ResearchMoz

Big Data and Telecom Analytics Market: Business Case, Market Analysis & Forecasts 2014 - 2019

Mind Commerce Publishing
Published Date » 2013-09-12
No. Of Pages » 72
   
 Big Data refers to a massive volume of both structured and unstructured data that is so large that it is difficult to process using traditional database and software techniques. While the presence of such datasets is not something new, the past few years have witnessed immense commercial investments in solutions that address the processing and analysis of Big Data. 
   
 Big Data opens a vast array of applications and opportunities in multiple vertical sectors including, but not limited to, retail and hospitality, media, utilities, financial services, healthcare and pharmaceutical, telecommunications, government, homeland security, and the emerging industrial Internet vertical. 
   
 With access to vast amounts of data sets, telecommunications companies are emerging as major...
Table of Contents: 

1 Chapter 1: Introduction 8
1.1 Executive Summary 8
1.2 Topics Covered 9
1.3 Key Findings 10
1.4 Target Audience 11
1.5 Companies Mentioned 12

2 Chapter 2: Big Data Technology & Business Case 15
2.1 Defining Big Data 15
2.2 Key Characteristics of Big Data 15
2.2.1 Volume 15
2.2.2 Variety 16
2.2.3 Velocity 16
2.2.4 Variability 16
2.2.5 Complexity 16
2.3 Big Data Technology 17
2.3.1 Hadoop 17
2.3.1.1 MapReduce 17
2.3.1.2 HDFS 17
2.3.1.3 Other Apache Projects 18
2.3.2 NoSQL 18
2.3.2.1 Hbase 18
2.3.2.2 Cassandra 18
2.3.2.3 Mongo DB 18
2.3.2.4 Riak 19
2.3.2.5 CouchDB 19
2.3.3 MPP Databases 19
2.3.4 Others and Emerging Technologies 20
2.3.4.1 Storm 20
2.3.4.2 Drill 20
2.3.4.3 Dremel 20
2.3.4.4 SAP HANA 20
2.3.4.5 Gremlin & Giraph 20
2.4 Market Drivers 21
2.4.1 Data Volume & Variety 21
2.4.2 Increasing Adoption of Big Data by Enterprises & Telcos 21
2.4.3 Maturation of Big Data Software 21
2.4.4 Continued Investments in Big Data by Web Giants 21
2.5 Market Barriers 22
2.5.1 Privacy & Security: The ‘Big’ Barrier 22
2.5.2 Workforce Re-skilling & Organizational Resistance 22
2.5.3 Lack of Clear Big Data Strategies 23
2.5.4 Technical Challenges: Scalability & Maintenance 23

3 Chapter 3: Key Investment Sectors for Big Data 24
3.1 Industrial Internet & M2M 24
3.1.1 Big Data in M2M 24
3.1.2 Vertical Opportunities 24
3.2 Retail & Hospitality 25
3.2.1 Improving Accuracy of Forecasts & Stock Management 25
3.2.2 Determining Buying Patterns 25
3.2.3 Hospitality Use Cases 25
3.3 Media 26
3.3.1 Social Media 26
3.3.2 Social Gaming Analytics 26
3.3.3 Usage of Social Media Analytics by Other Verticals 26
3.4 Utilities 27
3.4.1 Analysis of Operational Data 27
3.4.2 Application Areas for the Future 27
3.5 Financial Services 27
3.5.1 Fraud Analysis & Risk Profiling 27
3.5.2 Merchant-Funded Reward Programs 27
3.5.3 Customer Segmentation 28
3.5.4 Insurance Companies 28
3.6 Healthcare & Pharmaceutical 28
3.6.1 Drug Development 28
3.6.2 Medical Data Analytics 28
3.6.3 Case Study: Identifying Heartbeat Patterns 28
3.7 Telcos 29
3.7.1 Telco Analytics: Customer/Usage Profiling and Service Optimization 29
3.7.2 Speech Analytics 29
3.7.3 Other Use Cases 29
3.8 Government & Homeland Security 30
3.8.1 Developing New Applications for the Public 30
3.8.2 Tracking Crime 30
3.8.3 Intelligence Gathering 30
3.8.4 Fraud Detection & Revenue Generation 30
3.9 Other Sectors 31
3.9.1 Aviation: Air Traffic Control 31
3.9.2 Transportation & Logistics: Optimizing Fleet Usage 31
3.9.3 Sports: Real-Time Processing of Statistics 31

4 Chapter 4: The Big Data Value Chain 32
4.1 How Fragmented is the Big Data Value Chain? 32
4.2 Data Acquisitioning & Provisioning 33
4.3 Data Warehousing & Business Intelligence 33
4.4 Analytics & Virtualization 33
4.5 Actioning & Business Process Management (BPM) 34
4.6 Data Governance 34

