Market Insight: What Climate Financial Data and Analytics Buyers Value – And Overlook – In Vendors' AI Strategies

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Executive Summary

Financial institutions prioritize high-quality, transparent and comprehensive raw data over AI capabilities when selecting climate financial data and analytics (CFD&A) vendors. Indeed, AI rarely influences purchasing decisions. We reached this conclusion through primary research conducted for the Verdantix Green Quadrant: Climate Financial Data And Analytics (2026), which included 12 interviews with 15 buyers across asset managers and banks. This report is designed for product leaders and strategists within CFD&A firms, and provides a detailed view of how AI capabilities are currently perceived in the market and how they are evolving across vendor offerings. Drawing on analysis from the Green Quadrant and insights from buyers, it explores the capabilities that differentiate leading solutions today and outlines key considerations for teams shaping their AI product strategy, such as approaches to in-house development, partnerships and potential M&A.

Buyers prioritize raw data over AI in CFD&A vendor selection
AI is not a core purchasing criterion and delivers limited current value
Vendors are overinvesting in client-facing AI capabilities 
Buyer value lies in AI-optimized data architecture
Data quality, coverage and interoperability drive vendor choice for buyers
Buyers gain tangible value through AI-enabled data ecosystems

About the Authors

Felicity Laird

Felicity Laird

Principal Analyst

Felicity is a Principal Analyst at Verdantix, where she helps financial institutions and technology vendors navigate the evolving climate finance data and analytics landscape....

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Ryan Skinner

Ryan Skinner

VP Research

Ryan is a VP Research at Verdantix, where he leads a team of analysts delivering research, data and advisory services that help clients navigate the fast-evolving landscape of...

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