The Big Data Market: 2018 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts

Release Date: June 2018 Number of Pages: 549 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 Telecom & IT estimates that Big Data investments will account for over $65 Billion in 2018 alone. These investments are further expected to grow at a CAGR of approximately 14% over the next three years. The “Big Data Market: 2018 – 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 profiles, market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2018 till 2030. The forecasts are 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 2018, Big Data vendors will pocket over $65 Billion from hardware, software and professional services revenues. These investments are further expected to grow at a CAGR of approximately 14% over the next three years, eventually accounting for more than $96 Billion by the end of 2021. With ongoing advances in AI (Artificial Intelligence) technologies, Big Data analytics initiatives are beginning to leverage sophisticated deep learning systems with an autonomous sense of judgment – to enable a range of applications from chatbots and virtual assistants to self-driving vehicles and precision medicine. In order to analyze data closer to where it is collected, Big Data and advanced analytics technologies are increasingly being integrated into edge environments, including network nodes, numerous industrial machines and IoT (Internet of Things) devices. The vendor arena is continuing to consolidate with several prominent M&A deals such as Oracle's recent acquisition of enterprise data science platform provider DataScience.com – in a bid to beef up its capabilities in machine learning and Big Data for predictive analytics, and Google's acquisition of Big Data application platform provider Cask Data. Topics Covered: The report covers the following topics: Big Data ecosystem Market drivers and barriers Enabling technologies, standardization and regulatory initiatives Big Data analytics and implementation models Key trends – including AI (Artificial Intelligence), machine learning, edge analytics, cloud-based Big Data platforms, and the impact of the IoT (Internet of Things)  Analysis of key applications and investment potential for 14 vertical markets Over 60 case studies on the use of Big Data and analytics Big Data vendor market share Future roadmap and value chain Profiles and strategies of over 270 leading and emerging Big Data ecosystem players Strategic recommendations for Big Data hardware, software and professional services vendors, and enterprises Market analysis and forecasts from 2018 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 2021, 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 ALTEN Alteryx Altiscale Amazon.com Ambulance Victoria AMD (Advanced Micro Devices) Amgen Anaconda ANSI (American National Standards Institute) Antivia Apixio Arcadia Data Arimo ARM ASF (Apache Software Foundation) AstraZeneca AT&T AtScale Attivio Attunity Automated Insights AVORA AWS (Amazon Web Services) Axiomatics Ayasdi BackOffice Associates BAE Systems Baidu Bangkok Hospital Group Basho Technologies BCG (Boston Consulting Group) Bedrock Data Bet365 Group BetterWorks Big Panda BigML Bina Technologies Biogen Birst Bitam Blue Medora BlueData Software BlueTalon BMC Software BMW BOARD International Boeing Booz Allen Hamilton Boxever British Gas Broadcom BT Group CACI International Cambridge Semantics Capgemini Capital One Financial Corporation Cask Data Cazena CBA (Commonwealth Bank of Australia) Centrifuge Systems CenturyLink Chartio Cisco Systems Civis Analytics ClearStory Data Cloudability Cloudera Cloudian Clustrix CognitiveScale Collibra Concurrent Technology Confluent Constant Contact Contexti Coriant Couchbase Crate.io Cray Credit Agricole Group CSA (Cloud Security Alliance) CSCC (Cloud Standards Customer Council) Dash Labs Data Clairvoyance Group Databricks DataGravity Dataiku Datalytyx Datameer DataRobot DataScience.com DataStax Datawatch Corporation Datos IO DDN (DataDirect Networks) Decisyon Dell EMC Dell Technologies Deloitte Demandbase Denodo Technologies Denso Corporation DGSE (General Directorate for External Security, France) Dianomic Systems Digital Reasoning Systems Dimensional Insight DMG  (Data Mining Group) Dolphin Enterprise Solutions Corporation Domino Data Lab Domo Dow Chemical Company Dremio DriveScale