List of Google Looker Customers
Google
1600 Amphitheatre Parkway,
Mountain View, 94043, CA,
United States
Mountain View, 94043, CA,
United States
1 650-253-0000
Communications
190820
$402.8B
Since 2010, our global team of researchers has been studying Google Looker customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Google Looker for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Google Looker for Analytics and BI include: Morrisons, a United Kingdom based Retail organisation with 101138 employees and revenues of $22.35 billion, Block, a United States based Professional Services organisation with 12985 employees and revenues of $21.92 billion, Coinbase, a United States based Banking and Financial Services organisation with 3772 employees and revenues of $6.56 billion, Mercado Livre Brazil, a Brazil based Consumer Packaged Goods organisation with 10000 employees and revenues of $5.40 billion, HSBC, a United Kingdom based Banking and Financial Services organisation with 5836 employees and revenues of $4.95 billion and many others.
Contact us if you need a completed and verified list of companies using Google Looker, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Analytics and BI software purchases.
The Google Looker customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Analytics and BI software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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AssemblyAI | Professional Services | 120 | $12M | United States | Google Looker | Analytics and BI | 2025 | n/a |
In 2025, AssemblyAI implemented Google Looker as part of a Google Cloud analytics platform to support petabyte-scale AI research and development, using the Analytics and BI category to centralize visualization and reporting. The deployment supports AssemblyAI's speech-to-text and speech understanding model programs and the research teams that iterate on Universal-class models, aligning analytics and model evaluation with large scale data storage and compute.
Google Looker is used to visualize the AI lake house which hosts petabyte-scale structured and unstructured data, while core functional components include BigQuery for analytics, Bigtable for low-latency storage, and Google Cloud Storage for object persistence. The implementation layers orchestration and pipeline automation using a Kubernetes-based framework and Cloud Composer, and it leverages Vertex AI for model training and evaluations, with TPUs providing high-performance training capacity.
Integrations are explicit and tightly coupled to Google Cloud services, including BigQuery, Bigtable, Google Cloud Storage, Vertex AI, Cloud Composer, Google Kubernetes Engine, Dataproc, and Dataflow, enabling end-to-end data ingestion, preparation, training, and visualization workflows. Operational coverage spans AssemblyAI research and data infrastructure teams, model engineering, and run-time evaluation, provisioning thousands of nodes and GPUs or TPUs on demand to run many experiments in parallel and to process substantially larger audio datasets.
Governance and observability were incorporated through audit logging and data lineage capabilities to track which data contributed to which models, supporting data privacy and ownership compliance needs. Measured outcomes stated by the team include a 75% reduction in data storage and infrastructure costs, model evaluation time falling from 24 hours to 20 minutes, data processing capacity scaling from a few nodes and GPUs to thousands of nodes and GPUs or TPUs, audio data growth from about 1 million hours to over 12 million hours and storage expansion from roughly 100 terabytes to more than 1 petabyte, and over a 10 times increase in storage capacity, enabling faster model releases such as Universal-2 within six months of the Google Cloud deployment.
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Attentive | Professional Services | 1100 | $150M | United States | Google Looker | Analytics and BI | 2020 | n/a |
In 2020, Attentive implemented Google Looker to centralize reporting and analytics for its SMS marketing operations. Attentive Google Looker Analytics and BI was positioned to support marketing analytics, client reporting, and customer success dashboards across mid-market accounts.
The implementation focused on configurable dashboards and reporting for attributed revenue, click through rates, and conversion rates, with Looker visualizations used to present performance and recommendations to clients. The team configured monitoring and troubleshooting workflows inside the reporting layer, and operationalized user training and onboarding to drive adoption of Google Looker across internal teams and client-facing roles.
Integrations were scoped and configured to feed SMS performance data into Google Looker, and platform performance was monitored through dashboards including Looker and DataDog. The deployment serviced a book of business of up to 80 client projects, and the implementation was used by Product, Engineering and Customer Success teams to surface technical issues and client insights.
