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市場調查報告書
商品編碼
1472169
2023-2030 年全球資料治理市場規模研究與預測(按組件、應用程式、部署、垂直和區域分析)Global Data Governance Market Size study & Forecast, by Component, by Application, by Deployment, by Vertical and Regional Analysis, 2023-2030 |
2022年全球資料治理市場價值約為27.5億美元,預計在2023-2030年預測期內將以超過21.70%的健康成長率成長。資料治理是一組流程、策略、標準和指標,可確保資料作為組織內的策略資產進行管理。它涉及定義資料的收集、儲存、處理和使用方式,以確保其品質、安全性和可用性。資料治理旨在為與資料相關的決策和行動建立明確的責任,幫助組織確保其資料符合監管要求並支援其業務目標。
在企業系統中,資料治理是指監控資料的安全性、完整性、可存取性和有用性,同時遵守指定資料使用方式的內部資料標準和策略。有效的資料治理可以防止不當使用,同時確保資料的一致性和可靠性。隨著公司應對不斷變化的資料隱私法規,並越來越依賴資料分析來最佳化營運和指導策略選擇,其重要性也隨之增加。指導委員會充當該計劃的監督機構、治理團隊和資料管理員的附屬機構,通常包含在全面的資料治理計劃中。根據探索主題提供的數據,到 2025 年可能會產生 181 zetta位元組的資料,估計每天產生 3.2877 億 TB 的資料。由於數位技術和系統互連性的使用不斷增加,與資料安全相關的威脅對於組織來說變得越來越嚴重。由於備受矚目的駭客攻擊和資料外洩凸顯了資料治理流程不足的弱點,企業正在優先考慮強大的資料管理和治理框架。由於網路安全攻擊,各種規模和各種行業的組織都面臨嚴重的財務、營運和聲譽風險。惡意行為者經常利用系統和網路中的漏洞未經授權存取私人資訊,這可能導致資料外洩、金錢損失和品牌聲譽受損。因此,公司明白實施全方位的資料治理解決方案對於成功減少網路安全威脅有多重要,這推動了市場的擴張。然而,來自不同資料孤島的資料整合會抑制 2023-2030 年預測期間的市場成長。
全球資料治理市場研究涵蓋的關鍵區域包括亞太地區、北美、歐洲、拉丁美洲以及中東和非洲。由於圍繞資料隱私和保護的立法環境不斷變化,北美資料治理市場在 2022 年佔據了最大的收入佔有率。例如,《加州消費者隱私法》(CCPA) 提高了人們對資料隱私價值的認知。該地區的資料治理結構正在擴大,因為該地區對敏感資訊和個人資訊的收集、處理、共享和儲存方面的企業實施了嚴格的監管。在預測期內,亞太地區預計將以最快的年複合成長率發展。亞太地區的政府和城市正在大力投資智慧城市計劃,以改善基礎設施、促進永續發展並改善公共服務,同時擁抱城市化和數位轉型。這些項目主要依賴收集、分析和使用來自各種來源的資料,包括行動裝置、公共服務和物聯網感測器。因此,強大的資料治理框架變得越來越有必要來管理和控制智慧城市基礎設施產生的大量資料,從而推動產業擴張。
研究的目的是確定近年來不同細分市場和國家的市場規模,並預測未來幾年的價值。該報告旨在納入參與研究的國家內該行業的定性和定量方面。
該報告還提供了有關促進因素和挑戰等關鍵方面的詳細資訊,這些因素將決定市場的未來成長。此外,它還納入了利害關係人投資的微觀市場的潛在機會,以及對主要參與者的競爭格局和產品供應的詳細分析。
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