Data-centric security is a vital aspect of information
security that focuses on protecting the data itself rather than the systems
that store or transmit it. With the increasing amount of data being generated
and shared by individuals and organizations, it is becoming increasingly
important to ensure that this data is protected from unauthorized access,
theft, or misuse. In this essay, we will discuss the concept of data-centric
security, its importance, and the various measures that can be taken to ensure
Data-centric security refers to a security approach that
puts the emphasis on protecting the data at the heart of the organization. In
this approach, the data is treated as the most important asset and is protected
throughout its lifecycle. This means that data is protected both when it is at
rest (stored in databases, servers, or other storage devices) and when it is in
transit (being transmitted over networks).
The importance of data-centric security cannot be
overstated. Data breaches have become all too common, with large organizations
being targeted by hackers looking to steal sensitive information such as
financial data, intellectual property, and personal information. These breaches
can result in financial loss, reputational damage, and legal liability, among
One of the key benefits of data-centric security is that it
provides a more granular level of protection than traditional security
approaches. Rather than simply protecting the systems and networks that store
and transmit data, data-centric security focuses on protecting the data itself.
This means that even if a hacker gains access to a system, they will not be
able to access the data without the necessary permissions.
There are several measures that can be taken to ensure
data-centric security. One of the most important is encryption. Encryption
involves scrambling the data in such a way that it can only be read by someone
who has the decryption key. This ensures that even if the data is intercepted,
it will be useless to anyone who does not have the key.
Another measure that can be taken is access control. Access
control involves restricting access to data based on a user's identity, role,
or level of authorization. This ensures that only those who are authorized to
access the data can do so.
Data masking is another technique that can be used to ensure
data-centric security. Data masking involves replacing sensitive data with
fictitious data so that it can be used for testing, development, or other
purposes without exposing the real data. This ensures that the sensitive data
remains protected even when it is being used for non-production purposes.
In conclusion, data-centric security is a crucial aspect of
information security that focuses on protecting the data itself. This approach
provides a more granular level of protection and ensures that even if a system
is compromised, the data will remain protected. Encryption, access control, and
data masking are some of the measures that can be taken to ensure data-centric
security. With the increasing amount of data being generated and shared, it is
becoming more important than ever to ensure that this data is protected from
unauthorized access, theft, or misuse.
Market Dynamics: Increasing Demand for Data-Centric Security
Solutions in Cloud-Based Environments
The demand for data-centric security solutions is on the
rise due to the increasing volume of data flowing freely in cloud-based
environments. As the workforce becomes more mobile, data is growing faster and
can be accessed from anywhere. This has resulted in large and small enterprises
looking for ways to protect their data in the cloud.
Leading companies such as IBM, Microsoft, and Google have
already dominated the cloud market by utilizing advanced technologies such as
AI and ML to analyze data. As a result, the need for data protection has become
critical for enterprises. For instance, Informatica's Intelligent Cloud
ServicesSM offers data protection through failover data centers, user
authentication, access controls, and encryption at the operating system, database,
and application levels.
The COVID-19 pandemic has also contributed to the increase
in demand for data-centric security solutions. With the adoption of new devices
and remote work patterns, the risk of data breaches has risen. In response, several
companies have developed data-centric security solutions and services to
protect data in cloud-based environments. For example, Cloudera offers the
latest version of its cloud data security solution to clients post-COVID.
The need for robust cloud-based data-centric security is
expected to increase, as 80% of attacks in 2020 were due to simple data
leakages and brute force attacks. As a result, enterprises will seek more
secure solutions and services to ensure the protection of their data in the cloud.
Data-centric Security Market
The degree of tolerance an organization has for
inconvenience and security breaches arising from internal vulnerabilities is
known as restraint. It is a common belief that only sophisticated security
devices can safeguard an organization from threats, but this notion overlooks
the two key drivers of information security risk: organizational culture and
behavior. Due to the complexity, memorization, and typing involved, many
organizations avoid using multiple passwords and extra keys. In addition, a
data-centric security approach is often deemed too daunting, causing many CISOs
to only protect data on disks, applications, and other technology segments.
However, such measures may prove ineffective when the data is transferred from
one layer to another, leaving internal data breaches unchecked by any security
The global market for data security is driven by several
factors such as the growing demand for technologies that secure cloud data, the
implementation of stringent laws and compliance, and the rising risks to
business information resulting from the use of advanced technologies like big
data analytics, artificial intelligence, and machine learning. Nevertheless,
the growth of the market is hindered by the organization's tolerance for
discomfort and security issues arising from internal weaknesses.
