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EconomicsTop 10 Best Economic Forecasting Services of 2026
Compare top Economic Forecasting Services and rankings from EIU, Oxford Economics, and S&P Global Market Intelligence to choose the best fit.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
The Economist Intelligence Unit (EIU)
Country risk forecasting that connects macro indicators to political and policy risk channels
Built for strategy and risk teams needing consistent global macroeconomic forecasts.
Oxford Economics
Editor pickScenario forecasting that links macro drivers to sector demand and industry outcomes
Built for enterprises and policy teams needing scenario-driven macro and sector forecasts.
S&P Global Market Intelligence
Editor pickEconomic Forecasts with driver-based indicator frameworks for scenario planning
Built for enterprises needing institution-grade macro forecasts for planning and investment decisions.
Related reading
Comparison Table
This comparison table reviews economic forecasting services from providers including The Economist Intelligence Unit, Oxford Economics, S&P Global Market Intelligence, Fitch Solutions, and the World Bank Group. It helps decision-makers compare how each organization publishes forecasts across regions, sectors, and indicators, plus the delivery formats and typical use cases for planning and risk analysis.
The Economist Intelligence Unit (EIU)
enterprise_vendorProvides macroeconomic and country economic forecasting, risk analysis, and scenario planning to support economic decision-making.
Country risk forecasting that connects macro indicators to political and policy risk channels
The Economist Intelligence Unit stands out for macroeconomic and country risk forecasting grounded in deep policy and market analysis. It delivers forecast products for key indicators across countries, plus scenario work tied to political and economic drivers. Output is designed for structured decision support in strategy, treasury, and investment committees that need consistent, comparable assumptions across regions. Reporting and data access support both high-level dashboards and analyst workflows for ongoing monitoring.
- +Produces region-spanning macroeconomic forecasts across comparable indicator sets
- +Country risk coverage links economic outcomes with political constraints
- +Supports scenario-based thinking for planning under multiple policy paths
- +Editorial-grade analysis improves interpretability of forecast drivers
- –Best suited for decision cycles needing recurring, standardized forecasts
- –Less ideal for ad hoc, niche indicator modeling outside core sets
- –Implementation effort may be higher for teams needing custom integration
- –Outputs may feel dense for stakeholders requesting simple topline guidance
Best for: Strategy and risk teams needing consistent global macroeconomic forecasts
More related reading
Oxford Economics
enterprise_vendorDelivers bespoke economic forecasts, macroeconomic analysis, and industry and country outlooks for clients across public and private sectors.
Scenario forecasting that links macro drivers to sector demand and industry outcomes
Oxford Economics stands out for building macroeconomic and industry forecasts from structured econometric methods tied to scenario design. The firm delivers country, region, and sector forecasts along with market and customer-level analysis that supports business planning and risk management. Forecasting outputs can be combined into commissioned models for specific geographies, industries, or policy-driven assumptions. Engagements typically translate forecast results into clear implications for strategy, investment timing, and demand expectations.
- +Econometric forecasting model supports consistent macro and sector projections
- +Scenario analysis helps translate assumptions into decision-ready outputs
- +Coverage spans countries, regions, and industries with coherent linkages
- +Commissioned work fits targeted geographies and industry constraints
- –Outputs require clear assumptions to avoid misinterpretation
- –Commissioned customization can increase project scope and effort
- –Best value depends on access to internally relevant data inputs
- –Less suited for one-off rapid forecasts without dedicated engagement
Best for: Enterprises and policy teams needing scenario-driven macro and sector forecasts
S&P Global Market Intelligence
enterprise_vendorSupports economic forecasting needs with macroeconomic outlooks, scenario analysis, and economic research tied to markets and policy.
Economic Forecasts with driver-based indicator frameworks for scenario planning
S&P Global Market Intelligence stands out for turning global macro and market data into forecast-ready intelligence used by policy, investment, and industry teams. It provides consensus-style economic projections alongside underlying indicators and methodological context for major economies. The service also supports scenario analysis by linking forecasts to market drivers across sectors and geographies. Delivery typically emphasizes analyst research, time-series datasets, and research notes that make forecasts easier to operationalize.
