Semiconductor Industry Insights and Trends

Global chip sales neared $800 billion in 2025 and are on track to cross the $1 trillion threshold in 2026, according to recent Semiconductor Industry Association data. That's four years ahead of earlier projections. 🔥 And just last month, McKinsey & Company published their base-case market scenario at a whopping $1.6 trillion by 2030. Wow. 🤯 What's driving this acceleration? Two segments are powering virtually all of the growth: 🧠 Advanced Logic chips (AI accelerators and GPUs at the heart of data center buildouts) grew nearly 40% year-on-year in 2025. This is the largest market segment and the backbone of AI infrastructure expansion. 💾 Advanced Memory chips (high-bandwidth memory and DRAM essential to AI workloads) surged almost 35% last year, keeping pace with the voracious appetite of modern AI systems. Together, these two categories account for the vast majority of the industry's explosive 2025 performance. With both chip volume and chip prices on the rise, this dynamic amplifies revenue growth further. And given the semiconductor industry's winner-take-all dynamics, a handful of highly innovative players will capture the lion's share of profits. Meanwhile, companies in mature chip segments face a different reality. They're locked in a relentless battle on cost, scaling up operations or driving operational efficiencies just to stay competitive. Their strategic playbook: squeeze every basis point out of costs while simultaneously trying to climb into higher-growth segments and differentiate products that are increasingly commoditized. So what's next on the market's road to $1 trillion? According to SIA President John Neuffer, trends like AI and autonomous driving will sustain demand well beyond this cycle. But with supply chains tightening, component prices rising, and geopolitical tensions reshaping where and how chips are made, the road to $1 trillion may be as layered and complex as the semiconductors themselves. 💭 Sources: SIA: https://lnkd.in/eyyuBFMe McKinsey: https://lnkd.in/eirS9idW // 📫 Join the Curious Clan! Subscribe for free to my weekly newsletter Always Be Curious. The link's up there, just under my name. 🔗 You’ll get the now, how and wow of science and tech, with a special focus on the chip industry. Every Sunday morning. ☕️🥐

The data from the Mitsui & Co. Global Strategic Studies Institute presents a subtle but decisive shift in how #semiconductor leadership is being secured—not just through manufacturing scale, but through where knowledge is legally anchored. At a surface level, the numbers are straightforward: Most global leaders—Tokyo Electron, Samsung Electronics, Applied Materials, TSMC, and ASML—file a significant share of patents in the United States, often exceeding 70–90%. In contrast, Chinese entities like Chinese Academy of Sciences and NAURA Technology Group file almost entirely within China (~98%). But the strategic signal sits beneath this distribution. First insight: The US remains the global enforcement ground for IP. Filing in the US is not just about market access—it is about legal strength. The US patent system still acts as the most credible arena for defending high-value semiconductor innovations. This explains why even non-US companies anchor their IP there. Control in semiconductors is as much about litigation readiness as it is about fabrication capacity. Second insight: China is building a self-contained innovation loop. The near-total domestic filing by Chinese institutions signals a deliberate inward strategy. This is not a lag—it is a design choice. By concentrating patents locally, China is strengthening internal supply chains, reducing external dependency, and creating a protected innovation environment aligned with national priorities. Third insight: Two parallel IP ecosystems are forming. One is globally integrated, anchored around the US system. The other is domestically reinforced within China. Over time, this divergence could lead to limited interoperability—not just in technology standards, but in legal enforceability of innovation. Fourth insight: Patents are becoming strategic assets, not just legal instruments. In semiconductors, patents define control over process nodes, materials, lithography techniques, and equipment precision. Owning patents in the right jurisdiction determines who captures long-term economic value, who sets pricing power, and who controls ecosystem dependencies. This is where the conversation shifts from “innovation” to “ownership of innovation outcomes.” manufacturing builds the factory, but patents own the blueprint of the factory. One scales output, the other governs who is allowed to scale. For leadership teams, this has clear implications: R&D without a jurisdiction strategy is incomplete Market expansion must align with IP protection zones Partnerships need to account for where knowledge will be legally held National policy and corporate strategy are now tightly interlinked in deep tech sectors The semiconductor race is no longer only about nanometers. It is about where ideas are registered, defended, and monetized. Those who understand this will not just build technology—they will control its future value. DC* Dinwins

The semiconductor industry is entering its most consequential decade, driven by three defining trends. First, the integration of AI with digital twin technology is set to fundamentally transform fab operations. The ability to simulate, predict, and optimize in real time will raise yields, reduce downtime, and reshape manufacturing efficiency. Second, we are approaching a major geographic shift in advanced-node production. While Taiwan will continue leading first-generation development, the United States is positioned to expand EUV manufacturing capacity significantly over the next 3–8 years. This marks an important rebalancing of global capability. Third, AI has created unprecedented demand for computational power. Semiconductors have effectively become the strategic resource of the 21st century, influencing investment priorities and national policy alike. Keeping pace requires continuous learning, regular industry engagement, and direct dialogue with engineers, scientists, and executives across the ecosystem. However, the most valuable insights still come from in-person discussions at major industry events. My guidance to new entrants in this field is straightforward: technical expertise is expected, but long-term success depends on trust, reputation, and consistent contribution to the community. The decisions we make today will determine how the next generation of semiconductor innovation strengthens global resilience and societal progress. Source: https://lnkd.in/gsxJNzPC

