Daniel Saks
Chief Executive Officer
The data governance market is expanding rapidly—growing from US$ 3.8 billion in 2023 to a projected US$ 15.8 billion by 2034 at a 21.8% CAGR. As AI adoption accelerates, robust data governance has shifted from compliance checkbox to strategic imperative. From Databricks' Series I funding to emerging startups like Qala AG, these companies are redefining how enterprises govern data in the AI era. For go-to-market teams, understanding data governance is just as critical as knowing your ideal customer profile. Platforms like Landbase's agentic AI leverage these same governance principles to ensure AI-qualified audiences maintain the highest data quality standards.
Databricks provides a unified lakehouse platform that combines data engineering, data science, analytics, and machine learning in a single workspace. Its Unity Catalog offers centralized data governance for data and AI workloads, providing native capabilities like data catalogs, lineage tracking, and AI-driven data discovery and classification. Enterprises use Databricks to build lakehouse architectures that power large-scale analytics and AI applications while maintaining governance standards.
Lakehouse architecture unifies data and AI workflows, eliminating data silos that plague traditional architectures. Unity Catalog provides native governance for both structured and unstructured data with AI-driven data discovery and classification that reduce manual governance overhead. The platform's strong open-source roots with Apache Spark and Delta Lake ensure flexibility and avoid vendor lock-in. Databricks secured over $500 million in Series I funding, demonstrating significant investor confidence in the lakehouse approach to data governance.
Collibra offers an enterprise data intelligence platform that provides automated, federated governance across complex data environments. The platform includes AI Governance capabilities for cataloging AI use cases, workflow automation for policy enforcement, and comprehensive data lineage tracking. Collibra serves 30+ Fortune 100 companies including Adobe, HEINEKEN, and L'Oréal, helping them maintain data trust and compliance at scale.
Collibra earned Leader status in the 2025 Gartner Magic Quadrant for Data & Analytics Governance for the second consecutive year. The platform also achieved Leader status in the 2025 Forrester Wave for Data Governance Solutions and recognition as 4-time Google Cloud Technology Partner of the Year for Data Governance. Strategic acquisitions of Raito and Deasy Labs in recent years extend governance capabilities to unstructured data and LLMs, positioning Collibra for the AI governance era.
Collibra is a private company that has raised significant funding through strategic acquisitions. In recent years, the company acquired Raito and Deasy Labs to enhance its unified governance capabilities for AI and unstructured data.
Informatica provides an AI-powered cloud data management platform with comprehensive governance capabilities. Its CLAIRE AI engine automates governance processes, while Cloud Data Governance and Catalog (CDGC) provides centralized data cataloging and lineage. The platform recently introduced Unstructured Data Governance and AI Model Governance capabilities, along with an AI Agent Hub for autonomous data management.
Informatica earned Leader status in 5 Gartner Magic Quadrants in 2025, demonstrating comprehensive excellence across multiple data management disciplines. The Fall 2025 release includes an AI Agent Hub and autonomous data management capabilities that represent next-generation governance approaches. The platform provides comprehensive coverage across data quality, governance, integration, iPaaS, and metadata management for enterprises.
Informatica is a publicly traded company (formerly NASDAQ: INFA) that has undergone significant transformations including going private and returning to public markets. The company continues to invest heavily in AI-powered governance capabilities.
Alation provides an agentic data intelligence platform featuring an AI-driven data catalog with natural-language search capabilities. The platform includes agentic workflows for automating documentation and policy enforcement, along with a Data Products Marketplace for trusted AI-ready data products. With 120+ connectors for active metadata, Alation helps organizations make data discoverable and trustworthy across the enterprise.
Alation achieved 5X Leader status in the 2025 Gartner Magic Quadrant for Metadata Management Solutions, demonstrating sustained excellence. The platform earned Leader and Customer Favorite status in the Forrester Wave Data Governance Q3 2025 report. The Data Products Marketplace enables creation and sharing of trusted AI-ready data products, addressing a critical need as organizations scale AI initiatives. Major platform redesign launched in March 2024 with next-generation user interface and business lineage capabilities.
Alation has secured significant funding to support its agentic data intelligence platform development. The company launched a major platform redesign in March 2024 with next-generation capabilities, demonstrating continued innovation investment.
