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Research analysis on the global artificial intelligence (AI) courses in BFSI sector identifies that the increasing usage of AI technology for cost reduction and quality research will be one of the major factors that will have a positive impact on the market’s growth prospects. Machine learning with AI is expected to become an important aspect in investment banking and asset management segments. This will, in turn, create a significant demand for financial quantamental analysts for effective operations with AI. The prominent fintech sectors, such as property management companies, are also implementing AI and machine learning in their business processes to reduce operating costs and improvise on their returns. This will subsequently demand the need for AI courses fueling market growth. According to the AI courses in BFSI sector market analysis, Technavio’s market research analysts predict that this market will grow at a CAGR of almost 38% by 2021.
The emergence of cybersecurity professional training will be one of the latest trends that will gain traction in the artificial intelligence courses in BFSI sector during the next four years. With the increasing risks, fintech firms are constantly focusing on having automated cyber security solutions for the banking and investment sectors. Since the adoption of AI and machine learning will improve vigilance cycles in the cybersecurity domain to identify cyber risks, the coming years will witness an increase in their implementation. This will consequently drive the need for AI courses and will propel the AI courses in BFSI sector market value.
The market has the presence of a considerable number of vendors and appears to be moderately fragmented. The vendors in the market are competing based on factors such as course aspects, the mode of course delivery, content, live projects, duration of course, and price. The availability of free courses poses a major challenge to the players in this AI courses market and they are concentrating on providing customers with the option to attend courses from their homes and workplaces.
The leading vendors in the market are -
The other prominent vendors in the market are Ivy Data Science, CFTE, Infosys, and Byte Academy.
In 2016, the blended learning segment accounted for the major shares of this market. The type of learning approach combines classroom training with digital sources of information including e-books. Blended learning enables the effective utilization of time and enables enhances the learning experience for both teachers and participants. According to our industry research report, this segment will continue to account for the maximum market shares during the next four years as well.
This market study estimates that in terms of geographic regions, North America was the major revenue contributor to this AI courses market during 2016. Innovations and automation in the field of financial services, robotics, natural language processing, and chatbots are significantly fueling the need for AI learnings with fintech services. Moreover, the rising investments and fund allocations by organizations for financial technology research and development also fuel the need for AI courses.
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PART 01: Executive summary
PART 02: Scope of the report
PART 03: Research Methodology
PART 04: Introduction
PART 05: Market outline
PART 06: Market landscape
PART 07: Market overview
PART 08: Market segmentation by learning method
PART 09: Geographical segmentation
PART 10: Decision framework
PART 11: Drivers and challenges
PART 12: Market trends
PART 13: Vendor Landscape
PART 14: Key vendor analysis
PART 15: Vendor landscape
PART 16: Appendix
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