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市場調查報告書
商品編碼
1733749
2026 年至 2032 年資料分類市場(按組件、方法、應用、最終用戶產業和地區分類)Data Classification Market by Component, Methodology, Application, End-User Industry, & Region for 2026-2032 |
企業對有效、安全地處理大量資料的需求不斷成長,加上資料外洩的可能性和監管挑戰的增加,推動了資料分類市場的大幅擴張。根據 Verified Market Research 分析師預測,資料分類市場規模將在 2024 年下降約 16.6466 億美元,預計 2032 年將達到 94.8625 億美元的估值。
對可靠的資料管理解決方案的需求不斷成長,這些解決方案有助於遵守嚴格的法規、保護敏感資料並最佳化資料利用率,這刺激了資料分類市場的快速擴張。這些解決方案使企業能夠做出明智的決策,同時降低資料外洩和不當行為的風險。這將有助於市場在 2026 年至 2032 年期間以 24.3% 的複合年成長率成長。
資料分類市場定義/概述
資料分類是根據資料的類型、敏感度和相關性進行系統分組,以便更有效地管理、保護和搜尋。這種方法允許公司根據資料分類等級應用適當的安全措施,這對於確保法規遵循、提高資料安全性和促進風險管理至關重要。
此外,資料分類具有廣泛的用途,包括網路安全(協助確定存取控制和保護措施)、合規管理(確保遵守 GDPR 等法律標準)以及業務效率(簡化資料處理流程並消除冗餘)。
資料外洩的增加迫使企業建立強大的資料分類系統。根據身分盜竊資源中心的《2021 年年度資料外洩報告》,2021 年發生了 1,862 起資料外洩事件,超過了 2017 年記錄的 1,506 起。這比 2020 年報告的 1,108 起資料外洩事件增加了 68%。
隨著向雲端運算的轉變,需要改進資料分類以確保安全性和合規性。 Gartner 預測,到 2025 年,超過 95% 的新數位工作負載將在雲端原生平台上實施,高於 2021 年的 30%。這種大規模遷移正在推動對改進資料分類技術的需求,以便在雲端環境中管理和保護資料。
此外,日益嚴格的監管要求公司採用資料分類系統。據歐盟網路安全局 (ENISA) 稱,自 2018 年 GDPR 生效以來,歐洲已報告了超過 281,000 起資料外洩事件,導致罰款超過 12.9 億歐元,凸顯了正確分類資料以確保合規和避免處罰的重要性。
資料分類領域缺乏專家阻礙了資料分類市場的發展。開發成功的資料分類系統需要了解複雜的資料管理和安全措施。然而,現有的人才短缺使得公司難以找到合格的員工來設計和管理這些系統,從而導致資料分類工作延遲和效率低下。
此外,對於許多企業,尤其是中小型企業來說,實施資料分類系統的成本很高。現代技術、持續維護和員工培訓的成本使預算緊張,導致公司推遲採用完整的數據分類策略,從而限制了市場成長。
The growing requirement for businesses to handle enormous volumes of data effectively and securely, along with the possibility of data breaches and mounting regulatory challenges, is propelling the data classification market's substantial expansion. According to the analyst from Verified Market Research, the data classification market is estimated to reach a valuation of USD 9486.25 Million in 2032 over the forecast subjugating around USD 1664.66 Million valued in 2024.
The increasing demand for reliable data management solutions that assist businesses in adhering to strict regulations, protecting confidential data, and optimizing data usage is fueling the data classification market's rapid expansion. These solutions enable businesses to make well-informed decisions while lowering the risk of data breaches and mismanagement. It enables the market to grow at a CAGR of 24.3% from 2026 to 2032.
Data Classification Market: Definition/ Overview
Data classification is the systematic organization of data into groups based on kind, sensitivity, and relevance, allowing for more efficient management, protection, and retrieval. This method is critical for guaranteeing regulatory compliance, improving data security, and facilitating risk management since it allows enterprises to implement appropriate security measures based on the categorization level of the data.
Furthermore, data classification has a wide range of applications, including cybersecurity, where it aids in the determination of access controls and protection policies; compliance management, which ensures adherence to legal standards such as GDPR; and operational efficiency, as it streamlines data handling processes and eliminates redundancy.
The increasing amount of data breaches is prompting firms to build strong data classification systems. According to the Identity Theft Resource Center's 2021 Annual Data Breach Report, there were 1,862 data breaches in 2021, more than the previous record of 1,506 set in 2017. This marks a 68% increase over the 1,108 breaches reported in 2020.
The transition to cloud computing necessitates improved data classification for security and compliance. Gartner anticipates that by 2025, more than 95% of new digital workloads will be implemented on cloud-native platforms, up from 30% in 2021. This tremendous transition is increasing the demand for improved data classification technologies to manage and secure data in cloud environments.
Furthermore, the increasing regulatory obligations require companies to employ data classification systems. According to the European Union Agency for Cybersecurity (ENISA), over 281,000 data breach notifications have been received across Europe since the GDPR went into effect in 2018. This has resulted in fines of more than €1.29 billion, stressing the importance of correct data classification to ensure compliance and avoid penalties.
