Data-centric security is an approach to information security that places the focus on protecting the data itself rather than solely relying on perimeter-based security measures. It involves implementing security measures and controls directly on the data, regardless of its location or the systems used to store, transmit, or process it. The goal of data-centric security is to ensure the confidentiality, integrity, and availability of data throughout its lifecycle. This approach typically involves implementing encryption, access controls, data classification, and monitoring mechanisms to safeguard sensitive data from unauthorized access, alteration, or disclosure.
Global Data Centric Security Market Driving Factors and Challenges
Organizations are investing in data centric security solutions to protect sensitive information from cyberattacks. The widespread use of cloud computing has resulted in a greater need for robust security measures to safeguard data across different cloud environments. Governments worldwide have implemented strict data protection regulations, requiring organizations to implement data centric security measures. Insider threats are being recognized as a significant risk, and data centric security solutions help monitor and prevent data leakage by insiders. The proliferation of big data and the need for actionable insights has led to the adoption of advanced analytics tools, which require data centric security to protect valuable datasets. The expansion of IoT devices in various industries has increased the complexity of data security, making data centric security solutions essential to protect IoT-generated data.
The Global Data Centric Security Market faces challenges due to the increasing sophistication of cyber threats, which require constant adaptation to evolving methods. Compliance with data privacy regulations like GDPR and CCPA adds complexity to implementing data centric security solutions. The rapid proliferation and diversity of data across various formats, locations, and platforms make consistent protection challenging. Insider threats pose a significant risk, necessitating the differentiation between authorized and unauthorized access, monitoring user activities, and detecting abnormal behaviour. Integrating data centric security solutions with complex IT environments, comprising legacy systems, third-party applications, and cloud services, can be problematic due to compatibility issues and data migration concerns. Addressing these challenges requires continuous innovation, collaboration, and a proactive security mindset.
Impact of COVID-19 on Global Data Centric Security Market
The COVID-19 pandemic has had a significant impact on the global data-centric security market. The shift to remote work and increased online activities resulted in a surge in cyberattacks and data breaches, emphasizing the need for strong data-centric security solutions. The adoption of cloud-based services and infrastructure accelerated during the pandemic, leading to a higher demand for data-centric security to protect sensitive data stored in the cloud. The rapid transition to remote work posed new challenges for data security, prompting organizations to implement stronger security measures and driving the demand for data-centric security solutions. The pandemic also highlighted the importance of data privacy, with organizations prioritizing compliance with regulations like GDPR and investing in data-centric security.
Data Centric Security Market Key Players:
The market study provides market data by competitive landscape, revenue analysis, market segments and detailed analysis of key market players such as; Broadcom Inc., Dathena Inc., Egnyte Inc., Fasoo Inc., Forcepoint Inc., HelpSystem Inc., IBM Corporation, Imperva Inc., Informatica Corporation, McAfee LLC, Micro Focus International PLC, NetApp Inc., Netwrix Corporation, NextLabs Inc., Nucleus Cyber Systems, Orange Cyberdefense Inc., Protegrity Inc., Talend S.A., Varonis Systems Inc., Others.
Global Data Centric Security Market Segmentation:
By Component: Based on the Component, Global Data Centric Security Market is segmented as; Professional Services, Software, Solutions.
By Deployment Mode: Based on the Deployment Mode, Global Data Centric Security Market is segmented as; Cloud, On-premise.
By Organization Size: Based on the Organization Size, Global Data Centric Security Market is segmented as; Large Enterprises, SMEs.
By Vertical: Based on the Vertical, Global Data Centric Security Market is segmented as; BFSI, Government & Defense, Healthcare & Pharmaceuticals, IT & Enterprises, Retail & Consumer Goods, Telecommunication, Others.
By Region: This research also includes data for Asia-Pacific, Europe, the Middle East and Africa, North America, and Latin America.
This study also encompasses various drivers and restraining factors of this market for the forecast period. Various growth opportunities are also discussed in the report.