Apps Purchases: 10+ Million Software Purchases
Founded in 2010, APPS RUN THE WORLD is a leading technology intelligence and market-research company devoted to the application space. Leveraging a rigorous data-centric research methodology, we ask the simple B2B sales intelligence question: Who’s buying enterprise applications from whom and why?
Our global team of 50 researchers has been studying the digital transformation initiatives being undertaken by 2 million + companies including technographic segmentation of 10 million ERP, EPM, CRM, HCM, Procurement, SCM, Treasury software purchases, 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.
Apps Run The World Buyer Insight and Technographics Customer Database has over 100 data fields that detail company usage of emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database, and different on-prem and cloud apps by function, customer size (employees, revenues), industry, country, implementation status, year deal won, partner involvement, Line of Business Key Stakeholders and key decision-makers contact details, including the systems being used by Fortune 1000 and Global 2000 companies.
Apply Filters For 10+ Million Software Purchases
- SCM
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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RUAG | Aerospace and Defense | 2500 | $195M | Switzerland | SAP | SAP S/4 HANA - Sales and Distribution (SD) | Supply Chain Management | 2022 | n/a | ||
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Arverio Germany | Transportation | 1000 | $195M | Germany | IVU Traffic Technologies | IVU Resource Planning | Advanced Planning and Scheduling | 2024 | n/a | In 2024, Arverio Germany began implementation of IVU Resource Planning from IVU Traffic Technologies, initiating a regional rollout for rail operations and personnel planning. The deployment targeted regional rail services in Baden-Württemberg and Bavaria and focused on integrating operational scheduling with personnel and vehicle resource workflows. IVU.rail has been in use since early 2025 as the operational instance of IVU Resource Planning for integrated personnel and vehicle resource planning. The implementation configured Advanced Planning and Scheduling capabilities to centralize crew rostering, vehicle allocation and operational scheduling workflows, reducing reliance on manual spreadsheets and ad hoc coordination. Operational scope covered operations and personnel planning teams across the two German regions, with system use embedded into day-to-day planning and dispatch workflows. The deployment emphasized configuration of scheduling, resource assignment and shift pattern management consistent with Advanced Planning and Scheduling functionality. Governance adjustments standardized planning workflows and handover procedures between crew planning and vehicle planning teams, following a phased rollout that began in 2024 and reached operational use in early 2025. The IVU.rail deployment simplified planning, reduced manual work and delivered measurable time savings. | |
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Life Sciences | 1200 | $197M | United Kingdom | IFS | IFS Supply Chain Management | Supply Chain Management | 2019 | n/a |
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Government | 842 | $197M | United States | Yunex | Yunex Traffic | Traffic Management | 2025 | n/a |
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Automotive | 340 | $198M | Ukraine | ABM Cloud | ABM WMS | Warehouse Management | 2018 | n/a |
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Retail | 1000 | $200M | United States | Blue Yonder | JDA Merchandise Management System | Inventory Management | 2012 | n/a |
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Retail | 1000 | $200M | Australia | SAP | SAP Supply Chain Management | Supply Chain Management | 2016 | n/a |
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Oil, Gas and Chemicals | 550 | $200M | Germany | SAP | SAP IBP | Advanced Planning and Scheduling | 2015 | n/a |
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Manufacturing | 756 | $200M | Germany | SAP | SAP ERP ECC 6.0 - Materials Management (MM) | Inventory Management | 2017 | n/a |
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Manufacturing | 756 | $200M | Germany | SAP | SAP ERP ECC 6.0 - Production Planning (PP) | Advanced Planning and Scheduling | 2017 | n/a |
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