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1904694

資料分類市場預測至 2032 年：按組件、資料類型、組織規模、部署類型、安全性與合規重點、最終用戶和地區分類的全球分析

Data Classification Market Forecasts to 2032 - Global Analysis By Component (Solutions, Services and Other Components), Data Type, Organization Size, Deployment Mode, Security & Compliance Focus, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球資料分類市場價值將達到 42 億美元，到 2032 年將達到 150.4 億美元，在預測期內的複合年成長率為 20%。

資料分類是指根據資料的敏感度、價值以及對組織的風險等級，對資料進行組織和分類的過程。它明確了資料在其整個生命週期中應如何處理、儲存、存取和保護。透過分配諸如公共、內部、機密和受限等類別，組織可以應用適當的安全、合規和存取控制措施。資料分類有助於遵守監管規定、改善資料管治、降低資料外洩風險，並透過確保關鍵和敏感資料獲得比非敏感資訊更高層級的保護，實現高效的資訊管理。

全球資料隱私法規日益增多

GDPR、HIPAA 和 CCPA 等監管要求促使企業準確分類敏感資訊。數據分類透過識別、標記和保護個人及敏感數據，確保合規性。企業正投資自動化解決方案，以降低資料外洩和監管罰款的風險。雲端技術的普及和跨境資料流動進一步提升了對強大分類系統的需求。全球範圍內不斷加強的隱私法規正在推動市場成長。

熟練的資料安全專業人員短缺

熟練的資料安全專業人員短缺仍然是資料分類市場的主要阻礙因素。企業難以招募和留住能夠管理複雜分類框架的人才。這種技能缺口導致企業更加依賴外部顧問，內部採用速度也較慢。培訓和認證項目需要大量投資，增加了營運成本。中小企業在組建專門的資料管治團隊方面面臨更大的挑戰。熟練專業人員的匱乏阻礙了先進資料分類解決方案的廣泛應用。

人工智慧驅動的自動資料分類

機器學習演算法能夠即時識別和分類結構化和非結構化資料。自動化分類可減少人工操作，並提高大型資料集的準確性。與分析和合規平台的整合增強了企業的敏捷性和韌性。人工智慧驅動的解決方案還支援預測性管治和主動風險管理。人工智慧驅動的分類技術的應用正在推動市場出現顯著的成長機會。

違反監管規定可能面臨處罰

不遵守資料隱私法規會使公司面臨嚴厲的處罰和聲譽風險。監管違規帶來的處罰風險會阻礙企業延後分類投資。罰款、訴訟和客戶信任的喪失會造成巨大的財務負擔。公司必須不斷更新其分類系統，以適應不斷變化的法規結構。小規模的企業面臨平衡合規成本和營運預算的挑戰。監管違規的風險會削弱市場信心，並威脅永續成長。

新冠疫情的感染疾病：

新冠疫情加速了數位化進程，同時也揭露了資料管治的脆弱性。一方面，預算限制延緩了一些大規模資料分類計劃的發展；另一方面，遠距辦公和線上活動的激增凸顯了安全資料管理的重要性。疫情期間，企業面臨資料外洩和違規風險的增加。醫療保健和金融服務業尤其加大了對資料分類的投入，以保護敏感資訊。總而言之，新冠疫情凸顯了建構健全的資料分類架構對數位化企業的重要性。

預計在預測期內，結構化資料區段將佔據最大的市場佔有率。

在預測期內，結構化資料區段預計將佔據最大的市場佔有率，這主要得益於對金融、醫療保健和企業記錄進行安全分類的需求。結構化資料分類透過確保敏感欄位的準確標記，幫助企業滿足監管要求。企業依靠結構化框架來安全地管理資料庫和交易系統。隨著企業數位轉型的推進，對擴充性的分類解決方案的需求日益成長。與加密和監控平台的整合進一步增強了結構化資料管理。隨著企業將合規性和管治置於優先地位，結構化資料分類正在推動市場成長。

預計能源和公共產業板塊在預測期內將實現最高的複合年成長率。

預計在預測期內，能源和公共產業領域將實現最高成長率，這主要得益於關鍵基礎設施領域對安全管理營運和客戶資料的需求不斷成長。公共產業需要先進的分類框架來遵守嚴格的法規並保護敏感的電網資訊。能源監控和智慧電網中的巨量資料平台正在推動分類解決方案的普及。數位化轉型投資的增加也強化了對穩健管治的需求。人工智慧驅動的分析技術在公共產業的應用進一步凸顯了安全分類的必要性。

