Top 20 Alternatives to SAS Forecasting in Forecasting Software

Fully managed service that uses machine learning to deliver highly accurate forecasts. Integrates with AWS data pipelines and supports demand, inventory, and resource planning.

Azure Machine Learning time‑series forecasting module with AutoML, Prophet, and custom model support. Scales on Azure cloud and integrates with Power BI.

Google’s managed AI platform offering AutoML Tables and custom TensorFlow models for time‑series forecasting, with seamless BigQuery integration.

Enterprise planning and forecasting suite with AI‑driven predictive analytics, scenario modeling, and integrated financial consolidation.

Cloud‑based supply‑chain planning solution featuring demand forecasting, inventory optimization, and sales‑and‑operations planning.

Demand management and forecasting platform with statistical, causal, and machine‑learning models, plus collaborative planning capabilities.

Connected planning platform that supports multi‑dimensional forecasting, scenario analysis, and real‑time collaboration across finance and supply chain.

Automated machine‑learning platform for time‑series forecasting, offering model selection, hyper‑parameter tuning, and deployment pipelines.

Self‑service analytics suite with built‑in forecasting nodes (ARIMA, exponential smoothing, Prophet) and drag‑and‑drop workflow design.

Open‑source data science platform featuring time‑series operators, auto‑modeling, and integration with Python/R for custom forecasting.

Modular data workflow tool with time‑series forecasting nodes, support for Prophet, ARIMA, and deep‑learning extensions.

Advanced analytics suite offering statistical forecasting, machine‑learning pipelines, and automated model selection for business users.

Self‑service BI platform that can embed R, Python, or Azure ML models for interactive forecasting dashboards.

Visualization tool that allows embedding of custom forecasting scripts (Prophet, ARIMA) directly into dashboards.

Specialized forecasting software with a library of statistical and machine‑learning models, automated model selection, and scenario planning.

Industry‑specific forecasting solution for real‑estate and rental markets, leveraging proprietary data and statistical models.

AutoML platform that automatically builds, tunes, and deploys time‑series forecasting models with explainability features.

Open‑source forecasting library for Python/R that handles seasonality, holidays, and trend changes with minimal configuration.

Statistical modeling library offering ARIMA, SARIMAX, VAR, and state‑space models for custom forecasting pipelines.

Econometric software suite with robust time‑series forecasting tools, including ARIMA, GARCH, and panel data models.

Cloud BI platform that provides pre‑built predictive apps for demand and sales forecasting, leveraging built‑in ML algorithms.