- In April 2024, IBM unveiled an upgrade to its IBM InfoSphere Information Server, incorporating advanced data quality enhancements. The updated platform features real-time data validation and cleansing capabilities, aimed at improving data governance and analytics. This upgrade is designed to empower organizations to manage their data more effectively, ensuring higher quality and reliability for informed decision-making
- In November 2023, Informatica introduced its innovative AI-driven Data Quality Platform, designed to enhance data management processes. This platform leverages advanced machine learning algorithms to automatically identify and rectify data anomalies, significantly boosting accuracy while minimizing the need for manual data cleansing. By streamlining these processes, Informatica’s solution aims to empower organizations to maintain high data quality more efficiently and effectively
- In February 2023, Ataccama, a prominent provider of unified data management platforms, announced an enhanced integration of its Ataccama ONE platform with Snowflake, the Data Cloud company. This integration introduces pushdown processing and data observability features, enabling shared customers to process data directly on Snowflake's unified platform. As a result, organizations can achieve faster, more cost-effective, and secure data outcomes, optimizing their data management processes
- In September 2022, DataCebo introduced Synthetic Data (SD) Metrics, a new tool developed as a spin-off from the MIT Computer Science and Artificial Intelligence Laboratory. This innovative solution allows businesses to assess and compare the quality of machine-generated synthetic data with actual datasets. By providing valuable insights into data fidelity, SD Metrics aims to enhance the reliability and effectiveness of synthetic data applications across various industries
Frequently Asked Questions
The market is segmented based on Segmentation, By Data Type (Customer Data, Product Data, Financial Data, Compliance Data, and Supplier Data), Business Function (Software and Services), Deployment Model (On-Premises and On-Demand), Organization Size (Large Enterprises, Small and Large Enterprises), Vertical (Banking, Financial Services and Insurance, Telecommunications and IT, Retail and E-Commerce, Healthcare and Life Sciences, Manufacturing, Government, Energy and Utilities, Media and Entertainment and Others) – Industry Trends and Forecast to 2031
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The Global Data Quality Tools Market size was valued at USD 1.59 USD Billion in 2023.
The Global Data Quality Tools Market is projected to grow at a CAGR of 18.2% during the forecast period of 2024 to 2031.
The major players operating in the market include , IBM , Informatica , Oracle , SAP , SAS Institute , TIBCO Software , Precisely , Tamr , RapidMiner , KNIME AG , The MathWorks , Alteryx , Crunchbase , Angoss Software Corporation , FICO , Teradata , Minitab LLC , BlueGranite , Microsoft , Pitney Bowes , Talend , Experian PLC , Trianz , Quadient TECHTARGET , Symphonic Source .
The market report covers data from the U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
