Artificial Intelligence in BFSI Industry Forecast

Artificial Intelligence in BFSI Market Set to Register 30% CAGR During 2018-2024

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The newly released research at Market Study Report titled “2018-2024 Global Artificial Intelligence in BFSI Market Report” provides data, information, brief analysis, company profiles, statistics for past years and forecasts for next few years.

AI in BFSI Market is projected to exceed USD 25 billion by 2024. The market is driven by the growing requirement among the financial institutes to improve customer experience, gain customer loyalty along with the high intensity of competition among the market players. As the competition among the market players is rising and the customers are becoming more empowered, financial institutes are looking for cutting-edge technologies to provide a better experience and retain customers.

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Furthermore, an increase in the digital data and investments by the venture capitalists in AI and fintech market space are major forces driving the market growth. In addition, the rising partnership between financial institutes and fintech companies to integrate technology into the core financial services will also foster the growth.

The solution segment is leading the AI in BFSI market with more than 85% stake in the revenue in 2017. Wealth management institutes, banks, and insurance companies are adopting AI solutions to analyze the customer behavior and fulfill their requirements and provide a personalized experience. The solution market includes chatbots, CRM, customer behavior analytics, data analytics and visualization, and fraud detection solutions. CRM is dominating the market with more than 40% share due to the high adoption among the financial institutes in the customer contact centers and business operations.

The service market is anticipated to grow prominently during the forecast timeline with an approximate CAGR of 38%. The market is driven by the demand for professional and managed services to reduce the operational expenditure. Moreover, companies are now trying to focus more on core competencies to improve their market penetration.

Machine learning technology accounts for approximately 40% share in the AI in BFSI market. The integration of the intelligent algorithms for risk mitigation and compliance, anti-money laundering, and fraud detection applications is the primary factor that augments the demand for the technology. Natural Language Processing (NLP) is also used widely in the BFSI sector in the customer contact center to analyze the customers voice and solve their queries. Financial institutions are also utilizing NLP for back-office applications & operations and text-mining.

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Banks cover more than 50% of the AI in BFSI market. The banks are teaming up with the fintech companies to develop advanced products and improve the customer services. They are relying more on machine learning algorithms for the risk management and fraud detection. Furthermore, the adoption of the digital banking solutions and supportive government initiatives launched by the government to promote the digital banking also fosters the market growth.

North America accounted for more than 50% of the share in AI in BFSI market in 2017. The high investments in the AI and fintech sector by the technology giants are the major factors pushing the market growth. Furthermore, the early adoption of the technology and highly developed infrastructure are supporting the market growth. Asia Pacific is anticipated to grow substantially with more than 40% CAGR. The market growth is credited to the high investments by China and India in the AI technology.

The AI in BFSI market is characterized by the presence of a large number of AI and fintech companies. Several new players are entering the market to take the advantage of the myriad growth opportunities offered by the market. The prominent players of the AI solutions in the BFSI sector are Salesforce, Google, IBM, Microsoft, Amazon, SAP, Oracle, Baidu, Digital Reasoning, Intel, Ipsoft, and Palantir.

Table of Contents

Chapter 1    Methodology & Scope

Chapter 2    Executive Summary

Chapter 3.   AI in BFSI Industry Insights

Chapter 4.   Competitive Landscape

Chapter 5.   AI in BFSI Market, By Component

Chapter 6.   AI in BFSI Market, By Technology

Chapter 7.   AI in BFSI Market, By Application

Chapter 8.   AI in BFSI Market, By End-Use

Chapter 9.   AI in BFSI Market, By Region

Chapter 10. Company Profiles

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