Latin America Generative AI in Financial Services Market Size & Outlook, 2030

Revenue, 2023 (US$M)

$112.9

Forecast, 2030 (US$M)

$1,137.3

CAGR, 2024 - 2030

39.1%

Report Coverage

Latin America

Latin America generative ai in financial services market, 2018-2030 (US$M)

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Global Generative AI in Financial Services Industry Outlook

North America Generative AI In Financial Services Market Outlook

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Asia Pacific Generative AI In Financial Services Market Outlook

MEA Generative AI In Financial Services Market Outlook

Latin America generative ai in financial services market highlights

The Latin America generative ai in financial services market generated a revenue of USD 112.9 million in 2023.
The market is expected to grow at a CAGR of 39.1% from 2024 to 2030.
In terms of segment, risk management was the largest revenue generating application in 2023.
Risk Management is the most lucrative application segment registering the fastest growth during the forecast period.

Latin America data book summary

Market revenue in 2023	USD 112.9 million
Market revenue in 2030	USD 1,137.3 million
Growth rate	39.1% (CAGR from 2023 to 2030)
Largest segment	Risk management
Fastest growing segment	Risk Management
Historical data covered	2018 - 2022
Base year for estimation	2023
Forecast period covered	2024 - 2030
Quantitative units	Revenue in USD million
Market segmentation	Risk Management
Key market players worldwide	Amazon Web Services, Broadridge, C3.ai Inc Ordinary Shares - Class A, Alphabet Inc Class A, International Business Machines Corp, Intel Corp, Kasisto, Microsoft Corp, Narrative Science, Salesforce Inc

Other key industry trends

In terms of revenue, Latin America region accounted for 6.7% of the global generative ai in financial services market in 2023.
Globally, North America is projected to lead the regional market in terms of revenue in 2030.
Asia Pacific is the fastest growing regional market and is projected to reach USD 3,492.0 million by 2030.

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Generative AI in Financial Services Market Scope

Generative ai in financial services market segmentation & scope

Application

Risk Management

Fraud Detection

Credit Scoring

Forecasting & Reporting

Customer Service and Chatbots

On-premises

Cloud-based

End Use

Retail Banking

Corporate Banking

Insurance Companies

Investment Firms

Hedge Funds

FinTech Companies

Regions

Latin America

Europe

North America

Middle East & Africa

Asia Pacific

Countries

Argentina

Brazil

Denmark

France

Germany

Italy

Norway

Spain

Sweden

Canada

Mexico

U.S.

Kuwait

Saudi Arabia

South Africa

UAE

Australia

China

India

Japan

South Korea

Thailand

Generative AI in Financial Services Market Companies

Name	Profile	# Employees	HQ	Website

Latin America generative ai in financial services market outlook

The databook is designed to serve as a comprehensive guide to navigating this sector. The databook focuses on market statistics denoted in the form of revenue and y-o-y growth and CAGR across the globe and regions. A detailed competitive and opportunity analyses related to generative ai in financial services market will help companies and investors design strategic landscapes.

Risk management was the largest segment with a revenue share of 100% in 2023. Horizon Databook has segmented the Latin America generative ai in financial services market based on risk management covering the revenue growth of each sub-segment from 2018 to 2030.

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Our clientele includes a mix of generative ai in financial services market companies, investment firms, advisory firms & academic institutions.
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Approximately 65% of our revenue is generated working with competitive intelligence & market intelligence teams of market participants (manufacturers, service providers, etc.).
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Horizon Databook provides a detailed overview of continent-level data and insights on the Latin America generative ai in financial services market , including forecasts for subscribers. This continent databook contains high-level insights into Latin America generative ai in financial services market from 2018 to 2030, including revenue numbers, major trends, and company profiles.

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