At 10% of CAGR the Big Data Market is expected to surpass $57 Billion by End of 2017

Browse The Big Data Market: 2017 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts 29 Tables and Figures, More than 150 Companies, spread across 498 pages available at http://www.reportsnreports.com/contacts/discount.aspx?name=968656.
“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.
Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. The 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 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 four 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, The 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 $60 Billion merger with data storage specialist EMC.
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List of Companies Mentioned:
Facebook , Google, IBM Corporation, Infosys, 1010data, Absolutdata, Accenture, Actian Corporation, Actuate Corporation, Adaptive Insights, Adobe Systems, Advizor Solutions, AeroSpike, AFS Technologies, Airbus Group, Alameda County Social Services Agency, Alation, Algorithmia, Alluxio, Alphabet, Alpine Data, Alteryx, Altiscale, Ambulance Victoria, AMD (Advanced Micro Devices), Amgen, Amino, ANSI (America, Big Panda, Ford Motor Company, Fractal Analytics, Fujitsu, Huawei, ICE (U.S. Immigration and Customs Enforcement), iDashboards, IEC (International Electrotechnical Commission), IEEE (Institute of Electrical and Electronics Engineers), Impetus Technologies, Infer, Infor, Seagate Technology, Tableau Software, Talena, Talend, Tamr, TARGIT, TCS (Tata Consultancy Services), TEOCO, Trifacta, UCB, Unravel Data, USCIS (U.S. Citizenship and Immigration Services), Valens, Verizon Communications, VMware, Vodafone Group, VoltDB, Western Digital Corporation, WiPro, Workday, Xevo, Xplenty, Yellowfin International, Yseop, Zendesk, Zoomdata, Zucchetti, Zurich Insurance Group and Others
List of Figures
Figure 1: Hadoop Architecture
Figure 2: Reactive vs. Proactive Analytics
Figure 3: Big Data Industry Roadmap
Figure 4: Big Data Value Chain 157
Figure 5: Key Aspects of Big Data Standardization
Figure 6: Global Big Data Revenue: 2017 - 2030 ($ Million)
Figure 7: Global Big Data Revenue by Submarket: 2017 - 2030 ($ Million)
Figure 8: Global Big Data Storage and Compute Infrastructure Submarket Revenue: 2017 - 2030 ($ Million)
Figure 9: Global Big Data Networking Infrastructure Submarket Revenue: 2017 - 2030 ($ Million)
Figure 10: Global Big Data Hadoop & Infrastructure Software Submarket Revenue: 2017 - 2030 ($ Million)

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