What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in anti-money laundering software category. Our data sources in anti-money laundering software category include;
Anti-money laundering (AML) software helps financial institutions to detect people who generate income through fraudulent activities. AML software prevents organizations from doing business with fraudulent organizations that may impact their profitability and damage their reputation.
If you’d like to learn about the ecosystem consisting of Anti-Money Laundering Software and others, feel free to check AIMultiple Finance.
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Shufti Pro is an identity verification service provider. It offers KYC and AML services globally. It uses both human intelligence and artificial intelligence in its technology to provide highly effect ... Show More
We use the data sources on the side for ranking solutions and awarding badges in anti-money laundering software category. Our data sources in anti-money laundering software category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Refinitiv World-Check Risk Intelligence
Sageworks Lending Solution
Trulioo
DueDil
ComplyAdvantage AML
Taking into account the latest metrics outlined below, these are the current anti-money laundering software market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
FileInvite
Refinitiv World-Check Risk Intelligence
DueDil
Trulioo
Sanction Scanner
These are the number of queries on search engines which include the brand name of the solution. Compared to other Finance categories, Anti-Money Laundering Software is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 88%, 15% more than the average of search queries in this area.
365 employees work for a typical company in this solution category which is 344 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 54 companies with >10 employees are offering anti-money laundering software. Top 3 products are developed by companies with a total of 20k employees. The largest company building anti-money laundering software is Pitney Bowes with more than 10,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
Sageworks Lending Solution
Refinitiv World-Check Risk Intelligence
ComplyAdvantage AML
Trulioo
Verafin
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
This data is collected from customer reviews for all Anti-Money Laundering Software companies. The most positive word describing Anti-Money Laundering Software is “Easy to use” that is used in 11% of the reviews. The most negative one is “Difficult” with which is used in 3.00% of all the Anti-Money Laundering Software reviews.
According to customer reviews, most common company size for anti-money laundering software customers is 1-50 Employees. Customers with 1-50 Employees make up 44% of anti-money laundering software customers. For an average Finance solution, customers with 1-50 Employees make up 20% of total customers.
These scores are the average scores collected from customer reviews for all Anti-Money Laundering Software. Anti-Money Laundering Software is most positively evaluated in terms of "Overall" but falls behind in "Likelihood to Recommend".
This category was searched on average for 1.2k times per month on search engines in 2022. This number has decreased to 1k in 2023. If we compare with other finance solutions, a typical solution was searched 792 times in 2022 and this increased to 880 in 2023.