佔比最大的地區：

由於北美地區擁有先進的IT基礎設施、健全的法規結構以及企業對分類解決方案的早期採用，預計該地區將在預測期內保持最大的市場佔有率。主要技術提供者的存在和成熟的數位生態系統為大規模應用提供了支援。監管機構對合規性和隱私的關注正在推動對強大分類平台的投資。北美企業在其數據驅動型營運中優先考慮彈性和客戶信任。對安全雲和物聯網生態系統的高需求進一步促進了應用。北美成熟的數位環境正在推動數據分類市場的持續成長。

預計年複合成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於新興經濟體的快速工業化、不斷擴展的數位生態系統以及政府主導的數據管治舉措。中國、印度和東南亞等國家正大力投資安全分類基礎設施。電子商務、金融科技和醫療保健創新領域日益成長的需求正在推動先進分類解決方案的普及。當地企業正在採用經濟高效的平台來滿足其不斷成長的數位化需求。不斷擴展的數位生態系統正在強化分類在企業現代化過程中的作用。

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目錄

第1章執行摘要

第2章 前言

  • 摘要
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球資料分類市場（按組件分類）

  • 解決方案
    • 資料發現與編目工具
    • 元資料管理解決方案
    • 自動分類和標註引擎
    • 政策與合規管理工具
  • 服務
    • 諮詢和顧問服務
    • 整合和實施服務
    • 管理和外包服務
  • 其他部件

6. 全球資料分類市場（依資料類型分類）

  • 結構化資料
  • 半結構化數據
  • 非結構化數據
  • 其他資料類型

7. 按組織規模分類的全球資料分類市場

  • 中小企業
  • 主要企業

8. 全球資料分類市場依實施類型分類

  • 本地部署
  • 基於雲端的

9. 全球資料分類市場依安全和合規重點領域分類

  • 監理報告與合規
  • 資料主權和居住控制
  • 內部威脅與存取管治
  • 其他安全合規重點領域

第10章：全球資料分類市場（以最終用戶分類）

  • 能源與公共產業
  • 媒體與娛樂
  • 教育與研究
  • 運輸/物流
  • 其他最終用戶

第11章：全球資料分類市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第13章：企業概況

  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Amazon Web Services, Inc.
  • Google LLC
  • Broadcom Inc.
  • McAfee, LLC
  • Trend Micro Incorporated
  • Forcepoint LLC
  • Digital Guardian, Inc.
  • Varonis Systems, Inc.
  • Titus Inc.
  • Boldon James Ltd.
  • Spirion LLC
  • Netwrix Corporation
Product Code: SMRC32997

According to Stratistics MRC, the Global Data Classification Market is accounted for $4.2 billion in 2025 and is expected to reach $15.04 billion by 2032 growing at a CAGR of 20% during the forecast period. Data classification is the process of organizing and categorizing data based on its sensitivity, value, and level of risk to an organization. It helps identify how data should be handled, stored, accessed, and protected throughout its lifecycle. By assigning categories such as public, internal, confidential, or restricted, organizations can apply appropriate security controls, compliance measures, and access permissions. Data classification supports regulatory compliance, improves data governance, reduces the risk of data breaches, and enables efficient information management by ensuring that critical and sensitive data receives a higher level of protection than less sensitive information.

Market Dynamics:

Driver:

Rising data privacy regulations worldwide

Regulatory mandates such as GDPR, HIPAA, and CCPA require organizations to categorize sensitive information accurately. Data classification enables compliance by identifying, labeling, and securing personal and confidential data. Enterprises are investing in automated solutions to reduce risks of breaches and regulatory fines. Cloud adoption and cross-border data flows further amplify the need for robust classification systems. Rising global privacy regulations are propelling growth in the market.

Restraint:

Limited skilled data security professionals

The shortage of skilled data security professionals remains a significant restraint for the data classification market. Organizations struggle to recruit and retain talent capable of managing complex classification frameworks. This skills gap increases reliance on external consultants and slows internal adoption. Training and certification programs require substantial investment, adding to operational costs. Smaller enterprises face greater challenges in building dedicated data governance teams. Limited skilled professionals are restraining widespread adoption of advanced data classification solutions.

Opportunity:

AI-driven automated data classification

Machine learning algorithms enable real-time identification and categorization of structured and unstructured data. Automated classification reduces manual effort and improves accuracy across large-scale datasets. Integration with analytics and compliance platforms enhances enterprise agility and resilience. AI-driven solutions also support predictive governance and proactive risk management. Adoption of AI-enabled classification is fostering significant growth opportunities in the market.

