Artificial Intelligence (AI) in Trade Finance Market Report 2026

The artificial intelligence (ai) in trade finance market size has grown rapidly in recent years. It will grow from $13.62 billion in 2025 to $16.18 billion in 2026 at a compound annual growth rate (CAGR) of 18.8%. The growth in the historic period can be attributed to increasing volume of global trade transactions, complexity of trade finance documentation, rising fraud risks in cross-border trade, early digitization of trade finance processes, increased regulatory scrutiny.

The artificial intelligence (ai) in trade finance market size is expected to see rapid growth in the next few years. It will grow to $31.86 billion in 2030 at a compound annual growth rate (CAGR) of 18.5%. The growth in the forecast period can be attributed to increasing adoption of end-to-end digital trade finance platforms, rising demand for real-time trade risk monitoring, expansion of ai-driven supply chain finance solutions, growing integration of blockchain for transparency, increased focus on automated compliance systems. Major trends in the forecast period include increasing automation of trade documentation processing, rising use of ai-based fraud detection systems, growing adoption of predictive risk analytics, expansion of ai-enabled compliance monitoring, enhanced integration of blockchain and ai.

The rising volume of international trade is expected to support the growth of the artificial intelligence (AI) in trade finance market in the coming years. International trade involves the exchange of goods and services across national borders. The increase in global trade volumes is driven by the reduction of trade barriers and growing economic interdependence among countries. AI-based trade finance solutions automate document creation, processing, and verification, helping reduce manual errors and shorten transaction timelines. For example, in October 2025, according to the United Nations Conference on Trade and Development (UNCTAD), a Switzerland-based intergovernmental organization focused on promoting global trade, the value of world merchandise exports increased by 2.4% in 2024, reaching $24.5 trillion after declining in 2023. Global exports are projected to reach a new high of $26.2 trillion in 2025. Therefore, the growing volume of international trade is driving the expansion of the artificial intelligence (AI) in trade finance market.

Organizations operating in the artificial intelligence (AI) in trade finance market are increasingly developing innovative solutions, including AI-powered assistants and intelligent automation tools integrated into trade finance platforms, to address the rising need for improved operational efficiency, faster processing, stronger compliance, and enhanced risk management. AI-powered assistants are software tools that use artificial intelligence technologies such as machine learning and natural language processing (NLP) to automate tasks, provide guidance, and support real-time decision-making. For instance, in February 2025, Finastra Group Ltd., a UK-based financial technology provider, launched Assist.AI for its Trade Innovation platform. Built on Microsoft Azure OpenAI Service, the solution is designed to deliver instant, accurate, and context-aware support for trade finance operations while helping bridge the growing knowledge gap between experienced professionals and new entrants. Assist.AI allows users to ask specific questions related to trade finance activities such as letters of credit, discrepancies, or mixed payments and receive precise, real-time responses without manually searching extensive documentation. Key features include round-the-clock availability, continuous learning based on user interactions, and automated handling of routine queries, enabling bank staff to focus on strategic and complex transactions, resulting in faster onboarding, improved accuracy, and reduced operational friction compared to traditional workflows.

In November 2025, United Fintech Limited, an Australia-based financial technology company, acquired Trade Ledger for an undisclosed amount. Through this acquisition, United Fintech aims to accelerate its AI-powered commercial banking and trade finance capabilities by integrating Trade Ledger’s advanced AI-driven lending automation platform. This move is intended to strengthen intelligent digital infrastructure across lending, payments, and trade finance services. Trade Ledger Limited is an Australia-based fintech company that provides an AI-enabled commercial lending and data automation platform designed to streamline loan origination, underwriting, and portfolio management for banks and financial institutions.

Major companies operating in the artificial intelligence (ai) in trade finance market are HSBC Holdings plc, Accenture plc, International Business Machines Corporation, BNP Paribas SA, Oracle Corporation, SAP SE, Infosys Limited, Genpact LLC, Asseco Poland SA, Finastra Group Holdings Limited, Pegasystems Inc., Temenos AG, Appian Corporation, Tungsten Automation Corporation, ABBYY Solutions Ltd., Tradeshift Holdings Inc., Nucleus Software Exports Limited, Demica, Rossum, Cleareye.ai, Tradeteq Limited, Previse Ltd, Newgen Software Technologies Limited, Traydstream, TradeSun Inc.

North America was the largest region in the artificial intelligence (AI) in trade finance market in 2025. The regions covered in the artificial intelligence (ai) in trade finance market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (ai) in trade finance market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) in trade finance market includes revenues earned by providing services such as automated document processing, risk assessment and management, fraud detection and prevention, and supply chain optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in trade finance market also includes sales of hardware security modules (HSMs) and encryption devices. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

This product will be delivered within 1-3 business days.