What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in machine learning software category. Our data sources in machine learning software category include;
Machine learning (ML) software enables data scientists and machine learning engineers to efficiently build scalable machine learning models. ML software facilitates development, testing and deployment of ML models.
Machine learning software is also called machine learning system
If you’d like to learn about the ecosystem consisting of Machine Learning Software and others, feel free to check AIMultiple Machine Learning.
AIMultiple is data driven. Evaluate 240 services based on
comprehensive, transparent and objective AIMultiple scores.
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calculated based on objective data.
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Qubole's customers are 100% successful processing an exabyte of data every month, in a time when 85% of big data projects fail to meet expectations.
DataRobot's automated machine learning platform makes it fast and easy to build and deploy accurate predictive models.
Dataiku's single, collaborative platform powers both self-service analytics and the operationalization of machine learning models in production.
Our flagship software is the world's most powerful machine learning platform.
The DigitalGenius AI platform puts customer support on autopilot by understanding conversations, automating repetitive processes and delighting customers.
A deep learning platform for scalable infrastructure, version control and team management.
Dialogflow is an end-to-end, build-once deploy-everywhere development suite.
Appen combines the best of human and machine intelligence to provide high-quality annotated training data
We use the data sources on the side for ranking solutions and awarding badges in machine learning software category. Our data sources in machine learning software category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Qubole
DataRobot
Dataiku
DigitalGenius
Valohai
Taking into account the latest metrics outlined below, these are the current machine learning software market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Qubole
DataRobot
Dataiku
DigitalGenius
scikit-learn
These are the number of queries on search engines which include the brand name of the solution. Compared to other Machine Learning categories, Machine Learning Software is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 76%, 10% more than the average of search queries in this area.
32 employees work for a typical company in this solution category which is 11 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. 59 companies with >10 employees are offering machine learning software. Top 3 products are developed by companies with a total of 700k employees. The largest company building machine learning software is IBM with more than 300,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
DataRobot
Dataiku
Qubole
DigitalGenius
Appen
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 Machine Learning Software companies. The most positive word describing Machine Learning Software is “Easy to use” that is used in 6% of the reviews. The most negative one is “Difficult” with which is used in 3.00% of all the Machine Learning Software reviews.
According to customer reviews, most common company size for machine learning software customers is 1-50 Employees. Customers with 1-50 Employees make up 42% of machine learning software customers. For an average Machine Learning solution, customers with 1-50 Employees make up 19% of total customers.
These scores are the average scores collected from customer reviews for all Machine Learning Software. Machine Learning Software is most positively evaluated in terms of "Overall" but falls behind in "Customer Service".
This category was searched on average for 428 times per month on search engines in 2022. This number has decreased to 390 in 2023. If we compare with other machine learning solutions, a typical solution was searched 623 times in 2022 and this decreased to 590 in 2023.