Global semiconductor foundry market hit a record $320 billion in 2025 as TSMC pulled further ahead
Global semiconductor foundry market hit a record $320 billion in 2025 as TSMC pulled further ahead
The global semiconductor foundry market generated a record $320 billion in revenue in 2025, growing 16% year-over-year, according to Counterpoint Research's Foundry Market Supply Tracker published on Monday, March 30. Demand for AI GPUs and custom AI ASICs drove the gains across both advanced manufacturing and advanced packaging, with TSMC accounting for 38% of the total market and growing at more than four times the rate of its nearest competitors.
tomshardware.com
https://www.tomshardware.com/tech-industry/global-semiconductor-foundry-market-hit-a-record-320-billion-in-2025Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
marketbillionglobal
Gemma 4 just casually destroyed every model on our leaderboard except Opus 4.6 and GPT-5.2. 31B params, $0.20/run
Tested Gemma 4 (31B) on our benchmark. Genuinely did not expect this. 100% survival, 5 out of 5 runs profitable, +1,144% median ROI. At $0.20 per run. It outperforms GPT-5.2 ($4.43/run), Gemini 3 Pro ($2.95/run), Sonnet 4.6 ($7.90/run), and absolutely destroys every Chinese open-source model we've tested — Qwen 3.5 397B, Qwen 3.5 9B, DeepSeek V3.2, GLM-5. None of them even survive consistently. The only model that beats Gemma 4 is Opus 4.6 at $36 per run. That's 180× more expensive. 31 billion parameters. Twenty cents. We double-checked the config, the prompt, the model ID — everything is identical to every other model on the leaderboard. Same seed, same tools, same simulation. It's just genuinely this good. Strongly recommend trying it for your agentic workflows. We've tested 22 models so
We Got Called Out for Writing AI Success Theatre — Here's What We're Changing
We Got Called Out for Writing AI Success Theatre — Here's What We're Changing A developer read our Sprint 7 retrospective and compared it to "CIA intelligence histories — designed to make the Agency seem competent and indispensable, even when it isn't." That stung. And then I realized: he's right. The Problem He Identified Nick Pelling is a senior embedded engineer who's been watching our AI-managed development project. We've published retrospective blog posts after every sprint — nine so far. His feedback was blunt: "The blog's success theatre has an audience of one." "Logging activities is a stakeholder-facing thing, but not very interesting to non-stakeholders." "Maybe you need a second blog that other people might be more interested to read." He's pointing at a real failure: we optimiz
Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.
The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligence, from massive industry investments to critical safety considerations and integration into core development processes. Key Areas Explored: Record-Breaking Investments: Major tech firms are committing billions to AI infrastructure, signaling a significant acceleration in the field. AI in Software Development: We examine how companies are leveraging AI for code generation and the implications for engineering workflows. Safety and Responsibility: The increasing focus on ethical AI development and protecting vulnerable users, particularly minors. Market Dynamics: How AI is influencing stock performance, cloud computing strategies, and
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Market News
Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.
The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligence, from massive industry investments to critical safety considerations and integration into core development processes. Key Areas Explored: Record-Breaking Investments: Major tech firms are committing billions to AI infrastructure, signaling a significant acceleration in the field. AI in Software Development: We examine how companies are leveraging AI for code generation and the implications for engineering workflows. Safety and Responsibility: The increasing focus on ethical AI development and protecting vulnerable users, particularly minors. Market Dynamics: How AI is influencing stock performance, cloud computing strategies, and
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!