Welcome!

Machine Learning Authors: Elizabeth White, Yeshim Deniz, Liz McMillan, Pat Romanski, Ed Featherston

News Feed Item

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

LONDON, Jan. 8, 2014 /PRNewswire/ -- Reportbuyer.com just published a new market research report:

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


Overview:

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.

Despite challenges, such as the lack of clear big data strategies, security concerns and the need for workforce re-skilling, the growth potential of Big Data is unprecedented. Mind Commerce estimates that global spending on Big Data will grow at a CAGR of 48% between 2014 and 2019. Big Data revenues will reach $135 Billion by the end of 2019.

This report provides an in-depth assessment of the global Big Data market, including a study of the business case, application use cases, vendor landscape, value chain analysis, case studies and a quantitative assessment of the industry from 2013 to 2019.

Topics covered in the report:

The Business Case for Big Data: An assessment of the business case, growth drivers and barriers for Big Data
Big Data Technology: A review of the underlying technologies that resolve big data complexities
Big Data Use Cases: A review of investments sectors and specific use cases for the Big Data market
The Big Data Value Chain: An analysis of the value chain of Big Data and the major players involved within it
Vendor Assessment & Key Player Profiles: An assessment of the vendor landscape of leading players within the Big Data market
Market Analysis and Forecasts: A global and regional assessment of the market size and forecasts for the Big Data market from 2014 to 2019

Key Findings:

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.
Mind Commerce has determined that IBM leads the Big Data market in terms of current investments (from a vendor perspective), with estimated revenue for $1.3 Billion in 2012 for its Big Data services, software and hardware sale
Despite challenges such as the lack of clear big data strategies, security concerns and the need for workforce re-skilling, the growth potential of Big Data is unprecedented. Mind Commerce estimates that global spending on Big Data will grow at a CAGR of 48% between 2014 and 2019. Big Data revenues will reach $135 Billion by the end of 2019

Companies in Report:

Accenture
Adaptive
Adobe
Amazon
Apache Software Foundation
APTEAN (Formerly CDC Software)
BoA
Bristol Myers Squibb
Brooks Brothers
Centre for Economics and Business Research
CIA
Cisco Systems
Cloud Security Alliance (CSA)
Cloudera
Dell
EMC
Facebook
Facebook
GoodData Corporation
Google
Google
Guavus
Hitachi Data Systems
Hortonworks
HP
IBM
Informatica
Intel
Jaspersoft
JPMC
McLaren
Microsoft
MongoDB (Formerly 10Gen)
Morgan Stanley
MU Sigma
Netapp
NSA
Opera Solutions
Oracle
Pentaho
Platfora
Qliktech
Quantum
Rackspace
Revolution Analytics
Salesforce
SAP
SAS Institute
Sisense
Software AG/Terracotta
Splunk
Sqrrl
Supermicro
Tableau Software
Teradata
Think Big Analytics
Tidemark Systems
T-Mobile
TomTom
US Xpress
VMware (Part of EMC)
Vodafone

Target Audience:

Investment Firms
Media Companies
Utilities Companies
Financial Institutions
Application Developers
Government Organizations
Retail & Hospitality Companies
Other Vertical Industry Players
Analytics and Data Reporting Companies
Healthcare Service Providers & Institutions
Fixed and Mobile Telecom service providers
Big Data Technology/Solution (Infrastructure, Software, Service) Vendors
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: Key Players in the Big Data Market 35
5.1 Vendor Assessment Matrix 35
5.2 Apache Software Foundation 36
5.3 Accenture 36
5.4 Amazon 36
5.5 APTEAN (Formerly CDC Software) 37
5.6 Cisco Systems 37
5.7 Cloudera 37
5.8 Dell 37
5.9 EMC 38
5.10 Facebook 38
5.11 GoodData Corporation 38
5.12 Google 38
5.13 Guavus 39
5.14 Hitachi Data Systems 39
5.15 Hortonworks 39
5.16 HP 40
5.17 IBM 40
5.18 Informatica 40
5.19 Intel 40
5.20 Jaspersoft 41
5.21 Microsoft 41
5.22 MongoDB (Formerly 10Gen) 41
5.23 MU Sigma 42
5.24 Netapp 42
5.25 Opera Solutions 42
5.26 Oracle 42
5.27 Pentaho 43
5.28 Platfora 43
5.29 Qliktech 43
5.30 Quantum 44
5.31 Rackspace 44
5.32 Revolution Analytics 44
5.33 Salesforce 45
5.34 SAP 45
5.35 SAS Institute 45
5.36 Sisense 45
5.37 Software AG/Terracotta 46
5.38 Splunk 46
5.39 Sqrrl 46
5.40 Supermicro 47
5.41 Tableau Software 47
5.42 Teradata 47
5.43 Think Big Analytics 48
5.44 Tidemark Systems 48
5.45 VMware (Part of EMC) 48
6 Chapter 6: Market Analysis 49
6.1 Big Data Revenue: 2014 - 2019 49
6.2 Big Data Revenue by Functional Area: 2014 - 2019 50
6.2.1 Supply Chain Management 51
6.2.2 Business Intelligence 52
6.2.3 Application Infrastructure & Middleware 53
6.2.4 Data Integration Tools & Data Quality Tools 54
6.2.5 Database Management Systems 55
6.2.6 Big Data Social & Content Analytics 56
6.2.7 Big Data Storage Management 57
6.2.8 Big Data Professional Services 58
6.3 Big Data Revenue by Region 2014 - 2019 59
6.3.1 Asia Pacific 60
6.3.2 Eastern Europe 61
6.3.3 Latin & Central America 62
6.3.4 Middle East & Africa 63
6.3.5 North America 64
6.3.6 Western Europe 65

