Data Quality Tools Market Expected to Surge to USD 8.0 Billion by 2033, Driven by AI and Machine Learning Adoption
The global data quality tools market size was valued at USD 2.30 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 8.0 Billion by 2033, exhibiting a CAGR of 14.9% from 2025-2033.

Market Overview:
According to IMARC Group's latest research publication, "Data Quality Tools Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2025-2033", The global data quality tools market size was valued at USD 2.30 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 8.0 Billion by 2033, exhibiting a CAGR of 14.9% from 2025-2033.
This detailed analysis primarily encompasses industry size, business trends, market share, key growth factors, and regional forecasts. The report offers a comprehensive overview and integrates research findings, market assessments, and data from different sources. It also includes pivotal market dynamics like drivers and challenges, while also highlighting growth opportunities, financial insights, technological improvements, emerging trends, and innovations. Besides this, the report provides regional market evaluation, along with a competitive landscape analysis.
How AI is Reshaping the Future of Data Quality Tools Market
- AI-powered tools catch data errors fast, slashing manual work by up to 30%, boosting efficiency for businesses handling massive datasets daily.
- Governments push AI adoption with initiatives like India’s Skilling for AI Readiness, training youth for data quality roles in public services.
- Companies like Atlan, named a Visionary by Gartner, use AI to streamline governance, ensuring accurate data for smarter decisions.
- AI enhances real-time data validation, cutting compliance costs by up to 30% with automated checks for privacy regulations like GDPR.
- Moody’s leverages AI to clean data instantly, reducing errors and helping firms make reliable, data-driven choices across industries.
Key Trends in the Data Quality Tools Market
- AI-Powered Data Cleansing Takes Off: Companies are using AI to spot and fix data errors fast, boosting accuracy. For example, Informatica’s CLAIRE engine helps firms like Unilever clean massive datasets, cutting error rates by 30%. This saves time and builds trust in data-driven decisions.
- Real-Time Data Monitoring Gains Traction: Businesses now demand instant data quality checks for quick decisions. IoT and edge computing drive this, with 70% of firms adopting real-time tools to catch issues early, like banks reducing fraud alerts by 30%.
- Cloud-Based Tools Level the Playing Field: Cloud solutions make data quality tools affordable for smaller firms. With 64% of the market using cloud platforms, companies like Tamr help SMEs improve data accuracy without hefty upfront costs.
- Data Governance Becomes a Must-Have: Strong governance frameworks ensure data reliability. Regulations like GDPR push firms to adopt tools, with 60% reporting better analytics. IBM’s Watson aids compliance, reducing fines and boosting trust.
- Healthcare Drives Data Quality Needs: Hospitals use enterprise data warehouses to unify patient data, improving outcomes. GE Healthcare’s Edison Datalogue connects systems, helping 80% of providers enhance clinical decisions with cleaner data.
Growth Factors in the Data Quality Tools Market
- Surge in Data-Driven Decisions: Businesses are leaning on data to make smarter choices, driving demand for tools that ensure accuracy. About 70% of organizations prioritize data management for digital transformation, boosting tools like Informatica’s AI-driven platforms.
- Stricter Data Regulations: Governments are tightening rules like GDPR and India’s DPDP Act, pushing companies to use data quality tools for compliance. Over 66% of firms rely on these for regulatory adherence, enhancing trust and accountability.
- Boom in Big Data and IoT: Exploding data from IoT and social media demands robust quality tools. Companies like SAP integrate AI to clean complex datasets, with 80% of data initiatives now leveraging AI for automation.
- Cloud-Based Tool Adoption: Firms are shifting to scalable cloud solutions for cost-effective data management. Cloud deployments now account for 64% of market revenue, with Oracle leading in flexible, remote-access data quality platforms.
- AI and Machine Learning Integration: AI-powered tools like IBM’s InfoSphere are transforming data cleansing with automation. Around 52% of organizations are investing heavily in AI-driven data quality, cutting errors by 25% and boosting efficiency.
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Leading Companies Operating in the Global Data Quality Tools Industry:
- 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.
- Trianz Inc
Data Quality Tools 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)
- Europe (Germany, France, United Kingdom, Italy, Spain, Others)
- Asia Pacific (China, Japan, India, Australia, Indonesia, Korea, Others)
- Latin America (Brazil, Mexico, Others)
- Middle East and Africa (United Arab Emirates, Saudi Arabia, Qatar, Iraq, Other)
North America accounted for the largest market share of 38.7%. North America is experiencing accelerated adoption of digital technologies across sectors.
Recent News and Developments in Data Quality Tools Market
- March 2024: IBM launched its AI-powered Data Quality Suite designed to handle complex data structures and automate data cleansing processes across multiple enterprise systems, representing a significant shift toward intelligent automation in data quality management.
- March 2024: SAP SE unveiled new generative AI features within SAP Datasphere to improve data quality and accelerate business insights, with these innovations simplifying data landscapes and enhancing enterprise planning capabilities through AI-powered interaction tools.
- 2025: Software licenses maintained dominance at 70% revenue share in the data quality tools market, with vendors increasingly embedding machine learning within rules engines to automatically surface data outliers and recommend fixes, transforming traditional rule-based approaches into intelligent, self-improving systems.
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IMARC Group is a global management consulting firm that helps the world’s most ambitious changemakers to create a lasting impact. The company provide a comprehensive suite of market entry and expansion services. IMARC offerings include thorough market assessment, feasibility studies, company incorporation assistance, factory setup support, regulatory approvals and licensing navigation, branding, marketing and sales strategies, competitive landscape and benchmarking analyses, pricing and cost research, and procurement research.
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About the Creator
sujeet. imarcgroup
With 2 years of hands-on experience at IMARC Group, I have conducted in-depth market research and analysis across diverse industries including technology, healthcare, agriculture, and consumer goods.



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