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.
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- Analytics and BI
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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United States Department of Defense | Government | 1000 | $250M | United States | Starseed AI | Starseed AI | Analytics and BI | 2024 | n/a | In 2024, the United States Department of Defense implemented Starseed AI as an Analytics and BI application. Starseed AI was developed in collaboration with the DoD to deliver an Ontology Unification System, a vendor‑claimed capability described by Starseed AI that enables cross‑system semantic translation across intelligence data sources. The implementation centers on an ontology unification layer that performs semantic mapping and translation of heterogeneous intelligence datasets, supporting forensic analysis and supply chain counterfeit detection use cases in the United States. Starseed AI as deployed provides canonical ontology alignment, entity resolution, and normalized data views intended to reduce semantic fragmentation between disparate intelligence systems. Architecturally the deployment emphasizes a semantic integration plane, with ingestion pipelines for source normalization, an ontology mapping engine for term reconciliation, and API‑level interfaces for data exchange with upstream intelligence systems. Configuration and operational modules align with Analytics and BI workflows, including taxonomy management, semantic query translation, and role based access to translated intelligence outputs. Starseed AI states this engagement was a collaboration with the Department of Defense and the procurement and start dates are not published, the 2024 year above is an estimate derived from vendor timeline statements. Governance implications described by the vendor include introducing centralized ontology governance, data stewardship responsibilities, and workflow changes to manage semantic mappings and access controls across participating intelligence teams. | |
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Resorts World Las Vegas | Leisure and Hospitality | 1000 | $250M | United States | UrVenue | UrVenue Insights | Data Warehouse | 2021 | n/a | In 2021, Resorts World Las Vegas partnered with UrVenue to deploy UrVenue Insights, positioned as a Data Warehouse capability within UrVenue's offering, to support contactless, self-service bookings and analytics for on-site venues. The deployment covered the resort's 5.5-acre pool complex and associated daylife and nightlife venues at the Las Vegas property in the United States, with a focus on enabling bundled bookings and improving cross-sell across venue commerce. UrVenue Insights was implemented as the analytics and reporting layer tied to the UV Enterprise product family, module usage inferred from UrVenue messaging that explicitly lists an Insights capability driving commerce and operations reporting. The implementation aggregated booking transactions, guest interaction events from interactive 3D booking maps, and commerce activity into a consolidated Data Warehouse to support operational reporting and commerce analytics. Operational integration concentrated on the UrVenue booking and 3D map commerce flows, enabling unified reporting across pool, daylife and nightlife operations and supporting bundled purchase logic at point of sale and self-service checkout. The scope emphasized commerce and operations functions, with data flows organized to provide venue managers and guest services teams with consolidated views for day-to-day operations and cross-sell opportunities. Governance focused on centralizing analytics for venue commerce, with UrVenue Insights serving as the authoritative reporting source for commerce and operations reporting at the resort. The deployment explicitly supported contactless, self-service bookings and interactive 3D booking maps, and it enabled bundled bookings and improved cross-sell at Resorts World Las Vegas as stated in the project source details. | |
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Healthcare | 1200 | $250M | United States | Google Charts | Analytics and BI | 2016 | n/a |
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Professional Services | 700 | $250M | Australia | Dreamdata | Dreamdata Revenue Analytics | Analytics and BI | 2023 | n/a |
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Professional Services | 1085 | $250M | United States | Prezi | Prezi Infogram | Analytics and BI | 2021 | n/a |
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Professional Services | 1085 | $250M | United States | Firebolt Analytics | Firebolt | Data Warehouse | 2022 | n/a |
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Consumer Packaged Goods | 277 | $251M | United Kingdom | Oracle | Oracle OBIEE | Analytics and BI | 2010 | n/a |
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Consumer Packaged Goods | 277 | $251M | United Kingdom | SAP | SAP BW (Business Warehouse) | Data Warehouse | 2015 | n/a |
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Consumer Packaged Goods | 277 | $251M | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2020 | n/a |
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Consumer Packaged Goods | 277 | $251M | United Kingdom | Tableau Software | Tableau | Analytics and BI | 2020 | n/a |
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