Anti-Money Laundering Software Market Size to Worth US$ 7.4 Billion by 2030

According to the new research report published by Precedence Research, titled “Anti-Money Laundering Software Market (By Component: Software, Service; By Deployment: On Cloud, On Premise; By Application: Transaction Monitoring, Customer Identity Management, Currency Transaction Reporting, Compliance Management, Others; By Solution; By End User) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022-2030”, the global anti-money laundering software market size is expected to be worth around US$ 7.4 billion by 2030 and is poised to record a yearly growth rate of 11.4% from 2022 to 2030. The study investigates several elements and their consequences on the growth of the all-wheel drive market.

This report focuses on anti-money laundering software market volume and value at the global level, regional level and company level. From a global perspective, this report represents the overall anti-money laundering software market size by analyzing historical data and future prospects. Regionally, this report focuses on several key regions: North America, Europe, the Middle East & Africa, Latin America, etc.

Anti-Money Laundering Software Market Size 2022 To 2030

 The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2030. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

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The study also provieds important advancements in organic and inorganic growth strategies in the worldwide anti-money laundering software market. A lot of corporations are prioritizing new launches, product approvals, and other business expansion techniques. In addition, the report offers profiles of anti-money laundering software market firms and market strategies. Furthermore, the research focuses on top industry participants, providing information such as company profiles, components and services offered, recent financial data, and key developments.

Report Scope of the Anti-Money Laundering Software Market

Report Coverage Details
Market Size in 2022 USD 3.12 Billion
Market Size by 2030 USD 7.4 Billion
Growth Rate from 2022 to 2030 CAGR of 11.4%
Base Year 2021
Forecast Period 2022 to 2030
Segments Covered Component, Deployment, Application, Solution, End User, and Geography

Market Key Players

Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the anti-money laundering software market.

Some of the prominent players in the anti-money laundering software market include  are ACI Worldwide, Inc., Ascent Technology Consulting, Eastnets Holding Ltd., FICO TONBELLER, NICE Actimize, Regulatory DataCorp, Inc., Safe Banking Systems LLC, SAS Institute Inc., Thomson Reuters Corporation, Truth Technologies, Inc., and Verafin Inc.

Market Segmentations 

By Component

  • Software
  • Service

By Deployment

  • On Cloud
  • On Premise

By Application

  • Transaction Monitoring
  • Customer Identity Management
  • Currency Transaction Reporting
  • Compliance Management
  • Others

By Solution

  • Transactional Monitoring
  • KYC (Know Your Customer)
  • Fraud, Risk & Compliance Management
  • Watch-list Screening
  • Data Warehouse Management
  • Analytics & Visualization
  • Alert Management & Reporting
  • Case Management
  • Others

By End User

  • Retail Banking
  • Corporate Banking
  • Private Banking
  • Investment Banking
  • Asset Management
  • Insurance
  • Multiple Banking Services
  • Legal Service Providers

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East & Africa (MEA)

Report Objectives 

  • To define, segment, and project the global market size for anti-money laundering software market
  • To understand the structure of the market by identifying its various sub-segments
  • To provide detailed information about the key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
  • To analyze the micro-markets, with respect to individual growth trends, future prospects, and their contributions to the total market
  • To project the size of the market and its submarkets, in terms of value, with respect to global. (along with their respective key countries)
  • To profile key players and comprehensively analyze their core competencies
  • To understand the competitive landscape and identify major growth strategies adopted by players across the globe.
  • To analyze the competitive developments such as expansions & investments, new product launches, mergers & acquisitions, joint ventures, and agreements 

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Anti-Money Laundering Software Market 

5.1. COVID-19 Landscape: Anti-Money Laundering Software Industry Impact

5.2. COVID 19 – Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Anti-Money Laundering Software Market, By Component

8.1. Anti-Money Laundering Software Market, by Component, 2022-2030

8.1.1. Software

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Service

8.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Anti-Money Laundering Software Market, By Deployment

9.1. Anti-Money Laundering Software Market, by Deployment, 2022-2030

9.1.1. On Cloud

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. On Premise

9.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Anti-Money Laundering Software Market, By Application 

10.1. Anti-Money Laundering Software Market, by Application, 2022-2030

10.1.1. Transaction Monitoring

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Customer Identity Management

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. Currency Transaction Reporting

10.1.3.1. Market Revenue and Forecast (2017-2030)

10.1.4. Compliance Management

10.1.4.1. Market Revenue and Forecast (2017-2030)

10.1.5. Others

10.1.5.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Anti-Money Laundering Software Market, By Solution

