市场调查报告书
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1466207
资料为中心的安全市场:按组件、功能、部署型态、组织规模和产业划分 - 2024-2030 年全球预测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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预计2023年资料为中心的安全市场规模为62.9亿美元,预计2024年将达到69.7亿美元,2030年将达到132.2亿美元,复合年增长率为11.18%。
资料为中心的安全性是一种强调保护资料本身的方法,而不仅仅是专注于保护网路、伺服器和应用程式。这种模式转移优先考虑在整个生命週期中保护资料,确保资料资料、机密性和可访问性,无论资料位置或互动如何。以资料为中心的安全性的核心元件包括资料发现和分类、资料混淆技术、强大的存取控制以及对恶意活动和异常的持续监控。整个组织中不断增加的资料安全风险要求各行业实施安全解决方案,从而推动市场成长。各细分市场越来越多地采用技术以及加强政府对资料安全的监管,进一步推动了市场需求。然而,资料为中心的技术具有局限性,并且与实施以资料为中心的安全系统相关的高成本阻碍了市场的成长。云端运算、物联网、巨量资料分析和人工智慧等尖端技术的兴起正在显着塑造以资料为中心的安全市场。
主要市场统计 | |
---|---|
基准年[2023] | 62.9亿美元 |
预测年份 [2024] | 69.7亿美元 |
预测年份 [2030] | 132.2亿美元 |
复合年增长率(%) | 11.18% |
组件:以资料为中心的安全软体和解决方案的潜在利用
这些服务主要包括咨询、系统整合、支援和维护服务。资料显示,公司正在迅速采用这些服务来促进高效的资料保护策略并满足监管要求。此外,企业经常利用这些服务来升级其係统和基础设施,以应对下一代资料威胁。资料为中心的安全软体和解决方案部门包括用于保护组织资料资产的软体工具、平台和其他技术解决方案。这些软体解决方案的设计范围从资料遮罩和重新编辑、资料发现和分类到加密和标记化。该软体旨在控制敏感资料的未授权存取、共用和洩漏。全面的解决方案包括加密演算法、金钥管理和存取控制,以保护静态、传输中和处理中的资料。
功能:存取控制规范和限制对敏感资料的存取。
存取控制是以资料为中心的安全性的基本要素。存取控制涉及实施政策和措施来规范和限制对敏感资料的访问,包括身份验证机制、核准过程和进入许可权的执行。适当的存取控制确保只有经过授权的个人或系统才具有存取、修改或删除敏感资料的适当权限。这有助于防止未授权存取并防范内部威胁。资料分类是根据资料的敏感度或重要性对资料进行分类。此功能允许组织根据预先定义的敏感度等级识别和标记资料,确保对每个类别应用适当的安全措施。有效的资料分类对于有针对性的安全工作至关重要,可以帮助组织优先考虑安全工作并将保护重点放在最敏感的资讯上。预防资料外泄是一组旨在防止未授权存取、共用和洩漏敏感资料的工具和技术。它还包括用于检测和回应潜在资料外洩的监视和控制机制。託管檔案传输可在不同系统之间实现安全且有效率的檔案传输,包括加密、文件完整性检查和详细的审核记录。
部署型态:在组织中采用云端部署型态
云端部署是指在第三方云端服务供应商提供的云端基础架构上託管以资料为中心的安全解决方案的服务模型。这种型态弹性、可扩展且经济高效,因为它提供了强大的安全解决方案,而无需在硬体上进行大量资本投资。本地部署在组织的实体范围内安装和运行以资料为中心的安全解决方案。这种部署模型是需要完全控制资料和安全基础设施的组织的首选。它在处理敏感资讯的行业中尤其常见,例如金融服务、政府和医疗保健。具有严格监管和合规性要求的组织也在寻求本地解决方案。部署在云端上的资料为中心的安全解决方案使中小型企业能够从先进的安全措施中受益。相比之下,本地解决方案是为具有法规环境和严格资料管治框架的大型企业和产业提供的。
组织规模:大型企业对以资料为中心的安全性的高需求
大型公司通常拥有庞大的资料集和复杂的IT基础设施,这使得它们很容易成为网路威胁的目标。资料为中心的安全性使大型企业能够实施强有力的措施来保护广泛而多样的敏感资讯。资料为中心的安全解决方案旨在整合并适应复杂的 IT 环境,并描述跨不同平台和位置保护资料的统一方法。大公司通常会受到基于地区和行业的不同监管要求和合规标准的约束。资料为中心的安全性可确保按照适用的法律和标准处理、储存和传输敏感资料,从而帮助大型企业满足法规遵循。中小型企业通常比大型企业拥有更有限的资源,这可能限制他们实施以资料为中心的全面安全措施的能力。专为中小型企业设计的以资料为中心的安全解决方案通常具有可扩展性且经济高效,使您能够在不占用资源的情况下实施有效的安全措施。此安全系统允许小型企业保护敏感的客户资料、展示对安全的承诺并建立客户信任。
区域洞察
美洲在以资料为中心的安全市场中占据关键地位,因为严格的监管环境正在推动以资料为中心的安全解决方案的采用。此外,该地区是主要安全解决方案提供者的所在地,并且在研发活动方面进行了大量投资,进一步加速了市场成长。另外值得注意的是,该地区拥有精通技术的大型公司,因此非常重视资料安全,以保护智慧财产权并保持竞争优势。由于政府法规对资料的管理和保护方式产生重大影响,欧洲维持了显着的市场成长。广泛的范围和严厉的处罚迫使欧盟内外的公司投资强大的资料为中心的安全措施。中东和非洲政府的倡议凸显了该地区对资料安全的日益关注。此外,中东和非洲地区多样化的社会经济格局使我们有机会为每个国家的独特需求和监管环境提供量身定制的解决方案。
FPNV定位矩阵
FPNV 定位矩阵对于评估以资料为中心的安全市场至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限。最前线 (F)、探路者 (P)、利基 (N) 和重要 (V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对以资料为中心的安全市场中供应商的现状进行深入而深入的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该细分市场竞争特征的宝贵见解,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1. 市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2. 市场开拓:我们深入研究利润丰厚的新兴市场,并分析其在成熟细分市场的渗透率。
3. 市场多元化:包括新产品发布、开拓地区、最新发展和投资的详细资讯。
4.竞争评估与资讯:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况、製造能力等进行全面评估。
5. 产品开发与创新:包括对未来技术、研发活动和突破性产品开发的智力见解。
1. 以资料为中心的安全市场的市场规模和预测是多少?
2.在以资料为中心的安全市场的预测期内,我们应该考虑投资哪些产品和应用?
3. 以资料为中心的安全市场的技术趋势和法规结构是什么?
4.以资料为中心的安全市场主要厂商的市场占有率是多少?
5. 进入以资料为中心的安全市场的适当型态和策略手段是什么?
[194 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.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 6.29 billion |
Estimated Year [2024] | USD 6.97 billion |
Forecast Year [2030] | USD 13.22 billion |
CAGR (%) | 11.18% |
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.
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.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Data Centric Security Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis 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: 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 examination of the current state of vendors in the Data Centric Security Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. 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 this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
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.
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Data Centric Security Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Data Centric Security Market?
3. What are the technology trends and regulatory frameworks in the Data Centric Security Market?
4. What is the market share of the leading vendors in the Data Centric Security Market?
5. Which modes and strategic moves are suitable for entering the Data Centric Security Market?