmap to One Trillion Sensors
6.2.1 Opportunity for Sensor Manufacturers
6.2.2 Demand for Short Range Sensors to Realize Brisk Growth
6.2.3 Opportunity for Systems-on-Chip (SoC) Fabricators
6.2.4 Use of IPV6 brings New Opportunities from Massive Connectivity
7 Companies and Solutions
7.1 365 Agile Limited (365 Agile Group Plc)
7.2 Ambiq Micro
7.3 B+B SmartWorx
7.4 Bosch Connected Devices and Solutions GmbH (BCDS)
7.5 Digi International
7.6 Fairchild Semiconductors International
7.7 LeddarTech Inc.
7.8 Nanjing IoT Sensor Technology Co., Ltd.
7.9 NYCE Sensors Inc.
7.10 Open Sensors Ltd.
7.11 Sensata Technologies
7.12 Seraphim Sense Ltd.
7.13 Silicon Laboratories, Inc.
7.14 Texas Instruments Inc.
7.15 Worldsensing
7.16 Wovyn LLC.

Figures

FIGURE 1: Fog Computing in IoT
FIGURE 2: Fog Computing and Managing Intelligent Endpoint Data
FIGURE 3: Elements of Traditional Sensor
FIGURE 4: Elements of Smart Sensor
FIGURE 5: Smart Sensor Model
FIGURE 6: Smart Sensor Model with Functional Partitioning
FIGURE 7: Sensor Node Components
FIGURE 8: Wireless Sensor Network Topologies
FIGURE 9: Sensor and Intelligent Endpoint Analytics
FIGURE 10: Global IoT Markets 2016 - 2021
FIGURE 11: Global Opportunity Forecast for Development of Smart Sensors 2016 – 2021
FIGURE 12: Markets for Smart Sensors by IoT Type 2016 – 2021
FIGURE 13: Markets for Sensor by Industry Category 2015 and 2020 (%)
FIGURE 14: Demand for Sensor by Industry Category 2015 and 2020 (%)
FIGURE 15: Markets for IoT Smart Sensors by Region 2016 – 2021
FIGURE 16: IoT Infrastructure, Platform, and Software Mediation
FIGURE 17: Phase One: Limited IoT Data Sharing without Formalized Mediation
FIGURE 18: Phase Two: IoT Data Sharing between Limited Industries
FIGURE 19: Phase Two: Broadly shared IoT Data across Industries and between Competitors

Tables

TABLE 1: Overview of TEDs
TABLE 2: Global IoT Markets 2016 - 2021
TABLE 3: Global Opportunity Forecast for Development of Smart Sensors 2016 – 2021
TABLE 4: Markets for Smart Sensors by IoT Type 2016 – 2021
TABLE 5: Markets for Smart Sensors by Industry Sector 2016 - 2021
TABLE 6: Markets for IoT Smart Sensors by Region 2016 – 2021


Categories



Data and Analytics

M2M and IoT

Devices

Broadband

Strategy
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