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Capturing Big Data in Social and Detection Systems: Market Opportunities and Challenges 2013–2019

Published

October 2013

Pages

157

Pricing

Single-user License: $ 2,995 USD
Company-wide License: $ 6,995 USD
Team License (Up to 5 Users): $ 3,995 USD

Keywords

Big Data, Big Data Industry Verticals, Big Data Market Segments, Big Data Forecast, Data Mining, Big Data Capture, Big Data Sensing, Big Data RFID, Big Data Social, Big Data Ecommerce, Big Data Payments, Big Data Search, Big Data Government, Big Data Telecom, Big Data Utilities, Big Data vs API, Big Data SDM

Overview

Every large corporation collects and maintains a huge amount of data associated with its customers including their preferences, purchases, habits, travels, and other personal information. In addition to the large volume, much of this data is unstructured, making it hard to manage. This so called "Big Data" is a challenge for industry verticals yet also an opportunity.

The enormous growth potential of Big Data caught the attention of various large players such as IBM and Oracle, to name only a couple, who have developed a key strategic focus in this area and various vertical-specific offerings.

By now many people across various industry verticals understand the basic issues or at least have heard that Big Data is a big deal. However, most of the focus to date has been on the importance of optimizing data management and analytics. There has been very little analysis about challenges and opportunities for capturing Big Data.

This report provides critical evaluation of the front-end of Big Data: capturing data from various sources. This report focuses specifically on social systems as well as obtaining data through sensing/detection with an emphasis on RFID. The report includes Big Data revenue forecasts, predictions about the future of Big Data and social/detection, and related recommendations.

See Table of Contents for complete list of areas covered.

Key Findings

  • Social, search, and ecommerce systems are a key source of unstructured data
  • Future Big Data systems will rely upon an automated feed from various commercial and private sources
  • Big Data is a big opportunity for those companies that position themselves for future systems integration
  • There is an important role for hybrid Big Data and API solutions that combine the best of both worlds for data

Audience

  • Big Data companies
  • RFID and NFC companies
  • Social media and networks
  • Presence detection companies
  • Fortune 1000 corporations of all types
  • Database and related infrastructure providers
  • ICT infrastructure and service providers of all types
  • Data aggregators, storage and management providers
  • Telecommunications infrastructure and service providers
  • Government including homeland security and law enforcement

Table of Contents

  • Executive Summary
  • Introduction
  • What is Big Data?
  • The Important V’s of Big Data
  • Big Data Growth Drivers
  • Detection: Sensors, Presence, Location and More
  • Sensors in Consumer Sector
  • Sensors in Industry
  • Big Data Systems, Processes and Procedures
  • Data Management and Big Data Management Systems
  • Big Data Framework and Technologies
  • Data Sources for Big Data
  • Big Data Analysis Challenges and Solutions
  • Major Big Data Companies
  • IBM
  • About the Company
  • Big Data Strategy
  • Big Data Solutions – Products and Services
  • Related Products
  • Our Analysis
  • Datameer
  • About the Company
  • Big Data Strategy
  • Big Data Products and Solutions
  • Our Analysis
  • Amazon Web Services
  • About the Company
  • Big Data Strategy
  • Products and Solutions
  • Our Analysis
  • HP – Big Data
  • About the Company
  • Big Data Strategy
  • Products and Solutions
  • Related Solutions
  • Our Analysis
  • Spotfire
  • About the Company
  • Big Data Strategy
  • Product and Solutions
  • Related Products
  • Our Analysis
  • Intel
  • About the Company
  • Big Data Strategy
  • Products and Solutions
  • Related Solutions
  • Our Analysis
  • EMC
  • About the Company
  • Big Data Strategy
  • Products and Solutions
  • Related Products
  • Our Analysis
  • Big Data Sectors
  • Big Data and Healthcare
  • Known Issues and Challenges
  • Big Data and Tracking Industries
  • Known Issues and Challenges
  • Big Data in the Public Sector
  • Known Issues
  • Big Data in Retail Business
  • Known Issues and Challenges
  • Big Data in Finance
  • Known Issues and Challenges
  • RFID and Social Integration
  • RFID, Big Data Integration and Social Integration
  • NFC Technology Overview
  • Current Market Dynamics and Social Media
  • NFC in Mobile Commerce
  • Big Data Representation
  • Big Data Growth
  • Big Data State
  • Big Data Trends in Social Apps
  • Big Data Market
  • Big Data Applications
  • Big Data and RFID
  • Big Data Ecosystem
  • Big Data and RFID Ecosystem
  • Big Data – Privacy and Public Policy Issues
  • Big Data and RFID in Payment Systems
  • Current Applications
  • Big Data and Payment Systems
  • Market Analysis
  • The Future of Big Data and Payment Systems
  • Big Data and RFID Consumer Applications
  • Big Data and RFID in Security Systems
  • Big Data and RFID in Healthcare
  • Big Data in RFID AMR Applications
  • Big Data and RFID Tracking Systems
  • RFID Tracking System
  • RFID Implementation Domain and Big Data
  • Growth Analysis of RFID Tracking Systems
  • Predicting the Most Successful RFID Applications
  • Mobile Payments and Tracking System
  • Known Issues and Challenges
  • Big Data in RFID Challenges
  • Real-Time
  • Evaluation
  • Data Validation
  • Data Representation
  • Conclusions
  • Big Data – Cloud Applications
  • SAAS and Big Data
  • Big Data and Connected Devices
  • Big Data Applications
  • Future Applications
  • The Potential for Google in Big Data, RFID and M2M
  • Big Data Analytics and Future Applications
  • Future Applications Using Big Data and Social Media
  • The New Ecosystem
  • Advertisement
  • User Tracking
  • Business Models
  • Big Data Forecasts
  • Overall Global Big Data Revenue 2013–2019
  • Global Big Data Revenue by Functional Area 2013-2019
  • Regional Big Data Revenue 2013-2019
  • Summary and Recommendations

List of Figures

  • Figure 1: Structured and Unstructured Big Data
  • Figure 2: Determining Relevancy in Big Data
  • Figure 3: Top Big Data Business Challenges
  • Figure 4: The Rich Data Social Science Future
  • Figure 5: Data Volume of the Future
  • Figure 6: Enterprise Control of Big Data
  • Figure 7: API Growth 2005-2012
  • Figure 8: Big Data Social and Detection Landscape
  • Figure 9: Big Data Growth
  • Figure 10: Overview across Verticals
  • Figure 11: Big Data Ecosystem
  • Figure 12: Big Data in Everyday Life
  • Figure 13: Big Data Domains
  • Figure 14: Big Data and RFID
  • Figure 15: Big Data RFID Lifecycle
  • Figure 16: Big Data Verticals
  • Figure 17: Big Data Components
  • Figure 18: Big Data Stages
  • Figure 19: Big Data as a Service (BDaaS)
  • Figure 20: Global Big Data Revenue: 2013-2019 ($M)
  • Figure 21: Functional Big Data Revenue: 2013-2019 ($M)
  • Figure 22: Regional Big Data Revenue: 2013-2019 ($M)
  • Figure 23: Functional View of Big Data Relationships
  • Figure 24: SDM Systems and Players
  • Figure 25: Big Data Relationships among Players

List of Tables

  • Table 1 - Big Data Market