The AI In Banking Market is being driven by Imperative for enhanced operational efficiency and cost reduction
The AI In Banking Market is expected to grow at a CAGR of 27.7% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 77085.7 million. The global AI in banking market is experiencing a significant shift with the increasing adoption of generative artificial intelligence (AI), driven by advanced large language models (LLMs). Generative AI goes beyond the conventional predictive and analytical capabilities of AI, enabling the creation of original content, synthesis of complex data, and sophisticated human-like dialogue. This technological advancement offers financial institutions the opportunity to innovate, with applications ranging from internal productivity tools to customer personalization. Examples include the generation of marketing copy, summarization of research reports, creation of custom code, and the deployment of hyper-realistic conversational agents. Financial institutions are actively exploring and implementing this technology to enhance employee efficiency and deliver unparalleled customer experiences.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
260 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 27.7% |
Market growth 2025-2029 |
USD 77085.7 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
23.8 |
Key countries |
US, China, Germany, India, UK, Japan, Brazil, Canada, France, and South Korea |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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AI is revolutionizing the banking industry with its applications in lending, offering AI-driven customer experiences through chatbots, predictive modeling, and natural language understanding. Algorithmic trading, blockchain applications, and cybersecurity solutions are enhancing operational efficiency, security, and regulatory compliance. Personalized banking services, financial inclusion initiatives, and investment portfolio optimization are being optimized through data-driven insights. Transactions are processed faster with AI, and customer behavior analysis leads to improved decision making and enhanced customer loyalty. Digital transformation initiatives, cost reduction strategies, and regulatory reporting automation are other benefits of AI in banking. Enhanced security measures and data privacy regulations are addressed through data governance frameworks.
In the vast IT software industry, the application software segment holds significant importance, encompassing firms that create specialized software for businesses and consumers. This sector comprises enterprise and technical software, as well as cloud-based solutions. Notably, machine learning models, fraud detection systems, and risk assessment algorithms are pivotal components within the banking industry's application software domain. Technavio's market analysis calculates the global application software market size based on the consolidated revenue generated by these firms, including those offering cloud-based software solutions.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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