The tools ChatGPT names most when people ask “Best predictive analytics software”, plus the sources it cites to back them up. Based on 1 real ChatGPT answer.
Ranked by how often each tool appears in ChatGPT's answers about predictive analytics software. Based on 1 answer so far, so this reflects a single snapshot rather than a trend.
| # | Tool | How often AI names it | |
|---|---|---|---|
| 1 | IBM SPSS Modeler | named in 1 of 1 answer | |
| 2 | Alteryx One | named in 1 of 1 answer | |
| 3 | Databricks | named in 1 of 1 answer | |
| 4 | Dataiku | named in 1 of 1 answer | |
| 5 | SAS Viya | named in 1 of 1 answer | |
| 6 | Amazon SageMaker AI | named in 1 of 1 answer | |
| 7 | H2O.ai | named in 1 of 1 answer | |
| 8 | DataRobot | named in 1 of 1 answer |
The pages ChatGPT pulls from, i.e. where you need to be mentioned to influence the answer. Click any to see what it gets cited for.
| # | Source | Type | Citations |
|---|---|---|---|
| 1 | gartner.com | Editorial | 3 citations |
| 2 | ibm.com | Editorial | 1 citation |
Real ChatGPT responses to “Best predictive analytics software” (verbatim), most recent first.
If you mean business/enterprise predictive analytics software, my 2026 shortlist would be:
| Platform | Best for | Ease of use | Strength |
|---|---|---|---|
| DataRobot | Automated ML & predictive modeling | βββββ | Excellent automation |
| Dataiku | Enterprise data science teams | ββββ | Strong end-to-end platform |
| SAS Viya | Large enterprises, regulated industries | βββ | Advanced analytics/governance |
| Alteryx One | Analysts who want low/no-code | βββββ | Data prep + predictive analytics |
| IBM SPSS Modeler | Traditional statistical/predictive modeling | ββββ | Mature, visual modeling |
| H2O.ai | ML teams and high-performance modeling | βββ | Open/advanced ML ecosystem |
| Amazon SageMaker AI | AWS-native ML | βββ | Scalable ML infrastructure |
| Databricks | Companies already using a lakehouse | βββ | Data + ML in one environment |
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
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.
See exactly where you stand today, and which sources to win.