Organizations looking to deploy market-leading data management capabilities from a unified, cloud-based, connected enterprise data platform will find Informatica Intelligent Data Management Cloud™ (IDMC) to be a clear choice.

The success (or failure) of AI programs in adding tangible business value hinges mainly on the availability of trustworthy data. AI systems require large volumes of diverse, high-quality, protected data to learn and make accurate predictions. Maintaining high data availability and reliability and ensuring generative AI (GenAI) models have consistent, secure and governed access to the data they need requires best-in-class data management infrastructure.

Informatica’s CDO Insights 2025 survey reports that two-thirds (67%) of organizations have been unable to transition even half of their GenAI pilots to production​ thus far.¹ The report indicates that data quality, completeness, readiness and lack of technological maturity are the top obstacles preventing more GenAI pilots from moving into production.

Addressing AI's data challenges involves several key factors. These include the rapidly growing volume and variety of data and the need to manage expanding data sources. Monitoring data quality in fast-moving data pipelines is crucial, along with protecting data from compliance risks. Ensuring data remains open and secure for collaboration is also essential. To achieve this, it's important to move beyond inefficient, isolated solutions lacking scalability.

Disconnected data silos, a lack of transparency and fragmented tooling complicate efforts to realize the potential of AI. These complications are expected to further increase, with over half of data leaders (51%) anticipating needing ten or more separate tools to support 2025 data management priorities.²

As data volumes continue to skyrocket, companies are increasingly turning to integrated data management solutions. This shift is partly due to the rise of decentralized architectures like data mesh and data fabric, which allow for more flexible data handling. It’s also essential for businesses to have scalable systems that can expand computing power for developing, testing and training AI models.

Moreover, emerging regulatory requirements surrounding AI usage are prompting organizations to rethink their data strategies. Connected data management platforms offer a powerful solution by providing a unified environment that integrates various data management functions into a single, cloud-based infrastructure. This holistic approach not only streamlines operations but also enhances the ability to leverage data effectively.

According to Gartner®, from its latest report Magic Quadrant for Data and Analytics Governance Platforms: “In recent years, growing costs and complexities have led organizations to question the logic of building silos rather than organizing around a single platform that supports multiple policy dimensions.”³ “Gartner anticipates that by 2025, 50% of new cloud deployments will leverage cohesive cloud data ecosystems rather than manually integrated point solutions.”⁴

Informatica also feels there is a convergence in data management capabilities. Our interactions with clients also reflect a propensity towards procuring comprehensive capabilities, including data cataloging, governance, lineage, quality and data product hubs, in support of delivering AI-ready data to AI initiatives.

The bottom line is that siloed data management capabilities and point solutions for managing data no longer suffice modern enterprise needs. A unified, connected data platform that offers superior capabilities across the entire spectrum of data management capabilities is essential for supporting AI. This approach meets the enterprise’s demands today and in the future.

Consider a situation where a company’s data integration capabilities lag the other data management capabilities, such as data quality and data governance, in terms of maturity and sophistication. In such a case, the lack of strong integration capabilities may limit the company’s ability to harmonize and combine diverse data sources for creating comprehensive datasets for AI. Missing crucial data can lead to unrepresentative samples of data, introducing biases that skew outputs and potentially perpetuating unfairness in AI-driven decisions even while data was managed in accordance with governance and quality guidelines.

Similarly, in a situation where there are gaps in data quality and governance while data integration capabilities are on point, AI models can produce unreliable or misleading outputs owing to inconsistent and non-standardized data handling. The lack of robust enforcement of data protection policies and procedures could also lead to potential compliance and privacy breaches as data from various sources and applications gets integrated for analytics and AI.

Organizations need capabilities to maximize the value of data at every stage of the data lifecycle — from data integration, data quality, master data management (MDM), data governance and privacy to data sharing and access management.

So how can you leapfrog your overall data maturity and replace gaps in data management with industry-leading capabilities through a unified, comprehensive and connected data management platform?

Enter IDMC.

Relying on an AI-powered, cloud-based data management platform such as IDMC can help businesses efficiently handle the complex challenges of dispersed and fragmented data with best-of-breed capabilities.

Let’s examine some key market trends in foundational data management capabilities and how companies can use them to gain a competitive advantage.

1) Data Integration — Data and analytics leaders increasingly acknowledge the strategic role of data integration in their overall data management strategies. Comprehensive data integration solutions should be able to discover, ingest, integrate, automate, cleanse, govern, master and share data for AI and GenAI consumption. Multi-cloud/hybrid deployment models, support for emerging use cases, as well as breadth of integration with current and target data management architectures are crucial for enabling AI.

Gartner recognizes Informatica as a Leader in the 2024 Gartner® Magic Quadrant™ for Data Integration Tools.⁵

Figure 1. Magic Quadrant for Data Integration Tools

2) Integration Platform as a Service (iPaaS) - Keeping pace with the rapidly evolving generative AI (GenAI) landscape requires a new approach and mindset to building, integrating and managing applications.

Enterprises are actively seeking integration solutions to accelerate innovation, enhance operational efficiencies, modernize systems and accommodate diverse integration patterns, all while maintaining cost-effectiveness and compliance.

Aligning with user personas, ensuring geographic availability, enabling deployment of the iPaaS platform in hybrid environments (encompassing both multi-cloud and on-premises setups) and prioritizing platform security and compliance are essential factors for iPaaS offerings.

As illustrated in Figure 2, Informatica was recognized by Gartner as a Leader in the Magic Quadrant for Integration Platform as a Service.⁶

Figure 2. Magic Quadrant for iPaaS

3) Data Quality Management – Expectations from data quality software have transcended its traditional use cases of reducing compliance and operational risks. It is increasingly being considered a competitive advantage for delivering AI-ready data for trusted decision-making.