- +Global economic forecasts tied to market-moving indicators
- +Robust coverage across countries, industries, and macro variables
- +Analyst research explains assumptions behind projection direction
- +Scenario-ready data supports stress testing of macro outcomes
- –Forecast outputs can be dense for non-technical planning teams
- –Sector mapping requires careful selection to match specific business models
- –Implementation of usable scenarios depends on internal analytics readiness
Best for: Enterprises needing institution-grade macro forecasts for planning and investment decisions
Fitch Solutions
enterprise_vendorProduces economic and sovereign forecasts alongside risk and scenario work to inform investment and policy decisions.
Country risk and macro forecasts mapped to investment and policy decision contexts
Fitch Solutions stands out with economic forecasting and country risk research tied to Fitch Ratings expertise and its established analytical coverage. The service delivers forecasts across macro indicators like growth, inflation, trade, and fiscal metrics, organized by geography and sector exposure. Research output is also paired with scenario-based risk views that support planning and investment decisions. Strong coverage breadth makes it useful for tracking recurring macro changes and translating them into structured outlooks.
- +Broad country coverage with consistent macro indicator forecasting and updates
- +Integrates country risk perspectives with macro outlooks
- +Sector and industry context supports scenario planning for decisions
- –Less hands-on modeling support than consultancies with custom econometrics
- –Output formats can feel heavy for teams needing quick ad hoc answers
- –Scenario depth may require analyst time to interpret correctly
Best for: Enterprises needing frequent macro and country risk forecasts for planning
World Bank Group
enterprise_vendorConducts economic forecasting and macroeconomic analysis through country diagnostics, economic updates, and outlook work delivered by expert teams.
Global Economic Prospects and regional outlooks with integrated risk scenarios and development indicators.
World Bank Group stands out for turning macroeconomic analysis into widely used forecasting outputs and policy guidance for many countries. Core capabilities include producing global and regional economic outlooks, maintaining country-level macro frameworks, and delivering data-driven risk assessments. Forecasting work is reinforced by sector knowledge, statistical capacity building, and structured dissemination through reports and databases. The service is strongest for users who need credible, standardized forecasts aligned to development indicators and scenario narratives.
- +Publishes consistent global and regional economic outlook forecasts.
- +Offers country-level macro and development analysis tied to core indicators.
- +Provides datasets that support replication of key forecasting assumptions.
- +Links macro projections with sector-specific development context.
- –Forecasting outputs are often policy-focused rather than model-ready for every workflow.
- –Methodology details can be harder to translate into bespoke econometric setups.
- –Country specificity may be less granular than local specialist forecasts.
- –Scenario depth varies across topics and regions.
Best for: Government, research, and development teams needing credible macroeconomic projections.
IMF (International Monetary Fund)
enterprise_vendorDelivers macroeconomic projections and economic forecasting through country reports, regional outlooks, and scenario-based program analysis.
World Economic Outlook and related scenario-based risk assessments published on a regular schedule
IMF stands out for using macroeconomic data, cross-country modeling, and policy analysis to publish widely cited economic forecasts and risk assessments. Core capabilities include producing country and regional outlooks, issuing scenario-based projections, and maintaining technical work that supports forecast interpretation. Analysts also provide documentation on assumptions and methodologies used in forecasting exercises. The service is delivered through regular reports, datasets, and structured outputs used by government, research, and market participants.
- +Country and regional outlooks with consistent macro assumptions across datasets
- +Transparent scenario framing for growth, inflation, and balance-of-payments risks
- +High credibility forecasts used by policy makers and researchers globally
- +Extensive methodological documentation for interpreting projection drivers
- –Outputs focus on aggregate macro indicators, not firm-level or sector micro-modeling
- –Forecast granularity can lag fast-moving local shocks and short-horizon events
- –Customization for private datasets or bespoke modeling is limited in published materials
- –Interpretation requires macro expertise to map drivers to specific decisions
Best for: Policy teams and researchers needing authoritative macroeconomic outlooks
OECD
enterprise_vendorProduces economic outlooks and forecasts through analysis of member and partner economies and policy scenario work.
Cross-country macroeconomic outlooks with driver decomposition and scenario-based projections
OECD stands out with policy-grade economic forecasting produced by an international institutions network rather than a single model vendor. Its core capabilities cover macroeconomic outlooks, sectoral and country analysis, and scenario-based projections designed for government and research use. Forecast outputs are reinforced with methodological documentation and peer-reviewed analytical work across member and partner economies. The service delivery emphasizes interpretive context for drivers such as trade, inflation, labor markets, and fiscal conditions.
