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Aug, 30 2023

Big Data Security Safeguarding Data in the Digital Age

Big data security is critical to protect vast and sensitive data volumes. Applications span industries such as healthcare, finance, and e-commerce. Key features include encryption, access control, and anomaly detection. It ensures data confidentiality, integrity, and availability, safeguarding against cyber threats and data breaches. Moreover, big data security supports compliance with regulations such as GDPR and HIPAA. This robust security framework is crucial in enabling businesses to harness the potential of big data while maintaining data privacy and mitigating risks associated with large-scale data processing.

According to Data Bridge Market Research, the Global Big Data Security Market is accounted at USD 19.76 billion in 2021 and is expected to reach USD 52.16 billion by 2029. The market is expected to grow with a CAGR of 12.90% in the forecast period of 2022 to 2029.

“Increasing frequency and sophistication of cyber-attacks boosts the market’s growth”

The increasing frequency and sophistication of cyber-attacks worldwide have propelled the growth of the big data security market. As organizations handle massive volumes of sensitive data, protecting it from cyber threats becomes paramount. Big data security solutions offer advanced capabilities to detect, prevent, and respond to cyber threats in real-time. With the rising number of data breaches and cyber incidents, businesses are investing heavily in robust security measures to safeguard their data assets, driving the demand for big data security solutions and services to ensure comprehensive protection in today's interconnected digital landscape.

What restraints the growth of the global big data security market?

“Identifying and analyzing sensitive data restraints the market’s growth”

The process of identifying and analyzing sensitive data can pose challenges and constraints on the big data security market's growth. As data volumes grow exponentially, accurately identifying sensitive information becomes complex. Moreover, data encryption and access control require significant computational resources and may lead to performance trade-offs. Additionally, complying with evolving data protection regulations demands continuous updates and investments in security solutions. These factors may hinder the adoption of big data security measures, impeding the market's expansion despite the increasing need for robust data protection.

Segmentation: Global Big Data Security Market

The global big data security market is segmented on the basis of component, technology, deployment model, organization size and verticals.

  • On the basis of component, the market is segmented into software, and services.
  • On the basis of technology, the market is segmented into identity, access management, security information, event management, intrusion detection system, and unified threat management
  • On the basis of deployment model, the market is segmented into on-premises, cloud.
  • On the basis of organization size, the market is segmented into small and medium-sized enterprises, and large enterprises.
  • On the basis of verticals, the market is segmented into IT and ITES, telecommunications, healthcare and social assistance, financial and insurance, retail trade, utilities, and other verticals.

Regional Insights: North America dominates the Global Big Data Security Market

North America dominates the big data security market due to the region's early adoption of advanced technologies and widespread use of security solutions are expected to drive significant growth in the forecast period from 2022 to 2029. Additionally, the increasing implementation of enhanced security measures is projected to further boost market expansion during this period.

Asia-Pacific is expected to witness significant growth during the forecast period of 2022 to 2029 due to factors such as strong digital connectivity, growing cybersecurity awareness, and increased data transfer across borders. These factors contribute to the rising demand for security solutions and services in the region.

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Recent Developments

  • In August 2021, VMware has introduced the Vulnerability Management module for its Carbon Black Cloud Endpoint. By integrating this module, customers can consolidate essential security features into a single cloud-native agent and console. The new service enhances visibility and prioritizes risks, enabling security teams to focus on addressing exploitable vulnerabilities effectively.
  • In August 2021, MVISION Cloud from McAfee Enterprise has bolstered the security capabilities of Microsoft Dynamics 365, a suite of business resource planning and customer relationship management software tools. This integration utilizes a seamless API-based cloud-native approach, provided by MVISION Cloud's secure access service edge (SASE) offering.

The Prominent Key Players Operating in the Global Big Data Security Market Include:

  • FlexEnable Limited (U.K.)
  • T+ink, Inc. (U.S.)
  • Brewer Science, Inc. (U.S.)
  • DuPont (U.S)
  • Palo Alto Research Center (PARC) Inc. (U.S.)
  • Interlink Electronics, Inc. (U.S)
  • Thin Film Electronics ASA (Norway)
  • ISORG (France)
  • Peratech Holdco Ltd (U.K.)
  • KWJ Engineering Inc., (U.S.)
  • Fujifilm Holding Corporation (Japan)
  • Canatu (Finland)
  • Interlink Electronics, Inc. (U.S.)
  • Tekscan, Inc. (U.S.)

Above are the key players covered in the report, to know about more and exhaustive list of global big data security market companies contact,

Research Methodology: Global Big Data Security Market

Data collection and base year analysis are done using data collection modules with large sample sizes. The market data is analyzed and estimated using market statistical and coherent models. In addition, market share analysis and key trend analysis are the major success factors in the market report. The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Global vs Regional and Vendor Share Analysis. Please request analyst call in case of further inquiry.

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