11.1. Anti-Money Laundering Software Market, by Solution, 2022-2030

11.1.1. Transactional Monitoring

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. KYC (Know Your Customer)

11.1.2.1. Market Revenue and Forecast (2017-2030)

11.1.3. Fraud, Risk & Compliance Management

11.1.3.1. Market Revenue and Forecast (2017-2030)

11.1.4. Watch-list Screening

11.1.4.1. Market Revenue and Forecast (2017-2030)

11.1.5. Data Warehouse Management

11.1.5.1. Market Revenue and Forecast (2017-2030)

11.1.6. Analytics & Visualization

11.1.6.1. Market Revenue and Forecast (2017-2030)

11.1.7. Alert Management & Reporting

11.1.7.1. Market Revenue and Forecast (2017-2030)

11.1.8. Case Management

11.1.8.1. Market Revenue and Forecast (2017-2030)

11.1.9. Others

11.1.9.1. Market Revenue and Forecast (2017-2030)

Chapter 12. Global Anti-Money Laundering Software Market, By End User

12.1. Anti-Money Laundering Software Market, by End User, 2022-2030

12.1.1. Retail Banking

12.1.1.1. Market Revenue and Forecast (2017-2030)

12.1.2. Corporate Banking

12.1.2.1. Market Revenue and Forecast (2017-2030)

12.1.3. Private Banking

12.1.3.1. Market Revenue and Forecast (2017-2030)

12.1.4. Investment Banking

12.1.4.1. Market Revenue and Forecast (2017-2030)

12.1.5. Asset Management

12.1.5.1. Market Revenue and Forecast (2017-2030)

12.1.6. Insurance

12.1.6.1. Market Revenue and Forecast (2017-2030)

12.1.7. Multiple Banking Services

12.1.7.1. Market Revenue and Forecast (2017-2030)

12.1.8. Legal Service Providers

12.1.8.1. Market Revenue and Forecast (2017-2030)

Chapter 13. Global Anti-Money Laundering Software Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Component (2017-2030)

13.1.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.1.3. Market Revenue and Forecast, by Application (2017-2030)

13.1.4. Market Revenue and Forecast, by Solution (2017-2030)

13.1.5. Market Revenue and Forecast, by End User (2017-2030)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Component (2017-2030)

13.1.6.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.1.6.3. Market Revenue and Forecast, by Application (2017-2030)

13.1.6.4. Market Revenue and Forecast, by Solution (2017-2030)

13.1.6.5. Market Revenue and Forecast, by End User (2017-2030)

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Component (2017-2030)

13.1.7.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.1.7.3. Market Revenue and Forecast, by Application (2017-2030)

13.1.7.4. Market Revenue and Forecast, by Solution (2017-2030)

13.1.7.5. Market Revenue and Forecast, by End User (2017-2030)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Component (2017-2030)

13.2.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.2.3. Market Revenue and Forecast, by Application (2017-2030)

13.2.4. Market Revenue and Forecast, by Solution (2017-2030)

13.2.5. Market Revenue and Forecast, by End User (2017-2030)

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Component (2017-2030)

13.2.6.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.2.6.3. Market Revenue and Forecast, by Application (2017-2030)

13.2.7. Market Revenue and Forecast, by Solution (2017-2030)

13.2.8. Market Revenue and Forecast, by End User (2017-2030)

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Component (2017-2030)

13.2.9.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.2.9.3. Market Revenue and Forecast, by Application (2017-2030)

13.2.10. Market Revenue and Forecast, by Solution (2017-2030)

13.2.11. Market Revenue and Forecast, by End User (2017-2030)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Component (2017-2030)

13.2.12.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.2.12.3. Market Revenue and Forecast, by Application (2017-2030)

13.2.12.4. Market Revenue and Forecast, by Solution (2017-2030)

13.2.13. Market Revenue and Forecast, by End User (2017-2030)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Component (2017-2030)

13.2.14.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.2.14.3. Market Revenue and Forecast, by Application (2017-2030)

13.2.14.4. Market Revenue and Forecast, by Solution (2017-2030)

13.2.15. Market Revenue and Forecast, by End User (2017-2030)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Component (2017-2030)

13.3.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.3.3. Market Revenue and Forecast, by Application (2017-2030)

13.3.4. Market Revenue and Forecast, by Solution (2017-2030)

13.3.5. Market Revenue and Forecast, by End User (2017-2030)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Component (2017-2030)

