Recent research and the current scenario as well as future market potential of "The Big Data Market: 2016 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals And Forecasts" globally.
Albany, NY -- (SBWIRE) -- 10/19/2016 -- 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.
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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 $46 Billion in 2016 alone. These investments are further expected to grow at a CAGR of 12% over the next four years.
The "Big Data Market: 2016 – 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 2016 through to 2030. The forecasts are further segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.
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The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.
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 150 Big Data ecosystem players
Strategic recommendations for Big Data hardware, software and professional services vendors and enterprises
Market analysis and forecasts from 2016 till 2030
Historical Revenue & Forecast Segmentation
Market forecasts and historical revenue figures are provided for each of the following submarkets and their subcategories:
Hardware, Software & Professional Services
Storage & Compute Infrastructure
Hadoop & Infrastructure Software
Analytic Platforms & Applications
Automotive, Aerospace & Transportation
Banking & Securities
Defense & Intelligence
Healthcare & Pharmaceutical
Smart Cities & Intelligent Buildings
Manufacturing & Natural Resources
Web, Media & Entertainment
Public Safety & Homeland Security
Retail, Wholesale & Hospitality
Utilities & Energy
Latin & Central America
Middle East & Africa
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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?
The report has the following key findings:
In 2016, Big Data vendors will pocket over $46 Billion from hardware, software and professional services revenues.
Big Data investments are further expected to grow at a CAGR of 12% over the next four years, eventually accounting for over $72 Billion by the end of 2020.
The market is ripe for acquisitions of pure-play Big Data startups, as competition heats up between IT incumbents.
Nearly every large scale IT vendor maintains a Big Data portfolio.
At present, the market is largely dominated by hardware sales and professional services in terms of revenue.
Going forward, software vendors, particularly those in the Big Data analytics segment, are expected to significantly increase their stake in the Big Data market.
By the end of 2020, SNS Research expects Big Data software revenue to exceed hardware investments by over $7 Billion.
List of Companies Mentioned
Alameda County Social Services Agency
Alpine Data Labs
AWS (Amazon Web Services)
Bank of America
Booz Allen Hamilton
CBA (Commonwealth Bank of Australia)
CETC (China Electronics Technology Group)
Chevron Technology Ventures
Chinese Ministry of State Security
CIA (Central Intelligence Agency)
CSA (Cloud Security Alliance)
CSC (Computer Science Corporation)
CSCC (Cloud Standards Customer Council)
DDN (DataDirect Network)
Dow Chemical Company
DT (Deutsche Telekom)
Dundas Data Visualization
Edith Cowen University
El Corte Inglés
Engineering Group (Engineering Ingegneria Informatica)
Ernst & Young
European Space Agency
FDNY (Fire Department of the City of New York)
Ford Motor Company
French DGSE (General Directorate for External Security)
GE (General Electric)
Glasgow City Council
GTRI (Georgia Tech Research Institute)
HDS (Hitachi Data Systems)
HPE (Hewlett Packard Enterprise)
IEC (International Electrotechnical Commission)
InetSoft Technology Corporation
Internap Network Services Corporation
ISO (International Organization for Standardization)
ITU (International Telecommunications Union)
JJ Food Service
Johnson & Johnson
JPMorgan Chase & Co.
KT (Korea Telecom)
L-3 Data Tactics
Looker Data Sciences
Manthan Software Services
McGraw Hill Education
Memphis Police Department
Meritech Capital Partners
MongoDB (Formerly 10gen)
NASA (National Aeronautics and Space Administration)
New York State Department of Taxation and Finance
NFL (National Football League)
NIST (National Institute of Standards and Technology)
Nottingham Trent University
NSA (National Security Agency)
NYSE (New York Stock Exchange)
ODaF (Open Data Foundation)
Oncor Electric Delivery
Open Data Center Alliance
OVG Real Estate
Proctor and Gamble
Royal Dutch Shell
Salient Management Company
Saudi Aramco Energy Ventures
Southern States Cooperative
TCS (Tata Consultancy Services)
The Hut Group
The Trade Desk
Think Big Analytics
Toyota Motor Corporation
U.S. Air Force
U.S. CBP (Customs and Border Protection)
U.S. Coast Guard
U.S. Department of Commerce
U.S. DHS (Department of Homeland Security)
U.S. ICE (Immigration and Customs Enforcement)
UN (United Nations)
Walt Disney Company
Zurich Insurance Group