Data Centric Security
Data Centric Security Market by Component (Professional Services, Software & Solutions), Function (Access Control, Data Classification, Data Loss Prevention), Deployment Mode, Organization Size, Vertical - Global Forecast 2024-2030
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[184 Pages Report] The Data Centric Security Market size was estimated at USD 6.29 billion in 2023 and expected to reach USD 6.97 billion in 2024, at a CAGR 11.18% to reach USD 13.22 billion by 2030.

Data-centric security is an approach that emphasizes the protection of data itself rather than focusing solely on protecting networks, servers, or applications. This paradigm shift prioritizes safeguarding data throughout its lifecycle, ensuring its integrity, confidentiality, and accessibility, irrespective of the location of the data or the interactions it may undergo. Core components of data-centric security include data discovery and classification, data obfuscation techniques, robust access controls, and continuous monitoring for malicious activities or anomalies. Rising data security risks across organizations require industries to adopt the security solutions fueling market growth. The growing adoption of technology across sectors and supportive government regulations for data security has further fueled the market demand. However, limitations in data-centric techniques and the high cost associated with data-centric security system installations hamper its market growth. The rise of advanced technologies such as cloud computing, the IoT, big data analytics, and artificial intelligence significantly shapes the data-centric security market.

Regional Insights

The Americas represent a significant landscaper in the data-centric security market attributed to the stringent regulatory mandates driving the adoption of data-centric security solutions. Moreover, the region is home to leading security solution providers and witnesses hefty investments in research & development activities, further accelerating market growth. It is also noteworthy that the presence of large, tech-savvy enterprises in this region leads to a heightened emphasis on data security to protect intellectual properties and maintain competitive advantages. Europe holds substantial growth in the market due to government regulations, which have profoundly impacted how data is managed and secured. The broad applicability and stringent penalties have compelled businesses within and outside EU borders to invest in robust data-centric security measures. Government initiatives in the Middle East and Africa highlight the increasing commitment to regional data security. Furthermore, the diverse socioeconomic landscape of MEA offers opportunities for tailor-made solutions that cater to unique needs and regulatory standards in different countries.

Data Centric Security Market
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Market Dynamics

The market dynamics represent an ever-changing landscape of the Data Centric Security Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

  • Market Drivers
    • Rising data security risk with growing technology adoption across industries
    • Supportive government regulations and initiatives for data security
    • Increasing shift towards data-centric security solutions
  • Market Restraints
    • High cost associated with installation and maintenance
  • Market Opportunities
    • Deployment and development of new technologies and growth in cloud-based security
    • Rising investment activities by the government and manufacturers
  • Market Challenges
    • Vulnerabilities and risks associated with deploying data-centric security solutions
Market Segmentation Analysis
  • Component: Potential utilization of data-centric security software & solutions

    These services primarily embody consultation, system integration, support, and maintenance services. The data indicates strong growth in adopting such services to facilitate efficient data protection strategies and conforming to regulatory requirements. Moreover, organizations often leverage these services to upgrade their systems and infrastructures to tackle next-generation data threats. The software & solutions segment of data-centric security comprises software tools, platforms, and other technical solutions that aid in securing an organization's data assets. The design of these software solutions can span from data masking & redaction, data discovery, and classification to encryption and tokenization. This software is developed to control unauthorized access, sharing, or leakage of sensitive data. Comprehensive solutions include encryption algorithms, key management, and access controls to protect data at rest, in transit, and during processing.

  • Function: Access control regulates and restricts access to sensitive data

    Access control is a fundamental component of data-centric security. It involves the implementation of policies and measures to regulate and restrict access to sensitive data, which includes authentication mechanisms, authorization processes, and the enforcement of access rights. Proper access control ensures that only authorized individuals or systems have the appropriate permissions to access, modify, or delete sensitive data. It helps prevent unauthorized access and protects against insider threats. Data classification involves categorizing data based on its sensitivity or importance. This function helps organizations identify and label data according to predefined levels of confidentiality, ensuring that appropriate security measures are applied to each category. Effective data classification is crucial for using targeted security measures and helps organizations prioritize their security efforts, focusing on protecting the most sensitive information. Data loss prevention is a group of tools and techniques designed to prevent unauthorized access, sharing, or leakage of sensitive data. It includes monitoring and control mechanisms to detect and respond to potential data breaches. Managed file transfer enables secure and efficient file transfers between different systems and includes encryption, file integrity checking, and detailed audit logs.

