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SAS Recognized as an Emerging Leader in 2025 Gartner Report

In an exciting development for the tech industry, SAS has achieved a significant milestone by being named an Emerging Leader in the 2025 Gartner® Emerging Market Quadrant specifically for Generative AI Engineering. This accolade, announced on June 24, 2025, highlights SAS's commitment to transforming data into actionable insights through advanced AI capabilities.

Understanding the Gartner Emerging Market Quadrants

The Gartner Emerging Market Quadrants were introduced in mid-2024 as a complementary framework to the widely recognized Gartner Magic Quadrants. Their purpose is to deliver continuous insights into the marketplace, particularly enhancing decision-making processes for clients exploring vendors in the rapidly evolving landscape of AI and generative AI.

According to Gartner’s report, the generative AI engineering submarket encompasses technologies designed for comprehensive model lifecycle management. This includes advancements tailored for developing, refining, and deploying generative models—like large language models (LLMs)—and other generative AI artifacts in real-world applications. The report underscores the importance of platforms that facilitate AI orchestration, emphasizing features such as model chaining and agent development.

SAS's Unique Value Proposition

Brett Wujek, the Head of Product Strategy for Next-Gen AI at SAS, remarked on the recognition, stating, “We are witnessing enterprises from various sectors looking beyond basic functionalities of generative AI to harness its potential for growth and efficiency.” He highlighted several key differentiators that set SAS apart in the competitive landscape:

• - Comprehensive Lifecycle Management: SAS provides robust support throughout the entire lifecycle of AI applications, ensuring that clients have access to necessary tools and insights.
• - Multi-Agent Orchestration: This feature drives intelligent automation, enhancing operational efficiency and allowing businesses to scale their AI initiatives effectively.
• - Synthetic Data Generation: As data privacy concerns become paramount, SAS's ability to generate synthetic data plays a critical role. This approach mitigates bias and ensures model robustness, forming an essential aspect of the generative AI engineering lifecycle.

These innovative features of the SAS® Viya® data and AI platform empower organizations to maximize productivity. The embedded generative AI capabilities of SAS enable businesses to not only innovate but to do so responsibly.

The Path Forward

SAS intends to continue leading the charge in generative AI, fostering innovation while prioritizing responsible use of technology. Companies that leverage SAS’s solutions can expect enhanced returns on investment, alongside rigorous adherence to ethical standards in AI development.

For more information about how SAS is shaping the future of generative AI engineering, visit sas.com.

This recognition from Gartner not only reflects SAS's current capabilities but also sets the stage for future developments in generative AI, pushing the boundaries of what is possible within the industry. As businesses increasingly turn to AI to streamline operations and enhance decision-making, SAS is poised to remain at the forefront of the technological revolution.

Conclusion

SAS's acknowledgment as an Emerging Leader reaffirms its standing as a global innovator in harnessing the power of data and AI. With ongoing commitment to advancements in generative AI technology, SAS is not just shaping its trajectory but also the entire landscape of AI engineering. This achievement highlights the importance of trust in data-driven decisions, solidifying SAS's reputation as a beacon for organizations aiming to transform their data into transformative business strategies.