List of Oracle Autonomous AI Database Customers
Oracle
2300 Oracle Way,
Austin, TX, 78741,
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Austin, TX, 78741,
United States
1 737-867-1000
Professional Services
162000
$67.4B
Since 2010, our global team of researchers has been studying Oracle Autonomous AI Database 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 Oracle Autonomous AI Database for AI Database 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 Oracle Autonomous AI Database for AI Database include: Siemens, a Germany based Manufacturing organisation with 312000 employees and revenues of $84.55 billion, Morrisons, a United Kingdom based Retail organisation with 101138 employees and revenues of $22.35 billion, Vodafone UK, a United Kingdom based Communications organisation with 9199 employees and revenues of $7.82 billion, Lyft, a United States based Professional Services organisation with 2934 employees and revenues of $5.79 billion, Mizuho Financial Group, a Japan based Banking and Financial Services organisation with 52554 employees and revenues of $3.81 billion and many others.
Contact us if you need a completed and verified list of companies using Oracle Autonomous AI Database, 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 software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Bukhatir Group | Construction and Real Estate | 5000 | $816M | United Arab Emirates | Oracle | Oracle Autonomous AI Database | AI Database | 2026 | n/a |
In 2026 Bukhatir Group implemented Oracle Autonomous AI Database as its core AI Database platform within an Oracle Cloud Infrastructure footprint that includes OCI Compute and integrated AI services. The deployment is positioned to strengthen disaster recovery capabilities while supporting the group’s diversified operations across the Gulf Cooperative Council and North Africa.
The implementation of Oracle Autonomous AI Database centered on autonomous operations and automated tuning, consolidating analytical workloads and providing a managed platform for hosting AI models and advanced analytics. Configuration focused on built in high availability, automated backup and recovery, and performance optimization features typical of an AI Database, enabling faster provisioning and reduced administrative overhead.
Integration work emphasized OCI Compute connectivity and integrated AI services, with the database platform linked into Bukhatir Group’s cloud compute layer and disaster recovery processes to provide resilient cross regional continuity. Operational coverage extends to the company’s six verticals including industrial, education, development, trading and services, contracting, and sports and leisure, supporting data and analytics, IT operations, and business intelligence functions across those units.
Governance and rollout prioritized centralized platform management and a foundation for future AI initiatives, with standardized provisioning and cloud native operational controls to accelerate deployments. Reported outcomes include reduced costs, improved performance, accelerated deployment cycles, and a stronger disaster recovery posture, while the Oracle Autonomous AI Database provides the technical basis for subsequent AI and analytics programs.
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Credito Emiliano | Banking and Financial Services | 6614 | $2.4B | Italy | Oracle | Oracle Autonomous AI Database | AI Database | 2026 | n/a |
In 2026, Credito Emiliano implemented Oracle Autonomous AI Database to underpin personalized welfare recommendations and broader customer experience initiatives. The deployment leverages Oracle Cloud Infrastructure for scalability, security, and regulatory compliance while incorporating Oracle Generative AI capabilities to drive personalized interactions across client touchpoints.
The Oracle Autonomous AI Database implementation focuses on data consolidation and AI model operationalization typical of AI Database platforms, including vector search for embedding-based recommendations, model serving for real-time inference, and automated tuning for workload optimization. Oracle Autonomous AI Database is configured to support customer profile enrichment, recommendation generation, and analytics workflows that feed personalized welfare offers into client engagement channels.
Integration efforts centered on Oracle Cloud Infrastructure and Oracle Generative AI services, with Oracle Consulting providing implementation and operational support. The rollout targets Credem business functions in retail, corporate, and private banking, aligning the AI Database outputs with customer-facing processes and internal engagement workflows.
Governance and rollout were structured to meet banking compliance requirements and to enable iterative model updates, positioning Credito Emiliano to adopt future AI model enhancements. Outcomes explicitly stated by the bank include higher engagement and improved customer satisfaction driven by the Oracle Autonomous AI Database powered personalization capabilities.
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Fibercop | Communications | 18276 | $3.8B | Italy | Oracle | Oracle Autonomous AI Database | AI Database | 2026 | n/a |
In 2026, FiberCop implemented Oracle Autonomous AI Database as its AI Database on Oracle Cloud Infrastructure. The deployment followed a 2025 evaluation in which FiberCop selected Oracle Cloud Infrastructure and Oracle Interconnect for Microsoft Azure to meet stringent performance and cloud interoperability requirements for its national fiber network.
The implementation paired Oracle Autonomous AI Database with Oracle Data Guard to provide automated lifecycle management, high availability, and synchronous replication for critical telecom workloads. Oracle Autonomous AI Database was configured to leverage autonomous provisioning, AI-driven query and indexing optimizations, and workload-aware resource scaling to support low-latency application delivery for network management and customer-facing services.
Integration used Oracle Interconnect for Microsoft Azure to establish direct cloud-to-cloud connectivity with Microsoft Azure, enabling sub-two-millisecond latency between Azure-hosted services and the Autonomous AI Database. Oracle Data Guard was used to achieve maximum availability through synchronous replication and automated failover, supporting faster application delivery to households, businesses, and public administration across FiberCop's coverage area.
Operational governance centralized database provisioning, standardized automated patching and backup policies, and reduced manual DBA interventions to streamline rollouts across FiberCop environments. The combined architecture of Oracle Autonomous AI Database, Oracle Data Guard, and Oracle Interconnect for Microsoft Azure delivered the explicitly stated outcomes of maximum availability, sub-two-millisecond latency, and faster application delivery.
