The ‘ Artificial Intelligence (Ai) In Fintech market’ research report added by Report Ocean, is an in-depth analysis of the latest developments, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players. The research study provides market overview; Artificial Intelligence (Ai) In Fintech derived key statistics, based on the market status of the manufacturers and is a valuable source of guidance and direction for companies and individuals interested in Artificial Intelligence (Ai) In Fintech market size forecast, Get report to understand the structure of the complete fine points (Including Full TOC, List of Tables & Figures, Chart).
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Global Artificial Intelligence (AI) in Fintech Market is valued approximately USD 2.6 billion in 2019 and is anticipated to grow with a healthy growth rate of more than 40.4 % over the forecast period 2020-2026. Artificial Intelligence (AI) improves results by applying methods derived from aspects of Human Intelligence at a beyond human scale and performs tasks such as learning, decision making, planning, and speech recognition. In financial technology sector AI reduces time, increases efficiency and decreases the chance of error.
The growing internet penetration and availability of spatial data are the few factors responsible for growth of the market over the forecast period. For instance, according to Internet World Stats in 2018, 49% of total population in Asia uses internet, 85.2% in Europe, 36.1% in Africa and 95% in North America. Furthermore, the rising advancements and other strategic alliance by market key player will create a lucrative demand for this market. For instance: as per Company’s news release on 28th June 2019, Microsoft Corporation agreed into a partnership with Deutsche Bank, a leading law firm in financial services and technology. Microsoft Corporation also launched a new project on AI principles in Asia, focusing on the financial services industry.
Moreover, the COVID-19 Pandemic enables every organization to provide work form home, increasing the demand of high trend Financial service provider due to the unstability of market positioning. However, lack of skilled consultants to deploy AI in Fintech is the major factor restraining the growth of global Artificial Intelligence (AI) in Fintech market during the forecast period.
The regional analysis of global Artificial Intelligence (AI) in Fintech market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world. Whereas, Asia-Pacific is also anticipated to exhibit highest growth rate / CAGR over the forecast period 2020-2026.
Major market player included in this report are:
Microsoft Corporation
Google LLC
IBM Corporation
Intel Corporation
Inbenta Technologies
Nuance Communications Inc.
Complyadvantage.Com
Salesforce.Com Inc.
Amazon Web Services
Samsung Group
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
Solution
Services
By Deployment:
Cloud
On-Premise
By Application:
Virtual Assistants (Chatbots)
Business Analytics and Reporting
Customer Behavioral Analytics
Others
Target Audience of the Global Artificial Intelligence (AI) in Fintech Market in Market Study:
Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors
A systematic step framework for How to Tackle The Situation… “MITIGATE” | “SUSTAIN” | “GROW”: Business Strategy Recovery, Scenario and Planning
Key Segments Studied in the Global Artificial Intelligence (Ai) In Fintech Market
Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan
In-Depth Qualitative Analyses Include Identification And Investigation Of The Following Aspects: Market Structure, Growth Drivers, Restraints and Challenges, Emerging Product Trends & Market Opportunities, Porter’s Fiver Forces. The report also inspects the financial standing of the leading companies, which includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, and other financial ratios. The report basically gives information about the Market trends, growth factors, limitations, opportunities, challenges, future forecasts, and details about all the key market players.
