Global Artificial Intelligence (AI) Market in BFSI Sector 2019-2023

SKU ID : TNV- 13783005

Publishing Date : 02-Aug-2019

No. of pages : 127

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  • Global Artificial Intelligence (AI) Market in BFSI Sector: About this market

    Artificial intelligence (AI) solutions for the banking, financial service and insurance (BFSI) sector include AI software and hardware that has AI chipsets, servers, and storage. artificial intelligence market in the BFSI sector analysis considers sales to the banking, investment and securities management, and insurance segments. Our analysis also considers the sales of AI solutions for the BFSI market in APAC, Europe, MEA, North America, and South America. In 2018, the banking segment held the highest market share, which is expected to remain prevalent over the forecast period. Factors such as the rising need by banking enterprises to combat cyberattacks autonomously and offer enhanced digital customer experience and the emergence of fintech players will significantly help the market segment in maintaining its leading position. Also, our report on global artificial intelligence market in BFSI sector has observed market growth factors such as enhanced operational efficiency with AI, push toward autonomous banking, and rise in demand for fraud detection and compliance. However, need for high data quality, lack of skilled labor, and concerns about cybersecurity may hamper the growth of the artificial intelligence industry in the BFSI sector over the forecast period.

    Global Artificial Intelligence (AI) Market in BFSI Sector: Overview

    Push toward autonomous banking

    BFSI organizations have started integrating AI and Big Data analytics into their IT systems not only to enhance data security but also to automate data cleaning and organizing and data analysis. These features will improve revenue generation for banking enterprises. As a result, banking enterprises are gradually transforming their solutions into AI-driven, which will lead to the expansion of the artificial intelligence market in BFSI Sector at a CAGR over 32% during the forecast period.

    Growing focus on providing personalized experience to customers

    The BFSI sector is focusing on customizing services and improving digital experience for its customers by deploying AI in the form of chatbots, predictive analysis, recommendation engines, and others. Demand secure and automated banking solutions is also rising from the customers, prompting BFSI enterprises to further opt for AI solutions. Therefore, this trend will have a positive impact on the overall market growth.

    For the detailed list of factors that will drive the global artificial intelligence (AI) market in BFSI sector during the forecast period 2019-2023, click here.

    Competitive Landscape

    With the presence of a few major players, the global artificial intelligence market in BFSI sector is moderately concentrated. robust vendor analysis is designed to help clients in improving their market positions, and in line with this, this report provides a detailed analysis of several leading AI solutions manufacturers, which include Amazon Web Services Inc., Google LLC, IBM Corp., Microsoft Corp., and Oracle Corp.

    Also, the artificial intelligence market in BFSI sector analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage on all forthcoming growth opportunities.

    Frequently Asked Questions



    This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.

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    The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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