Generative Artificial Intelligence (AI) In Banking And Finance Market 2025

Generative Artificial Intelligence (AI) In Banking And Finance Market Size

The global generative artificial intelligence (AI) in banking and finance market reached a value of nearly $1,298.10 million in 2024. The market is expected to grow from $1,298.10 million in 2024 to $5,457.07 million in 2029 at a rate of 33.27%. The market is then expected to grow at a CAGR of 31.64% from 2029 and reach $21,576.12 million in 2034. Growth in the historic period resulted from the increasing focus on data security, increasing cybersecurity threats, growing demand for personalized financial services and increasing utilization of generative AI in fraud detection. Factors that negatively affected growth in the historic period was lack of trust in AI systems. Going forward, the strong economic growth, rapid urbanization, increasing digital transformation, increasing adoption of AI, automation of banking operations and favorable government support will drive the growth. Factor that could hinder the growth of the generative artificial intelligence (AI) in banking and finance market in the future include lack of skilled personnel and technical expertise.

Generative Artificial Intelligence (AI) In Banking And Finance Market Drivers

The key drivers of the generative artificial intelligence (AI) in banking and finance market include: Strong Economic Growth The strong economic growth is expected to propel the growth of the generative artificial intelligence (AI) in banking and finance market during the forecast period. During periods of economic growth, banks and financial institutions benefit from higher profits and increased capital availability. This financial surplus allows them to invest in advanced technologies such as generative AI to enhance services, streamline operations, and strengthen their competitive position. A thriving economy also drives innovation and intensifies competition, prompting institutions to leverage AI for developing new financial products, optimizing robo-advisory services, and deploying intelligent chatbots to improve customer experience and retention. For instance, in December 2023, according to the International Monetary Fund (IMF), a US-based international financial institution working to help reduce poverty, encourage trade and promote financial stability and economic growth, Brazil's gross domestic product (GDP) was projected to reach $2.13 trillion in 2023, an increase of 3.1%, which propelled it up to the ninth-largest economy in the world by 2023. Brazil's economy, predicted to be worth $2.476 trillion, could move up one spot to become the eighth largest in the world by 2026 . Therefore, the strong economic growth will drive the growth of the generative artificial intelligence (AI) in banking and finance market.

Generative Artificial Intelligence (AI) In Banking And Finance Market Restraints

The key restraints on the generative artificial intelligence (AI) in banking and finance market include: Lack Of Skilled Personnel And Technical Expertise The lack of skilled personnel and technical expertise is expected to restrict the growth of generative artificial intelligence (AI) in banking and finance market going forward. Generative AI demands expertise in machine learning, deep learning, natural language processing, and financial data analytics. However, the global shortage of AI and data science professionals makes it challenging for banks to attract and retain top talent. Without these specialized skills, financial institutions face difficulties in building, implementing, and managing AI-driven solutions effectively. For instance, according to Randstand, a Netherlands-based human resource management company, while 75% of companies are adopting AI, only 35% of talent have received AI training in the last year, 71% of AI-skilled workers are men and just 29% women - a 42% point gender gap. Therefore, the lack of skilled personnel and technical expertise are expected to hinder the growth of the generative artificial intelligence (AI) in banking and finance market going forward.

Generative Artificial Intelligence (AI) In Banking And Finance Market Trends

Major trends shaping the generative artificial intelligence (AI) in banking and finance market include: Transforming Financial Documentation with Generative AI Companies operating in the generative artificial intelligence (AI) in banking and finance market are focusing on developing innovative research arms to drive advancements in AI-powered financial solutions. These research divisions aim to enhance fraud detection, risk management, customer service automation, and personalized financial insights using cutting-edge AI models. For instance, in January 2025, Arteria AI , a Canada-based technology company specializing in AI-driven contract lifecycle management solutions for financial institutions launched Arteria Café, to advance generative and agentic AI for financial services documentation. The café will focus on developing Agentic Knowledge Systems, leveraging large language models (LLMs) to enhance complex documentation processes. The goal is to build a system that seamlessly manages both structured and unstructured data, enabling automated report generation, intelligent recommendations, and negotiation support. Innovating Financial Services With Low-Code AI Solutions Leading companies in the generative artificial intelligence (AI) in banking and finance market are leveraging AI-driven platforms to enhance automation, risk management, and customer engagement. These platforms optimize operations, enable data-driven decision-making, and deliver highly personalized financial services with greater efficiency and precision. For instance, in October 2024, Infosys Limited, an India-based technology services and consulting company launched the Finacle Data and AI Suite. The suite provides a robust platform for banks to develop low-code, predictive, and generative AI solutions with enhanced transparency and explainability. It enables banks to scale data readiness, streamline AI model development, leverage generative AI technologies, and deliver actionable insights across their ecosystem. The suite comprises the Finacle Data Platform, the Banking Industry Architecture Network, and the Finacle AI Platform.

Opportunities And Recommendations In The Generative Artificial Intelligence (AI) In Banking And Finance Market

Opportunities – The top opportunities in the generative artificial intelligence (AI) in banking and finance markets segmented by technology will arise in the natural language processing segment, which will gain $2,023.71 million of global annual sales by 2029. The top opportunities in the generative artificial intelligence (AI) in banking and finance markets segmented by deployment model will arise in the cloud-based segment, which will gain $3,794.99 million of global annual sales by 2029. The top opportunities in the generative artificial intelligence (AI) in banking and finance markets segmented by application will arise in the fraud detection segment, which will gain $993.02 million of global annual sales by 2029. The top opportunities in the generative artificial intelligence (AI) in banking and finance markets segmented by end-user will arise in the banks segment, which will gain $2,137.53 million of global annual sales by 2029. The generative artificial intelligence (AI) in banking and finance market size will gain the most in the USA at $1,654.27 million. Recommendations- To take advantage of the opportunities, The Business Research Company recommends the generative artificial intelligence (AI) in banking and finance companies to focus on leveraging AI for enhanced financial services, focus on implementing AI-driven solutions for operational efficiency, focus on developing responsible and compliant AI solutions, focus on natural language processing to accelerate market growth, focus on cloud-based deployment to maximize growth potential, expand in emerging markets, focus on strategic partnerships to accelerate AI innovation, focus on competitive and value-based pricing strategies, focus on demonstrating value through targeted education, focus on building trust through strategic partnerships, focus on fintech companies to drive high-growth adoption and focus on trading and portfolio management to capture high-growth opportunities.