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Changing Forecasts in a Time of Crisis: explores key issues, including:
Key questions answered: Study Explore COVID 19 Outbreak Impact Analysis
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Key Points Covered in Artificial Intelligence (Ai) In Fintech Market Report: COVID 19 Impact Analysis
Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2018-2026 (USD Billion)
1.2.1. Artificial Intelligence (AI) in Fintech Market, by Region, 2018-2026 (USD Billion)
1.2.2. Artificial Intelligence (AI) in Fintech Market, by Component, 2018-2026 (USD Billion)
1.2.3. Artificial Intelligence (AI) in Fintech Market, by Deployment Mode, 2018-2026 (USD Billion)
1.2.4. Artificial Intelligence (AI) in Fintech Market, by Application, 2018-2026 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Artificial Intelligence (AI) in Fintech Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Artificial Intelligence (AI) in Fintech Market Dynamics
3.1. Artificial Intelligence (AI) in Fintech Market Impact Analysis (2018-2026)
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities
Chapter 4. Global Artificial Intelligence (AI) in Fintech Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2016-2026)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Artificial Intelligence (AI) in Fintech Market, by Component
5.1. Market Snapshot
5.2. Global Artificial Intelligence (AI) in Fintech Market by Component, Performance – Potential Analysis
5.3. Global Artificial Intelligence (AI) in Fintech Market Estimates & Forecasts by Component 2016-2026 (USD Billion)
5.4. Artificial Intelligence (AI) in Fintech Market, Sub Segment Analysis
5.4.1. Solution
5.4.2. Services
Chapter 6. Global Artificial Intelligence (AI) in Fintech Market, by Deployment Mode
6.1. Market Snapshot
6.2. Global Artificial Intelligence (AI) in Fintech Market by Deployment Mode, Performance – Potential Analysis
6.3. Global Artificial Intelligence (AI) in Fintech Market Estimates & Forecasts by Deployment Mode 2016-2026 (USD Billion)
6.4. Artificial Intelligence (AI) in Fintech Market, Sub Segment Analysis
6.4.1. Cloud
6.4.2. On-Premise
Chapter 7. Global Artificial Intelligence (AI) in Fintech Market, by Application
7.1. Market Snapshot
7.2. Global Artificial Intelligence (AI) in Fintech Market by Application, Performance – Potential Analysis
7.3. Global Artificial Intelligence (AI) in Fintech Market Estimates & Forecasts by Application 2016-2026 (USD Billion)
7.4. Artificial Intelligence (AI) in Fintech Market, Sub Segment Analysis
7.4.1. Virtual Assistants (Chatbots)
7.4.2. Business Analytics and Reporting
7.4.3. Customer Behavioral Analytics
7.4.4. Others
Chapter 8. Global Artificial Intelligence (AI) in Fintech Market, Regional Analysis
8.1. Artificial Intelligence (AI) in Fintech Market, Regional Market Snapshot
8.2. North America Artificial Intelligence (AI) in Fintech Market
8.2.1. U.S. Artificial Intelligence (AI) in Fintech Market
8.2.1.1. Component breakdown estimates & forecasts, 2016-2026
8.2.1.2. Deployment Mode breakdown estimates & forecasts, 2016-2026
8.2.1.3. Application breakdown estimates & forecasts, 2016-2026
8.2.2. Canada Artificial Intelligence (AI) in Fintech Market
8.3. Europe Artificial Intelligence (AI) in Fintech Market Snapshot
8.3.1. U.K. Artificial Intelligence (AI) in Fintech Market
8.3.2. Germany Artificial Intelligence (AI) in Fintech Market
8.3.3. Rest of Europe Artificial Intelligence (AI) in Fintech Market
8.4. Asia-Pacific Artificial Intelligence (AI) in Fintech Market Snapshot
8.4.1. China Artificial Intelligence (AI) in Fintech Market
8.4.2. India Artificial Intelligence (AI) in Fintech Market
8.4.3. Japan Artificial Intelligence (AI) in Fintech Market
8.4.4. Rest of Asia Pacific Artificial Intelligence (AI) in Fintech Market
8.5. Latin America Artificial Intelligence (AI) in Fintech Market Snapshot
8.5.1. Brazil Artificial Intelligence (AI) in Fintech Market
8.5.2. Mexico Artificial Intelligence (AI) in Fintech Market
8.6. Rest of The World Artificial Intelligence (AI) in Fintech Market
Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. Microsoft Corporation
9.2.1.1. Key Information
9.2.1.2. Overview
9.2.1.3. Financial (Subject to Data Availability)
9.2.1.4. Product Summary
9.2.1.5. Recent Developments
9.2.2. Google LLC
9.2.3. IBM Corporation
9.2.4. Intel Corporation
9.2.5. Inbenta Technologies
9.2.6. Nuance Communications Inc.
9.2.7. Complyadvantage.Com
9.2.8. Salesforce.Com Inc.
9.2.9. Amazon Web Services
9.2.10. Samsung Group
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption
Continued….
……..and view more in complete table of Contents
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