Independent analyst firm IDC has placed IBM in the Leaders category of its 2026 MarketScape for Worldwide Enterprise Planning, Budgeting, and Forecasting Applications — and it’s worth understanding what that means for finance teams evaluating their options.
What Is the IDC MarketScape?
The IDC MarketScape is one of the most respected vendor assessments in enterprise technology. To be included, vendors must exceed $85 million in enterprise planning software revenue — which filters the analysis to platforms with real market scale. Vendors are scored on two axes: current capabilities and future strategy. Leaders must demonstrate strength on both. IBM Planning Analytics did.
The Market Context: Why This Moment Matters
Finance teams are under pressure to do more than produce an annual budget. Rising business volatility, expanding data requirements, and the rapid introduction of generative AI are reshaping expectations. The new standard is continuous planning — higher frequency, greater accuracy, deeper cross-functional collaboration. IDC’s 2026 assessment was conducted against that backdrop, and the platforms in the Leaders category are the ones built to meet it.
“Enterprise planning, forecasting, and budgeting applications are becoming the backbone of financial resilience. The ability to pair GenAI and agentic workflows with trusted, governed data will help drive accuracy, consistency, and continuous insights.” — Megha Kumar, Research VP, Analytics & AI, IDC
What IDC Said About IBM Planning Analytics
The IDC report describes IBM’s Planning Analytics platform as delivering an AI-powered, agentic, and integrated planning solution that automates budgeting, forecasting, and financial planning. According to IDC, the platform enables real-time analysis and collaboration across enterprise functions, combining strong back-end performance with modern user interfaces, and supports both hybrid deployments and integrated planning scenarios.
IDC specifically called out three strengths:
STRENGTH 01
The platform offers a choice between the web-based Planning Analytics Workspace and an Excel add-in environment — addressing the reality that different users in the same organization have different workflow preferences.
STRENGTH 02
IBM has GenAI features in production today — including chart insights, forecast insights, outlier analysis, and natural language summarization — integrated directly into the planning workflow so users don’t need data science expertise to benefit from them.
STRENGTH 03
The platform includes full system-wide auditability, tracking user actions and allowing rollback to any historical point — a capability that directly supports compliance requirements and builds trust in AI-generated insights.
AI STRATEGY
IBM’s AI strategy combines out-of-the-box AI experiences with composable tools for custom agentic workflows — built on watsonx foundations with a natural language Planning Analytics Assistant for insight extraction.
IDC’s “Consider IBM When” Guidance
DIRECTLY FROM THE IDC REPORT
IDC advises organizations to consider IBM Planning Analytics when they are seeking an AI-enabled planning platform with:
- Flexible deployment options (cloud, hybrid, or on-premises)
- Integrated planning capabilities across business functions
- Support for data residency requirements across regions
This is meaningful guidance. It tells you what kind of organization IBM Planning Analytics is best suited for — one that needs enterprise-grade flexibility, not a one-size-fits-all SaaS setup, and one that takes data governance and compliance seriously.
What This Means If You’re Evaluating Planning Platforms
IDC’s 2026 assessment also included practical guidance for technology buyers — eight specific considerations for organizations going through a platform evaluation this year. The themes are worth understanding even if you’re not actively in a buying process:
IDC’S ADVICE FOR TECHNOLOGY BUYERS
- Evaluate what processes you want to automate and what you can standardize — finance teams are often short-staffed and standardization drives adoption
- Assess vendors not just on AI accuracy but on AI governance and management capabilities within the platform
- Prioritize low-code/no-code capabilities and ease of building financial models
- Ensure vendors offer transparency around how data is managed by AI and the ability to “bring your own model”
- Build an AI-ready data strategy internally before deploying AI-generated insights into decision-making workflows
The Revelwood Perspective
We’ve been implementing IBM Planning Analytics for finance teams for years. We’ve seen what it does in practice — not just what it promises in a demo. The IDC recognition validates what our clients tell us regularly: IBM Planning Analytics is a serious platform built for serious planning challenges.
The GenAI and agentic capabilities IBM is building are not vaporware. They are in production. The Excel-native and web interface choice matters enormously to real finance users who were trained on spreadsheets. And the auditability features — the ability to roll back to any historical state — are exactly the kind of trust-building infrastructure that gets finance leaders comfortable moving beyond the spreadsheet.
If you’re in the early stages of an FP&A platform evaluation, or you’re already on IBM Planning Analytics and wondering how it compares to the competition, this IDC excerpt is worth reading in full. It gives you independent language to use internally when building your business case — and it shows you exactly how IBM stacks up against Oracle, Anaplan, SAP, Workday, OneStream, and others in the Leaders category.
Read the IDC MarketScape Report
Get your complimentary copy of the 2026 IDC MarketScape excerpt featuring IBM as a Leader in enterprise planning, budgeting, and forecasting.