The lack of qualified experts in the field of data classification is an obstacle for the data classification market. The complexities of developing successful data classification systems necessitate knowledge of data management and security measures. However, the existing talent gap makes it difficult for enterprises to locate qualified staff capable of designing and managing these systems successfully, thereby contributing to delays and inefficiencies in data classification initiatives.
Furthermore, the high costs of implementing data classification systems are prohibitive for many companies, particularly small and medium-sized businesses. The cost of modern technologies, continuous maintenance, and staff training put a strain on budgets, prompting organizations to delay implementing complete data classification strategies, thereby limiting market growth.
According to VMR analysis, the solutions segment is estimated to hold the largest market share during the forecast period. The growing demand for better data management skills is one of the factors driving this dominance. Organizations are looking for comprehensive solutions that not only categorize data but also integrate smoothly with existing systems, resulting in improved data governance and compliance. The desire for strong solutions that improve operational efficiency and security fuels the expansion of the solutions segment.
Concerns about data security and regulatory compliance are becoming more and more of a driver. As businesses confront the increased dangers of data breaches and severe regulations, they prioritize the installation of advanced data classification systems. These solutions assist firms in identifying and protecting sensitive information, establishing trust, and assuring legal compliance, which adds considerably to the segment's growth.
Furthermore, the growing growth of unstructured data is driving the solutions segment ahead. With the increasing number of data generated daily, organizations need excellent classification solutions to properly manage, retrieve, and utilize this data. The ability of these technologies to categorize large amounts of unstructured data into meaningful classifications improves data accessibility and security, cementing their market dominance.
The access control segment is estimated to dominate the data classification market during the forecast period. The growing prevalence of cyberattacks and data breaches, which force businesses to adopt strict access control procedures, is one factor contributing to this dominance. Businesses can reduce the risk of unauthorized access by classifying data based on sensitivity, ensuring that only authorized workers can view or change sensitive information.
The expanding regulatory environment, which requires stringent data protection procedures, is another driver. Regulations such as GDPR and HIPAA require enterprises to classify data to comply with legal standards. The need for compliance drives the demand for access control solutions, which assist firms in categorizing data properly and implementing the essential security processes to protect sensitive information.
Furthermore, the growth of remote work and cloud-based services has increased the demand for strong access control measures. As organizations rely more on digital platforms to run their operations, the ability to classify and limit data access becomes crucial. This transition not only increases security but also operational efficiency, reinforcing the access control segment's market leadership.
According to VMR Analyst, North America is estimated to dominate the data classification market during the forecast period. North America, particularly the United States, has a high rate of data breaches, necessitating the implementation of effective data classification technologies. According to the Identity Theft Resource Center's 2021 Annual Data Breach Report, the United States alone saw 1,862 data breaches in 2021, affecting more than 293 million people. Because of the rising frequency of breaches, enterprises are using advanced data classification systems to protect sensitive information.
Furthermore, North America has enacted a variety of data protection standards, mandating the usage of data classification technologies. The California Consumer Privacy Act (CCPA), which went into effect in 2020, affects more than 500,000 businesses in the United States alone. According to TrustArc's CCPA readiness survey, 79% of organizations reported spending over $100,000 on compliance, with 53% spending more than USD 1 Million, showing significant investment in data management and classification tools.
The Asia Pacific region is estimated to exhibit the highest growth within the market during the forecast period. The Asia Pacific region is undergoing rapid digital expansion, increasing data that must be identified and handled. According to IDC, the volume of data created in the Asia Pacific region is predicted to increase from 5.9 zettabytes in 2018 to 102.6 zettabytes in 2025, reflecting a 50% compound annual growth rate (CAGR). The tremendous increase in data volume is increasing the demand for robust data classification solutions.
The region is experiencing an increasing number of cybersecurity events, needing improved data classification for protection. The 2021 IBM Cost of a Data Breach Report discovered that the average overall cost of a data breach in ASEAN countries was USD 2.71 Million. In particular, India saw a 9.4% increase in the average cost of a data breach from 2020 to 2021, reaching USD 2.21 Million. These rising costs are pushing organizations to invest in data classification technologies.
Furthermore, many Asia-Pacific countries are developing or improving data protection legislation, which is pushing the adoption of data classification systems. For example, China's Personal Information Protection Law (PIPL) went into force in November 2021, affecting an estimated 1.4 billion individuals. Similarly, India's proposed Personal Data Protection Bill would have an impact on its population of more than 1.3 billion. These requirements require firms to establish extensive data classification procedures to ensure compliance.
The competitive landscape of the data classification market is characterized by a varied range of companies utilizing a variety of techniques to increase market presence and growth. Companies are increasingly focused on innovation, adopting new technologies like artificial intelligence and machine learning to increase the accuracy and efficiency of data classification procedures.
Some of the prominent players operating in the data classification market include:
OpenText
Covata
Varonis
Innovative Routines International (IRI)
Informatica
Dataguise
Spirion
Digital Guardian
Amazon Web Services (AWS)
Boldon James Ltd
Latest Developmentsc
In July 2023, Spirion announced new AI-driven data classification tools to improve sensitive information management and security across diverse data contexts.
In June 2023, Varonis launched new features to automate data classification and risk mitigation, reducing the risk of data breaches and ensuring regulatory compliance.