AI holds great potential for the semiconductor industry and will kick-start the next round of innovation for faster, cheaper and more energy-efficient computation – that was my message today at SPIE Advanced Lithography + Patterning. I discussed the potential and the challenges that AI holds for our industry.   The potential is clearly huge. AI is rapidly integrated into applications, and high-performance compute is expected to underpin growth towards $1 trillion of semiconductor sales by 2030. The challenges are around the computing needs of AI models and related energy consumption. The compute workload of training a leading AI model has increased 16x every 2 years in recent years – much faster than the increase in computing power delivered by Moore’s law, which is about 2x every 2 years. The energy needed to train a leading model has not grown so steeply but still rose 10x every 2 years. This computing need has been met by building supercomputers and massive data centers. If you extrapolate these trends, training a leading AI model would need the entire world-wide electricity supply in about 10 years. That’s clearly not realistic, so the trend has to break, by training algorithms becoming more efficient and by chips becoming more efficient. In other words, the needs of AI will stimulate immense innovation in chip design and manufacturing – and the potential value of AI to our society will put urgency and funding behind that drive. As a consequence, chip makers are pulling all levers to accelerate semiconductor scaling. This includes lithographic “2D” scaling: shrinking the dimensions of transistors to pack more into a square millimeter. It will also include “3D” integration, with innovations like backside power delivery, transistor designs like gate-all-around, as well as stacking chips in the package, where holistic lithography will play a critical role to deliver performance requirements. ASML will support these trends through a comprehensive, holistic lithography portfolio. Our 0.33 NA/0.55 NA EUV lithography systems allow chip makers to shrink dimensions at the lowest possible cost on their critical layers, while tightly matched and highly productive DUV systems will continue to reduce cost. More than ever, metrology and inspections tools – whose data is fed into lithography control solutions that keep the patterning process operating within tight specs to deliver the highest possible production yields – will be essential to deliver 2D scaling and 3D integration processes. 3D integration requires wafer-to-wafer bonding, and we have demonstrated the capability to map the stresses and distortions that bonding creates and to compensate for them, reducing overlay errors for post-bonding patterning by 10x or more.   It was a pleasure catching up with the industry’s lithography and patterning experts in San Jose. I’m excited to see our collective innovation power having a go at these challenges. Together, we will push technology forward.

In the last 20 years, the semiconductor industry has managed to double its performance every 1.2 years, while energy efficiency has only doubled every 2.2 years. This means that performance gains have outpaced efficiency improvements. If this trend continues, the projected #energy efficiency will require 500 MW in 10 years to achieve a Zeta-flops performance. This consumption is equivalent to half the output of a nuclear power plant, which is not sustainable. To address these challenges, industry leaders are focusing on more energy-efficient solutions, such as new processor architectures or placing memory closer to the computing units, which can drastically reduce energy consumption. The development of new, more energy-efficient chips and computing paradigms, including neuromorphic computing methods, heavily relies on material and process #innovations. The #semiconductor industry requires a new mindset and collaboration. By transforming the entire value chain towards a data-driven and increasingly collaborative approach, we can enhance the manufacturing process, accelerate material innovation, and ultimately promote #sustainability. EE Times | Electronic Engineering Times https://lnkd.in/dVdph3Dq

The semiconductor industry isn’t one industry. It’s 8 industries stacked on top of each other. And most people only ever see one. That’s why the semiconductor world feels so confusing from the outside. Different business models. Different incentives. Different bottlenecks. Here’s the simplest way to understand how it actually works 👇 1) Chip design (fabless) These companies design chips but don’t manufacture them. They create the architecture and rely on foundries to build it. Top players: NVIDIA, Qualcomm, Broadcom, AMD, MediaTek 2) In-house chip designers Their core business isn’t chips. The silicon exists to power their own products or platforms. Top players: Apple, Google, Amazon, Tesla, Microsoft 3) IP & design tools The invisible layer. Without these tools and IP blocks, nothing gets taped out. Top players: Arm, Cadence, Synopsys 4) Foundries They turn designs into silicon. Extreme precision. Massive capital. Zero room for mistakes. Top players: TSMC, Samsung Foundry, UMC, GlobalFoundries, SMIC 5) Equipment makers They don’t make chips. They make the machines that define what chips can be made. Top players: ASML, Applied Materials, Lam Research, KLA 6) Materials & components Wafers, substrates, chemicals, passives. Unsexy — and absolutely critical. Top players: Murata, TDK, Ibiden, Unimicron, Samsung Electro-Mechanics 7) Assembly & testing (OSAT) Where chips are packaged, tested, and prepared for the real world. This step decides yield, cost, and reliability. Top players: ASE Group, Amkor, JCET 8) Integrated players (IDMs) Design and manufacturing under one roof. More control. More risk. More complexity. Top players: Intel, Samsung, Micron, Texas Instruments, Infineon Final products (OEMs) They don’t care how the chip was made. They care that it works, ships on time, and hits cost targets. The key takeaway: No single company “builds a chip.” A chip is the result of a global relay race, where every handoff matters. That’s why semiconductors are hard to scale, slow to localize, and impossible to simplify. Which layer of this stack do you think is the most misunderstood? P.S If you test chips or electronics in the lab, try TestFlow AI free: testflowinc.com Follow me Ali Kamaly for more semiconductor insights every day. ♻️ Repost and save this post to help your network learn about semiconductors,

