Artificial Intelligence
AI in Fintech Market to Reach US$ 54 Billion, Globally, by 2032 at 16.5% CAGR: Future Market Insights, Inc.
NEWARK, Del, June 10, 2022 (GLOBE NEWSWIRE) — The global AI in fintech market is estimated at US$ 10.1 Billion in 2021 and is projected to procure US$ 11.76 Billion by 2022 according to a report published by ESOMAR-certified Future Market Insights. The market is anticipated to garner US$ 54 Billion by 2032 while recording a CAGR of 16.5% during the forecast period from 2022 to 2032. Expansion of the market can be attributed to the increasing emphasis on customer safety against cyber and banking frauds across various developing countries.
From 2017 to 2021, the market flourished at a 16% CAGR. Growing application in the business analytics and reporting segment is another salient factor augmenting the industry growth in the assessment period. The managed service is likely to grow quickly owing to its help in administering AI-enabled apps in fintech. Fintech start-ups are using AI to provide professional services expected to drive the development of the segment.
On the contrary, owing to the rising cases of leakage of private information and cloning of debit cards is expected to be the major factor hindering the market expansion. Moreover, the proper integration and analysis of a huge amount of data makes the process even more complex, which is another factor impeding the industry expansion in the forecast period.
Key Takeaways from the Market Study
- AI in fintech for business analytics and reporting captured a 32% market share, documenting a CAGR of 16% throughout the forecast period
- On-premise segment to expand at a CAGR of 17% during the forecast period
- North America is expected to secure US$ 35 Billion by 2032, while expanding at a CAGR of 16.5%
- Asia Pacific to record a CAGR of 16.5% during the forecast period
- Global market for AI in fintech to surge 4.6x from 2022 to 2032
“The global AI in Fintech market is expected to show a remarkable growth in the forecast period owing to the increasing emphasis on customer’s account safety against cyber and banking frauds,” says an FMI analyst.
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Key Segments Covered In The AI In Fintech Industry Survey
AI in Fintech Market by Components:
- AI in Fintech Solutions
- AI in Fintech Services
- Managed
- Professional
AI in Fintech Market by Deployment:
- Cloud-based AI in Fintech
- On-premise AI in Fintech
AI in Fintech Market by Application:
- AI in Fintech across Virtual Assistants
- AI in Fintech across Business Analytics and Reporting
- AI in Fintech across Customer Behavioural Analytics
- AI in Fintech across Fraud Detection
- AI in Fintech across Quantitative and Asset Management
- AI in Fintech across Other Applications
AI in Fintech Market by Region:
- North America AI in Fintech Market
- Latin America AI in Fintech Market
- Europe AI in Fintech Market
- Asia Pacific AI in Fintech Market
- Middle East & Africa AI in Fintech Market
Competitive Landscape
Key players in the global AI in the Fintech market include Microsoft, Google LLC, Salesforce, Inc., International Business Machines Corp., Amelia U.S. LLC, Nuance Communications, Inc., ComplyAdvantage.com, Narrative Science, Affirm, Inc., Upstart Network, Inc., Instructure, Inc., Intel, Inbenta Technologies, Amazon Web Services, Oracle, among others. Some of the recent key developments among the players are:
- In October 2021, Tech giant Microsoft Wednesday launched a new program Microsoft AI Innovation for nurturing and scaling startups that are leveraging Artificial Intelligence (AI).
- In April 2022, Conversational engagement platform Gupshup acquired Active.Ai, a conversational AI startup used by banks and fintech firms in all-cash deals.
- In May 2022, Salesforce has agreed to buy Troops.ai, which provides a revenue communications solution that works with sales velocity, forecasting, visibility, and collaboration. Troops have been designing tools for delivering real-time insights from various systems of record, like Salesforce, to engagement places Like Slack.
More Valuable Insights Available
Future Market Insights, in its new offering, presents an unbiased analysis of the global AI in the Fintech market, presenting historical market data (2017-2021) and forecast statistics for the period of 2022-2032.
The study reveals essential insights based on component (solutions, services), deployment (cloud and on-premise and, application (virtual assistant, business analytics and reporting, customer behavioural analytics, fraud detection, quantitative and asset management and others) across five major regions (North America, Latin America, Europe, Asia Pacific, and Middle East & Africa).
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Table of Content
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. Value Chain Analysis
3.5.1. Profit Margin Analysis
3.5.2. Service Providers
3.6. PESTLE and Porter’s Analysis
3.7. Regulatory Landscape
3.7.1. By Key Regions
3.7.2. By Key Countries
3.8. Regional Parent Market Outlook
4. Global AI in Fintech Market Analysis 2017-2021 and Forecast, 2022-2032
4.1. Historical Market Size Value (US$ Mn) Analysis, 2017-2021
4.2. Current and Future Market Size Value (US$ Mn) Projections, 2022-2032
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global AI in Fintech Market Analysis 2017-2021 and Forecast 2022-2032, By Components
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Mn) Analysis By Components, 2017-2021
5.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Components, 2022-2032
5.3.1. Solutions
5.3.2. Services
5.3.2.1. Managed Services
5.3.2.2. Professional Services
5.4. Y-o-Y Growth Trend Analysis By Components, 2017-2021
5.5. Absolute $ Opportunity Analysis By Components, 2022-2032
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