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Amazon Lex mindshare

As of September 2025, the mindshare of Amazon Lex in the Chatbot Development Platforms category stands at 18.7%, up from 14.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Chatbot Development Platforms Market Share Distribution
ProductMarket Share (%)
Amazon Lex18.7%
Google Dialogflow25.9%
IBM Watsonx Assistant17.0%
Other38.400000000000006%
Chatbot Development Platforms
 
 
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Valuable Features

Room for Improvement

Pricing

Top industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
9%
Healthcare Company
9%
University
6%
Insurance Company
4%
Retailer
4%
Government
4%
Transportation Company
4%
Educational Organization
3%
Real Estate/Law Firm
3%
Wholesaler/Distributor
3%
Non Profit
2%
Comms Service Provider
2%
Legal Firm
2%
Logistics Company
2%
Performing Arts
2%
Media Company
2%
Energy/Utilities Company
1%
Renewables & Environment Company
1%
Marketing Services Firm
1%
Construction Company
1%
Consumer Goods Company
1%

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Amazon Lex Reviews Summary
Author infoRatingReview Summary
Software Developer A2 at a tech vendor with 10,001+ employees4.0No summary available
Amazon connect/service cloud voice at Cognizant4.5I use Amazon Lex for chatbot functionality, leveraging its integration of generative AI. While the integration is valuable, the solution's utterances need improvement. Mispronunciations by customers often lead to errors. I deploy Lex using Amazon Web Services (AWS).
Director - Cloud Architecture at a computer software company with 10,001+ employees4.5No summary available
System Engineer at a tech vendor with 10,001+ employees4.5I find Amazon Lex valuable for its natural language processing, allowing voice inputs and easy training for business needs. It supports multiple dialects and is beginner-friendly, but errors can occur during development. It is hosted on AWS.
Senior Associate Consultant at a consultancy with 10,001+ employees4.5I use Amazon Lex to create and manage conversational interfaces for intent recognition and fulfillment in applications. Its valuable feature is integrating advanced AI models like Gen AI. Improvements could enhance its natural language understanding and voice integration capabilities.
Data Scientist at a tech services company with 201-500 employees3.5I used Amazon Lex to create a chatbot for our company's customer support and found it very user-friendly, requiring minimal coding. However, it can become expensive depending on the workload. We haven't explored other solutions or cloud providers.