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Hadoop & Big Data Market [Hardware, Software, Services, Hadoop-as-a-Service] - Trends, Geographical Analysis & Worldwide Market Forecasts (2012 - 2017)

NEW YORK, Oct. 24, 2012 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Hadoop & Big Data Market [Hardware, Software, Services, Hadoop-as-a-Service] - Trends, Geographical Analysis & Worldwide Market Forecasts (2012 – 2017)
http://www.reportlinker.com/p01016921/Hadoop--Big-Data-Market-[Hardware-Software-Services-Hadoop-as-a-Service]---Trends-Geographical-Analysis--Worldwide-Market-Forecasts-2012-–-2017.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Software

Big Data has grown in significance over the last few years because of the pervasiveness of its application, across areas ranging from weather forecasting to analyzing business trends, fighting crime and preventing epidemics etc. Big data sets are so large that traditional data management tools are incapable of analyzing all the data effectively and processing valuable information out of it. Hadoop is an open source java framework that enables distributed parallel processing of large volume of data across servers which has emerged as the solution to extract potential value from all this data.

The worldwide Hadoop market is segmented by software types, hardware equipments, services, and geography. Hadoop market forecasts for each segment are provided from 2012 to 2017. The Hadoop market research report will include benefits and technological awareness of Hadoop combined with its market potential across industry verticals such as Banking & Finance, manufacturing, biotechnology & defense. Hadoop & Big Data Analytics Market report will also include the study of emerging non-Hadoop Big Data platforms, Hadoop adoption trends among Enterprise Data Warehouse players, Hadoop benchmark standards, and Hadoop-as-a-Service market. A section of the report will focus on competitive landscaping, company profiles and market opportunities within the Hadoop ecosystem.

The Big Data Analytics Market report deals with the market trends in Hadoop and the growth associated with it. It also analysis the various factors that will drive and restrain the market over the next five years. The report also provides market forecasts of the overall Big Data Analytics Market, covering size by region, type, industry and competitive ecosystem. The Hadoop market in 2012 is worth $1.5 billion and is expected to grow to about $13.9 billion by 2017, at a CAGR of 54.9% from 2012 to 2017.

Scope of the Report

This research report categorizes the Hadoop market on the basis of software types, hardware equipments, services, verticals and geographies.

On the basis of Software Types

The market by software types is segmented into four types; namely, Hadoop packaged software, Hadoop management software, Hadoop application software, and Hadoop performance monitoring software (cluster management tools).

On the basis of Hardware Equipments

The market by hardware equipments is broadly classified into three categories; namely, servers, storage and network equipments.

On the basis of Services

The market by services is segmented into four types; namely, consulting, integration & deployment, training & outsourcing, middleware & support.

On the basis of Geography

The report segments the market geographically into North America, Europe, Asia-Pacific (APAC), Latin America and Middle East & Africa region.

On the basis of Industry Verticals

The report segments the market based on its usage across the industry verticals such as Banking & Finance, Telecommunication, Web, Retail, Manufacturing, Healthcare, Government & Public Utilities, Oil & Gas, Bioinformatics, Gaming, IT & Security, Transportation, Media & Entertainment & Education.

Each section provides market data, market drivers, trends and opportunities, key players, and competitive outlook. In addition, the report provides 24 company profiles along with 54 market tables, representing various sub-segments.



