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Google Cloud mindshare

Product category:
As of June 2026, the mindshare of Google Cloud in the Infrastructure as a Service Clouds (IaaS) category stands at 4.4%, down from 8.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Infrastructure as a Service Clouds (IaaS) Mindshare Distribution
ProductMindshare (%)
Google Cloud4.4%
Amazon AWS15.1%
Microsoft Azure8.6%
Other71.9%
Infrastructure as a Service Clouds (IaaS)

PeerResearch reports based on Google Cloud reviews

TypeTitleDate
CategoryInfrastructure as a Service Clouds (IaaS)Jun 17, 2026Download
ProductReviews, tips, and advice from real usersJun 17, 2026Download
ComparisonGoogle Cloud vs Microsoft AzureJun 17, 2026Download
ComparisonGoogle Cloud vs Amazon AWSJun 17, 2026Download
ComparisonGoogle Cloud vs Akamai Connected Cloud (Linode)Jun 17, 2026Download
Suggested products
TitleRatingMindshareRecommending
Amazon AWS4.215.1%93%259 interviewsAdd to research
Microsoft Azure4.28.6%95%324 interviewsAdd to research
 
 
Key learnings from peers
Last updated Jun 14, 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 Business39
Midsize Enterprise6
Large Enterprise32
By reviewers
By visitors reading reviews
Company SizeCount
Small Business208
Midsize Enterprise98
Large Enterprise382
By visitors reading reviews

Top industries

By visitors reading reviews
Manufacturing Company
15%
Financial Services Firm
12%
Comms Service Provider
10%
Construction Company
6%
University
6%
Outsourcing Company
5%
Government
4%
Healthcare Company
4%
Computer Software Company
3%
Educational Organization
3%
Retailer
3%
Media Company
3%
Marketing Services Firm
3%
Transportation Company
2%
Insurance Company
2%
Performing Arts
2%
Real Estate/Law Firm
2%
Legal Firm
2%
Energy/Utilities Company
2%
Logistics Company
2%
Consumer Goods Company
1%
Wholesaler/Distributor
1%
Non Profit
1%
Hospitality Company
1%
Recreational Facilities/Services Company
1%
Pharma/Biotech Company
1%
Recruiting/Hr Firm
1%
Renewables & Environment Company
1%

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Related questions

 
Google Cloud Reviews Summary
Author infoRatingReview Summary
Solution Architect at a tech vendor with 10,001+ employees4.0I find Google Cloud excellent for reducing on-prem footprint and its GKE is reliable. However, I dislike being charged extra for deep troubleshooting logs and storage for basic services, which should be included. Overall, it's a stable and scalable platform.
Data Consultant at a comms service provider with 501-1,000 employees4.5I primarily use Google Cloud, especially Vertex AI and Cloud Functions, for AI research and invoice data extraction, which significantly saves time over manual processes. It's stable and scalable, though usability could improve. Overall, I rate it nine out of ten.
IT Service Delivery Manager at NGK5.0I've used Google Cloud for six years to manage infrastructure and virtual machines, finding it scalable, cost-effective, and easy to use, with strong support. We're also exploring data analytics using Looker Studio for our business intelligence projects.
Senior Account Lead at a tech services company with 11-50 employees4.5I’ve used Google Cloud for four years, mainly for enterprise search with BigQuery and Agent Space. It’s stable, scalable, and cost-effective, though direct support and early product releases need improvement. I'd rate it a nine overall.
Engineering Manager at a hospitality company with 11-50 employees3.5We've used Google Cloud for hosting our platform with Kubernetes and managed PostgreSQL, but I prefer AWS for its maturity and ease. Google Cloud works well, though pricing and regional support could definitely be improved.
RPA developer at a healthcare company with 10,001+ employees4.5I've used Google Cloud with BigQuery for three months and appreciate its cloud-based convenience and flexibility, though adjusting from SQL Server's structure took time; it's stable, scalable, and simplifies data handling without maintenance hassles.
Technology Manager at Publicis Sapient4.0We primarily use Google Cloud for deploying applications, benefiting from features like Kubernetes integration and Terraform. While scaling and flexibility have improved, logging needs enhancement. Production time has decreased, but the interface could be more intuitive for non-technical users.
Presales Engineer at 2P - Perfect Presentation4.0I offer a monitoring solution for virtual machines in GCP, providing visibility for cloud environments. GCP's tools lack comprehensive performance analysis for mixed technologies. More hypervisors would be beneficial as current regional services are limited and need improvement.