Data quality market seen topping $4.95B by 2030

The Business Research Company says the global data quality market will rise from $2.66 billion in 2025 to $4.95 billion by 2030, powered by AI governance, cloud migration and real-time analytics. North America led the market in 2025, while Asia-Pacific is expected to grow fastest through the forecast period.

Why it matters: - Data quality is becoming a core layer of enterprise analytics as companies rely more on data-driven decisions. - The market’s projected growth signals higher spending on tools that validate, cleanse, standardize and govern data across business systems. - Stronger demand also reflects rising pressure from privacy rules, compliance requirements and the shift to cloud-based data platforms.

What happened: - The Business Research Company released its Data Quality Global Market Report 2026, covering market size, trends and forecasts for 2026-2035. - The report says the data quality market will grow from $2.66 billion in 2025 to $3.01 billion in 2026. - The report forecasts the market will reach $4.95 billion by 2030. - The report projects a 13.0% CAGR from 2025 to 2026 and a 13.2% CAGR through 2030. - North America held the largest share of the data quality market in 2025. - Asia-Pacific is expected to be the fastest-growing region during the forecast period. - The market analysis also covers South East Asia, Western Europe, Eastern Europe, South America, the Middle East and Africa. - The company offers a free sample of the report at Download a free sample of the data quality market report. - The full report is available at View the full data quality market report.

The details: - The report says historical growth was driven by surging enterprise data volumes, broader use of data warehousing, regulatory compliance demands, expanding business intelligence tools and early-stage digital transformation. - Future growth is expected to come from AI-powered data governance, real-time analytics ecosystems, cloud migration, tighter data privacy controls and automated monitoring. - The report highlights AI-enabled data quality automation and observability as key trends. - Other trends include cloud-native data governance platforms, real-time validation, streaming data quality management, master data management and self-healing data pipelines. - The report defines data quality as the tools, practices and methods used to keep data accurate, complete, consistent and reliable across enterprise systems and analytics platforms. - High-quality data supports validation, cleansing, standardization and governance for more trustworthy insights. - The report points to rising enterprise data volume as a major market driver. - The Organization for Economic Co-operation and Development said in May 2024 that the ICT sector, which depends heavily on data generation and processing, grew at an average rate of about 7.6% in 2023.

Between the lines: - The forecast suggests data quality is shifting from a back-office function to a foundational requirement for AI, analytics and compliance. - The emphasis on automation and observability points to demand for systems that reduce manual data cleanup and catch problems in real time. - Regional growth outside North America suggests enterprise modernization is broadening beyond mature markets.

What’s next: - The market is expected to keep expanding as more data moves into cloud environments and organizations adopt automated governance tools. - Vendors are likely to compete on real-time validation, self-healing pipelines and integrated observability features. - The Asia-Pacific region may narrow the gap with North America if adoption follows the forecast growth path.

The bottom line: - Data quality is becoming a bigger business priority, and the market outlook points to sustained double-digit growth through 2030.