Threat:

Regulatory non-compliance penalties risks

Non-compliance with data privacy regulations exposes enterprises to severe penalties and reputational risks. Regulatory non-compliance penalties risks discourage organizations from delaying classification investments. Fines, lawsuits, and customer trust erosion create significant financial burdens. Enterprises must continuously update classification systems to align with evolving regulatory frameworks. Smaller organizations face challenges in balancing compliance costs with operational budgets. Regulatory non-compliance risks are restraining confidence and threatening consistent growth in the market.

Covid-19 Impact:

The Covid-19 pandemic accelerated digital adoption while exposing vulnerabilities in data governance. On one hand, budget constraints delayed some large-scale classification projects. On the other hand, remote work and surging online activity highlighted the need for secure data management. Enterprises faced increased risks of breaches and compliance violations during the pandemic. Healthcare and financial services sectors particularly strengthened investments in data classification to protect sensitive information. Overall, Covid-19 reinforced the importance of resilient classification frameworks in digital enterprises.

The structured data segment is expected to be the largest during the forecast period

The structured data segment is expected to account for the largest market share during the forecast period driven by demand for secure categorization of financial, healthcare, and enterprise records. Structured data classification enables compliance with regulatory mandates by ensuring accurate labeling of sensitive fields. Enterprises rely on structured frameworks to manage databases and transactional systems securely. Demand for scalable classification solutions is rising as organizations expand digital adoption. Integration with encryption and monitoring platforms further strengthens structured data management. As enterprises prioritize compliance and governance structured data classification is accelerating growth in the market.

The energy & utilities segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the energy & utilities segment is predicted to witness the highest growth rate supported by rising demand for secure management of operational and customer data in critical infrastructure sectors. Utilities require advanced classification frameworks to comply with strict regulations and protect sensitive grid information. Big data platforms in energy monitoring and smart grids are driving adoption of classification solutions. Rising investment in digital transformation initiatives is reinforcing demand for robust governance. Integration of AI-driven analytics in utilities further amplifies the need for secure classification.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share driven by advanced IT infrastructure strong regulatory frameworks and early adoption of classification solutions by enterprises. The presence of leading technology providers and mature digital ecosystems supports large-scale deployments. Regulatory emphasis on compliance and privacy drives investment in robust classification platforms. Enterprises in North America prioritize resilience and customer trust in data-driven operations. High demand for secure cloud and IoT ecosystems further strengthens adoption. North America's mature digital landscape is fostering sustained growth in the data classification market.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR fueled by rapid industrialization expanding digital ecosystems and government-led data governance initiatives across emerging economies. Countries such as China, India, and Southeast Asia are investing heavily in secure classification infrastructures. Rising demand for e-commerce, fintech, and healthcare innovation strengthens adoption of advanced classification solutions. Local enterprises are deploying cost-effective platforms to meet growing digital needs. Expanding digital ecosystems are reinforcing the role of classification in enterprise modernization.

Key players in the market

Some of the key players in Data Classification Market include IBM Corporation, Microsoft Corporation, Oracle Corporation, Amazon Web Services, Inc., Google LLC, Broadcom Inc., McAfee, LLC, Trend Micro Incorporated, Forcepoint LLC, Digital Guardian, Inc., Varonis Systems, Inc., Titus Inc., Boldon James Ltd., Spirion LLC and Netwrix Corporation.

Key Developments:

In May 2024, IBM and AWS expanded their strategic collaboration to offer IBM watsonx.data on AWS, enabling clients to apply AI and governance policies across distributed data landscapes. This integration provides a unified engine for data classification and policy enforcement within hybrid cloud environments.

In April 2024, Oracle and Google Cloud significantly expanded their partnership with the general availability of Oracle Database@Google Cloud. This deep intercloud collaboration includes integrated go-to-market strategies, requiring robust, interoperable data governance and classification frameworks for enterprises operating in a multi-cloud environment.

Components Covered:

  • Solutions
  • Services
  • Other Components

Data Types Covered:

  • Structured Data
  • Semi-Structured Data
  • Unstructured Data
  • Other Data Types

Organization Sizes Covered:

  • Small & Medium Enterprises (SMEs)
  • Large Enterprises

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based

Security & Compliance Focuses Covered:

  • Regulatory Reporting & Compliance
  • Data Sovereignty & Residency Management
  • Insider Threat & Access Governance
  • Other Security & Compliance Focuses

End Users Covered:

  • Energy & Utilities
  • Media & Entertainment
  • Education & Research
  • Transportation & Logistics
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Data Classification Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
    • 5.2.1 Data Discovery & Cataloging Tools
    • 5.2.2 Metadata Management Solutions
    • 5.2.3 Automated Classification & Labeling Engines
    • 5.2.4 Policy & Compliance Management Tools
  • 5.3 Services
    • 5.3.1 Consulting & Advisory Services
    • 5.3.2 Integration & Implementation Services
    • 5.3.3 Managed & Outsourced Services
  • 5.4 Other Components