TABLE OF CONTENTS

1 INTRODUCTION
1.1 KEY TAKE-AWAYS
1.2 REPORT DESCRIPTION
1.3 MARKETS COVERED
1.4 STAKEHOLDERS
1.5 RESEARCH METHODOLOGY
1.5.1 KEY DATA POINTS FROM PRIMARY SOURCES
1.5.2 KEY DATA POINTS FROM SECONDARY SOURCES
1.5.3 FORECAST ASSUMPTIONS
2 EXECUTIVE SUMMARY
3 MARKET OVERVIEW
3.1 MARKET DEFINITION- HADOOP
3.2 EVOLUTION OF HADOOP
3.3 RISE OF BIGDATA
3.3.1 OVERVIEW
3.3.2 BIG DATA COMPETITIVE ECOSYSTEM
3.3.3 BIG DATA PURE PLAY VENDORS & MARKET SIZE
3.3.3.1 Market size & forecast by Industry
3.3.3.2 Market size & forecast by Type
3.3.3.3 Market size & forecast by region
3.3.4 DRIVERS & COMPLEXITY
3.4 NEED FOR HADOOP
3.5 HADOOP ECOSYSTEM
3.6 HADOOP STACK
3.7 MARKET SEGMENTATION
3.8 OVERALL MARKETSIZE
3.9 MARKET DYNAMICS
3.9.1 DRIVERS
3.9.1.1 Push for open source enterprise grade software products
3.9.1.2 Rise of big data & growing need for big data analytics
3.9.2 RESTRAINTS
3.9.2.1 Immature platform
3.9.2.2 Lack of security features in the Hadoop framework
3.9.2.3 Performance issues
3.9.3 OPPORTUNITIES
3.9.3.1 Fragmentation & consolidation
3.9.3.2 Venture capital funding
3.1 WINNING IMPERATIVE
3.10.1 STRATEGIC PARTNERSHIPS
4 HADOOP: MARKET SIZE, ANALYSIS & FORECAST, BY TYPE
4.1 OVERVIEW
4.2 MARKET SIZE BY SOFTWARE TYPES
4.2.1 HADOOP PACKAGED SOFTWARES
4.2.2 HADOOP MANAGEMENT SOFTWARES
4.2.3 HADOOP APPLICATION SOFTWARES
4.2.4 HADOOP PERFORMANCE MONITORING SOFTWARES
4.2.4.1 Cluster management tools
4.3 MARKET SIZE BY HARDWARE EQUIPMENTS
4.3.1 SERVERS
4.3.2 STORAGE
4.3.2.1 1 Terabyte – 1000 Terabyte
4.3.2.2 1 Petabyte – 10 Petabyte
4.3.2.3 10 Petabyte and above
4.3.3 NETWORK EQUIPMENTS
4.4 MARKET SIZE BY SERVICES
4.4.1 CONSULTING
4.4.2 INTEGRATION & DEPLOYMENT SERVICES
4.4.3 TRAINING & OUTSOURCING
4.4.4 MIDDLEWARE & SUPPORT
5 HADOOP: ADOPTION TRENDS & FUTURE BUSINESS APPROACHES
5.1 EMERGING NON-HADOOP BIG DATA PLATFORMS
5.2 ADOPTION OF HADOOP BY EDW PLAYERS
5.3 FUTURE FOCUS IN HADOOP PLATFORMS
5.3.1 INTEGRATION
5.3.2 DEPLOYMENT
5.3.3 ACCESS
5.3.4 DATA SECURITY
5.3.5 RELIABILITY & PERFORMANCE
5.3.6 COST OF OWNERSHIP
5.4 HADOOP-AS-A-SERVICE
5.4.1 OVERVIEW
5.4.2 KEY STAKEHOLDERS
5.4.3 MARKET SIZE & FORECAST BY REGION
5.5 HADOOP BENCHMARK STANDARDS
5.5.1 TERASORT
5.5.2 TESTDFSIO
