Washington, 20330-1670, DC,
United States
United States Air Force Technographics
United States Air Force Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by United States 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 United States 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 United States Air Force has purchased the following applications: Accruent EMS for Facility Management in 2014, C3 AI Readiness for Computer Vision in 2018, MicroStrategy ONE Analytics for Analytics and BI in 2012 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems United States Air Force is running and its propensity to invest more and deepen its relationship with Accruent , C3.ai , MicroStrategy 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 United States 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 United States 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.
United States Air Force Tech Stack and Enterprise Applications
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.
|
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.
|
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| MicroStrategy | Legacy | MicroStrategy ONE Analytics | Analytics and BI | Analytics and BI | n/a | 2012 | 2018 |
In 2012, the United States Air Force retained MicroStrategy to implement MicroStrategy ONE Analytics as a strategic analytical capability for base closure decision support. MicroStrategy ONE Analytics was engaged as an Analytics and BI implementation to produce structured analysis and reporting for closure recommendations and comparative base impact studies.
The deployment centered on an analytical toolset and decision support system that provided comprehensive single-base impact analyses and cross-base impact comparisons, combining quantitative reporting with mechanisms to capture qualitative and subjective inputs. Functionality emphasized dashboards, comparative analytics, structured impact reports, and methodology-driven evaluation workflows, with the MicroStrategy ONE Analytics methodology designed to capture and surface both numeric indicators and the qualitative insights contributed by reviewers.
Operationally the system was positioned to support Air Force leaders and the Base Closure Executive Group, aligning analytical outputs with the BCEG recommendation process and helping standardize review workflows across base closure cases. The implementation linked analytical outputs to governance and decision workflows, enabling the BCEG to incorporate structured quantitative analysis alongside the qualitative judgments of its members.
|
|
|
|
|
Analytics and BI | Analytics and BI |
|
2013 | 2013 |
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Collaboration, Audio Video and Web Conferencing | Collaboration |
|
2022 | 2022 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Citizen Engagement | CRM |
|
2013 | 2014 |
|
|
|
|
|
CRM | CRM |
|
2021 | 2021 |
|
|
|
|
|
Digital Advertising Platform | CRM |
|
2016 | 2016 |
|
ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Performance Management | ITSM |
|
2025 | 2025 |
|
PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Product Lifecycle Management | PLM and Engineering |
|
2021 | 2021 |
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Apps Development | PaaS |
|
2025 | 2025 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2000 | 2000 |
|
|
|
|
|
Infrastructure as Code (IaC) | IaaS |
|
2025 | 2025 |
|
CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Vulnerability Management | CyberSecurity |
|
2023 | 2023 |
|
IT Decision Makers and Key Stakeholders at United States Air Force
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by United States Air Force Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||