- +Uses standardized cross-country frameworks for consistent macro outlook comparisons
- +Provides detailed driver analysis for inflation, labor markets, and trade channels
- +Strong policy interpretability built for government and research workflows
- +Methodology transparency supports scrutiny of assumptions and mechanics
- –Less focused on real-time forecasting for rapidly moving daily markets
- –Country coverage may not match niche locales without additional custom work
- –Scenario modeling depth can be heavier than quick-turn outlook needs
Best for: Government, think tanks, and researchers needing policy-grade macro forecasts
KPMG
enterprise_vendorProvides economic impact assessment and macroeconomic modeling support that can include forecasting inputs for policy, infrastructure, and regulatory cases.
Macro scenario and policy impact modeling within cross-industry economic advisory engagements
KPMG stands out as a global professional services firm with deep macroeconomic and sector advisory experience for government and enterprise decision-making. Its economic forecasting services integrate econometric modeling, scenario analysis, and policy or market impact assessments across industries. Delivery typically emphasizes evidence-based assumptions, transparent methodologies, and stakeholder-ready outputs for planning and risk discussions. Teams apply forecasting to areas like demand outlooks, inflation and labor impacts, and investment or regulatory effects.
- +Uses econometric modeling and scenario analysis for defensible forecast assumptions
- +Strong sector expertise for translating macro drivers into industry outcomes
- +Produces stakeholder-ready reports for executives, regulators, and investors
- +Integrates policy and risk inputs into forecasts and impact assessments
- –Engagements can be heavy in documentation and governance for fast decisions
- –Best fit for large portfolios, not narrow one-off local forecasts
- –Forecast outputs may require client data quality to stay reliable
- –Timeline coordination can be complex across multi-country stakeholders
Best for: Enterprise and government clients needing macro-driven forecasts with advisory support
PwC
enterprise_vendorSupports economic forecasting and scenario modeling for strategy, regulatory analysis, and economic impact work across sectors.
Integrated macroeconometric scenario modeling tied to regulatory and sector risk factors
PwC stands out for combining macroeconomic analysis with deep sector and policy expertise across consulting, assurance, and tax. Its economic forecasting services support scenario modeling for growth, inflation, labor markets, and trade impacts on industries and regions. PwC teams also produce stakeholder-ready outputs that translate assumptions into decision-relevant narratives for executives and public-sector clients. Delivery typically integrates quantitative modeling with qualitative risks from regulatory change and market dynamics.
- +Scenario forecasting with sector and geographic depth for executive decisions
- +Strong integration of macro assumptions with policy and regulatory impact analysis
- +Decision-ready reports that connect model outputs to real business drivers
- –Complex engagements may require heavy stakeholder input to refine assumptions
- –Forecast granularity depends on data availability and agreed modeling scope
- –Outputs can be model-heavy for teams needing lightweight dashboards
Best for: Organizations needing policy-aware forecasts for sector strategy and investment planning
Dun & Bradstreet
enterprise_vendorProvides macroeconomic and business outlook research and forecasting-related analytics used by organizations for risk and market planning.
Credit-focused risk and distress signals for economic scenario monitoring
Dun & Bradstreet stands out for marrying credit and firmographics data with macro and regional business signals that support forward-looking planning. Core forecasting inputs include company-level risk attributes, industry classifications, and historical commercial performance measures used to inform demand and disruption scenarios. Analysts can connect Dun & Bradstreet business data to economic conditions to track stability, insolvency likelihood, and market momentum across geographies. The coverage is strongest for business-to-business forecasting and early warning workflows tied to vendor and customer behavior.
- +Uses credit and company data to ground forecasts in counterpart risk
- +Strong cross-industry coverage for scenario modeling by geography
- +Supports early-warning monitoring using insolvency and distress indicators
- +Enables B2B planning with structured firmographics and history
- –Forecast quality depends on correct entity matching and data setup
- –Macro outputs can feel less transparent than model-specific tools
- –Economic views focus on commercial impacts more than consumer demand drivers
- –Implementation effort increases for highly customized forecasting definitions
Best for: B2B organizations building early-warning economic and market risk forecasts
How to Choose the Right Economic Forecasting Services
This buyer’s guide explains how to evaluate Economic Forecasting Services providers using concrete capabilities from The Economist Intelligence Unit (EIU), Oxford Economics, S&P Global Market Intelligence, Fitch Solutions, World Bank Group, IMF, OECD, KPMG, PwC, and Dun & Bradstreet. It covers what capabilities matter, how to choose the right fit for specific decision workflows, and which common pitfalls to avoid. The guide also matches provider strengths to the audiences that each provider is best suited for based on real delivery focuses across the top 10.
