The Big Data Market: 2016 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts

Code: SNS-106 | Published: Jun-2016 | Pages: 390 | SNS Research
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“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 scientific 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 over $46 Billion in 2016 alone. These investments are further expected to grow at a CAGR of 12% over the next four years.

The “Big Data Market: 2016 – 2030 – 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 2016 through to 2030. The forecasts are further segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

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

Table of Contents


Chapter 1: Introduction
Executive Summary
Topics Covered
Historical Revenue & Forecast Segmentation
Key Questions Answered
Key Findings
Methodology
Target Audience
Companies & Organizations Mentioned

Chapter 2: An Overview of Big Data
What is Big Data?
Key Approaches to Big Data Processing
Hadoop
NoSQL
MPAD (Massively Parallel Analytic Databases)
In-memory Processing
Stream Processing Technologies
Spark
Other Databases & Analytic Technologies
Key Characteristics of Big Data
Volume
Velocity
Variety
Value
Market Growth Drivers
Awareness of Benefits
Maturation of Big Data Platforms
Continued Investments by Web Giants, Governments & Enterprises
Growth of Data Volume, Velocity & Variety
Vendor Commitments & Partnerships
Technology Trends Lowering Entry Barriers
Market Barriers
Lack of Analytic Specialists
Uncertain Big Data Strategies
Organizational Resistance to Big Data Adoption
Technical Challenges: Scalability & Maintenance
Security & Privacy Concerns

Chapter 3: Big Data Analytics
What are Big Data Analytics?
The Importance of Analytics
Reactive vs. Proactive Analytics
Customer vs. Operational Analytics
Technology & Implementation Approaches
Grid Computing
In-Database Processing
In-Memory Analytics
Machine Learning & Data Mining
Predictive Analytics
NLP (Natural Language Processing)
Text Analytics
Visual Analytics
Social Media, IT & Telco Network Analytics

Chapter 4: Big Data in Automotive, Aerospace & Transportation
Overview & Investment Potential
Key Applications
Warranty Analytics for Automotive OEMs
Predictive Aircraft Maintenance & Fuel Optimization
Air Traffic Control
Transport Fleet Optimization
Case Studies
Boeing: Making Flying More Efficient with Big Data
BMW: Eliminating Defects in New Vehicle Models with Big Data
Toyota Motor Corporation: Powering Smart Cars with Big Data
Ford Motor Company: Making Efficient Transportation Decisions with Big Data

Chapter 5: Big Data in Banking & Securities
Overview & Investment Potential
Key Applications
Customer Retention & Personalized Product Offering
Risk Management
Fraud Detection
Credit Scoring
Case Studies
HSBC Group: Avoiding Regulatory Penalties with Big Data
JPMorgan Chase & Co.: Improving Business Processes with Big Data
OTP Bank: Reducing Loan Defaults with Big Data
CBA (Commonwealth Bank of Australia): Providing Personalized Services with Big Data

Chapter 6: Big Data in Defense & Intelligence
Overview & Investment Potential
Key Applications
Intelligence Gathering
Battlefield Analytics
Energy Saving Opportunities in the Battlefield
Preventing Injuries on the Battlefield
Case Studies
U.S. Air Force: Providing Actionable Intelligence to Warfighters with Big Data
Royal Navy: Empowering Submarine Warfare with Big Data
NSA (National Security Agency): Capitalizing on Big Data to Detect Threats
Chinese Ministry of State Security: Predictive Policing with Big Data
French DGSE (General Directorate for External Security): Enhancing Intelligence with Big Data

Chapter 7: Big Data in Education
Overview & Investment Potential
Key Applications
Information Integration
Identifying Learning Patterns
Enabling Student-Directed Learning
Case Studies
Purdue University: Ensuring Successful Higher Education Outcomes with Big Data
Nottingham Trent University: Successful Student Outcomes with Big Data
Edith Cowen University: Increasing Student Retention with Big Data