6 Global Data Classification Market, By Data Type

  • 6.1 Introduction
  • 6.2 Structured Data
  • 6.3 Semi-Structured Data
  • 6.4 Unstructured Data
  • 6.5 Other Data Types

7 Global Data Classification Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Small & Medium Enterprises (SMEs)
  • 7.3 Large Enterprises

8 Global Data Classification Market, By Deployment Mode

  • 8.1 Introduction
  • 8.2 On-Premise
  • 8.3 Cloud-Based

9 Global Data Classification Market, By Security & Compliance Focus

  • 9.1 Introduction
  • 9.2 Regulatory Reporting & Compliance
  • 9.3 Data Sovereignty & Residency Management
  • 9.4 Insider Threat & Access Governance
  • 9.5 Other Security & Compliance Focuses

10 Global Data Classification Market, By End User

  • 10.1 Introduction
  • 10.2 Energy & Utilities
  • 10.3 Media & Entertainment
  • 10.4 Education & Research
  • 10.5 Transportation & Logistics
  • 10.6 Other End Users

11 Global Data Classification Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 IBM Corporation
  • 13.2 Microsoft Corporation
  • 13.3 Oracle Corporation
  • 13.4 Amazon Web Services, Inc.
  • 13.5 Google LLC
  • 13.6 Broadcom Inc.
  • 13.7 McAfee, LLC
  • 13.8 Trend Micro Incorporated
  • 13.9 Forcepoint LLC
  • 13.10 Digital Guardian, Inc.
  • 13.11 Varonis Systems, Inc.
  • 13.12 Titus Inc.
  • 13.13 Boldon James Ltd.
  • 13.14 Spirion LLC
  • 13.15 Netwrix Corporation

List of Tables

  • Table 1 Global Data Classification Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Data Classification Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Data Classification Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global Data Classification Market Outlook, By Data Discovery & Cataloging Tools (2024-2032) ($MN)
  • Table 5 Global Data Classification Market Outlook, By Metadata Management Solutions (2024-2032) ($MN)
  • Table 6 Global Data Classification Market Outlook, By Automated Classification & Labeling Engines (2024-2032) ($MN)
  • Table 7 Global Data Classification Market Outlook, By Policy & Compliance Management Tools (2024-2032) ($MN)
  • Table 8 Global Data Classification Market Outlook, By Services (2024-2032) ($MN)
  • Table 9 Global Data Classification Market Outlook, By Consulting & Advisory Services (2024-2032) ($MN)
  • Table 10 Global Data Classification Market Outlook, By Integration & Implementation Services (2024-2032) ($MN)
  • Table 11 Global Data Classification Market Outlook, By Managed & Outsourced Services (2024-2032) ($MN)
  • Table 12 Global Data Classification Market Outlook, By Other Components (2024-2032) ($MN)
  • Table 13 Global Data Classification Market Outlook, By Data Type (2024-2032) ($MN)
  • Table 14 Global Data Classification Market Outlook, By Structured Data (2024-2032) ($MN)
  • Table 15 Global Data Classification Market Outlook, By Semi-Structured Data (2024-2032) ($MN)
  • Table 16 Global Data Classification Market Outlook, By Unstructured Data (2024-2032) ($MN)
  • Table 17 Global Data Classification Market Outlook, By Other Data Types (2024-2032) ($MN)
  • Table 18 Global Data Classification Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 19 Global Data Classification Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 20 Global Data Classification Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 21 Global Data Classification Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 22 Global Data Classification Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 23 Global Data Classification Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 24 Global Data Classification Market Outlook, By Security & Compliance Focus (2024-2032) ($MN)
  • Table 25 Global Data Classification Market Outlook, By Regulatory Reporting & Compliance (2024-2032) ($MN)
  • Table 26 Global Data Classification Market Outlook, By Data Sovereignty & Residency Management (2024-2032) ($MN)
  • Table 27 Global Data Classification Market Outlook, By Insider Threat & Access Governance (2024-2032) ($MN)
  • Table 28 Global Data Classification Market Outlook, By Other Security & Compliance Focuses (2024-2032) ($MN)
  • Table 29 Global Data Classification Market Outlook, By End User (2024-2032) ($MN)
  • Table 30 Global Data Classification Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 31 Global Data Classification Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 32 Global Data Classification Market Outlook, By Education & Research (2024-2032) ($MN)
  • Table 33 Global Data Classification Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
  • Table 34 Global Data Classification Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.