13.3.6.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.3.6.3. Market Revenue and Forecast, by Application (2017-2030)

13.3.6.4. Market Revenue and Forecast, by Solution (2017-2030)

13.3.7. Market Revenue and Forecast, by End User (2017-2030)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Component (2017-2030)

13.3.8.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.3.8.3. Market Revenue and Forecast, by Application (2017-2030)

13.3.8.4. Market Revenue and Forecast, by Solution (2017-2030)

13.3.9. Market Revenue and Forecast, by End User (2017-2030)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Component (2017-2030)

13.3.10.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.3.10.3. Market Revenue and Forecast, by Application (2017-2030)

13.3.10.4. Market Revenue and Forecast, by Solution (2017-2030)

13.3.10.5. Market Revenue and Forecast, by End User (2017-2030)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Component (2017-2030)

13.3.11.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.3.11.3. Market Revenue and Forecast, by Application (2017-2030)

13.3.11.4. Market Revenue and Forecast, by Solution (2017-2030)

13.3.11.5. Market Revenue and Forecast, by End User (2017-2030)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Component (2017-2030)

13.4.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.4.3. Market Revenue and Forecast, by Application (2017-2030)

13.4.4. Market Revenue and Forecast, by Solution (2017-2030)

13.4.5. Market Revenue and Forecast, by End User (2017-2030)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Component (2017-2030)

13.4.6.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.4.6.3. Market Revenue and Forecast, by Application (2017-2030)

13.4.6.4. Market Revenue and Forecast, by Solution (2017-2030)

13.4.7. Market Revenue and Forecast, by End User (2017-2030)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Component (2017-2030)

13.4.8.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.4.8.3. Market Revenue and Forecast, by Application (2017-2030)

13.4.8.4. Market Revenue and Forecast, by Solution (2017-2030)

13.4.9. Market Revenue and Forecast, by End User (2017-2030)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Component (2017-2030)

13.4.10.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.4.10.3. Market Revenue and Forecast, by Application (2017-2030)

13.4.10.4. Market Revenue and Forecast, by Solution (2017-2030)

13.4.10.5. Market Revenue and Forecast, by End User (2017-2030)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Component (2017-2030)

13.4.11.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.4.11.3. Market Revenue and Forecast, by Application (2017-2030)

13.4.11.4. Market Revenue and Forecast, by Solution (2017-2030)

13.4.11.5. Market Revenue and Forecast, by End User (2017-2030)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Component (2017-2030)

13.5.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.5.3. Market Revenue and Forecast, by Application (2017-2030)

13.5.4. Market Revenue and Forecast, by Solution (2017-2030)

13.5.5. Market Revenue and Forecast, by End User (2017-2030)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Component (2017-2030)

13.5.6.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.5.6.3. Market Revenue and Forecast, by Application (2017-2030)

13.5.6.4. Market Revenue and Forecast, by Solution (2017-2030)

13.5.7. Market Revenue and Forecast, by End User (2017-2030)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Component (2017-2030)

13.5.8.2. Market Revenue and Forecast, by Deployment (2017-2030)

13.5.8.3. Market Revenue and Forecast, by Application (2017-2030)

13.5.8.4. Market Revenue and Forecast, by Solution (2017-2030)

13.5.8.5. Market Revenue and Forecast, by End User (2017-2030)

Chapter 14. Company Profiles

14.1. ACI Worldwide, Inc

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Ascent Technology Consulting

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Eastnets Holding Ltd.

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. FICO TONBELLER

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. NICE Actimize

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. Regulatory DataCorp, Inc.

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Safe Banking Systems LLC

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. SAS Institute Inc.

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Thomson Reuters Corporation

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. Truth Technologies, Inc.

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

Why should you invest in this report?

If you are aiming to enter the global anti-money laundering software market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for anti-money laundering software are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030 so that you can plan your strategies to enter this market accordingly.

Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.

Contact Us:

Mr. Alex

Sales Manager

Call: +1 9197 992 333

Emailsales@precedenceresearch.com

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Prathamesh

I have completed my education in Bachelors in Computer Application. A focused learner having a keen interest in the field of digital marketing, SEO, SMM, and Google Analytics enthusiastic to learn new things along with building leadership skills.

Prathamesh

I have completed my education in Bachelors in Computer Application. A focused learner having a keen interest in the field of digital marketing, SEO, SMM, and Google Analytics enthusiastic to learn new things along with building leadership skills.

View all posts by Prathamesh →

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