Chapter 8: Big Data in Healthcare & Pharma
Overview & Investment Potential
Key Applications
Managing Population Health Efficiently
Improving Patient Care with Medical Data Analytics
Improving Clinical Development & Trials
Drug Development: Improving Time to Market
Case Studies
Novartis: Digitizing Healthcare with Big Data
GSK (GlaxoSmithKline): Accelerating Drug Discovering with Big Data
Pfizer: Developing Effective and Targeted Therapies with Big Data
Roche: Personalizing Healthcare with Big Data
Sanofi: Proactive Diabetes Care with Big Data

Chapter 9: Big Data in Smart Cities & Intelligent Buildings
Overview & Investment Potential
Key Applications
Energy Optimization & Fault Detection
Intelligent Building Analytics
Urban Transportation Management
Optimizing Energy Production
Water Management
Urban Waste Management
Case Studies
Singapore: Building a Smart Nation with Big Data
Glasgow City Council: Promoting Smart City Efforts with Big Data
OVG Real Estate: Powering the World’s Most Intelligent Building with Big Data

Chapter 10: Big Data in Insurance
Overview & Investment Potential
Key Applications
Claims Fraud Mitigation
Customer Retention & Profiling
Risk Management
Case Studies
Zurich Insurance Group: Enhancing Risk Management with Big Data
RSA Group: Improving Customer Relations with Big Data
Primerica: Improving Insurance Sales Force Productivity with Big Data

Chapter 11: Big Data in Manufacturing & Natural Resources
Overview & Investment Potential
Key Applications
Asset Maintenance & Downtime Reduction
Quality & Environmental Impact Control
Optimized Supply Chain
Exploration & Identification of Natural Resources
Case Studies
Intel Corporation: Cutting Manufacturing Costs with Big Data
Dow Chemical Company: Optimizing Chemical Manufacturing with Big Data
Michelin: Improving the Efficiency of Supply Chain and Manufacturing with Big Data
Brunei: Saving Natural Resources with Big Data

Chapter 12: Big Data in Web, Media & Entertainment
Overview & Investment Potential
Key Applications
Audience & Advertising Optimization
Channel Optimization
Recommendation Engines
Optimized Search
Live Sports Event Analytics
Outsourcing Big Data Analytics to Other Verticals
Case Studies
NFL (National Football League): Improving Stadium Experience with Big Data
Walt Disney Company: Enhancing Theme Park Experience with Big Data
Baidu: Reshaping Search Capabilities with Big Data
Constant Contact: Effective Marketing with Big Data

Chapter 13: Big Data in Public Safety & Homeland Security
Overview & Investment Potential
Key Applications
Cyber Crime Mitigation
Crime Prediction Analytics
Video Analytics & Situational Awareness
Case Studies
U.S. DHS (Department of Homeland Security): Identifying Threats to Physical and Network Infrastructure with Big Data
Dubai Police: Locating Wanted Vehicles More Efficiently with Big Data
Memphis Police Department: Crime Reduction with Big Data

Chapter 14: Big Data in Public Services
Overview & Investment Potential
Key Applications
Public Sentiment Analysis
Tax Collection & Fraud Detection
Economic Analysis
Case Studies
New York State Department of Taxation and Finance: Increasing Tax Revenue with Big Data
Alameda County Social Services Agency: Benefit Fraud Reduction with Big Data
City of Chicago: Improving Government Productivity with Big Data
FDNY (Fire Department of the City of New York): Fighting Fires with Big Data
Ambulance Victoria: Improving Patient Survival Rates with Big Data

Chapter 15: Big Data in Retail, Wholesale & Hospitality
Overview & Investment Potential
Key Applications
Customer Sentiment Analysis
Customer & Branch Segmentation
Price Optimization
Personalized Marketing
Optimizing & Monitoring the Supply Chain
In-field Sales Analytics
Case Studies
Walmart: Making Smarter Stocking Decision with Big Data
Tesco: Reducing Supermarket Energy Bills with Big Data
Marriott International: Elevating Guest Services with Big Data
JJ Food Service: Predictive Wholesale Shopping Lists with Big Data

