AI Platforms for Data Science and Machine Learning

AI platforms for data science and machine learning provide software that supports end-to-end AI models and agent development and life cycle management using diverse data science and AI techniques. Leaders responsible for AI need to select platforms with awareness of native AI agents that accelerate model development and deployment.

Market Definition

Gartner defines AI platforms for data science and machine learning (DSML) as platforms that support end-to-end AI model and agent development and life cycle management using diverse data science and AI techniques. These platforms enable data preparation, model building, deployment and governance, and are delivered as fully managed cloud services or on-premises infrastructure for AI experts and business users.

AI platforms for DSML primarily target AI experts, including data scientists and AI engineers, providing a comprehensive suite of data science and AI techniques for augmented and automated decision making. These platforms support building models using data-intensive methods such as machine learning, as well as techniques such as simulation and optimization. They handle all types of data — tabular, image, video and text — for multimodal applications, such as computer vision, natural language processing (NLP) or composite AI, that combines optimization with machine learning.

Models can leverage both classic and modern AI techniques to automate business processes, such as credit scoring, churn prediction, predictive maintenance, recommendation, image classification, search and retrieval. They also enable the creation of AI agents that drive autonomous operations within AI-powered workflows and tasks across the DSML life cycle.

AI platforms for DSML foster collaboration and asset reuse across teams and departments while orchestrating workloads to manage large data volumes. They provide consistent, reproducible training and development environments that maintain lineage between data, code and models, improving productivity for AI experts. Additionally, low-code interfaces, natural language tools and AI assistance allow domain experts and business users to create predictive models through simple interactions.

These platforms support multiple Ops practices for deploying models and agents in production, including orchestration of both batch and real-time workloads, implementation of guardrails and AI governance for risk management, and continuous evaluation and monitoring of model and agent performance.

Report 2026

Here is a summary of the vendors featured in the Gartner magic quadrant 2026 report.
For the full analysis and detailed insights, you can read the report here and view the magic quadrant graphic here.

Market Status Market Vendor
Leader Databricks
Leader Google
Leader Amazon Web Services
Leader Microsoft
Leader IBM
Leader Dataiku
Leader DataRobot
Visionary Snowflake
Visionary SAS
Visionary Cloudera
Visionary Teradata
Visionary Siemens (Altair)
Visionary Domino Data Lab
Visionary H2O.ai
Visionary Red Hat
Niche Player Posit
Niche Player MathWorks
Challenger Alibaba Cloud

Report 2025

Here is a summary of the vendors featured in the Gartner magic quadrant 2025 report.
For the full analysis and detailed insights, you can read the report here and view the magic quadrant graphic here.

Market Status Market Vendor
Leader Databricks
Leader Google
Leader Amazon Web Services
Leader Microsoft
Leader Dataiku
Leader DataRobot
Leader IBM
Leader Altair
Visionary SAS
Visionary Snowflake
Visionary Domino Data Lab
Visionary Cloudera
Visionary H2O.ai
Niche Player Alteryx
Niche Player MathWorks
Challenger Alibaba Cloud

Report 2024

Here is a summary of the vendors featured in the Gartner magic quadrant 2024 report.
For the full analysis and detailed insights, you can read the report here and view the magic quadrant graphic here.

Market Status Market Vendor
Leader Databricks
Leader Microsoft
Leader Google
Leader Amazon Web Services
Leader Dataiku
Leader Altair
Leader SAS
Leader DataRobot
Visionary H2O.ai
Visionary Cloudera
Visionary Domino Data Lab
Niche Player Alteryx
Niche Player KNIME
Niche Player MathWorks
Niche Player Posit
Niche Player Anaconda
Challenger Alibaba Cloud
Challenger IBM