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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Bayer | Life Sciences | 92815 | $55.5B | Germany | Software AG | Software AG TrendMiner | Analytics and BI | 2021 | Self Ed | In 2021, Bayer deployed Software AG TrendMiner at Crop Science sites in Germany. The AWS-hosted deployment was intended to democratize process data analytics and to support deeper root-cause analysis on reactor viscosity and other production anomalies, aligning the Software AG TrendMiner implementation with Analytics and BI use cases for time-series operational data. The implementation emphasized search-based time-series analytics, pattern detection, and interactive dashboards to enable engineers to investigate anomalies without heavy data science handoffs. Configuration work focused on indexing process signals, creating analytic workspaces for reactor viscosity, and packaging repeatable investigative workflows for production and process engineering teams. Deployment was piloted and then expanded across Crop Science production reactor sites, with rollout work beginning in 2021 and major outcomes reported by 2022. Bayer executed the program with partner eschbach while maintaining internal delivery oversight, reflecting a hybrid delivery model for operational analytics adoption. Using Software AG TrendMiner, Bayer identified specific parameter changes linked to viscosity shifts and reported an approximate 10 percent increase in reactor production capacity, an outcome documented by 2022. The implementation impacted production operations and process engineering workflows, embedding analytics-driven root-cause analysis into routine operational practice. | |
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Uk Dna Banking Network United Kingdom | Life Sciences | 15 | $1M | United Kingdom | Appeon | Appeon InfoMaker | Analytics and BI | 2003 | n/a | In 2003 Uk Dna Banking Network United Kingdom implemented Appeon InfoMaker to extend report-driven validation and functionality within its Laboratory Information Management System. The Apps Category for this implementation was "". The implementation used Sybase InfoMaker reports and Appeon InfoMaker to add field-level validation, custom reporting logic, and scripted data checks that supported sample and data management workflows for the national biobank. Configuration focused on templated report layouts, data validation rules, and automated export routines consistent with report-centric application capabilities. Integration scope was concentrated on the LIMS environment, enabling standardized sample handling across the UDBN network and operational workflows that supported distribution of more than 60,000 samples to researchers. Business functions impacted included laboratory operations, sample accessioning, quality control, and research data provisioning. Governance and rollout emphasized standardized reporting templates and procedural controls for data quality, with deployments targeting network laboratories and sample management processes. The Appeon InfoMaker implementation helped standardize sample handling and improve data quality controls while enabling large-volume sample distribution across the network. | |
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Life Sciences | 81000 | $63.6B | United States | eVSM Group | eVSM Mix | Process Mining | 2018 | n/a |
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Life Sciences | 46005 | $200.0B | United States | OpenText | OpenText ProVision | Analytics and BI,Process Mining | 2010 | n/a |
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Life Sciences | 2771 | $200M | Turkey | Veribase.com | Veribase Smart Reporting | Analytics and BI | 2019 | n/a |
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Life Sciences | 19263 | $10.1B | Netherlands | Aperture.ai | Aperture.ai | Analytics and BI | 2022 | n/a |
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Life Sciences | 500 | $5M | Ghana | Microsoft | Microsoft Power BI | Analytics and BI | 2020 | n/a |
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Life Sciences | 2250 | $250M | Turkey | Veribase.com | Veribase Smart Reporting | Analytics and BI | 2018 | n/a |
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Life Sciences | 150 | $15M | Colombia | Giitic | Giitic BI | Analytics and BI | 2023 | n/a |
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Life Sciences | 9300 | $4.4B | United States | Bedrock Analytics | Bedrock Analytics | Analytics and BI | 2025 | n/a |
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