AI in Banking Market Demand, Business Scenario, Share, Applications, Types and Forecasts 2020 – 2027

 

 

The global artificial intelligence (AI) in Banking market is expected to reach a market size of USD 130.00 Billion by 2027 and register a high revenue CAGR, according to latest analysis by Emergen Research. A key driving factor includes growing demand for advanced tools to enhance customer experience in the banking sector. Increasing demand for solutions to simplify banking operations is expected to further fuel growth of the global artificial intelligence (AI) market growth during the forecast period. Rising capital venture investment in artificial intelligence (AI) companies is also expected to propel global AI in banking market growth.

The high cost of artificial intelligence-driven solutions is expected to hamper growth of the global artificial intelligence (AI) in banking market to a certain extent during the forecast period.

AI in Banking market that offers key insights about the regional and global scope of the AI in Banking market. It offers key details about the recent product launches, technological advancements, supply and demand ratio, and regulatory framework. The report also offers details about market size, market share, revenue growth, and CAGR during the forecast period of 2021-2028. The report also offers key insights about top companies in the market along with a thorough SWOT analysis, Porter’s Five Forces analysis, and feasibility analysis to offer competitive edge to the readers. The report focuses on the recent trends, major challenges and opportunities, and limitations pertaining to the ongoing pandemic.

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Key Highlights of Report

§  Due to increasing implementation of AI-driven applications in the banks, including customer relationship management (CRM), data analytics & visualization, and chatbot to enhance customer experience and back-office activities, the software segment is projected to register a significant revenue CAGR of 43.1% during the forecast period.

§  In terms of market share, the deep learning & machine learning segment is expected to lead among the other technology segments in the global AI in the banking market during the forecast period due to growing adoption of deep learning & machine learning approach for risk assessment in banks.

§  Increasing need to optimize customer engagement by introducing AI-driven virtual assistance and provide 24/7 customer services and answer customer queries and grievances is expected to contribute to revenue growth of the customer service segment in the global AI in the banking market during the forecast period.

§  Due to growing need to offer improved customer service in the banking industry, the Chatbot segment is projected to lead in terms of revenue share in the global AI in the banking market during the forecast period.

The research report offers details about leading companies in the global AI in Banking market along with global position, financial standing, license agreement, products and services portfolio and revenue contribution of each market player. Key players in the market are focusing on adopting various strategies such as mergers and acquisition, business expansion plans, new product launches, partnerships, collaborations, joint ventures to enhance their product base and gain robust footing in the market.

The report also discusses the key players involved in the market such as Amazon Web Services Inc., Microsoft Corporation, Google LLC, Intel Corporation, Oracle Corporation, Salesforce.com, Inc., SAP SE, Baidu, Inc., Comply Advantage Ltd, and Interactions LLC.

The report further segments the global AI in Banking market on the basis of product types and applications and provides insights into key factors influencing the revenue growth of the segments.

Emergen Research has segmented the global AI in banking market on the basis of component, technology, application, solution, and region.

§  Component Outlook (Revenue, USD Billion; 2020–2027)

§  Service

§  Hardware

§  Software

§  Technology Outlook (Revenue, USD Billion; 2020–2027)

§  Natural Language Processing

§  Deep Learning & Machine Learning

§  Computer Vision

§  Others

§  Application Outlook (Revenue, USD Billion; 2020–2027)

§  Customer Service

§  Back Office

§  Financial Advisory

§  Compliance & Security

§  Risk Management

§  Others

§  Solution Outlook (Revenue, USD Billion; 2020–2027)

§  Customer Behavior Analytics

§  Data Analytics & Visualization

§  Fraud Detection

§  Customer Relationship Management

§  Chatbot

§  Others

The report focuses on current and future market growth, technological advancements, volume, raw materials, and profiles of the key companies involved in the market. The report provides valuable insights to the stakeholders, investors, product managers, marketing executives, and other industry professionals.

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AI in Banking Market Segmentation based on Regions:

§  North America (U.S., Canada, Mexico)

§  Europe (Germany, U.K., France, Italy, Spain, Benelux, Rest of Europe)

§  Asia Pacific (China, India, Japan, South Korea, Rest of Asia Pacific)

§  Latin America (Brazil, Rest of Latin America)

§  Middle East & Africa (Saudi Arabia, UAE, South Africa, Rest of Middle East & Africa)

Excerpts from the summary:

Chapter 1: AI in Banking Market Overview, Drivers, Restrictions and Opportunities, Segmentation Overview

Chapter 2: Market competition by manufacturers

Chapter 3: Production by regions

Chapter 4: Consumption by Regions

Chapter 5: Production, by types, revenue and market share by types

Chapter 6: Consumption, by applications, market share (%) and growth rate by applications

Chapter 7: Profiling and comprehensive analysis of Producers

Chapter 8: Production Cost Analysis, Raw Material Analysis, Regional Production Expenses.

Chapter 9: Industrial chain, sourcing strategy and downstream buyers

Chapter 10: Marketing strategy analysis, distributors / merchants

Chapter 11: AI in Banking Market Effect Factors Analysis

Chapter 12: Market Forecasts

Chapter 13: AI in Banking Research findings and conclusions, Appendix, methodology and data source.

Thank you for reading our report. Please get in touch with us if you have any query regarding the report or its customization. Our team will ensure the report is best suited to your needs.

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