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Artificial Intelligence (AI) in BFSI Market Share and Analysis (2021-2028): Recent Updates and Business Development Strategies | Alphabet (Google), Microsoft, IBM, Intel, Inbenta Technologies, Baidu, and Oracle
Allied Market Research published a new report, titled, "Artificial Intelligence in BFSI Market By Offerings (Hardware, Software, and Services), Solution (Chatbots, Fraud Detection & Prevention, Anti-Money Laundering, Customer Relationship Management, Data Analytics & Prediction, and Others), Technology (Deep Learning, Querying Method, Natural Language Processing, and Context Aware Processing) : Global Opportunity Analysis and Industry Forecast, 2020-2027".The report provides a detailed study of the global artificial intelligence (AI) in BFSI market covering a number of important aspects such as current market scenario, estimates, top investment pockets, recent trends, changing dynamics, and vibrant forces of the industry from 2019 to 2027 to identify the underlying opportunities. The report gives much focus on the prospects that may transpire in the near future and provide a significant boost to the overall market growth.
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The report also covers the drivers that are playing a substantial role in fueling the market growth. At the same time, restraining factors that are expected to obstruct or hold the growth of the industry are also presented by our expert analysts in order to provide the key market players with a detailed scenario of the future threats in advance.
The report offers exhaustive and thorough insights into each of the prominent end user domains along with annual forecasts till the year 2027. In-depth study of the market size and its detailed segmentation help determine the prevalent artificial intelligence (AI) in BFSI market opportunities. The major countries in each region are mapped according to their revenue waves in the market. The leading market players in the industry are profiled, and their adopted slants & strategies are analyzed meticulously, which predict the competitive outlook of the artificial intelligence (AI) in BFSI market.
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Regions that are covered in the market report include North America (United States, Canada and Mexico), South America (Brazil, Argentina, and Colombia), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa). The report presents a detailed scenario of the market in each province.
Some ruling enterprises in the global artificial intelligence (AI) in BFSI market are examined in the report along with the citation of innovative product launches by them, their collaborative undertakings & endeavors, several merges & acquisitions, and many more. The frontrunners operating in the global artificial intelligence (AI) in BFSI industry include Alphabet Inc. (Google), Baidu Inc., Inbenta Technologies Inc., Intel Corporation, International Business Machines Corporation (IBM), Microsoft Corporation, Oracle Corporation, Palantir Technologies Inc., SAP SE, Salesforce. Other players operating in AI in BFSI market are Lexalytics Inc., Digital Reasoning Inc., Interaction LLC Inc., Ipsoft Inc., and Zest Finance.
Moreover, Porter’s five forces analytical pattern exhibits the assertiveness of the market by assessing several parameters including threats of alternatives, strength of the suppliers, and choice of the buyers operating in the industry.
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Key Benefits:
1. The market report offers an all-inclusive analysis of the value chain, changing market trends, major segments, Porter’s Five Forces study, business performance of the leading market players, and competitive landscape in a number of regions across the globe.
2. Porter’s Five Forces analysis focuses on the detailed breakdown of the report highlighting the growing segments that help industrialists come up with useful tactics & approaches to capitalize on the profitable sections.
3. Key investment pockets and current market setups are underlined in the research.
4. The artificial intelligence (AI) in BFSI market report covers the major states in each province and highlights their revenue contribution as well.
5. Last but not the least; the market report also doles out a demonstration of the active industry leaders.
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Highlights of the Report:
1. Detailed and exhaustive evaluation of the artificial intelligence (AI) in BFSI market.
2. Accrued revenues from each segment of the market from 2019 to 2027.
3. Drivers, restraints, and opportunities in the industry.
4. Approaches embraced by the key market players.
5. Provinces that would create multiple opportunities for the frontrunners in the industry.
6. Current scope and trends of the artificial intelligence (AI) in BFSI market.
Artificial Intelligence in BFSI Market Key Segments:
By Offerings
1. Hardware
2. Software
3. Services
By Solution:
1. Chatbots
2. Fraud Detection & Prevention
3. Anti-Money Laundering
4. Customer Relationship Management
5. Data Analytics & Prediction
6. Others
By Technology:
1. Deep Learning
2. Querying Method
3. Natural Language Processing
4. Context Aware Processing
By Region:
1. North America
2. Europe
3. Asia-Pacific
4. LAMEA
CHAPTERS DISCUSSED IN THE REPORT: [Total 227 Pages]
Chapter 1: Introduction
Chapter 2: Executive Summary
Chapter 3: Market Overview
Chapter 4: Artificial Intelligence in BFSI Market, By Offerings
Chapter 5: Artificial Intelligence in BFSI Market, By Solution
Chapter 6: Artificial Intelligence in BFSI Market, By Technology
Chapter 7: Artificial Intelligence in BFSI Market, By Region
Chapter 8: Company Profiles
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About Us:
Allied Market Research (AMR) is a full-service market research and business consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.
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