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Artificial Intelligence in the Global Fintech Market: Trends, Opportunities and Competitive Analysis 2023-2028

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    Report

  • 150 Pages
  • May 2023
  • Region: Global
  • Lucintel
  • ID: 5793168
The future of artificial intelligence in the global fintech market looks promising with opportunities in the virtual assistant (chatbots), business analytic and reporting, customer behavioural analytic, fraud detection, and quantitative & asset management markets. The global artificial intelligence in fintech market is expected to reach an estimated $4.1 billion by 2028 with a CAGR of 23.6% from 2023 to 2028. The major drivers for this market are the increasing use of AI in the financial sector to identify and stop fraud through online banking platforms and growing trend of digitalization in the financial, banking, and insurance sectors.

Artificial Intelligence in Fintech Market

A more than 150-page report is developed to help in your business decisions. A sample figure with some insights is shown below.

Artificial Intelligence in Fintech Market by Segment

The study includes trends and forecast for artificial intelligence in the global fintech market by component, deployment, application, and region, as follows:

Artificial Intelligence in Fintech Market by Component [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Solutions
  • Services
  • Managed
  • Professional

Artificial Intelligence in Fintech Market by Deployment [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Cloud
  • On-Premise

Artificial Intelligence in Fintech Market by Application [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Virtual Assistant (Chatbots)
  • Business Analytics and Reporting
  • Customer Behavioral Analytics
  • Fraud Detection
  • Quantitative and Asset Management
  • Others

Artificial Intelligence in Fintech Market by Region [Value ($B) Shipment Analysis from 2017 to 2028]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Artificial Intelligence Companies in Fintech Market

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies, artificial intelligence companies in the fintech market cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the artificial intelligence companies in the fintech market profiled in this report include:
  • Microsoft
  • Google
  • Salesforce
  • International Business Machines
  • Amelia U.S

Artificial Intelligence in Fintech Market Insights

  • The publisher forecasts that solution will remain the larger component segment over the forecast period due to the growing demand for AI-based banking software to gather data and extract accurate data that might help the businesses in expansion and will also aid in detecting and opposing financial fraud, while enhancing client relationships
  • Business analytics and reporting is expected to remain the largest application segment due to its increasing significance for improving operational effectiveness, enhancing decision making, and raising business income
  • North America will remain the largest region due to the presence of well-established technological infrastructure and a rising number of start-ups delivering effective financial services in the region

Features of the Artificial Intelligence in Fintech Market

  • Market Size Estimates: Artificial intelligence in fintech market size estimation in terms of value ($B)
  • Trend And Forecast Analysis: Market trends (2017-2022) and forecast (2023-2028) by various segments and regions
  • Segmentation Analysis: Artificial intelligence in fintech market size by various segments, such as by component, deployment, application, and region
  • Regional Analysis: Artificial intelligence in the fintech market breakdown by North America, Europe, Asia Pacific, and the Rest of the World
  • Growth Opportunities: Analysis on growth opportunities in different components, deployments, applications, and regions for the artificial intelligence in fintech market
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape for artificial intelligence in the fintech market
  • Analysis of competitive intensity of the industry based on Porter’s Five Forces model

FAQ

Q1. What is the fintech market size in terms of artificial intelligence usage?
Answer: The global fintech market in terms of artificial intelligence usage is expected to reach an estimated $4.1 billion by 2028.
Q2. What is the growth forecast for artificial intelligence in fintech market?
Answer: The global fintech market in terms of artificial intelligence usage is expected to grow with a CAGR of 23.6% from 2023 to 2028.
Q3. What are the major drivers influencing the growth of the artificial intelligence in fintech market?
Answer: The major drivers for this market are the increasing use of AI in the financial sector to identify and stop fraud through online banking platforms and growing trend of digitalization in the financial, banking, and insurance sectors.
Q4. What are the major segments for artificial intelligence in fintech market?
Answer: The future of artificial intelligence in the fintech market looks promising with opportunities in the virtual assistant (chatbots), business analytic and reporting, customer behavioural analytic, fraud detection, and quantitative & asset management markets.
Q5. Who are the key artificial intelligence companies in the fintech market?
Answer: Some of the key artificial intelligence companies in the fintech market are as follows:
  • Microsoft
  • Google
  • Salesforce
  • International Business Machines
  • Amelia U.S
Q6. Which artificial intelligence in fintech segment will be the largest in future?
Answer: The publisher forecasts that solution will remain the larger component segment over the forecast period due to the growing demand for AI-based banking software to gather data and extract accurate data that might help the businesses in expansion and will also aid in detecting and opposing financial fraud, while enhancing client relationships.
Q7. In artificial intelligence in fintech market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region due to the presence of well-established technological infrastructure and a rising number of start-ups delivering effective financial services in the region.
Q8. Do we receive customization in this report?
Answer: Yes, the publisher provides 10% Customization Without any Additional Cost.

