General Motors
300 Renaissance Center,
Detroit, 48265-3000, MI,
United States
Detroit, 48265-3000, MI,
United States
1 313-667-1500
Automotive
General Motors Technographics
General Motors Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by General Motors and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 162000 General Motors employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that General Motors has purchased the following applications: SAP S/4 HANA for ERP Financial in 2019, Workday Absence Management for Absence and Leave Management in 2018, IBM Maximo for Enterprise Asset Management in 2018 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems General Motors is running and its propensity to invest more and deepen its relationship with SAP , Workday , Sterling Talent Solutions 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 General Motors revenues, which have grown to $187.44 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 General Motors 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.
General Motors Tech Stack and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | SAP ERP ECC 6.0 | SAP S/4 HANA | ERP Financial | ERP Financial Management | n/a | 2019 | 2022 |
In 2019, General Motors implemented SAP S/4 HANA to modernize its core transaction and reporting platform and to address its SAP ERP ECC 6.0 footprint, positioning the deployment under the ERP Financial category. The program centered on deploying SAP S/4 HANA as the primary financial system to support corporate accounting, general ledger, accounts payable, accounts receivable, and treasury management functions within GM’s SAP landscape.
SAP S/4 HANA was configured to leverage HANA in-memory processing for transactional and financial reporting workloads, with functional emphasis on core financial management modules and real-time transactional analytics consistent with ERP Financial capabilities. The implementation included configuration and automation of standard financial workflows and data model conversion to S/4 HANA object structures, while preserving SAP integration patterns common to global automotive supply and parts processes.
The deployment architecture was hosted on an on-premise IBM Power platform, where GM purchased multiple Power 8 systems and upgraded to Power 880, Power 980, and Power 1080 servers to support the HANA in-memory database, including an initial 14 TB HANA DB sizing target. Activities included capacity planning, equipment procurement, installation, system setup and testing, and migration of existing SAP AIX landscapes to the new Power-based HANA infrastructure to create a redundant and resilient host environment for SAP S/4 HANA.
Operational scope covered global SAP landscapes and Global Parts systems, with engineering ownership for capacity management and ongoing platform operations. Governance and rollout practices included structured installation and testing cycles, centralized capacity and platform management by an internal engineering team of record, and expanded monitoring and support capabilities to sustain 24 by 7 middleware and SAP operations across the estate.
The SAP S/4 HANA implementation served as the springboard for continued SAP HANA migrations across GM, driving subsequent hardware scale purchases and further consolidation of SAP landscapes. SAP S/4 HANA, as deployed by General Motors, therefore connected ERP Financial functions to a purpose-built HANA in-memory architecture hosted on enterprise IBM Power infrastructure.
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Expense Management | ERP Financial Management |
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2019 | 2019 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Workday | Legacy | Workday Absence Management | Absence and Leave Management | HCM | n/a | 2018 | 2018 |
In 2018 General Motors implemented Workday Absence Management as part of its Absence and Leave Management strategy, establishing the application for enterprise absence and time tracking reporting. The implementation included a dedicated reporting workstream that consolidated Workday transactional data with a legacy data archive, and the reporting scope explicitly covered Recruiting, onboarding, Benefits, Compensation, Performance, Talent Management, Succession Planning, Learning, Workforce Planning, Absence time tracking, and offboarding functional areas. The engagement centered on producing unified reports that aligned absence events with broader HR and talent metrics.
Workday Absence Management configuration focused on mapping absence event types, leave balances, eligibility rules, and time off request lifecycle states into a consolidated reporting schema consistent with Absence and Leave Management workflows. The reporting workstream developed standardized report definitions and dimensional models that linked absence data to compensation, performance, and workforce planning attributes. These configurations supported both event level reporting and aggregated leave analytics for HR consumers.
Integrations were implemented at the reporting layer to consolidate Workday transaction feeds with the legacy data archive, allowing historical absence records to be surfaced alongside current Workday data. Operational coverage for reporting outputs included HR, Talent Management, Benefits, Compensation, Learning, Recruiting, and Workforce Planning teams, with reports tailored to the information needs of each domain. The integration approach preserved archived records for longitudinal analysis while standardizing active employee absence transactions in Workday.
Governance for the reporting workstream established report ownership, a data archival access model, and a validation cadence between HR analytics and domain subject matter experts. The program instituted controlled report versions and a structured process for report requests and approvals to reduce ad hoc reporting and ensure consistency in absence metrics. Workday Absence Management served as the authoritative transactional system for current leave events, while the legacy archive remained a reference source for historical reporting within the Absence and Leave Management domain.
