Artificial Intelligence in Fintech Market by Components, Deployment, Application

Description

List of Tables

[184 Pages Report] The Artificial Intelligence in Fintech Market size was estimated at USD 39.66 billion in 2023 and expected to reach USD 46.51 billion in 2024, at a CAGR 17.74% to reach USD 124.44 billion by 2030.

Global Artificial Intelligence in Fintech Market

KEY MARKET STATISTICS
Base Year [2023]	USD 39.66 billion
Estimated Year [2024]	USD 46.51 billion
Forecast Year [2030]	USD 124.44 billion
CAGR (%)	17.74%

Artificial Intelligence in Fintech Market - IMG1

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Fintech Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Fintech Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Fintech Market, highlighting leading vendors and their innovative profiles. These include Affirm, Inc., Amazon Web Services Inc., Amelia US LLC, Canoe Software, Cape Analytics, LLC, CognitiveScale Inc., ComplyAdvantage Company, Core Scientific, Inc., Enova International, Inc., Google LLC, Gupshup Inc., HighRadius Corporation, Intel Corporation, International Business Machines Corporation, Kasisto, Inc., Microsoft Corporation, MindBridge Analytics Inc., MQD B.V., Numerai Company, Oracle Corporation, SESAMm SAS, Signifyd, Inc., TABLEAU SOFTWARE, LLC by Salesforce, Inc., Vectra AI, Inc., and ZestFinance Inc..

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Fintech Market to forecast the revenues and analyze trends in each of the following sub-markets:

Components
- Services
  - Managed
  - Professional
- Solutions
  - Data Discovery
  - Data Quality & Data Governance
  - Data Visualization
Deployment
- On-Cloud
- On-Premise
Application
- Business Analytics & Reporting
  - Predictive Analytics
  - Regulatory & Compliance Management
- Customer Behavioral Analytics
  - Asset & Portfolio Management
  - Credit Scoring
  - Debt Collection
  - Insurance Premium
- Fraud Detection
- Quantitative & Asset Management
- Virtual Assistant
Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam
- Europe, Middle East & Africa
  - Denmark
  - Egypt
  - Finland
  - France
  - Germany
  - Israel
  - Italy
  - Netherlands
  - Nigeria
  - Norway
  - Poland
  - Qatar
  - Russia
  - Saudi Arabia
  - South Africa
  - Spain
  - Sweden
  - Switzerland
  - Turkey
  - United Arab Emirates
  - United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Artificial Intelligence in Fintech Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Fintech Market?

3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Fintech Market?

4. What is the market share of the leading vendors in the Artificial Intelligence in Fintech Market?

5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Fintech Market?

Product Code: MRR-0D217D5AD710

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

4.1. Introduction
4.2. Artificial Intelligence in Fintech Market, by Region

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Increasing adoption of process automation in financial institutions
  - 5.1.1.2. Rising digitization initiatives by governments
  - 5.1.1.3. Adoption of AI in improving customer experience in fintech
- 5.1.2. Restraints
  - 5.1.2.1. Limited availability of data sets
- 5.1.3. Opportunities
  - 5.1.3.1. Expanding investments in fintech startups and companies
  - 5.1.3.2. Emerging adoption of predictive analysis for improving credit score
- 5.1.4. Challenges
  - 5.1.4.1. Concerns related to data privacy and security
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter's Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework

6. Artificial Intelligence in Fintech Market, by Components

6.1. Introduction
6.2. Services
- 6.3.1. Managed
- 6.3.2. Professional
6.3. Solutions
- 6.4.1. Data Discovery
- 6.4.2. Data Quality & Data Governance
- 6.4.3. Data Visualization

7. Artificial Intelligence in Fintech Market, by Deployment

7.1. Introduction
7.2. On-Cloud
7.3. On-Premise

8. Artificial Intelligence in Fintech Market, by Application

8.1. Introduction
8.2. Business Analytics & Reporting
- 8.3.1. Predictive Analytics
- 8.3.2. Regulatory & Compliance Management
8.3. Customer Behavioral Analytics
- 8.4.1. Asset & Portfolio Management
- 8.4.2. Credit Scoring
- 8.4.3. Debt Collection
- 8.4.4. Insurance Premium
8.4. Fraud Detection
8.5. Quantitative & Asset Management
8.6. Virtual Assistant

9. Americas Artificial Intelligence in Fintech Market

9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States

10. Asia-Pacific Artificial Intelligence in Fintech Market

10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam

11. Europe, Middle East & Africa Artificial Intelligence in Fintech Market

11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom

12. Competitive Landscape

12.1. FPNV Positioning Matrix
12.2. Market Share Analysis, By Key Player
12.3. Competitive Scenario Analysis, By Key Player

13. Competitive Portfolio

13.1. Key Company Profiles
- 13.1.1. Affirm, Inc.
- 13.1.2. Amazon Web Services Inc.
- 13.1.3. Amelia US LLC
- 13.1.4. Canoe Software
- 13.1.5. Cape Analytics, LLC
- 13.1.6. CognitiveScale Inc.
- 13.1.7. ComplyAdvantage Company
- 13.1.8. Core Scientific, Inc.
- 13.1.9. Enova International, Inc.
- 13.1.10. Google LLC
- 13.1.11. Gupshup Inc.
- 13.1.12. HighRadius Corporation
- 13.1.13. Intel Corporation
- 13.1.14. International Business Machines Corporation
- 13.1.15. Kasisto, Inc.
- 13.1.16. Microsoft Corporation
- 13.1.17. MindBridge Analytics Inc.
- 13.1.18. MQD B.V.
- 13.1.19. Numerai Company
- 13.1.20. Oracle Corporation
- 13.1.21. SESAMm SAS
- 13.1.22. Signifyd, Inc.
- 13.1.23. TABLEAU SOFTWARE, LLC by Salesforce, Inc.
- 13.1.24. Vectra AI, Inc.
- 13.1.25. ZestFinance Inc.
13.2. Key Product Portfolio

14. Appendix

14.1. Discussion Guide
14.2. License & Pricing