Atlan provides an active metadata platform with AI governance capabilities that delivers rapid adoption across data personas. The platform features DIY setup with fast time-to-value and achieves 90%+ adoption across personas within 90 days. Atlan's approach combines data catalog, lineage, and governance in a user-friendly interface that resonates with both technical and business users.
Atlan earned Visionary status in the 2025 Gartner Magic Quadrant for Data & Analytics Governance, elevated from the previous year. The platform achieved Leader status in the 2025 Forrester Wave for Data Governance Solutions and recognition as Snowflake Partner of the Year 2025 for Data Governance. The rapid adoption model reduces time-to-value compared to traditional governance platforms, with 90%+ adoption within 90 days demonstrating strong user engagement.
Atlan has secured significant funding to support its active metadata platform development. The company's recognition as Snowflake Partner of the Year 2025 for Data Governance demonstrates strong strategic partnerships and market momentum.
Ataccama provides an AI-powered data management and governance suite featuring an agentic AI platform that delivers AI-ready data 83% faster. The platform offers a unified solution for data quality, catalog, lineage, and governance, with autonomous AI agents for data curation. Ataccama's approach combines comprehensive governance capabilities with AI automation to accelerate data trust and readiness.
Ataccama achieved 4X Leader status in the 2025 Gartner Magic Quadrant for Augmented Data Quality Solutions for the fourth consecutive year. The platform earned Leader status in the 2026 Forrester Wave for Data Quality Solutions. Strategic partnership with Snowflake Ventures in 2025 validates the agentic data trust platform approach. The Ataccama × Deloitte × AWS partnership accelerates trusted data delivery for AI workloads.
Ataccama secured a strategic investment from Snowflake Ventures in 2025, validating its agentic data trust platform and autonomous AI agents approach. This partnership enhances Ataccama's ability to deliver trusted data for AI workloads in Snowflake environments.
BigID provides a data security and privacy platform with integrated governance capabilities, featuring AI-powered data classification that ranked #1 in Intuit's accuracy test. The platform includes enterprise-grade DSPM (Data Security Posture Management) and pioneering AI Security Management for Shadow AI detection. BigID's approach bridges data security, privacy, and governance in a unified platform.
BigID holds patents for AI classification across 1,000s of data types in 100+ languages, providing unmatched breadth. The platform pioneered the first integration of data security and AI governance (AISPM), addressing the critical challenge of Shadow AI. Agentless, cloud-native deployment reduces implementation complexity compared to traditional security tools. BigID was selected as a DSP Vendor in the Gartner Guide for Data Security Platforms.
BigID has secured significant funding to support its AISPM (AI Security Posture Management) capabilities and data security governance platform. The company's pivot to AI security governance represents a strategic response to the growing challenge of Shadow AI and unmanaged AI deployments.
Microsoft Purview provides a unified data governance solution that integrates across the Microsoft ecosystem, including Azure, Microsoft 365, and Power BI. The platform offers AI-powered scanning for sensitive information, data discovery, classification, and risk assessment at scale. Purview's embedded approach leverages Microsoft's massive cloud infrastructure to provide governance without complex additional deployments.
Seamless integration with Azure, Microsoft 365, and Power BI reduces adoption friction for Microsoft-first organizations. The growing capability suite expanded significantly in 2025 with new AI governance features. Built-in advantage for Azure customers eliminates the need for third-party governance tools, reducing total cost of ownership. Unified governance across Microsoft's comprehensive enterprise stack provides consistency and reduces complexity.
Microsoft Purview benefits from Microsoft's massive market capitalization and continued investment in Azure and enterprise data capabilities. The platform continues to expand its feature set as part of Microsoft's broader data and AI strategy.
OneTrust provides a privacy and data governance cloud platform that bridges traditional data governance with AI requirements. The platform's Data Use Governance solution specifically addresses AI governance acceleration. OneTrust also offers universal consent management and privacy & AI preference management capabilities for comprehensive privacy-first governance.
OneTrust bridges the gap between traditional data governance and emerging AI requirements, addressing a critical market need. The platform automates data policy enforcement at machine speed, essential for organizations operating at scale. Comprehensive privacy management spans cookies, consent, and data subject access requests (DSAR). Recent product launches specifically target AI governance acceleration, the fastest-growing segment of the governance market.
