Arm's New Chip Expected to Generate $15 Billion in Annual Revenue by 2031
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Mar 25 2026
0mins
Source: Newsfilter
- Chip Launch: Arm unveiled its first internal AGI CPU chip in San Francisco, specifically designed for AI inference in data centers, with an expected annual revenue of $15 billion by 2031, showcasing the company's strong competitive position in the rapidly growing AI market.
- Customer Base Expansion: Major clients such as Meta, OpenAI, Cloudflare, and SAP are among the first users of the new chip, indicating strong market demand for Arm's latest product and reflecting the company's strategic positioning in the AI sector.
- Significant Revenue Projections: Arm anticipates total annual revenue reaching $25 billion by 2031, a sixfold increase from $4 billion in 2025, with CEO Rene Haas stating that this forecast will drive earnings per share to $9, significantly boosting investor confidence.
- Positive Market Reaction: Arm's stock rose approximately 13.2% in premarket trading, with analysts calling the announcement the most significant shift in the company's history, projecting $7.5 billion in incremental gross profit and $5 billion in operating profit, further solidifying its market position.
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Analyst Views on ARM
Wall Street analysts forecast ARM stock price to fall
24 Analyst Rating
19 Buy
4 Hold
1 Sell
Strong Buy
Current: 353.290
Low
120.00
Averages
160.58
High
201.00
Current: 353.290
Low
120.00
Averages
160.58
High
201.00
About ARM
Arm Holdings plc is a United Kingdom-based company. The Company is engaged in the design of central processing units (CPUs) and compute platforms for semiconductor chips. It develops and licenses CPU products and related technology. Its cloud and data center solutions include Arm AGI CPU and Arm Neoverse Compute Subsystems. The Arm Agentic Generalized Infrastructure (AGI) CPU is a production-ready system on a chip (SoC) for artificial intelligence (AI) data centers, delivering compute at scale. The Arm Neoverse Compute Subsystems (CSS) are pre-validated, performance-optimized compute platforms designed to accelerate infrastructure silicon development. The Company's primary markets include smartphone applications, processors and other chips used in mobile phones, consumer electronics, networking equipment, cloud and data center servers, automotive applications, Internet of Things (loT) and other embedded computing devices.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
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- Market Sentiment Shift: Retail sentiment towards ARM has shifted from 'bearish' to 'bullish', with message volume surging over 700% in the last 24 hours, reflecting investor optimism for the stock to reach between $500 and $800, further propelling its price increase.
- AI Market Potential: Nvidia anticipates $20 billion in CPU revenue this year, with the Vera CPU market size at $200 billion, indicating that AI infrastructure spending will push more ARM cores into data centers and automotive platforms, enhancing ARM's long-term growth prospects.
See More
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- Capital Deployment: Softbank's landmark investments in Alibaba, OpenAI, and ARM have transformed it into an AI platform, allowing it to surpass Toyota as Japan's most valuable company, showcasing its influence in the global tech market.
- Infrastructure Investment: Softbank plans to invest $75 billion in AI infrastructure in France, including 5 GW of AI data center capacity, aimed at enhancing its competitiveness and market share in the global AI sector.
- Market Outlook: Son believes AI's potential is 50 times greater than the dot-com bubble, asserting that while market corrections may occur, they will present the best investment opportunities, emphasizing the strategic significance of long-term investments.
See More
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- AI Performance Boost: The new chip will cater to 120B-parameter large language models with 1 petaflop of AI performance, which is expected to enhance Nvidia's market share in the AI sector and further solidify its leadership in high-performance computing.
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