Chapter 16: Big Data in Telecommunications
Overview & Investment Potential
Key Applications
Network Performance & Coverage Optimization
Customer Churn Prevention
Personalized Marketing
Tailored Location Based Services
Fraud Detection
Case Studies
BT Group: Hunting Down Nuisance Callers with Big Data
AT&T: Smart Network Management with Big Data
T-Mobile USA: Cutting Down Churn Rate with Big Data
TEOCO: Helping Service Providers Save Millions with Big Data
WIND Mobile: Optimizing Video Quality with Big Data
Coriant: SaaS Based Analytics with Big Data

Chapter 17: Big Data in Utilities & Energy
Overview & Investment Potential
Key Applications
Customer Retention
Forecasting Energy
Billing Analytics
Predictive Maintenance
Maximizing the Potential of Drilling
Production Optimization
Case Studies
Royal Dutch Shell: Developing Data-Driven Oil Fields with Big Data
British Gas: Improving Customer Service with Big Data
Oncor Electric Delivery: Intelligent Power Grid Management with Big Data

Chapter 18: Big Data Industry Roadmap & Value Chain
Big Data Industry Roadmap
2010 – 2013: Initial Hype and the Rise of Analytics
2014 – 2017: Emergence of SaaS Based Big Data Solutions
2018 – 2020: Growing Adoption of Scalable Machine Learning
2021 & Beyond: Widespread Investments on Cognitive & Personalized Analytics
The Big Data Value Chain
Hardware Providers
Storage & Compute Infrastructure Providers
Networking Infrastructure Providers
Software Providers
Hadoop & Infrastructure Software Providers
SQL & NoSQL Providers
Analytic Platform & Application Software Providers
Cloud Platform Providers
Professional Services Providers
End-to-End Solution Providers
Vertical Enterprises

Chapter 19: Standardization & Regulatory Initiatives
CSCC (Cloud Standards Customer Council) – Big Data Working Group
NIST (National Institute of Standards and Technology) – Big Data Working Group
OASIS –Technical Committees
ODaF (Open Data Foundation)
Open Data Center Alliance
CSA (Cloud Security Alliance) – Big Data Working Group
ITU (International Telecommunications Union)
ISO (International Organization for Standardization) and Others

Chapter 20: Market Analysis & Forecasts
Global Outlook of the Big Data Market
Submarket Segmentation
Storage and Compute Infrastructure
Networking Infrastructure
Hadoop & Infrastructure Software
SQL
NoSQL
Analytic Platforms & Applications
Cloud Platforms
Professional Services
Vertical Market Segmentation
Automotive, Aerospace & Transportation
Banking & Securities
Defense & Intelligence
Education
Healthcare & Pharmaceutical
Smart Cities & Intelligent Buildings
Insurance
Manufacturing & Natural Resources
Media & Entertainment
Public Safety & Homeland Security
Public Services
Retail, Wholesale & Hospitality
Telecommunications
Utilities & Energy
Other Sectors
Regional Outlook
Asia Pacific
Country Level Segmentation
Australia
China
India
Indonesia
Japan
Malaysia
Pakistan
Philippines
Singapore
South Korea
Taiwan
Thailand
Rest of Asia Pacific
Eastern Europe
Country Level Segmentation
Czech Republic
Poland
Russia
Rest of Eastern Europe
Latin & Central America
Country Level Segmentation
Argentina
Brazil
Mexico
Rest of Latin & Central America
Middle East & Africa
Country Level Segmentation
Israel
Qatar
Saudi Arabia
South Africa
UAE
Rest of the Middle East & Africa
North America
Country Level Segmentation
Canada
USA
Western Europe
Country Level Segmentation
Denmark
Finland
France
Germany
Italy
Netherlands
Norway
Spain
Sweden
UK
Rest of Western Europe

