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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Meta | Media | 75945 | $164.5B | United States | Palantir Technologies | Palantir Foundry | Analytics and BI | 2021 | n/a | ||
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Meta | Media | 75945 | $164.5B | United States | OpenAI | OpenAI Rockset | Analytics and BI | 2023 | n/a | In 2023 Meta integrated OpenAI Rockset as a component of its PyTorch and AI infrastructure in the United States. OpenAI Rockset is used in Analytics and BI workflows to improve data access and accelerate ML workflows for model development and serving. Implementation centered on modules that support PyTorch infrastructure and real time indexing for ML feature retrieval, leveraging Rockset capabilities described in vendor growth materials and announcements. The deployment was structured to provide fast query access to feature data for both iterative model development and online serving, with configuration focused on real time ingestion and indexing pipelines to enable immediate feature availability. Operational coverage was scoped to Meta engineering teams working on model development and serving in the United States, integrating OpenAI Rockset into PyTorch based pipelines and feature retrieval layers. Governance emphasized embedding the service as a data access tier within existing ML workflows, with rollout oriented toward accelerating model iteration and reducing friction for feature lookup during training and inference, consistent with the stated objective to improve data access and accelerate ML workflows. | |
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Government | 1998 | $312M | United Kingdom | IBM | IBM Cognos Planning Contributor | Analytics and BI | 2012 | Logicalis Hong Kong |
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Manufacturing | 2584 | $353M | United States | IBM | IBM Cognos Express | Analytics and BI | 2012 | Ibm |
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Non Profit | 25 | $3M | United States | Google Charts | Analytics and BI | 2013 | n/a |
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Communications | 20 | $1M | United States | Dreamdata | Dreamdata Revenue Analytics | Analytics and BI | 2023 | n/a |
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Banking and Financial Services | 900 | $80M | United States | Microsoft | Microsoft Power BI | Analytics and BI | 2017 | n/a |
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Retail | 120 | $50M | Australia | Near | CARBON | Analytics and BI | 2025 | n/a |
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Professional Services | 120 | $12M | United States | Dreamdata | Dreamdata Revenue Analytics | Analytics and BI | 2022 | n/a |
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Education | 100 | $10M | United States | Microsoft | Microsoft Power BI | Analytics and BI | 2020 | n/a |
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