AI Buyer Insights:

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

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

  • Professional Services
Logo Customer Industry Empl. Revenue Country Vendor Application Category When VAR/SI Insight Insight Source
Evernote Professional Services 320 $124M United States Google Google Cloud Machine Learning Engine ML and Data Science Platforms 2017 n/a
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.
Professional Services 4261 $286M Japan Microsoft Microsoft Azure Machine Learning ML and Data Science Platforms 2018 n/a
Professional Services 2961 $946M United States Salesforce Salesforce Sales Cloud Sales Automation,CRM,Sales Engagement 2010 n/a
Professional Services 2961 $946M United States Workday Workday Financial Management ERP Financial 2018 n/a
Professional Services 3103 $1.6B United States Oracle Oracle iExpense Expense Management 2011 n/a
Professional Services 600 $75M United States Oracle Oracle NetSuite ERP ERP Financial 2014 n/a
Professional Services 600 $75M United States Emburse Emburse Nexonia Expenses Expense Management 2011 n/a
Professional Services 14300 $5.0B United States Salesforce Salesforce Sales Cloud Sales Automation,CRM,Sales Engagement 2015 n/a
Professional Services 14300 $5.0B United States Oracle Oracle E-Business Suite ERP Financial 2013 n/a
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