데이터 품질 툴 시장 보고서 : 데이터 유형, 기능, 컴포넌트, 도입 유형, 조직 규모, 업종, 지역별(2025-2033년)

The global data quality tools market size reached USD 2.3 Billion in 2024. Looking forward, the market is expected to reach USD 8.0 Billion by 2033, exhibiting a growth rate (CAGR) of 14.9% during 2025-2033.

Data quality tools refer to various software applications that are used for analyzing datasets and converting them into meaningful information to identify and resolve problems. The tools perform functions such as data validation, standardization, monitoring, enrichment, cleansing, matching, parsing and data profiling. They are used by the organizations for processing data related to consumer behavior, products, suppliers, finances and marketing. They also aid in enhancing the accuracy, completeness and consistency of the information across various departments in the organization. Owing to this, these tools find extensive applications across various industries, including banking, financial services and insurance (BFSI), information technology (IT), telecommunications, healthcare, retail and manufacturing.

Significant growth in information technology (IT) industry is one of the key factors driving the growth of the market. Furthermore, the emerging trend of digitization across the globe, which has led to the creation of large volumes of digital business data, is also providing a boost to the market growth. In line with this, widespread adoption of data quality tools that are combined with data integration systems and mobile device management (MDM) products to create structured processes, manage tasks, track problems and maintain workflow efficiency in the organization, is also contributing to the market growth. Additionally, increasing product utilization in the healthcare and life science sectors is acting as another growth-inducing factor. Data quality tools are being increasingly used to maintain patient records, inventory, hospital systems, administration information and financial data. Apart from this, the development of cloud-based data quality tools and increasing integration with the Internet of Things (IoT) is also impacting the market growth positively.

Key Market Segmentation:

Breakup by Data Type:

Customer Data

Product Data

Financial Data

Compliance Data

Others

Breakup by Functionality:

Data Validation

Data Standardization

Data Enrichment and Cleansing

Data Monitoring

Others

Breakup by Component:

Software

Services

Professional Services

Managed Services

Breakup by Deployment Type:

Cloud-based

On-premises

Breakup by Organization Size:

Small and Medium Enterprises

Large Enterprises

Breakup by Vertical:

Banking, Financial Services and Insurance

Telecommunication and IT

Retail and E-Commerce

Healthcare and Life Science

Manufacturing

Government

Energy and Utilities

Media and Entertainment

Others

Breakup by Region:

North America

United States

Canada

Asia Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

Competitive Landscape:

The report has also analysed the competitive landscape of the market with some of the key players being Ataccama Corporation (Adastra Corporation), Experian PLC, International Business Machines, Informatica LLC, Information Builders Inc., Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Syncsort Incorporated, Talend Inc., Tamr Inc. and Trianz Inc.

Key Questions Answered in This Report

• 1. What was the size of the global data quality tools market in 2024?
• 2. What is the expected growth rate of the global data quality tools market during 2025-2033?
• 3. What are the key factors driving the global data quality tools market?
• 4. What has been the impact of COVID-19 on the global data quality tools market?
• 5. What is the breakup of the global data quality tools market based on the data type?
• 6. What is the breakup of the global data quality tools market based on the functionality?
• 7. What is the breakup of the global data quality tools market based on the component?
• 8. What is the breakup of the global data quality tools market based on the deployment type?
• 9. What is the breakup of the global data quality tools market based on the organization size?
• 10. What is the breakup of the global data quality tools market based on the vertical?
• 11. What are the key regions in the global data quality tools market?
• 12. Who are the key players/companies in the global data quality tools market?

Table of Contents

1 Preface

2 Scope and Methodology

• 2.1 Objectives of the Study
• 2.2 Stakeholders
• 2.3 Data Sources
  • 2.3.1 Primary Sources
  • 2.3.2 Secondary Sources
• 2.4 Market Estimation
  • 2.4.1 Bottom-Up Approach
  • 2.4.2 Top-Down Approach
• 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

• 4.1 Overview
• 4.2 Key Industry Trends

5 Global Data Quality Tools Market

• 5.1 Market Overview
• 5.2 Market Performance
• 5.3 Impact of COVID-19
• 5.4 Market Forecast

