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市场调查报告书
商品编码
1472169
2023-2030 年全球资料治理市场规模研究与预测(按组件、应用程式、部署、垂直和区域分析)Global Data Governance Market Size study & Forecast, by Component, by Application, by Deployment, by Vertical and Regional Analysis, 2023-2030 |
2022年全球资料治理市场价值约为27.5亿美元,预计在2023-2030年预测期内将以超过21.70%的健康成长率成长。资料治理是一组流程、策略、标准和指标,可确保资料作为组织内的策略资产进行管理。它涉及定义资料的收集、储存、处理和使用方式,以确保其品质、安全性和可用性。资料治理旨在为与资料相关的决策和行动建立明确的责任,帮助组织确保其资料符合监管要求并支援其业务目标。
在企业系统中,资料治理是指监控资料的安全性、完整性、可存取性和有用性,同时遵守指定资料使用方式的内部资料标准和策略。有效的资料治理可以防止不当使用,同时确保资料的一致性和可靠性。随着公司应对不断变化的资料隐私法规,并越来越依赖资料分析来优化营运和指导策略选择,其重要性也随之增加。指导委员会充当该计划的监督机构、治理团队和资料管理员的附属机构,通常包含在全面的资料治理计划中。根据探索主题提供的数据,到 2025 年可能会产生 181 zetta位元组的资料,估计每天产生 3.2877 亿 TB 的资料。由于数位技术和系统互连性的使用不断增加,与资料安全相关的威胁对于组织来说变得越来越严重。由于备受瞩目的骇客攻击和资料外洩凸显了资料治理流程不足的弱点,企业正在优先考虑强大的资料管理和治理框架。由于网路安全攻击,各种规模和各种行业的组织都面临严重的财务、营运和声誉风险。恶意行为者经常利用系统和网路中的漏洞未经授权存取私人资讯,这可能导致资料外洩、金钱损失和品牌声誉受损。因此,公司明白实施全方位的资料治理解决方案对于成功减少网路安全威胁有多重要,这推动了市场的扩张。然而,来自不同资料孤岛的资料整合会抑制 2023-2030 年预测期间的市场成长。
全球资料治理市场研究考虑的关键区域包括亚太地区、北美、欧洲、拉丁美洲以及中东和非洲。由于围绕资料隐私和保护的立法环境不断变化,北美资料治理市场在 2022 年占据了最大的收入份额。例如,《加州消费者隐私法》(CCPA) 提高了人们对资料隐私价值的认识。该地区的资料治理结构正在扩大,因为该地区对敏感资讯和个人资讯的收集、处理、共享和储存方面的企业实施了严格的监管。在预测期内,亚太地区预计将以最快的复合年增长率发展。亚太地区的政府和城市正在大力投资智慧城市计划,以改善基础设施、促进永续发展并改善公共服务,同时拥抱城市化和数位转型。这些项目主要依赖收集、分析和使用来自各种来源的资料,包括行动装置、公共服务和物联网感测器。因此,强大的资料治理框架变得越来越有必要来管理和控制智慧城市基础设施产生的大量资料,从而推动产业扩张。
研究的目的是确定近年来不同细分市场和国家的市场规模,并预测未来几年的价值。该报告旨在纳入参与研究的国家内该行业的定性和定量方面。
该报告还提供了有关驱动因素和挑战等关键方面的详细信息,这些因素将决定市场的未来成长。此外,它还纳入了利害关係人投资的微观市场的潜在机会,以及对主要参与者的竞争格局和产品供应的详细分析。
Global Data Governance Market is valued at approximately USD 2.75 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 21.70% during the forecast period 2023-2030. Data governance is a set of processes, policies, standards, and metrics that ensure that data is managed as a strategic asset within an organization. It involves defining how data is collected, stored, processed, and used to ensure its quality, security, and availability. Data governance aims to establish clear accountability for data-related decisions and actions, and it helps organizations ensure that their data meets regulatory requirements and supports their business objectives.
Within enterprise systems, data governance refers to monitoring the data's security, integrity, accessibility, and usefulness while adhering to internal data standards and policies that specify how the data is used. Effective data governance guards against inappropriate use while guaranteeing data consistency and reliability. Its significance increases as companies deal with changing data privacy regulations and depend more and more on data analytics to optimize operations and guide strategic choices. A steering committee, which acts as the initiative's oversight body, a governance team, and affiliation of data stewards is typically included in a thorough data governance programme. 181 zettabytes of data may probably be generated by 2025, according to numbers provided by exploring topics, with an estimated 328.77 million terabytes of data being created every day. The threats associated with data security are becoming more severe for organizations because of the growing usage of digital technologies and system interconnectivity. Businesses are prioritizing strong data management and governance frameworks because of high-profile hacks and data breaches that highlight the weaknesses in inadequate data governance processes. Organizations of all sizes and in a variety of industries face serious financial, operational, and reputational risks because of cybersecurity attacks. Malicious actors frequently take advantage of holes in systems and networks to access private information without authorization, which can result in data breaches, monetary losses, and harm to a brand's reputation. As a result, companies understand how critical it is to put in place all-encompassing data governance solutions to successfully reduce cybersecurity threats, which is fueling the market's expansion. However, the data integration from disparate data silos stifles market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global Data Governance Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North American data governance market held the largest revenue share in 2022 owing to the changing legislative landscape surrounding data privacy and protection. The California Consumer Privacy Act (CCPA), for example, promotes awareness of the value of data privacy. The region's data governance structure is expanding because of the strict regulations it places on businesses around the gathering, handling, sharing, and storage of sensitive and personal information. Over the course of the projection period, Asia Pacific is expected to develop with the fastest CAGR. Governments and municipalities in the Asia-Pacific region are substantially investing in smart city initiatives to improve infrastructure, advance sustainable development, and improve public services as they embrace urbanization and digital transformation. These projects mostly rely on gathering, analyzing, and using data from a variety of sources, including mobile devices, public services, and Internet of Things sensors. Because of this, strong data governance frameworks are becoming more and more necessary to manage and control the enormous volumes of data produced by smart city infrastructure, which is driving industry expansion.
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
List of tables and figures are dummy in nature, final lists may vary in the final deliverable
List of tables and figures are dummy in nature, final lists may vary in the final deliverable