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Home » The Role of Generative AI in Banking
AI in Finance

The Role of Generative AI in Banking

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Generative Artificial Intelligence in Banking and Finance: Growth and Opportunities to 2034

Dublin, June 03, 2025 (Globe Newswire) – A new report titled “Generative Artificial Intelligence (AI) in Banking and Finance: Opportunities and Strategies to 2034” has been released by Researchandmarkets.com. This report highlights the impressive potential of AI in transforming banking and finance sectors up to the year 2034.

Market Growth Forecast

The global market for generative artificial intelligence in banking and finance is projected to surge from $1.29 billion in 2024 to an astounding $21.57 billion by 2034, achieving a compound annual growth rate (CAGR) of 31.64%. This surge is fueled by escalating demand for improved data security, personalized financial services, and advanced fraud detection technologies.

Driving Factors Behind Growth

Despite existing skepticism regarding AI systems, forecasts indicate that growth will be driven by economic expansion, urbanization, digital transformation, and government initiatives. However, the industry faces hurdles, notably a shortage of qualified AI professionals and lack of technical expertise.

Market Competition and Distribution

The competitive landscape is fragmented, with the top ten players accounting for only 16.45% of the overall market share in 2023. Currently, Microsoft Corporation leads the pack with a 2.10% market share, closely followed by Google LLC and IBM. North America is dominating with a market share of 52.10% in 2024, while South America and Africa are expected to exhibit the fastest growth rates, with CAGRs of 49.47% and 49.05%, respectively.

Technological Trends and Applications

Within the sector, natural language processing represents a significant segment, encompassing 36.89% of the market in 2024, with a projected CAGR of 39.20%. Cloud-based solutions currently dominate deployment models, accounting for 72.29% and expecting a CAGR of 38.22%. Fraud detection leads in demand at 31.72%, while trading and portfolio management are anticipated to grow rapidly, with a projected CAGR of 46.32%.

End User Analysis

Banks constitute 48.31% of the total end-user segment, but Fintech companies are expected to drive future growth with a remarkable CAGR of 40.25%. As the generative AI landscape matures, significant opportunities are emerging across various technological fields, deployment methods, and application areas.

Strategic Recommendations

Analysts advise companies engaged in generative AI to concentrate on competitive pricing strategies, targeted consumer education, and strategic partnerships. Collaborations within the Fintech ecosystem, particularly in trading and portfolio management, are essential for unlocking substantial growth potential. As AI continues to reshape the financial services landscape, embracing innovation is key for staying ahead of the competition.

Conclusion

The integration of generative AI into banking and finance is poised to revolutionize the industry. With continuous advancements in technology and a focus on strategic growth, stakeholders can harness the potential of AI to enhance services, achieve operational efficiency, and respond to emerging market trends effectively.

More Information

To learn more about the insights and forecasts in this report, visit Researchandmarkets.com.

Featured Companies in Generative AI

  • Microsoft Corporation
  • Google LLC
  • IBM
  • Amazon.com Inc.
  • Oracle Corporation
  • Accenture PLC
  • Goldman Sachs Group Inc.
  • SAP SE
  • Wells Fargo & Co.
  • Teradata Corp.

About Researchandmarkets.com

Researchandmarkets.com is the world’s leading source of international market research reports and market data, delivering the latest insights on global and regional markets, key industries, leading companies, new products, and prevailing trends.

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CEOs Promote Blockchain and AI for Financial Inclusion at the Tanzania Fintech Festival 2025 – Bitke

June 17, 2025

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June 17, 2025

The ramp raises the $200 million series to a $16 billion valuation as businesses of all sizes opt for an AI-driven financing platform.

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