Abstract
As enterprises seek to unlock high-value data, make data-driven decisions, and gain a competitive edge, siloed and inconsistent data remains a critical challenge. To overcome this, we help enterprises by transform master data management (MDM) into an intelligent core powered by artificial intelligence (AI), machine learning (ML), generative AI, and agentic AI. Our approach ensures trusted data, robust governance, and compliance across the organization.
This whitepaper explores how leading MDM vendors are integrating AI/ML and agentic AI approaches into their solutions to meet the evolving business needs and regulatory requirements for modern enterprises.
Key Insights
Modern MDM platforms leverage AI and automation to reduce manual data management tasks, accelerate data processing, and enhance operational efficiency across the enterprise.
Adaptive MDM delivers accurate, consistent data while embedding governance controls, helping enterprises stay compliant with evolving regulations effortlessly.
Establishing a single source of truth through real-time integration and federated data models enables faster decisions, personalized experiences, and optimized operations.
Cloud-native, API-first architecture combined with the capabilities of GenAI, and agentic AI empowers organizations to scale rapidly and stay competitive.
Organizations adopting modern MDM practices report up to 40% improvement in data quality and 20–30% cost reduction, driving reliable insights and strategic decisions.
The global MDM market is projected to grow at 16.6% CAGR, rising from $20.5B in 2025 to $37.84B by 2029, signaling a strong adoption of intelligent MDM solutions worldwide.