Washington, 20330-1670, DC,
United States
U.S. Air Force Technographics
U.S. Air Force Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by U.S. Air Force and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 689000 U.S. Air Force employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that U.S. Air Force has purchased the following applications: Oracle Cloud ERP for ERP Financial in 2024, Accruent EMS for Facility Management in 2014, C3 AI Readiness for Computer Vision 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 U.S. Air Force is running and its propensity to invest more and deepen its relationship with Oracle , Accruent , IBM 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 U.S. Air Force revenues, which have grown to $209.60 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 U.S. Air Force 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.
U.S. Air Force Tech Stack and Enterprise Applications
U.S. Air Force ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Oracle E-Business Suite | Oracle Cloud ERP | ERP Financial | ERP | n/a | 2024 | 2025 |
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U.S. Air Force ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Accruent | Legacy | Accruent EMS | Facility Management | ERP Services and Operations | n/a | 2014 | 2014 |
In 2014, the United States Air Force implemented Accruent EMS. Accruent EMS is a Facility Management application deployed to support facility operations, asset inventory and the work order lifecycle for facility management and base operations teams within the Air Force.
The implementation emphasized Facility Management capabilities typical for the category, including configurable work order management, preventive maintenance scheduling, asset and space inventory, and condition assessment workflows. Configuration focused on role based access controls for maintenance technicians, planners and facility managers, alongside catalog driven service definitions to standardize maintenance processes and asset recordkeeping using Accruent EMS.
Operational governance centered on standardizing work order lifecycle governance, centralizing asset records, and formalizing preventive maintenance scheduling to support facility sustainment and maintenance planning. Source material lists the United States Air Force as a customer of Accruent EMS on the EMS Software customer page, and no external system integrations are documented in the source.
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Facility Management | ERP Services and Operations |
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2019 | 2019 |
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U.S. Air Force AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| C3.ai | Legacy | C3 AI Readiness | Computer Vision | AI-Powered Application | n/a | 2018 | 2018 |
In 2018, the United States Air Force implemented C3 AI Readiness, a Computer Vision application, to predict subsystem failures, identify spare part requirements, and increase aircraft mission capability across its aging fleet. The project targeted operational readiness challenges driven by an average fleet age of 28 years, covering platforms such as E-3 Sentry, C-5M Super Galaxy and F-16 Fighting Falcon, and recognized that aircraft downtime can exceed $28,000 per hour. The deployment was framed to support maintenance and logistics business functions across squadron, command and geographic levels of aggregation.
The implementation proceeded in phased workstreams, beginning with a comprehensive mean-time-between-failure MTBF analysis across aircraft components to characterize lifecycle performance and prioritize subsystems for AI classifiers. In the subsequent phase, teams developed an analytics fabric that produced over 440,000 machine learning analytics and state of the art natural language processing analytics, training roughly 30 classifiers to calculate probability of failure on high priority subsystems. C3 AI Readiness was configured to surface component expected remaining life and to generate AI‑informed technical actions for maintenance crews.
Data engineering work aggregated seven to ten years of operational data from ten to twelve sources to enable model training and near real time inference, and the solution was instrumented to analyze equipment health at multiple levels including systems and sub components, impact and risk, squadron, command, operational status and geographic location. Integrations focused on ingesting diverse operational telemetry and logistics records to feed predictive models and supply chain recommendations. The United States Air Force C3 AI Readiness Computer Vision deployment emphasized ensemble machine learning classifiers and NLP analytics rather than changes to specific legacy applications.
Governance and rollout included a rapid production timeline, with 24 weeks from kick off to production for initial platform coverage, and operationalization centered on USAF maintenance and logistics staffs as primary users. Workflow changes prioritized near real time access to data and AI insight to streamline decision making, and workstreams established model monitoring and classifier prioritization to guide ongoing tuning. Training and operational procedures were aligned to ensure AI outputs produced actionable maintenance recommendations and spare part forecasts.
Explicit outcomes reported from the program include a 6 percent increase in aircraft mission capability, a 40 percent reduction in unscheduled maintenance on monitored systems, and a 35 percent reduction in Mission Impaired Capability Awaiting Parts. Using C3 AI Readiness, maintenance and logistics personnel are able to monitor component remaining life, optimize scheduled maintenance activities, identify high risk subsystems before failure, isolate potential failure root cause with AI informed actions, and leverage predictive supply chain and maintenance recommendations to improve part inventory adequacy.
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U.S. Air Force 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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2012 | 2018 |
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Analytics and BI | Analytics and BI |
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2013 | 2013 |
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U.S. Air Force Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Collaboration, Audio Video and Web Conferencing | Collaboration |
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2022 | 2022 |
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U.S. Air Force CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Citizen Engagement | CRM |
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2013 | 2014 |
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CRM | CRM |
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2021 | 2021 |
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Digital Advertising Platform | CRM |
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2016 | 2016 |
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U.S. Air Force ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2025 | 2025 |
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U.S. Air Force PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Product Lifecycle Management | PLM and Engineering |
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2021 | 2021 |
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U.S. Air Force PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Apps Development | PaaS |
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2025 | 2025 |
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U.S. Air Force 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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2000 | 2000 |
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Infrastructure as Code (IaC) | IaaS |
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2025 | 2025 |
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U.S. Air Force CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Vulnerability Management | CyberSecurity |
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2023 | 2023 |
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IT Decision Makers and Key Stakeholders at U.S. Air Force
Apps Being Evaluated by U.S. Air Force Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| 2026-08-12 | U.S. Air Force | Evaluated | Mentimeter | Mentimeter | Survey and Questionnaire | Collaboration |
| 2026-05-03 | U.S. Air Force | Evaluated | Palantir Technologies | Palantir Foundry | Analytics and BI | Analytics and BI |
| 2025-12-15 | U.S. Air Force | Evaluated | Coupa Software | Coupa Procurement | Procurement | Procurement |
| 2025-12-15 | U.S. Air Force | Evaluated |
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ERP Financial | ERP |
| 2025-12-15 | U.S. Air Force | Evaluated |
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Hotel Property Management | ERP Services and Operations |
| 2025-12-05 | U.S. Air Force | Evaluated |
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Generative AI Platforms | AI Development |
| 2025-08-07 | U.S. Air Force | Evaluated |
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ERP Financial | ERP |
| 2025-05-28 | U.S. Air Force | Evaluated |
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BackGround Screening | HCM |
| 2025-05-28 | U.S. Air Force | Evaluated |
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Configure Price Quote (CPQ) | SPM |
| 2025-05-21 | U.S. Air Force | Evaluated |
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Application Hosting and Computing Services | IaaS |