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ビッグデータ市場の上位20社

Top 20 Big Data Companies 2014

発行 Visiongain Ltd 商品コード 293156
出版日 ページ情報 英文 132 Pages
納期: 即日から翌営業日
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ビッグデータ市場の上位20社 Top 20 Big Data Companies 2014
出版日: 2014年01月08日 ページ情報: 英文 132 Pages
概要

ビッグデータは過去数年間にわたって大きな商業的成功を収めてきました。同市場は2013年に124億米ドルに達し、ビジネスセグメントにおいてますます重要な役割を果たしています。ビッグデータは近年の流行語になっていますが、現在、先進市場における企業の約80%がIT予算の一部をビッグデータに投資しています。ビッグデータサービスの重要な促進因子のひとつは、何らかのデータを編集・管理しているあらゆる企業形態への適応が可能なことです。全ての組織がビッグデータのアプリケーションから等しく利益を得るとは限りませんが、ビッグデータは既に医療、通信、小売り、交通、民間および公共部門など多くの部門で導入されています。

当レポートでは、ビッグデータ市場について調査し、市場の概要、市場予測、および主要企業の詳細なプロファイルを提供しており、SWOT分析、専門家へのインタビューおよび今後の市場展望などをまとめ、概略以下の構成でお届けします。

第1章 エグゼクティブサマリー

第2章 ビッグデータ市場のイントロダクション

  • ビッグデータの実行
  • ビッグデータを支えるコンセプト
  • ビッグデータの定義
  • ビッグデータの分類
  • ビッグデータの各タイプ
  • ビッグデータ分析のビジネスケース
  • ビッグデータ分析向けの企業アプリケーション
  • ビッグデータは革新&生産性のための触媒
  • ビッグデータアウトソーシング関連の信用問題とセキュリティ懸念
  • ビッグデータの課題
  • ビッグデータのプロセッシングパイプライン
  • ビッグデータ技術
  • ビッグデータの視覚表示

第3章 世界のビッグデータ市場予測

  • 大きな企業の関心がビッグデータ市場を前進させる促進因子

第4章 ビッグデータ市場の競合的ポジショニング

  • ビッグデータ市場における主要20社のレビュー
  • ビッグデータ市場の構成

第5章 ビッグデータ市場における主要20社:企業概要

  • IBM
  • HP
  • Teradata
  • Dell
  • Oracle
  • SAP
  • EMC
  • Cisco Systems
  • PwC
  • Microsoft
  • Accenture
  • Palantir Technologies
  • Fusion-io
  • SAS Institute
  • Splunk
  • Deloitte
  • NetApp
  • 日立
  • Opera Solutions Company Overview
  • CSC Company Overview
  • ビッグデータ市場エコシステムにおけるその他の企業

第6章 SWOT分析

第7章 専門家の見解

第8章 結論

  • ビッグデータサービスのエンタープライズアプリケーション
  • 適正なビッグデータサービスの選択
  • パブリックデータの可用性の増加
  • ビッグデータ分析の継続成長
  • 議論
  • ビッグデータ主要20社の市場シェア・展望

第9章 用語

図表一覧

企業索引

目次

Big data has emerged as a significant commercial success over the past few years. Visiongain calculates that the big data market will reach $12.4bn in 2013 and play an increasingly important role in the business segment as future systems will further exploit the capabilities offered by this technology.

Although big data has become more of a buzzword recently around 80% of the enterprises in the developed world are now investing at least some part of their IT budget on big data. One of the key driving points for big data services has been its applicability to all forms of organizations where some sort of data is being compiled and managed. While all of these organizations might not gain equally from the application of big data, some will thrive from it and others will see results with a lower impact. Nonetheless big data is here to stay and is already being adopted in many sectors including healthcare, communications, retail, transport, private and the public sector.

