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.
The report aims to offer a clear understanding of the market with respect to the manufacturers, suppliers, vendors, distributors, and key companies involved in the market. The report has been formulated through extensive primary and secondary research along with verified and reliable data obtained from industry experts and professionals. The key findings from the report have been sorted into charts, figures, tables, and other pictorial representations.
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Rapid technological advancements and economic growth are key factors expected to drive market growth over the forecast period. The report further provides a comprehensive analysis of the competitive landscape and provides a complete coverage with regards to company’s profiles, product portfolio, revenue generation, financial standing and market position.
Top Companies Operating in the AI in Banking Market and Profiled in the Report are:
- 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.
It further offers a comprehensive coverage of the strategic alliances such as mergers and acquisitions, joint ventures, collaborations, product launches, brand promotions, and partnerships, among others. Key strategic alliances for product development and advancements is expected to add traction to market growth going ahead. The report also covers an in-depth analysis of the key competitors of the market along with their growth strategies and business expansion plans.
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.
Regional analysis of the AI in Banking market includes analysis of the production and consumption ratio, supply and demand dynamics, regional trends and growth drivers, growth prospects, presence of key manufacturers and vendors, and market size and share in key regions such as North America, Latin America, Europe, Asia Pacific, and Middle East and Africa. The report further offers key insights into country wise analysis and major factors driving revenue growth of each regional market.
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Regional Segmentation;
North America (U.S., Canada)
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
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 further sheds light on the emerging growth opportunities, challenges, market threats, limitations, and factors likely to restrict the growth of the AI in Banking market. The report further discusses in detail the market in international waters and the emerging trends in those regions. It also offers insights into the competitive landscape, market drivers, industrial scenario, and the latest product and technological developments to offer a comprehensive overview of the AI in Banking market landscape.
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Radical Highlights of the AI in Banking Market Report:
- Comprehensive overview of the AI in Banking market along with analysis of the changing dynamics of the market
- Growth Assessment of various market segments throughout the forecast period
- Regional and global analysis of the market players, including their market share and global position
- Growth strategies adopted by key market players to combat the impact of the COVID-19 pandemic on the market
- Impact of the technological developments and R&D advancements on the AI in Banking market
- Information about profit-making strategies and developmental strategies of major companies and manufacturers
- Insightful information for the new entrants willing to enter the market
- Details and insights about business expansion strategies, product launches, and other collaborations
- The report incorporates advanced analytical tools such as SWOT analysis, Porter’s Five Forces Analysis, feasibility analysis, and investment return analysis
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