This report answers following 11 key questions

Q.1. What are some of the most promising, high-growth opportunities for artificial intelligence in the global fintech market by component (solution and service), deployment (cloud and on-premise), application (virtual assistant (chatbots), business analytics and reporting, customer behavioural analytics, fraud detection, quantitative and asset management, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last five years and what has its impact been on the industry?


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Table of Contents

1. Executive Summary
2. Artificial Intelligence in Global Fintech Market: Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges
3. Market Trends and Forecast Analysis from 2017 to 2028
3.1: Macroeconomic Trends (2017-2022) and Forecast (2023-2028)
3.2: Artificial Intelligence in the Global Fintech Market Trends (2017-2022) and Forecast (2023-2028)
3.3: Artificial Intelligence in the Global Fintech Market by Component
3.3.1: Solutions
3.3.2: Services
3.4: Artificial Intelligence in the Global Fintech Market by Deployment
3.4.1: Cloud
3.4.2: On-Premise
3.5: Artificial Intelligence in the Global Fintech Market by Application
3.5.1: Virtual Assistant (Chatbots)
3.5.2: Business Analytics and Reporting
3.5.3: Customer Behavioural Analytics
3.5.4: Fraud Detection
3.5.5: Quantitative and Asset Management
3.5.6: Others
4. Market Trends and Forecast Analysis by Region from 2017 to 2028
4.1: Artificial Intelligence in the Global Fintech Market by Region
4.2: Artificial Intelligence in the North American Fintech Market
4.2.1: Artificial Intelligence in the North American Fintech Market by Component: Solution and Service
4.2.2: Artificial Intelligence in the North American Fintech Market by Application: Virtual Assistant (Chatbots), Business Analytics and Reporting, Customer Behavioural Analytics, Fraud Detection, Quantitative and Asset Management, and Others
4.3: Artificial Intelligence in the European Fintech Market
4.3.1: Artificial Intelligence in the European Fintech Market by Component: Solution and Service
4.3.2: Artificial Intelligence in the European Fintech Market by Application: Virtual Assistant (Chatbots), Business Analytics and Reporting, Customer Behavioural Analytics, Fraud Detection, Quantitative and Asset Management, and Others
4.4: Artificial Intelligence in the APAC Fintech Market
4.4.1: Artificial Intelligence in the APAC Fintech Market by Component: Solution and Service
4.4.2: Artificial Intelligence in the APAC Fintech Market by Application: Virtual Assistant (Chatbots), Business Analytics and Reporting, Customer Behavioural Analytics, Fraud Detection, Quantitative and Asset Management, and Others
4.5: Artificial Intelligence in the ROW Fintech Market
4.5.1: Artificial Intelligence in the ROW Fintech Market by Component: Solution and Service
4.5.2: Artificial Intelligence in the ROW Fintech Market by Application: Virtual Assistant (Chatbots), Business Analytics and Reporting, Customer Behavioural Analytics, Fraud Detection, Quantitative and Asset Management, and Others
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for Artificial Intelligence in the Global Fintech Market by Component
6.1.2: Growth Opportunities for Artificial Intelligence in the Global Fintech Market by Deployment
6.1.3: Growth Opportunities for Artificial Intelligence in the Global Fintech Market by Application
6.1.4: Growth Opportunities for Artificial Intelligence in the Global Fintech Market by Region
6.2: Emerging Trends in Artificial Intelligence in the Global Fintech Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of Artificial Intelligence in the Global Fintech Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Fintech Market in terms of Artificial Intelligence Usage
6.3.4: Certification and Licensing
7. Company Profiles of Leading Players
7.1: Microsoft
7.2: Google
7.3: Salesforce
7.4: International Business Machines
7:5: Amelia U.S.

Companies Mentioned

  • Microsoft
  • Google
  • Salesforce
  • International Business Machines
  • Amelia U.S.

Methodology

The analyst has been in the business of market research and management consulting since 2000 and has published over 600 market intelligence reports in various markets/applications and served over 1,000 clients worldwide. Each study is a culmination of four months of full-time effort performed by the analyst team. The analysts used the following sources for the creation and completion of this valuable report:

  • In-depth interviews of the major players in the market
  • Detailed secondary research from competitors’ financial statements and published data
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of professionals, who have analyzed and tracked the market over the years.

Extensive research and interviews are conducted in the supply chain of the market to estimate market share, market size, trends, drivers, challenges and forecasts.

Thus, the analyst compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. The analyst then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process.

 

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