Visiongain predicts significant growth rates for big data, as the market is poised for vendors and solution providers as there is a huge uptake from the enterprise sector by organizations of all sizes. Big data is a ubiquitous phenomenon which can effectively be applied in a wide range of industries from the private sector to the public sector. Hence the overall big data market is growing at a rapid pace and will continue to do so over the next few years. As a result, Visiongain has determined that the 20 leading companies in the global big data market account for 55.0% of annual market revenue which is suggestive of a highly populated and fragmented market.

This new report from visiongain is a completely fresh market assessment of the Big Data market sector based upon the latest information. The report contains completely new company interviews, original analysis, expanded company profiles and, most crucially, fresh conclusions.

Why you should buy the Top 20 Big Data Companies 2014: Competitive Landscape Analysis

What is the future of the Big Data market? Visiongain's comprehensive analysis contains highly quantitative content delivering solid conclusions benefiting your analysis and illustrates new opportunities and potential revenue streams helping you to remain competitive. This definitive report will benefit your decision making and help to direct your future business strategy.

Avoid falling behind your competitors, missing critical business opportunities or losing industry influence. In our new report you will discover revenues and market shares for the top 20 big data companies. The report also assesses technologies, competitive forces and expected product pipeline developments. Read on to discover the prospects for the big data sector and find out what its future market prospects are.

Why choose visiongain business intelligence?

Visiongain's increasingly diverse sector coverage strengthens our research portfolio. The growing cross-sector convergence of key verticals and the interplay of game changing technologies across hitherto unrelated industries are creating new synergies, resulting in new business opportunities for you to leverage.

As such, visiongain's team of London based in-house analysts offer a wealth of knowledge and experience to inform your strategic business decisions. Let visiongain guide you.

We guarantee that you will receive key information which will benefit you in the following way

  • Discover the top 20 big data companies and find analysis for 2014 to keep your knowledge ahead of your competition and ensure you exploit key business opportunities
    • The report provides detailed market shares along with estimated revenues for leading big data companies, and the commercial drivers and restraints allowing you to more effectively compete in the market.
    • You will also discover original critical analysis, revealing insight into commercial developments
  • Why struggle to find key market data? Why miss crucial information? Our comprehensive report provides instant market insight
    • Our 132 page report provides 82 tables, charts, and graphs. Let our analysts present you with a thorough assessment of the leading players in the big data market.
    • This analysis will achieve quicker, easier understanding. Also you will gain from our analyst's industry expertise allowing you to demonstrate your authority on the big data sector
  • Visiongain is one of the few business intelligence companies that provides full transcripts of primary research company interviews. Be part of this knowledge. Learn what industry thought leaders are thinking. Leaders hold critical information
    • By reading the exclusive expert interviews contained in the report you will keep up to speed with what is really happening in the industry. Don't' fall behind. You will gain a thorough knowledge on the big data sector finding strategic advantages for your work and will learn how your organisation can benefit.
    • Read the full transcripts of exclusive expert opinion interviews from leading industry specialists informing your understanding and allowing you to assess prospects for investments and sales
    • Delloite
    • Fusion-io
    • IBM
    • Splunk
  • Discover the revenue predictions for the global big data market from 2013-2018
    • What are the secrets of the big data industry's progress? How will these markets expand? Use our forecasts and expert insight to grow your business and give you more industry influence. Find where you can gain and how your organisation can succeed. Avoid falling behind.
  • Identify who the leading companies are in the big data industry
    • Our report reveals the technologies and companies which hold the greatest potential. In particular, exploring and analyzing the activities of these companies: See where the expected gains will be. Prospects for advances in the big data industry are strong, and from 2014 it holds many opportunities for revenue growth. View visiongain's assessment of the prospects for established competitors, rising companies, and new market entrants. Our work explains that potential, helping you stay ahead. Gain a thorough understanding of the competitive landscape with profiles of the top 20 big data companies examining their big data market share, big data revenues, competitive positioning, capabilities, product portfolios, R&D activity, services, focus, strategies, M&A activity, and future outlook.
    • Accenture
    • Cisco Systems
    • CSC
    • Dell
    • Deloitte
    • EMC
    • Fusion-io
    • Hitachi
    • HP
    • IBM
    • Microsoft
    • NetApp
    • Opera Solutions
    • Oracle
    • Palantir
    • PwC
    • SAP
    • SAS Institute
    • Splunk
    • Teradata
  • Discover Information found nowhere else in this independent assessment of the leading players in the big data market
    • The Top 20 Big Data Companies 2014: Competitive Landscape Analysis report provides impartial analysis of leading players in the big data market. With the independent business intelligence found only in our work, you will discover where the prospects are for profit. In particular, our new research provides you with key strategic advantages: Our informed forecasts, independent and objective analysis, exclusive interviews and revealing company profiles will provide you with that necessary edge, allowing you to gain ground over your competitors.
    • With this report you are less likely to fall behind in knowledge or miss crucial business opportunities. You will save time and receive recognition for your market insight. See how you this report could benefit and enhance your research, analysis, company presentations and ultimately your individual business decisions and your company's prospects.
  • Explore the factors affecting product developers, and everyone within the value chain. Learn about the forces influencing market dynamics.
    • Explore the strengths, weaknesses, opportunities and threats (SWOT) issues assessing product advances. Discover what the present and future outlook for business will be. Learn about the following business critical issues -
    • Research and development (R&D) strategy
    • Technological issues and constraints.
    • Market Drivers & Restraints
    • Supply and demand dynamics
    • Competition from new product types
    • Increasing specialisation by leading players
    • Increasing industry consolidation.
    • Advances in product quality

