Google Cloud Platform users list

Email list of companies using Google Cloud Platform

Q: How many companies use Google Cloud Platform?

Data InfoMetrix tracks 243,372 companies using Google Cloud Platform, with 1,625,700 verified contacts at those accounts as of October 2026. The largest groups are High-Growth Tech & AI Startups, Digital Media & Streaming and AdTech & MarTech Platforms. Counts are estimates from our database and market research, so ask us for a live count for your exact criteria.

Q: Who buys and manages Google Cloud Platform inside a company?

Google Cloud Platform is usually owned by Cloud Platform Engineering, Data Platform Architecture & AI Leadership. Decision-makers include Chief Technology Officer (CTO), VP of Cloud Infrastructure and Chief Data Officer (CDO); Lead GKE Architect and Principal Data Engineer shape the choice, and Cloud Engineers and Data Engineers use it day to day. Our Google Cloud Platform list can include any of these roles.

Q: Which Google Cloud Platform products or editions can I target?

You can target accounts by the Google Cloud Platform products they run, including Google Cloud Enterprise Organization & Resource Hierarchy, Google Kubernetes Engine (GKE) Standard & Autopilot, Google BigQuery Enterprise Data Warehouse & Omni, Vertex AI Machine Learning Platform & Model Garden and Cloud Run Serverless Containers & Eventarc. Tell us which edition or module matters and we filter the list to those accounts.

Q: What does Google Cloud Platform integrate with?

Google Cloud Platform is most often connected to dbt, Kubernetes, Terraform, Datadog and Looker, so users of those tools overlap heavily with Google Cloud Platform accounts. We can filter any list by this kind of stack overlap.

Q: What are the main alternatives to Google Cloud Platform?

The main alternatives to Google Cloud Platform are Amazon Web Services (AWS), Microsoft Azure and Snowflake. We also keep verified user lists for Microsoft Azure and Snowflake, which is useful for competitive displacement campaigns.

Q: What challenges do Google Cloud Platform customers face?

Common challenges for Google Cloud Platform accounts include GKE Autopilot vs. Custom Kubernetes Cluster Governance, BigQuery Slot Reservation & Compute Query Cost Spikes and Vertex AI & Generative Model Production Deployment. Engineering teams operating high-scale workloads on Google Kubernetes Engine balance node provisioning automation against fine-grained cluster resource controls. These are good angles for outreach to Google Cloud Platform users.

Q: Can Data InfoMetrix deliver a free sample Google Cloud Platform contact list before ordering?

Yes. Data InfoMetrix delivers a complimentary 10-record sample tailored to your target Google Cloud Platform criteria—including target job titles, company size, and region—delivered within one business day with no obligation.

Q: How does Data InfoMetrix guarantee email deliverability for Google Cloud Platform contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all Google Cloud Platform datasets. Every contact record undergoes real-time email verification within a 30 to 45-day refresh cycle, backed by a 1:1 hard bounce replacement policy for 30 days after delivery.

Connect directly with verified CTOs, VPs of Data Infrastructure, and Principal Cloud Architects running production Google Cloud workloads. You can filter by GKE Kubernetes scale, BigQuery analytics footprint, Vertex AI adoption, and verified direct dials with 99% deliverability.

243,372+Companies

1,625,700+Contacts

Updated Oct 7, 2026GDPR · CCPA99% accuracy

See sample data

Free Google Cloud Platform count + 10 sample records

243,372+ companies · 1,625,700+ contacts available

✓Exact count for your titles, regions and company size
✓10 verified sample records to check quality
✓Price quote within 1 business day

Trusted by B2B and enterprise revenue teams

How many companies use Google Cloud Platform?

Data InfoMetrix tracks 243,372+ companies running Google Cloud Platform as of October 2026, with 1,625,700+ verified contacts at those accounts. The largest groups are High-Growth Tech & AI Startups, Digital Media & Streaming and AdTech & MarTech Platforms. Buying decisions usually sit with the Chief Technology Officer (CTO), VP of Cloud Infrastructure and Chief Data Officer (CDO). Counts are estimates built from technology footprint scans, job-post signals and partner directories, checked by our research team. How we count

Tracked accounts243,372+

Organizations detected running Google Cloud Platform.

Verified contacts1,625,700+

Direct emails and phone dials for decision-makers.

Primary personasChief Technology Officer (CTO), VP of Cloud Infrastructure, VP of Data Engineering & Analytics

Full buying committee mapped.