List of Figures

Figure 1: The Big Data Value Chain 32
Figure 2: Big Data Vendor Ranking Matrix 2013 35
Figure 3: Big Data Revenue: 2013 - 2019 ($ Million) 49
Figure 4: Big Data Revenue by Functional Area: 2013 - 2019 ($ Million) 50
Figure 5: Big Data Supply Chain Management Revenue: 2013 - 2019 ($ Million) 51
Figure 6: Big Data Supply Business Intelligence Revenue: 2013 - 2019 ($ Million) 52
Figure 7: Big Data Application Infrastructure & Middleware Revenue: 2013 - 2019 ($ Million) 53
Figure 8: Big Data Integration Tools & Data Quality Tools Revenue: 2013 - 2019 ($ Million) 54
Figure 9: Big Data Database Management Systems Revenue: 2013 - 2019 ($ Million) 55
Figure 10: Big Data Social & Content Analytics Revenue: 2013 - 2019 ($ Million) 56
Figure 11: Big Data Storage Management Revenue: 2013 - 2019 ($ Million) 57
Figure 12: Big Data Professional Services Revenue: 2013 - 2019 ($ Million) 58
Figure 13: Big Data Revenue by Region: 2013 - 2019 ($ Million) 59
Figure 14: Asia Pacific Big Data Revenue: 2013 - 2019 ($ Million) 60
Figure 15: Eastern Europe Big Data Revenue: 2013 - 2019 ($ Million) 61
Figure 16: Latin & Central America Big Data Revenue: 2013 - 2019 ($ Million) 62
Figure 17: Middle East & Africa Big Data Revenue: 2013 - 2019 ($ Million) 63
Figure 18: North America Big Data Revenue: 2013 - 2019 ($ Million) 64
Figure 19: Western Europe Big Data Revenue: 2013 - 2019 ($ Million) 65


Read the full report:
Big Data Market: Business Case, Market Analysis and Forecasts 2014 - 2019
http://www.reportbuyer.com/business_government/outsourcing_bpo/big_data_market_business_case_market_analysis_forecasts_2014_2019.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Business_Outsourcing


For more information:
Sarah Smith
Research Advisor at Reportbuyer.com
Email: [email protected]
Tel: +44 208 816 85 48
Website: www.reportbuyer.com