What makes this report unique?

Visiongain consulted widely with leading industry experts and full transcripts from these exclusive interviews with Deloitte, Fusion-io, IBM, and with Splunk are included in the report. Visiongain's research methodology involves an exclusive blend of primary and secondary sources providing informed analysis. This methodology allows insight into the key drivers and restraints behind market dynamics and competitive developments. The report therefore presents an ideal balance of qualitative analysis combined with extensive quantitative data.

How the Top 20 Big Data Companies 2014: Competitive Landscape Analysis Report can benefit you

Visiongain's report is for anyone requiring a competitive analysis of the Big Data market. You will discover market share and revenue forecasts, technological trends, predictions and expert opinion providing you with independent analysis derived from our extensive primary and secondary research. Only by purchasing this report will you receive this critical business intelligence revealing where revenue growth is likely and where the lucrative potential market prospects are. Don't miss this key opportunity to gain a competitive advantage.

Table of Contents

1. Executive Summary

  • 1.1 Big Data Adoption Rising Amongst Enterprises
  • 1.2 Big Data Proving To Be Beneficial to Organizations Across All Sectors
  • 1.3 Big Data Benefits Outweigh the Security Risks
  • 1.4 Ecosystem Members in the Big Data Market
  • 1.5 Big Data Enterprise Migration Driving Growth
  • 1.6 Aim of the Report
  • 1.7 Structure of the Report
  • 1.8 Report Scope
  • 1.9 Highlights in the report include:
  • 1.10 Who is This Report For?
  • 1.11 Methodology

2. Introduction to the Big Data Market

  • 2.1 The Practice of Big Data
  • 2.2 The Concept behind Big Data
  • 2.3 Defining the Term Big Data
  • 2.4 Categorizing Big Data
  • 2.5 Different Types of Big Data
  • 2.6 Business Case for Big Data Analytics
  • 2.7 Enterprise Application for Big Data Analytics
  • 2.8 Big Data a Catalyst for Innovation & Productivity
  • 2.9 Trust Issues & Security Concerns with Regards to Big Data Outsourcing
  • 2.10 Challenges of Big Data
  • 2.11 Big Data Processing Pipeline
    • 2.11.1 Big Data Processing Pipeline - Major Steps
    • 2.11.2 Big Data Processing Pipeline - Common Challenges
  • 2.12 Big Data Technologies
    • 2.12.1 Apache Hadoop
    • 2.12.2 NoSQL Database
    • 2.12.3 Additional Big Data Technologies
  • 2.13 Visual Representation of Big Data