Chapter 21: Vendor Landscape
1010data
Accenture
Actian Corporation
Actuate Corporation
Adaptive Insights
Advizor Solutions
AeroSpike
AFS Technologies
Alpine Data Labs
Alteryx
Altiscale
Antivia
Arcplan
Attivio
Automated Insights
AWS (Amazon Web Services)
Ayasdi
Basho
BeyondCore
Birst
Bitam
Board International
Booz Allen Hamilton
Capgemini
Cellwize
Centrifuge Systems
CenturyLink
Chartio
Cisco Systems
ClearStory Data
Cloudera
Comptel
Concurrent
Contexti
Couchbase
CSC (Computer Science Corporation)
DataHero
Datameer
DataRPM
DataStax
Datawatch Corporation
DDN (DataDirect Network)
Decisyon
Dell
Deloitte
Denodo Technologies
Digital Reasoning
Dimensional Insight
Domo
Dundas Data Visualization
Eligotech
EMC Corporation
Engineering Group (Engineering Ingegneria Informatica)
eQ Technologic
Facebook
FICO
Fractal Analytics
Fujitsu
Fusion-io
GE (General Electric)
GoodData Corporation
Google
Guavus
HDS (Hitachi Data Systems)
Hortonworks
HPE (Hewlett Packard Enterprise)
IBM
iDashboards
Incorta
InetSoft Technology Corporation
InfiniDB
Infor
Informatica Corporation
Information Builders
Intel
Jedox
Jinfonet Software
Juniper Networks
Knime
Kofax
Kognitio
L-3 Communications
Lavastorm Analytics
Logi Analytics
Looker Data Sciences
LucidWorks
Maana
Manthan Software Services
MapR
MarkLogic
MemSQL
Microsoft
MicroStrategy
MongoDB (formerly 10gen)
Mu Sigma
NTT Data
Neo Technology
NetApp
Nutonian
OpenText Corporation
Opera Solutions
Oracle
Palantir Technologies
Panorama Software
ParStream
Pentaho
Phocas
Pivotal Software
Platfora
Prognoz
PwC
Pyramid Analytics
Qlik
Quantum Corporation
Qubole
Rackspace
RapidMiner
Recorded Future
RJMetrics
Salesforce.com
Sailthru
Salient Management Company
SAP
SAS Institute
SGI
SiSense
Software AG
Splice Machine
Splunk
Sqrrl
Strategy Companion
Supermicro
Syncsort
SynerScope
Tableau Software
Talend
Targit
TCS (Tata Consultancy Services)
Teradata
Think Big Analytics
ThoughtSpot
TIBCO Software
Tidemark
VMware (EMC Subsidiary)
WiPro
Yellowfin International
Zendesk
Zettics
Zoomdata
Zucchetti

Chapter 22: Conclusion & Strategic Recommendations
Big Data Technology: Beyond Data Capture & Analytics
Transforming IT from a Cost Center to a Profit Center
Can Privacy Implications Hinder Success?
Will Regulation have a Negative Impact on Big Data Investments?
Battling Organization & Data Silos
Software vs. Hardware Investments
Vendor Share: Who Leads the Market?
Big Data Driving Wider IT Industry Investments
Assessing the Impact of IoT & M2M
Recommendations
Big Data Hardware, Software & Professional Services Providers
Enterprises