5.5.3 NNBENCH
5.5.4 MRBENCH
6 HADOOP: MARKET ANALYSIS & FORECAST, BY VERTICAL SEGMENTS
6.1 OVERVIEW
6.2 BANKING, FINANCIAL SERVICES & INSURANCE
6.2.1 MARKET SIZE & FORECAST
6.3 MANUFACTURING
6.3.1 MARKET SIZE & FORECAST
6.4 RETAIL
6.4.1 MARKET SIZE & FORECAST
6.5 TELECOMMUNICATIONS
6.5.1 MARKET SIZE & FORECAST
6.6 HEALTHCARE & LIFE SCIENCES
6.6.1 MARKET SIZE & FORECAST
6.7 WEB
6.7.1 MARKET SIZE & FORECAST
6.8 MEDIA & ENTERTAINMENT
6.8.1 MARKET SIZE & FORECAST
6.9 NATURAL RESOURCES
6.9.1 MARKET SIZE & FORECAST
6.10 GOVT & PUBLIC UTILITIES
6.10.1 MARKET SIZE & FORECAST
6.11 BIOINFORMATICS
6.11.1 MARKET SIZE & FORECAST
6.12 UNIVERSITY RESEARCH & EDUCATION
6.12.1 MARKET SIZE & FORECAST
6.13 IT & SECURITY
6.13.1 MARKET SIZE & FORECAST
6.14 GAMING
6.14.1 MARKET SIZE & FORECAST
6.15 TRANSPORTATION
6.15.1 MARKET SIZE & FORECAST
6.16 OTHERS
6.16.1 MARKET SIZE & FORECAST
7 HADOOP: MARKET ANALYSIS & FORECAST, BY GEOGRAPHIES
7.1 OVERVIEW
7.2 NORTH AMERICA
7.2.1 MARKET SIZE & FORECAST
7.3 EUROPE
7.3.1 MARKET SIZE & FORECAST
7.4 MIDDLE EAST & AFRICA
7.4.1 MARKET SIZE & FORECAST
7.5 ASIA PACIFIC (APAC)
7.5.1 MARKET SIZE & FORECAST
7.6 LATIN AMERICA
7.6.1 MARKET SIZE & FORECAST
8 COMPETITIVE LANDSCAPE & INDUSTRY PLAYERS
8.1 MERGERS & ACQUISITION
8.2 COLLABORATION & JOINT VENTURES
8.3 VENTURE CAPITAL & FUNDING
9 COMPANY PROFILES
9.1 CLOUDERA, INC.
9.1.1 OVERVIEW
9.1.2 PRODUCTS & SERVICES
9.1.3 PUSH FOR HADOOP
9.1.4 ANALYST INSIGHT
9.2 MAPR TECHNOLOGIES, INC.
9.2.1 OVERVIEW
9.2.2 PRODUCTS & SERVICES
9.2.3 PUSH FOR HADOOP
9.2.4 ANALYST INSIGHT
9.3 HORTONWORKS, INC.
9.3.1 OVERVIEW
9.3.2 PRODUCTS & SERVICES
9.3.3 PUSH FOR HADOOP
9.3.4 ANALYST INSIGHT
9.4 KARMASPHERE, INC.
9.4.1 OVERVIEW
9.4.2 PRODUCTS & SERVICES
9.4.3 PUSH FOR HADOOP
9.4.4 ANALYST INSIGHT
9.5 HADAPT, INC.
9.5.1 OVERVIEW
9.5.2 PRODUCTS & SERVICES
9.5.3 PUSH FOR HADOOP
9.5.4 ANALYST INSIGHT
9.6 GREENPLUM, INC.
9.6.1 OVERVIEW
9.6.2 PRODUCTS & SERVICES
9.6.3 PUSH FOR HADOOP
9.6.4 ANALYST INSIGHT
9.7 AMAZON WEBSERVICES LLC
9.7.1 OVERVIEW
9.7.2 PRODUCTS & SERVICES
9.7.3 PUSH FOR HADOOP
9.7.4 ANALYST INSIGHT
9.8 HSTREAMING LLC
9.8.1 OVERVIEW
9.8.2 PRODUCTS & SERVICES
9.8.3 PUSH FOR HADOOP
9.8.4 ANALYST INSIGHT
9.9 OUTERTHOUGHT