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BackGround Screening | HCM |
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2016 | 2016 |
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Benefits Administration | HCM |
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2018 | 2018 |
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Candidate Relationship Management | HCM |
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2017 | 2017 |
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Compensation Management | HCM |
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2015 | 2015 |
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Compensation Management | HCM |
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2018 | 2018 |
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Contingent Labor Management | HCM |
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2020 | 2020 |
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Core HR | HCM |
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2017 | 2017 |
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Employee Experience | HCM |
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2021 | 2022 |
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Employee Experience, Employee Engagement, Employee Recognition and Rewards Management | HCM |
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2019 | 2019 |
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Employee Recognition and Rewards Management | HCM |
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2021 | 2021 |
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HR Service Delivery | HCM |
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2020 | 2020 |
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Learning and Development | HCM |
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2017 | 2018 |
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Learning and Development | HCM |
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2018 | 2018 |
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Offboarding | HCM |
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2018 | 2018 |
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Onboarding | HCM |
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2018 | 2018 |
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Onboarding | HCM |
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2021 | 2021 |
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Payroll | HCM |
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2017 | 2017 |
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Payroll | HCM |
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2016 | 2016 |
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Performance and Goal Management | HCM |
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2015 | 2015 |
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Performance and Goal Management | HCM |
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2018 | 2018 |
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Recruiting Chatbot | HCM |
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2019 | 2019 |
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Recruiting, Applicant Tracking System | HCM |
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2018 | 2018 |
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Succession and Leadership Planning | HCM |
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2018 | 2018 |
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Talent Sourcing | HCM |
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2016 | 2016 |
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Talent Sourcing | HCM |
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2016 | 2016 |
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Talent Sourcing | HCM |
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2016 | 2016 |
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Talent Sourcing | HCM |
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2016 | 2016 |
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Time and Attendance | HCM |
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2018 | 2018 |
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Time and Attendance | HCM |
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2018 | 2018 |
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Video Interviewing | HCM |
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2020 | 2020 |
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Workforce Analytics | HCM |
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2019 | 2019 |
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Workforce Management | HCM |
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2014 | 2014 |
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IBM | Legacy | IBM Maximo | Enterprise Asset Management | ERP Services and Operations | n/a | 2018 | 2018 |
In 2018, General Motors implemented IBM Maximo as an Enterprise Asset Management solution. The Reliability Engineering Team supported IBM Maximo alongside the CGI ARM Asset Resource Management suite to estimate asset lifespan, alert respective teams before assets go out of service, and to capture energy usage and billing records tied to personal information and addresses.
The deployment architecture for IBM Maximo was built as multi tier application stacks across cloud providers, with environments provisioned for development, staging, production, and disaster recovery using HashiCorp Terraform and AWS CloudFormation. Runtime hosting included WebSphere for application components, containerized deployments using Docker and Kubernetes for CI CD pipelines, and infrastructure designed across multiple availability zones for high availability.
Pipeline and automation capabilities centered on a consistent Jenkins pipeline implemented with Groovy and Jenkins DSL, source control and branching strategies in Bitbucket, and binary management in Artifactory. Configuration management and orchestration used Puppet and Ansible playbooks with inventories configured for parallel deployment, while Terraform workspaces integrated with HashiCorp Consul to store workspace specific key value pairs. Cloud platform footprint included AWS services such as EC2, Route53, S3, RDS, DynamoDB, SNS, SQS, and IAM, and migrations were executed from on premise vSphere VMs to AWS.
Operational governance included formal tagging and branching patterns in source control, documented IBM Maximo upgrade procedures maintained in SharePoint, and a DevOps workflow that orchestrated test, build, release, and deploy phases across CI CD tools. Testing and validation were implemented with an InSpec framework for unit, acceptance, and regression testing of WebSphere and IBM Maximo applications, and monitoring and application performance administration used AppDynamics. The implementation directly supported asset lifecycle management, utility operations for transmission and distribution, and billing workflows within General Motors.
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Enterprise Asset Management | ERP Services and Operations |
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2011 | 2011 |
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Travel Management | ERP Services and Operations |
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2019 | 2019 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Generative AI Platforms | AI Development |
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2023 | 2023 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Natural Language Processing | AI-Powered Application |
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2005 | 2006 |
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Analytics and BI | Analytics and BI |
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2022 | 2022 |
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Analytics and BI | Analytics and BI |
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2014 | 2018 |
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Analytics and BI | Analytics and BI |
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2019 | 2019 |
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Analytics and BI | Analytics and BI |
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2006 | 2006 |
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Analytics and BI | Analytics and BI |
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2022 | 2022 |
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Analytics and BI | Analytics and BI |
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2018 | 2018 |
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Blockchain
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Blockchain Platform | Blockchain |
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2017 | 2017 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Audio Video and Web Conferencing | Collaboration |
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2017 | 2017 |
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Audio Video and Web Conferencing | Collaboration |
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2020 | 2020 |
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Online Meeting Scheduling | Collaboration |
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2020 | 2020 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Contract Lifecycle Management | Content Management |
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2015 | 2015 |
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Digital Asset Management | Content Management |
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2015 | 2015 |
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Digital Signing | Content Management |
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2019 | 2019 |
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Digital Signing | Content Management |
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2021 | 2021 |
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SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Real-Time Transportation Visibility | SCM |
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2015 | 2015 |
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Supply Chain Compliance | SCM |
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2019 | 2019 |
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Supply Chain Management | SCM |
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2015 | 2015 |
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Supply Chain Management | SCM |
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2012 | 2013 |