What Is Economic Forecasting Services?
Economic Forecasting Services use macroeconomic models, data-driven indicator frameworks, and scenario design to produce forward-looking outlooks for growth, inflation, trade, and risk. These services help organizations convert assumptions into decision-ready outputs for strategy planning, risk assessment, investment timing, and policy discussion. The Economist Intelligence Unit (EIU) is a clear example of a provider that emphasizes country risk forecasting that links political and policy constraints to macro outcomes. Oxford Economics shows how the same category also supports scenario forecasting that connects macro drivers to sector demand and industry outcomes for enterprise planning and risk management.
Key Capabilities to Look For
These capabilities determine whether forecast outputs become usable inputs for planning, risk governance, and executive decision cycles.
Country risk forecasting tied to political and policy channels
EIU connects macro indicators to political and policy risk channels, which supports structured decision-making for strategy and risk teams. Fitch Solutions similarly integrates country risk perspectives with macro outlooks so forecasts map into investment and policy decision contexts.
Scenario forecasting that links macro drivers to sector demand
Oxford Economics stands out for scenario forecasting that links macro drivers to sector demand and industry outcomes. S&P Global Market Intelligence supports scenario-ready data through driver-based indicator frameworks, which helps operationalize stress testing across geographies and sectors.
Driver-based indicator frameworks that support stress testing
S&P Global Market Intelligence provides economic forecasts tied to market-moving indicators and includes methodological context that makes driver direction easier to operationalize. IMF provides transparent scenario framing for growth, inflation, and balance-of-payments risks that supports interpretation of forecast drivers.
Econometric consistency across macro and sector outputs
Oxford Economics uses an econometric forecasting model that supports consistent macro and sector projections for coherent planning assumptions. KPMG applies econometric modeling plus scenario analysis to produce defensible forecast assumptions and translate them into stakeholder-ready reports.
Institution-grade global outlooks with regular scenario publication
IMF is built around regularly published macroeconomic projections and scenario-based risk assessments used by policy makers and researchers. World Bank Group publishes consistent global and regional economic outlook forecasts with integrated risk scenarios and development indicators for credible macroeconomic projection work.
Data grounding for B2B early-warning economic risk workflows
Dun & Bradstreet connects credit and company data to economic conditions to support forward-looking planning and early-warning monitoring using insolvency and distress signals. This approach is suited to economic scenario monitoring that depends on entity matching and firmographic history rather than only aggregate macro indicators.
How to Choose the Right Economic Forecasting Services
A simple selection framework matches forecast purpose, required granularity, and internal analytics readiness to the provider’s delivery strengths.
Start with the decision type and required output granularity
If decisions depend on standardized, recurring global macro assumptions across countries, The Economist Intelligence Unit (EIU) fits best because it produces region-spanning macroeconomic forecasts and supports ongoing monitoring. If the goal is sector and industry planning from macro assumptions, Oxford Economics fits best because it builds macro and sector forecasts with coherent scenario design tied to econometric methods.
Map the scenario workload to the provider’s scenario mechanics
For stress testing that needs explicit driver-to-outcome linkages, S&P Global Market Intelligence provides scenario-ready data through driver-based indicator frameworks tied to market-moving variables. For scenario narratives tied to policy and development contexts, World Bank Group provides integrated risk scenarios with development indicators that support policy-oriented planning.
Choose the provider that matches your risk lens
If country risk must link macro outcomes to political and policy constraints, EIU excels and Fitch Solutions also integrates country risk with macro outlooks for planning under frequent updates. If risk interpretation must be tied to widely used macro frameworks and documented assumptions, IMF and OECD provide authoritative country and regional outlooks with scenario framing and methodology transparency.
Assess whether the forecast needs to be advisory plus model-ready
If forecasting must become an input to investment, regulatory, or infrastructure impact cases, KPMG is strong because it combines econometric modeling, scenario analysis, and policy or market impact assessments across industries. If forecasting must be embedded into regulatory and sector risk narratives for executives and public-sector clients, PwC fits because it integrates macro assumptions with policy and regulatory impact analysis in decision-ready reports.
