A new academic paper by Straub et al. (2026) provides one of the most comprehensive reviews of this ecosystem to date. Its central conclusion is clear: while the proliferation of tools reflects important innovation, it has also created a fragmented and sometimes inconsistent landscape that can be difficult for users to navigate.
No single methodology, the authors find, currently delivers across all dimensions that matter—breadth of coverage, depth of analysis, and scalability across large numbers of companies. Instead, each approach involves trade-offs. Some offer deep, contextual insights but limited coverage. Others achieve scale but with less granularity. This divergence can lead to confusion, particularly when different tools produce contrasting assessments of the same company.
One of the most important insights from the paper is that the next phase of development in this space is likely to be defined not by a single “winning” methodology, but by greater integration across them.
This is where composite approaches come into focus.
Tools that bring together multiple methodologies—rather than competing with them—are emerging as a promising way to reconcile differences, expand coverage, and provide more decision-useful insights. By enabling users to compare underlying components and understand why assessments differ, these approaches can help move the market beyond headline scores toward more nuanced and transparent analysis.
Composite assessments like TransitionArc and CA100+ provide one forward-looking approach to how methodological diversity can be harnessed constructively.
TransitionArc was highlighted in the paper as part of this emerging direction. As a platform that integrates multiple sources of transition data, it is designed to help users navigate a complex ecosystem and make sense of differing perspectives. The research notes that such approaches can achieve a stronger balance between depth, breadth, and scale than any individual methodology alone.
Importantly, the paper also reinforces that this is still a work in progress—not just for TransitionArc, but for the entire field. Key challenges remain around transparency, consistency, and the availability of high-quality underlying data. Addressing these challenges will require continued collaboration across data providers, standard setters, and users.
For us, this points to a clear priority: building tools that do not attempt to replace the diversity of methodologies in the market but instead make that diversity usable.
Looking ahead, we see three areas as particularly important.
First, improving transparency—helping users understand not just what a rating is, but how it has been constructed and what sits behind it.
Second, enhancing interoperability—ensuring that different methodologies and frameworks can be compared, combined, and interpreted in a coherent way.
And third, continuing to scale coverage—so that robust transition insights are available across a much broader universe of companies globally.
The transition to a low-carbon economy depends on capital being allocated effectively. That, in turn, depends on decision-makers having access to information that is both credible and usable.
As this research makes clear, the future of climate transition assessment will not be simplifying the landscape into a single view—but about building the tools that allow us to navigate its complexity with confidence.
Keen to hear more?
Read the full paper.