  • Deployment Mode: Adoption of on-cloud deployment mode among organizations

    On-cloud deployment refers to a service model where data-centric security solutions are hosted on the cloud infrastructure provided by a third-party cloud service provider. This deployment mode offers flexibility, scalability, and cost-effectiveness, as customers can access robust security solutions without needing significant capital investment in hardware. On-premises deployment involves installing and operating data-centric security solutions within the physical confines of an organization. This deployment model is preferred by organizations that require complete control over their data and security infrastructure. It is particularly common in industries that handle acute information, such as financial services, government, and healthcare. Organizations with strict regulatory and compliance requirements also seek on-premises solutions. Data-centric security solutions deployed on the cloud enable small and medium-sized enterprises (SMEs) to benefit from advanced security measures. In contrast, on-premises solutions provide large corporations and industries with regulated environments and the framework for stringent data governance.

  • Organization Size: High demand for data-centric security among large enterprises

    Large enterprises typically have extensive datasets and complex IT infrastructures, which makes them prime targets for cyber threats. Data-centric security allows large enterprises to implement robust measures to protect this extensive and diverse range of sensitive information. Data-centric security solutions are designed to integrate with and adapt to complex IT environments, providing a unified approach to securing data across different platforms and locations. Large enterprises are frequently subject to various regulatory requirements and compliance standards in different regions and industries. Data-centric security helps large enterprises meet regulatory compliance by ensuring that sensitive data is handled, stored, and transmitted by applicable laws and standards. SMEs often have more limited resources than their larger counterparts, which can restrict their ability to implement comprehensive data-centric security measures. Data-centric security solutions designed for SMEs are often scalable and cost-effective, allowing them to implement effective security measures without overwhelming their resources. This security system helps SMEs protect sensitive customer data, demonstrating a commitment to security and building customer trust.

Market Disruption Analysis

The market disruption analysis delves into the core elements associated with market-influencing changes, including breakthrough technological advancements that introduce novel features, integration capabilities, regulatory shifts that could drive or restrain market growth, and the emergence of innovative market players challenging traditional paradigms. This analysis facilitates a competitive advantage by preparing players in the Data Centric Security Market to pre-emptively adapt to these market-influencing changes, enhances risk management by early identification of threats, informs calculated investment decisions, and drives innovation toward areas with the highest demand in the Data Centric Security Market.

Porter’s Five Forces Analysis

The porter's five forces analysis offers a simple and powerful tool for understanding, identifying, and analyzing the position, situation, and power of the businesses in the Data Centric Security Market. This model is helpful for companies to understand the strength of their current competitive position and the position they are considering repositioning into. With a clear understanding of where power lies, businesses can take advantage of a situation of strength, improve weaknesses, and avoid taking wrong steps. The tool identifies whether new products, services, or companies have the potential to be profitable. In addition, it can be very informative when used to understand the balance of power in exceptional use cases.

Value Chain & Critical Path Analysis

The value chain of the Data Centric Security Market encompasses all intermediate value addition activities, including raw materials used, product inception, and final delivery, aiding in identifying competitive advantages and improvement areas. Critical path analysis of the <> market identifies task sequences crucial for timely project completion, aiding resource allocation and bottleneck identification. Value chain and critical path analysis methods optimize efficiency, improve quality, enhance competitiveness, and increase profitability. Value chain analysis targets production inefficiencies, and critical path analysis ensures project timeliness. These analyses facilitate businesses in making informed decisions, responding to market demands swiftly, and achieving sustainable growth by optimizing operations and maximizing resource utilization.

Pricing Analysis

The pricing analysis comprehensively evaluates how a product or service is priced within the Data Centric Security Market. This evaluation encompasses various factors that impact the price of a product, including production costs, competition, demand, customer value perception, and changing margins. An essential aspect of this analysis is understanding price elasticity, which measures how sensitive the market for a product is to its price change. It provides insight into competitive pricing strategies, enabling businesses to position their products advantageously in the Data Centric Security Market.