6 Market Breakup by Data Type

• 6.1 Customer Data
  • 6.1.1 Market Trends
  • 6.1.2 Market Forecast
• 6.2 Product Data
  • 6.2.1 Market Trends
  • 6.2.2 Market Forecast
• 6.3 Financial Data
  • 6.3.1 Market Trends
  • 6.3.2 Market Forecast
• 6.4 Compliance Data
  • 6.4.1 Market Trends
  • 6.4.2 Market Forecast
• 6.5 Others
  • 6.5.1 Market Trends
  • 6.5.2 Market Forecast

7 Market Breakup by Functionality

• 7.1 Data Validation
  • 7.1.1 Market Trends
  • 7.1.2 Market Forecast
• 7.2 Data Standardization
  • 7.2.1 Market Trends
  • 7.2.2 Market Forecast
• 7.3 Data Enrichment and Cleansing
  • 7.3.1 Market Trends
  • 7.3.2 Market Forecast
• 7.4 Data Monitoring
  • 7.4.1 Market Trends
  • 7.4.2 Market Forecast
• 7.5 Others
  • 7.5.1 Market Trends
  • 7.5.2 Market Forecast

8 Market Breakup by Component

• 8.1 Software
  • 8.1.1 Market Trends
  • 8.1.2 Market Forecast
• 8.2 Services
  • 8.2.1 Market Trends
  • 8.2.2 Major Types
    • 8.2.2.1 Professional Services
    • 8.2.2.2 Managed Services
  • 8.2.3 Market Forecast

9 Market Breakup by Deployment Type

• 9.1 Cloud-based
  • 9.1.1 Market Trends
  • 9.1.2 Market Forecast
• 9.2 On-premises
  • 9.2.1 Market Trends
  • 9.2.2 Market Forecast

10 Market Breakup by Organization Size

• 10.1 Small and Medium Enterprises
  • 10.1.1 Market Trends
  • 10.1.2 Market Forecast
• 10.2 Large Enterprises
  • 10.2.1 Market Trends
  • 10.2.2 Market Forecast

11 Market Breakup by Vertical

• 11.1 Banking, Financial Services and Insurance
  • 11.1.1 Market Trends
  • 11.1.2 Market Forecast
• 11.2 Telecommunication and IT
  • 11.2.1 Market Trends
  • 11.2.2 Market Forecast
• 11.3 Retail and E-Commerce
  • 11.3.1 Market Trends
  • 11.3.2 Market Forecast
• 11.4 Healthcare and Life Science
  • 11.4.1 Market Trends
  • 11.4.2 Market Forecast
• 11.5 Manufacturing
  • 11.5.1 Market Trends
  • 11.5.2 Market Forecast
• 11.6 Government
  • 11.6.1 Market Trends
  • 11.6.2 Market Forecast
• 11.7 Energy and Utilities
  • 11.7.1 Market Trends
  • 11.7.2 Market Forecast
• 11.8 Media and Entertainment
  • 11.8.1 Market Trends
  • 11.8.2 Market Forecast
• 11.9 Others
  • 11.9.1 Market Trends
  • 11.9.2 Market Forecast