List of Figure


Figure 1: Reactive vs. Proactive Analytics
Figure 2: Big Data Industry Roadmap
Figure 3: The Big Data Value Chain
Figure 4: Global Big Data Revenue: 2016 - 2030 ($ Million)
Figure 5: Global Big Data Revenue by Submarket: 2016 - 2030 ($ Million)
Figure 6: Global Big Data Storage and Compute Infrastructure Submarket Revenue: 2016 - 2030 ($ Million)
Figure 7: Global Big Data Networking Infrastructure Submarket Revenue: 2016 - 2030 ($ Million)
Figure 8: Global Big Data Hadoop & Infrastructure Software Submarket Revenue: 2016 - 2030 ($ Million)
Figure 9: Global Big Data SQL Submarket Revenue: 2016 - 2030 ($ Million)
Figure 10: Global Big Data NoSQL Submarket Revenue: 2016 - 2030 ($ Million)
Figure 11: Global Big Data Analytic Platforms & Applications Submarket Revenue: 2016 - 2030 ($ Million)
Figure 12: Global Big Data Cloud Platforms Submarket Revenue: 2016 - 2030 ($ Million)
Figure 13: Global Big Data Professional Services Submarket Revenue: 2016 - 2030 ($ Million)
Figure 14: Global Big Data Revenue by Vertical Market: 2016 - 2030 ($ Million)
Figure 15: Global Big Data Revenue in the Automotive, Aerospace & Transportation Sector: 2016 - 2030 ($ Million)
Figure 16: Global Big Data Revenue in the Banking & Securities Sector: 2016 - 2030 ($ Million)
Figure 17: Global Big Data Revenue in the Defense & Intelligence Sector: 2016 - 2030 ($ Million)
Figure 18: Global Big Data Revenue in the Education Sector: 2016 - 2030 ($ Million)
Figure 19: Global Big Data Revenue in the Healthcare & Pharmaceutical Sector: 2016 - 2030 ($ Million)
Figure 20: Global Big Data Revenue in the Smart Cities & Intelligent Buildings Sector: 2016 - 2030 ($ Million)
Figure 21: Global Big Data Revenue in the Insurance Sector: 2016 - 2030 ($ Million)
Figure 22: Global Big Data Revenue in the Manufacturing & Natural Resources Sector: 2016 - 2030 ($ Million)
Figure 23: Global Big Data Revenue in the Media & Entertainment Sector: 2016 - 2030 ($ Million)
Figure 24: Global Big Data Revenue in the Public Safety & Homeland Security Sector: 2016 - 2030 ($ Million)
Figure 25: Global Big Data Revenue in the Public Services Sector: 2016 - 2030 ($ Million)
Figure 26: Global Big Data Revenue in the Retail, Wholesale & Hospitality Sector: 2016 - 2030 ($ Million)
Figure 27: Global Big Data Revenue in the Telecommunications Sector: 2016 - 2030 ($ Million)
Figure 28: Global Big Data Revenue in the Utilities & Energy Sector: 2016 - 2030 ($ Million)
Figure 29: Global Big Data Revenue in Other Vertical Sectors: 2016 - 2030 ($ Million)
Figure 30: Big Data Revenue by Region: 2016 - 2030 ($ Million)
Figure 31: Asia Pacific Big Data Revenue: 2016 - 2030 ($ Million)
Figure 32: Asia Pacific Big Data Revenue by Country: 2016 - 2030 ($ Million)
Figure 33: Australia Big Data Revenue: 2016 - 2030 ($ Million)
Figure 34: China Big Data Revenue: 2016 - 2030 ($ Million)
Figure 35: India Big Data Revenue: 2016 - 2030 ($ Million)
Figure 36: Indonesia Big Data Revenue: 2016 - 2030 ($ Million)
Figure 37: Japan Big Data Revenue: 2016 - 2030 ($ Million)
Figure 38: Malaysia Big Data Revenue: 2016 - 2030 ($ Million)
Figure 39: Pakistan Big Data Revenue: 2016 - 2030 ($ Million)
