AI Buyer Insights:

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Apps Purchases: 10+ Million Software Purchases

App 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
Arcadis Philippines Professional Services 1900 $320M Philippines Oracle Oracle Analytics Cloud Analytics and BI 2020 n/a
Back Market Retail 700 $320M France Google Google BigQuery Data Warehouse 2024 n/a In 2024, Back Market adopted Google BigQuery as its Data Warehouse to underpin a strategic migration of its cloud infrastructure to Google Cloud and to support international expansion. The implementation of Google BigQuery establishes a centralized enterprise data warehouse platform for Back Market, intended to improve the speed and ease with which the company manages data at scale and to provide higher security guarantees for marketplace data. The deployment centers on data ingestion, scalable analytics, and analytics-ready datasets that feed generative AI workflows, with Google BigQuery functioning as the primary storage and query engine. Functional capabilities implemented include large scale analytics, dataset provisioning for machine learning, and secure data governance controls consistent with Data Warehouse operational patterns. Integrations are explicit and material to the implementation, Back Market is leveraging Vertex AI for generative AI solutions that query BigQuery hosted datasets, and the arrangement builds on Back Market's prior adoption of Google Workspace for internal communications. Operational coverage spans Back Market's global marketplace and customer service operations, where data served from Google BigQuery will support customer, merchant, and operations analytics use cases. The rollout reframes customer service workflows by enabling service agents to access consolidated historical context and to use generative AI summaries powered by Vertex AI and Google BigQuery, which is described as accelerating resolution consistency and speed. The migration to Google Cloud and adoption of Google BigQuery also signals a shift in infrastructure governance toward cloud native data management, with centralized controls for security and sustainability alignment. Outcomes stated by the parties include improved operational efficiency and capacity, higher security guarantees for enterprise data, and a lower carbon footprint resulting from Google Cloud infrastructure that supports Back Market's sustainability strategy. Back Market also plans broader exploration of generative AI scenarios, including language translation, content creation, and text analysis, to deliver more personalized services for customers and vendors.
Consumer Packaged Goods 1217 $320M Pakistan SAP SAP BW (Business Warehouse) Data Warehouse 2018 Ibm
Manufacturing 1400 $320M Australia Near CARBON Analytics and BI 2024 n/a
Consumer Packaged Goods 1400 $320M India Microsoft Microsoft Power BI Analytics and BI 2021 Acxiom Consulting
Manufacturing 1500 $320M United States Microsoft Microsoft Power BI Analytics and BI 2016 n/a
Professional Services 1500 $320M Sweden Oracle Oracle Analytics Cloud Analytics and BI 2024 n/a
Media 2700 $320M United Kingdom Oracle Oracle Fusion Data Intelligence Platform Analytics and BI 2024 n/a
Government 2000 $320M United States Palantir Technologies Palantir Foundry Analytics and BI 2023 n/a
Transportation 1800 $320M Bolivia Chartbeat Chartbeat Analytics and BI 2014 n/a
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