Press release
Key Trend Reshaping the Artificial Intelligence (AI) In Trade Finance Market in 2025: Advancements In AI For Trade Finance Platforms
Artificial Intelligence AI In Trade Finance
The growing volume of international trade is expected to drive AI adoption in the trade finance market. International trade involves buying and selling goods and services across borders. The increase in trade volume is due to reduced trade barriers and enhanced economic interdependence. AI in trade finance automates document generation, processing, and verification, improving efficiency and reducing errors. For instance, in February 2023, the Bureau of Economic Analysis reported that the US trade deficit reached $948.1 billion in 2022, with exports rising to $3,009.7 billion and imports growing to $3,957.8 billion. Hence, the rising international trade volumes are accelerating AI adoption in trade finance.
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What is the projected compound annual growth rate (CAGR) of the artificial intelligence (ai) in trade finance market from 2025 to 2034, and what factors influence it?
The artificial intelligence (AI) in trade finance market has expanded rapidly in recent years. It is projected to rise from $11.46 billion in 2024 to $13.62 billion in 2025, with a CAGR of 18.8%. The past growth was driven by the increasing need for enhanced risk management, rising demand for process automation, the shift toward digitalization, increasing complexity in global trade, stronger regulatory compliance requirements, and growing concerns about fraud in financial transactions.
The artificial intelligence (AI) in trade finance market is forecasted to experience rapid growth in the coming years. It is projected to reach $26.91 billion by 2029 at a CAGR of 18.6%. This growth will be driven by the increasing demand for automation, enhanced risk management capabilities, greater adoption of digital platforms, a stronger focus on regulatory compliance, the heightened need for fraud detection, and growing investments in high-performance computing infrastructure. Key trends during this period will include AI-blockchain integration, the adoption of AI-powered predictive analytics, AI-driven automation expansion, increased use of machine learning models, and the development of AI-enhanced customer service solutions.
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How are the latest trends influencing the growth of the artificial intelligence (ai) in trade finance market?
In the AI-driven trade finance market, key players are developing automated trade finance platforms to improve operational efficiency and reduce processing times. These platforms simplify and automate trade finance tasks, enhancing the efficiency and security of transactions, documentation, and compliance. For example, in October 2022, HSBC Holdings plc, a UK-based financial services firm, introduced HSBC Trade Solutions (HTS), a digital platform that simplifies and secures trade finance operations by allowing clients to handle all activities online. Designed with a modular, API-based approach, HTS offers an intuitive self-service interface and enhances efficiency through automation, integrating risk management features like anti-money laundering and fraud prevention controls.
What are the major segments of the artificial intelligence (ai) in trade finance market and their role in driving growth?
The artificial intelligence (AI) in trade finance market covered in this report is segmented -
1) By Component: Software, Services
2) By Technology: Machine Learning, Natural Language Processing (NLP), Robotic Process Automation (RPA), Predictive Analytics, Blockchain
3) By Deployment Mode: Cloud, On-Premises
4) By Application: Trade Documentation And Validation, Fraud Detection And Risk Management, Supply Chain Finance, Trade Credit Insurance, Trade Compliance And Monitoring, Other Applications
5) By End-User: Bank, Financial Institutions, Insurance Companies, Other End-Users
Subsegments:
1) By Software: AI-powered Trade Finance Platforms, Risk Assessment and Management Tools, Fraud Detection and Prevention Software, Document Processing and Automation Tools, Payment Processing Solutions
2) By Services: Consulting Services, Implementation and Integration Services, Training and Support Services, Data Analytics and Insights Services, Compliance and Regulatory Advisory Services
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Which regions are key players in the growth of the artificial intelligence (ai) in trade finance market?
North America was the largest region in the artificial intelligence (AI) in trade finance market in 2024. The regions covered in the artificial intelligence (AI) in trade finance market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Who are the key firms paving the way for growth in the artificial intelligence (ai) in trade finance market?
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
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What Is Covered In The Artificial Intelligence (AI) In Trade Finance Global Market Report?
•Market Size Forecast: Examine the artificial intelligence (ai) in trade finance market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) in trade finance market for a structured understanding.
•Key Players Overview: Analyze major players in the artificial intelligence (ai) in trade finance market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) in trade finance market.
•Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) in trade finance market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) in trade finance market.
•Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) in trade finance market.
•Competitive Landscape: Review strategic developments in the artificial intelligence (ai) in trade finance market, including expansions, agreements, and new product launches.
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