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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- Utilities
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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China General Nuclear Power Corporation | Utilities | 39000 | $5.7B | China | SAP | SAP Leonardo Machine Learning | ML and Data Science Platforms | 2017 | n/a | In 2017 China General Nuclear Power Corporation deployed SAP Leonardo Machine Learning to build a classification model to judge operation incidents, positioning the work within the ML and Data Science Platforms category for operational incident management. The implementation focused on using supervised classification techniques to categorize incident records and support engineering triage and operations decision making. The SAP Leonardo Machine Learning implementation encompassed data ingestion and feature engineering pipelines, model training and validation workflows, and production model deployment and versioning. Practical capabilities implemented included label creation from historical incident logs, automated feature extraction from structured operational records, model evaluation and validation checkpoints, and hosted scoring services that feed classification outputs back into incident handling procedures. Operationally the project targeted operations and maintenance business functions, embedding classification outputs into incident triage workflows and engineering response processes. Governance was structured around model lifecycle management and data stewardship, with repeatable retraining workflows and validation gates to maintain classification relevance as incident patterns evolved. | |
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China Longyuan Power Group | Utilities | 7295 | $5.2B | China | Coremail | Coremail Enterprise Mailbox | Secure Email Gateways (SEGs) | 2019 | n/a | ||
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Utilities | 7295 | $5.2B | China | China Energy | Guoneng Chain | Blockchain Platform | 2022 | n/a |
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Utilities | 200 | $19M | Italy | GoDaddy | GoDaddy Webmail | Collaboration | 2015 | n/a |
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Utilities | 200 | $19M | Italy | GoDaddy | GoDaddy | Application Hosting and Computing Services | 2019 | n/a |
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Utilities | 200 | $19M | Italy | Cloudflare | Cloudflare CDN | Content Delivery Network | 2020 | n/a |
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Utilities | 200 | $19M | Italy | MailUp | MailUp | Marketing Automation | 2021 | n/a |
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Utilities | 200 | $19M | Italy | Functional Software | Sentry | Application Performance Management | 2022 | n/a |
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Utilities | 200 | $19M | Italy | Wix.com | Wix.com | Web Content Management | 2022 | n/a |
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Utilities | 200 | $19M | Italy | Google Cloud CDN | Content Delivery Network | 2022 | n/a |
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