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Cohere mindshare

As of March 2026, the mindshare of Cohere in the AI Development Platforms category stands at 1.8%, up from 0.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
Cohere1.8%
Google Vertex AI8.4%
Hugging Face6.9%
Other82.9%
AI Development Platforms

PeerResearch reports based on Cohere reviews

TypeTitleDate
CategoryAI Development PlatformsMar 29, 2026Download
ProductReviews, tips, and advice from real usersMar 29, 2026Download
ComparisonCohere vs Google Vertex AIMar 29, 2026Download
ComparisonCohere vs Azure OpenAIMar 29, 2026Download
ComparisonCohere vs Hugging FaceMar 29, 2026Download
Suggested products
TitleRatingMindshareRecommending
Google Vertex AI4.18.4%100%15 interviewsAdd to research
Hugging Face4.16.9%100%13 interviewsAdd to research
 
 
Key learnings from peers
Last updated Mar 29, 2026

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise6
By reviewers
By visitors reading reviews
Company SizeCount
Small Business34
Midsize Enterprise15
Large Enterprise56
By visitors reading reviews

Top industries

By visitors reading reviews
Manufacturing Company
10%
Marketing Services Firm
9%
Financial Services Firm
7%
Educational Organization
7%
Comms Service Provider
7%
University
6%
Government
6%
Computer Software Company
6%
Performing Arts
5%
Legal Firm
5%
Real Estate/Law Firm
4%
Construction Company
4%
Retailer
4%
Healthcare Company
4%
Media Company
2%
Insurance Company
2%
Logistics Company
2%
Non Tech Company
2%
Pharma/Biotech Company
2%
Transportation Company
2%
Wellness & Fitness Company
2%
Hospitality Company
1%
Wholesaler/Distributor
1%
Leisure / Travel Company
1%
Aerospace/Defense Firm
1%
Renewables & Environment Company
1%
Outsourcing Company
1%

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Related questions

 
Cohere Reviews Summary
Author infoRatingReview Summary
Engineer at Roche4.0I've used Cohere's Embed English v3.0 for RAG tasks and found it faster, cheaper, and more responsive than alternatives, though similarity distances need improvement; overall, it's been a time-saving and cost-effective solution for my needs.
Sr Test engineer at a tech vendor with 10,001+ employees3.5I've used Cohere for intelligent test automation with TypeScript and Selenium; it efficiently generates tests and documentation, significantly reducing time, though improvements in Oracle-specific matching accuracy and large dataset handling are still needed.
Senior Solution Architect at Hitachi Systems India Private Ltd4.0We've used Cohere's command model via AWS Bedrock for a year to support enterprise NLP tasks; it offers strong data privacy, consistency, and instruction handling, though creativity and dashboard analytics could be improved.
Founding Engineer at Agentize.AI4.0I've found Cohere's reranking models fast and reliable for our GenAI products, though I'd appreciate better evaluation tools to demonstrate quality improvements to my clients; overall, it's a solid solution we've used effectively.
DevOps Engineer at CHI Software4.5I use Cohere's embedding model to build vector databases and process customer requests efficiently; it's reliable and integrates well with Azure, though it lacks transparency in metrics and could improve feedback during the embedding process.
Ai engineer at a tech vendor with 10,001+ employees5.0I found Cohere excellent for embeddings, outperforming AWS Titan for our chatbot project with 31 PDFs. It's stable, scalable, and easy to integrate, leading to project success and client satisfaction. I highly recommend it.
Manager at a insurance company with 51-200 employees3.5I've used Cohere for two months with AWS, primarily for English chat completion and summarization. It's easy to integrate and reliable, but I’d like OCR features. Overall, it performs well, though ROI hasn't been measurable yet.
Senior Data Scientist at a tech vendor with 10,001+ employees4.0I've used Cohere for two years to support Retrieval Augmented Generation, particularly in information retrieval, and its Reranking model improved my system's performance by 10%; it's stable, scalable, and customer support is satisfactory.