3. Global Big Data Market Forecasts 2013-2018

  • 3.1 Significant Enterprise Interest Driving the Big Data Market Forward

4. Competitor Positioning in the Big Data Market

  • 4.1 Leading 20 Company Revenues in the Big Data Market
  • 4.2 Composition of the Big Data Market in 2013

5. Leading 20 Companies in the Big Data Market

  • 5.1 IBM Company Overview
    • 5.1.1 IBM Smart Analytics System
  • 5.2 HP Company Overview
  • 5.3 Teradata Company Overview
    • 5.3.1 Teradata Big Data Analytics Offering - Teradata Unified Data
  • 5.4 Dell Company Overview
    • 5.4.1 Kitenga Analytics Suite
  • 5.5 Oracle Company Overview
    • 5.5.1 Oracle Big Data Analytics Solution
  • 5.6 SAP Company Overview
    • 5.6.1 SAP Big Data Analytics Offering
  • 5.7 EMC Company Overview
    • 5.5.1 EMC Products and Services
  • 5.8 Cisco Systems Company Overview
  • 5.9 PwC Company Overview
    • 5.9.1 PwC Big Data Offering
  • 5.10 Microsoft Company Overview
    • 5.10 Microsoft Big Data Analytics - Offerings and Advantages
  • 5.11 Accenture Company Overview
    • 5.11.1 Accenture Big Data Offering
    • 5.11.2 Accenture Big Data Services
  • 5.12 Palantir Technologies Company Overview
    • 5.12.1 Palantir Technologies Big Data Focus
    • 5.12.1 Palantir Products
    • 5.12.2 Palantir Customers and Focus
    • 5.12.3 Palantir Big Data Analytics Services
  • 5.13 Fusion-io Company Overview
    • 5.13.1 Fusion-io Customers and Market Standing
  • 5.14 SAS Institute Company Overview
    • 5.14.1 SAS Analytics Portfolio Analysis
  • 5.15 Splunk Company Overview
    • 5.15.1 Splunk Big Data Analytics Offering
  • 5.16 Deloitte Company Overview
    • 5.16.1 Big Data Analytics Offerings
  • 5.17 NetApp Company Overview
    • 5.15.1 NetApp Open Solution for Hadoop
  • 5.18 Hitachi Company Overview
    • 5.18.1 Hitachi Big Data Analytics Offering
  • 5.19 Opera Solutions Company Overview
    • 5.19.1 Opera Solutions Big Data Analytics Offerings
  • 5.20 CSC Company Overview
    • 5.20.1 CSC Big Data Analytics Offerings Analysis
  • 5.21 Additional Players in the Big Data Market Ecosystem

6. SWOT Analysis of the Big Data Market

7. Expert Opinion

  • 7.1 Deloitte
    • 7.1.1 Deloitte Company Background and Involvement in Big Data
    • 7.1.2 Key Trends & Recent Developments in the Big Data Market
    • 7.1.3 Primary Drivers & Restraints of the Big Data Market
    • 7.1.4 Expected Technological Developments in the Big Data Analytics Market
    • 7.1.5 Leading Players in the Big Data Market
    • 7.1.6 Competitive Landscape Outlook
    • 7.1.7 Regional Growth Focus in the Big Data Market
    • 7.1.8 Challenges & Opportunities in the Big Data Market
    • 7.1.9 Final Thoughts
  • 7.2 Fusion-io
    • 7.2.1 Fusion-io Company Background and Involvement in Big Data
    • 7.2.2 Key Trends & Recent Developments in the Big Data Market
    • 7.2.3 Expected Technological Developments in the Big Data Analytics Market
    • 7.2.4 Leading Players in the Big Data Market
    • 7.2.5 Revenue Growth Estimates
    • 7.2.6 Competitive Landscape Outlook
    • 7.2.7 Regional Growth Focus in the Big Data Market
    • 7.2.8 Challenges & Opportunities in the Big Data Market
    • 7.2.9 Final Thoughts
  • 7.3 IBM
    • 7.3.1 IBM Company Background and Involvement in Big Data
    • 7.3.2 Key Trends & Recent Developments in the Big Data Market
    • 7.3.3 Expected Technological Developments in the Big Data Market
    • 7.3.4 Regional Growth Focus in the Big Data Market
    • 7.3.5 Challenges & Opportunities in the Big Data Market
    • 7.3.6 Primary Drivers & Restraints of the Big Data Market
    • 7.3.7 Business Case for Big Data Analytics
    • 7.3.8 Future of IBM in the Big Data Market
  • 7.4 Splunk
    • 7.4.1 Splunk Company Background and Involvement in Big Data
    • 7.4.2 Key Trends & Recent Developments in the Big Data Market
    • 7.4.3 Expected Technological Developments in the Big Data Analytics Market
    • 7.4.4 Leading Players in the Big Data Market
    • 7.4.5 Revenue Growth Estimates
    • 7.4.6 Competitive Landscape Outlook
    • 7.4.7 Regional Growth Focus in the Big Data Market
    • 7.4.8 Challenges & Opportunities in the Big Data Market