Governance emphasized cross-functional coordination, piloting of new features, triage processes for data quality and errors, and structured onboarding and training for users. As an explicit outcome of the operational program, the team onboarded 80 clients in Q3’2022 against a target of 60 clients, exceeding the target by 133%.
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Bank Muamalat | Banking and Financial Services | 2357 | $400M | Malaysia | Google Looker | Analytics and BI | 2024 | n/a |
In 2024, Bank Muamalat deployed Google Looker as a central component of its Analytics and BI capability on Google Cloud, aligning business intelligence with a cloud-based operating model. Google Looker is being used to consolidate first-party data into unified, 360-degree customer profiles that non-technical business analysts and marketers can access for targeted product and marketing design.
The implementation configured Google Looker to model enterprise datasets hosted in Google BigQuery, deliver reusable dashboards and governed self-service analytics, and provide a single semantic layer for customer, product, and campaign reporting. Looker was provisioned to support reporting for marketing automation, customer segmentation, and product analytics workflows, enabling analysts to generate insights without heavy engineering involvement.
Looker integrates with Google BigQuery and Google Marketing Platform to ingest and operationalize application and marketing data, and it sits alongside Vertex AI Search and Conversation as the analytics and BI front end for responsible generative AI use cases. The broader platform architecture includes Mambu as the digital core banking platform and Backbase for engagement banking, Firestore for serverless operational data persistence, and Google Chronicle Security Operations and Security Command Center Premium augmented by Mandiant Threat Intelligence for detection and response, all feeding governed datasets into BigQuery and Looker.
Governance for the Google Looker deployment emphasizes built-in data access controls and customer-managed encryption keys, aligning analytics access with the banks security and compliance requirements. The cloud-first rollout supports automation in document data capture and faster product launch cycles, including reported application completion speeds up to six times faster, and it enables staff to use unified data and AI-driven search to reduce time spent on information retrieval and focus on customer engagement and product design.
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Banking and Financial Services | 400 | $432M | United States | Google Looker | Analytics and BI | 2019 | n/a |
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Professional Services | 12985 | $21.9B | United States | Google Looker | Analytics and BI | 2019 | n/a |
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Professional Services | 1000 | $130M | United States | Google Looker | Analytics and BI | 2018 | n/a |
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Healthcare | 80 | $8M | United States | Google Looker | Analytics and BI | 2023 | n/a |
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Professional Services | 600 | $102M | Netherlands | Google Looker | Analytics and BI | 2016 | n/a |
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Retail | 3226 | $986M | United Kingdom | Google Looker | Analytics and BI | 2021 | n/a |
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Professional Services | 750 | $850M | United States | Google Looker | Analytics and BI | 2018 | n/a |
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Showing 1 to 10 of 35 entries
Buyer Intent: Companies Evaluating Google Looker
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Google Looker. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Google Looker for Analytics and BI include:
- JD Sports, a United Kingdom based Retail organization with 73519 Employees
- University Of Cincinnati, a United States based Education company with 15000 Employees
- Ace Data Centers, a United States based Professional Services organization with 15 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Google Looker Coverage
Google Looker is a Analytics and BI solution from Google.
Companies worldwide use Google Looker, from small firms to large enterprises across 21+ industries.
Organizations such as Morrisons, Block, Coinbase, Mercado Livre Brazil and HSBC are recorded users of
Google Looker for Analytics and BI.
Companies using Google Looker are most concentrated in Retail, Professional Services and Banking and Financial Services, with adoption spanning over 21 industries.
Companies using Google Looker are most concentrated in United Kingdom, United States and Brazil, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Google Looker across Americas, EMEA, and APAC.
Companies using Google Looker range from small businesses with 0-100 employees - 8.57%, to mid-sized firms with 101-1,000 employees - 42.86%, large organizations with 1,001-10,000 employees - 42.86%, and global enterprises with 10,000+ employees - 5.71%.
Customers of Google Looker include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Google Looker customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI.