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
- Professional Services
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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Evernote | Professional Services | 320 | $124M | United States | Google Cloud Machine Learning Engine | ML and Data Science Platforms | 2017 | n/a | |||
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Britehouse, a Dimension Data company | Professional Services | 1400 | $200M | South Africa | SAP | SAP Leonardo Machine Learning | ML and Data Science Platforms | 2018 | n/a | In 2018, Britehouse, a Dimension Data company, deployed SAP Leonardo Machine Learning as a core capability to enter agriculture use cases, positioning the SAP Leonardo Machine Learning implementation within the ML and Data Science Platforms category. The deployment is described as part of a broader initiative to create intelligent enterprises through IoT and machine learning solutions, and it explicitly references integration with SAP Vehicle Insights and Intel technology in customer roadmaps. The implementation centers on machine learning workflows typical of ML and Data Science Platforms, including IoT data ingestion from vehicle and equipment sensors, telemetry processing, model training and inference pipelines, and predictive scheduling for harvest vehicles. Functional capabilities implemented or planned include vehicle telemetry analytics using SAP Vehicle Insights, crop and factory process modeling, and automated scheduling logic to coordinate field operations and factory inputs. Integrations cited in the roadmap include SAP Vehicle Insights for asset telemetry and Intel hardware and platform technologies for edge and compute support, enabling end to end data flow from sensors to cloud based machine learning services. Operational scope targets agriculture customers and spans field operations, equipment fleets, crop management, and factory processes, with Britehouse leveraging these components to extend Dimension Data offerings into a new industry segment in South Africa. Governance and rollout are described as long term roadmaps for customers leveraging SAP Leonardo and Intel, implying staged adoption across customer operations and alignment of data governance to manage IoT and ML data. The narrative emphasizes creating intelligent enterprises, with the stated aim that these SAP Leonardo Machine Learning solutions will efficiently manage harvest vehicle scheduling, crops, and factories through combined IoT and machine learning capabilities. | |
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Professional Services | 4261 | $286M | Japan | Microsoft | Microsoft Azure Machine Learning | ML and Data Science Platforms | 2018 | n/a |
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Professional Services | 2961 | $946M | United States | Salesforce | Salesforce Sales Cloud | Sales Automation,CRM,Sales Engagement | 2010 | n/a |
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Professional Services | 2961 | $946M | United States | Workday | Workday Financial Management | ERP Financial | 2018 | n/a |
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Professional Services | 3103 | $1.6B | United States | Oracle | Oracle iExpense | Expense Management | 2011 | n/a |
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Professional Services | 600 | $75M | United States | Oracle | Oracle NetSuite ERP | ERP Financial | 2014 | n/a |
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Professional Services | 600 | $75M | United States | Emburse | Emburse Nexonia Expenses | Expense Management | 2011 | n/a |
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Professional Services | 14300 | $5.0B | United States | Salesforce | Salesforce Sales Cloud | Sales Automation,CRM,Sales Engagement | 2015 | n/a |
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Professional Services | 14300 | $5.0B | United States | Oracle | Oracle E-Business Suite | ERP Financial | 2013 | n/a |
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