Rio de Janeiro, 20231-030,
Brazil
Petrobras Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Petrobras and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 41778 Petrobras employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Petrobras has purchased the following applications: Microsoft Power BI for Analytics and BI in 2022, Amazon EC2 for Application Hosting and Computing Services in 2021, SAP Asset Strategy and Performance Management for Asset Performance Management in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Petrobras is running and its propensity to invest more and deepen its relationship with Microsoft , Amazon Web Services (AWS) , Huawei Enterprise or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Petrobras revenues, which have grown to $16.67 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Petrobras intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Power BI | Analytics and BI | Analytics and BI | n/a | 2022 | 2022 |
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon EC2 | Application Hosting and Computing Services | IaaS | n/a | 2021 | 2021 | ||
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Application Hosting and Computing Services | IaaS |
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2015 | 2015 |
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Application Hosting and Computing Services | IaaS |
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2011 | 2011 |
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Application Hosting and Computing Services | IaaS |
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2023 | 2023 |
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Application Hosting and Computing Services | IaaS |
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2023 | 2023 |
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Content Delivery Network | IaaS |
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2016 | 2016 |
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP Asset Strategy and Performance Management | Asset Performance Management | ERP Services and Operations | n/a | 2024 | 2024 | In 2024 Petrobras implemented SAP Asset Strategy and Performance Management as part of a broader SAP Intelligent Asset Management initiative to bring transparency and real-time insights to its asset maintenance processes. The deployment targeted long-standing issues of manual spreadsheets, decentralization of maintenance, and synchronization gaps with supplier assets and third-party products that impeded informed decision making. The implementation centered on SAP Asset Strategy and Performance Management for reliability assessments, paired with SAP Predictive Asset Insights for equipment monitoring and failure predictions. Petrobras activated the machine learning engine within the SAP solutions to support anomaly detection and predictive maintenance, configuring reliability workflows and condition monitoring to standardize assessments across asset classes. The program was aligned with Petrobras ongoing SAP journey and its SAP S/4HANA technological program, leveraging the SAP ecosystem for tighter data consistency and process alignment. The project moved from a proof of concept in 2020 to a pilot at the BUZIOS oilfield, starting with one unit and expanding to all units and to critical systems such as gas compression, production gathering, fire and gas detection, firefighting, and energy generation, later covering offloading, oil water and gas treatment, and water injection pumping. Governance changes emphasized a central view of mission critical assets to replace decentralized spreadsheets and to enable a reliability culture, introducing standardized assessment templates and centralized performance dashboards. Rollout governance included phased pilots per unit and per system, with configuration controls for reliability engineering workflows and operational handoffs to maintenance and asset teams. Petrobras reported explicit operational benefits from the deployment, including improved operational efficiency and increased machine availability, reduced failures, more accurate equipment monitoring, and reduced production losses as a result of real-time performance data. The company plans to evaluate the value returned by the SAP Intelligent Asset Management suite and to expand SAP Asset Strategy and Performance Management and related solutions to other upstream locations and downstream operations. | |
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Enterprise Asset Management | ERP Services and Operations |
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2015 | 2016 |
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Enterprise Asset Management | ERP Services and Operations |
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2024 | 2024 |
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Enterprise Asset Management, Asset Performance Management | ERP Services and Operations |
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2024 | 2024 |
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Point Of Sale | ERP Services and Operations |
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2017 | 2017 |
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Blockchain
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Blockchain Platform | Blockchain |
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2019 | 2019 |
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PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Chemistry Simulation | PLM and Engineering |
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2024 | 2024 |
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Computational Fluid Dynamics (CFD) | PLM and Engineering |
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2017 | 2017 |
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Geology and Seismic Data Processing | PLM and Engineering |
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2006 | 2006 |
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Geology and Seismic Data Processing | PLM and Engineering |
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2024 | 2025 |
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Geology and Seismic Data Processing | PLM and Engineering |
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2023 | 2023 |
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Reservoir Simulation | PLM and Engineering |
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2017 | 2017 |
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Reservoir Simulation | PLM and Engineering |
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2016 | 2017 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Collaboration | Collaboration |
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2017 | 2017 |
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Collaboration | Collaboration |
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2023 | 2023 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Data Loss Prevention | CyberSecurity |
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2021 | 2021 |
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Identity and Access Management (IAM) | CyberSecurity |
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2023 | 2023 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Environment, Health and Safety (EHS) | HCM |
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2024 | 2024 |
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Learning and Development | HCM |
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2022 | 2022 |
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Recruiting | HCM |
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2015 | 2015 |
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ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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ERP Financial | ERP Financial Management |
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2024 | 2024 |
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ERP Financial | ERP Financial Management |
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2022 | 2026 |
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EPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Financial Consolidation and Close | EPM |
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2024 | 2024 |
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Internet of Things
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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IoT Platform | Internet of Things |
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2025 | 2025 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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IT Service Management | ITSM |
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2024 | 2024 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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ML and Data Science Platforms | AI Development |
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2023 | 2024 |
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Procurement
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Procurement | Procurement |
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2024 | 2024 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2020 | 2020 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Web Content Management | Content Management |
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2023 | 2023 |
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| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
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