Leaders in the Data Science and Machine Learning (DSML) market include Alteryx, Amazon, Databricks, Dataiku, SAS, and Teradata.
MIAMI, April 15, 2025 /PRNewswire/ — The DSML market in 2025 is undergoing significant transformation, driven by deep integration of AI across the analytics lifecycle. DSML platforms have evolved from technical tools to strategic assets, enhancing decision intelligence and competitive capabilities. The market is shifting towards unified ecosystems that combine traditional workflows with AI frameworks, making analytics more accessible and powerful.
The rise of no-code/low-code environments has empowered users to develop AI-driven applications without technical expertise, reducing dependency on specialized data teams and shortening development cycles. Automated machine learning (AutoML) and generative AI further increase ROI by streamlining data preparation, feature engineering, and model selection, enabling faster and more accurate insights with fewer resources.
“Organizations are now leveraging DSML platforms as strategic assets that fundamentally reshape competitive capabilities through AI-driven decision intelligence,” said Research Analyst Duncan Van Kouteren. “The market has coalesced around integrated ecosystems that combine traditional DSML workflows with AI frameworks, creating unprecedented analytical depth and accessibility.”
Generative AI has matured into a core architectural component, driving advancements in predictive modeling, synthetic data generation, and adaptive model architectures. AI agents have evolved from simple automation tools to autonomous systems capable of orchestrating complex analytical tasks with minimal human intervention. The rise of retrieval-augmented generation (RAG) and multimodal AI has further expanded analytical capabilities by integrating text, code, images, and structured data.
As AI adoption scales, governance has become a core requirement rather than an afterthought. Organizations now demand trust architectures that embed governance controls throughout the AI lifecycle, ensuring responsible deployment, continuous monitoring, and regulatory compliance.
Leaders in this year’s Value Matrix deliver advanced functionality without sacrificing ease-of-use at scale. These include Alteryx, Amazon, Databricks, Dataiku, SAS, and Teradata.
The Experts in this year’s Value Matrix are organizations that deliver value to customers with complex use cases through deep functionality and industry-specific capabilities. These include Google, MathWorks, Microsoft, Oracle, and Plantir.
Accelerators in this year’s Value Matrix deliver value through greater ease of use and quick implementation. These include Altair, DataRobot, H2O.ai, Hex Technologies, and TrueFoundry.
Core Providers deliver core capabilities with faster and less expensive adoption. This year’s Value Matrix Core Providers are Cloudera, Domino Data Lab, IBM, and Samsung.
To download the full 2025 DSML Technology Value Matrix, click here.
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