The Internet of Things (IoT) will bring a whole new meaning to the term Infonomics, which pertains to the economic significance of information. IoT Data as a Service (IoTDaaS) offers convenient and cost effective solutions to enterprises of various sizes and domain. IoTDaaS constitutes retrieving, storing and analyzing information and provide customer either of the three or integrated service package depending on the budget and the requirement.
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Acquiring (capturing and/or licensing), storing, processing, and distributing IoT Data to become a $15B USD business by 2021
Mind Commerce evaluates leading technologies and tools under development, maps benefits to market needs, identifies key solutions, and forecasts market opportunities and demands. This research provides comprehensive analysis of the IoT Data as a Service marketplace. The report includes comprehensive forecasts for the period 2016 – 2021.
Target Audience:
Network service providers
Systems integration companies
IoT and wireless device manufacturers
Network and device security companies
Data management and analytics companies
Readers of this report will also be interested in the more comprehensive report entitled: IoT Data Management and Analytics Market Outlook & Forecasts 2016 – 2021
Major Points from Table of Contents:
1 Introduction
2 Executive Summary
3 Overview
4 IoT Data as a Service Forecasts 2016 – 2021
5 Conclusions and Recommendations
Request a sample of IoT Data as a Service (IoTDaaS) Market report at http://www.orbisresearch.com/contacts/request-sample/122006 .
List of Tables:
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-as-a-Service Market 2016 – 2021
Figure 36: IoT Data-as-a-Service Revenue by Region 2016 – 2021
Figure 37: IoT Data-as-a-Service Revenue by Industry Sector 2016 – 2021
Figure 38: IoT Technology and Solutions Stack
Tables
Table 1: IoT Data as a Service Market 2016 – 2021
Table 2: IoT Data as a Service Revenue by Region 2016 – 2021
Table 3: IoT Data as a Service Revenue by Industry Vertical 2016 – 2021
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