With the rise of data breaches, data-centric security vendors have a growing
opportunity to provide solutions that address critical vulnerabilities. Despite
significant investments in data protection and privacy-related infrastructure,
Informatica reported over 5,000 data breaches in 2019 with 8 billion records
exposed. Additionally, a quarter of all organizations faced severe cyberattacks
last year, with 83% of respondents in a Trend Micro survey predicting
successful attacks in the current year. Companies need to prioritize securing
data in the cloud, and the increase in data breaches among organizations is
likely to drive the adoption of data-centric security solutions in the near
of the major challenges faced by data-centric security solution vendors is the
lack of awareness among organizations regarding potential threats and security
solutions. The FBI has reported a significant increase in data leakage and
extortion due to this lack of awareness, resulting in a staggering USD 12.5
billion loss in 2018. Furthermore, an IBM report revealed that over 85% of the
8.5 billion data compromised in 2019 were due to incorrectly configured cloud
servers and other technologies. Instead of securing less crucial data within IT
infrastructure, data-centric security solutions prioritize safeguarding
sensitive information such as that found in documents and databases. These
solutions offer security for cloud technology and other systems while
protecting critical data, which is a top priority for businesses. As data
breaches continue to rise in organizations, data-centric security solutions are
likely to become more widely adopted in the coming years.
Healthcare & Pharmaceutical Segment and Asia Pacific Region to Experience
Significant Growth in Data-Centric Security Market
The healthcare & pharmaceutical segment is expected to
witness the highest growth rate during the forecast period. The healthcare
industry deals with personal health information and critical patient data,
making data security a top priority. The need to safeguard internal healthcare
data has also become increasingly important, as healthcare organizations often
focus on customer data protection rather than internal data protection.
Regulatory compliances such as HIPAA help secure sensitive data and protect
network gateways and databases. The increasing instances of medical record
thefts and awareness of regulatory compliances are expected to drive the
adoption of data-centric security solutions and services in the healthcare
& pharmaceutical segment.
In the Asia Pacific region, the data-centric security market
is projected to have the highest growth rate. The region has experienced a
surge in internet applications and vulnerable devices, leading to a rise in
ransomware attacks. Additionally, governments in the region have implemented
regulations that require enterprises to invest in data security measures or
face hefty penalties. As a result, the adoption of data-centric security
solutions is expected to increase among enterprises in the Asia Pacific region.
The current era is marked by a growing reliance on digital
and cloud computing trends, with many businesses relying on cloud networks for
various applications such as data storage, payment processing, and even running
their entire operations through the cloud. As a result of this increased
dependency on cloud technology in the business world, many small and
medium-sized enterprises have become increasingly interested in safeguarding
their data exchanged and stored through the cloud. Consequently, these
organizations are expected to increase their investments in data-centric
security solutions and services in the foreseeable future.
Digitization trends have led to a significant increase in
digital data production in recent decades, which is expected to continue in the
near future due to the widespread use of digital devices such as smartphones
and computers. This increase in data volume has also led to a growing need for
data-centric security solutions to protect both corporate and consumer data. As
a result, the market for data-centric security has experienced substantial
growth in recent years and is expected to continue growing over the forecast
One of the primary drivers of this growth is the increasing
demand for businesses of all sizes to secure their data in the cloud. For
example, Informatica's Intelligent Cloud Services SM provides encryption at
various levels, including computer systems, databases, applications, data
centers, user authentication, and network access. The risk of data breaches has
increased due to the introduction of new devices, security and accessibility
patterns, and methods required to maintain cloud infrastructure while working
from home. In response, several businesses have created data-centric security
products and services, especially during the pandemic.
The report provides a comprehensive analysis of the growth
prospects and restraints of the data-centric security market. It includes
Porter's five forces analysis of the industry to assess the impact of various
factors such as the bargaining power of suppliers, competitive intensity of
competitors, threat of new entrants, threat of substitutes, and bargaining
power of buyers on the data-centric security market trends.
