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Aibidia's annual industry report explores how transfer pricing professionals are responding to rising audit scrutiny, operational complexity, fragmented data environments, and the growing role of AI. Join the waitlist to be first to know when it launches, or explore insights from the 2025 edition while you wait.
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Compare your team's approach against how transfer pricing professionals worldwide are responding to rising audit scrutiny, operational complexity, and the growing role of AI.
The report captures how transfer pricing professionals are working in practice, from audit readiness and operational maturity to data management and AI adoption.
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Heightened tax authority demands are driving up the time and money TP teams spend on audits. Companies with stronger documentation processes, centralised data, and proactive OTP practices are better positioned to contain both costs and risk.
Only 35% of companies have a well-defined OTP process, while 24% have none at all. Barriers to OTP maturity include poor data access, complex business models, and limited coordination between tax, finance, and IT.
With 72% of companies in fragmented data environments, the report shows how centralised data helps TP teams insource more processes, ensure consistent compliance, and handle audits more efficiently.
42% of MNEs are investing in specialist software, reducing reliance on traditional tools. AI interest is steady rather than explosive, hinting that TP teams need clean, structured data before advanced analytics can add value.
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138 professionals share how their transfer pricing functions operate today, from data sourcing and audit pressure to AI readiness.
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Transfer pricing has always been complex. What is changing is the nature of that complexity.
For years, the challenge for multinational tax teams was largely one of compliance: setting appropriate policies, documenting them, and demonstrating that the organization had met its obligations.
That challenge has not disappeared. But it is being joined by something much bigger.
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Tax authorities have more data and far better analysis. Finance leaders expect unprecedented visibility. AI is raising expectations for speed across the board. Yet, the foundations of operational transfer pricing remain fragmented.
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