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If you mean business/enterprise predictive analytics software, my 2026 shortlist would be:

Gartner's current predictive-analytics category includes platforms such as IBM SPSS Modeler, SAS Viya, Alteryx and others; its current alternatives data also places Dataiku, Alteryx, DataRobot, SageMaker and Databricks among the major alternatives considered by buyers. Gartner Gartner

My picks

• Best overall for business users: Dataiku — particularly good if analysts and data scientists need to collaborate.
• Best for automated predictive modeling: DataRobot — strong choice when you want to get models into production without building the entire ML stack yourself.
• Best for sophisticated enterprise analytics: SAS Viya — especially compelling for large, regulated organizations. Gartner
• Best for no/low-code analysts: Alteryx One — excellent when data preparation and predictive workflows need to be accessible to non-programmers.
• Best traditional predictive analytics: IBM SPSS Modeler — its visual, drag-and-drop interface supports classification, segmentation and forecasting without requiring programming. Gartner IBM
• Best if you're already on AWS: Amazon SageMaker AI
• Best if you're already on Databricks: Databricks

One interesting data point: Gartner Peer Insights currently shows Dataiku at 4.7/5, DataRobot at 4.6/5, and Alteryx at 4.4/5 in the relevant comparison set, although ratings and review counts differ substantially, so I wouldn't choose solely on that basis. Gartner

If you tell me your use case (e.g. sales forecasting, demand forecasting, churn, fraud, financial forecasting, healthcare, manufacturing) and company size/budget, I can narrow this to the top 3 and compare pricing, AI capabilities, integrations, and ease of implementation.