The Big Data Market: 2017 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts

Release Date: April 2017 Number of Pages: 498 Number of Tables and Figures: 89 Synopsis: “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 $57 Billion in 2017 alone. These investments are further expected to grow at a CAGR of approximately 10% over the next three years. The “Big Data Market: 2017 – 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 2017 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. For a Sample and Table of Contents please contact info@snstelecom.com Pricing: The report is available for the following price:  Single User License: USD 2,500 Company Wide License: USD 3,500 Key Findings: The report has the following key findings: In 2017, Big Data vendors will pocket over $57 Billion from hardware, software and professional services revenues. These investments are further expected to grow at a CAGR of approximately 10% over the next three years, eventually accounting for over $76 Billion by the end of 2020. As part of wider plans to revitalize their economies, countries across the world are incorporating legislative initiatives to capitalize on Big Data. For example, the Japanese government is engaged in developing intellectual property protection and dispute resolution frameworks for Big Data assets, in a bid to encourage data sharing and accelerate the development of domestic industries. By the end of 2017, SNS Research estimates that as much as 30% of all Big Data workloads will be processed via cloud services as enterprises seek to avoid large-scale infrastructure investments and security issues associated with on-premise implementations. The vendor arena is continuing to consolidate with several prominent M&A deals such as computer hardware giant Dell's $60 Billion merger with data storage specialist EMC.  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 14 vertical markets Big Data analytics technology and case studies Big Data vendor market share Company profiles and strategies of over 240 Big Data ecosystem players Strategic recommendations for Big Data hardware, software and professional services vendors, and enterprises Market analysis and forecasts from 2017 till 2030 Forecast Segmentation: Market forecasts 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, Wholesale & Hospitality Telecommunications Utilities & Energy 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, Netherlands, 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 Absolutdata Accenture Actian Corporation Actuate Corporation Adaptive Insights Adobe Systems Advizor Solutions AeroSpike AFS Technologies Airbus Group Alameda County Social Services Agency Alation Algorithmia Alluxio Alphabet Alpine Data Alteryx Altiscale Amazon.com Ambulance Victoria AMD (Advanced Micro Devices) Amgen Amino ANSI (American National Standards Institute) Antivia Apixio Arcadia Data Arimo ARM ASF (Apache Software Foundation) AstraZeneca AT&T Atos AtScale Attivio Attunity Automated Insights AWS (Amazon Web Services) Axiomatics Ayasdi BAE Systems Baidu Barclays Bank Basho Technologies BCG (Boston Consulting Group) Bedrock Data BetterWorks Big Cloud Analytics Big Panda Bina Technologies Biogen Birst Bitam Blue Medora BlueData Software BlueTalon BMC Software BMW BOARD International Boeing Booz Allen Hamilton Boxever British Gas Brocade BT Group CACI International Cambridge Semantics Capgemini Capital One Financial Corporation Cazena CBA (Commonwealth Bank of Australia) CBP (U.S. Customs and Border Protection) Centrifuge Systems CenturyLink Chartio Cisco Systems Civis Analytics ClearStory Data Cloudability Cloudera Clustrix CognitiveScale Collibra Concurrent Computer Corporation Confluent Constant Contact Contexti Continuum Analytics Coriant Couchbase Credit Agricole Group CrowdFlower CSA (Cloud Security Alliance) CSCC (Cloud Standards Customer Council) Databricks DataGravity Dataiku Datameer DataRobot DataScience DataStax DataTorrent Datawatch Corporation Datos IO DDN (DataDirect Networks) Decisyon Dell EMC Dell Technologies Deloitte Delphi Automotive Demandbase Denodo Technologies Denso Corporation DGSE (General Directorate for External Security, France) DHS (U.S. Department of Homeland Security) Digital Reasoning Systems Dimensional Insight DMG  (Data Mining Group) Dolphin Enterprise Solutions Corporation Domino Data Lab Domo Dow Chemical Company DriveScale DT (Deutsche