AI In Fintech Market
Artificial Intelligence (AI) in Fintech - Global Market Outlook (2019 -2027)
According to Stratistics MRC, the Global AI in Fintech Market is accounted for $2,617.13 million in 2019 and is expected to reach $35,230.1 million by 2027 growing at a CAGR of 38.4% during the forecast period. Some of the factors such as rising demand for process automation among financial organizations, increasing use of AI-enabled technological solutions are the major factors propelling the growth of the market. However, the lack of skilled consultants is hampering the market growth.
AI in Fintech gets better results by applying techniques derived from aspects of Human Intelligence at a beyond human scale. The computational arms race for past years has revolutionized the Fintech companies. AI and machine learning have gained banks and fintech as they can develop huge amounts of information about customers. This data and information are then compared to obtain results about suitable services/products that customers want, which has aided, effectively, in developing customer relations.
Based on the application, the business analytics and reporting segment is likely to have a huge demand due to it helps in regulatory and compliance management as well as in the analysis of customer behavior.
By geography, North America is estimated to have a lucrative growth due to the strong economy, robust presence of prominent A.I. software and system suppliers, and combined investment by government and private organizations for the development and growth of research & development activities.
Some of the key players profiled in the AI in Fintech Market include Ripple Labs Inc., Active.Ai, TIBCO Software (Alpine Data Labs), Trifacta Software Inc., Data Minr Inc., Zeitgold GmbH, Sift Science Inc., Pefin Holdings LLC, Betterment Holdings, WealthFront Inc., Intel Corporation, Sentifi AG, ComplyAdvantage.com, Narrative Science, Amazon Web Services Inc., IPsoft Inc., Next IT Corporation, Microsoft Corporation, Onfido, and IBM Corporation.
Deployments Covered:
• On-premise
• Cloud
Components Covered:
• Services
• Solutions
• Hardware
Place of Deployments Covered:
• Back Office
• Front Office
Applications Covered:
• Business Analytics and Reporting
• Virtual Assistants (Chatbots)
• Customer Behavioural Analytics
• Risk Investigation
• Quantitative and Asset Management
• Fraud Detection
• Know Your Customer (KYC)
• Accounting
• Customer Service
• P2P lending
• Insurance Support
• Network Security
• Capital Markets
• Other Applications
End Users Covered:
• Retail Banking
• Hedge Funds
• Stock Trading Firms
• Investment Banking
Machine Learning Applications Covered:
• Unsupervised Learning
• Supervised Learning
• Reinforced Learning
• Semi-supervised Learning
• Deep Learning
• Natural Language Processing
• Machine Vision
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2018, 2019, 2020, 2024 and 2027
- Market Trends (Drivers, Constraints, 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
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global AI in Fintech Market, By Deployment
5.1 Introduction
5.2 On-premise
5.3 Cloud
6 Global AI in Fintech Market, By Component
6.1 Introduction
6.2 Services
6.2.1 Professional Services
6.2.2 Managed Services
6.2.3 Consultancy Services
6.3 Solutions
6.3.1 Platforms
6.3.2 Software Tools
6.3.2.1 Data Quality and Data Governance
6.3.2.2 Data Visualization
6.3.2.3 Data Discovery
6.3.3 Trading
6.3.4 Process Automation
6.3.5 Robot-Advisory
6.3.6 Intelligent Bots
6.3.7 Personalized Banking
6.4 Hardware
