AI in Banking Market Forecast , Trends , Top Key Players , Share, Growth to 2027 |Emergen Research

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 report has gather vital information about recent mergers and acquisitions, joint ventures, collaborations, partnerships, brand promotions, R&D activities, and government and corporate deals, among others through extensive primary and secondary research. The report also offers detailed analysis of each competitor along with their financial standing, global market position, product portfolio, manufacturing and production capacity, and business expansion plans. The research report gives a special focus on the strengths and weaknesses of the leading participants and offers a comprehensive SWOT analysis and an investigative study for their evolution through extensive historical analysis

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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.

Covid-19 Impact Analysis :

COVID-19 outbreak has affected the AI in Banking Market positively. AI is playing a crucial role in dealing with the pandemic. The report highlights the current impact of COVID-19 on the AI in Banking Market along with the latest economic scenario and changing dynamics of the market. It analyzes the impact of the pandemic on market growth and remuneration. The pandemic has changed the economic scenario of the world and has affected several sectors of the market. The report estimates the market for AI in Banking Market according to the impact of COVID-19.

The study is a source of reliable data on:

  • Market segments and sub-segments
  • Market trends and dynamics
  • Supply and demand
  • Market size
  • Current trends/opportunities/challenges
  • Competitive landscape
  • Technological breakthroughs
  • Value chain and stakeholder analysis

 

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The primary aim of the report is to offer precise information to the readers and investor and help them invest after understanding the market dynamics at glance. The report offers in depth information about the competitive landscape of the global AI in Banking Market with extensive profiling of each market player with its global position, financial standing, business expansion plans, and license agreement.

Leading Players Analyzed in the Report:

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.

Research Methodology

Research assumptions Research data including primary and secondary data

Primary data includes breakdown of primaries and key industry insights

Data triangulation and market breakdown

Secondary data includes key data from secondary sources

Competitive Landscape:

Furthermore, the report includes an in-depth analysis of the competitive landscape. The segment covers a comprehensive overview of the company profiles along with product profiles, production capacities, products/services, pricing analysis, profit margins, and manufacturing process developments. The report also covers strategic business measures undertaken by the companies to gain substantial market share. The report provides insightful information about recent mergers and acquisitions, product launches, collaborations, joint ventures, partnerships, agreements, and government deals.

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Emergen Research has segmented the AI in Banking Market in terms of provider, application, solution :

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

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)

The report answers questions such as:

What is the competitive strategic window for opportunities in the Global  AI in Banking Market ?

What Is Current Market Status of AI in Banking Market  ?

Which Manufacturing Technology is used for AI in Banking Market ?

Who are the prominent players operating in the market?

What are the key strategies adopted by these companies?

What modes and strategic moves are considered suitable for entering the Global  AI in Banking Market ?

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What our reports offer:

Market share assessments for the regional and country-level segments

Strategic recommendations for the new entrants

Covers market data for 2019, 2020, till 2027

Market trends (drivers, opportunities, threats, challenges, investment opportunities, and recommendations)

Strategic recommendations in key business segments based on the market estimations

Competitive landscaping mapping the key common trends

Table of Contents:

Chapter 1 includes an introduction of the global AI in Banking Market , along with a comprehensive market overview, market scope, product offerings, and an investigation of the market drivers, growth opportunities, risks, restraints, and other vital factors.

Chapter 2 offers an in-depth analysis of the key manufacturers engaged in this business vertical, along with their sales and revenue estimations.

Chapter 3 elaborates on the highly competitive terrain of the market, highlighting the key manufacturers and vendors.

In Chapter 4, our team has fragmented the market on the basis of regions, underscoring the sales, revenue, and market share of each region over the forecast timeline.

Chapters 5 and 6 have laid emphasis on the market segmentation based on product type and application

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About Us:

At Emergen Research, we believe in advancing with technology. We are a growing market research and strategy consulting company with an exhaustive knowledge base of cutting-edge and potentially market-disrupting technologies that are predicted to become more prevalent in the coming decade

 

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