8. Conclusions

  • 8.1 Enterprise Adaption of Big Data Services
  • 8.2 Choosing the Right Big Data Services
  • 8.3 Increasing Availability of Public Data
  • 8.4 Continued Growth of Big Data Analytics
  • 8.5 Discussion
  • 8.6 Market Share & Outlook for the 20 Leading Big Data Companies

9. Glossary

List of Tables

  • Table 2.1 Big Data - Defining Factors
  • Table 2.2 Key Types of Big Data
  • Table 2.3 Big Data Challenges
  • Table 2.4 Big Data Processing Pipeline - Major Steps
  • Table 2.5 Big Data Processing Pipeline - Common Challenges
  • Table 2.6 Apache Hadoop Modules
  • Table 2.7 Apache Hadoop Strengths & Limitations
  • Table 2.8 NoSQL vs SQL Database Summary
  • Table 2.9 Additional Big Data Technologies
  • Table 3.1 Global Big Data Market Forecast 2013-2018 ($ bn, AGR %, CAGR%, Cumulative)
  • Table 4.1 Leading 20 Big Data Companies 2014 (Market Ranking, Revenue, Offerings, Market Share %)
  • Table 5.1 IBM Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)
  • Table 5.2 IBM Big Data Platform - Key Capabilities
  • Table 5.3 IBM Big Data Platform - Supporting Services
  • Table 5.4 IBM Smart Analytics System Summary
  • Table 5.5 HP Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)
  • Table 5.6 HAVEn Key Summary (Advantages, Description)
  • Table 5.7 HAVEn - Technical Specifications
  • Table 5.8 HAVEn Solutions
  • Table 5.9 Teradata Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)
  • Table 5.10 Teradata Unified Data Architecture
  • Table 5.11 Dell Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)
  • Table 5.12 Kitenga Analytics Suite - Features and Benefits
  • Table 5.13 Oracle Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)
  • Table 5.14 SAP Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)
  • Table 5.15 SAP Big Data Offerings
  • Table 5.16 EMC Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)
  • Table 5.17 EMC Big Data Analytics Solutions
  • Table 5.18 EMC Big Data Analytics Solutions
  • Table 5.19 Cisco Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)
  • Table 5.20 Cisco Big Data Offerings
  • Table 5.21 PwC Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Website)
  • Table 5.22 PwC Big Data Offering
  • Table 5.23 Microsoft Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Website)
  • Table 5.24 Microsoft Big Data Analysis Summary
  • Table 5.25 Accenture Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)
  • Table 5.26 Accenture Big Data Services
  • Table 5.27 Palantir Technologies Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Contact, Website)
  • Table 5.28 Palantir Big Data Focus
  • Table 5.29 Palantir Products
  • Table 5.30 Palantir Insurance Analytics
  • Table 5.31 Fusion-io Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)
  • Table 5.32 SAS Institute Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)
  • Table 5.33 SAS Analytics Portfolio
  • Table 5.34 Splunk Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)
  • Table 5.35 Splunk Big Data Analytics Offerings
  • Table 5.36 Deloitte Company Overview 2014 (Total Revenue, Revenue from Big DAta, % Revenue From Big Data, Global Market Share %, HQ, Contact, Website)
  • Table 5.37 Deloitte's Analytics Services
  • Table 5.38 NetApp Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)
  • Table 5.39 Hitachi Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)
  • Table 5.40 Hitachi Big Data Analytics Offering - Features and Benefits
  • Table 5.41 Opera Solutions Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Website)
  • Table 5.42 Operas Solutions Big Data Analytics Solutions and Services
  • Table 5.43 CSC Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)
  • Table 5.44 CSC Big Data Analytics Offerings
  • Table 5.45 Additional Players in the Big Data Ecosystem
  • Table 6.1 SWOT Analysis of the Big Data Market 2013-2018