Technology Analysis

The technology analysis involves evaluating the current and emerging technologies relevant to a specific industry or market. This analysis includes breakthrough trends across the value chain that directly define the future course of long-term profitability and overall advancement in the Data Centric Security Market.

Patent Analysis

The patent analysis involves evaluating patent filing trends, assessing patent ownership, analyzing the legal status and compliance, and collecting competitive intelligence from patents within the Data Centric Security Market and its parent industry. Analyzing the ownership of patents, assessing their legal status, and interpreting the patents to gather insights into competitors' technology strategies assist businesses in strategizing and optimizing product positioning and investment decisions.

Trade Analysis

The trade analysis of the Data Centric Security Market explores the complex interplay of import and export activities, emphasizing the critical role played by key trading nations. This analysis identifies geographical discrepancies in trade flows, offering a deep insight into regional disparities to identify geographic areas suitable for market expansion. A detailed analysis of the regulatory landscape focuses on tariffs, taxes, and customs procedures that significantly determine international trade flows. This analysis is crucial for understanding the overarching legal framework that businesses must navigate.

Regulatory Framework Analysis

The regulatory framework analysis for the Data Centric Security Market is essential for ensuring legal compliance, managing risks, shaping business strategies, fostering innovation, protecting consumers, accessing markets, maintaining reputation, and managing stakeholder relations. Regulatory frameworks shape business strategies and expansion initiatives, guiding informed decision-making processes. Furthermore, this analysis uncovers avenues for innovation within existing regulations or by advocating for regulatory changes to foster innovation.

FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Data Centric Security Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Data Centric Security Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments
  • Lookout Increases Strategic Investment in Data-centric Cloud Security

    Lookout, Inc., a cloud security company, introduced new enhancements to its Lookout Cloud Security Platform. These updates are specifically designed to assist organizations in discovering, evaluating, and safeguarding their valuable data. The Lookout Cloud Security Platform offers a comprehensive solution for effectively securing data by enhancing visibility and controlling access across all applications. [Published On: 2023-10-25]

  • NextLabs Enhances its Zero Trust Data-Centric Security Software Suite for SAP

    NextLabs announced significant enhancements to their Data-Centric Security Suite for SAP, a comprehensive set of offerings designed to address the security needs of businesses in a zero trust environment. With these enhanced capabilities, organizations can now enforce least privilege access automatically, preventing unauthorized disclosure of sensitive information, and ensuring persistent protection of files through externalized authorization and data security control. [Published On: 2022-12-13]

  • Micro Focus’ CyberRes Partners with Google Cloud to Enable High-Scale Secure Cloud Analytics with Data Privacy

    CyberRes, a Micro Focus line of business, announced a strategic partnership with Google Cloud to empower the integration of Voltage SecureData, their end-to-end enterprise data protection solution, with BigQuery Remote Functions. This collaboration aims to provide customers with enhanced data security capabilities, allowing them to protect their data at every stage, including data in motion, at rest, and in use within the Google BigQuery platform. [Published On: 2022-08-03]

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Data Centric Security Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

Key Company Profiles

The report delves into recent significant developments in the Data Centric Security Market, highlighting leading vendors and their innovative profiles. These include BigID, Inc., Broadcom Inc, Concentric.Ai, Dig Security Solutions Ltd., Egnyte, Inc., Fasoo, Forcepoint, Fortra, LLC, Informatica Inc., Integrity Communications Ltd, International Business Machines Corporation, Lepide, McAfee, LLC, Micro Focus International plc by OpenText Corporation, NetApp, Inc, Netwrix Corporation, NextLabs, Inc., Orange Cyberdefense SA, PKWARE, Inc, Proofpoint, Inc., RiskOptics, Inc., Rohde & Schwarz GmbH & Co. KG, SEALPATH TECHNOLOGIES, S.L., Spirion, LLC, Varonis Systems, Inc., and Virtru.

