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
- Analytics and BI
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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New Plymouth District Council | Government | 530 | $103M | New Zealand | Microsoft | Microsoft Power BI | Analytics and BI | 2021 | n/a | ||
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Piller Blowers & Compressors | Manufacturing | 530 | $154M | Germany | SAP | SAP Business Data Cloud | Analytics and BI | 2026 | n/a | In 2026, Piller Blowers & Compressors implemented SAP Business Data Cloud to establish a business data fabric architecture. The deployment is positioned in Analytics and BI to harmonize disconnected systems and produce trusted, business ready data products that accelerate analytics and enable AI use cases. The implementation emphasizes data model harmonization and a centralized metadata plane, using SAP Business Data Cloud to provide cataloging, lineage tracking, semantic modeling and data productization capabilities. Configuration prioritized a business data fabric approach that standardizes schemas and exposes governed datasets for downstream analytics and AI workloads. Operationally the fabric brings together previously disconnected on premise and cloud sources so analytics teams can consume standardized, business ready data sets. The architecture links manufacturing and enterprise records with cloud sourced data into a unified fabric, supporting analytics pipelines and AI model input without naming specific upstream systems. Governance and process work focused on defining data product ownership, stewardship, and a common taxonomy to support publication of governed data products through SAP Business Data Cloud. Piller states the implementation is intended to accelerate analytics and unlock AI use cases, outcomes reported without quantitative detail. | |
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Distribution | 531 | $261M | United Kingdom | Oracle | Oracle OBIEE | Analytics and BI | 2014 | n/a |
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Utilities | 532 | $164M | Australia | Oracle | Oracle OBIEE | Analytics and BI | 2016 | n/a |
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Media | 532 | $180M | Spain | Chartbeat | Chartbeat | Analytics and BI | 2011 | n/a |
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Banking and Financial Services | 532 | $22M | Costa Rica | Microsoft | Microsoft Power BI | Analytics and BI | 2024 | n/a |
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Banking and Financial Services | 534 | $1.7B | United Kingdom | Microsoft | Microsoft Power BI | Analytics and BI | 2021 | n/a |
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Professional Services | 534 | $50M | United Kingdom | SAP | SAP BusinessObjects | Analytics and BI | 2016 | n/a |
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Healthcare | 535 | $200M | United States | Microsoft | Microsoft Power BI | Analytics and BI | 2016 | n/a |
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Consumer Packaged Goods | 535 | $250M | United Kingdom | SAP | SAP BW (Business Warehouse) | Data Warehouse | 2013 | n/a |
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