5 Chapter 5: Big Data in Telco Analytics 35
5.1 How Big is the Market for Telco Analytics? 35
5.2 Improving Subscriber Experience 36
5.2.1 Generating a Full Spectrum View of the Subscriber 36
5.2.2 Creating Customized Experiences and Targeted Promotions 36
5.2.3 Central ‘Big Data’ Repository: Key to Customer Satisfaction 36
5.2.4 Reduce Costs and Increase Market Share 37
5.3 Building Smarter Networks 37
5.3.1 Understanding the Usage of the Network 37
5.3.2 The Magic of Analytics: Improving Network Quality and Coverage 37
5.3.3 Combining Telco Data with Public Data Sets: Real-Time Event Management 37
5.3.4 Leveraging M2M for Telco Analytics 37
5.3.5 M2M, Deep Packet Inspection & Big Data: Identifying & Fixing Network Defects 38
5.4 Churn/Risk Reduction and New Revenue Streams 38
5.4.1 Predictive Analytics 38
5.4.2 Identifying Fraud & Bandwidth Theft 38
5.4.3 Creating New Revenue Streams 39
5.5 Telco Analytics Case Studies 39
5.5.1 T-Mobile USA: Churn Reduction by 50% 39
5.5.2 Vodafone: Using Telco Analytics to Enable Navigation 39

6 Chapter 6: Key Players in the Big Data Market 41
6.1 Vendor Assessment Matrix 41
6.2 Apache Software Foundation 42
6.3 Accenture 42
6.4 Amazon 42
6.5 APTEAN (Formerly CDC Software) 43
6.6 Cisco Systems 43
6.7 Cloudera 43
6.8 Dell 43
6.9 EMC 44
6.10 Facebook 44
6.11 GoodData Corporation 44
6.12 Google 44
6.13 Guavus 45
6.14 Hitachi Data Systems 45
6.15 Hortonworks 45
6.16 HP 46
6.17 IBM 46
6.18 Informatica 46
6.19 Intel 46
6.20 Jaspersoft 47
6.21 Microsoft 47
6.22 MongoDB (Formerly 10Gen) 47
6.23 MU Sigma 48
6.24 Netapp 48
6.25 Opera Solutions 48
6.26 Oracle 48
6.27 Pentaho 49
6.28 Platfora 49
6.29 Qliktech 49
6.30 Quantum 50
6.31 Rackspace 50
6.32 Revolution Analytics 50
6.33 Salesforce 51
6.34 SAP 51
6.35 SAS Institute 51
6.36 Sisense 51
6.37 Software AG/Terracotta 52
6.38 Splunk 52
6.39 Sqrrl 52
6.40 Supermicro 53
6.41 Tableau Software 53
6.42 Teradata 53
6.43 Think Big Analytics 54
6.44 Tidemark Systems 54
6.45 VMware (Part of EMC) 54

7 Chapter 7: Market Analysis 55
7.1 Big Data Revenue: 2014 - 2019 55
7.2 Big Data Revenue by Functional Area: 2014 - 2019 56
7.2.1 Supply Chain Management 57
7.2.2 Business Intelligence 58
7.2.3 Application Infrastructure & Middleware 59
7.2.4 Data Integration Tools & Data Quality Tools 60
7.2.5 Database Management Systems 61
7.2.6 Big Data Social & Content Analytics 62
7.2.7 Big Data Storage Management 63
7.2.8 Big Data Professional Services 64
7.3 Big Data Revenue by Region 2014 - 2019 65
7.3.1 Asia Pacific 66
7.3.2 Eastern Europe 67
7.3.3 Latin & Central America 68
7.3.4 Middle East & Africa 69
7.3.5 North America 70
7.3.6 Western Europe 71

List of Tables

NA

List of Figures


Figure 1: The Big Data Value Chain 32
Figure 2: Telco Analytics Investments Driven by Big Data: 2013 - 2019 ($ Million) 35
Figure 3: Big Data Vendor Ranking Matrix 2013 41
Figure 4: Big Data Revenue: 2013 – 2019 ($ Million) 55
Figure 5: Big Data Revenue by Functional Area: 2013 – 2019 ($ Million) 56
Figure 6: Big Data Supply Chain Management Revenue: 2013 – 2019 ($ Million) 57
Figure 7: Big Data Supply Business Intelligence Revenue: 2013 – 2019 ($ Million) 58
Figure 8: Big Data Application Infrastructure & Middleware Revenue: 2013 – 2019 ($ Million) 59
Figure 9: Big Data Integration Tools & Data Quality Tools Revenue: 2013 – 2019 ($ Million) 60
Figure 10: Big Data Database Management Systems Revenue: 2013 – 2019 ($ Million) 61
Figure 11: Big Data Social & Content Analytics Revenue: 2013 – 2019 ($ Million) 62
Figure 12: Big Data Storage Management Revenue: 2013 – 2019 ($ Million) 63
Figure 13: Big Data Professional Services Revenue: 2013 – 2019 ($ Million) 64
Figure 14: Big Data Revenue by Region: 2013 – 2019 ($ Million) 65
Figure 15: Asia Pacific Big Data Revenue: 2013 – 2019 ($ Million) 66
Figure 16: Eastern Europe Big Data Revenue: 2013 – 2019 ($ Million) 67
Figure 17: Latin & Central America Big Data Revenue: 2013 – 2019 ($ Million) 68
Figure 18: Middle East & Africa Big Data Revenue: 2013 – 2019 ($ Million) 69
Figure 19: North America Big Data Revenue: 2013 – 2019 ($ Million) 70
Figure 20: Western Europe Big Data Revenue: 2013 – 2019 ($ Million) 71