7 Global AI in Fintech Market, By Place of Deployment
7.1 Introduction
7.2 Back Office
7.3 Front Office
8 Global AI in Fintech Market, By Application
8.1 Introduction
8.2 Business Analytics and Reporting
8.2.1 Predictive Analytics
8.2.2 Regulatory and Compliance Management
8.3 Virtual Assistants (Chatbots)
8.4 Customer Behavioural Analytics
8.4.1 Insurance Premium
8.4.2 Credit Scoring
8.4.3 Asset and Portfolio Management
8.4.4 Debt Collection
8.5 Risk Investigation
8.6 Quantitative and Asset Management
8.7 Fraud Detection
8.8 Know Your Customer (KYC)
8.9 Accounting
8.10 Customer Service
8.11 P2P lending
8.12 Insurance Support
8.13 Network Security
8.14 Capital Markets
8.15 Other Applications
8.15.1 Advertising
8.15.2 Market Research
8.15.3 Marketing Campaign
8.15.4 Financial Market Prediction
9 Global AI in Fintech Market, By End User
9.1 Introduction
9.2 Retail Banking
9.3 Hedge Funds
9.4 Stock Trading Firms
9.5 Investment Banking
10 Global AI in Fintech Market, By Machine Learning Applications
10.1 Introduction
10.2 Unsupervised Learning
10.3 Supervised Learning
10.4 Reinforced Learning
10.5 Semi-supervised Learning
10.6 Deep Learning
10.7 Natural Language Processing
10.8 Machine Vision
11 Global AI in Fintech Market, By Geography
11.1 Introduction
11.2 North America
11.2.1 US
11.2.2 Canada
11.2.3 Mexico
11.3 Europe
11.3.1 Germany
11.3.2 UK
11.3.3 Italy
11.3.4 France
11.3.5 Spain
11.3.6 Rest of Europe
11.4 Asia Pacific
11.4.1 Japan
11.4.2 China
11.4.3 India
11.4.4 Australia
11.4.5 New Zealand
11.4.6 South Korea
11.4.7 Rest of Asia Pacific
11.5 South America
11.5.1 Argentina
11.5.2 Brazil
11.5.3 Chile
11.5.4 Rest of South America
11.6 Middle East & Africa
11.6.1 Saudi Arabia
11.6.2 UAE
11.6.3 Qatar
11.6.4 South Africa
11.6.5 Rest of Middle East & Africa
12 Key Developments
12.1 Agreements, Partnerships, Collaborations and Joint Ventures
12.2 Acquisitions & Mergers
12.3 New Product Launch
12.4 Expansions
12.5 Other Key Strategies
13 Company Profiling
13.1 Ripple Labs Inc.
13.2 Active.Ai
13.3 TIBCO Software (Alpine Data Labs)
13.4 Trifacta Software Inc.
13.5 Data Minr Inc.
13.6 Zeitgold GmbH
13.7 Sift Science Inc.
13.8 Pefin Holdings LLC
13.9 Betterment Holdings
13.10 WealthFront Inc.
13.11 Intel Corporation
13.12 Sentifi AG
13.13 ComplyAdvantage.com
13.14 Narrative Science
13.15 Amazon Web Services Inc.
13.16 IPsoft Inc.
13.17 Next IT Corporation
13.18 Microsoft Corporation
13.19 Onfido
13.20 IBM Corporation
List of Tables
1 Global AI in Fintech Market Outlook, By Region (2018-2027) ($MN)
2 Global AI in Fintech Market Outlook, By Deployment (2018-2027) ($MN)
3 Global AI in Fintech Market Outlook, By On-premise (2018-2027) ($MN)
4 Global AI in Fintech Market Outlook, By Cloud (2018-2027) ($MN)
5 Global AI in Fintech Market Outlook, By Component (2018-2027) ($MN)
6 Global AI in Fintech Market Outlook, By Services (2018-2027) ($MN)
7 Global AI in Fintech Market Outlook, By Professional Services (2018-2027) ($MN)
8 Global AI in Fintech Market Outlook, By Managed Services (2018-2027) ($MN)
9 Global AI in Fintech Market Outlook, By Consultancy Services (2018-2027) ($MN)
10 Global AI in Fintech Market Outlook, By Solutions (2018-2027) ($MN)
11 Global AI in Fintech Market Outlook, By Platforms (2018-2027) ($MN)
12 Global AI in Fintech Market Outlook, By Software Tools (2018-2027) ($MN)
13 Global AI in Fintech Market Outlook, By Trading (2018-2027) ($MN)
14 Global AI in Fintech Market Outlook, By Process Automation (2018-2027) ($MN)
15 Global AI in Fintech Market Outlook, By Robot-Advisory (2018-2027) ($MN)
16 Global AI in Fintech Market Outlook, By Intelligent Bots (2018-2027) ($MN)
