Top 10 Best Economic Forecasting Services of 2026

S&P Global Market Intelligence supports forecasting workflows by connecting macro and market narratives to structured datasets for financial planning, credit, and transaction analysis. Its focus on consistent refreshes and standardized analytical fields suits teams that need the same underlying inputs across forecasts, scenario analysis, and periodic reporting. The strongest fit appears in organizations already using issuer coverage, market data, and ratings-linked attributes as core model features.

A key tradeoff is that forecasting teams relying on custom econometric model development still need to build their own model layer and governance around how inputs flow into time-series or scenario engines. The best usage situation is a credit or investment research workflow that already consumes issuer and ratings data, then adds baseline and scenario-driven macro assumptions for underwriting and portfolio reviews.

EY-Parthenon is most credible when economic forecasting is tied to decision-making under uncertainty, including scenario analysis and forecast revisions across a forecast horizon. Forecast outputs are usually packaged with clear assumption logic, so finance, strategy, and operations teams can map changes in macro drivers to downstream impacts. Delivery fits organizations that require model governance, version control habits, and documented reasoning for how forecast deltas propagate into planning assumptions.

A key tradeoff is that the service shape is less suited to high-throughput, self-serve forecasting at high frequency. Forecast runs and updates are generally paced by project timelines and workshop cadences rather than on-demand API-style consumption. EY-Parthenon fits best when a team needs a controlled baseline and a small set of decision scenarios that can be reviewed with leadership and audit stakeholders.

NERA Economic Consulting is a fit when teams need baseline forecasts and alternative scenarios across macroeconomic and investment questions with transparent assumptions and modeling structure. The consulting approach supports policy impact assessment, litigation damages analysis, and expert testimony preparation from the same forecasting and modeling lineage. The strongest integration signal is the ability to convert modeling inputs into documented outputs aligned to stakeholder review and decision workflows.

A practical tradeoff is that consulting delivery depth can reduce turnaround speed for lightweight, purely self-serve forecasting needs. NERA fits when a team needs scenario analysis tied to investment or policy rationale and when expert review requirements outweigh the need for fast iteration. Usage is most effective when internal subject-matter owners provide topic framing and inputs, while NERA handles the model-to-narrative conversion.

Moody's Analytics is a macroeconomic forecasting service that delivers baseline outlooks, scenario analysis, and technical modeling outputs used by financial and economic teams. Its differentiator is depth in economic risk framing across global regions, including methodology artifacts that support internal review cycles. The service is built around recurring forecast production for client use, with integration patterns that fit forecasting workflows rather than one-off exports.

Oxford Economics produces macroeconomic forecasting and sector outlooks using established econometric modeling and scenario workflows. It is distinct for how it turns national and global assumptions into structured baseline and alternative paths that teams can reuse in planning cycles.

Cambridge Econometrics delivers macroeconomic forecasting built on econometric modeling and a repeatable production workflow for baseline forecasts, scenario analysis, and revisions. The service is geared toward teams that need consistent horizon outputs, transparent assumptions, and well-instrumented forecast update cycles rather than one-off projections.

Deloitte Economics Institute blends macroeconomic forecasting work with consulting-style research delivery, focusing on applied scenario analysis rather than generic model dashboards. The institute supports baseline and scenario narratives for policy and business planning, using econometric modeling and forecasting workflows that align with client decision cycles.

The Economist Intelligence Unit delivers economic forecasting built around published macro scenarios, structured baseline projections, and thematic regional and sector outlooks. Forecasting outputs are typically paired with assessed risks and narrative drivers that support decision making across planning cycles.

Centre for Economics and Business Research produces macroeconomic and sector outlooks used for baseline planning, scenario analysis, and public-facing policy briefings. Its forecasting work typically draws on econometric modeling and business-cycle interpretation to translate indicators into point forecasts and revision narratives for defined horizons.

National Institute of Economic and Social Research delivers macroeconomic forecasting grounded in long-running econometric research and policy-oriented business cycle analysis. Its published forecast outputs emphasize transparent methodological choices and interpretable assumptions that support baseline forecast narratives and forecast revisions tracking.