Upcoming Reports:

Psychiatry Therapies Market - Global Industry Analysis, Size, Share, Growth, Trends And Forecast, 2014 - 2020
By - Transparency Market Research
Psychiatric therapies include therapeutic interaction processes between trained psychiatric professionals and the patient in order to treat psychology related problems of patients. Psychiatric therapies involve the treatment of emotional and mental disorders and behavior disturbance by using psychological techniques and therapies. These psychiatry therapies are designed to change the behavior of a patient and provide relief from the disorder.  Psychiatry therapies basically rely on establishing relationship between patients and psychiatry therapist for developing...
Poland: market of synthetic staple fibres yarn
By - Williams and Marshal Strategy
This report presents a comprehensive overview of the synthetic staple fibers yarn market in Poland and its state as of January 2014. It provides detailed analysis of the industry, its dynamics and structure. The purpose of the report is to describe the state of the synthetic staple fibers yarn market in Poland, to present actual and retrospective information about the volumes and dynamics of production, imports, exports and consumption, the characteristics of the market for the period 2008-2012 and to build a forecast for the market development until 2018. In the same way, the report...
Poland: eggs market
By - Williams and Marshal Strategy
nd the factors, influencing its development. Last but not least, the report presents a general overview of the economy of Poland in 2008-2012 and a forecast for its development in the medium term. The report on the eggs market in Poland includes: Analysis and dynamics of the economy of Poland; Forecast for the development of the economy of Poland; Analysis and forecast of market volume and dynamics; Volume, dynamics and analysis of domestic production; Characteristics of market structure (by origin, by types of products, etc.); Analysis of price level and dynamics; Volume, dynamics...

Research Assistance

We will be happy to help you find what you need.
Please call us or write us:

866-997-4948 (Us-Canada Toll Free)
Tel: +1-518-618-1030
Email: sales@researchmoz.us
Select License type:

Share this report

Related News

World Cup Stadium at Qatar to be Renovated for 2022 FIFA World Cup
Nov 26, 2014  
The design for renovation of the Khalifa International Stadium will soon be unveiled by the organization that is responsible for building the infrastructure and stadiums for the 2022 FIFA World Cup Qatar. The main construction work on the stadium is being looked into by two prominent construction companies. The joint venture is between Six Construct and Midmac Contracting. Six Construct is a...
DOD Spending Low, Corps Look for More Work in Alaska
Nov 24, 2014  
Military construction across Alaska continues to decline. Government contractors expect to keep busy for the time being with work delegated by other federal agencies. The United States Army Corps of Engineers expects to have more than US$410 million worth of work available on at least 400 projects in the 2015 fiscal year. Chris Tew, the Alaska Contracting Division chief said that is...
China Consumer Products Fair Kicks-Off in Abu Dhabi
Nov 24, 2014  
Seeking to market products in the United Arab Emirates (UAE) and Mena regions, more than 100 consumer goods makers from China showcased their mid-to-high-end consumer goods at the China Consumer Products Fair. The second edition of the China Consumer Products Fair 2014 began on Monday in Abu Dhabi’s National Exhibition Center (Adnec). The event was officially inaugurated by the Economic...
Ford Recalls 65,000 Fusion Models Due to Issues in Ignition Key
Nov 20, 2014  
If anything defines the world of automobiles currently, it would be recalls. It seems that a flood of automobiles has surrounded the global automobiles industry, which once represented a flourishing and highly profitable industry.  The current automobile giants ordering yet another recall is Ford Motors Co. Ford declared on Tuesday that it is recalling nearly 65,000 sedans from...
3D Printed Heart Model for Better Cardiological Treatment
Nov 20, 2014  
According to research carried out by the American Heart Association’s Scientific Sessions 2014, surgeons will be able to treat complex heart disorders in patients, with the help of a three dimensional experimental printed model of the heart. For surgical planning, most cardiac surgeons make use of two dimensional images of the heart taken by MRI, ultrasound, and X-ray. But the problem is...