Figure 40: Philippines Big Data Revenue: 2016 - 2030 ($ Million)
Figure 41: Singapore Big Data Revenue: 2016 - 2030 ($ Million)
Figure 42: South Korea Big Data Revenue: 2016 - 2030 ($ Million)
Figure 43: Taiwan Big Data Revenue: 2016 - 2030 ($ Million)
Figure 44: Thailand Big Data Revenue: 2016 - 2030 ($ Million)
Figure 45: Big Data Revenue in the Rest of Asia Pacific: 2016 - 2030 ($ Million)
Figure 46: Eastern Europe Big Data Revenue: 2016 - 2030 ($ Million)
Figure 47: Eastern Europe Big Data Revenue by Country: 2016 - 2030 ($ Million)
Figure 48: Czech Republic Big Data Revenue: 2016 - 2030 ($ Million)
Figure 49: Poland Big Data Revenue: 2016 - 2030 ($ Million)
Figure 50: Russia Big Data Revenue: 2016 - 2030 ($ Million)
Figure 51: Big Data Revenue in the Rest of Eastern Europe: 2016 - 2030 ($ Million)
Figure 52: Latin & Central America Big Data Revenue: 2016 - 2030 ($ Million)
Figure 53: Latin & Central America Big Data Revenue by Country: 2016 - 2030 ($ Million)
Figure 54: Argentina Big Data Revenue: 2016 - 2030 ($ Million)
Figure 55: Brazil Big Data Revenue: 2016 - 2030 ($ Million)
Figure 56: Mexico Big Data Revenue: 2016 - 2030 ($ Million)
Figure 57: Big Data Revenue in the Rest of Latin & Central America: 2016 - 2030 ($ Million)
Figure 58: Middle East & Africa Big Data Revenue: 2016 - 2030 ($ Million)
Figure 59: Middle East & Africa Big Data Revenue by Country: 2016 - 2030 ($ Million)
Figure 60: Israel Big Data Revenue: 2016 - 2030 ($ Million)
Figure 61: Qatar Big Data Revenue: 2016 - 2030 ($ Million)
Figure 62: Saudi Arabia Big Data Revenue: 2016 - 2030 ($ Million)
Figure 63: South Africa Big Data Revenue: 2016 - 2030 ($ Million)
Figure 64: UAE Big Data Revenue: 2016 - 2030 ($ Million)
Figure 65: Big Data Revenue in the Rest of the Middle East & Africa: 2016 - 2030 ($ Million)
Figure 66: North America Big Data Revenue: 2016 - 2030 ($ Million)
Figure 67: North America Big Data Revenue by Country: 2016 - 2030 ($ Million)
Figure 68: Canada Big Data Revenue: 2016 - 2030 ($ Million)
Figure 69: USA Big Data Revenue: 2016 - 2030 ($ Million)
Figure 70: Western Europe Big Data Revenue: 2016 - 2030 ($ Million)
Figure 71: Western Europe Big Data Revenue by Country: 2016 - 2030 ($ Million)
Figure 72: Denmark Big Data Revenue: 2016 - 2030 ($ Million)
Figure 73: Finland Big Data Revenue: 2016 - 2030 ($ Million)
Figure 74: France Big Data Revenue: 2016 - 2030 ($ Million)
Figure 75: Germany Big Data Revenue: 2016 - 2030 ($ Million)
Figure 76: Italy Big Data Revenue: 2016 - 2030 ($ Million)
Figure 77: Netherlands Big Data Revenue: 2016 - 2030 ($ Million)
Figure 78: Norway Big Data Revenue: 2016 - 2030 ($ Million)
Figure 79: Spain Big Data Revenue: 2016 - 2030 ($ Million)
Figure 80: Sweden Big Data Revenue: 2016 - 2030 ($ Million)
Figure 81: UK Big Data Revenue: 2016 - 2030 ($ Million)
Figure 82: Big Data Revenue in the Rest of Western Europe: 2016 - 2030 ($ Million)
Figure 83: Global Big Data Revenue by Hardware, Software & Professional Services: 2016 – 2030 ($ Million)
Figure 84: Big Data Vendor Market Share (%)
Figure 85: Global IT Expenditure Driven by Big Data Investments: 2016 - 2030 ($ Million)
Figure 86: Global M2M Connections by Access Technology: 2016 – 2030 (Millions)

