What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in insight engines category. Our data sources in insight engines category include;
Insight engines, also known as enterprise knowledge discovery and management, are enterprise platforms that make key enterprise insights available to users on demand. Insight engines use natural language processing (NLP) and machine learning methods to help employees and customers find relevant information.
If you’d like to learn about the ecosystem consisting of Insight Engines and others, feel free to check AIMultiple AI Solutions.
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We use the data sources on the side for ranking solutions and awarding badges in insight engines category. Our data sources in insight engines category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
IBM Watson Discovery
Coveo
Google Cloud Search
Elastic Enterprise Search
Expert.ai
Taking into account the latest metrics outlined below, these are the current insight engines market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Coveo
Elastic Enterprise Search
IBM Watson Discovery
Google Cloud Search
Expert.ai
These are the number of queries on search engines which include the brand name of the solution. Compared to other AI Solutions categories, Insight Engines is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 79%, 2% more than the average of search queries in this area.
2,939 employees work for a typical company in this solution category which is 2,918 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. 14 companies with >10 employees are offering insight engines. Top 3 products are developed by companies with a total of 500k employees. The largest company building insight engines is IBM with more than 300,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
IBM Watson Discovery
Coveo
Google Cloud Search
Expert.ai
Stravito
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 Insight Engines companies. The most positive word describing Insight Engines is “Easy to use” that is used in 8% of the reviews. The most negative one is “Difficult” with which is used in 3.00% of all the Insight Engines reviews.
According to customer reviews, most common company size for insight engines customers is 1-50 Employees. Customers with 1-50 Employees make up 50% of insight engines customers. For an average AI Solutions solution, customers with 1-50 Employees make up 49% of total customers.
These scores are the average scores collected from customer reviews for all Insight Engines. Insight Engines is most positively evaluated in terms of "Value For Money" but falls behind in "Likelihood to Recommend".
This category was searched on average for 890 times per month on search engines in 2022. This number has decreased to 720 in 2023. If we compare with other ai solutions solutions, a typical solution was searched 3k times in 2022 and this decreased to 2.9k in 2023.