Telekom) Dubai Police Dundas Data Visualization DXC Technology eBay Edith Cowen University Eligotech Engineering Group (Engineering Ingegneria Informatica) EnterpriseDB eQ Technologic Ericsson EXASOL Facebook FDNY (Fire Department of the City of New York) FICO (Fair Isaac Corporation) Ford Motor Company Fractal Analytics Fujitsu Fuzzy Logix Gainsight GE (General Electric) Glasgow City Council Glassbeam GoodData Corporation Google Greenwave Systems GridGain Systems GSK (GlaxoSmithKline) Guavus H2O.ai HDS (Hitachi Data Systems) Hedvig Hitachi Hortonworks HPE (Hewlett Packard Enterprise) HSBC Group Huawei IBM Corporation ICE (U.S. Immigration and Customs Enforcement) iDashboards IEC (International Electrotechnical Commission) IEEE (Institute of Electrical and Electronics Engineers) Impetus Technologies INCITS (InterNational Committee for Information Technology Standards) Incorta InetSoft Technology Corporation Infer Infor Informatica Corporation Information Builders Infosys Infoworks Insightsoftware.com InsightSquared Intel Corporation Interana InterSystems Corporation ISO (International Organization for Standardization) ITU (International Telecommunications Union) Jedox Jethro Jinfonet Software JJ Food Service JPMorgan Chase & Co. Juniper Networks Kaiser Permanente KALEAO Keen IO Kinetica KNIME Kofax Kognitio Kyvos Insights Lavastorm Lexalytics Lexmark International Linux Foundation Logi Analytics Longview Solutions Looker Data Sciences LucidWorks Luminoso Technologies Maana Magento Commerce Manthan Software Services MapD Technologies MapR Technologies MariaDB Corporation MarkLogic Corporation Marriott International Mathworks Memphis Police Department MemSQL Mercer METI (Ministry of Economy, Trade and Industry, Japan) Metric Insights Michelin Microsoft Corporation MicroStrategy Ministry of State Security, China Minitab MongoDB Mu Sigma NASA (U.S. National Aeronautics and Space Administration) Neo Technology NetApp Netflix Neustar New York State Department of Taxation and Finance NextBio NFL (U.S. National Football League) Nimbix NIST (U.S. National Institute of Standards and Technology) Nokia Northwest Analytics Nottingham Trent University Novartis NSA (U.S. National Security Agency) NTT Data Corporation NTT Group Numerify NuoDB Nutonian NVIDIA Corporation OASIS (Organization for the Advancement of Structured Information Standards) Oblong Industries ODaF (Open Data Foundation) ODCA (Open Data Center Alliance) ODPi (Open Ecosystem of Big Data) Ofcom OGC (Open Geospatial Consortium) Oncor Electric Delivery Company ONS (Office for National Statistics, United Kingdom) OpenText Corporation Opera Solutions Optimal Plus Oracle Corporation Otonomo OTP Bank OVG Real Estate Palantir Technologies Panorama Software Paxata Pentaho Corporation Pepperdata Pfizer Philips Phocas Software Pivotal Software Predixion Software Primerica Procter & Gamble Prognoz Progress Software Corporation Purdue University PwC (PricewaterhouseCoopers International) Pyramid Analytics Qlik Qualcomm Quantum Corporation Qubole Rackspace Radius Intelligence RapidMiner Recorded Future Red Hat Redis Labs RedPoint Global Reltio Roche Rosenberger Royal Bank of Canada Royal Dutch Shell Royal Navy RSA Group RStudio Ryft Systems Sailthru Salesforce.com Salient Management Company Samsung Electronics Samsung Group Samsung SDS Sanofi SAP SAS Institute ScaleDB ScaleOut Software Schneider Electric SCIO Health Analytics Seagate Technology Siemens Sinequa SiSense SnapLogic Snowflake Computing SoftBank Group Software AG SpagoBI Labs Splice Machine Splunk Sqrrl Strategy Companion Corporation StreamSets Striim Sumo Logic Supermicro (Super Micro Computer) Syncsort SynerScope Tableau Software Talena Talend Tamr TARGIT TCS (Tata Consultancy Services) TEOCO Teradata Corporation Tesco The Weather Company Thomson Reuters ThoughtSpot TIBCO Software Tidemark TM Forum T-Mobile USA Toshiba Corporation Toyota Motor Corporation TPC (Transaction Processing Performance Council) Trifacta U.S. Air Force U.S. Army U.S. Coast Guard U.S. Department of Commerce U.S. Department of Defense UCB Unravel Data USCIS (U.S. Citizenship and Immigration Services) Valens Verizon Communications VMware Vodafone Group VoltDB W3C (World Wide Web Consortium) Walt Disney Company Waterline Data Wavefront Western Digital Corporation WiPro Workday Xevo Xplenty Yellowfin International Yseop Zendesk Zoomdata Zucchetti Zurich Insurance Group