Verify internal readiness for operationalizing scenario outputs
If internal teams need method context and driver mapping but have analytics to implement scenarios, S&P Global Market Intelligence is suited because research notes and indicator frameworks make forecasts easier to operationalize. If the workflow depends on entity-level counterpart signals for early warning, Dun & Bradstreet is suited because it grounds economic scenario monitoring in credit and firmographic history tied to insolvency and distress indicators.
Who Needs Economic Forecasting Services?
Economic Forecasting Services fit organizations that must convert macro uncertainty into structured planning assumptions, risk narratives, or early-warning signals.
Strategy and risk teams needing consistent global macro forecasts
The Economist Intelligence Unit (EIU) is built for strategy and risk teams that require consistent global macro forecasts and recurring decision cycles. Fitch Solutions also fits teams that need frequent macro and country risk forecasts mapped to planning and investment contexts.
Enterprises and policy teams that need scenario-driven macro plus sector planning
Oxford Economics is a strong fit because it links macro drivers to sector demand and produces coherent scenario-driven outputs for targeted geographies and industry constraints. PwC is well matched when scenario forecasting must connect macro assumptions to regulatory and sector risks for executive decisions and public-sector planning.
Enterprises that use institution-grade forecasts for investment and planning workflows
S&P Global Market Intelligence fits enterprises that rely on economic forecasts tied to market-moving indicators and want scenario-ready data for stress testing macro outcomes. KPMG fits when enterprises need advisory modeling support that turns macro drivers into stakeholder-ready impact assessments across sectors.
Government, research, and development organizations focused on credible regional outlooks
World Bank Group is best for government and research teams that need credible global and regional economic prospects tied to development indicators and integrated risk scenarios. IMF and OECD fit teams that require authoritative macro projections with transparent scenario framing and methodology documentation for policy-grade interpretation.
Common Mistakes to Avoid
Selection errors usually come from mismatching forecast purpose to the provider’s delivery style and output granularity.
Choosing a provider for ad hoc niche modeling when the workflow requires standardized recurring forecasts
EIU is strongest for recurring, standardized global macro and country risk work that supports consistent committee assumptions. Oxford Economics and S&P Global Market Intelligence are less ideal when only a fast ad hoc niche indicator model is needed without dedicated engagement effort.
Assuming scenario outputs will automatically be decision-ready without internal analytics readiness
S&P Global Market Intelligence can produce scenario-ready data that still requires internal analytics readiness to turn into usable scenarios. Fitch Solutions and EIU can also deliver dense outputs that take analyst time to interpret correctly for non-technical planning teams.
Using aggregate macro outlooks where entity-level early-warning signals drive the risk program
IMF and OECD provide country and regional outlooks with aggregate macro focus that does not prioritize firm-level modeling inputs. Dun & Bradstreet is better aligned for B2B early-warning workflows because it grounds economic risk monitoring in credit, insolvency, and distress signals.
Expecting model-ready sector forecasts without specifying assumptions and integration scope
Oxford Economics requires clear assumptions to avoid misinterpretation because scenario-driven outputs link macro drivers to sector implications. PwC and KPMG similarly produce decision-ready outputs when governance and stakeholder inputs are organized enough to keep forecast assumptions reliable.
How We Selected and Ranked These Providers
we evaluated every service provider on three sub-dimensions. Capabilities account for 0.4 of the overall score. Ease of use account for 0.3 of the overall score. Value account for 0.3 of the overall score. The overall rating is the weighted average using overall = 0.40 × features + 0.30 × ease of use + 0.30 × value. The Economist Intelligence Unit (EIU) separated itself because its country risk forecasting connects macro indicators to political and policy risk channels, which strengthens capabilities for strategy and risk teams that need consistent recurring assumptions.
Frequently Asked Questions About Economic Forecasting Services
How do economic forecasting services differ between macro-only providers and full scenario modeling providers?
Which providers are strongest for country risk forecasting tied to political and fiscal channels?
Which service is best suited for enterprise demand planning across regions and industries?
What delivery formats do economic forecasting services typically offer, and which fits analyst workflows?
Which providers support commissioned or customized modeling for specific geographies and assumptions?
How do institutions like the IMF and OECD structure forecasting assumptions and interpretation?
Which providers are best for integrating macro forecasts into investment and treasury decision-making?
What technical inputs are usually needed to operationalize forecasts inside an organization?
Which common forecasting problems do these services aim to reduce, and what signals indicate readiness to use them?
How should teams get started when selecting a forecasting service for near-term decision cycles?
Conclusion
After evaluating 10 economics, The Economist Intelligence Unit (EIU) stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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