Market Overview
The global AI and Automation in Banking Market are projected to grow at a CAGR of XX% during the forecast period 2022-2029. This growth can be attributed to the increasing demand for efficient and cost-effective banking operations, enhancing customer experience, and automating routine tasks.
The banking sector is one of the most automatable in the world. The rapid adoption of automation for various activities such as risk management, customer service, and fraud detection has led to an increase in demand for artificial intelligence (AI) across various banking sectors globally.
Automation in banking helps banks save time and money by automating routine tasks. This reduces the need for human input, which in turn leads to improved efficiency and reduced costs. Automation also helps banksimize their operations, making them more efficient and responsive to customer needs.
One of the biggest benefits of automation is that it can improve bank customer service. Automating certain processes, such as loan approvals, it can free up personnel to provide better customer service. Furthermore, automated systems can identify and prevent fraud more quickly, which benefits both the bank and its customers.
Report Includes
An overview of the global AI and Automation in Banking market, and related technologies and developments. Analyses of global market trends, with historical data from 2018, 2019, and 2020 estimates and projections of CAGRs through 2029. It also includes breakdowns of the overall AI and Automation in Banking market along with various segments, and by geographic region. Analysis of the stakeholder value chain in the AI and Automation in Banking market and comprehensive profiles of leading companies in the industry
Report Scope
The report forecasts the size of the AI and Automation in Banking market for components from 2022 through 2029
The Executive Summary provides a snapshot of the key findings of the report. The introduction chapter includes the research scope, market segmentation, research methodology, and definitions and assumptions. It involves extremely rigorous scientific methods, tools, and techniques to estimate the market size. Exhaustive secondary research is being carried out to collect information related to the market, the parent market, and the peer market. Primary research is undertaken to validate the assumptions, findings, and sizing with industry experts and professionals across the value chain of the market. Both top-down and bottom-up approaches are employed to estimate the complete market size.
The chapter on market dynamics includes market drivers, restraints, and opportunities which helps familiarise with market potential and upcoming opportunities. The chapter on key insights includes emerging trends from major countries, the latest technological advancement, regulatory landscape, SWOT analysis, and Porter's five forces analysis. This chapter provides detailed insights of the market which derives the market trends, changing phase of investments, and the scope of profit potential, and helps to take appropriate business decisions. The chapter on competitive analysis includes the profiling of leading companies in the global market to map the leading companies and their focus of interest in the market.
After deriving the market size from the market size estimation process, the total market has been split into several segments and sub-segments. To complete the overall market engineering process and arrive at the exact statistics for all segments and sub-segments, data triangulation and market breakdown procedures are being used. The data triangulation is carried out by studying various factors and trends from demand and supply perspectives.
Segmentation Analysis
The global AI and Automation in Banking market are segmented on the basis of Type, Application, and Region.
Global AI and Automation in Banking Market Competitive Analysis:
Key players in the Global AI and Automation in Banking market are Kryon,EdgeVerve,Nice,Pegasystems,Kofax Inc,Inscribe,Yalantis,Itrex Group,Kryon Systems,Capgemini,Billtrust,Sutherland Global Services,BoTree Technologies,UiPath,EdgeVerve,Kofax Inc,Social Finance,Wealthfront,Ally Invest Robo Portfolios,Axos Managed Portfolios,Blooom,Ellevest,Ally Assist,Amy,Ceba,Citi Bot SG,Clari,Eno,Erica,Eva, and others players.
*All our reports are customizable as per customer requirements
This study forecasts revenue and volume growth at global, regional, and country levels from 2018 to 2029. The Global AI and Automation in Banking market is distributed on the basis of the below-mentioned segments:
Global AI and Automation in Banking Market, By Type:
The global AI and Automation in Banking Market are projected to grow at a CAGR of XX% during the forecast period 2022-2029. This growth can be attributed to the increasing demand for efficient and cost-effective banking operations, enhancing customer experience, and automating routine tasks.
The banking sector is one of the most automatable in the world. The rapid adoption of automation for various activities such as risk management, customer service, and fraud detection has led to an increase in demand for artificial intelligence (AI) across various banking sectors globally.
Automation in banking helps banks save time and money by automating routine tasks. This reduces the need for human input, which in turn leads to improved efficiency and reduced costs. Automation also helps banksimize their operations, making them more efficient and responsive to customer needs.
One of the biggest benefits of automation is that it can improve bank customer service. Automating certain processes, such as loan approvals, it can free up personnel to provide better customer service. Furthermore, automated systems can identify and prevent fraud more quickly, which benefits both the bank and its customers.