Deliverability SLA99%

SMTP-verified, with 1:1 replacement of any email that hard bounces within 30 days.

Data specification · Updated Q4 2026

Technology category	DevOps & Cloud Infrastructure
Tracked organizations	243,372+ verified accounts worldwide
Decision-maker contacts	1,625,700+ records with emails, mobile and direct dials
Key roles	Chief Technology Officer (CTO), VP of Cloud Infrastructure, VP of Data Engineering & Analytics, platform administrators, IT directors, procurement
Geography	180+ countries · country-by-country counts on request
Verification	DNS and script telemetry, 5-stage SMTP handshake, manual research
Refresh cadence	Continuous, 30–45 day maximum record age at delivery
Compliance	GDPR, CAN-SPAM, CCPA and CASL
Delivery	24–48 hours as CSV, XLSX or CRM API

Editorial & verification

Researched by the Data InfoMetrix research team. Counts updated October 2026.

How we count and verify data

Market guide

Selling to Google Cloud Platform customers

Google Cloud customers are often data- and AI-led organizations that chose GCP for BigQuery, Vertex AI and Kubernetes. They tend to have strong engineering teams and modern data stacks.

Written by the Data InfoMetrix research team · Updated October 2026

Who runs Google Cloud

Google Cloud is popular with digital-native companies, retailers, media and gaming companies, healthcare and life sciences organizations and enterprises that standardize on Google Workspace. Data analytics on BigQuery, containers on GKE and AI on Vertex AI are common reasons to choose it.

Who to contact

The CTO and VP of Engineering own the platform; heads of data and data platform leads own BigQuery and analytics spend; cloud architects and SRE leads choose operational tools. For AI projects, the Head of AI or Machine Learning is the key contact.

When Google Cloud accounts are ready to buy

Data warehouse migrations to BigQuery, generative AI projects with Gemini and Vertex AI, Kubernetes adoption, and committed-use renewals are the main triggers. Multi-cloud accounts adding GCP for a specific workload, often analytics, are also good targets.

How to segment and approach

Segment by data-heavy versus infrastructure-heavy usage, by industry and by whether the account also runs AWS or Azure. Pair with data tools such as Looker, dbt and Fivetran to find mature data teams.

Technical, specific messages work best. Show how your product works with BigQuery, GKE or Vertex AI, and whether it is available on Google Cloud Marketplace.

Size your Google Cloud Platform audience

Pick a region, company size and buying role to estimate how many accounts and contacts you can reach.

Region

Company size

Buying role

Estimated segment✓ 99% SLA

243,372+Target accounts

1,625,700+Direct contacts

Decision-makers35%

Influencers45%

End users20%

Estimates from our current Google Cloud Platform dataset. Exact counts come with your quote.

Reach the whole buying committee

A Google Cloud Platform account is not one contact. We map the people who evaluate, buy, run and use it across Cloud Platform Engineering, Data Platform Architecture & AI Leadership.

Decision-makersC-suite & sponsors

Chief Technology Officer (CTO)VP of Cloud InfrastructureChief Data Officer (CDO)VP of Engineering

Influencers & adminsEvaluate & configure

Lead GKE ArchitectPrincipal Data EngineerHead of AI InfrastructureDirector of SRE

End usersRun it every day

Cloud EngineersData EngineersMachine Learning EngineersDevOps Specialists

These are examples. We build records for any department, seniority or custom title.

See exactly what you get

Every record carries 60+ fields, from verified email, direct dial and LinkedIn to full postal address, Google Cloud Platform edition, coexisting stack and intent.

