Big Data Market Size, Share, Trends, History, Gross Margin and Forecasts To 2030

“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.



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Despite challenges relating to privacy concerns and organizational resistance,
Big Data investments continue to gain momentum throughout the globe. Report
Bazzar 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.



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.



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