Report Includes
An overview of the global AI and Automation in Banking market, and related technologies and developments. Analyses of global market trends, with historical data from 2018, 2019, and 2020 estimates and projections of CAGRs through 2029. It also includes breakdowns of the overall AI and Automation in Banking market along with various segments, and by geographic region. Analysis of the stakeholder value chain in the AI and Automation in Banking market and comprehensive profiles of leading companies in the industry
Report Scope
The report forecasts the size of the AI and Automation in Banking market for components from 2022 through 2029
The Executive Summary provides a snapshot of the key findings of the report. The introduction chapter includes the research scope, market segmentation, research methodology, and definitions and assumptions. It involves extremely rigorous scientific methods, tools, and techniques to estimate the market size. Exhaustive secondary research is being carried out to collect information related to the market, the parent market, and the peer market. Primary research is undertaken to validate the assumptions, findings, and sizing with industry experts and professionals across the value chain of the market. Both top-down and bottom-up approaches are employed to estimate the complete market size.
The chapter on market dynamics includes market drivers, restraints, and opportunities which helps familiarise with market potential and upcoming opportunities. The chapter on key insights includes emerging trends from major countries, the latest technological advancement, regulatory landscape, SWOT analysis, and Porter's five forces analysis. This chapter provides detailed insights of the market which derives the market trends, changing phase of investments, and the scope of profit potential, and helps to take appropriate business decisions. The chapter on competitive analysis includes the profiling of leading companies in the global market to map the leading companies and their focus of interest in the market.
After deriving the market size from the market size estimation process, the total market has been split into several segments and sub-segments. To complete the overall market engineering process and arrive at the exact statistics for all segments and sub-segments, data triangulation and market breakdown procedures are being used. The data triangulation is carried out by studying various factors and trends from demand and supply perspectives.
Segmentation Analysis
The global AI and Automation in Banking market are segmented on the basis of Type, Application, and Region.
Global AI and Automation in Banking Market Competitive Analysis:
Key players in the Global AI and Automation in Banking market are Kryon,EdgeVerve,Nice,Pegasystems,Kofax Inc,Inscribe,Yalantis,Itrex Group,Kryon Systems,Capgemini,Billtrust,Sutherland Global Services,BoTree Technologies,UiPath,EdgeVerve,Kofax Inc,Social Finance,Wealthfront,Ally Invest Robo Portfolios,Axos Managed Portfolios,Blooom,Ellevest,Ally Assist,Amy,Ceba,Citi Bot SG,Clari,Eno,Erica,Eva, and others players.
*All our reports are customizable as per customer requirements
This study forecasts revenue and volume growth at global, regional, and country levels from 2018 to 2029. The Global AI and Automation in Banking market is distributed on the basis of the below-mentioned segments:
Global AI and Automation in Banking Market, By Type:
- RPA
- Roboadvisors
- Chatbots
- AI in lending underwriting
- Commercial Banks
- Cooperative Banks
- Regional Rural Banks
- Others
- North America
- US
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- Japan
- China
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Rest of South America
- Middle East and Africa
- GCC
- South Africa
- Rest of Middle East and Africa
AI and Automation in Banking MARKET STUDY GLOBAL MARKET ANALYSIS, INSIGHTS AND FORECAST, 2022-2029
1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
2. Executive Summary
3. Market Dynamics
- 3.1. Market Drivers
- 3.2. Market Restraints
- 3.3. Market Opportunities
4. Key Insights
- 4.1. Key Emerging Trends – For Major Countries
- 4.2. Latest Technological Advancement
- 4.3. Regulatory Landscape
- 4.4. Industry SWOT Analysis
- 4.5. Porters Five Forces Analysis
5. Global AI and Automation in Banking Market Analysis (USD Billion), Insights and Forecast, 2018-2029
- 5.1. Key Findings / Summary
- 5.2. Market Analysis, Insights and Forecast – By Segment 1
- 5.2.1. Sub-Segment 1
- 5.2.2. Sub-Segment 2
- 5.3. Market Analysis, Insights and Forecast – By Segment 2
- 5.3.1. Sub-Segment 1
- 5.3.2. Sub-Segment 2
- 5.3.3. Sub-Segment 3
- 5.3.4. Others
- 5.4. Market Analysis, Insights and Forecast – By Segment 3
- 5.4.1. Sub-Segment 1
- 5.4.2. Sub-Segment 2
- 5.4.3. Sub-Segment 3
- 5.4.4. Others
- 5.5. Market Analysis, Insights and Forecast – By Region
- 5.5.1. North America
- 5.5.2. Latin America
- 5.5.3. Europe
- 5.5.4. Asia Pacific
- 5.5.5. Middle East and Africa
6. North America AI and Automation in Banking Market Analysis (USD Billion), Insights and Forecast, 2018-2029
- 6.1. Key Findings / Summary
- 6.2. Market Analysis, Insights and Forecast – By Segment 1
- 6.2.1. Sub-Segment 1
- 6.2.2. Sub-Segment 2
- 6.3. Market Analysis, Insights and Forecast – By Segment 2
- 6.3.1. Sub-Segment 1
- 6.3.2. Sub-Segment 2
- 6.3.3. Sub-Segment 3
- 6.3.4. Others
- 6.4. Market Analysis, Insights and Forecast – By Segment 3
- 6.4.1. Sub-Segment 1
- 6.4.2. Sub-Segment 2
- 6.4.3. Sub-Segment 3
- 6.4.4. Others
- 6.5. Market Analysis, Insights and Forecast – By Country
- 6.5.1. U.S.