12 Market Breakup by Region

• 12.1 North America
  • 12.1.1 United States
    • 12.1.1.1 Market Trends
    • 12.1.1.2 Market Forecast
  • 12.1.2 Canada
    • 12.1.2.1 Market Trends
    • 12.1.2.2 Market Forecast
• 12.2 Asia Pacific
  • 12.2.1 China
    • 12.2.1.1 Market Trends
    • 12.2.1.2 Market Forecast
  • 12.2.2 Japan
    • 12.2.2.1 Market Trends
    • 12.2.2.2 Market Forecast
  • 12.2.3 India
    • 12.2.3.1 Market Trends
    • 12.2.3.2 Market Forecast
  • 12.2.4 South Korea
    • 12.2.4.1 Market Trends
    • 12.2.4.2 Market Forecast
  • 12.2.5 Australia
    • 12.2.5.1 Market Trends
    • 12.2.5.2 Market Forecast
  • 12.2.6 Indonesia
    • 12.2.6.1 Market Trends
    • 12.2.6.2 Market Forecast
  • 12.2.7 Others
    • 12.2.7.1 Market Trends
    • 12.2.7.2 Market Forecast
• 12.3 Europe
  • 12.3.1 Germany
    • 12.3.1.1 Market Trends
    • 12.3.1.2 Market Forecast
  • 12.3.2 France
    • 12.3.2.1 Market Trends
    • 12.3.2.2 Market Forecast
  • 12.3.3 United Kingdom
    • 12.3.3.1 Market Trends
    • 12.3.3.2 Market Forecast
  • 12.3.4 Italy
    • 12.3.4.1 Market Trends
    • 12.3.4.2 Market Forecast
  • 12.3.5 Spain
    • 12.3.5.1 Market Trends
    • 12.3.5.2 Market Forecast
  • 12.3.6 Russia
    • 12.3.6.1 Market Trends
    • 12.3.6.2 Market Forecast
  • 12.3.7 Others
    • 12.3.7.1 Market Trends
    • 12.3.7.2 Market Forecast
• 12.4 Latin America
  • 12.4.1 Brazil
    • 12.4.1.1 Market Trends
    • 12.4.1.2 Market Forecast
  • 12.4.2 Mexico
    • 12.4.2.1 Market Trends
    • 12.4.2.2 Market Forecast
  • 12.4.3 Others
    • 12.4.3.1 Market Trends
    • 12.4.3.2 Market Forecast
• 12.5 Middle East and Africa
  • 12.5.1 Market Trends
  • 12.5.2 Market Breakup by Country
  • 12.5.3 Market Forecast

13 SWOT Analysis

• 13.1 Overview
• 13.2 Strengths
• 13.3 Weaknesses
• 13.4 Opportunities
• 13.5 Threats

14 Value Chain Analysis

15 Porters Five Forces Analysis

• 15.1 Overview
• 15.2 Bargaining Power of Buyers
• 15.3 Bargaining Power of Suppliers
• 15.4 Degree of Competition
• 15.5 Threat of New Entrants
• 15.6 Threat of Substitutes

16 Price Indicators

17 Competitive Landscape

• 17.1 Market Structure
• 17.2 Key Players
• 17.3 Profiles of Key Players
  • 17.3.1 Ataccama Corporation (Adastra Corporation)
    • 17.3.1.1 Company Overview
    • 17.3.1.2 Product Portfolio
  • 17.3.2 Experian PLC
    • 17.3.2.1 Company Overview
    • 17.3.2.2 Product Portfolio
    • 17.3.2.3 Financials
    • 17.3.2.4 SWOT Analysis
  • 17.3.3 International Business Machines
    • 17.3.3.1 Company Overview
    • 17.3.3.2 Product Portfolio
    • 17.3.3.3 Financials
    • 17.3.3.4 SWOT Analysis
  • 17.3.4 Informatica LLC
    • 17.3.4.1 Company Overview
    • 17.3.4.2 Product Portfolio
  • 17.3.5 Information Builders Inc.
    • 17.3.5.1 Company Overview
    • 17.3.5.2 Product Portfolio
  • 17.3.6 Microsoft Corporation
    • 17.3.6.1 Company Overview
    • 17.3.6.2 Product Portfolio
    • 17.3.6.3 Financials
    • 17.3.6.4 SWOT Analysis
  • 17.3.7 Oracle Corporation
    • 17.3.7.1 Company Overview
    • 17.3.7.2 Product Portfolio
    • 17.3.7.3 Financials
    • 17.3.7.4 SWOT Analysis
  • 17.3.8 SAP SE
    • 17.3.8.1 Company Overview
    • 17.3.8.2 Product Portfolio
    • 17.3.8.3 Financials
    • 17.3.8.4 SWOT Analysis
  • 17.3.9 SAS Institute Inc.
    • 17.3.9.1 Company Overview
    • 17.3.9.2 Product Portfolio
    • 17.3.9.3 SWOT Analysis
  • 17.3.10 Syncsort Incorporated
    • 17.3.10.1 Company Overview
    • 17.3.10.2 Product Portfolio
  • 17.3.11 Talend Inc.
    • 17.3.11.1 Company Overview
    • 17.3.11.2 Product Portfolio
  • 17.3.12 Tamr Inc.
    • 17.3.12.1 Company Overview
    • 17.3.12.2 Product Portfolio
  • 17.3.13 Trianz Inc.
    • 17.3.13.1 Company Overview
    • 17.3.13.2 Product Portfolio