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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Kia America | Automotive | 5000 | $1.5B | United States | SAS Institute | SAS/QC Software | Analytics and BI | 2014 | n/a | In 2014, Kia America implemented SAS/QC Software within its Analytics and BI stack to operationalize reliability engineering and warranty forecasting functions. Kia America deployed SAS/QC Software to support Weibull reliability analyses, failure-rate forecasting and quality dashboarding for initial quality and warranty reserve processes in the United States. The implementation configured SAS/QC Software capabilities for Weibull life-distribution modeling and SPC-style reliability analysis, and automated failure-rate forecasting workflows aligned with quality engineering practices. Those modules were used to generate standardized analytic outputs for root-cause investigations and failure-mode trending, embedding statistical process control and reliability modeling into repeatable quality workflows. SAS/QC Software was instrumented alongside broader SAS analytics and AI capabilities, including Visual Analytics, to feed interactive quality dashboards and warranty forecasting models. Operational coverage focused on warranty and quality engineering teams within Kia America in the United States, with analytic outputs consumed by initial quality review and warranty reserve processes. Governance centered on model standardization and repeatable root-cause workflows, integrating SAS/QC Software outputs into established quality review and warranty forecasting processes. According to published materials, the program accelerated root-cause analysis and improved initial quality and warranty reserve processes for Kia America. | |
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Cleveland Clinic | Healthcare | 10 | $1M | United States | TreeAge | TreeAge Pro Healthcare | Analytics and BI | 2021 | n/a | In 2021, Cleveland Clinic researchers used TreeAge Pro Healthcare to conduct HEOR modeling for a multi-center economic evaluation documented in the MENTOR study. TreeAge Pro Healthcare, an Analytics and BI application, was used to construct Markov models assessing cost-effectiveness of rituximab versus cyclosporine. Implementation centered on model construction and analysis workflows typical to clinical-economics research, with TreeAge Pro Healthcare used to define health states, transition probabilities, cost inputs, and quality-adjusted life year outputs. The application supported calculation of incremental cost-effectiveness ratios and both probabilistic and deterministic sensitivity analyses consistent with health economic evaluation practice. Operational scope referenced researchers affiliated with Cleveland Clinic as co-investigators in the multi-center MENTOR study within the United States healthcare context, and the paper records TreeAge Pro use in the methods section. Deployment was research-focused to support HEOR and clinical-economics functions for the study team rather than an enterprise administrative rollout. The published HEOR analysis reported rituximab as cost-effective, presenting an incremental cost-effectiveness ratio of approximately $8,373 per QALY in the model results, with TreeAge Pro cited in the methods. Reporting and model disclosure in the publication align with standard academic governance for reproducibility and methodological transparency in economic modeling. | |
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Non Profit | 5000 | $1.3B | United States | SAS Institute | SAS/STAT | Analytics and BI | 2015 | n/a |
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Communications | 99400 | $134.8B | United States | SAS Institute | SAS/STAT | Analytics and BI | 2016 | n/a |
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Education | 18369 | $8.9B | United States | SAS Institute | SAS/ETS | Analytics and BI | 2025 | n/a |
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Education | 46000 | $7.3B | United States | SAS Institute | SAS/ETS | Analytics and BI | 2025 | n/a |
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Banking and Financial Services | 924 | $165M | United States | SAS Institute | SAS/ETS | Analytics and BI | 2008 | n/a |
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Professional Services | 14000 | $3.3B | United States | Coginiti | Coginiti Platform | Analytics and BI | 2024 | n/a |
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Professional Services | 33400 | $12.0B | United States | Coginiti | Coginiti Platform | Analytics and BI | 2024 | n/a |
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Life Sciences | 125000 | $42.9B | United States | SharpCloud | SharpCloud Platform | Analytics and BI | 2020 | n/a |
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