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Transportation Management | SCM |
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2022 | 2022 |
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Warehouse Management | SCM |
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2016 | 2016 |
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Warehouse Management | SCM |
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2016 | 2016 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Call Tracking and Recording | CRM |
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2019 | 2019 |
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Customer Engagement | CRM |
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2025 | 2025 |
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Customer Experience | CRM |
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2019 | 2019 |
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Customer Experience | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2020 | 2020 |
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Customer Experience | CRM |
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2011 | 2011 |
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Customer Loyalty | CRM |
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2019 | 2019 |
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Customer Loyalty | CRM |
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2013 | 2014 |
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Customer Loyalty | CRM |
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2013 | 2014 |
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Customer Support | CRM |
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2016 | 2016 |
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Data Management Platform | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2017 | 2017 |
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Marketing Analytics | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2015 | 2015 |
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PR and Media Communication | CRM |
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2022 | 2022 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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Social Media Management | CRM |
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2016 | 2016 |
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Tag Management | CRM |
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2020 | 2020 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Lifecycle Management | ITSM |
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2023 | 2023 |
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IT Service Management | ITSM |
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2015 | 2015 |
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PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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3D Modeling | PLM and Engineering |
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2023 | 2024 |
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Computational Fluid Dynamics (CFD) | PLM and Engineering |
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2018 | 2019 |
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Computational Fluid Dynamics (CFD) | PLM and Engineering |
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2014 | 2014 |
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Computer-Aided Design (CAD) | PLM and Engineering |
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2016 | 2018 |
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Electronic Design | PLM and Engineering |
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2017 | 2017 |
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Material Simulation | PLM and Engineering |
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2014 | 2014 |
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Optical Simulation and Design | PLM and Engineering |
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2021 | 2021 |
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Product Lifecycle Management | PLM and Engineering |
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2021 | 2021 |
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Product Lifecycle Management | PLM and Engineering |
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2021 | 2021 |
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Signal Integrity | PLM and Engineering |
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2015 | 2015 |
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Procurement
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Procurement | Procurement |
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2019 | 2019 |
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Procurement | Procurement |
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2015 | 2015 |
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Sourcing | Procurement |
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2016 | 2016 |
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Supplier Relationship Management | Procurement |
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2020 | 2020 |
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Supplier Relationship Management | Procurement |
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2016 | 2016 |
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SPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Sales Performance Management | SPM |
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2020 | 2020 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Governance, Risk and Compliance | TRM |
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2018 | 2018 |
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Governance, Risk and Compliance | TRM |
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2015 | 2015 |
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Treasury Management | TRM |
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2015 | 2015 |
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Treasury Management | TRM |
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2015 | 2015 |
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Treasury Management | TRM |
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2015 | 2016 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Apps Development | PaaS |
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2021 | 2021 |
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Apps Development | PaaS |
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2022 | 2022 |
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Operating System (OS) | PaaS |
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2016 | 2016 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2022 | 2022 |
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Application Hosting and Computing Services | IaaS |
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2022 | 2022 |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Cloud Storage | IaaS |
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2013 | 2013 |
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Cloud Storage | IaaS |
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2021 | 2021 |
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Cloud Storage | IaaS |
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2022 | 2022 |
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Cloud Storage | IaaS |
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2022 | 2022 |
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Content Delivery Network | IaaS |
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2000 | 2000 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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Database Management | IaaS |
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2018 | 2018 |
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Database Management | IaaS |
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2022 | 2022 |
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Database Management | IaaS |
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2015 | 2015 |
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Database Management | IaaS |
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2011 | 2012 |
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Infrastructure as Code (IaC) | IaaS |
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2022 | 2022 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Identity and Access Management (IAM) | CyberSecurity |
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2000 | 2000 |
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Network Detection and Response (NDR) | CyberSecurity |
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2022 | 2022 |
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IT Decision Makers and Key Stakeholders at General Motors
| First Name | Last Name | Title | Function | Department | Phone | |
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Apps Being Evaluated by General Motors Executives
APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from General Motors IT executives and key decision makers. This section highlights General Motors's latest recorded technology evaluations, including Palantir Foundry for Analytics and BI on 2026-01-21, Siemens Teamcenter for Product Lifecycle Management on 2026-01-20, and SAP Vehicle Management System (VMS) for Automotive ERP on 2026-01-16. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the General Motors digital transformation priorities and AI adoption trends.
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD General Motors Technographics
General Motors is a Automotive organization based in United States,
with around 162000 employees and annual revenues of $187.44 billion.
General Motors operates a diverse technology stack with applications such as
SAP S/4 HANA, Workday Absence Management and IBM Maximo,
covering areas like ERP Financial, Absence and Leave Management and Enterprise Asset Management.
General Motors has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as SAP, Workday and IBM.
General Motors recently adopted applications including
STELLA Copilot in 2025, Google Cloud Vertex AI in 2023 and LaunchDarkly Platform in 2023,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of General Motors’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates General Motors’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete General Motors technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.