Contact	Buying role	Work email	Direct dial	Company phone	Fax	LinkedIn profile	Company	LinkedIn company page	Industry	Address 1	Address 2	City	State	ZIP code	Country	Google Cloud Platform footprint	Intent	Status
SRSophia ReyesVP of Platform Engineering	Decision Maker	s.r***@apexc**.io	+1 (415) 55*-**	+1 (415) 55*-**	+1 (415) 55*-**	linkedin.com/in/s*ia-r*******	Apex Cloud Systems Inc.	linkedin.com/company/apex-cloud-sys	Enterprise Software & Cloud SaaS	100 Montgomery St	Ste 1800	San Francisco	CA	94104	United States	Google Cloud Platform (GCP) Enterprise + Anthos Hybrid Clusters	High	✓ Verified 2026
MWMarcus WebbLead Site Reliability Engineer (SRE)	Influencer	m.we**@kensington*******.uk	+44 (20) 79*-**	+44 (20) 79*-**	+44 (20) 79*-**	linkedin.com/in/m*us-we******	Kensington Global Capital Ltd	linkedin.com/company/kensington-cap	Financial Services & Modern FinTech	25 Bank St Canary Wharf	—	London	Greater London	E14 5JP	United Kingdom	Google Kubernetes Engine (GKE) Autopilot + Cloud Spanner	High	✓ Verified 2026
LFLena FischerPrincipal Cloud Infrastructure Architect	Influencer	l.fi**@stack**.de	+49 (30) 55*-**	+49 (30) 55*-**	+49 (30) 55*-**	linkedin.com/in/l*a-fi******	StackLabs Infrastructure GmbH	linkedin.com/company/stacklabs-de	Cloud Hosting & Distributed Systems	Friedrichstraße 176-179	—	Berlin	Berlin	10117	Germany	Google Compute Engine (GCE) Managed Instance Groups + Cloud CDN	High	✓ Verified 2026
JOJames O'ConnorDirector of Cloud Operations & DevOps	Decision Maker	j.oc**@veloce****.com	+1 (312) 55*-**	+1 (312) 55*-**	+1 (312) 55*-**	linkedin.com/in/j*s-oc******	Veloce Global Logistics Corp	linkedin.com/company/veloce-logistics	Enterprise Supply Chain & Telematics IoT	233 S Wacker Dr	Ste 4200	Chicago	IL	60606	United States	Google Cloud Run Serverless Containers + Cloud Pub/Sub	High	✓ Verified 2026
ALAstrid LindholmHead of Developer Experience & Tooling	Influencer	a.li**@nordi**.se	+46 (8) 55*-**	+46 (8) 55*-**	+46 (8) 55*-**	linkedin.com/in/a*id-li******	Nordic Digital Commerce AB	linkedin.com/company/nordicpay-ab	E-Commerce & High-Volume Retail Platforms	Hamngatan 15	—	Stockholm	Stockholm County	111 47	Sweden	Google Cloud Build + Artifact Registry + Cloud Deploy	Medium	✓ Verified 2026
DVDavid VanceChief Technology Officer (CTO)	Decision Maker	d.va**@beacond****.com	+1 (703) 55*-**	+1 (703) 55*-**	+1 (703) 55*-**	linkedin.com/in/d*d-va******	Beacon Mission Systems Inc.	linkedin.com/company/beacon-tech	Defense, Aerospace & Industrial Automation	1850 Towers Crescent Plaza	—	Tysons	VA	22182	United States	Google Cloud Assured Workloads for FedRAMP Moderate/High	High	✓ Verified 2026
RGRachel Green-CohenDirector of Cloud Infrastructure & DevSecOps	Influencer	r.co**@veritas****.org	+1 (617) 55*-**	+1 (617) 55*-**	+1 (617) 55*-**	linkedin.com/in/r*el-co******	Veritas Health Technologies Inc.	linkedin.com/company/veritas-health-sys	Digital Health & Clinical Cloud Systems	75 Francis St	—	Boston	MA	02115	United States	Google Cloud Healthcare API (DICOM / HL7v2 / FHIR)	Medium	✓ Verified 2026
YTYuri TanakaSenior SRE & Cloud Systems Engineer	Practitioner	y.ta**@biosynth*****.jp	+81 (3) 55*-**	+81 (3) 55*-**	+81 (3) 55*-**	linkedin.com/in/yi-ta******	BioSynthetix Genomic Systems KK	linkedin.com/company/biosynthetix-kk	Life Sciences & High-Performance Cloud Computing	Roppongi Hills Mori Tower	30F	Tokyo	Tokyo	106-6108	Japan	Google Cloud TPU v5e & Cloud GPU A100 Clusters for Deep Learning	Medium	✓ Verified 2026

Illustrative rows showing 20 of 60+ fields. Full records are unmasked.

We deliver 60+ data fields per record, including intent data. The sample shows a selection only. Tell us which fields you need, including any that aren't listed here, and we'll add them to your list.