SOURCE ReportBuyer

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

@CloudExpo Stories
In this strange new world where more and more power is drawn from business technology, companies are effectively straddling two paths on the road to innovation and transformation into digital enterprises. The first path is the heritage trail – with “legacy” technology forming the background. Here, extant technologies are transformed by core IT teams to provide more API-driven approaches. Legacy systems can restrict companies that are transitioning into digital enterprises. To truly become a lead...
DevOps at Cloud Expo, taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 21st Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to w...
SYS-CON Events announced today that Daiya Industry will exhibit at the Japanese Pavilion at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Ruby Development Inc. builds new services in short period of time and provides a continuous support of those services based on Ruby on Rails. For more information, please visit https://github.com/RubyDevInc.
When it comes to cloud computing, the ability to turn massive amounts of compute cores on and off on demand sounds attractive to IT staff, who need to manage peaks and valleys in user activity. With cloud bursting, the majority of the data can stay on premises while tapping into compute from public cloud providers, reducing risk and minimizing need to move large files. In his session at 18th Cloud Expo, Scott Jeschonek, Director of Product Management at Avere Systems, discussed the IT and busine...
As businesses evolve, they need technology that is simple to help them succeed today and flexible enough to help them build for tomorrow. Chrome is fit for the workplace of the future — providing a secure, consistent user experience across a range of devices that can be used anywhere. In her session at 21st Cloud Expo, Vidya Nagarajan, a Senior Product Manager at Google, will take a look at various options as to how ChromeOS can be leveraged to interact with people on the devices, and formats th...
First generation hyperconverged solutions have taken the data center by storm, rapidly proliferating in pockets everywhere to provide further consolidation of floor space and workloads. These first generation solutions are not without challenges, however. In his session at 21st Cloud Expo, Wes Talbert, a Principal Architect and results-driven enterprise sales leader at NetApp, will discuss how the HCI solution of tomorrow will integrate with the public cloud to deliver a quality hybrid cloud e...
Is advanced scheduling in Kubernetes achievable? Yes, however, how do you properly accommodate every real-life scenario that a Kubernetes user might encounter? How do you leverage advanced scheduling techniques to shape and describe each scenario in easy-to-use rules and configurations? In his session at @DevOpsSummit at 21st Cloud Expo, Oleg Chunikhin, CTO at Kublr, will answer these questions and demonstrate techniques for implementing advanced scheduling. For example, using spot instances ...
The next XaaS is CICDaaS. Why? Because CICD saves developers a huge amount of time. CD is an especially great option for projects that require multiple and frequent contributions to be integrated. But… securing CICD best practices is an emerging, essential, yet little understood practice for DevOps teams and their Cloud Service Providers. The only way to get CICD to work in a highly secure environment takes collaboration, patience and persistence. Building CICD in the cloud requires rigorous ar...
SYS-CON Events announced today that Yuasa System will exhibit at the Japan External Trade Organization (JETRO) Pavilion at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Yuasa System is introducing a multi-purpose endurance testing system for flexible displays, OLED devices, flexible substrates, flat cables, and films in smartphones, wearables, automobiles, and healthcare.
The session is centered around the tracing of systems on cloud using technologies like ebpf. The goal is to talk about what this technology is all about and what purpose it serves. In his session at 21st Cloud Expo, Shashank Jain, Development Architect at SAP, will touch upon concepts of observability in the cloud and also some of the challenges we have. Generally most cloud-based monitoring tools capture details at a very granular level. To troubleshoot problems this might not be good enough.
Companies are harnessing data in ways we once associated with science fiction. Analysts have access to a plethora of visualization and reporting tools, but considering the vast amount of data businesses collect and limitations of CPUs, end users are forced to design their structures and systems with limitations. Until now. As the cloud toolkit to analyze data has evolved, GPUs have stepped in to massively parallel SQL, visualization and machine learning.
Organizations do not need a Big Data strategy; they need a business strategy that incorporates Big Data. Most organizations lack a road map for using Big Data to optimize key business processes, deliver a differentiated customer experience, or uncover new business opportunities. They do not understand what’s possible with respect to integrating Big Data into the business model.
When it comes to cloud computing, the ability to turn massive amounts of compute cores on and off on demand sounds attractive to IT staff, who need to manage peaks and valleys in user activity. With cloud bursting, the majority of the data can stay on premises while tapping into compute from public cloud providers, reducing risk and minimizing need to move large files. In his session at 18th Cloud Expo, Scott Jeschonek, Director of Product Management at Avere Systems, discussed the IT and busine...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities – ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups. As a result, many firms employ new business models that place enormous impor...
SYS-CON Events announced today that Dasher Technologies will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Dasher Technologies, Inc. ® is a premier IT solution provider that delivers expert technical resources along with trusted account executives to architect and deliver complete IT solutions and services to help our clients execute their goals, plans and objectives. Since 1999, we'v...
SYS-CON Events announced today that Taica will exhibit at the Japan External Trade Organization (JETRO) Pavilion at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Taica manufacturers Alpha-GEL brand silicone components and materials, which maintain outstanding performance over a wide temperature range -40C to +200C. For more information, visit http://www.taica.co.jp/english/.
Recently, REAN Cloud built a digital concierge for a North Carolina hospital that had observed that most patient call button questions were repetitive. In addition, the paper-based process used to measure patient health metrics was laborious, not in real-time and sometimes error-prone. In their session at 21st Cloud Expo, Sean Finnerty, Executive Director, Practice Lead, Health Care & Life Science at REAN Cloud, and Dr. S.P.T. Krishnan, Principal Architect at REAN Cloud, will discuss how they b...
We all know that end users experience the Internet primarily with mobile devices. From an app development perspective, we know that successfully responding to the needs of mobile customers depends on rapid DevOps – failing fast, in short, until the right solution evolves in your customers' relationship to your business. Whether you’re decomposing an SOA monolith, or developing a new application cloud natively, it’s not a question of using microservices – not doing so will be a path to eventual b...
SYS-CON Events announced today that TidalScale, a leading provider of systems and services, will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. TidalScale has been involved in shaping the computing landscape. They've designed, developed and deployed some of the most important and successful systems and services in the history of the computing industry - internet, Ethernet, operating s...
SYS-CON Events announced today that MIRAI Inc. will exhibit at the Japan External Trade Organization (JETRO) Pavilion at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. MIRAI Inc. are IT consultants from the public sector whose mission is to solve social issues by technology and innovation and to create a meaningful future for people.