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MARKET REPORT DETAIL

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

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Published Date: Oct, 2013
Format: PDF
No of Pages: 157

 
 
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  • Abstract
  • Table of Contents

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.

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
Target 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 

1.0 EXECUTIVE SUMMARY 6
2.0 INTRODUCTION 7
2.1 WHAT IS BIG DATA? 7
2.2 THE IMPORTANT V'S OF BIG DATA 8
2.3 BIG DATA GROWTH DRIVERS 10
2.4 DETECTION: SENSORS, PRESENCE, LOCATION, AND MORE 11
2.5 SENSORS IN CONSUMER SECTOR 11
2.6 SENSORS IN INDUSTRY 11
3.0 BIG DATA SYSTEMS, PROCESSES, AND PROCEDURES 13
3.1 DATA MANAGEMENT AND BIG DATA MANAGEMENT SYSTEMS 16
3.2 BIG DATA FRAMEWORK & TECHNOLOGIES 18
3.3 DATA SOURCES FOR BIG DATA 22
3.4 BIG DATA ANALYSIS CHALLENGES AND SOLUTIONS 24
4.0 MAJOR BIG DATA COMPANIES 32
4.1 IBM 32
4.1.1 ABOUT THE COMPANY 32
4.1.2 BIG DATA STRATEGY 32
4.1.3 BIG DATA SOLUTIONS- PRODUCTS AND SERVICES 33
4.1.4 RELATED PRODUCTS 33
4.1.5 OUR ANALYSIS 34
4.2 DATAMEER 35
4.2.1 ABOUT THE COMPANY 35
4.2.2 BIG DATA STRATEGY 36
4.2.3 BIG DATA PRODUCTS AND SOLUTIONS 36
4.2.4 OUR ANALYSIS 37
4.3 AMAZON WEB SERVICES 38
4.3.1 ABOUT THE COMPANY 38
4.3.2 BIG DATA STRATEGY 38
4.3.3 PRODUCTS AND SOLUTIONS 38
4.3.4 OUR ANALYSIS 39
4.4 HP- BIG DATA 40
4.4.1 ABOUT THE COMPANY 40
4.4.2 BIG DATA STRATEGY 40
4.4.3 PRODUCTS AND SOLUTIONS 40
4.4.4 RELATED SOLUTIONS 42
4.4.5 OUR ANALYSIS 42
4.5 SPOTFIRE 43
4.5.1 ABOUT THE COMPANY 43
4.5.2 BIG DATA STRATEGY 44
4.5.3 PRODUCT AND SOLUTIONS 44
4.5.4 RELATED PRODUCTS 45
4.5.5 OUR ANALYSIS 45
4.6 INTEL 46
4.6.1 ABOUT THE COMPANY 46
4.6.2 BIG DATA STRATEGY 46
4.6.3 PRODUCTS AND SOLUTIONS 47
4.6.4 RELATED SOLUTIONS 48
4.6.5 OUR ANALYSIS 48
4.7 EMC 48
4.7.1 ABOUT THE COMPANY 48
4.7.2 BIG DATA STRATEGY 48
4.7.3 PRODUCTS AND SOLUTIONS 49
4.7.4 RELATED PRODUCTS 50
4.7.5 OUR ANALYSIS 51
5.0 BIG DATA SECTORS 53
5.1 BIG DATA AND HEALTHCARE 55
5.1.1 KNOWN ISSUE AND CHALLENGES 58
5.2 BIG DATA AND TRACKING INDUSTRIES 62
5.2.1 KNOWN ISSUES AND CHALLENGES 65
5.3 BIG DATA IN THE PUBLIC SECTOR 67
5.3.1 KNOWN ISSUES 71
5.4 BIG DATA IN RETAIL BUSINESS 73
5.4.1 KNOWN ISSUES AND CHALLENGES 77
5.5 BIG DATA IN FINANCE 79
5.5.1 KNOWN ISSUES AND CHALLENGES 79
6.0 RFID AND SOCIAL INTEGRATION 82
6.1 RFID, BIG DATA INTEGRATION& SOCIAL INTEGRATION 82
6.2 NFC TECHNOLOGY OVERVIEW 83
6.3 CURRENT MARKET DYNAMICS& SOCIAL MEDIA 84
6.4 NFC IN MOBILE COMMERCE 85
7.0 BIG DATA REPRESENTATION 88
7.1 BIG DATA GROWTH 89
7.2 BIG DATA STATE 91
7.3 BIG DATA TRENDS IN SOCIAL APPS 92
8.0 BIG DATA MARKET 95
8.1 BIG DATA APPLICATIONS 96
8.2 BIG DATA AND RFID 98
8.3 BIG DATA ECOSYSTEM 99
8.4 THE BIG DATA AND RFID ECOSYSTEM 102
8.5 BIG DATA - PRIVACY AND PUBLIC POLICY ISSUES 104
9.0 BIG DATA AND RFID IN PAYMENT SYSTEMS 107
9.1 CURRENT APPLICATIONS 107
9.2 BIG DATA AND PAYMENT SYSTEMS 108
9.3 MARKET ANALYSIS 109
9.4 THE FUTURE OF BIG DATA AND PAYMENT SYSTEMS 110
10.0 BIG DATA AND RFID CONSUMER APPLICATIONS 113
10.1 BIG DATA AND RFID IN SECURITY SYSTEMS 113
10.2 BIG DATA AND RFID IN HEALTHCARE 114
10.3 BIG DATA IN RFID AMR APPLICATIONS 115
11.0 BIG DATA & RFID TRACKING SYSTEMS 117
11.1 RFID TRACKING SYSTEM 118
11.2 RFID IMPLEMENTATION DOMAIN AND BIG DATA 119
11.3 GROWTH ANALYSIS OF RFID TRACKING SYSTEMS 120
11.4 PREDICTING THE MOST SUCCESSFUL RFID APPLICATIONS 121
11.5 MOBILE PAYMENTS AND TRACKING SYSTEM 123
11.6 KNOWN ISSUES AND CHALLENGES 124
12.0 BIG DATA IN RFID CHALLENGES 127
12.1 REAL-TIME 128
12.2 EVALUATION 129
12.3 DATA VALIDATION 129
12.4 DATA REPRESENTATION 129
12.5 CONCLUSIONS 130
13.0 BIG DATA - CLOUD APPLICATIONS 131
13.1 SAAS AND BIG DATA 133
13.2 BIG DATA AND CONNECTED DEVICES 134
13.3 BIG DATA APPLICATIONS 136
13.4 FUTURE APPLICATIONS 138
13.5 THE POTENTIAL FOR GOOGLE IN BIG DATA, RFID, AND M2M 140
14.0 BIG DATA ANALYTICS AND FUTURE APPLICATIONS 143
14.1 FUTURE APPLICATIONS USING BIG DATA AND SOCIAL MEDIA 145
14.2 THE NEW ECOSYSTEM 145
14.3 ADVERTISEMENT 146
14.4 USER TRACKING 147
14.5 BUSINESS MODELS 147
15.0 BIG DATA FORECASTS 150
15.1 OVERALL GLOBAL BIG DATA REVENUE 2013 - 2019 150
15.2 GLOBAL BIG DATA REVENUE BY FUNCTIONAL AREA 2013 - 2019 150
15.3 REGIONAL BIG DATA REVENUE 2013 - 2019 151
16.0 SUMMARY AND RECOMMENDATIONS 153

