8 Best Financial Forecasting Software Tools in 2026

Forecasting is the hardest recurring job in finance, and the one most worth getting right. Financial forecasting software exists to make it faster and more accurate: pulling actuals from your systems, modeling revenue and expenses, running scenarios, and refreshing the numbers as reality changes, instead of rebuilding a fragile spreadsheet every cycle. But the category spans everything from enterprise planning platforms to Excel-native tools to AI agents, and they are not interchangeable.

This guide compares the eight best financial forecasting software tools in 2026, from enterprise FP&A platforms like Workday Adaptive Planning and Anaplan to modern and spreadsheet-native tools like Pigment, Cube, and Datarails, plus the AI agents that build and refresh the forecast for you rather than give you another place to model it. For each, we cover what it is best at, who it fits, and where it falls short.

What is the best financial forecasting software?

The best financial forecasting software in 2026 is Concourse for teams that want AI agents to build and refresh forecasts end to end, Workday Adaptive Planning and Anaplan for enterprise planning, Planful for FP&A plus consolidation, Pigment for modern multi-dimensional modeling, and Vena, Cube, and Datarails for spreadsheet-native forecasting.

Concourse is the AI-agent option on this list. Instead of another modeling surface you build forecasts in, Concourse deploys autonomous finance agents that connect to your ERP, data warehouse, and billing systems and build, refresh, and analyze forecasts, revenue, expense, and cash, on a schedule or on request, with every number traceable back to source. It is built for finance teams that want AI to do the forecasting work, not just host the model.

How we evaluated financial forecasting software

Forecasting tools differ in depth, modeling style, and who they are built for. We compared these across the criteria that actually change the decision:

• Forecasting depth. Driver-based modeling, scenario and what-if analysis, rolling forecasts, and multi-dimensional planning.
• Data connectivity. How well it pulls actuals from your ERP, data warehouse, and source systems to keep forecasts current.
• Modeling style. Whether you model in a dedicated platform UI or stay in Excel and Google Sheets.
• Automation vs. manual build. Whether the tool helps a person build the forecast or produces and refreshes it for them.
• AI capability. From a copilot over your model to autonomous agents that generate the forecast.
• Fit and ideal size. From lean startups to global enterprise planning.

Financial forecasting software compared

The 8 best financial forecasting software tools in 2026

1. Concourse, Best for AI Agents That Build the Forecast

Concourse is an AI agent platform for corporate finance. Rather than another surface to build models in, it connects directly to your ERP, data warehouse, and billing systems and produces the forecasting work itself: building and refreshing revenue, expense, and cash forecasts, running scenario and variance analysis, and answering ad hoc questions across your data, on a schedule or on request.

What sets it apart from a modeling-first platform is the execution model. Concourse does not just centralize data for an analyst to build a forecast; its agents own the work end to end, and every output traces back to source data and is validated against evals built for your business, which answers finance's biggest objection to AI: whether you can defend the number to a board or an auditor. It meets teams where they work, inside ChatGPT, Claude, Slack, Teams, and email, and exports to Excel, PowerPoint, and Google Sheets. Concourse reports customer results including a 75% reduction in manual work and 20+ hours saved per user per month, is SOC 2 Type II certified, and connects to 100+ systems including NetSuite, QuickBooks, Snowflake, Salesforce, and Stripe.

Best for. Finance teams that want AI agents to actually build, refresh, and analyze forecasts with full traceability, rather than another tool to model in.

Keep in mind. Concourse is an execution and analysis layer, not a spreadsheet modeling grid. If your team's core need is hand-building complex driver models in a UI, use Concourse to run the forecasting and analysis on top rather than as a like-for-like modeling swap.

2. Workday Adaptive Planning, Best for Enterprise Cloud FP&A

Workday Adaptive Planning is one of the most established enterprise FP&A platforms, covering budgeting, forecasting, and scenario modeling with embedded AI/ML. Originally Adaptive Insights, it was acquired by Workday in 2018 for $1.55 billion and is now part of Workday (NASDAQ: WDAY). It is a repeat Leader in Gartner's Magic Quadrant for financial planning software.

Best for. Mid-market to enterprise finance teams that want a proven, full-featured cloud FP&A platform, especially Workday customers.

Keep in mind. It is a full platform with enterprise implementation and cost; lean teams may find it heavier than they need.

3. Anaplan, Best for Enterprise Connected Planning

Anaplan is the enterprise heavyweight for connected planning across finance, sales, and supply chain at scale, with powerful multi-dimensional modeling. It was taken private by Thoma Bravo in 2022 for roughly $10.4 billion (announced at $10.7 billion). It suits large, global organizations with complex, cross-functional forecasting.

Best for. Large enterprises with complex, connected planning needs across multiple functions.

Keep in mind. It is the heaviest and most expensive option here, and overkill for most mid-market forecasting.

4. Planful, Best for FP&A + Consolidation

Planful is a cloud FP&A and financial performance management platform pairing structured planning and forecasting with consolidation and strong reporting across many entities. Founded in 2001 as Host Analytics and rebranded to Planful in 2020, it is owned by Vector Capital. It is a common choice for teams that need forecasting and consolidation together.

Best for. Mid-market to enterprise teams that want forecasting plus multi-entity consolidation on one platform.

Keep in mind. Reviewers buy it for the planning-plus-consolidation combination rather than the most cutting-edge AI.

