What are the recent trends in market size and growth for the artificial intelligence (ai) in trade finance market?
The artificial intelligence (AI) in trade finance market size has grown rapidly in recent years. It will grow from $11.46 $ billion in 2024 to $13.62 $ billion in 2025 at a compound annual growth rate (CAGR) of 18.8%. The growth in the historic period can be attributed to rise in the need for enhanced risk management, rise in demand for process automation, shift towards digitalization, rise in global trade complexity, increase in push for regulatory compliance, and increase in threat of fraud in financial transactions.
The artificial intelligence (AI) in trade finance market size is expected to see rapid growth in the next few years. It will grow to $26.91 $ billion in 2029 at a compound annual growth rate (CAGR) of 18.6%. The growth in the forecast period can be attributed to increasing demand for automation, enhanced risk management capabilities, rising adoption of digital platforms, growing focus on regulatory compliance, heightened need for fraud detection, and increasing investment in high-performance computing infrastructure. Major trends in the forecast period include integration of AI with blockchain, adoption of AI-driven predictive analytics, expansion of AI-powered automation, enhanced use of machine learning models, and development of AI-enhanced customer service platforms.
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How have varous drivers impacted the growth of the artificial intelligence (ai) in trade finance market?
The rising volumes of international trade are expected to propel the growth of artificial intelligence (AI) in trade finance market going forward. International trade refers to the buying and selling of goods and services across national borders. The rising volume of international trade is due to reduced trade barriers and increased economic interdependence among countries. AI in trade finance tools automates document generation, processing, and verification, reducing manual errors and accelerating transaction times. For instance, in February 2023, according to the Bureau of Economic Analysis, a US-based government agency, in 2022, the goods and services deficit reached $948.1 billion, marking a $103.0 billion increase from the $845.0 billion deficit in 2021. Additionally, Exports rose to $3,009.7 billion, an increase of $453.1 billion compared to 2021. Imports also grew, totaling $3,957.8 billion, up by $556.1 billion from 2021. Therefore, the rising volumes of international trade drive artificial intelligence (AI) in trade finance market.
What are the primary segments of the artificial intelligence (ai) in trade finance market?
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 firms are leading 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
How will industry trends affect the trajectory of the artificial intelligence (ai) in trade finance market?
Major companies operating in the artificial intelligence (AI) in trade finance market are developing automated platforms for trade finance to enhance operational efficiency and reduce processing times. Automated trade finance platforms are digital solutions that use advanced technologies to simplify and automate trade finance tasks, improving efficiency and security in handling transactions, documentation, and compliance. For instance, in October 2022, HSBC Holdings plc, a UK-based financial services company, launched HSBC Trade Solutions (HTS). The HSBC HTS is an advanced digital platform that makes trade finance easier, faster, and more secure by allowing clients to handle all trade finance activities online. Its modular, application programming interface (API)-based design supports HSBC’s trade services and offers an intuitive, self-service interface. HSBC Trade Solutions enhances efficiency with automation and integrates robust risk management features, including anti-money laundering and fraud controls.
Which geographic trends are shaping the artificial intelligence (ai) in trade finance market, and which region has the highest market share?
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.
What Does The Artificial Intelligence (AI) In Trade Finance Market Report 2025 Offer?
The artificial intelligence (ai) in trade finance market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Artificial Intelligence (AI) in trade finance refers to the use of advanced algorithms and machine learning to automate and improve the financial processes that support international trade. AI in trade finance helps by detecting fraud, automating document processing, assessing risk, predicting trends, simplifying compliance, optimizing supply chains, improving customer service, automating routine tasks, and providing market insights.
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