Data Centric Security Market - Global Forecast 2024-2030
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Market Segmentation & Coverage

This research report categorizes the Data Centric Security Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Component
    • Professional Services
    • Software & Solutions
  • Function
    • Access Control
    • Data Classification
    • Data Loss Prevention
    • Managed File Transfer
  • Deployment Mode
    • On-Cloud
    • On-Premises
  • Organization Size
    • Large Enterprises
    • Small & Medium-Sized Enterprises
  • Vertical
    • Banking, Financial Services & Insurance
    • Government & Defense
    • Healthcare & Pharmaceuticals
    • IT & Enterprises
    • Retail & Supply Chain Management
    • Telecommunications

  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

This research report offers invaluable insights into various crucial aspects of the Data Centric Security Market:

  1. Market Penetration: This section thoroughly overviews the current market landscape, incorporating detailed data from key industry players.
  2. Market Development: The report examines potential growth prospects in emerging markets and assesses expansion opportunities in mature segments.
  3. Market Diversification: This includes detailed information on recent product launches, untapped geographic regions, recent industry developments, and strategic investments.
  4. Competitive Assessment & Intelligence: An in-depth analysis of the competitive landscape is conducted, covering market share, strategic approaches, product range, certifications, regulatory approvals, patent analysis, technology developments, and advancements in the manufacturing capabilities of leading market players.
  5. Product Development & Innovation: This section offers insights into upcoming technologies, research and development efforts, and notable advancements in product innovation.

Additionally, the report addresses key questions to assist stakeholders in making informed decisions:

  1. What is the current market size and projected growth?
  2. Which products, segments, applications, and regions offer promising investment opportunities?
  3. What are the prevailing technology trends and regulatory frameworks?
  4. What is the market share and positioning of the leading vendors?
  5. What revenue sources and strategic opportunities do vendors in the market consider when deciding to enter or exit?

Table of Contents
  1. Preface
  2. Research Methodology
  3. Executive Summary
  4. Market Overview
  5. Market Insights
  6. Data Centric Security Market, by Component
  7. Data Centric Security Market, by Function
  8. Data Centric Security Market, by Deployment Mode
  9. Data Centric Security Market, by Organization Size
  10. Data Centric Security Market, by Vertical
  11. Americas Data Centric Security Market
  12. Asia-Pacific Data Centric Security Market
  13. Europe, Middle East & Africa Data Centric Security Market
  14. Competitive Landscape
  15. Competitive Portfolio
  16. List of Figures [Total: 26]
  17. List of Tables [Total: 468]
  18. List of Companies Mentioned [Total: 26]
Data Centric Security - Protecting Your Company's Most Valuable Asset
December 12, 2023
BLOG
Data Centric Security - Protecting Your Company's Most Valuable Asset
Data is rapidly becoming a company's most beneficial asset as the world becomes increasingly digitalized. With the number of data breaches at an all-time high, ensuring your sensitive data is secure is more important than ever. This blog explores the concept of data-centric security and the reason it's essential for every organization.

Data-centric security is a strategy that focuses on securing sensitive data rather than just protecting access to it. This strategy is different from traditional security measures that focus on securing an organization's perimeter. Data-centric security ensures that both structured and unstructured data are protected, no matter where they are located or where they are being accessed.

The rising risk of data breaches drives companies to implement data-centric security. The more data you collect, the more people become a cyberattack target. Companies not investing in data-centric security are at a significant risk of severe financial damage.

Another critical factor in the need for data-centric security is the growing adoption of technology across all industries. As employees increasingly use devices outside company networks, like personal smartphones and tablets, the risk of data breaches rises. The only way to protect data is to secure each piece of data.

Implementing data-centric security strategies involves analyzing all the data you control, from data stored in the databases to data on smartphones. Some common data-centric security measures are implementing data classification policies, encryption, and data loss prevention technologies.

Data-centric security is crucial for any organization looking to protect its sensitive data. It's essential to implement strategies to secure every piece of data, no matter where it's stored or accessed. Companies not investing in data-centric security measures put themselves at significant financial and reputational risk.

Frequently Asked Questions
  1. How big is the Data Centric Security Market?
    Ans. The Global Data Centric Security Market size was estimated at USD 6.29 billion in 2023 and expected to reach USD 6.97 billion in 2024.
  2. What is the Data Centric Security Market growth?
    Ans. The Global Data Centric Security Market to grow USD 13.22 billion by 2030, at a CAGR of 11.18%
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    Ans. Most reports are fulfilled immediately. In some cases, it could take up to 2 business days.
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