9.9.1 OVERVIEW
9.9.2 PRODUCTS & SERVICES
9.9.3 PUSH FOR HADOOP
9.9.4 ANALYST INSIGHT
9.10 PENTAHO CORPORATION
9.10.1 OVERVIEW
9.10.2 PRODUCTS & SERVICES
9.10.3 PUSH FOR HADOOP
9.10.4 ANALYST INSIGHTS
9.11 PLATFORM COMPUTING
9.11.1 OVERVIEW
9.11.2 PRODUCTS & SERVICES
9.11.3 PUSH FOR HADOOP
9.11.4 ANALYST INSIGHT
9.12 ZETTASET INC.
9.12.1 OVERVIEW
9.12.2 PRODUCTS & SERVICES
9.12.3 PUSH FOR HADOOP
9.12.4 ANALYST INSIGHTS
9.13 DATASTAX, INC.
9.13.1 OVERVIEW
9.13.2 PRODUCTS & SERVICES
9.13.3 PUSH FOR HADOOP
9.13.4 ANALYST INSIGHT
9.14 DATAMEER, INC.
9.14.1 OVERVIEW
9.14.2 PRODUCTS & SERVICES
9.14.3 PUSH FOR HADOOP
9.14.4 ANALYST INSIGHT
9.15 IBM
9.15.1 OVERVIEW
9.15.2 PRODUCTS & SERVICES
9.15.3 PUSH FOR HADOOP
9.15.4 ANALYST INSIGHT
9.16 HEWLETT-PACKARD
9.16.1 OVERVIEW
9.16.2 PRODUCTS & SERVICES
9.16.3 PUSH FOR BIG DATA & HADOOP
9.16.4 ANALYST INSIGHT
9.17 DELL, INC.
9.17.1 OVERVIEW
9.17.2 PRODUCTS & SERVICES
9.17.3 PUSH FOR HADOOP
9.17.4 ANALYST INSIGHT
9.18 APPISTRY, INC.
9.18.1 OVERVIEW
9.18.2 PRODUCTS & SERVICES
9.18.3 PUSH FOR HADOOP
9.18.4 ANALYST INSIGHT
9.19 TERADATA CORPORATION
9.19.1 OVERVIEW
9.19.2 PRODUCTS & SERVICES
9.19.3 PUSH FOR HADOOP
9.19.4 ANALYST INSIGHT
9.20 TALEND, INC.
9.20.1 OVERVIEW
9.20.2 PRODUCTS & SERVICES
9.20.3 PUSH FOR HADOOP
9.20.4 ANALYST INSIGHT
9.21 RAINSTOR
9.21.1 OVERVIEW
9.21.2 PRODUCTS & SERVICES
9.21.3 PUSH FOR HADOOP
9.21.4 ANALYST INSIGHTS
9.22 FUJITSU LTD.
9.22.1 OVERVIEW
9.22.2 PRODUCTS & SERVICES
9.22.3 PUSH FOR HADOOP
9.22.4 ANALYST INSIGHT
9.23 DATA DIRECT NETWORKS INC.
9.23.1 OVERVIEW
9.23.2 PRODUCTS & SERVICES
9.23.3 PUSH FOR HADOOP
9.23.4 ANALYST INSIGHT
9.24 NETAPP, INC.
9.24.1 OVERVIEW
9.24.2 PRODUCTS & SERVICES
9.24.3 PUSH FOR HADOOP
9.24.4 ANALYST INSIGHT
9.25 OTHER KEY INNOVATORS
9.25.1 ACTUATE CORPORATION
9.25.2 THINK BIG ANALYTICS
9.25.3 MARKLOGIC CORPORATION
9.25.4 STACKIQ
9.25.5 HYVE SOLUTIONS
9.25.6 REVOLUTION ANALYTICS
9.25.7 SILICON GRAPHICS INTERNATIONAL CORP
9.25.8 JASPERSOFT CORPORATION
9.25.9 SUPER MICRO COMPUTER INC
9.25.10 METASCALE
9.25.11 PAR ACCEL INC
9.25.12 PERVASIVE SOFTWARE INC
9.25.13 COUCHBASE
9.25.14 SPLUNK INC
9.25.15 CALPONT
9.25.16 MORTAR DATA INC
9.25.17 INFOCHIMPS INC
9.25.18 SUNGARD
9.25.19 DATASIFT