In-depth competitive analysis of key players
- MICRO FOCUS
- VARONIS SYSTEMS
- ORANGE CYBERDEFENSE
- DIGITAL GUARDIAN
- NUCLEUS CYBER
Recent Developments in Data-Centric Security Market
Several developments have been made in the data-centric
security market in recent years. In May 2022, Informatica and Oracle announced a
partnership that will integrate Informatica’s Intelligent Data Management Cloud
with Oracle’s autonomous database, Oracle Exadata Database Service, and Oracle
Object Storage. This partnership aims to simplify migrations to OCI and enhance
data governance on OCI and IDMC.
In April 2022, Snowflake, a data cloud company, partnered
with Informatica to integrate the data cloud with Informatica’s Intelligent
Data Management Cloud. This partnership aims to improve the management of data
In April 2021, Google Cloud and Broadcom announced a
strategic collaboration to increase innovation and broaden cloud services
integration within Broadcom’s software franchises. The collaboration allows
Broadcom to provide its security and enterprise operations software on Google
Cloud, while Google Cloud’s data and analytics services will support Broadcom’s
business decisions and its customers.
In February 2021, IBM and Palantir Technologies joined
forces to deliver AI for businesses. The collaboration aims to simplify how
businesses build and deploy AI-infused applications with IBM Watson and help
users access, analyze, and act on vast amounts of data scattered across hybrid
In December 2020, Vertica announced a partnership with Tech
Mahindra to deliver predictive analytics for global enterprises. The
partnership aims to use advanced analytics and machine learning to analyze data
through high-performance processing.
In recent years, the data-centric security market has
witnessed significant growth due to the increasing prevalence of cyber-attacks
and data breaches. According to recent market research reports, the global
data-centric security market is expected to grow at a steady rate over the next
few years, reaching a valuation of several billion dollars by the end of the
One of the major factors driving the growth of this market
is the increasing adoption of cloud-based services by businesses of all sizes.
With more companies relying on cloud networks for storing and exchanging
sensitive data, the demand for robust data-centric security solutions has also
Furthermore, the implementation of stringent data protection
regulations such as the General Data Protection Regulation (GDPR) and the
California Consumer Privacy Act (CCPA) has also contributed to the growth of
the data-centric security market. Organizations are now required to comply with
these regulations and ensure that their data protection measures meet the
Moreover, the rise in adoption of advanced technologies such
as artificial intelligence (AI), machine learning (ML), and big data analytics
has further increased the need for effective data-centric security solutions.
These technologies generate large volumes of sensitive data, which need to be
protected against cyber threats and data breaches.
In conclusion, the data-centric security market is expected
to continue its growth trajectory in the coming years, driven by factors such
as increasing cloud adoption, stricter data protection regulations, and the
rise in adoption of advanced technologies.
We at Zettabyte Analytics have a
detailed and related research methodology focussed on estimating the market
size and forecasted value for the given market. Comprehensive research
objectives and scope were obtained through secondary research of the parent and
peer markets. The next step was to validate our research by various market
models and primary research. Both top-down and bottom-up approaches were
employed to estimate the market. In addition to all the research reports, data
triangulation is one of the procedures used to evaluate the market size of
segments and sub-segments.
1.1. Secondary Research
The secondary research study involves various sources and databases used
to analyze and collect information for the market-oriented survey of a specific
market. We use multiple databases for our exhaustive secondary research, such
as Factiva, Dun & Bradstreet, Bloomberg, Research article, Annual reports,
Press Release, and SEC filings of significant companies. Apart from this, a
dedicated set of teams continuously extracts data of key industry players and
makes an extensive and unique segmentation related to the latest market
1.2. Primary Research
The primary research includes gathering data from specific domain
experts through a detailed questionnaire, emails, telephonic interviews, and
web-based surveys. The primary interviewees for this study include an expert
from the demand and supply side, such as CEOs, VPs, directors, sales heads, and
marketing managers of tire 1,2, and 3 companies across the globe.
1.3. Data Triangulation
The data triangulation is very important for any market study, thus we
at Zettabyte Analytics focus on at least three sources to ensure a high level
of accuracy. The data is triangulated by studying various factors and trends
from both supply and demand side. All the reports published and stored in our
repository follows a detailed process to obtain a reliable insight for our
1.4. In-House Verification
To validate the segmentation
and verify the data collected, our market expert ensures whether our research
analyst is considering fine distinction before analyzing the market.
In the end,
presenting our research reports complied in a different format for straightforward
valuation such as ppt, pdf, and excel data pack is done.