AI in Banking Market Size – USD 8.30 Billion in 2019, Market Growth – at a CAGR of 42.9%
VANCOUER, BC, CANADA, November 17, 2021 /EINPresswire.com/ — 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.
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Covid -19 impact analysis:
The latest report is updated with the impact analysis of the current COVID-19 pandemic on the market. The rapidly changing dynamics of the market and current and future growth potential of the market are covered in the report. The report offers crucial information about the initial and future assessment of the impact of the COVID-19 crisis on the overall AI in Banking Market . The coronavirus outbreak has beleaguered the AI in Banking Market business landscape and posed severe threats to the developmental scope of various manufacturers and buyers involved in this sector. The report further discusses the profound impact of the global AI in Banking Market scenario, accompanied by speculations about its post-COVID-19 scenario.
Key Companies in the AI in Banking Market include:
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.
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.
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Scope of the report : AI in Banking Market
Based on the in-depth analysis the research also brings to light major facts pertaining to the vital aspects such as market share, size, and growth rate. Deep dive into other aspects including the investment feasibility, demand and supply, import and export status, supply chain management and growth prospects narrates a lot about what the business environment will be like for the forecast period,2020 – 2027 . All the vital statistics in the report are explained with the help of resources such as tables, charts, and info graphics.
Global AI in Banking Market Geographical Landscape – Synopsis:
The report closely studies the growth trajectory of the global AI in Banking Market . It brings to light the global dominance of the leading regional segments, including North America, Asia Pacific, Europe, Latin America, and the Middle East & Africa.
The study elaborates on the crucial information pertaining to the regional market share. It simultaneously focuses on the significant details about the growth patterns of each regional market.
Moreover, the report encases an exhaustive geographical study of the market, emphasizing the business growth prospects and market barriers for each of the key market regions.
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segmented the global AI in banking market on the basis of component, technology, application, solution
Component Outlook (Revenue, USD Billion; 2020–2027)
Technology Outlook (Revenue, USD Billion; 2020–2027)
Natural Language Processing
Deep Learning & Machine Learning
Application Outlook (Revenue, USD Billion; 2020–2027)
Compliance & Security
Solution Outlook (Revenue, USD Billion; 2020–2027)
Customer Behavior Analytics
Data Analytics & Visualization
Customer Relationship Management
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The research provides answers to the following key questions:
What strategies are the prominent vendors adapting to stay ahead of their competitors?
Which major trends are impacting the development of the AI in Banking Market worldwide?
Which factors can hinder, challenge or even restrict the expansion of the AI in Banking Market worldwide?
What will be the market size and growth rate of the AI in Banking Market for the forecast period 2020 -2028 across different regions?
What are the key driving forces expected to shape the future of the industry worldwide?
What are the opportunities or future prospect for the business owners operating in the market for the forecast period, 2020 – 2027 ?
Key Objectives of the AI in Banking Market Report:
Examine the size of the global AI in Banking Market based on the parameters of value and volume.
Accurately calculate the market shares, consumption, and other essential aspects of different segments of the global AI in Banking Market .
Explore the underlying dynamics of the global AI in Banking Market .
Global AI in Banking Market Highlights:
Regional demand estimation and forecast
Product Mix Matrix
Pre-commodity pricing volatility
Supply chain optimization analysis
Technological updates analysis
Raw Material Sourcing Strategy
Table of Content
Chapter 1. Methodology & Sources
1.1. Market Definition
1.2. Research Scope
1.4. Research Sources
1.4.3. Paid Sources
1.5. Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2019-2027
Chapter 3. Key Insights
Chapter 4. AI in Banking Market Segmentation & Impact Analysis
Chapter 5. AI in Banking Market By Component Insights & Trends Revenue (USD Billion)
Chapter 6. AI in Banking Market By Technology Insights & Trends Revenue (USD Billion)
Chapter 7. AI in Banking Market Regional Outlook
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