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Artificial Intelligence (AI) Data Lineage Market Overview: Major Segments, Strategic Developments, and Leading Companies
Data Lineage Artificial Intelligence (AI) Market
Projected Growth and Market Size of the Data Lineage Artificial Intelligence AI Market
The data lineage AI market is projected to grow significantly, reaching a value of $6.23 billion by 2030. This impressive expansion corresponds to a compound annual growth rate (CAGR) of 22.6%. The anticipated growth is fueled by factors such as AI-powered lineage automation, the rising need for real-time impact analysis, the prevalence of hybrid data ecosystems, governance automation, and scalable metadata platforms. Key trends that will shape this market include automated data lineage discovery, AI-driven impact analysis, intelligent metadata management, comprehensive data flow visualization, and predictive governance insights.
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Leading Companies Dominating the Data Lineage Artificial Intelligence Market
Several major corporations command a significant presence in the data lineage AI landscape. Notable players include Microsoft Corporation, International Business Machines Corporation (IBM), SAP SE, Snowflake Inc., Informatica Inc., Databricks Inc., Precisely Holdings LLC, Unifi Software Inc., Collibra NV/SA, Talend Inc., Alation Inc., Ataccama Corporation, Atlan Pte. Ltd., Data.World Inc., Solidatus Limited, Alex Solutions Pty Ltd, Oracle Corporation, Octopai Ltd., SCIKIQ Inc., and Dagster Labs Inc.
Strategic Acquisitions Strengthening Market Positions
In October 2023, IBM, headquartered in the United States, expanded its capabilities by acquiring Manta Software Inc., a company specializing in data lineage and governance solutions. This acquisition aims to bolster IBM's data governance and AI offerings by incorporating advanced lineage technology that enhances transparency, trust, and explainability of enterprise data assets. Manta Software's expertise lies in mapping and analyzing data flows through complex systems, aiding compliance, data quality, and trustworthy AI operations.
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Innovations Shaping the Future of the Data Lineage AI Market
Market leaders are focusing on developing sophisticated analysis tools such as AI-powered automated impact analysis engines. These engines help visualize and predict the effects of changes in data pipelines across hybrid and multi-cloud setups, improving data visibility, quality, and governance. AI-driven impact analysis tools assess how modifications in data or processes influence downstream operations, risks, and dependencies.
For example, in July 2025, Canadian data management firm Ataccama released Ataccama ONE v16.2, an enhanced unified data trust platform. This version includes AI-powered data lineage with simplified transformation descriptions, streamlined lineage diagrams for easier visualization, and secure edge processing for metadata extraction across different environments. This innovation allows technical and business users alike to better understand data flows, anticipate change impacts quickly and confidently, and promote more resilient and compliant data management practices.
Comprehensive Segmentation of the Global Data Lineage Artificial Intelligence Market
This report segments the data lineage AI market into several categories:
1) By Component: Software and Services
2) By Deployment Mode: Cloud, On-Premises, and Hybrid
3) By Enterprise Size: Small and Medium Enterprises (SMEs) and Large Enterprises
4) By Application: Data Governance, Risk and Compliance Management, Business Intelligence, Data Migration, and Other Applications
5) By End-User Industry: Banking, Financial Services and Insurance (BFSI), Healthcare, Retail and E-Commerce, Information Technology and Telecommunications, Manufacturing, and Government
Further subcategories include:
- Software types such as automated data lineage tools, metadata management platforms, impact analysis solutions, data visualization systems, and compliance monitoring software
- Services including consulting, implementation, integration, training and support, and managed services
Through this detailed segmentation, the report provides a thorough understanding of the market's structure and helps identify key areas for investment and innovation.
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