AI Is Rewriting the Economics of Merchant Acquiring

Why It Matters

AI converts transaction data into high‑value services, turning acquiring into a competitive advantage rather than a cost center, and reshapes the balance of power between banks and PayTech firms.

Key Takeaways

• Merchant acquiring revenue to double to $50bn by 2034
• AI transforms data into pricing, retention, inventory insights
• Agentic commerce forces merchants to rely on AI-enabled acquirers
• Bank‑backed acquirers can regain relevance via AI orchestration
• PayTechs dominate SME volume; banks risk margin erosion

Pulse Analysis

The merchant acquiring landscape has traditionally been defined by scale, thin margins, and incremental volume growth. Recent forecasts from Capgemini suggest that global acquiring revenues could rise from roughly $25 bn today to nearly $50 bn over the next ten years. This expansion is not merely a function of e‑commerce or contactless payments; it is being accelerated by artificial intelligence that unlocks actionable intelligence from massive transaction streams. By applying machine‑learning models, acquirers can deliver pricing optimization, churn reduction, and inventory forecasting—services that were once the domain of specialized analytics firms.

A second wave of disruption stems from the rise of agentic commerce, where AI agents mediate consumer demand and execute machine‑to‑machine transactions. As merchants lose direct visibility into the customer journey, they become increasingly dependent on acquiring platforms capable of handling tokenisation, real‑time risk assessment, and automated decisioning at scale. Acquirers that evolve into AI‑driven orchestration layers will control the most valuable part of the payments stack, while those that cling to pure processing risk further margin compression.

For banks, the AI shift presents a narrow but critical window to reclaim relevance against fast‑moving PayTechs such as Adyen, Stripe, and Checkout.com, which already dominate the SME segment. By investing in AI‑enabled software, data analytics, and orchestration services, banks can leverage their trusted relationships and extensive infrastructure to offer differentiated, data‑rich products. Conversely, incumbents that postpone digital innovation risk stagnation, as illustrated by recent struggles at Fiserv. The strategic imperative is clear: integrate AI across the acquiring value chain or cede the most lucrative layer of payments to agile, tech‑first competitors.