We detected 20,773 companies using Google Cloud. The most common industry is Software Development (11%) and the most common company size is 11-50 employees (44%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists.
Note: We only track companies that use Google Cloud to host a piece of critical infrastructure (ie. observability, analytics, data warehouse, VPN, etc). We do not track companies that host their website or application on Google Cloud, as we're unable to determine if they used a 3rd party tool that happened to use Google Cloud
📊 Who usually uses Google Cloud and for what use cases?
Source: Analysis of job postings that mention Google Cloud (using the Bloomberry Jobs API)
Job titles that mention Google Cloud
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Based on an analysis of job titles from postings that mention Google Cloud.
Job Title
Share
Director, Software Engineering
10%
Director, Information Technology
9%
Backend Engineer
9%
DevOps Engineer (SRE)
7%
I found that Google Cloud purchasing decisions are split between engineering leadership (19% Directors of Software Engineering and IT) and business technology leaders driving AI transformation. The strategic priorities center on three areas: migrating legacy infrastructure to cloud-native architectures, enabling AI and machine learning capabilities at scale, and building real-time data platforms. Leadership roles emphasize partnership with Google directly, suggesting enterprise-level commitments requiring executive buy-in.
The day-to-day users are predominantly backend engineers, DevOps/SRE professionals, and data engineers who work hands-on with GCP services. I noticed these practitioners focus on Kubernetes orchestration, BigQuery for analytics, Pub/Sub for event streaming, and increasingly, integrating Google's AI models into production applications. They build microservices architectures, manage CI/CD pipelines, and maintain cloud infrastructure that processes millions of transactions daily.
The pain points reveal companies racing to modernize before competitors do. Descriptions emphasize "transforming the finance industry," "revolutionizing customer relationship management through advanced AI," and building "AI-powered supply chain intelligence solutions." One retail posting seeks someone to "demystify advertisement performance data" while financial services roles stress "trusted AI" and "faster innovation." The recurring theme is urgency around AI enablement, with organizations needing both the infrastructure to support foundation models and the talent to operationalize them quickly.
👥 What types of companies use Google Cloud?
Source: Analysis of Linkedin bios of 20,773 companies that use Google Cloud
I noticed that Google Cloud's typical customer base is remarkably diverse, spanning everything from construction firms and accounting practices to libraries and non-profits. These aren't predominantly tech companies. Instead, they're traditional service businesses, educational institutions, healthcare providers, law firms, and small manufacturers. Many are in industries you wouldn't immediately associate with cloud technology: a construction company building luxury homes, a drug testing administrator for sports leagues, a Finnish volleyball federation, a catering company in Los Angeles.
The overwhelming majority are small to mid-sized businesses with 11-50 employees, though some range up to 200. Very few show venture funding, and when they do, it's modest (seed rounds under $2M). Many are explicitly family-owned or have operated for 30-40+ years. These are established, stable businesses, not high-growth startups racing to scale. They're at a maturity stage where they need reliable infrastructure but lack dedicated IT teams.
🔧 What other technologies do Google Cloud customers also use?
Source: Analysis of tech stacks from 20,773 companies that use Google Cloud
Commonly Paired Technologies
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Shows how much more likely Google Cloud customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that Google Cloud users are digital-first companies with sophisticated marketing operations and modern development practices. The strong presence of HubSpot Marketing Hub and LinkedIn Ads, combined with analytics tools like Google Analytics and Yoast, tells me these are B2B companies investing heavily in inbound marketing and SEO. They're not just using cloud infrastructure, they're building entire growth engines around data and content.
The pairing of Grafana with Google Cloud is particularly revealing. Grafana appears 69 times more often among Google Cloud users, suggesting these companies have engineering teams that prioritize observability and monitoring. When I see this combined with Atlassian Cloud, it points to organizations running agile development processes with distributed teams. These aren't companies just dipping their toes into cloud infrastructure. They're running production workloads that require real-time monitoring. The LinkedIn Ads and HubSpot combination reinforces that these are B2B companies targeting professional audiences with sophisticated nurture campaigns.
My analysis shows these are marketing-led growth companies, likely in the scale-up phase rather than early startup or enterprise. They've moved past basic infrastructure needs and are investing in the marketing stack to drive predictable revenue. The Yoast presence (appearing 13 times more frequently) suggests they're committed to organic search as a primary acquisition channel, which requires both patience and resources. Companies using this stack are probably generating between $5-50 million in revenue, with dedicated marketing teams of 5-15 people who need tools that integrate well together.
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