Report:
The Forrester Wave™: AI Decisioning Platforms, Q2 2025
How does Forrester define the AI Decisioning Platforms market in 2025?
AI decisioning platforms transform how organizations operationalize both human intelligence and AI at scale, enabling faster, more accurate decisions across complex business processes. Enterprises must blend the best of human expertise, the business rules of engagement, and machine intelligence to succeed with AI. These platforms provide the critical capabilities to orchestrate data, models, and human oversight and to ensure trust, compliance, and agility. Organizations that use AI decisioning platforms can build AI decisioning agents that autonomously adapt to real-time data, maximize decision intelligence, and deliver tailored outcomes, enabling scalable deployment under robust governance and business outcome monitoring.
Key Facts for The Forrester Wave™: AI Decisioning Platforms, Q2 2025 in 2025
- Publication Date: 10-Jun-2025
- Document ID: 9e1cac4e
- Summary: In our evaluation of AI decisioning platform providers, we identified the most significant ones and researched, analyzed, and scored them. This report shows how each provider measures up and helps you select the right one for your needs.
- Authors: Mike Gualtieri, Sudha Maheshwari, Bardia Razzaghi, Jen Barton
How did the AI Decisioning Platforms market evolve in 2025?
- Enterprises compete on decisions — intelligence, flexibility, and speed
- AI decisioning platforms transform how organizations operationalize both human intelligence and AI at scale
- Platforms enable faster, more accurate decisions across complex business processes
- Organizations must blend human expertise, business rules of engagement, and machine intelligence to succeed with AI
- Platforms provide critical capabilities to orchestrate data, models, and human oversight
- AI decisioning platforms ensure trust, compliance, and agility
- Organizations can build AI decisioning agents that autonomously adapt to real-time data
- Platforms maximize decision intelligence and deliver tailored outcomes
- Enable scalable deployment under robust governance and business outcome monitoring
What product features are required to be included in this year's evaluation?
- Broad, enterprise-level support
- A solution available for purchase as a standalone product
- Substantial revenue in the market ($10 million minimum annual revenue)
- Mindshare among Forrester's enterprise clients
What are the common features of top products in the AI Decisioning Platforms space?
No common features specified.
Scope Exclusions
- Solutions not available as standalone products with their own pricing
- Vendors with less than $10 million in annual revenue from AI decisioning platforms
- Vendors without demonstrated enterprise-level support capabilities
- Solutions lacking mindshare among Forrester's enterprise clients
Inclusion Criteria
Vendors must, among other requirements:
- Broad, enterprise-level support - The vendor natively provides all core functions for this space and has a demonstrated track record for supporting large enterprises
- A solution available for purchase as a standalone product - The product has its own pricing and is not solely available as a free feature within a larger portfolio
- Substantial revenue in the market - The vendor has at least $10 million in annual revenue from the AI decisioning platform product in the last four quarters
- Mindshare among Forrester's enterprise clients - Forrester clients frequently mention the product as one they are considering prior to a purchase
Offering Strengths — Relative Weighting
- Data modeling — 5%
- Data integration — 5%
- Decision authoring — 10%
- Decision testing — 10%
- Optimization — 10%
- Cohesive experience — 10%
- Intuitive experience — 10%
- Lifecycle — 10%
- Transparency — 10%
- Observability — 10%
- Extensibility — 5%
- Autoscaling — 5%
Strategy Strength — Relative Weighting
- Vision — 20%
- Innovation — 15%
- Roadmap — 20%
- Partner ecosystem — 15%
- Adoption — 15%
- Supporting services and offerings — 15%
FAQs
Q: What does this research cover?
A: This research evaluates 15 AI decisioning platform providers across their current offerings and strategies. It covers platform capabilities including data modeling, integration, decision authoring, testing, optimization, governance, user experience, and architecture. The evaluation examines vendor vision, innovation, roadmap, partner ecosystems, adoption, and support services to help enterprises select the right platform for their AI decisioning needs.
Q: Who should use this research?
A: AI decisioning platform customers should use this research to inform purchase decisions by evaluating vendors based on three critical factors: 1) Usability by business experts through intuitive low-/no-code interfaces, 2) Composable decisioning architecture to power AI decisioning agents that adapt to real-time data, and 3) Embedded governance features including audit trails, explainability, and compliance controls. The research helps match vendor strengths to specific enterprise requirements across industries and use cases.
Q: What are the mandatory features of vendors included in this market?
A: Vendors must provide: 1) Broad, enterprise-level support with all core decisioning functions and demonstrated track record with large enterprises; 2) A standalone product available for purchase with its own pricing model; 3) Substantial market revenue of at least $10 million annually from the AI decisioning platform; 4) Mindshare among Forrester clients, frequently mentioned in purchase considerations during inquiries, advisories, and consulting engagements.
Q: What are some reasons for not being included in this report?
A:
- Product not available as a standalone offering with separate pricing
- Annual revenue from AI decisioning platform below $10 million threshold
- Lack of demonstrated enterprise-level support capabilities
- Insufficient mindshare among Forrester's enterprise client base
- Product not mentioned frequently by clients in purchase considerations
- Vendor declined to participate or only partially participated in evaluation
Q: What should buyers consider when evaluating products in this market?
A:
- Usability by business experts - Platforms must offer intuitive, low-/no-code interfaces to empower business users to create, manage, and optimize decisioning workflows
- Composable decisioning to power AI decisioning agents - Modular architecture allows organizations to build AI decisioning agents that autonomously adapt to real-time data
- Decisioning platforms that embed governance - Robust governance features, including audit trails, explainability, and compliance controls, ensure trust and ethical AI use
Q: How has the AI Decisioning Platforms market evolved in 2025?
A:
- Enterprises compete on decisions — intelligence, flexibility, and speed
- AI decisioning platforms enable faster, more accurate decisions across complex business processes
- Organizations must blend human expertise, business rules of engagement, and machine intelligence
- Platforms enable building AI decisioning agents that autonomously adapt to real-time data
- Focus on scalable deployment under robust governance and business outcome monitoring
Q: What differentiates Strength of Offering vs. Strength of Strategy?
A: Current Offering (vertical axis) measures the strength of a vendor's current platform capabilities including data handling, decision authoring and testing, user experience, governance features, and technical architecture. Strategy (horizontal axis) measures the strength of a vendor's strategic direction including vision, innovation, product roadmap, partner ecosystem, market adoption, and implementation services.
Reference
- Forrester, The Forrester Wave™: AI Decisioning Platforms, Q2 2025, 10-Jun-2025, ID 9e1cac4e
View Leaders
View Vendor Movements
