S&P Global vs IBM
Side-by-side comparison of AI visibility scores, market position, and capabilities
S&P Global (SPGI) reported $14.2B revenue in FY2024, up 14% YoY. Leading financial data and ratings company. S&P 500 index, credit ratings, market intelligence. HQ: New York, NY.
About
S&P Global Inc. is a leading provider of financial intelligence, credit ratings, data, research, and benchmarks, headquartered in New York City. Formed through the 2022 merger of S&P Global and IHS Markit, the combined company reported revenues of $14.2B in FY2024, up 14% year-over-year, with a market capitalization of approximately $160B. S&P Global is one of the few companies considered truly irreplaceable in the global financial system — it maintains the S&P 500 index, assigns credit ratings to sovereign and corporate debt globally, and provides the data infrastructure that powers financial markets.
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.
About
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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