5. Pigment, Best for Modern Multi-Dimensional Modeling

Pigment is an AI-native, multi-dimensional planning platform known for strong modeling and a modern interface, often cross-shopped as a contemporary Anaplan alternative. Founded in Paris, it raised a $145M Series D in 2024 led by ICONIQ Growth, reaching a reported $1 billion valuation.

Best for. Growth to enterprise companies that want modern, integrated forecasting and planning across functions.

Keep in mind. It carries more platform and implementation weight than a spreadsheet tool, at a premium price point.

6. Vena, Best for Excel-Native Forecasting

Vena delivers forecasting, budgeting, and reporting inside a familiar Excel interface, with centralized governance and its Vena Copilot AI assistant. It removes the version-control problems of raw spreadsheets while keeping teams in Excel. Vena has raised around $476 million, including a $300 million round led by Vista Equity Partners.

Best for. Mid-market teams committed to Excel that want governed forecasting without leaving the spreadsheet.

Keep in mind. It is Excel-centric by design, which is the appeal for some teams and a limit for others.

7. Cube, Best for Spreadsheet-Native Lean Teams

Cube is a spreadsheet-native FP&A platform connecting Excel and Google Sheets to a centralized, governed data layer, so lean teams can forecast and report without leaving the spreadsheet. Founded in 2018, it raised a $30 million Series B led by Battery Ventures and remains independent.

Best for. Fast-scaling startups and mid-market teams that want a modern layer across Excel and Google Sheets.

Keep in mind. It is spreadsheet-centric, so very complex enterprise modeling can eventually outgrow it.

8. Datarails, Best for Excel-Centric FP&A

Datarails automates data consolidation, forecasting, and reporting on top of Excel, letting teams keep their existing models while centralizing the data, with an AI assistant (FP&A Genius). Founded in 2015, it raised a $70M Series C led by One Peak at around a $550M valuation. It is a strong fit for Excel-first mid-market teams.

Best for. Excel-centric SMB and mid-market finance teams that want forecasting and reporting automated around their spreadsheets.

Keep in mind. Very complex multi-entity modeling can push teams to a heavier platform. See our Datarails alternatives guide for the fuller picture.

Also worth a look: for enterprise EPM, OneStream, Oracle, and SAP also cover forecasting as part of broader suites; and for cash-flow forecasting specifically, see our guide to the best cash forecasting tools. We kept the main list to the platforms most commonly evaluated for FP&A forecasting.

Which financial forecasting software is right for you?

There is no single best financial forecasting software, only the best fit for your size, modeling style, and biggest bottleneck.

• Choose Concourse if you want AI agents to build and refresh forecasts end to end, with every number traceable and board-ready.
• Choose Workday Adaptive Planning if you want a proven enterprise cloud FP&A platform, especially on Workday.
• Choose Anaplan if you are a large enterprise with complex, connected planning across functions.
• Choose Planful if you want forecasting plus multi-entity consolidation together.
• Choose Pigment if you want modern, AI-native multi-dimensional modeling.
• Choose Vena or Datarails if you want governed forecasting without leaving Excel.
• Choose Cube if you are a lean team that wants a modern spreadsheet-native layer.

The clearest shift in 2026 is between tools that give you a better place to build the forecast and AI agents that produce and refresh it for you. Most of this list is the former; the AI-agent layer is the latter, and increasingly teams pair a planning tool with an agent that runs the forecasting and analysis on top.

Frequently asked questions

What is the best financial forecasting software?

It depends on your size and modeling needs. Workday Adaptive Planning and Anaplan lead for enterprise planning, Planful for forecasting plus consolidation, Pigment for modern modeling, and Vena, Cube, and Datarails for spreadsheet-native teams. For teams that want AI agents to build and refresh forecasts end to end with audit-ready traceability, Concourse is the strongest AI-agent option.

What is the best financial forecasting software for small businesses?

Smaller and lean finance teams typically look at spreadsheet-native tools like Cube or Datarails for quick-to-deploy forecasting, and increasingly at AI-agent platforms like Concourse to build and refresh forecasts without maintaining models by hand.

How is an AI agent different from forecasting software like Anaplan?

A platform like Anaplan is where you build the forecast: it centralizes data and provides a modeling surface for a person to plan in. An AI agent platform like Concourse produces the forecast itself, pulling actuals, building and refreshing the model, and running scenarios across your systems, with a human approving. One is where you model; the other does the work.

Does Concourse replace financial forecasting software?

For the forecasting work itself, building, refreshing, and analyzing forecasts, Concourse agents can produce those outputs directly from your source data. If your team specifically wants a spreadsheet or platform surface to hand-build complex driver models, run Concourse on top of it. If your priority is getting accurate forecasts produced and kept current, Concourse can own those workflows.

The bottom line

Financial forecasting software ranges from enterprise planning platforms to Excel-native tools, and the right one depends on your scale and modeling style. Workday Adaptive Planning and Anaplan anchor the enterprise, Pigment leads modern modeling, and Vena, Cube, and Datarails own spreadsheet-native mid-market forecasting.

The bigger shift is from software that gives you a better place to build the forecast to software that produces it. If you want to see what AI agents can do across revenue, expense, and cash forecasting, all with every number traceable and board-ready, book a demo of Concourse and put an agent on your next forecast.