Market Opportunity: Big Data in the Internet of Things (IoT)




Published: May 2015   Pages: 22
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Overview:

Today billions of devices generate data associated with various enterprise and consumer lifestyle events such as shopping activity, utility usage and other smart grid data, advertisement response, status of goods in transport, weather forecasts, traffic conditions, unscheduled and schedule maintenance of vehicles, aviation delays and timings, downloads and usage of applications, and much more.

Data generated is typically raw, unstructured, and in need of processing and presentation to decision makers. This can ultimately take the form of tables, charts and infographics that will help company executives to design strategies, performance improvement plans, etc.

Big Data and Analytics software and applications will play a crucial role in making IoT a success. The data generated through sensors embedded in various things/objects will generate massive amounts of unstructured (big) data on real-time basis that holds the promise for intelligence and insights for dramatically improved decision processes.
IoT in consumer and industrial sectors generate huge amount of data through mobile devices, sensors, events, web access logs, machines, apps, clicks etc.

Target Audience:

  • Regulatory and Policy Groups
  • Exporters, Importers and Traders
  • Business and Financial Institutions
  • Associations and Technology Groups
  • Corporate and Institutional Investors
  • Government and International Bodies
  • Lawyers, Bankers, Libraries, Embassies
  • Patent Offices and Technology Executives
  • Venture Capitalists, Consultants and more
  • Management Consulting and Advisory Firms

Table of Contents:

1 Executive Summary 3
2 Overview of Big Data in IoT 4
2.1 Big Data Framework for IoT 4
2.2 Big Data in IoT Challenges 5
2.2.1 Storage of Scalable High-volume Data 5
2.2.2 Data Management and Processing Raw Data: Difficult Task in Multivendor Environment 6
2.2.3 Data Security and Personal Information Privacy are the Biggest Hurdles 7
3 Big Data in IoT Trends and Outlook 9
3.1 Big Data as a Service will take Major Market Share 9
3.2 Flexible and Scalable Revenue Model for Big Data Services will be Most Successful 10
4 Select Big Data in IoT Vendors and Solutions 11
4.1 AGT offers Cloud based Analytical Platform for IoT 11
4.2 AT&T’s M2X: Cloud-based Data Storage Service and Management Toolset Designed for IoT 12
4.3 Bosch Innovation offers Big Data Processing (BDP) for Data Analysis 13
4.4 Cisco IOX Framework and Fog Computing: Compute, Store, and Analyze Data at the Edge 14
4.5 GE Software Launched 24 Predictivity Solutions and GE Predix Platform 15
4.6 Intel Provides Cloud based Analytics System for IoT 19
4.7 MongoDB released Ver. 3.0 Database System 19
4.8 ParStream released New Version of its Analytical Platform 20
4.9 Real Time Innovation and Connext DDS: Comprehensive Messaging Platform 21


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