Artificial Intelligence and Cognitive Systems in BFSI to Reach $21.89 Billion by 2022
Rising demand for data-driven solutions, increasing digital banking trends, fast-changing regulatory & compliance laws, fraud detection, and enhancing customer experience are expected to drive the market growth. The AI technologies such as Machine Learning, Deep Learning, Natural Language Processing, Image and video processing are expected to boost the AI implementation in the BFSI industry.
Bangalore, India, May 22, 2017 (Newswire.com) - According to Infoholic Research, AI and Cognitive Systems technologies have a wide range of benefits in the BFSI industry. The technologies help in bringing a higher level of automation in the industries and benefit companies by strengthening their business strategies, customer relationships, new customer group recognition, fraud prevention, dealing with risk & compliance laws, etc. The changing dynamics of banking, insurance, and financial industries in terms of technology adoption is fueling the innovations. The market is expected to grow at a CAGR of 45.9% during the forecast period 2016–2022.
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"Global BFSI industry is witnessing rapid changes in terms of technology adoption, strategies, and business operations due to the fast-changing regulatory ecosystem after the 2008 crisis. BFSI industry has found an immense potential in AI technologies, which fuels their strategic operations, customer relationship, fraud prevention, virtual agents, and others. Also, these technologies improve the profitability of companies in the BFSI industry through automation."
Srujan, Research Analyst at Infoholic Research
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The AI and Cognitive technologies market is segmented into two deployment types, namely on-premises and cloud. Most of the AI technologies are delivered on the on-premises mode, owing to their technical, processing, and security advantages over cloud-based platforms, whose penetration is more among the small and medium-sized enterprises, and this trend is expected to increase, owing to the cost-effectiveness and versatility. Currently, the on-premises segment is dominating the market with a share of 82.0%, which is expected to lose its share to cloud-based platforms by 2022.
Most of the technology providers operating in the market have services based on machine learning, deep learning, image and video processing, natural language processing, and others. Machine learning and deep learning are popular for pattern recognition in financial services & insurance; natural language processing is popular as virtual customer agents; image and video processing is widely used for cheques & document processing, knowledge management, advisory, and several other aspects.
The Americas is the leading region in terms of receiving AI services, followed by Europe and APAC. The Americas is known for its hundreds of AI technology developers who are driving the global artificial intelligence ecosystem. In APAC, China, Japan, India, South Korea, and Singapore are expected to support the market growth.
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Insurance and financial services are the primary receivers of these technologies, and the banking industry would record a lower adoption rate owing to the technological difficulties; however, the banking industry represents the higher market share due to the wider uses of AI technologies and increasing usage from the existing customers through the forecast period. The banking industry market share is expected to reach $46.22% by 2022.
“Global BFSI industry is witnessing rapid changes in terms of technology adoption, strategies, and business operations due to the fast-changing regulatory ecosystem after the 2008 crisis. BFSI industry has found an immense potential in AI technologies, which fuels their strategic operations, customer relationship, fraud prevention, virtual agents, and others. Also, these technologies improve the profitability of companies in the BFSI industry through automation,” said Srujan, Research Analyst at Infoholic Research.
The report covers the present scenario and the growth prospects of the Cognitive Systems and Artificial Intelligence Technologies Market in the BFSI Industry during the forecast period 2016–2022. The report provides an in-depth analysis and forecast about the industry covering the following key features:
a) The report is analyzed based on Deployment Types, Technology, Verticals, and Regions.
b) The report covers the evolution of AI and Cognitive Systems technologies in BFSI industry, its features, advantages, and importance.
c) The report covers drivers, restraints, and opportunities (DRO) affecting the market growth over the forecast years (2016–2022).
d) The report contains analysis of vendor profiles, which include financial health, business units, key business priorities, SWOT, strategy, and views; and competitive landscape, which includes vendor assessment.
e) The report covers the implementation of Artificial Intelligence and Cognitive Systems in BFSI Industry namely, Banking, Financial Services and Insurance.
f) The report covers the adoption of Artificial Intelligence and Cognitive Systems in the Americas, Europe, Asia Pacific, and MEA.
Source: https://www.infoholicresearch.com/artificial-intelligence-and-co