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Global Artificial Intelligence Courses in BFSI Sector 2017-2021

  • Published: Oct 2017
  • Pages: 70
  • SKU: IRTNTR15044
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This industry research report identifies Hong Kong Securities and Investment Institute, EDUCBA, IBM, and futuretext as the key vendors in the global artificial intelligence courses in BFSI sector. This industry research report also presents a comprehensive analysis of the market by learning method (blended learning and online learning) and by geography (APAC, Europe, North America, and ROW).

Global AI courses in BFSI sector market forecast

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.

Competitive landscape and key vendors

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 -

  • Hong Kong Securities and Investment Institute
  • EDUCBA
  • IBM
  • futuretext

The other prominent vendors in the market are Ivy Data Science, CFTE, Infosys, and Byte Academy.

Segmentation by learning method and analysis of the artificial intelligence courses in BFSI sector

  • Blended learning
  • Online learning

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.

Segmentation by learning method and analysis of the artificial intelligence courses in BFSI sector

  • APAC
  • Europe
  • North America
  • ROW

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.

Key questions answered in the report include

  • What will the market size and the growth rate be in 2021?
  • What are the key factors driving the global artificial intelligence courses in BFSI sector?
  • What are the key market trends impacting the growth of the global artificial intelligence courses in BFSI sector?
  • What are the challenges to market growth?
  • Who are the key vendors in the global artificial intelligence courses in BFSI sector?
  • What are the market opportunities and threats faced by the vendors in the global artificial intelligence courses in BFSI sector?
  • Trending factors influencing the market shares of APAC, Europe, North America, and ROW.
  • What are the key outcomes of the five forces analysis of the global artificial intelligence courses in BFSI sector? 

Technavio also offers customization on reports based on specific client requirement.

 

PART 01: Executive summary

PART 02: Scope of the report

PART 03: Research Methodology

PART 04: Introduction

  • Global corporate training market

PART 05: Market outline

  • AI courses market: Overview

PART 06: Market landscape

PART 07: Market overview

  • Global AI courses in BFSI sector
  • Five forces analysis

PART 08: Market segmentation by learning method

  • Global AI courses in BFSI sector by learning method segmentation
  • Global AI courses in BFSI sector by blended learning
  • Global AI courses in BFSI sector by online learning

PART 09: Geographical segmentation

  • Global AI courses in BFSI sector by geographical segmentation
  • AI courses in BFSI sector in North America
  • AI courses in BFSI sector in Europe
  • AI courses in BFSI sector in APAC
  • AI courses in BFSI sector in ROW

PART 10: Decision framework

PART 11: Drivers and challenges

  • Market drivers
  • Market challenges

PART 12: Market trends

  • Emerging cybersecurity professional training
  • Increase in adoption of self-paced and mobile learning
  • Rising use of Big Data
  • Rising partnerships with fintech-supporting organizations
  • Curated learning

PART 13: Vendor Landscape

  • Competitive scenario

PART 14: Key vendor analysis

  • Hong Kong Securities and Investment Institute
  • EDUCBA
  • IBM
  • futuretext

PART 15: Vendor landscape

  • Other prominent vendors

PART 16: Appendix

  • List of abbreviations

Research Framework

Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.

TechnavioINFORMATION SOURCES

Primary sources

  • Manufacturers and suppliers
  • Channel partners
  • Industry experts
  • Strategic decision makers

Secondary sources

  • Industry journals and periodicals
  • Government data
  • Financial reports of key industry players
  • Historical data
  • Press releases
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TechnavioDATA ANALYSIS

Data Synthesis

  • Collation of data
  • Estimation of key figures
  • Analysis of derived insights

Data Validation

  • Triangulation with data models
  • Reference against proprietary databases
  • Corroboration with industry experts
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TechnavioREPORT WRITING

Qualitative

  • Market drivers
  • Market challenges
  • Market trends
  • Five forces analysis

Quantitative

  • Market size and forecast
  • Market segmentation
  • Geographical insights
  • Competitive landscape
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