Also available:Seniority & departmentJob functionTenure in roleEmployee countAnnual revenueSIC & NAICS codesParent companyWebsite & domainProduct editionContract & renewal timingIntent topics & scoreEmail verification date

How we prove an account runs Google Cloud Platform

No scraped résumés or stale directories. Three layers confirm a live installation before a contact reaches your list. Read our verification protocol

Pillar 1 · Telemetry

Live DNS & script signals

We inspect response headers, DNS MX and CNAME records and live JavaScript bundles to confirm a running Google Cloud Platform instance.

DNS · CNAME · MX recordsHTTP headers · JS bundles✓ Verified against live infrastructure

Pillar 2 · Operational intent

90-day hiring signals

We track job requisitions that ask for Google Cloud Platform skills, which shows ongoing budget and headcount.

Now hiringGoogle Cloud Platform Administrator

Now hiringGoogle Cloud Platform Architect

Now hiringGoogle Cloud Platform Engineer

Pillar 3 · Human & mailbox QA

Pre-delivery SMTP handshake

Each email is tested against the destination mail server, and titles are checked against current company rosters.

SMTP check ✓LinkedIn match ✓Title verified ✓

✓ Deliverable inbox and current role

Deliverability SLA

<3%

Maximum bounce rate, or we replace the contacts. Your sender reputation stays clean.

1:1 hard bounce replacement

Every email that hard-bounces within 30 days of delivery is replaced free, record for record.

24-hour pre-delivery ping

Live SMTP and MX checks right before we send your file.

Instant CRM import

Clean CSV or XLSX, ready for one-click import.

Ready for your outbound stack

Imports straight into the tools you use.

What are you trying to do?

Each campaign needs a different data strategy. Pick your goal to see how we build the audience.

Find companies on rival platforms and reach the people evaluating a move to, or away from, Google Cloud Platform.

Conquesting playbook

Pitch integrations, add-ons and complementary tools to companies already running Google Cloud Platform.

Ecosystem playbook

Build account lists around Google Cloud Platform deployment scale and engage the full committee across departments.

ABM playbook

Conquesting audienceSample

Amazon Web Services (AWS)

Microsoft Azure

Snowflake

→

Google Cloud Platform

Know the stack around every account

Google Cloud Platform rarely runs alone. Every record is tagged with the tools detected alongside it, so you can segment by complementary stacks.

AWS

Open the coexistence matrix

What Google Cloud Platform customers look like

Anonymised profiles of companies in our Google Cloud Platform dataset of 243,372+ accounts. Named accounts are shared in your free sample, never on a public page.

Google Cloud Platform account profiles · anonymised

Company size	Industry	Country	Employees	Revenue
Upper mid-market	FinTech & High-Frequency Trading	Canada	1,000–4,999	$250M–$1B
SMB	Biopharma & Genomics	Germany	50–199	$10M–$50M
Enterprise	High-Growth Tech & AI Startups	United States	10,000+	$5B+
Mid-market	Digital Media & Streaming	Australia	500–999	$100M–$250M
Mid-market	AdTech & MarTech Platforms	United States	200–999	$50M–$250M
Enterprise	FinTech & High-Frequency Trading	United States	5,000+	$1B+
Upper mid-market	Biopharma & Genomics	United Kingdom	1,000–4,999	$250M–$1B
SMB	High-Growth Tech & AI Startups	United States	50–199	$10M–$50M

Markets we cover

United States

India

United Kingdom

Canada

Germany

Australia

Singapore

France

New Zealand

Netherlands

Plus 170 more countries. Ask for a country-by-country count of Google Cloud Platform accounts and we'll include it with your free sample.

Build the list your way

Every list is assembled from source to your product tier, job function, geography and revenue band. Nothing is a fixed export.

Editions & modules

Filter by what they actually run.

+Google Cloud Enterprise Organization & Resource Hierarchy+Google Kubernetes Engine (GKE) Standard & Autopilot+Google BigQuery Enterprise Data Warehouse & Omni+Vertex AI Machine Learning Platform & Model Garden+Cloud Run Serverless Containers & Eventarc

Firmographics

Match revenue, size and industry.

+Industry+$1M–$10B+ revenue+Headcount+Ownership & funding+HQ & branches

Geography

Target any territory.

+US & Canada+US states+UK, DACH, Nordics+APAC & ANZ+Metro clusters

Need multi-attribute segments? Open the Audience Builder

What Google Cloud Platform teams are struggling with

Know the friction before you reach out, and position your product where it matters.

Friction 1

Unchecked Cloud Compute Spend & FinOps Budget Overshoot in Google Cloud Platform

ImpactMonthly infrastructure billing exceeds original engineering forecasts by 35%+.

