Global Big Data Security Market
Big data security is the implementation of various security measures, tools, regulations and other components that are used for enhancement and protection of data along with analytical processes associated with big data. These security measures are primarily focused on protection against thefts, breaches and various other lethal components in big data analysis. One of the usage of this technology is the continuous screening of data being presented for analysis which can be deemed corrupted if not monitored in a correct manner.
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The main factors boosting the market are:
The market is segmented on the basis of component as software, services; technology as identity & access management, security information & event management, intrusion detection systems, unified threat management, others; deployment model as on-premises, cloud; organization size as small & medium-sized enterprises, large enterprises; industry vertical as banking, financial services & insurance, telecommunications & IT, retail & e-commerce, healthcare & life sciences, manufacturing, government & defense, energy & utilities, media & entertainment.
Some of the recent market developments are as follows:
“According to Data Bridge Market Research, global big data security market is expected to reach USD 43.31 billion by 2025, growing at a healthy CAGR during the forecast period of 2019 to 2026”
Some of the major players operating in the market are Oracle, Microsoft, Symantec Corporation, IBM Corporation, Amazon Web Services,Inc., Cloudera, Inc., Hewlett Packard Enterprise Development LP, Gemalto NV, McAfee, LLC, Check Point Software Technologies Ltd, Zettaset, Pivotal Software, Inc., Imperva, Centrify Corporation, Thales eSecurity, LogRhythm, Proofpoint, Inc., Fortinet, Rapid7, Inc., Fireeye, Inc. among others.
With the increasing generation of Big Data from a number of different industries and various organization sizes especially from small-sized enterprises, the need for having enhanced solutions for handling and analyzing this large volume of data is important. Along with utilizing all of the latest technologies and solutions, another requirement is the availability of security services which can be implemented across different platforms and technologies which are flexible, easy to use and deploy.