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기밀 데이터 디스커버리 시장 규모, 점유율, 성장 분석, 컴포넌트별, 조직 규모별, 전개 모드별, 용도별, 최종사용자별, 지역별 - 산업 예측(2025-2032년)
Sensitive Data Discovery Market Size, Share, and Growth Analysis, By Component, By Organization Size, By Deployment Mode, By Application, By End User, By Region - Industry Forecast 2025-2032
상품코드 : 1772655
리서치사 : SkyQuest
발행일 : 2025년 07월
페이지 정보 : 영문 191 Pages
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한글목차

기밀 데이터 디스커버리 세계 시장 규모는 2023년 66억 달러, 2024년 76억 5,000만 달러에서 2032년에는 249억 1,000만 달러에 이르고, 예측 기간(2025-2032년) CAGR은 15.9%를 나타낼 전망입니다.

세계 기밀 데이터 디스커버리 시장은 엄격한 데이터 프라이버시 규제로 인해 다양한 스토리지 환경에서 기밀 데이터를 식별, 분류, 관리할 수 있는 솔루션 도입이 요구되고 있습니다. 컴플라이언스 위반은 막대한 벌금과 명예훼손으로 이어질 수 있기 때문에 컴플라이언스 준수가 가장 중요합니다. 규제 환경의 변화에 따라 데이터 거버넌스 전략의 강화가 필요해지면서 시장 성장을 더욱 촉진하고 있습니다. 하이브리드 및 멀티 클라우드 환경에서 민감한 데이터가 급증하면서 가시성 및 제어에 어려움을 겪고 있으며, 침해 및 컴플라이언스 위반의 위험이 증가하고 있습니다. 기밀 데이터 검색 도구는 AI와 머신러닝을 활용하여 데이터 분류 및 모니터링을 자동화하여 효율성을 크게 향상시키고 운영 리스크를 줄입니다. 이러한 클라우드 네이티브 보안 솔루션으로의 전환은 오늘날의 디지털 환경에서 효과적인 데이터 거버넌스의 중요성을 더욱 확고히 하는 계기가 되고 있습니다.

목차

서론

조사 방법

주요 요약

시장 역학과 전망

주요 시장 인사이트

기밀 데이터 디스커버리 시장 규모 : 컴포넌트별&CAGR(2025-2032)

기밀 데이터 디스커버리 시장 규모 : 조직 규모별&CAGR(2025-2032)

기밀 데이터 디스커버리 시장 규모 : 전개 모드별&CAGR(2025-2032)

기밀 데이터 디스커버리 시장 규모 : 용도별&CAGR(2025-2032)

기밀 데이터 디스커버리 시장 규모 : 최종사용자별&CAGR(2025-2032)

기밀 데이터 디스커버리 시장 규모 : 지역별&CAGR(2025-2032)

경쟁 정보

주요 기업 개요

결론과 제안

LSH
영문 목차

영문목차

Global Sensitive Data Discovery Market size was valued at USD 6.6 billion in 2023 and is poised to grow from USD 7.65 billion in 2024 to USD 24.91 billion by 2032, growing at a CAGR of 15.9% during the forecast period (2025-2032).

The global sensitive data discovery market is driven by stringent data privacy regulations, compelling organizations to adopt solutions that identify, categorize, and manage sensitive data across various storage environments. Compliance is paramount, as non-compliance can result in hefty fines and reputational damage. The evolving regulatory landscape necessitates enhanced data governance strategies, further fueling market growth. The surge of sensitive data in hybrid and multi-cloud settings has created challenges in visibility and control, increasing the risk of breaches and compliance failures. Sensitive data discovery tools leverage AI and machine learning to automate data classification and monitoring, significantly enhancing efficiency and reducing operational risk. This shift towards cloud-native security solutions is driving demand and solidifying the importance of effective data governance in today's digital landscape.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Sensitive Data Discovery market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Sensitive Data Discovery Market Segments Analysis

Global Sensitive Data Discovery Market is segmented by Component, Organization Size, Deployment Mode, Application, End User and region. Based on Component, the market is segmented into Solution and Services. Based on Organization Size, the market is segmented into Small and Medium-Sized Enterprises and Large Enterprises. Based on Deployment Mode, the market is segmented into On-premises and Cloud. Based on Application, the market is segmented into Security and Risk Management, Compliance Management, Asset Management and Others. Based on End User, the market is segmented into BFSI, Government, Healthcare and Life Sciences, Retail, Manufacturing, Telecommunications and IT and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Sensitive Data Discovery Market

The growing emphasis on global data privacy regulations is a significant catalyst for the expansion of the sensitive data discovery market. Businesses are compelled to implement automated discovery solutions to maintain compliance, mitigate the risk of penalties, and safeguard consumer information. As regulatory frameworks become more stringent, organizations are prioritizing investments in AI-powered tools that facilitate real-time data classification and enhance security measures. This trend underscores the necessity for robust solutions capable of identifying and managing sensitive data effectively, positioning companies to navigate the evolving landscape of data privacy with confidence while protecting the integrity of customer information.

Restraints in the Global Sensitive Data Discovery Market

A significant barrier in the Global Sensitive Data Discovery market is the limited awareness among businesses, particularly small and mid-sized enterprises (SMEs), regarding the importance of sensitive data discovery solutions in the realms of cybersecurity and compliance. This lack of understanding about data-related risks, regulatory obligations, and the advantages of utilizing AI-driven tools results in hesitance towards adopting necessary technologies. Consequently, organizations remain exposed to potential data breaches and the risks of incurring regulatory penalties, which underscores the urgent need for increased education and resources to facilitate informed decision-making in data management practices.

Market Trends of the Global Sensitive Data Discovery Market

The global sensitive data discovery market is witnessing a significant transformation driven by the integration of artificial intelligence (AI) and machine learning (ML), revolutionizing data classification, risk assessment, and compliance processes. As organizations increasingly face evolving cybersecurity threats and stringent regulatory demands, the adoption of AI-powered solutions is becoming crucial for real-time data monitoring and management. This technological advancement not only minimizes manual interventions but also boosts accuracy and efficiency, thereby propelling market growth. Consequently, businesses are investing in sophisticated automation tools to safeguard sensitive information, enhance operational resilience, and ensure compliance, positioning themselves strategically in an increasingly digital landscape.

Table of Contents

Introduction

Research Methodology

Executive Summary

Market Dynamics & Outlook

Key Market Insights

Global Sensitive Data Discovery Market Size by Component & CAGR (2025-2032)

Global Sensitive Data Discovery Market Size by Organization Size & CAGR (2025-2032)

Global Sensitive Data Discovery Market Size by Deployment Mode & CAGR (2025-2032)

Global Sensitive Data Discovery Market Size by Application & CAGR (2025-2032)

Global Sensitive Data Discovery Market Size by End User & CAGR (2025-2032)

Global Sensitive Data Discovery Market Size & CAGR (2025-2032)

Competitive Intelligence

Key Company Profiles

Conclusion & Recommendations

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