OpportunityCloud cost management (FinOps) platforms, automated instance right-sizing, and Kubernetes cost allocation tools.

Friction 2

Container & Dependency Vulnerabilities Failing Compliance Audits

ImpactUnpatched CVEs in production images delay release velocity and fail SOC 2 / FedRAMP audits.

OpportunityContainer security scanning, Software Bill of Materials (SBOM) management, and runtime security.

Friction 3

CI/CD Pipeline Friction & Developer Staging Bottlenecks

ImpactEngineering teams waste 25% of sprint velocity waiting on build queues and manual QA environments.

OpportunityContinuous integration orchestration, dev environment automation, and telemetry tools.

Intent triggers we track

✓Adopting multi-cloud / hybrid cloud strategies with Google Cloud Platform

✓Migrating monolithic applications to Kubernetes microservices

✓Implementing FinOps practices to audit and reduce monthly cloud spend

✓Upgrading CI/CD deployment security and SBOM compliance tooling

“The accuracy of their technographic data was outstanding. Every AWS contact we reached out to was actively running live production clusters.”

VP of Field Engineering, a cloud infrastructure companyName withheld at the client's request

Read the $2.2M ARR case study

Google Cloud Platform list questions, answered

How many companies use Google Cloud Platform?

Data InfoMetrix tracks 243,372 companies using Google Cloud Platform, with 1,625,700 verified contacts at those accounts as of October 2026. The largest groups are High-Growth Tech & AI Startups, Digital Media & Streaming and AdTech & MarTech Platforms. Counts are estimates from our database and market research, so ask us for a live count for your exact criteria.

Who buys and manages Google Cloud Platform inside a company?

Google Cloud Platform is usually owned by Cloud Platform Engineering, Data Platform Architecture & AI Leadership. Decision-makers include Chief Technology Officer (CTO), VP of Cloud Infrastructure and Chief Data Officer (CDO); Lead GKE Architect and Principal Data Engineer shape the choice, and Cloud Engineers and Data Engineers use it day to day. Our Google Cloud Platform list can include any of these roles.

Which Google Cloud Platform products or editions can I target?

You can target accounts by the Google Cloud Platform products they run, including Google Cloud Enterprise Organization & Resource Hierarchy, Google Kubernetes Engine (GKE) Standard & Autopilot, Google BigQuery Enterprise Data Warehouse & Omni, Vertex AI Machine Learning Platform & Model Garden and Cloud Run Serverless Containers & Eventarc. Tell us which edition or module matters and we filter the list to those accounts.

What does Google Cloud Platform integrate with?

Google Cloud Platform is most often connected to dbt, Kubernetes, Terraform, Datadog and Looker, so users of those tools overlap heavily with Google Cloud Platform accounts. We can filter any list by this kind of stack overlap.

What are the main alternatives to Google Cloud Platform?

The main alternatives to Google Cloud Platform are Amazon Web Services (AWS), Microsoft Azure and Snowflake. We also keep verified user lists for Microsoft Azure and Snowflake, which is useful for competitive displacement campaigns.

What challenges do Google Cloud Platform customers face?

Common challenges for Google Cloud Platform accounts include GKE Autopilot vs. Custom Kubernetes Cluster Governance, BigQuery Slot Reservation & Compute Query Cost Spikes and Vertex AI & Generative Model Production Deployment. Engineering teams operating high-scale workloads on Google Kubernetes Engine balance node provisioning automation against fine-grained cluster resource controls. These are good angles for outreach to Google Cloud Platform users.

Can Data InfoMetrix deliver a free sample Google Cloud Platform contact list before ordering?

Yes. Data InfoMetrix delivers a complimentary 10-record sample tailored to your target Google Cloud Platform criteria—including target job titles, company size, and region—delivered within one business day with no obligation.

How does Data InfoMetrix guarantee email deliverability for Google Cloud Platform contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all Google Cloud Platform datasets. Every contact record undergoes real-time email verification within a 30 to 45-day refresh cycle, backed by a 1:1 hard bounce replacement policy for 30 days after delivery.

Sourcing and compliance. Business contacts come from public company sources, professional directories and opt-in publishing partners, then go through SMTP verification and human review. Lists are for B2B outreach: include an unsubscribe link and honour opt-outs (CAN-SPAM), and have a lawful basis such as legitimate interest when you email people in the EU or UK (GDPR). Read how we source and verify data