List of Oracle Autonomous AI Database Customers
Oracle
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Professional Services
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$67.1B
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, Lyft, a United States based Professional Services organisation with 2934 employees and revenues of $5.79 billion, Vodafone, a United Kingdom based Communications organisation with 12000 employees and revenues of $3.00 billion, Credito Emiliano, a Italy based Banking and Financial Services organisation with 6614 employees and revenues of $2.43 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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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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Lyft | Professional Services | 2934 | $5.8B | United States | Oracle | Oracle Autonomous AI Database | AI Database | 2021 | Deloitte |
In 2021, Lyft implemented Oracle Autonomous AI Database. Lyft used Oracle Autonomous AI Database alongside Oracle Cloud ERP and Oracle Analytics to create a single source of finance and operations data and significantly accelerate financial close processes in the United States.
The implementation leveraged the AI Database as a centralized data layer for finance and operations, configured to consolidate transactional and reporting datasets. Lyft configured Oracle Autonomous AI Database to exploit autonomous management, automatic tuning, and AI enabled analytics capabilities typical of AI Database deployments, supporting query performance and reduced manual database administration.
Integrations centered on Oracle Cloud ERP and Oracle Analytics, with Oracle Autonomous AI Database serving as the canonical finance and operations store for US accounting and operational reporting. Deloitte acted as the systems integrator, supporting data modeling, ETL orchestration, and the technical integration work required for the ERP, analytics, and database alignment.
Governance emphasis included a centralized data model and controls to support close orchestration and month end procedures, with operational ownership concentrated in finance and operations teams in the United States. The explicit outcome reported was a significant acceleration of financial close processes in the United States.
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Morrisons | Retail | 101138 | $22.4B | United Kingdom | Oracle | Oracle Autonomous AI Database | AI Database | 2025 | n/a |
In 2025 Morrisons deployed Oracle Autonomous AI Database as part of a coordinated shift to Oracle Cloud Infrastructure, accelerating its data center exit and transferring retail and supply chain systems to the cloud. The Oracle Autonomous AI Database implementation is positioned within the AI Database category and is integrated into a converged Oracle platform that includes Oracle Exadata Database Service, Oracle Cloud VMware Solution, Oracle Analytics Cloud, and multiple OCI AI services. This platform consolidation follows Morrisons moving its existing Oracle E-Business Suite to OCI, a change that previously increased scale and improved performance for finance and manufacturing processes at Morrisons and Myton Food Group.
The implementation focused on embedding Oracle Autonomous AI Database as a managed, self-tuning data tier to support transaction processing and analytic workloads common to retail and supply chain operations. Configuration emphasized autonomous operations, workload-aware resource allocation, and native support for analytics services, enabling the database to serve both operational systems and reporting layers. The narrative aligns with typical AI Database capabilities, including automated tuning, integrated analytics acceleration, and simplified lifecycle management.
Integrations were executed at the platform level, with Oracle Autonomous AI Database operating alongside Oracle Exadata Database Service and feeding Oracle Analytics Cloud and OCI AI services. Operational coverage included finance, manufacturing, retail merchandising, and supply chain functions across Morrisons and its Myton Food Group subsidiary, reflecting a consolidated cloud data strategy. The architecture centralized data services on OCI, enabling cross-functional access to unified data sets while keeping transactional reliability for core supermarket operations.
Governance and rollout were driven by the company strategy to accelerate data center exit plans and standardize on OCI platform services, shifting operational ownership toward cloud-native management and centralized platform controls. The program prioritized platform convergence and operational scalability rather than bespoke point solutions, aligning database administration and analytics governance under the OCI service model. Reported outcomes include increased scale and improved performance for finance and manufacturing, with the broader platform described as unlocking opportunities for innovation, agility, and sustainable growth.
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Siemens | Manufacturing | 312000 | $84.5B | Germany | Oracle | Oracle Autonomous AI Database | AI Database | 2020 | n/a |
In 2020, Siemens implemented Oracle Autonomous Transaction Processing on Oracle Cloud Infrastructure to consolidate project and document data for a European rail signal modernization program, addressing project management and operations needs. This deployment is associated with Oracle Autonomous AI Database usage and appears on Oracle's Autonomous AI Database customer list, linking Siemens to the AI Database category for infrastructure and transactional workloads.
The implementation centralized project and document repositories into an autonomous transactional database environment, using Oracle Autonomous Transaction Processing capabilities for high availability, automated provisioning, and self-managing operations. Configuration focused on transactional consolidation for project management and document workflows, and typical AI Database functional terminology such as autonomous tuning, automated backup, and built-in security controls is relevant to the deployment.
Deployment architecture was on Oracle Cloud Infrastructure, where the Autonomous Transaction Processing instance served Siemens Mobility for the European rail signal modernization project, covering project management and operations functions. The solution was brought online within two weeks, indicating a rapid provisioning and cutover model for cloud-native autonomous database services, and it consolidated cross-project data for centralized operational access.
Governance and operational change centered on centralizing project and document data into a managed autonomous database, reducing manual database administration through autonomous management and altering project data workflows toward a single cloud data platform. The implementation delivered explicit outcomes reported in the source, including up to 90 percent time and cost savings and a two week go-live window, positioning the Oracle Autonomous AI Database offering as the AI Database underpinning Siemens Mobility project and operations use cases.
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Vodafone | Communications | 12000 | $3.0B | United Kingdom | Oracle | Oracle Autonomous AI Database | AI Database | 2022 | n/a |
In 2022, Vodafone deployed Oracle Autonomous AI Database as part of a broader AI Database and OCI Dedicated Regions rollout with Oracle. The implementation positioned Oracle Autonomous AI Database as the primary platform for consolidating telecommunications data workloads across Vodafone's European operations.
Vodafone's deployment centralized thousands of Oracle database workloads into Oracle Autonomous AI Database to support modernization of BSS and OSS stacks, CRM systems, and order management capabilities. Configuration emphasized autonomous operations common to the AI Database category, including automated tuning, elastic scaling, and workload consolidation to reduce operational overhead and simplify data management for billing, service assurance, and customer engagement functions.
The architecture incorporated OCI Dedicated Regions to provide regionally isolated cloud footprint and integrated with core telecom business applications for end to end processing of orders and customer records. Operational scope covered Vodafone's European sites and cross functional teams in network operations, customer care, and commercial IT, with platform operations and cloud governance consolidated under an Oracle cloud operational model.
Oracle lists Vodafone as a customer on its Autonomous AI Database customer page, supporting the inference that Oracle Autonomous AI Database is in use alongside the OCI Dedicated Regions deployment. Vodafone and Oracle cite reduced costs and faster time to market as outcomes associated with the rollout, aligning platform consolidation and governance changes to accelerate service delivery and modernization efforts.
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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, Lyft, Vodafone and Credito Emiliano are recorded users of
Oracle Autonomous AI Database for AI Database.
Companies using Oracle Autonomous AI Database are most concentrated in Manufacturing, Retail and Professional Services, 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 - 0%, large organizations with 1,001-10,000 employees - 40%, and global enterprises with 10,000+ employees - 60%.
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.