Druva DT (Deutsche Telekom) Dubai Police Dundas Data Visualization DXC Technology eBay Edith Cowen University Elastic Engineering Group (Engineering Ingegneria Informatica) EnterpriseDB Corporation eQ Technologic Ericsson Erwin EVŌ (Big Cloud Analytics) EXASOL EXL (ExlService Holdings) Facebook FDNY (Fire Department of the City of New York) FICO (Fair Isaac Corporation) Figure Eight FogHorn Systems Ford Motor Company Fractal Analytics Franz Fujitsu Fuzzy Logix Gainsight GE (General Electric) Glasgow City Council Glassbeam GoodData Corporation Google Grakn Labs Greenwave Systems GridGain Systems Groupe Renault Guavus H2O.ai Hanse Orga Group HarperDB HCL Technologies Hedvig Hitachi Hitachi Vantara Honda Motor Company Hortonworks HPE (Hewlett Packard Enterprise) HSBC Group Huawei HVR HyperScience HyTrust IBM Corporation iDashboards IDERA IEC (International Electrotechnical Commission) IEEE (Institute of Electrical and Electronics Engineers) Ignite Technologies Imanis Data Impetus Technologies INCITS (InterNational Committee for Information Technology Standards) Incorta InetSoft Technology Corporation Infer InfluxData Infogix Infor Informatica Information Builders Infosys Infoworks Insightsoftware.com InsightSquared Intel Corporation Interana InterSystems Corporation ISO (International Organization for Standardization) ITU (International Telecommunication Union) Jedox Jethro Jinfonet Software JJ Food Service JPMorgan Chase & Co. Juniper Networks Kaiser Permanente KALEAO Keen IO Keyrus Kinetica KNIME Kofax Kognitio Kyvos Insights Lavastorm Leadspace LeanXcale Lexalytics Lexmark International Lightbend Linux Foundation Logi Analytics Logical Clocks 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 Melissa 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 NEC Corporation Neo4j NetApp Netflix Neustar New York State Department of Taxation and Finance NextBio NFL (National Football League) Nimbix Nokia Northwest Analytics Nottingham Trent University Novartis NTT Data Corporation NTT Group Numerify NuoDB Nutonian NVIDIA Corporation OASIS (Organization for the Advancement of Structured Information Standards) Objectivity 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 Optum OptumLabs Oracle Corporation OTP Bank OVG Real Estate Palantir Technologies Panasonic Corporation Panorama Software Paxata Pentaho Pepperdata Pfizer Philips Phocas Software Pivotal Software Predixion Software Primerica Procter & Gamble Prognoz Progress Software Corporation Provalis Research Purdue University Pure Storage PwC (PricewaterhouseCoopers International) Pyramid Analytics Qlik Qrama/Tengu Qualcomm Quantum Corporation Qubole Rackspace Radius Intelligence RapidMiner Recorded Future Red Hat Redis Labs RedPoint Global Reltio Rocket Fuel Rosenberger Royal Bank of Canada Royal Dutch Shell Royal Navy RSA Group RStudio Rubrik Ryft Sailthru Salesforce.com Salient Management Company Samsung Electronics Samsung Group Samsung SDS Sanofi SAP SAS Institute ScaleArc ScaleOut Software Scaleworks Schneider Electric SCIO Health Analytics Seagate Technology Search Technologies Siemens Sinequa SiSense Sizmek SnapLogic Snowflake Computing SoftBank Group Software AG SpagoBI Labs Sparkline Data Splice Machine Splunk Sqrrl Strategy Companion Corporation Stratio Streamlio StreamSets Striim Sumo Logic Supermicro (Super Micro Computer) Syncsort SynerScope SYNTASA Tableau Software Talend Tamr TARGIT TCS (Tata Consultancy Services) TEOCO Teradata Corporation Tesco Thales The Walt Disney Company The Weather Company Thomson Reuters ThoughtSpot TIBCO Software Tidemark TM Forum T-Mobile USA Toshiba Corporation TPC (Transaction Processing Performance Council) Transwarp Trifacta Twitter 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. Department of Defense U.S. DHS (Department of Homeland Security) U.S. ICE (Immigration and Customs Enforcement) U.S. NASA (National Aeronautics and Space Administration) U.S. NIST (National Institute of Standards and Technology) U.S. NSA (National Security Agency) Unifi Software UnitedHealth Group Unravel Data USCIS (U.S. Citizenship and Immigration Services) VANTIQ Vecima Networks Verizon Communications Vmware Vodafone Group VoltDB W3C (World Wide Web Consortium) WANdisco Waterline Data Wavefront Western Digital Corporation WhereScape WiPro Wolfram Research Workday Xplenty Yellowfin BI Yseop Zendesk Zoomdata Zucchetti Zurich Insurance Group