- 6.5.2. Canada
7. Latin America AI and Automation in Banking Market Analysis (USD Billion), Insights and Forecast, 2018-2029
- 7.1. Key Findings / Summary
- 7.2. Market Analysis, Insights and Forecast – By Segment 1
- 7.2.1. Sub-Segment 1
- 7.2.2. Sub-Segment 2
- 7.3. Market Analysis, Insights and Forecast – By Segment 2
- 7.3.1. Sub-Segment 1
- 7.3.2. Sub-Segment 2
- 7.3.3. Sub-Segment 3
- 7.3.4. Others
- 7.4. Market Analysis, Insights and Forecast – By Segment 3
- 7.4.1. Sub-Segment 1
- 7.4.2. Sub-Segment 2
- 7.4.3. Sub-Segment 3
- 7.4.4. Others
- 7.5. Insights and Forecast – By Country
- 7.5.1. Brazil
- 7.5.2. Mexico
- 7.5.3. Rest of Latin America
8. Europe AI and Automation in Banking Market Analysis (USD Billion), Insights and Forecast, 2018-2029
- 8.1. Key Findings / Summary
- 8.2. Market Analysis, Insights and Forecast – By Segment 1
- 8.2.1. Sub-Segment 1
- 8.2.2. Sub-Segment 2
- 8.3. Market Analysis, Insights and Forecast – By Segment 2
- 8.3.1. Sub-Segment 1
- 8.3.2. Sub-Segment 2
- 8.3.3. Sub-Segment 3
- 8.3.4. Others
- 8.4. Market Analysis, Insights and Forecast – By Segment 3
- 8.4.1. Sub-Segment 1
- 8.4.2. Sub-Segment 2
- 8.4.3. Sub-Segment 3
- 8.4.4. Others
- 8.5. Market Analysis, Insights and Forecast – By Country
- 8.5.1. UK
- 8.5.2. Germany
- 8.5.3. France
- 8.5.4. Italy
- 8.5.5. Spain
- 8.5.6. Russia
- 8.5.7. Rest of Europe
9. Asia Pacific AI and Automation in Banking Market Analysis (USD Billion), Insights and Forecast, 2018-2029
- 9.1. Key Findings / Summary
- 9.2. Market Analysis, Insights and Forecast – By Segment 1
- 9.2.1. Sub-Segment 1
- 9.2.2. Sub-Segment 2
- 9.3. Market Analysis, Insights and Forecast – By Segment 2
- 9.3.1. Sub-Segment 1
- 9.3.2. Sub-Segment 2
- 9.3.3. Sub-Segment 3
- 9.3.4. Others
- 9.4. Market Analysis, Insights and Forecast – By Segment 3
- 9.4.1. Sub-Segment 1
- 9.4.2. Sub-Segment 2
- 9.4.3. Sub-Segment 3
- 9.4.4. Others
- 9.5. Market Analysis, Insights and Forecast – By Country
- 9.5.1. China
- 9.5.2. India
- 9.5.3. Japan
- 9.5.4. Australia
- 9.5.5. South East Asia
- 9.5.6. Rest of Asia Pacific
10. Middle East & Africa AI and Automation in Banking Market Analysis (USD Billion), Insights and Forecast, 2018-2029
- 10.1. Key Findings / Summary
- 10.2. Market Analysis, Insights and Forecast – By Segment 1
- 10.2.1. Sub-Segment 1
- 10.2.2. Sub-Segment 2
- 10.3. Market Analysis, Insights and Forecast – By Segment 2
- 10.3.1. Sub-Segment 1
- 10.3.2. Sub-Segment 2
- 10.3.3. Sub-Segment 3
- 10.3.4. Others
- 10.4. Market Analysis, Insights and Forecast – By Segment 3
- 10.4.1. Sub-Segment 1
- 10.4.2. Sub-Segment 2
- 10.4.3. Sub-Segment 3
- 10.4.4. Others
- 10.5. Market Analysis, Insights and Forecast – By Country
- 10.5.1. GCC
- 10.5.2. South Africa
- 10.5.3. Rest of Middle East & Africa
11. Competitive Analysis
- 11.1. Company Market Share Analysis, 2018
- 11.2. Key Industry Developments
- 11.3. Company Profile
- 11.3.1. Company 1
- 11.3.1.1. Business Overview
- 11.3.1.2. Segment 1 & Service Offering
- 11.3.1.3. Overall Revenue
- 11.3.1.4. Geographic Presence
- 11.3.1.5. Recent Development
- 11.3.2. Company 2
- 11.3.3. Company 3
- 11.3.4. Company 4
- 11.3.5. Company 5
- 11.3.6. Company 6
- 11.3.7. Company 7
- 11.3.8. Company 8
- 11.3.9. Company 9
- 11.3.10. Company 10
- 11.3.11. Company 11
- 11.3.12. Company 12
- 11.3.1. Company 1