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세계의 데이터 마스킹 시장 규모, 점유율, 동향 분석 : 도입 형태별, 컴포넌트별, 유형별, 비지니스 기능별, 기업 규모별, 최종 용도별, 지역별 전망과 예측(2024-2031년)
Global Data Masking Market Size, Share & Trends Analysis Report By Deployment Mode (On-premise and Cloud), By Component (Solution and Services), By Type, By Business Function, By Enterprise Size, By End-use. By Regional Outlook and Forecast, 2024 - 2031
상품코드 : 1462126
리서치사 : KBV Research
발행일 : 2024년 04월
페이지 정보 : 영문 358 Pages
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한글목차

세계의 데이터 마스킹 시장 규모는 2031년까지 22억 달러에 달하며, 예측 기간 중 CAGR 11.8%로 성장할 것으로 예측되고 있습니다.

또한 AI와 ML 알고리즘은 개인 식별 정보(PII), 재무 데이터, 의료 기록과 같은 대규모 데이터 세트에서 민감한 데이터를 자동으로 감지하고 분류할 수 있습니다. 이 기능은 조직이 보호해야 할 데이터 요소를 식별하고 그에 따라 마스킹 기법을 적용할 수 있으므로 효과적인 데이터 마스킹에 필수적입니다. 결론적으로, AI와 머신러닝의 출현은 시장 성장을 가속할 것입니다.

그러나 조직은 여러 데이터 소스와 형식에 걸쳐 구조화된 데이터와 비정형 데이터를 포함한 다양한 유형의 기밀 정보를 포함하는 방대하고 다양한 데이터 세트를 보유하고 있는 경우가 많습니다. 이러한 다양한 데이터 세트에서 민감한 데이터를 식별, 분류, 마스킹하는 것은 어려울 수 있습니다. 따라서 복잡성과 구현의 어려움으로 인해 시장 성장에 걸림돌이 되고 있습니다.

목차

제1장 시장 범위와 조사 방법

제2장 시장 요약

제3장 시장 개요

제4장 세계의 데이터 마스킹 시장 : 도입 형태별

제5장 세계의 데이터 마스킹 시장 : 컴포넌트별

제6장 세계의 데이터 마스킹 시장 : 유형별

제7장 세계의 데이터 마스킹 시장 : 비지니스 기능별

제8장 세계의 데이터 마스킹 시장 : 기업 규모별

제9장 세계의 데이터 마스킹 시장 : 최종 용도별

제10장 세계의 데이터 마스킹 시장 : 지역별

제11장 기업 개요

제12장 데이터 마스킹 시장의 성공 필수 조건

KSA
영문 목차

영문목차

The Global Data Masking Market size is expected to reach $2.2 billion by 2031, rising at a market growth of 11.8% CAGR during the forecast period.

Many IT and telecom companies outsource certain functions or provide access to third-party vendors for various services. Consequently, the IT and telecom segment would generate 17.2% revenue share of the market by 2031. While this can streamline operations, it also increases the risk of data exposure. Data masking allows companies to share data with third parties for tasks like software development, testing, or analytics while protecting the confidentiality of sensitive information.

The introduction of stringent data privacy regulations such as the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and other global privacy laws has mandated organizations to protect sensitive information and ensure individuals' privacy rights are upheld. Therefore, the rising demand for data privacy solutions drives the market's growth.

Additionally, AI and ML algorithms can automatically discover and classify sensitive data within large datasets, including personally identifiable information (PII), financial data, and healthcare records. This capability is essential for effective data masking, as it enables organizations to identify which data elements need to be protected and apply masking techniques accordingly. In conclusion, the emergence of AI and machine learning propels the market's growth.

However, Organizations often have vast and diverse datasets containing various types of sensitive information, including structured and unstructured data, across multiple data sources and formats. Identifying, classifying, and masking sensitive data within such diverse datasets can be daunting. Thus, complexity and implementation challenges are hampering the market's growth.

By Deployment Mode Analysis

Based on deployment mode, the market is categorized as cloud and on-premise. In 2023, the cloud segment attained a 36.8% revenue share in the market. Cloud deployment offers scalability and flexibility, allowing organizations to scale their data masking capabilities based on changing business needs and data volumes. Cloud-based data masking solutions can quickly adapt to fluctuations in workload and demand, ensuring that organizations can effectively protect sensitive data regardless of scale or complexity.

By Component Analysis

By component, the market is bifurcated into solution and services. The solution segment witnessed 75.4% revenue share in the market in 2023. Organizations operate in increasingly complex data environments with data stored across various platforms, including databases, data warehouses, cloud services, and applications. Data masking solutions offer comprehensive tools and techniques to mask data consistently across these diverse environments, ensuring uniform protection of sensitive information.

By Type Analysis

On the basis of type, the market is segmented into static and dynamic. In 2023, the static segment attained a 33.9% revenue share in the market. In many organizations, sensitive production data is used for testing, development, or analytics purposes. Exposing this data to unauthorized users in non-production environments poses significant security and compliance risks. Static data masking allows organizations to mask production data permanently, ensuring that sensitive information is protected while retaining its utility for non-production purposes.

By Business Function Analysis

Based on business function, the market is divided into finance, legal, sales & marketing, human resource (HR), operations, and others. In 2023, the finance segment garnered 38.2% revenue share in the market. Financial institutions handle vast amounts of sensitive data, including personal and financial information of their customers. Data breaches in the finance sector can lead to severe financial losses, reputational damage, and legal liabilities.

By Enterprise Size Analysis

On the basis of enterprise size, the market is segmented into large enterprise and small & medium enterprise. The small & medium enterprise segment attained a 31.7% revenue share in the market in 2023. SMEs are increasingly targeted by cybercriminals due to the perception that they may have weaker cybersecurity defenses compared to larger enterprises. Data breaches can have devastating consequences for SMEs, including financial losses, reputational damage, and legal liabilities.

By End-Use Analysis

By end-use, the market is divided into retail & eCommerce, government, BFSI, healthcare, media & entertainment, manufacturing, IT & telecom, and others. The BFSI segment registered a 27.8% share in the market in 2023. BFSI companies handle vast amounts of sensitive customer financial data, including account numbers, credit card details, and transaction history. This information is highly valuable to cybercriminals seeking to conduct fraudulent activities, such as identity theft or financial fraud.

By Regional Analysis

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. In 2023, the Asia Pacific region generated a 28.5% revenue share in the market. Many countries in the Asia Pacific region are experiencing rapid digitization across various sectors, including healthcare. As organizations transition to digital platforms and electronic data storage systems, the need to protect sensitive information from unauthorized access becomes critical, driving the demand for data masking solutions.

Recent Strategies Deployed in the Market

List of Key Companies Profiled

Global Data Masking Market Report Segmentation

By Deployment Mode

By Component

By Type

By Business Function

By Enterprise Size

By End-use

By Geography

Table of Contents

Chapter 1.Market Scope & Methodology

Chapter 2.Market at a Glance

Chapter 3.Market Overview

Chapter 4.Global Data Masking Market by Deployment Mode

Chapter 5.Global Data Masking Market by Component

Chapter 6.Global Data Masking Market by Type

Chapter 7.Global Data Masking Market by Business Function

Chapter 8.Global Data Masking Market by Enterprise Size

Chapter 9.Global Data Masking Market by End-use

Chapter 10.Global Data Masking Market by Region

Chapter 11.Company Profiles

Chapter 12.Winning Imperatives of Data Masking Market

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