Top 20 Big Data Companies 2014

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For an Executive Summary of this report please contact ediz.ibrahim@visiongain.com (+44 (0)20 7549 9976) or refer to our website http://www.visiongain.com/Report/1175/Top-20-Big-Data-Companies-2014

For an Executive Summary of this report please contact ediz.ibrahim@visiongain.com (+44 (0)20 7549 9976) or refer to our website http://www.visiongain.com/Report/1175/Top-20-Big-Data-Companies-2014

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  • 1. Top 20 Big Data Companies 2014 Competitive Landscape Analysis ©notice This material is copyright by visiongain. It is against the law to reproduce any of this material without the prior written agreement of visiongain. You cannot photocopy, fax, download to database or duplicate in any other way any of the material contained in this report. Each purchase and single copy is for personal use only.
  • 2. 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 www.visiongain.com
  • 3. Contents 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 2014 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 www.visiongain.com
  • 4. Contents 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 www.visiongain.com
  • 5. Contents 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 www.visiongain.com
  • 6. Contents 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 www.visiongain.com
  • 7. Contents 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 www.visiongain.com
  • 8. Contents 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) www.visiongain.com
  • 9. Contents 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 (%) www.visiongain.com
  • 10. Contents 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 Mentioned in This Report 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 www.visiongain.com
  • 11. Contents 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 www.visiongain.com
  • 12. Contents 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 www.visiongain.com
  • 13. Contents 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 www.visiongain.com
  • 14. Contents 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 www.visiongain.com
  • 15. Contents 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 www.visiongain.com
  • 16. Contents 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 www.visiongain.com
  • 17. Contents 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 www.visiongain.com
  • 18. Contents Government Agencies and Other Organizations Mentioned in This Report IMEC (Interuniversity Microelectronics Centre) US CIA (Central Intelligence Agency) US DoD (Department of Defense) www.visiongain.com
  • 19. Top 20 Big Data Companies 2014: Competitive Landscape Analysis 5.20 CSC Company Overview Table 5.43 CSC Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website) 2014 Total company revenue $bn $24.5bn Revenue from Big Data $bn $0.17bn % of revenue from Big Data 0.7% Global big data market share % 1.0% Headquarters Virginia, US. Ticker CSC IR Contact investorrelations@csc.com Website www.csc.com Source: Visiongain 2014 Figure 5.20 CSC Big Data Market Share 2014 (%) 1.0% Source: Visiongain 2014 Computer Sciences Corporation (CSC) is an American multinational corporation that provides information technology (IT) services and professional services. CSC offers services such as: Www.visiongain.com Page 96 Page 96
  • 20. Top 20 Big Data Companies 2014: Competitive Landscape Analysis • IT and business process outsourcing like systems analysis, applications development, network operations, end-user computing and data centre management; • Emerging services such as cloud computing and cybersecurity protection, Infrastructure as a Service (IaaS), Software as a Service (SaaS), Business Process as a Service (BPaaS), Platform as a Service (PaaS), Big Data Managed Services and other emerging technologies and associated service delivery model; and • A variety of other IT and professional services, including systems integration, management consulting, technology consulting and other professional services. 5.20.1 CSC Big Data Analytics Offerings Analysis See Table 5.46 below for a detailed summary of CSC’s big data analytics offerings. Table 5.44 CSC Big Data Analytics Offerings Service/Solution Description Aims to modernize users BI environment by providing a BI strategy and CSC Business Intelligence renovating users capability to achieve a blend of function, agility and cost Transformation required to support business operations and improve organizational performance. CSC Data Integration and Optimization Combines ETL tools and proprietary methodology to focus on the complex portions of data transformation, while modern metadata migration engines enable the bulk of simpler data migration. CSC Data Warehouse A well-implemented, integrated data warehouse delivers a single view of Implementation core information across all functional departments and analytical systems. CSC Enterprise Intelligence Strategy CSC Information Strategy and Governance Www.visiongain.com EI Strategy has the potential to help capitalize on the volume, variety and velocity of both internal and external data to gain intelligence and take effective decisions. Data strategy, roadmap and high-level business case through consultancy service that offers prioritized, actionable recommendations to align information assets to tactical and strategic business objectives. Page 97 Page 97
  • 21. Top 20 Big Data Companies 2014: Competitive Landscape Analysis 7. Expert Opinion 7.1 Deloitte The following interview was conducted in December 2013. Visiongain would like to thank Jo Coutuer, Partner at Deloitte Belgium, Public Sector Technology and Analytics, for his participation in this interview, and providing us with an expert insight on the big data ecosystem. 7.1.1 Deloitte Company Background and Involvement in Big Data Visiongain: Please give us a little background about your company and your big data service offerings. Jo Coutuer: Deloitte is an international professional services company with a strong presence in technology advisory and implementation. Deloitte focusses on transformational projects. These are projects that lead to a substantial competitive advantage to our clients or projects that have a strategic significance to our clients’ organisations. One of our technological advisory and implementation fields is indeed the field of Big Data and Analytics. But before we dive into those offerings, it is important to understand that Deloitte’s unique value proposition is its multidisciplinary approach. Whereas Big Data is often defined as a technological challenge by IT companies, Deloitte approaches the Big Data and Analytics topics both from the business side as well as from the technological side. We believe that Big Data and Analytics find their reason of existence in the way they impact our clients’ business, people, processes, ...their bottom line and shareholder value. Deloitte is active in three types of Big Data related activities: 1. Advisory services: we challenge our clients in their existing business models and try to find the appropriate Big-Data-impacted business models with them. We want to make sure our clients do not become obsolete. Another way to provide value in this segment is by using Big Data driven techniques to deliver better insights to our clients. A petrol company asked us to prove they had the best gas pump network for a specific audience. Instead of proving this with a generic high level consulting approach, we combined various data sources and calculated hundreds of thousands of potential client cases and showed the strong points and weak points in the network in a fact based, analytical manner. The credibility and thus the value of such an advice is much higher than “gut feeling” advice. Www.visiongain.com Page 103 Page 103