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The Big Data Market: 2014 - 2020 - Characteristics, Architecture, Technologies, Research Activities

. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections.
MarketsandMarkets™ | 12.04.2016

The Big Data Market: 2014 - 2020 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts Size and Share Published in 2014-06-11 Available for US$ 2500 at Researchmoz.us

Description

Big Data
originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems.

Amid the proliferation of real time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to R&D.

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for nearly $30 Billion in 2014 alone. These investments are further expected to grow at a CAGR of 17% over the next 6 years.

The “Big Data Market: 2014 – 2020 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor market share and strategies.

The report also presents market size forecasts for Big Data hardware, software and professional services from 2014 through to 2020. Historical figures are also presented for 2010, 2011, 2012 and 2013. The forecasts are further segmented for 8 horizontal submarkets, 15 vertical markets, 6 regions and 34 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Key Findings:

The report has the following key findings:

In 2014 Big Data vendors will pocket nearly $30 Billion from hardware, software and professional services revenues

Big Data investments are further expected to grow at a CAGR of nearly 17% over the next 6 years, eventually accounting for $76 Billion by the end of 2020

The market is ripe for acquisitions of pure-play Big Data startups, as competition heats up between IT incumbents

Nearly every large scale IT vendor maintains a Big Data portfolio

At present, hardware sales and professional services account for more than 70% of all Big Data investments

Going forward, software vendors, particularly those in the Big Data analytics segment, are expected to significantly increase their stake in the Big Data market as it matures

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Topics Covered:

The report covers the following topics:

Big Data ecosystem

Market drivers and barriers

Big Data technology, standardization and regulatory initiatives

Big Data industry roadmap and value chain

Analysis and use cases for 15 vertical markets

Big Data analytics technology and case studies

Big Data vendor market share

Company profiles and strategies of 90 Big Data ecosystem players

Strategic recommendations for Big Data hardware, software and professional services vendors and enterprises

Exclusive interview transcripts of 4 players in the Big Data ecosystem

Market analysis and forecasts from 2014 till 2020

Forecast Segmentation:

Market forecasts and historical figures are provided for each of the following submarkets and their categories:

Hardware, Software & Professional Services

Hardware

Software

Professional Services

Horizontal Submarkets

Storage & Compute Infrastructure

Networking Infrastructure

Hadoop & Infrastructure Software

SQL

NoSQL

Analytic Platforms & Applications

Cloud Platforms

Professional Services

Vertical Submarkets

Automotive, Aerospace & Transportation

Banking & Securities

Defense & Intelligence

Education

Healthcare & Pharmaceutical

Smart Cities & Intelligent Buildings

Insurance

Manufacturing & Natural Resources

Web, Media & Entertainment

Public Safety & Homeland Security

Public Services

Retail & Hospitality

Telecommunications

Utilities & Energy

Wholesale Trade

Others

Regional Markets

Asia Pacific

Eastern Europe

Latin & Central America

Middle East & Africa

North America

Western Europe

Country Markets

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK, USA

Key Questions Answered:

The report provides answers to the following key questions:

How big is the Big Data ecosystem?

How is the ecosystem evolving by segment and region?

What will the market size be in 2020 and at what rate will it grow?

What trends, challenges and barriers are influencing its growth?

Who are the key Big Data software, hardware and services vendors and what are their strategies?

How much are vertical enterprises investing in Big Data?

What opportunities exist for Big Data analytics?

Which countries and verticals will see the highest percentage of Big Data investments?

List of Companies Mentioned:

The following companies and organizations have been reviewed, discussed or mentioned in the report:

1010data

Accel Partners

Accenture

Actian Corporation

Actuate Corporation

adMarketplace

Adobe

ADP

AeroSpike

AlchemyDB

Aldeasa

Alpine Data Labs

Alteryx

Amazon.com

AMD

AnalyticsIQ

Antic Entertainment

AOL

Apple

AppNexus

Ascendas

AT&T

Attivio

AutoZone

Avvasi

AWS (Amazon Web Services)

Axiata Group

Bank of America

Basho

Beeline Kazakhstan

Betfair

BlueKai

Bluelock

BMC Software

BMW

Boeing

Booz Allen Hamilton

Box, Inc.