LIST OF TABLES

TABLE 1 HADOOP MARKET, BY GEOGRAPHY, 2012 – 2017 ($BILLION) 22
TABLE 2 GLOBAL BIG DATA MARKET, BY INDUSTRY, 2012 – 2017 ($BILLION) 28
TABLE 3 GLOBAL BIG DATA MARKET PROPORTION, BY INDUSTRY, 2012 - 2017 (%) 29
TABLE 4 GLOBAL BIG DATA MARKET, BY TYPES, 2012- 2017 ($BILLION) 30
TABLE 5 GLOBAL BIG DATA MARKET PROPORTION, BY TYPES, 2012 – 2017 (%) 31
TABLE 6 BIG DATA MARKET, BY GEOGRAPHY, 2012- 2017 ($BILLION) 32
TABLE 7 GLOBAL BIG DATA MARKET PROPORTION, BY REGION, 2012 – 2017 (Y-O-Y GROWTH %) 33
TABLE 8 GLOBAL HADOOP MARKET REVENUE, BY TYPES, 2012 – 2017 ($BILLION) 39
TABLE 9 GLOBAL HADOOP MARKET PROPORTION, BY TYPES, 2012 – 2017 (%) 40
TABLE 10 GLOBAL HADOOP MARKET, BY TYPES, 2012 – 2017 ($BILLION) 45
TABLE 11 HADOOP MARKET, BY TYPE, 2012 – 2017 (Y-O-Y GROWTH %) 46
TABLE 12 GLOBAL HADOOP MARKET, BY SOFTWARE TYPES, 2012 – 2017 ($BILLION) 46
TABLE 13 GLOBAL HADOOP MARKET PROPORTION, BY SOFTWARE TYPES, 2012 - 2017 (%) 47
TABLE 14 HADOOP MARKET, BY SOFTWARE TYPE, 2012 – 2017 (Y-O-Y GROWTH %) 48
TABLE 15 GLOBAL HADOOP MARKET, BY HARDWARE EQUIPMENTS, 2012 – 2017 ($BILLION) 50
TABLE 16 GLOBAL HADOOP MARKET PROPORTION, BY HARDWARE TYPES, 2012 – 2017 (%) 51
TABLE 17 GLOBAL HADOOP MARKET, BY STORAGE SIZE, 2012 – 2017 ($MILLION) 52
TABLE 18 GLOBAL HADOOP MARKET PROPORTION, BY STORAGE SIZE, 2012 – 2017 (%) 53
TABLE 19 GLOBAL HADOOP MARKET, BY SERVICES, 2012 – 2017 ($BILLION) 54
TABLE 20 GLOBAL HADOOP MARKET PROPORTION, BY SERVICES, 2012 - 2017 (%) 55
TABLE 21 HADOOP-AS-SERVICE MARKET, BY GEOGRAPHY, 2012 - 2017 ($MILLION) 66
TABLE 22 HADOOP-AS-A-SERVICE MARKET PROPORTION, BY GEOGRAPHY, 2012 - 2017 (%) 67
TABLE 23 HADOOP-AS- A SERVICE MARKET, BY REGION, 2012 – 2017 (Y-O-Y GROWTH %) 68
TABLE 24 GLOBAL HADOOP MARKET, BY INDUSTRY, 2012 – 2017 ($BILLION) 71
TABLE 25 HADOOP BFSI MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 73
TABLE 26 GLOBAL BFSI HADOOP MARKET, BY TYPE, 2012 – 2017 ($MILLION) 74
TABLE 27 HADOOP MANUFACTURING MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 75
TABLE 28 GLOBAL MANUFACTURING HADOOP MARKET, BY TYPE, 2012 – 2017 ($MILLION) 76
TABLE 29 HADOOP RETAIL MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 77
TABLE 30 GLOBAL RETAIL HADOOP MARKET, BY TYPE, 2012 – 2017 ($MILLION) 78
TABLE 31 HADOOP TELECOMMUNICATIONS MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 79
TABLE 32 GLOBAL TELECOMMUNICATION HADOOP MARKET, BY TYPE, 2012 – 2017 ($MILLION) 80
TABLE 33 HADOOP HEALTHCARE & LIFE SCIENCES MARKET, BY GEOGRAPHY, 2012 - 2017 ($MILLION) 81
TABLE 34 GLOBAL HEALTHCARE & LIFE-SCIENCES HADOOP MARKET, BY TYPE, 2012 – 2017 ($MILLION) 82
TABLE 35 HADOOP WEB MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 83
TABLE 36 GLOBAL WEB HADOOP MARKET, BY TYPE, 2012 – 2017 ($MILLION) 84
TABLE 37 HADOOP MEDIA & ENTERTAINMENT MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 85