List of Figures

  • Figure 2.1 Big Data Processing Pipeline - Major Steps and Common Challenges
  • Figure 2.2 Big Data Visualisation
  • Figure 3.1 Global Big Data Market Forecast 2013-2018 ($bn, AGR%)
  • Figure 4.1 Leading 20 Big Data Companies Market Share 2014 (%)
  • Figure 5.1 IBM Big Data Market Share 2014 (%)
  • Figure 5.2 HP Big Data Market Share 2014 (%)
  • Figure 5.3 Teradata Big Data Market Share 2014 (%)
  • Figure 5.4 Dell Big Data Market Share 2014 (%)
  • Figure 5.5 Oracle Big Data Market Share 2014 (%)
  • Figure 5.6 SAP Big Data Market Share 2014 (%)
  • Figure 5.7 EMC Big Data Market Share 2014 (%)
  • Figure 5.8 Cisco Systems Big Data Market Share 2014 (%)
  • Figure 5.9 PwC Big Data Market Share 2014 (%)
  • Figure 5.10 Microsoft Big Data Market Share 2014 (%)
  • Figure 5.11 Accenture Big Data Market Share 2014 (%)
  • Figure 5.12 Palantir Big Data Market Share 2014 (%)
  • Figure 5.13 Fusion-io Big Data Market Share 2014 (%)
  • Figure 5.14 SAS Institute Big Data Market Share 2014 (%)
  • Figure 5.15 Splunk Institute Big Data Market Share 2014 (%)
  • Figure 5.16 Deloitte Big Data Market Share 2014 (%)
  • Figure 5.17 NetApp Big Data Market Share 2014 (%)
  • Figure 5.18 Hitachi Big Data Market Share 2014 (%)
  • Figure 5.19 Opera Solutions Big Data Market Share 2014 (%)
  • Figure 5.20 CSC Big Data Market Share 2014 (%)
  • Figure 5.21 Rest of the Companies Big Data Market Share 2014 (%)

