Global Data Quality Management Software Market Grows Steadily at a CAGR of 13.35%

Introduction

A key factor driving the expansion of the global data quality management software market is the rising adoption of cloud computing and widespread digital transformation efforts among enterprises. As organizations migrate their operations to cloud-based platforms, the volume and complexity of data being generated have surged, creating a growing need for effective tools to manage and maintain high data quality.

Additionally, the increased dependence on technologies such as advanced analytics, business intelligence (BI), and customer relationship management (CRM) systems has made it essential to ensure data is accurate, consistent, and complete. The rise of omnichannel strategies—particularly in sectors like retail, banking, and healthcare—further underscores the importance of smooth, high-quality data integration across platforms. Consequently, companies across various industries are boosting investments in data quality management solutions to enhance strategic decision-making and secure a competitive advantage.

Market Dynamic

Exponential growth of data across enterprises drives the global market

The rapid surge in data generation across enterprises has fueled a growing need for effective data quality management software. Modern organizations gather vast amounts of information from diverse sources such as customer engagements, IoT sensors, online retail platforms, and social media networks. This massive influx of data demands reliable systems to maintain its accuracy, consistency, and integrity.

• According to IDC, global data volume is expected to soar to 175 zettabytes by 2025, up from just 33 ZB in 2018. Enterprises contribute significantly to this trend, producing over 400 million terabytes of data daily, with a projected CAGR of 26%. Despite this, 36% of organizations admit they lack the necessary tools and infrastructure to manage data efficiently, even though 80% anticipate working with data at the zettabyte level.

Consequently, adopting advanced data quality solutions has become critical for businesses striving to stay competitive in the digital landscape.

Regulatory compliance creates tremendous opportunities

The surging global emphasis on data privacy and protection regulations is unlocking significant opportunities for the data quality management software market. With governments enacting more stringent rules to protect personal information, businesses are under increased pressure to ensure their data is accurate, complete, and secure.

• A notable example is the European Health Data Space (EHDS), which came into effect in March 2025. It introduces standardized electronic health records across EU member states, compelling healthcare providers to uphold high levels of data integrity, consistency, and interoperability. This shift is driving a rising demand for sophisticated data quality tools.

Such tools enable organizations to clean, verify, and standardize their data, helping them avoid regulatory fines and maintain smooth operations. As similar compliance mandates emerge across sectors like finance, retail, and public administration, investing in data quality solutions is becoming critical for minimizing risk and ensuring sustainable efficiency.

Regional Analysis

In North America, the demand for data quality management software is rapidly expanding due to the region’s mature IT infrastructure and high data dependency across industries. With the U.S. being a global hub for digital transformation, sectors such as healthcare, banking, and retail are adopting advanced data quality tools to maintain regulatory compliance and drive operational efficiency.

For instance, in 2023, U.S. hospitals increased investments in data quality platforms to align with HIPAA standards and enhance patient data accuracy. Additionally, the surge in e-commerce and customer personalization efforts is compelling companies like Walmart and Amazon to invest in AI-powered data cleansing and enrichment tools. Canada's push towards digital government services is also encouraging the public sector to adopt quality management software to maintain trustworthy citizen data. These developments underline the region’s pivotal role in driving the market forward.

Key Highlights

• The global data quality management software market size was valued at USD 2.23 billion in 2024 and is estimated to grow from USD 2.53 billion in 2025 to reach USD 6.89 billion by 2033, growing at a CAGR of 13.35% during the forecast period (2025–2033).
• By component, the global data quality management software market is segmented into software and services.
• By deployment mode, the market is categorized into on-premises and cloud-based.

• Based on organization size, the market is divided into large enterprises and small & medium enterprises (SMEs). The large enterprises segment dominated the market.

• By industry vertical, the market is segmented into banking, financial services and insurance (BFSI), healthcare & life sciences, retail & e-commerce, IT & telecom, government & public sector, manufacturing, energy & utilities, education, media & entertainment, and others.

• North America is the highest shareholder in the global market.

Competitive Players

1. Informatica
2. SAP SE
3. Oracle Corporation
4. SAS Institute Inc.
5. Talend
6. IBM Corporation
7. Precisely
8. Ataccama Corporation
9. Syncsort
10. Experian PLC

Recent Developments

• In June 2025- Atlan announced the launch of its Data Quality Studio for Snowflake, a cutting-edge solution aimed at redefining how organizations manage data quality within the Snowflake ecosystem. This innovative tool enables users to define and run data quality checks directly within Snowflake using Data Metric Functions (DMFs).

Segmentation

1. By Component:
   1. Software
   2. Data Cleansing
   3. Data Profiling
   4. Data Matching
   5. Data Monitoring
   6. Data Enrichment
   7. Services
   8. Professional Services
   9. Managed Services
   10. Consulting & Support Services
2. By Deployment Mode:
   1. On-Premises
   2. Cloud-Based
3. By Organization Size:
   1. Large Enterprises
   2. Small & Medium Enterprises (SMEs)
4. By Industry Vertical:
   1. Banking, Financial Services and Insurance (BFSI)
   2. Healthcare & Life Sciences
   3. Retail & E-commerce
   4. IT & Telecom
   5. Government & Public Sector
   6. Manufacturing
   7. Energy & Utilities
   8. Education
   9. Media & Entertainment
   10. Others