Press release
Artificial Intelligence (AI) in BFSI Market 2020-2027: Current Trends, Market Share, Growth Opportunities and Business Strategies By Alphabet (Google), Baidu, Inbenta Technologies, Intel, IBM, Microsoft, Oracle and Palantir Technologies
Allied Market Research published an exclusive 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 artificial intelligence (AI) in BFSI market report offers an in-depth analysis of every crucial factor that affects the market growth including recent market developments, key market players, and decisive trends. The study begins with a detailed analysis of major determinants of the market such as drivers, challenges, restraints, and upcoming opportunities.
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The market is studied based on a variety of factors that impact the performance of the market across various regions such as North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, Colombia), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa).
The artificial intelligence (AI) in BFSI market report includes a thorough study of the top 10 market players active in the industry along with their business overview, financial analysis, business strategies, SWOT profile, and key products and services. Leading market players analyzed in the report 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, it includes recent industry developments including prime market mergers & acquisitions, new product launches, partnerships and collaborations, and market expansion.
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The artificial intelligence (AI) in BFSI industry report includes growth factors of the market along with major challenges and restraining factors that might hinder the market growth. This analysis aids new market entrants and existing manufacturers to prepare for future challenges and take advantage of opportunities to strengthen their market position.
The report offers detailed information regarding major end-users and annual forecasts from 2019 to 2027. In addition, it presents revenue forecasts for each year along with sales and sales growth of the artificial intelligence (AI) in BFSI. The forecasts are offered by an in-depth study of the market by skilled analysts concerning offerings, solution, technology, and geography of the market. These forecasts are beneficial to gain insight on the future prospects of the market.
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Prime Benefits:
1. The report includes Porter’s Five Forces analysis to understand the ability of buyers and suppliers to allow business investors to make strategic decisions.
2. The study offers a detailed analysis of the ongoing market trends, market size, and forecast of the artificial intelligence (AI) in BFSI market during the period 2019-2027.
3. The report includes the potential of the market across various regions along with revenue contribution.
4. The study provides an in-depth analysis of the major market players in the artificial intelligence (AI) in BFSI market.
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Major Offering of the Report:
1. Major impacting factors: An in-depth analysis of driving factors, upcoming opportunities, and challenges.
2. Ongoing trends & forecasts: A thorough study in recent market trends, happenings, and forecasts for the next few years to take a strategic, informed decision.
3. Segmental analysis: A detailed analysis of each segment and driving factors coupled with growth rate analysis.
4. Regional analysis: Insights on the market potential across each region to enable market players to leverage market opportunities.
5. Competitive landscape: An in-depth analysis of every key market player active in 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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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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