Marsh McLennan vs BNY Mellon
Side-by-side comparison of AI visibility scores, market position, and capabilities
World's largest insurance broker network (Marsh, Guy Carpenter, Mercer, Oliver Wyman); $23.4B FY2024 revenue; hard market tailwind 2019-2024; cyber insurance leader; competes with Aon, Willis Towers Watson.
About
Marsh McLennan is the world's leading professional services firm in risk, strategy, and human resources, formed through the merger of Marsh & McLennan Companies and operating four market-leading subsidiaries: Marsh (global insurance broker and risk management advisor), Guy Carpenter (global reinsurance broker), Mercer (human resources and employee benefits consulting), and Oliver Wyman (management consulting). Headquartered in New York City and trading on NYSE (MMC), the company generated approximately $23.4 billion in revenues for FY2024 under CEO John Doyle, who succeeded longtime CEO Dan Glaser in 2022 and has maintained the firm's organic growth momentum and selective acquisition strategy. Marsh, the flagship insurance brokerage, is the world's largest insurance broker by revenue, advising corporations globally on risk placement, captive insurance programs, and risk management strategies across property, casualty, marine, and specialty lines.
World's largest custodian bank with $52.1T AUC/A; rebranded to BNY 2024; AI-led transformation under CEO Robin Vince; OCC-approved digital asset custody platform.
About
BNY Mellon—rebranded as BNY in 2024—is the world's largest custodian bank and a global leader in investment services, tracing its origins to the Bank of New York founded in 1784 by Alexander Hamilton. The company trades on NYSE (BK) and reported approximately $18.6 billion in total revenue for 2024, with $52.1 trillion in assets under custody and administration (AUC/A) and $2.1 trillion in assets under management. Under CEO Robin Vince, who took the helm in 2022, BNY has executed a comprehensive technology-led transformation, simplifying its operating model and investing heavily in cloud infrastructure and AI-powered operations.
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