Private credit has evolved from a niche market into one of the fastest-growing areas of alternatives, with assets under management now above $1.7tn and forecast to double by the end of the decade.
According to ACA Group, in the US, momentum has been strengthened by anticipated Federal Reserve rate cuts and an Executive Order permitting 401(k) retirement plans to access alternative assets. This policy shift could open up a $9tn defined-contribution market, significantly expanding investor access to private credit.
As retail capital becomes a bigger part of this expansion, scrutiny is intensifying. Alternative assets are associated with higher fees, lower liquidity and greater fiduciary responsibilities. Plan sponsors will need rigorous due diligence and transparent reporting to comply with Employee Retirement Income Security Act (ERISA) standards and manage litigation risk. For managers, this makes robust ESG data frameworks essential, moving them from optional extras to a central requirement.
Limited partners are also demanding more than basic questionnaires and “tick-box” exercises. They want evidence that ESG considerations are embedded in investment decisions, risk management and value creation. In today’s fast-growing credit market, supported by regulatory and policy changes, ESG infrastructure has become a fundraising differentiator. Managers must build ESG data strategies that are flexible, transparent, and in line with how deals are executed.
However, traditional ESG tools built for equity markets often fail to meet the needs of credit. Questionnaires can be useful in private equity but produce incomplete results in credit, where structured deals often obscure the underlying assets. For example, a Collateralised Loan Obligation (CLO) can involve hundreds of opaque borrowers, adding layers of complexity. Relying solely on peer-benchmarked models or passive data scraping risks overlooking critical insights.
Proactive engagement in direct lending has proven effective. When managers incorporate ESG early in the deal process and foster relationships with borrowers, deal teams and sponsors, they produce higher-quality datasets. Engagement varies by deal structure, involving sponsors, syndicate leads or intermediaries, but the most effective outcomes come from tailored approaches.
Ultimately, ESG success in credit depends less on tools and more on execution, transparency and integration. Firms that treat ESG as fundamental data infrastructure, rather than just a reporting obligation, are positioned to stand out. By embedding ESG into risk management, pricing, and portfolio oversight, managers can transform it from a fragmented burden into a strategic advantage for fundraising and performance.
For limited partners, this means access to reliable, decision-useful data to guide capital allocation. For managers, it underscores the importance of solutions capable of orchestrating diverse data inputs across vendors, models and borrower touchpoints into a single, governed workflow.
Specialised ESG partners, such as ACA, are stepping in to help firms operationalise these strategies. Their support spans data collection, validation and integration across portfolios, enabling firms to elevate ESG into a core component of credit management.
In structured credit, where engagement opportunities are limited, blended models combining scraping, estimation and peer analysis are necessary. Transparency around how these datasets are compiled is critical: investors need to understand what is directly sourced, what is estimated, and what is modelled. Without clarity, ESG data risks undermining investor trust.
The abundance of ESG data platforms adds another layer of complexity, with most providers focusing narrowly on specific functions. This forces investors to cobble together fragmented systems. An orchestration platform can harmonise these disparate inputs, delivering decision-ready outputs and streamlining workflows.
ACA’s Ethos platform is designed for this purpose. It integrates AI-driven scraping, estimation tools and survey technologies into a single hub, reducing vendor clutter and transforming ESG data into an actionable ecosystem. With dashboards and analyst overlays, ACA Ethos moves ESG information beyond compliance reporting, making it usable for decision-making across credit strategies.
Copyright © 2025 FinTech Global
