Global Machine Learning in Banking Market 2025-2029

Machine Learning In Banking Market 2025-2029

The machine learning in banking market is forecasted to grow by USD 18894.6 mn during 2024-2029, accelerating at a CAGR of 27.1% during the forecast period. The report on the machine learning in banking market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by escalating imperative for advanced security and fraud mitigation, dual pursuit of operational efficiency and hyper-personalized customer experiences, and proliferation and accessibility of advanced artificial intelligence technologies.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's machine learning in banking market is segmented as below:

By Component

• Software
• Services
• Hardware

By Application

• Fraud detection
• Risk management
• Customer service
• Predictive analytics
• Personalized banking

By Deployment

• Cloud based
• On premise
• Hybrid

By End-user

• Retail banking
• Investment banking
• Insurance
• Wealth management

By Geographical Landscape

• North America
• APAC
• Europe
• South America
• Middle East and Africa

This study identifies the proliferation and integration of generative artificial intelligence as one of the prime reasons driving the machine learning in banking market growth during the next few years. Also, ascendancy of explainable ai and responsible ai governance and strategic shift towards human- augmented intelligence collaboration will lead to sizable demand in the market.

The report on the machine learning in banking market covers the following areas:

• Machine Learning In Banking Market sizing
• Machine Learning In Banking Market forecast
• Machine Learning In Banking Market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading machine learning in banking market vendors that include Accenture PLC, Amazon Web Services Inc., Capgemini Service SAS, DICEUS., Experian Plc, Google LLC, HCL Technologies Ltd., Infosys Ltd., International Business Machines Corp., Intrasoft Technologies, Microsoft Corp., NVIDIA Corp., Oracle Corp., Salesforce Inc., SAP SE, Streebo Inc., Tata Consultancy Services Ltd., Wipro Ltd., and Zoho Corp. Pvt. Ltd.. Also, the machine learning in banking market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth. Show more