Side-by-side comparison of AI visibility scores, market position, and capabilities
$1.55B TTM revenue Nov 2025; 16% ARR increase June 2024; 77% recurring revenue; 20K+ enterprises in 100+ countries; IDC Leader MES 2024-2025; $9.7B GBP market cap; industrial software leader
AVEVA is an industrial software company founded in 1967 at the Cambridge University Computer Laboratory and headquartered in Cambridge, United Kingdom, that provides engineering design, operations management, and industrial information management software for asset-intensive industries. The company was built around the belief that the engineering and operational complexity of industries like oil and gas, power, chemicals, and mining requires purpose-built software — not adapted enterprise platforms. AVEVA's mission is to help industrial organizations improve engineering performance, operational efficiency, and sustainability through connected industrial intelligence. Schneider Electric completed its full acquisition of AVEVA in January 2023.\n\nAVEVA's platform spans the industrial lifecycle: AVEVA E3D for 3D engineering design, AVEVA MES for manufacturing execution, AVEVA PI System for operations data management, AVEVA Unified Operations Center for real-time operational visibility, and AVEVA Predictive Analytics for asset performance management. The PI System, acquired through its 2018 merger with OSIsoft, is the de facto standard for industrial time-series data infrastructure in process industries. AVEVA's software is deployed by over 20,000 enterprises across more than 100 countries, serving sectors including energy, chemicals, food and beverage, mining, and water utilities.\n\nAVEVA reported trailing twelve-month revenue of approximately $1.55 billion as of November 2025, with annual recurring revenue growing 16% year over year and 77% of revenue coming from recurring software subscriptions — a significant shift from its heritage as a perpetual license vendor. IDC named AVEVA a Leader in its 2024-2025 Manufacturing Execution Systems MarketScape. Its Schneider Electric ownership provides strategic capital, energy management integration opportunities, and a global sales infrastructure that amplifies AVEVA's reach into industrial customers undergoing digital transformation.
Armonk NY hybrid cloud and enterprise AI (NYSE: IBM) at $62.8B revenue; $6B+ generative AI bookings, record $12.7B free cash flow 2024, DataStax acquisition for watsonx vector database competing with Microsoft Azure for enterprise AI.
International Business Machines Corporation (IBM) is an Armonk, New York-based global technology and consulting company — publicly traded on the New York Stock Exchange (NYSE: IBM) as an S&P 500 component — providing hybrid cloud infrastructure, artificial intelligence software, and enterprise IT consulting through approximately 270,300 employees in 170 countries with $62.8 billion in annual revenue. Founded on June 16, 1911, as Computing-Tabulating-Recording Company through a merger orchestrated by financier Charles Ranlett Flint, renamed IBM in 1924 under Thomas Watson Sr., IBM has undergone multiple strategic transformations over its 110+ year history: building the System/360 mainframe platform (1964), launching the IBM PC (1981), selling the PC division to Lenovo (2005, $1.75B), and completing the $34 billion Red Hat acquisition (2019) that repositioned IBM as a hybrid cloud platform company. CEO Arvind Krishna (appointed April 2020) has focused IBM's strategy on three areas: hybrid cloud (powered by Red Hat OpenShift, the enterprise Kubernetes platform), AI (the watsonx platform for enterprise AI model development and deployment), and enterprise consulting. Under Krishna, IBM recorded $12.7 billion in free cash flow in 2024 (a company record), surpassed $6 billion in generative AI bookings since June 2023, and saw the stock price double — trading at all-time highs through 2024-2025. IBM announced the DataStax acquisition in 2025 to deepen watsonx's data layer with AstraDB (vector database for AI applications), DataStax Enterprise (Apache Cassandra), and Langflow (low-code AI agent development).
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