17 Global AI in Fintech Market Outlook, By Personalized Banking (2018-2027) ($MN)
18 Global AI in Fintech Market Outlook, By Hardware (2018-2027) ($MN)
19 Global AI in Fintech Market Outlook, By Deployment (2018-2027) ($MN)
20 Global AI in Fintech Market Outlook, By Back Office (2018-2027) ($MN)
21 Global AI in Fintech Market Outlook, By Front Office (2018-2027) ($MN)
22 Global AI in Fintech Market Outlook, By Application (2018-2027) ($MN)
23 Global AI in Fintech Market Outlook, By Business Analytics and Reporting (2018-2027) ($MN)
24 Global AI in Fintech Market Outlook, By Predictive Analytics (2018-2027) ($MN)
25 Global AI in Fintech Market Outlook, By Regulatory and Compliance Management (2018-2027) ($MN)
26 Global AI in Fintech Market Outlook, By Virtual Assistants (Chatbots) (2018-2027) ($MN)
27 Global AI in Fintech Market Outlook, By Customer Behavioral Analytics (2018-2027) ($MN)
28 Global AI in Fintech Market Outlook, By Insurance Premium (2018-2027) ($MN)
29 Global AI in Fintech Market Outlook, By Credit Scoring (2018-2027) ($MN)
30 Global AI in Fintech Market Outlook, By Asset and Portfolio Management (2018-2027) ($MN)
31 Global AI in Fintech Market Outlook, By Debt Collection (2018-2027) ($MN)
32 Global AI in Fintech Market Outlook, By Risk Investigation (2018-2027) ($MN)
33 Global AI in Fintech Market Outlook, By Quantitative and Asset Management (2018-2027) ($MN)
34 Global AI in Fintech Market Outlook, By Fraud Detection (2018-2027) ($MN)
35 Global AI in Fintech Market Outlook, By Know Your Customer (KYC) (2018-2027) ($MN)
36 Global AI in Fintech Market Outlook, By Accounting (2018-2027) ($MN)
37 Global AI in Fintech Market Outlook, By Customer Service (2018-2027) ($MN)
38 Global AI in Fintech Market Outlook, By P2P lending (2018-2027) ($MN)
39 Global AI in Fintech Market Outlook, By Insurance Support (2018-2027) ($MN)
40 Global AI in Fintech Market Outlook, By Network Security (2018-2027) ($MN)
41 Global AI in Fintech Market Outlook, By Capital Markets (2018-2027) ($MN)
42 Global AI in Fintech Market Outlook, By Other Applications (2018-2027) ($MN)
43 Global AI in Fintech Market Outlook, By Advertising (2018-2027) ($MN)
44 Global AI in Fintech Market Outlook, By Market Research (2018-2027) ($MN)
45 Global AI in Fintech Market Outlook, By Marketing Campaign (2018-2027) ($MN)
46 Global AI in Fintech Market Outlook, By Financial Market Prediction (2018-2027) ($MN)
47 Global AI in Fintech Market Outlook, By End User (2018-2027) ($MN)
48 Global AI in Fintech Market Outlook, By Retail Banking (2018-2027) ($MN)
49 Global AI in Fintech Market Outlook, By Hedge Funds (2018-2027) ($MN)
50 Global AI in Fintech Market Outlook, By Stock Trading Firms (2018-2027) ($MN)
51 Global AI in Fintech Market Outlook, By Investment Banking (2018-2027) ($MN)
52 Global AI in Fintech Market Outlook, By Machine Learning Applications (2018-2027) ($MN)
53 Global AI in Fintech Market Outlook, By Unsupervised Learning (2018-2027) ($MN)
54 Global AI in Fintech Market Outlook, By Supervised Learning (2018-2027) ($MN)
55 Global AI in Fintech Market Outlook, By Reinforced Learning (2018-2027) ($MN)
56 Global AI in Fintech Market Outlook, By Semi-supervised Learning (2018-2027) ($MN)
57 Global AI in Fintech Market Outlook, By Deep Learning (2018-2027) ($MN)
58 Global AI in Fintech Market Outlook, By Natural Language Processing (2018-2027) ($MN)
59 Global AI in Fintech Market Outlook, By Machine Vision (2018-2027) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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