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
- Government
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Pacific Northwest National Laboratory | Government | 6400 | $1.6B | United States | Microsoft | Microsoft Azure High Performance Computing (HPC) | Cognitive Computing | 2024 | n/a | In 2024, Pacific Northwest National Laboratory implemented Microsoft Azure High Performance Computing (HPC) in collaboration with Microsoft to accelerate materials discovery for battery technology, under the Cognitive Computing category. The deployment used Azure Quantum Elements to combine AI-driven screening with Azure HPC compute for end-to-end candidate generation and validation across PNNL research projects in the United States. The implementation integrated AI-accelerated screening pipelines with HPC validation workflows using Microsoft Azure High Performance Computing (HPC). Functional capabilities included high-throughput candidate scoring, model-driven down-selection, orchestration of large batch simulations, and physics-based validation runs on Azure HPC resources. Integrations centered on Azure Quantum Elements' AI stack feeding prioritized shortlists into PNNL experimental workflows, enabling a computational to laboratory handoff. Operational coverage targeted materials discovery for battery electrolytes and linked computational chemistry models with materials science and synthesis teams within PNNL's US-based research operations. Governance established iterative AI screening, human expert review, and rapid lab validation cycles to compress R&D timelines. The collaboration screened approximately 32.6 million candidate materials, narrowed them to a short list of high-potential electrolytes in days, and PNNL synthesized and validated the chosen candidate, demonstrating major R&D acceleration. | |
|
|
Pacific Northwest National Laboratory | Government | 6400 | $1.6B | United States | Microsoft | Microsoft Azure Quantum Computing | Cognitive Computing | 2024 | n/a | In 2024 Pacific Northwest National Laboratory partnered with Microsoft to deploy Microsoft Azure Quantum Computing using Azure Quantum Elements to accelerate materials discovery for energy storage. The initiative is categorized as Cognitive Computing and targeted scientific discovery workflows in materials science research in the United States. The implementation centered on Azure Quantum Elements capabilities, combining AI model training and high performance computing simulation alongside quantum and quantum inspired compute methods to shorten candidate screening cycles. Configuration emphasized workload orchestration for simulation and inference, enabling rapid proof of concept runs that integrated AI driven property prediction with HPC scale simulations. Operational scope covered PNNL research groups focused on energy storage materials and electrolyte discovery, with collaborative governance between PNNL scientists and Microsoft technical teams to coordinate experiment pipelines and compute provisioning. The R&D collaboration delivered a rapid proof of concept and identified a new electrolyte candidate that could substantially reduce lithium usage, demonstrating Microsoft Azure Quantum Computing applied to materials science research and scientific discovery workflows under the Cognitive Computing category. | |
 |
|
Government | 6400 | $1.6B | United States | Safran Software | Safran Risk Manager | Risk Management | 2019 | n/a |
|
|
|
|
|
Government | 6399 | $14.1B | Indonesia | Tableau Software | Tableau | Analytics and BI | 2022 | n/a |
|
|
|
|
|
Government | 6399 | $14.1B | Indonesia | Google Workspace (Formerly Google G-Suite) | Collaboration | 2016 | n/a |
|
|
|
|
|
|
Government | 6391 | $80M | India | CP Plus International | CP Plus Camera | Video Security Cameras | 2020 | n/a |
|
|
|
|
|
Government | 6391 | $80M | India | Red Hat | Red Hat Enterprise Linux | Apps Development | 2011 | n/a |
|
|
|
|
|
Government | 6391 | $80M | India | Visa | Visa Authorize.Net | Payment Processing | 2016 | n/a |
|
|
|
|
|
Government | 6391 | $80M | India | Adobe Systems | Adobe Connect | Audio Video and Web Conferencing | 2018 | n/a |
|
|
|
|
|
Government | 6391 | $80M | India | Cisco Systems | Cisco Webex Meetings | Audio Video and Web Conferencing | 2018 | n/a |
|
|