AI and Automation in Banking

Global AI and Automation in Banking Market Opportunities and Forecast 2022-2029

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, 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.

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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.

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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

Global AI and Automation in Banking Market, By Application:

  • Commercial Banks
  • Cooperative Banks
  • Regional Rural Banks
  • Others

Global AI and Automation in Banking Market, By Region:

  • 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

Research objectives:

  • To study and analyze the global AI and Automation in Banking market size by key regions/countries, product type and application, history data from 2018 to 2020, and forecast to 2029.
  • To understand the structure of AI and Automation in Banking market by identifying its various sub segments.
  • Focuses on the key global AI and Automation in Banking players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
  • To analyze the AI and Automation in Banking with respect to individual growth trends, future prospects, and their contribution to the total market.
  • To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
  • To project the size of AI and Automation in Banking submarkets, with respect to key regions (along with their respective key countries).
  • To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
  • To strategically profile the key players and comprehensively analyze their growth strategies.
  • To strategically profile the key players and comprehensively analyze their growth strategies.

The report lists the major players in the regions and their respective market share on the basis of global revenue. It also explains their strategic moves in the past few years, investments in product innovation, and changes in leadership to stay ahead in the competition. This will give the reader an edge over others as a well-informed decision can be made looking at the holistic picture of the market.

Key questions answered in this report

  • What will the market size be in 2029 and what will the growth rate be?
  • What are the key market trends?
  • What is driving this market?
  • What are the challenges to market growth?
  • Who are the key vendors in this market space?
  • What are the market opportunities and threats faced by the key vendors?
  • What are the strengths and weaknesses of the key vendors?

Table of Contents: AI and Automation in Banking Market

  • Part 1: Overview of AI and Automation in Banking Market
  • Part 2: AI and Automation in Banking Carts: Global Market Status and Forecast by Regions
  • Part 3: Global Market Status and Forecast by Types
  • Part 4: Global Market Status and Forecast by Downstream Industry
  • Part 5: Market Driving Factor Analysis
  • Part 6: Market Competition Status by Major Manufacturers
  • Part 7: Major Manufacturers Introduction and Market Data
  • Part 8: Upstream and Downstream Market Analysis
  • Part 9: Cost and Gross Margin Analysis
  • Part 10: Marketing Status Analysis
  • Part 11: Market Report Conclusion
  • Part 12: AI and Automation in Banking: Research Methodology and Reference

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