Companies Mentioned


1010data
Accel Partners
Accenture
Actian Corporation
Actuate Corporation
Adaptive Insights
adMarketplace
Adobe
ADP
Advizor Solutions
AeroSpike
AFS Technologies
Alameda County Social Services Agency
AlchemyDB
Aldeasa
Alpine Data Labs
Alteryx
Altiscale
Altosoft
Amazon.com
Ambulance Victoria
AMD
AnalyticsIQ
Antic Entertainment
Antivia
AOL
Apple
AppNexus
Arcplan
Ascendas
AT&T
Attivio
Automated Insights
AutoZone
Avvasi
AWS (Amazon Web Services)
Axiata Group
Ayasdi
BAE Systems
Baidu
Bank of America
Basho
Beeline Kazakhstan
Betfair
BeyondCore
Birst
Bitam
BlueKai
Bluelock 
BMC Software
BMW
Board International
Boeing
Booz Allen Hamilton
Box
British Gas
BT Group
Buffalo Studios
BurstaBit
CaixaTarragona
Capgemini
CBA (Commonwealth Bank of Australia)
Cellwize
Centrifuge Systems
CenturyLink
CETC (China Electronics Technology Group)
Chang
Chartio
Chevron Technology Ventures
China Telecom
Chinese Ministry of State Security
CIA (Central Intelligence Agency)
Cisco Systems
Citywire
ClearStory Data
Cloudera
Coca-Cola
Comptel
Concur
Concurrent
Constant Contact
Contexti
Coriant
Couchbase
CSA (Cloud Security Alliance)
CSC (Computer Science Corporation)
CSCC (Cloud Standards Customer Council)
DataHero
Datameer
DataRPM
DataStax
Datawatch Corporation
DDN (DataDirect Network)
Decisyon
Dell
Deloitte
Delta
Denodo Technologies
Deutsche Bank
Digital Reasoning
Dimensional Insight
Dollar General 
Domo
Dotomi
Dow Chemical Company
DT (Deutsche Telekom)
Dubai Police
Dundas Data Visualization
eBay
Edith Cowen University
El Corte Inglés
Electronic Arts
Eligotech
EMC Corporation
Engineering Group (Engineering Ingegneria Informatica)
eQ Technologic
Equifax
Ericsson
Ernst & Young 
E-Touch
European Space Agency
eXelate
Experian
Facebook
FDNY (Fire Department of the City of New York)
FedEx
Ferguson Enterprises
FICO
Ford Motor Company
Foundation Medicine
Fractal Analytics
French DGSE (General Directorate for External Security)
Fujitsu
Fusion-io
Gamegos
Ganz
GE (General Electric)
Glasgow City Council
Goldman Sachs
GoodData Corporation
Google
Greylock Partners
GSK (GlaxoSmithKline)
GTRI (Georgia Tech Research Institute) 
Guavus
Hadapt
HDS (Hitachi Data Systems)
Hortonworks
HPE (Hewlett Packard Enterprise)
HSBC Group
Hyve Solutions
IBM
iDashboards
IEC (International Electrotechnical Commission)
Ignition Partners 
Incorta
InetSoft Technology Corporation
InfiniDB
Infobright
Infor
Informatica Corporation
Information Builders
In-Q-Tel
Intel Corporation
Internap Network Services Corporation
Intucell
Inversis Banco
ISO (International Organization for Standardization)
ITT Corporation
ITU (International Telecommunications Union)
J.P. Morgan
Jaspersoft
Jedox
Jinfonet Software
JJ Food Service
Johnson & Johnson
JPMorgan Chase & Co.
Juguettos
Juniper Networks
Kabam 
Karmasphere
KDDI
Kixeye 
Knime
Kobo
Kofax
Kognitio
KPMG
KT (Korea Telecom)
L-3 Communications
L-3 Data Tactics
