Gartner's 2025 Magic Quadrant evaluation of 14 financial planning software vendors shows a rapidly maturing market — with 8 vendors earning Leader status and AI-native capabilities now a baseline requirement rather than a differentiator. Here's what the landscape looks like and what it means for finance teams evaluating platforms.
The 2025 MQ is particularly significant because it marks the first time Gartner made AI-native capabilities a mandatory evaluation criterion rather than an optional differentiator. This single change reshaped the competitive landscape: vendors that had positioned AI as a roadmap item were disqualified from top positions, while AI-first vendors saw the most dramatic ranking improvements.
2025 Leaders: An Expanded Field
For the first time, 8 of 14 evaluated vendors earned Leader status, reflecting the rapid maturation of the financial planning software market. The 2025 Leaders are Oracle, Anaplan, Workday Adaptive Planning, SAP, OneStream, Jedox, Board International, and Wolters Kluwer CCH Tagetik.
- Oracle: Strongest on enterprise scalability and ERP integration
- Anaplan: Best-in-class for connected planning across business units
- Workday Adaptive Planning: Top scores for usability and time-to-value
- SAP: Leading for SAP ERP-centric organisations
- OneStream: Strongest financial consolidation capabilities
- Jedox: Best value for mid-market organisations
Challengers and Visionaries
Pigment was named a Visionary — recognized for innovative AI-native architecture and rapid product development pace, even while lacking the market presence of Leaders. Challengers include established vendors with strong execution but more limited innovation roadmaps.
AI Is Now Table Stakes
The 2025 evaluation made AI capabilities mandatory for the first time. All Leaders and Challengers must demonstrate: natural language querying of financial data, AI-generated forecast suggestions, automated anomaly detection, and conversational report generation. The bar for 'AI-enabled' has risen dramatically since 2023.
Key Evaluation Criteria for Buyers
Gartner recommends finance teams evaluate platforms on five dimensions: (1) scenario planning depth and ease of use, (2) data integration breadth and quality, (3) total cost of ownership including implementation, (4) AI forecast accuracy and explainability, and (5) vendor stability and roadmap commitment.
- Pilot with your actual data before committing — don't rely solely on demos
- Evaluate model governance and auditability, especially for regulated industries
- Assess change management requirements — user adoption drives ROI
- Request references from organisations similar in size and complexity to yours
Market Outlook: Consolidation Ahead
Gartner anticipates significant consolidation in the 2026-2028 timeframe as enterprise software giants (Oracle, SAP, Workday) expand their financial planning capabilities and acquire specialist vendors. Finance teams selecting platforms today should evaluate long-term vendor stability carefully.
Finance teams that select a planning platform based solely on current features are making a mistake. Vendor stability and roadmap commitment matter as much as what the product does today.— Gartner Research (2025 Magic Quadrant for Financial Planning Software)
Practical Implementation Checklist
- Request a pilot with your own actual data — a minimum of 3 months of real data should be used in any serious vendor evaluation, not the vendor's demo data
- Evaluate AI forecast explainability specifically: can the platform explain why it generated a particular forecast? Boards and auditors will ask
- Request references from organisations with similar complexity (similar number of entities, planning dimensions, and user count) — general references are not sufficient for enterprise decisions
- Factor total cost of ownership into your business case: implementation services, training, change management, and integration often equal or exceed year-one license costs
- Assess model governance and auditability requirements before finalising your shortlist — regulated industries have specific needs that some platforms don't support
- Evaluate vendor stability explicitly: check funding history, customer growth rate, and M&A rumours — a platform acquisition mid-implementation is a significant operational risk
The 2025 Gartner MQ confirms a maturing market where AI is now the floor, not the ceiling. Finance teams selecting platforms today should optimise for long-term vendor stability and implementation success as much as current feature sets — the switching costs are high enough that the vendor relationship matters as much as the software.
Key Takeaways
8 of 14 vendors earned Leader status — the market is maturing rapidly
AI capabilities are now table stakes, not differentiators
Pilot with real data before committing — demos don't reveal implementation complexity
Market consolidation is expected 2026–2028 — evaluate vendor stability carefully
Total cost of ownership including implementation often exceeds license costs
AI forecast explainability is a new mandatory criterion — boards and auditors require it
References from organisations with similar complexity are more valuable than general customer endorsements