Figures and Tables

Figure 1 Structured and Unstructured Big Data 8
Figure 2 Determining Relevancy in Big Data 9
Figure 3 Top Big Data Business Challenges 25
Figure 4 The Rich Data Social Science Future 28
Figure 5 Data Volume of the Future 29
Figure 6 Enterprise Control of Big Data 30
Figure 7 API Growth 2005 - 2012 31
Figure 8 Big Data Social and Detection Landscape 53
Figure 9 Big Data Growth 90
Figure 10 Overview across Verticals 95
Figure 11 Big Data Ecosystem 100
Figure 12 Big Data in Everyday Life 101
Figure 13 Big Data Domains 108
Figure 14 Big Data & RFID 119
Figure 15 Big Data RFID Lifecycle 120
Figure 16 Bid Data Verticals 127
Figure 17 Big Data Components 144
Figure 18 Big Data Stages 148
Figure 19 Big Data as a Service (BDaaS) 149
Figure 20: Global Big Data Revenue: 2013-2019 ($M) 150
Figure 21: Functional Big Data Revenue: 2013-2019 ($M) 151
Figure 22: Regional Big Data Revenue: 2013-2019 ($M) 151
Figure 23 Functional View of Big Data Relationships 153
Figure 24 SDM Systems and Players 154
Figure 25 Big Data Relationships among Players 155

Table 1 - Big Data Market 109 

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