Applied Materials vs MarketAxess

Side-by-side comparison of AI visibility scores, market position, and capabilities

Applied Materials leads in AI visibility (96 vs 70)
Applied Materials logo

Applied Materials

LeaderSemiconductor Equipment

Wafer Fab Equipment

Santa Clara semiconductor equipment (NASDAQ: AMAT) ~$27.2B FY2024 revenue; world's largest semiconductor equipment company, HBM advanced packaging for AI GPUs, 50,000+ tools worldwide competing with ASML and Lam Research.

AI VisibilityBeta
Overall Score
A96
Category Rank
#1 of 2
AI Consensus
72%
Trend
stable
Per Platform
ChatGPT
97
Perplexity
91
Gemini
99

About

Applied Materials, Inc. is a Santa Clara, California-based semiconductor and display equipment company — publicly traded on NASDAQ (NASDAQ: AMAT) as an S&P 500 Information Technology component — providing manufacturing equipment, services, and software used to fabricate virtually every chip and advanced display in the world through approximately 35,000 employees serving foundries, integrated device manufacturers, and memory makers in 24 countries. Applied Materials is the world's largest semiconductor equipment company by revenue, supplying deposition (CVD, PVD, ALD), etch, ion implant, chemical mechanical planarization (CMP), metrology and inspection, and advanced packaging equipment to leading chipmakers including TSMC, Samsung, Intel, SK Hynix, and Micron. In fiscal year 2024 (ending October 2024), Applied Materials reported revenue of approximately $27.2 billion, with strong demand driven by leading-edge foundry investments at TSMC and Samsung for AI accelerator chips and advanced memory for HBM (high-bandwidth memory) stacks used in NVIDIA and AMD AI GPUs. The company's Semiconductor Systems segment commands the largest market share of any equipment category, while the Applied Global Services (AGS) segment generates recurring spare parts and service revenue from the installed base of 50,000+ tools operating worldwide. CEO Gary Dickerson has led Applied Materials' strategy of expanding beyond commodity deposition and etch into advanced packaging, gate-all-around transistor manufacturing, and materials engineering — where Applied's breadth of materials deposition capabilities creates competitive differentiation.

Full profile
MarketAxess logo

MarketAxess

LeaderConsumer Finance

Enterprise

New York electronic bond trading (NASDAQ: MKTX) $763M FY2024 revenue; Open Trading $2T+ liquidity, 40% US IG bond electronification, portfolio trading growth competing with Tradeweb and Bloomberg.

AI VisibilityBeta
Overall Score
B70
Category Rank
#13 of 290
AI Consensus
79%
Trend
stable
Per Platform
ChatGPT
65
Perplexity
65
Gemini
68

About

MarketAxess Holdings Inc. is a New York City-based electronic fixed income trading platform — publicly traded on the NASDAQ (NASDAQ: MKTX) as an S&P 500 Financials component — operating the leading electronic trading marketplace for US investment-grade corporate bonds, US high-yield bonds, emerging market bonds, municipal bonds, and US Treasury securities through approximately 850 employees globally. In fiscal year 2024, MarketAxess reported revenues of $763 million with record trading volumes in US investment-grade bonds and emerging market credit, as the multi-year electronification trend in bond markets continued to shift institutional fixed income trading from voice broker-dealer phone execution to electronic all-to-all trading on MarketAxess's Open Trading marketplace. CEO Chris Concannon (joined 2023, formerly Cboe Global Markets president) leads MarketAxess's strategy of expanding market share beyond the institutional investment-grade core into rate products (US Treasuries, agency securities), high-yield, and portfolio trading as fixed income electronification accelerates — currently approximately 40% of US investment-grade bonds trade electronically versus 15% in 2015. MarketAxess's Open Trading protocol (anonymous all-to-all price discovery between buy-side, sell-side, and market makers) generated over $2 trillion in liquidity provision in 2024, reducing transaction costs versus bilateral dealer quotes by an average of $0.28 per $100 face value.

Full profile

AI Visibility Head-to-Head

96
Overall Score
70
#1
Category Rank
#13
72
AI Consensus
79
stable
Trend
stable
97
ChatGPT
65
91
Perplexity
65
99
Gemini
68
89
Claude
73
99
Grok
65

Capabilities & Ecosystem

Capabilities

Only Applied Materials
Wafer Fab Equipment

Integrations

Only Applied Materials

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