TABLE 38 GLOBAL MEDIA & ENTERTAINMENT HADOOP MARKET, BY TYPE, 2012 – 2017 ($MILLION) 86
TABLE 39 HADOOP NATURAL RESOURCES (OIL & GAS) MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 87
TABLE 40 GLOBAL NATURAL RESOURCES (OIL & GAS) HADOOP MARKET, BY TYPE, 2012 – 2017 ($MILLION) 88
TABLE 41 HADOOP GOVT. & PUBLIC UTILITIES MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 89
TABLE 42 GOVT. & PUBLIC UTILITIES HADOOP MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 90
TABLE 43 HADOOP BI0-INFORMATICS MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 91
TABLE 44 BIO-INFORMATICS HADOOP MARKET, BY GEOGRAPHY, 2012 - 2017 ($MILLION) 92
TABLE 45 HADOOP UNIVERSITY RESEARCH & EDUCATION MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 93
TABLE 46 UNIVERSITY RESEARCH & EDUCATION HADOOP MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 94
TABLE 47 HADOOP IT & SECURITY MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 95
TABLE 48 IT & SECURITY HADOOP MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 96
TABLE 49 HADOOP GAMING MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 97
TABLE 50 GLOBAL GAMING HADOOP MARKET, BY TYPES, 2012 – 2017 ($MILLION) 98
TABLE 51 HADOOP TRANSPORTATION MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 100
TABLE 52 GLOBAL TRANSPORTATION HADOOP MARKET, BY TYPES, 2012 – 2017 ($MILLION) 101
TABLE 53 HADOOP OTHERS MARKET, BY GEOGRAPHY, 2012 – 2017 ($MILLION) 102
TABLE 54 GLOBAL OTHERS HADOOP MARKET, BY TYPES, 2012 – 2017 ($MILLION) 103
TABLE 55 HADOOP MARKET, BY GEOGRAPHY, 2012 – 2017 ($BILLION) 105
TABLE 56 NORTH AMERICA: HADOOP MARKET, BY TYPES, 2012 – 2017 ($MILLION) 106
TABLE 57 NORTH AMERICA: HADOOP MARKET, BY TYPE, 2012 – 2017 (Y-O-Y GROWTH %) 107
TABLE 58 NORTH AMERICA: HADOOP MARKET, BY HARDWARE TYPES, 2012 – 2017 ($MILLION) 107
TABLE 59 EUROPE: HADOOP MARKET, BY TYPES, 2012 – 2017 ($MILLION) 108
TABLE 60 EUROPE: HADOOP MARKET, BY TYPE, 2012 – 2017 (Y-O-Y GROWTH %) 109
TABLE 61 EUROPE: HADOOP MARKET, BY HARDWARE TYPES, 2012 – 2017 ($MILLION) 109
TABLE 62 MIDDLE EAST & AFRICA: HADOOP MARKET, BY TYPES, 2012 – 2017 ($MILLION) 110
TABLE 63 MEA HADOOP MARKET, BY TYPE, 2012–2017 (Y-O-Y GROWTH %) 111
TABLE 64 MIDDLE EAST & AFRICA: HADOOP MARKET BY HARDWARE TYPES, 2012 – 2017 ($MILLION) 111
TABLE 65 APAC: HADOOP MARKET, BY TYPES, 2012 – 2017 ($MILLION) 112
TABLE 66 APAC HADOOP MARKET, BY TYPE, 2012 – 2017 (Y-O-Y GROWTH %) 113
TABLE 67 APAC: HADOOP MARKET, BY HARDWARE TYPES, 2012 – 2017 ($MILLION) 113
TABLE 68 LATIN AMERICA: HADOOP MARKET, BY TYPES, 2012 – 2017 ($MILLION) 114
TABLE 69 LATIN AMERICA: HADOOP MARKET, BY TYPE, 2012 – 2017 (Y-O-Y GROWTH %) 115
TABLE 70 LATIN AMERICA: HADOOP MARKET, BY TYPES, 2012 – 2017 ($MILLION) 115
TABLE 71 MERGERS & ACQUISITION, 2009 – 2012 117
TABLE 72 COLLABORATION & JOINT VENTURES, 2008 – 2012 122
TABLE 73 VENTURE CAPITAL & FUNDING 129

