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Data Quality Tools Market Size, Share, Industry Trends and Forecast to 2030

Data Quality Tools Market Research Report – Segmented By Region (North America, Europe, Asia-Pacific, Middle-East & Africa, Latin America) – Analysis on Size, Share, Trends, COVID-19 Impact, Competitive Analysis, Growth Opportunities and Key Insights from 2019 to 2030.


  • Published date -30th Jan 2024

  • Formats -PDF, CSV

  • Region -Global

Market Size & CAGR of Data Quality Tools Market in 2021

The global data quality tools market size in 2021 was valued at USD 1.2 billion. The market is expected to grow at a CAGR of 15.3% from 2021 to 2026, reaching a value of USD 3.5 billion by the end of the forecast period. The increasing adoption of data quality tools by organizations to improve data accuracy, consistency, and reliability is driving the market growth.

COVID-19 Impact on the Data Quality Tools Market

The COVID-19 pandemic has accelerated the adoption of data quality tools across industries. Organizations have realized the importance of accurate and reliable data to make informed decisions during uncertain times. The demand for data quality tools increased as businesses shifted to remote work environments and digital transformation accelerated. Although the pandemic caused some disruptions in supply chains, the data quality tools market remained resilient and continued to grow.

Data Quality Tools Dynamics

The data quality tools market is driven by the increasing volume and complexity of data generated by organizations. With the rise of IoT devices, social media platforms, and digital transactions, companies are facing challenges in managing and analyzing large datasets. Data quality tools help address these challenges by ensuring data accuracy, completeness, and consistency. The growing focus on data governance and compliance is also driving the adoption of data quality tools across industries.

Segments and Related Analysis

The data quality tools market can be segmented based on type, deployment mode, organization size, industry vertical, and region. By type, the market can be divided into data profiling, data cleansing, data standardization, data monitoring, and others. Based on deployment mode, the market can be categorized as on-premises and cloud-based. By organization size, the market segments include small and medium-sized enterprises (SMEs) and large enterprises. In terms of industry vertical, the market can be segmented into BFSI, healthcare, retail, IT and telecom, government, and others.

By Region Analysis

The data quality tools market is segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. North America is expected to dominate the market due to the presence of key players, technological advancements, and early adoption of data quality solutions. Europe and Asia Pacific are also projected to experience significant growth in the data quality tools market, driven by increasing digitalization and regulatory compliance requirements.

Key Market Players and Competitive Landscape

Some of the key players in the data quality tools market include Informatica, IBM, SAP, Oracle, SAS Institute, Talend, Syncsort, Pitney Bowes, Experian, and Melissa Data. These companies are focusing on product innovations, partnerships, and acquisitions to gain a competitive edge in the market. The market is highly competitive, with players competing on factors such as product features, pricing, and customer service.

Recent Happenings in the Data Quality Tools Market

- In June 2021, Informatica announced the launch of Informatica Data Quality as a Service, a cloud-based data quality solution that helps organizations improve data quality and governance. - In August 2021, SAP acquired Signavio, a provider of business process management and data intelligence solutions, to enhance its data quality offerings. - In October 2021, IBM introduced IBM QualityStage, a data quality tool that helps organizations identify and resolve data quality issues for better decision-making. - In December 2021, SAS Institute partnered with Snowflake to offer a comprehensive data quality and analytics solution for enterprises looking to leverage their data assets more effectively.

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