Artificial Intelligence (AI) In Data Quality Market Report 2026

Artificial Intelligence (AI) In Data Quality Market Overview

• Artificial Intelligence (AI) In Data Quality market size has reached to $1.48 billion in 2025 • Expected to grow to $4.47 billion in 2030 at a compound annual growth rate (CAGR) of 24.7% • Growth Driver: Rise In Cloud Computing Adoption Fueling The Growth Of The Market Due To Enhancing Data Governance And Automation Through Artificial Intelligence (AI) In Data Quality • Market Trend: Integration Of Advanced Artificial Intelligence (AI) Technologies Enhancing Data Quality Automation And Accuracy • North America was the largest region in 2025.

What Is Covered Under Artificial Intelligence (AI) In Data Quality Market?

Artificial intelligence (AI) in data quality refers to the application of AI technologies to automate, enhance, and maintain the accuracy, consistency, completeness, and reliability of data across systems. AI-driven tools can detect and correct errors, identify anomalies, fill in missing values, deduplicate records, and ensure data complies with predefined standards. The main components of artificial intelligence (AI) in data quality are software and services. Software in artificial intelligence (AI) for data quality includes AI-driven tools designed to automate and enhance data quality processes such as cleansing, validation, and enrichment. These software solutions help organizations maintain accurate and reliable data, which is crucial for effective decision-making and operational efficiency. They are deployed through cloud-based and on-premise models to cater to different organization sizes, including small and medium-sized enterprises and large enterprises, and adopted across various industry verticals such as banking, financial services, and insurance (BFSI), information technology (IT) and telecommunications, healthcare, retail and e-commerce, manufacturing, government and public sector, and others.

What Is The Artificial Intelligence (AI) In Data Quality Market Growth Forecast?

The artificial intelligence (AI) in data quality market size is expected to see exponential growth in the next few years. It will grow to $4.47 billion in 2030 at a compound annual growth rate (CAGR) of 24.7%. The growth in the forecast period can be attributed to expansion of AI driven analytics, demand for real time data accuracy, growth of data fabric architectures, increasing automation in data operations, stricter data compliance requirements. Major trends in the forecast period include automated data cleansing and enrichment, AI driven data anomaly detection, continuous data quality monitoring, predictive data quality management, self learning data validation models.

Global Artificial Intelligence (AI) In Data Quality Market Segmentation

1) By Component: Software, Services 2) By Deployment Mode: Cloud-Based, On-premise 3) By Organization Size: Small And Medium-Sized Enterprises, Large Enterprises 4) By Industry Vertical: Banking, Financial Services, and Insurance (BFSI), Information Technology (IT) And Telecommunications, Healthcare, Retail And E-commerce, Manufacturing, Government And Public Sector, Other Industry Verticals Subsegments: 1) By Software: Data Profiling Tools, Data Cleansing Tools, Data Monitoring And Validation Tools, Data Integration Software, Master Data Management (MDM) Solutions, Metadata Management Tools, Predictive Data Quality Analytics 2) By Services: Professional Services, Managed Services, Consulting Services, Implementation And Integration Services, Training And Support Services

What Is The Driver Of The Artificial Intelligence (AI) In Data Quality Market?

The rise in cloud computing adoption is expected to propel the growth of artificial intelligence (AI) in the data quality market going forward. Cloud computing adoption refers to the shift from traditional on-premises IT infrastructure to cloud-based platforms, offering scalable, cost-efficient, and remotely accessible computing resources. Cloud adoption is largely driven by digital transformation initiatives across industries and the need for flexible and agile data management. Artificial intelligence (AI) enhances the quality of data in cloud environments by automating data profiling, cleansing, and validation, thus ensuring data accuracy and integrity for real-time decision-making. For instance, in December 2023, according to Eurostat, a Luxembourg-based statistical office of the European Union, cloud computing was used by 45.2% of EU enterprises in 2023, up 4.2 points from 2021, mainly for email, file storage, and office tools. Therefore, the rise in cloud computing adoption is driving growth in artificial intelligence (AI) in the data quality market.

Key Players In The Global Artificial Intelligence (AI) In Data Quality Market

Major companies operating in the artificial intelligence (AI) in data quality market are Alphabet Inc., Microsoft Corporation, Amazon Web Services, Accenture plc, International Business Machines Corporation (IBM), Oracle Corporation, SAP SE, Salesforce.com Inc., Experian plc., Collibra, Dataiku, Sas Institute Inc., Teradata, Informatica Inc., Snowflake Inc., Alteryx Inc., QlikTech International AB, Precisely Corporation, TIBCO Software Inc., Databricks Inc., Ataccama Corporation.

Global Artificial Intelligence (AI) In Data Quality Market Trends and Insights

Major companies operating in the artificial intelligence (AI) in data quality market are focusing on the integration of generative artificial intelligence to enhance data accuracy and operational efficiency. Generative artificial intelligence (GenAI) refers to AI systems designed to create new content, such as text, images, videos, audio, or code, based on patterns learned from existing data. For instance, in September 2023, Saama Technologies Inc., a US-based software company, introduced a Data Quality (DQ) Co-Pilot within its Smart Data Quality (SDQ) platform. This innovative feature leverages generative artificial intelligence (GenAI) to automate data quality checks. By allowing users to simply describe the desired data quality validation, the tool automatically generates and tests the corresponding code, significantly reducing manual effort and accelerating clinical trial workflows.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI) In Data Quality Market?

In January 2024, QlikTech International AB, a US-based data integration and analytics company, acquired Kyndi for an undisclosed amount. Through this acquisition, Qlik aims to strengthen its artificial intelligence (AI) capabilities by integrating Kyndi’s advanced natural language processing and AI-powered search technology into its platform. Kyndi is a US-based company specializing in natural language processing and AI software that enables businesses to extract actionable insights from unstructured data.

Regional Insights

North America was the largest region in the artificial intelligence (AI) in data quality market in 2025. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

What Defines the Artificial Intelligence (AI) In Data Quality Market?

The artificial intelligence (AI) in data quality market includes revenues earned by entities by providing services such as automated data profiling, anomaly detection, data cleansing, error reduction, and continuous monitoring. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in data quality market also includes sales of graphics processing units (GPUs), central processing units (CPUs), and high-performance memory. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Artificial Intelligence (AI) In Data Quality Market Report 2026?

The artificial intelligence (ai) in data quality market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (ai) in data quality industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.