OneTrust has secured significant funding to support its privacy and data governance platform development. Recent product launches demonstrate strategic investment in addressing the fastest-growing segment of the governance market.
Qala AG provides source-level data observability and compliance capabilities through a "shift-left" model that operates at the source code level. The platform offers real-time data mapping and live data flows, automated classification and continuous audit from source code, and policy enforcement directly in the development lifecycle. Qala's approach makes compliance continuous, automatic, and built into the development process.
The "shift-left" model for data compliance operating at source eliminates compliance lag that plagues traditional approaches. The founding team previously built Imburse Payments (acquired), demonstrating a track record of successful exits. Real-time visibility without refactoring existing workflows reduces adoption barriers for development teams. The platform represents a next-generation approach to continuous compliance that resonates with modern DevOps practices.
The importance of data governance platforms has never been clearer. With 79% of companies using AI in at least one business function, the quality and governance of underlying data directly impacts AI effectiveness. Organizations face a data quality crisis—only 36% have high-quality data and AI governance policies, while 95% of generative AI pilots are failing due to poor data foundations.
Regulatory pressure continues to intensify, with 88% of data leaders expecting data security to be a higher priority in 2025 than AI. The market responds with innovation and growing investment in cloud-based, AI-ready governance solutions.
For go-to-market teams, these same principles apply. Just as data governance platforms ensure data integrity for AI systems, AI-powered audience discovery requires precise, high-quality data to effectively identify and engage ideal customers. Platforms like Landbase's VibeGTM interface leverage similar AI and data quality principles to help sales and marketing teams build targeted prospect lists using natural language.
The principles that make data governance platforms successful—data quality, real-time signals, AI-powered insights, and precise targeting—are the same principles that drive effective go-to-market strategies. Just as these platforms help organizations govern their internal data, Landbase's company data platform helps B2B companies identify and engage their ideal customers.
Landbase's database includes 300 million+ contacts and 24 million+ companies with 1,500+ unique signals across firmographic, technographic, intent, hiring, and funding data. This rich data foundation, combined with agentic AI capabilities, enables sales and marketing teams to:
For B2B organizations competing in today's data-driven market, understanding data governance isn't just about compliance—it's about competitive advantage.
Data governance platforms ensure data quality, consistency, and compliance across an organization's data assets. They provide capabilities for data cataloging, lineage tracking, access control, policy enforcement, and regulatory compliance. In the AI era, these platforms have evolved to include AI governance capabilities that ensure AI models are trained on high-quality, compliant data. Gartner estimates that organizations without modern data governance approaches face significantly higher risks of data quality failures and compliance violations.
Artificial intelligence transforms data governance by automating manual processes like data classification, policy enforcement, and anomaly detection. AI-powered platforms can analyze thousands of data types in over 100 languages to identify sensitive information and enforce policies in real-time. AI also enables predictive governance by identifying potential compliance issues before they become problems. For organizations where 62% cite data governance as the top AI challenge, AI-powered governance capabilities are essential for success.
A robust data governance framework ensures data quality, reduces regulatory risk, enables better decision-making, and supports AI initiatives. Organizations with strong governance can trust their data for critical business decisions and AI applications. Poor data governance has significant costs—only less than half of organizations have high-quality data, and 95% of generative AI pilots fail due to poor data foundations. Effective governance also enables faster time-to-value for data initiatives and reduces compliance costs.
While Landbase isn't primarily a data governance platform, it applies similar data quality and AI principles to go-to-market automation. Landbase's agentic AI platform leverages 1,500+ unique signals across 300M+ contacts to ensure high-quality, AI-qualified audiences. The platform's AI Qualification capabilities ensure precision in prospect targeting, while real-time data enrichment maintains data accuracy. This approach mirrors enterprise data governance principles but applies them specifically to customer discovery and engagement for B2B sales and marketing teams.
Data governance is critical today because 79% of companies use AI in at least one function, and AI effectiveness depends entirely on data quality. Poor data governance leads to failed AI initiatives, regulatory penalties, and poor business decisions. The market reflects this importance—the data governance market is growing. For businesses competing in data-driven markets, effective governance isn't optional—it's essential for survival and growth.
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