Top 10 Best Economic Forecasting Software of 2026

Oxford Economics supports economic forecasting workflows that depend on consistent macro assumptions, such as demand drivers, inflation dynamics, and labor market variables. Core deliverables typically include forecast tables, scenario variants, and industry or sector framing that can be reused across internal business units. The main verification strength is that Oxford Economics publishes underlying logic through methodology and research documentation, which helps teams align stakeholders on what moves the forecast.

A clear tradeoff is limited model tinkering compared with general econometric tools, because the value focuses on forecast production and scenario narratives rather than user-built econometric engines. Best fit appears when an organization needs credible, repeatable forecasts for multiple markets and industries, or when policy-linked assumptions must stay consistent across scenarios. A common usage situation is leadership reporting and investment committee preparation that requires a coherent macro story and traceable scenario deltas.

Moody's Analytics is most useful when forecasting work must stay aligned with a macro view that includes credit, rates, and global cycle assumptions. Forecasting outputs are packaged with interpretation material and workflow support for producing comparable scenarios across forecast updates. Teams get a structured way to handle forecast horizons and scenario comparisons without rebuilding the underlying editorial logic each time.

A key tradeoff is that the product fits best when analysts follow Moody's provided macro framework and data conventions. It is less suited to exploratory one-off econometric experiments where teams want full freedom to swap every underlying model specification and diagnostics approach.

S&P Global Market Intelligence combines economic and financial market data with editorially structured research coverage for forecasting and scenario planning workflows. It centralizes macro indicators, country and sector perspectives, and market commentary that forecast teams use to set assumptions and check narrative alignment against published market data.

Core capabilities include curated time-series coverage, analyst-written macro and industry reports, and tools for building decision-ready views for specific geographies and sectors. The main value comes from connecting market data and research context rather than providing a standalone econometric modeling interface.

EViews is economic forecasting software centered on an integrated econometrics workflow for building, estimating, and iterating time-series and panel models. It supports scenario analysis and forecast generation with utilities for model checks and forecast evaluation, including common accuracy error measures.

EViews also provides extensive graphing and structured output for comparing forecast paths across assumptions and re-estimation runs. For forecasting teams that rely on repeatable econometric models rather than dashboard-first tooling, EViews offers a model-driven approach to decision-ready analysis.

SAS Econometrics is a forecasting environment from SAS that focuses on econometric model workflow inside the SAS ecosystem, not a generic drag-and-drop analytics tool. It supports time series estimation, diagnostics, and forecast generation with the SAS programming model, plus scenario-driven forecasting for macro-style use cases.

The software fits teams that already standardize on SAS for data preparation, transformation, and governance around model runs. It is also suited to organizations that need repeatable forecasting pipelines with traceable inputs and outputs across forecast horizons.

IMPLAN turns economic forecasting into an input-output modeling workflow focused on regional industry interactions. The core capability is building scenarios by changing drivers, then calculating resulting outputs and impacts across sectors. IMPLAN also supports public-industry reporting with documented methodology for analysts who need defensible results, not just charts.

RSGinc REMI is an economic forecasting system built around integrated economic modeling for regions, industries, and policy scenarios. It supports scenario analysis that ties drivers like employment, income, and investment to macro and regional outcomes within a consistent modeling workflow.

The tool is geared toward running repeatable forecast batches, comparing scenarios, and producing decision-facing outputs for economic development planning. It is less oriented toward code-first econometric work than general research environments that center on custom model specification.

Oxera is an economic forecasting software solution that couples econometric modeling workflows with decision-focused outputs used in policy and market analysis. It supports scenario analysis and stress testing so users can run consistent assumptions across forecasts and communicate sensitivities.

Its workflow is built around publishing analysis artifacts such as model assumptions, documentation, and interpretive commentary that accompany forecast results. Oxera is distinct in how it emphasizes repeatable economic reasoning for institutional audiences rather than only producing time-series forecasts.

Forecast Pro is a forecasting and decision support suite built for economists and analysts who need model-based predictions and repeatable workflows. It centers on an econometric modeling engine that supports common time-series approaches and structured configuration of forecast runs.

The tool emphasizes workflow features for managing forecast horizons, generating uncertainty bands, and validating forecasts with accuracy metrics. Model reuse and controlled scenario changes are designed to keep updates consistent across releases and stakeholders.