Ensuring the delivery of reliable, trusted, and timely business data is a continuous process that can be effectively supported through modern data quality solutions. Augmenting data quality with automation helps simplify tedious data profiling, monitoring and remediation processes. This aids in enabling self-service and observability into data flows to continuously improve the quality of data available for AI.

For the 17th time, Informatica was named a Leader in the Gartner Magic Quadrant for Augmented Data Quality Solutions. (See Figure 3.)⁷

We feel that Informatica's investments in CLAIRE®, our AI engine, strategic ecosystem partnerships and the ability to organically and inorganically add capabilities that simplify data management for customers were pivotal in Informatica’s positioning as a Leader.

Figure 3. Magic Quadrant for Augmented Data Quality Solutions.

4) Data Cataloging and Governance – According to Gartner, “Data analytics governance platforms are growing 15% faster than other aspects of the data-related segment.”⁸

Informatica’s unified platform Intelligent Data Management Cloud (IDMC) delivers data catalog, data governance, data mastering, data quality, data privacy, data marketplaces and other IDMC services, empowering organizations with exceptional data management capabilities that easily expand with business needs.

Gartner, in the first 2025 Magic Quadrant for Data and Analytics Governance Platforms, recognized Informatica as a Leader, positioning it furthest for Completeness of Vision and highest for Ability to Execute.⁹ (See Figure 4.)

Figure 4. Magic Quadrant for Data and Analytics Governance Platforms.

5) Master Data Management (MDM) – MDM capabilities are fundamental to establishing and maintaining trust in data. The complexity and costs of managing multiple sources of information, especially in large organizations, can be very high. Because data changes over time, it’s easy for it to get out of sync and become fragmented, incomplete, inaccurate, and inconsistent.

McKnight Consulting Group suggests that MDM is changing and becoming more automated and AI-based. In their report, “The Time for AI-Powered MDM is Now,” they recommend organizations shortlist MDM vendors based on who can support the characteristics of their particular MDM needs and the vendor vision, especially the inclusion of AI.¹⁰

Informatica® Intelligent Master Data Management is the only offering that helps companies manage all domains of master data in a single SaaS solution. It provides market-leading capabilities built on a modern microservices architecture and extensively uses AI to automate and scale the practice of mastering data.

Find out more about Informatica’s MDM and 360 Applications.

Across various research reports from the previous year, we believe a few common themes emerge.

Firstly, organizations are increasingly looking for integrated enterprise data platforms that provide a unified suite of tools and services such as data integration, data quality, data governance and analytics. By bringing these capabilities together in one platform, businesses can improve collaboration, maintain data consistency and accelerate decision-making.

Second, AI technologies are increasingly being integrated into various aspects of data management. AI-powered data management capabilities automate manual data handling processes and help achieve the scale and speed that AI applications demand.

Third, there is a strong momentum toward modernizing data infrastructure with the cloud. The scalability, flexibility and cost efficiency of intelligent cloud services provide compelling reasons for organizations to embrace SaaS offerings.

IDMC offers clients an opportunity to capitalize on these market trends and realize the potential of AI. It is the industry’s most comprehensive platform that combines multiple best-in-class capabilities allowing companies to access them through a single pane. With CLAIRE®, Informatica was one of the first movers for embedding AI in data management and continues to deliver AI-powered innovations such as CLAIRE GPT®. Cloud-based services, coupled with a consumption-based pricing model, further enable organizations to scale operations while staying cost-efficient and responsive to market changes.

86% of data leaders expect increased investments in data management focused on improving data privacy and security, data literacy and readiness to meet increasing data demands in the organization.¹¹ The stage is set for companies to leverage solutions such as IDMC to transform and accelerate their AI readiness with a foundation of trusted data.

Download your complimentary copy of the following reports and case study:

CDO Insights 2025: Racing Ahead on GenAI and Data Investments Despite Potential Speed Bumps

2024 Gartner® Magic Quadrant™ for Data and Analytics Governance Platforms

2024 Gartner Magic Quadrant for Data Integration Tools

2024 Gartner Magic Quadrant for Integration Platform as a Service (iPaaS)

2025 Gartner Magic Quadrant-for Augmented Data Quality Solutions

How Paycor, Helia and Others Unleash Business Value with AI-Powered Data Governance

¹Report: CDO Insights 2025
²Report: CDO Insights 2025
³Gartner® Magic Quadrant™ for Data and Analytics Governance Programs, Guido De Simoni, Anurag Raj, Melody Chien, Stephen Kennedy, January 7, 2025. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
⁴https://www.gartner.com/en/data-analytics/topics/data-ecosystem
⁵Gartner Magic Quadrant for Data Integration Tools, Thornton Craig, Sharat Menon, Robert Thanaraj, Michele Launi, Nina Showell, December 3, 2024.
⁶Gartner Magic Quadrant for Integration Platform as a Service (iPaaS), Keith Guttridge, Andrew Comes, Shrey Pasricha, Max van den Berk, Andrew Humphreys. February 19, 2024.
⁷Gartner Magic Quadrant-for Augmented Data Quality Solutions, Melody Chien, Divya Radhakrishnan, Sue Waite, 10 March 2025.
⁸Gartner Magic Quadrant for Data and Analytics Governance Platforms, Guido De Simoni, Anurag Raj, Melody Chien, Stephen Kennedy. January 7, 2025.
⁹https://www.informatica.com/about-us/news/news-releases/2025/01/20250113-informatica-named-a-leader-in-2025-gartner-magic-quadrant-for-data-and-analytics-governance-platforms.html
¹⁰https://www.informatica.com/lp/the-time-for-ai-powered-mdm-is-now_4705.html
¹¹Report: CDO Insights 2025