LIST OF FIGURES

FIGURE 1 HADOOP MARKET, BY GEOGRAPHY, 2012 – 2017 ($BILLION) & Y-O-Y GROWTH (%) 23
FIGURE 2 BIG DATA ECOSYSTEM 27
FIGURE 3 HADOOP ECOSYSTEM 35
FIGURE 4 HADOOP STACK 36
FIGURE 5 HADOOP MARKET SEGMENTATION 38
FIGURE 6 GLOBAL HADOOP MARKET, 2012 – 2017, Y-O-Y GROWTH (%) 40








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Hadoop & Big Data Market [Hardware, Software, Services, Hadoop-as-a-Service] - Trends, Geographical Analysis & Worldwide Market Forecasts (2012 – 2017)

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SYS-CON Events announced today that Telecom Reseller has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms.
It is of utmost importance for the future success of WebRTC to ensure that interoperability is operational between web browsers and any WebRTC-compliant client. To be guaranteed as operational and effective, interoperability must be tested extensively by establishing WebRTC data and media connections between different web browsers running on different devices and operating systems. In his session at WebRTC Summit at @ThingsExpo, Dr. Alex Gouaillard, CEO and Founder of CoSMo Software, presented ...
WebRTC is great technology to build your own communication tools. It will be even more exciting experience it with advanced devices, such as a 360 Camera, 360 microphone, and a depth sensor camera. In his session at @ThingsExpo, Masashi Ganeko, a manager at INFOCOM Corporation, introduced two experimental projects from his team and what they learned from them. "Shotoku Tamago" uses the robot audition software HARK to track speakers in 360 video of a remote party. "Virtual Teleport" uses a multip...
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, whic...
SYS-CON Events announced today that Evatronix 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. Evatronix SA offers comprehensive solutions in the design and implementation of electronic systems, in CAD / CAM deployment, and also is a designer and manufacturer of advanced 3D scanners for professional applications.
Leading companies, from the Global Fortune 500 to the smallest companies, are adopting hybrid cloud as the path to business advantage. Hybrid cloud depends on cloud services and on-premises infrastructure working in unison. Successful implementations require new levels of data mobility, enabled by an automated and seamless flow across on-premises and cloud resources. In his general session at 21st Cloud Expo, Greg Tevis, an IBM Storage Software Technical Strategist and Customer Solution Architec...
To get the most out of their data, successful companies are not focusing on queries and data lakes, they are actively integrating analytics into their operations with a data-first application development approach. Real-time adjustments to improve revenues, reduce costs, or mitigate risk rely on applications that minimize latency on a variety of data sources. In his session at @BigDataExpo, Jack Norris, Senior Vice President, Data and Applications at MapR Technologies, reviewed best practices to ...
An increasing number of companies are creating products that combine data with analytical capabilities. Running interactive queries on Big Data requires complex architectures to store and query data effectively, typically involving data streams, an choosing efficient file format/database and multiple independent systems that are tied together through custom-engineered pipelines. In his session at @BigDataExpo at @ThingsExpo, Tomer Levi, a senior software engineer at Intel’s Advanced Analytics gr...