Lavastorm Analytics
LG CNS
LinkedIn
Logi Analytics
Logos Technologies
Looker Data Sciences
LucidWorks
Maana
Mahindra Satyam
Manthan Software Services
MapR
MarkLogic
Marriott International
Mayfield fund
McDonnell Ventures
McGraw Hill Education
MediaMind
Memphis Police Department
MemSQL
Meritech Capital Partners
Michelin
Microsoft
MicroStrategy
mig33
MongoDB
MongoDB (Formerly 10gen)
Movistar
Mu Sigma
Myrrix 
Nami Media
NASA (National Aeronautics and Space Administration)
Navteq
Neo Technology
NetApp
NetFlix 
New York State Department of Taxation and Finance
Nexon
Nextbio
NFL (National Football League)
NIST (National Institute of Standards and Technology)
North Bridge
Northwest Analytics
Nottingham Trent University
Novartis
NSA (National Security Agency)
NTT Data
NTT DoCoMo
Nutonian
NYSE (New York Stock Exchange)
OASIS
ODaF (Open Data Foundation)
Ofcom
Oncor Electric Delivery
Open Data Center Alliance
OpenText Corporation
Opera Solutions
Optimal+
Oracle Corporation
Orange
Orbitz
OTP Bank
OVG Real Estate
Palantir Technologies
Panorama Software
ParAccel 
ParStream
Pentaho
Pervasive Software
Pfizer
Phocas
Pivotal Software
Platfora
Playtika
Primerica
Proctor and Gamble
Prognoz
Pronovias
Purdue University
PwC
Pyramid Analytics
Qlik
QPC
Quantum Corporation
Qubole
Quiterian 
Rackspace
RainStor
RapidMiner
Recorded Future
Relational Technology
Renault 
ReNet Tecnologia
Rentrak 
Revolution Analytics
RiteAid
RJMetrics
Robi Axiata
Roche
Royal Dutch Shell
Royal Navy
RSA Group
Sabre
Sailthru
Sain Engineering
Salesforce.com
Salient Management Company
Samsung 
Sanofi
SAP
SAS Institute
Saudi Aramco Energy Ventures
Savvis 
Scoreloop
Seagate Technology
SGI
Shuffle Master
Simba Technologies 
SiSense
Skyscanner
SmugMug
Snapdeal
Software AG
Sojo Studios
SolveDirect
Sony Corporation
Southern States Cooperative 
SpagoBI Labs
Splice Machine
Splunk
Spotfire
Spotme
Sqrrl
Starbucks
Strategy Companion
Supermicro
Syncsort
SynerScope
Tableau Software
Talend
Tango
TapJoy
Targit
TCS (Tata Consultancy Services)
Telefónica
Tencent
TEOCO
Teradata
Terracotta
Terremark
Tesco
Thales Group
The Hut Group
The Knot
The Ladders
The Trade Desk 
Think Big Analytics
Thomson Reuters
ThoughtSpot
TIBCO Software
Tidemark
T-Mobile USA
Toyota Motor Corporation
TubeMogul
Tunewiki
U.S. Air Force
U.S. Army
U.S. CBP (Customs and Border Protection)
U.S. Coast Guard
U.S. Department of Commerce
U.S. DHS (Department of Homeland Security)
U.S. ICE (Immigration and Customs Enforcement)
U.S. Navy
Ubiquisys 
UBS
UIEvolution
Umami TV
UN (United Nations) 
Unilever
US Xpress
Venture Partners
Verizon Communications
Versant
Vertica
VIMPELCOM
VMware
VNG
Vodafone
Volkswagen
Walmart
Walt Disney Company
WIND Mobile
WiPro
Xclaim
Xyratex
Yael Software
Yellowfin International
Zebra Technologies
Zendesk
Zettics
Zoomdata
Zucchetti
Zurich Insurance Group
Zynga

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