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Kobalt Music | Media | 700 | $120M | United States | Oracle | Oracle Autonomous AI Database | AI Database | 2026 | n/a |
In 2026, Kobalt Music deployed Oracle Autonomous AI Database to underpin its music publishing platform. The Oracle Autonomous AI Database is being used as an AI Database foundation to support Kobalt Music's platform for rights management, content, and microtransactions, and to host mission critical application and database workloads.
The implementation leverages Oracle AI Database@AWS together with Oracle Exadata connected to a multicloud configuration, an architecture designed to simplify the cloud operating model. Oracle Autonomous AI Database instances are configured to handle transactional microtransaction processing and cataloged content metadata, with AI Database capabilities applied to query optimization and workload consolidation.
Integrations are centered on Oracle Exadata and the AWS hosted Oracle AI Database offering within Kobalt Music's multicloud footprint, delivering reduced latency, strengthened disaster recovery, and improved availability for key application and database workloads. The deployment scope focuses on Kobalt Music's core publishing and rights operations in the United States, aligning database infrastructure with the company platform that manages rights, content, and microtransactions.
Operational governance was adjusted to centralize cloud operating procedures and simplify database lifecycle management, reflecting the stated objective to simplify the cloud operating model. The move to Oracle Autonomous AI Database and Exadata continuity in a multicloud setup is positioned to increase platform resilience and availability for Kobalt Music's publishing and monetization functions.
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Liberty Energy | Utilities | 2500 | $2.0B | Canada | Oracle | Oracle Autonomous AI Database | AI Database | 2026 | n/a |
In 2026, Liberty Energy implemented Oracle Autonomous AI Database as part of an expanded Oracle footprint that included Oracle Autonomous AI Lakehouse and Oracle Analytics Cloud. The deployment targeted integrated analytics across finance, operations, supply chain, and workforce functions, consolidating disparate data sources from Liberty Energy operations across North America into a unified analytics layer. The narrative explicitly places Oracle Autonomous AI Database within the AI Database category to support advanced query processing and model-driven analytics workloads.
The implementation combined Oracle Autonomous AI Lakehouse for centralized storage and feature engineering, Oracle Analytics Cloud for visualization and reporting, and Oracle APEX to automate transactional and approval workflows. Oracle Cloud Infrastructure GoldenGate and Oracle Data Integrator were configured for near real time replication and continuous ingestion as teams add new data sources, enabling the Autonomous AI Database to serve both analytical and workflow automation use cases. Functional capabilities deployed include unified data ingestion, model-ready feature stores, self-service analytics, and application-level automation using APEX.
Operational coverage spanned finance, operations, supply chain, and workforce teams supporting onshore hydraulic fracturing services across North America. The architecture emphasized centralized ingestion and replication pipelines, a governed analytics lakehouse feeding the Autonomous AI Database, and application interfaces for business users to reduce manual interventions. Governance practices focused on controlled data onboarding and line of business access through the integrated Oracle stack, aligning analytics delivery with operational control requirements.
Liberty Energy reported explicit outcomes tied to the implementation, including a reduction in manual reporting and reconciliation by 30 percent, shortened analytics delivery times, and improved capacity to support growth while maintaining operational control. Oracle Autonomous AI Database was used to operationalize analytics and automate workflows, sustaining cross-functional analytics consumption without introducing new named third party integrators.
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Professional Services | 2934 | $5.8B | United States | Oracle | Oracle Autonomous AI Database | AI Database | 2021 | Deloitte |
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Professional Services | 600 | $84M | Austria | Oracle | Oracle Autonomous AI Database | AI Database | 2026 | n/a |
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Banking and Financial Services | 52554 | $3.8B | Japan | Oracle | Oracle Autonomous AI Database | AI Database | 2026 | n/a |
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Retail | 101138 | $22.4B | United Kingdom | Oracle | Oracle Autonomous AI Database | AI Database | 2025 | n/a |
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Manufacturing | 312000 | $84.5B | Germany | Oracle | Oracle Autonomous AI Database | AI Database | 2020 | n/a |
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Buyer Intent: Companies Evaluating Oracle Autonomous AI Database
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Oracle Autonomous AI Database. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Oracle Autonomous AI Database for AI Database include:
- University of Notre Dame, a United States based Education organization with 1526 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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University of Notre Dame | Education | 1526 | $353M | United States | 2026-05-01 |
FAQ - APPS RUN THE WORLD Oracle Autonomous AI Database Coverage
Oracle Autonomous AI Database is a AI Database solution from Oracle.
Companies worldwide use Oracle Autonomous AI Database, from small firms to large enterprises across 21+ industries.
Organizations such as Siemens, Morrisons, Vodafone UK, Lyft and Mizuho Financial Group are recorded users of
Oracle Autonomous AI Database for AI Database.
Companies using Oracle Autonomous AI Database are most concentrated in Manufacturing, Retail and Communications, with adoption spanning over 21 industries.
Companies using Oracle Autonomous AI Database are most concentrated in Germany, United Kingdom and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Oracle Autonomous AI Database across Americas, EMEA, and APAC.
Companies using Oracle Autonomous AI Database range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 18.18%, large organizations with 1,001-10,000 employees - 45.45%, and global enterprises with 10,000+ employees - 36.36%.
Customers of Oracle Autonomous AI Database 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 Oracle Autonomous AI Database customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AI Database.