Buffalo Studios

BurstaBit

CaixaTarragona

Capgemini

Cellwize

CenturyLink

Chang

China Telecom

CIA (Central Intelligence Agency)

Cisco Systems

Citywire

Cloudera

Coca-Cola

Comptel

Concur

Contexti

Coriant

Couchbase

CSA (Cloud Security Alliance)

CSC (Computer Science Corporation)

CSCC (Cloud Standards Customer Council)

Datameer

DataStax

DDN (DataDirect Network)

Dell

Deloitte

Delta

Department of Commerce

Deutsche Bank

Deutsche Telekom

Digital Reasoning

Dollar General

Dotomi

eBay

El Corte Inglés

Electronic Arts

EMC Corporation

Equifax

Ericsson

Ernst & Young

E-Touch

European Space Agency

eXelate

Experian

Facebook

FedEx

Ferguson

Ford

Fractal Analytics

Fujitsu

Fusion-io

Gamegos

Ganz

GE (General Electric)

Goldman Sachs

GoodData Corporation

Google

Greylock Partners

GTRI (Georgia Tech Research Institute)

Guavus

Hadapt

HDS (Hitachi Data Systems)

Hortonworks

HP

Hyve Solutions

IBM

IEC (International Electrotechnical Commission)

Ignition Partners

InfiniDB

Infobright

Informatica Corporation

Information Builders

In-Q-Tel

Intel

Internap Network Services Corporation

Intucell

Inversis Banco

ISO (International Organization for Standardization)

ITT Corporation

ITU (International Telecommunications Union)

J.P. Morgan

Jaspersoft

Johnson & Johnson

JP Morgan

Juguettos

Juniper Networks

Kabam

Karmasphere

KDDI

Kixeye

Kobo

Kognitio

KPMG

KT (Korea Telecom)

Lavastorm Analytics

LG CNS

LinkedIn

LucidWorks

Mahindra Satyam

MapR

MarkLogic

Marriott International

Mayfield fund

McDonnell Ventures

McGraw Hill Education

MediaMind

Meritech Capital Partners

Microsoft

MicroStrategy

mig33

MongoDB

Motorola

Movistar

Mu Sigma

Myrrix

Nami Media

Navteq

Neo Technology

NetApp

NetFlix

Nexon

NIST (National Institute of Standards and Technology)

North Bridge

NTT Data

NTT DoCoMo

NYSE (New York Stock Exchange)

OASIS

ODaF (Open Data Foundation)

Open Data Center Alliance

Opera Solutions

Oracle

Orange

Orbitz

Palantir Technologies

Panorama Software

ParAccel

ParStream

Pentaho

Pervasive Software

Pivotal Software

Platfora

Playtika

Pokemon

Proctor and Gamble

Pronovias

PwC

QlikTech

Quantum Corporation

Quiterian

Rackspace

RainStor

Relational Technology

Renault

ReNet Tecnologia

Rentrak

Revolution Analytics

RiteAid

Robi Axiata

Royal Dutch Shell

Sabre

Sailthru

Sain Engineering

Salesforce.com

Samsung

SAP

SAS Institute

Savvis

Scoreloop

Seagate Technology

SGI

Shuffle Master

Simba Technologies

SiSense

Skyscanner

SmugMug

Snapdeal

Software AG

Sojo Studios

SolveDirect

Sony

Southern States Cooperative

Splunk

Spotme

Sqrrl

Starbucks

Supermicro

Tableau Software

Talend

Tango

TapJoy

TCS (Tata Consultancy Services)

Telefónica

Tencent

Teradata

Terracotta

Terremark

The Hut Group

The Knot

The Ladders

The Trade Desk

Think Big Analytics

Thomson Reuters

TIBCO Software

Tidemark

TubeMogul

Tunewiki

U.S. Air Force

U.S. Army

U.S. Navy

Ubiquisys

UBS

Umami TV

UN (United Nations)

Unilever

US Xpress

Venture Partners

Verizon

Versant

Vertica

VIMPELCOM

VMware (EMC Subsidiary)

VNG

Vodafone

Volkswagen

Walt Disney Company

WIND Mobile

WiPro

Xclaim

Xyratex

Yael Software

Zettics

Zynga

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Table of Content


Chapter 1: Introduction

1.1 Executive Summary

1.2 Topics Covered

1.3 Historical Revenue & Forecast Segmentation

1.4 Key Questions Answered

1.5 Key Findings

1.6 Methodology

1.7 Target Audience

1.8 Companies & Organizations Mentioned

Chapter 2: An Overview of Big Data

2.1 What is Big Data?

2.2 Approaches to Big Data Processing

2.2.1 Hadoop

2.2.2 NoSQL

2.2.3 MPAD (Massively Parallel Analytic Databases)

2.2.4 Others & Analytic Technologies

2.3 Key Characteristics of Big Data

2.3.1 Volume

2.3.2 Velocity

2.3.3 Variety

2.3.4 Value

2.4 Market Growth Drivers

2.4.1 Awareness of Benefits

2.4.2 Maturation of Big Data Platforms

2.4.3 Continued Investments by Web Giants, Governments & Enterprises

2.4.4 Growth of Data Volume, Velocity & Variety

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