Global Database Security report from Global Insight Services is the single authoritative source of intelligence on Database Security market. The report will provide you with analysis of impact of latest market disruptions such as Russia-Ukraine war and Covid-19 on the market. Report provides qualitative analysis of the market using various frameworks such as Porters’ and PESTLE analysis. Report includes in-depth segmentation and market size data by categories, product types, applications, and geographies. Report also includes comprehensive analysis of key issues, trends and drivers, restraints and challenges, competitive landscape, as well as recent events such as M&A activities in the market.
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Key Market Segments
The database security market bifurcated on the basis of business function, deployment type, organization size, end users, and region. On the basis of business function it is segmented into marketing, sales, finance, and operations. By deployment type, it is divided into cloud and on-premises. By organization type it is categorized into large enterprises, small scale, and medium sized enterprises. By end user, it is spread across retail & e-commerce, it & telecom, banking & financial services, and others. Region-wise, it is studied across North America, Europe, Asia-Pacific, and rest of the World.
Key Market Players
The database security market report includes players such as Oracle, IBM, McAfee, Trustwave, Fortinet, Cloudera, OneNeck, Zimcom, Netwrix, and Hashicorp.
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Key Trends
There are four key trends in database security technology which include encryption, data masking, tokenization, and database activity monitoring
Each of these trends is designed to address a specific security concern in databases.
Encryption is used to protect data at rest, meaning data that is stored in a database. When data is encrypted, it is converted into a code that can only be deciphered by authorized users. This prevents unauthorized users from accessing sensitive data.
Data masking is used to protect data in motion, meaning data that is being transmitted from one location to another. Data masking converts sensitive data into a non-sensitive format. This prevents unauthorized users from viewing the data in transit.
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