Companies Listed

  • 1010data
  • 10gen
  • Accenture
  • Accion Labs, Inc.
  • Actian
  • Actuate
  • Acunu
  • Aerospike
  • Alacer Technology Solutions
  • Alteryx
  • Amazon
  • Amazon Web Services (AWS)
  • Apache Software Foundation (ASF)
  • Apixio
  • Apple Inc.
  • ArcSight
  • Aspera
  • Atos S.A.
  • Attivio
  • Autonomy
  • Avanade
  • Basho
  • BIConcepts IT Consulting GmbH
  • Big Data Partnership
  • Blue Coat
  • BlueKai
  • Booz Allen Hamilton
  • BPSolutions
  • Brightlight Consulting, Inc.
  • BTRG
  • Buckley Data Group LLC
  • Calpont
  • Capgemini
  • Centrifuge Systems
  • CGI
  • Cisco Systems
  • ClickFox
  • Cloudera
  • Concord
  • Contexti
  • Couchbase
  • Crowdflower
  • CSC
  • Daman Consulting
  • DataCrunchers
  • Dataguise
  • Datameer
  • DataPop
  • Datasift
  • dataspora
  • DataStax
  • DataXu
  • DDN
  • Dell
  • Deloitte
  • Digital Reasoning
  • eBay
  • EcoSolutions Technology Inc.
  • EMC
  • Encore Software Services
  • Ernst & Young (E&Y)
  • Ethias
  • Expan
  • F5 Networks
  • Facebook
  • Factual
  • Findability
  • Fluidinfo
  • Focus Business Solutions
  • Ford
  • Fractal Analytics
  • Fujitsu Ltd.
  • Fusion-io
  • General Sentiment
  • GlassHouse Systems Inc.
  • Global Consulting Solutions LLC
  • Gnip
  • GoldBot Consulting
  • GoodData
  • Google
  • GTRI
  • Guavus
  • Hadapt
  • Hexaware Technologies Inc
  • Hitachi
  • Hortonworks
  • HP
  • HPCC Systems
  • Huawei
  • Hyperpublic
  • Hyve Solutions
  • i2
  • IBM
  • Infochimps
  • Infomotion GmbH
  • Informatica
  • Information Control Corporation
  • In-Q-Tel
  • Instagram
  • Intel
  • Intelligent Communication (Intelcom)
  • IQ Associates
  • iRhythm
  • iSoftStone Information Technology(Group) Co., Ltd
  • ISS Inc.
  • Jaspersoft
  • Jibes Data Analytic
  • Juniper Networks
  • Kaggle
  • Karmasphere
  • Kinetic Global Markets
  • Klarna
  • Knowesis Technology
  • Kognitio
  • KPMG
  • Lattice Engines
  • Leap Commerce
  • Lenovo
  • Level Seven
  • Lighthouse
  • Lilien LLC
  • Lincube Group AB
  • Linked-In
  • Logica
  • LucidWorks
  • MapR
  • MarkLogic
  • McKenney's
  • Mercedes
  • Metamarkets
  • Microsoft
  • Microstrategy
  • Middlecon AB
  • mLogica
  • MuSigma
  • Neo Technology
  • NES
  • NetApp
  • NewsCred
  • NewVantage
  • nfrastructure
  • nPario
  • OakStream Systems LLC
  • Offspring Solutions LLC
  • OpenHeatMap
  • Opera Solutions
  • Oracle
  • Palantir
  • Palantir Technologies
  • ParAccel
  • Paypal
  • Pentaho
  • Perficient
  • Perot Systems
  • Persistent Systems
  • Pervasive Software
  • Philips
  • Pivotal
  • Precog
  • PROTEUS Technologies
  • PwC
  • QlikTech
  • Quantum
  • Quid
  • R Square, Inc.
  • Rackspace
  • RainStor
  • ReadyForZero
  • Recommind
  • Recorded Future
  • Red Hat
  • reHarmony
  • Reply
  • RES
  • RetailNext
  • Revolution Analytics
  • Rovio
  • Salesforce
  • Samsung
  • SAP
  • SAS Institute
  • SaveWave
  • SciSpike
  • Seagate
  • Sendmail
  • SGI
  • Shanghai EC Data Information Technology Co., Ltd.
  • Sharpe Engineering
  • Siemens
  • SiSense
  • Sociocast
  • SoftSol
  • Software AG/Terracotta
  • Sony
  • Splunk
  • Stormpulse
  • Stream Integration
  • Sulia
  • Super Micro
  • Sybase
  • Systech Solutions
  • Systex
  • Tableau Software
  • Talend
  • TamGroup
  • Tata Consultancy
  • TCS
  • Teradata
  • Teralytics AG
  • TerraEchos
  • The Trade Desk
  • Think Big Analytics
  • TIBCO Software
  • Twitter
  • Vertica Systems
  • VMware
  • Voci Technologies Incorporated
  • WANdisco
  • WaveStrong
  • Wavii
  • Wikipedia
  • WiPro
  • WISE MEN
  • Wonga
  • Xerox
  • Yahoo
  • ZestFinance

Other Organisations Mentioned in This Report

  • IMEC (Interuniversity Microelectronics Centre)
  • US CIA (Central Intelligence Agency)
  • US DoD (Department of Defense)
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