🚨 Semiconductor CapEx just told us where the future is going. 1) Memory is back — aggressively Memory CapEx jumps from $54.9B (2024) → $90.3B (2026) This is a massive cyclical recovery, driven by AI-driven demand (HBM, DRAM, NAND rebound) 2) Samsung Electronics is steady, not aggressive Only 1% growth in 2025, then 20% in 2026 Indicates a measured, supply-disciplined strategy 3) Micron Technology is going all-in CapEx grows 70% (2025) + 45% (2026) Clear signal: HBM + AI memory leadership push 4) SK Hynix is the biggest AI winner CapEx surges 66% → 42% Likely tied to dominance in HBM supply for AI GPUs 5) Foundry CapEx is booming again From $45.1B → $72.2B (2026) Growth: 23% (2025), 30% (2026) Driven by advanced nodes + AI chips + geopolitics 6) TSMC is the clear leader CapEx jumps to $54B in 2026 Alone contributes a huge share of global expansion Reinforces monopoly-like control at advanced nodes 7) China is plateauing (for now) SMIC: flat in 2026 Indicates constraints from export controls + tech limitations 8) GlobalFoundries shows a late surge 70% growth in 2026 (from small base) Likely driven by mature node demand + regionalization (US/EU) 9) IDMs are pulling back sharply From $55B → $37.5B (2026) A structural shift: 👉 Moving away from integrated model 👉 More outsourcing to foundries 10) Intel stabilizes after cuts Big drop in 2025 (-29%) but flat in 2026 Suggests pause phase before next big investment cycle (possibly tied to foundry strategy) Bonus Insight: Industry direction is clear Winners: Memory + Foundries (AI-driven) Losers (short-term): Traditional IDMs Big theme: 👉 AI is reshaping CapEx priorities 👉 Supply chains are becoming regional + strategic

🔧 Semiconductor Manufacturing Equipment in 2025: Market Titans, Regional Shifts & Strategic Outlook As the world accelerates toward next-generation semiconductor technologies, manufacturing equipment remains the critical enabler at the heart of this transformation. In 2025, the global market for semiconductor tools is not just expanding—it’s being redefined by geopolitical realignment, capacity race for advanced nodes, and the structural rise of AI workloads. 🥇 Top Equipment Suppliers in 2025 ASML continues to dominate, commanding over 25% of the global market, as EUV and High-NA lithography become indispensable for 2nm and 1.4nm production nodes. Applied Materials maintains its stronghold in etch, deposition, and materials engineering, securing the second-largest share. Tokyo Electron, Lam Research, and KLA round out the top five, with each benefiting from increased capital investments by leading foundries. Other players like SCREEN, Advantest, Teradyne, and ASM International retain strategic positions in inspection, testing, and surface processing. 🌎 Global Dynamics & Regional Spending Asia-Pacific remains the dominant consumer of equipment, absorbing close to 70% of global revenues. China, despite regulatory headwinds, is set to lead again in total investment volume for chipmaking tools, followed closely by Taiwan and South Korea. The U.S. and Japan are rapidly scaling domestic capacity under national semiconductor strategies, while Europe pushes forward with IPCEI-supported mega-fab initiatives. 🔍 Key Trends Shaping the Market 🌐 AI and Edge Inference: The rollout of generative AI and edge computing is driving unprecedented demand for compute density, precision lithography, and high-throughput metrology systems. 🧠 2nm and Beyond: Sub-2nm processes are moving from R&D to production, intensifying the need for EUV and atomic-level etching, deposition, and inspection equipment. ⚖️ Geopolitical Realignment: Export restrictions and reshoring initiatives are reshaping supply chains and triggering regionally diversified fab construction. 🧪 Technological Convergence: Growth in hybrid bonding, chiplets, and advanced packaging further expands the scope of equipment requirements. 💸 Capital Expenditure Trends Global semiconductor equipment spending in 2025 is projected to exceed $100 billion, with front-end tools accounting for more than 60%. Investment in advanced process tools—particularly for 2nm/1.4nm nodes—is accelerating rapidly, with leading manufacturers frontloading capacity to secure early-mover advantage. Despite cyclicality in legacy node CapEx, structural investment for high-performance computing, AI accelerators, & Auto semiconductors remains robust. #Semiconductor2025 #EUV #AIHardware #AdvancedNodes #WaferFabs #Sub2nm #TechPolicy #CHIPSAct #FabExpansion #SemiconductorInnovation #GlobalSupplyChain #EquipmentMakers #IndustrialStrategy #Semiconductors #ChipEquipment #ASML #AppliedMaterials #TokyoElectron #LamResearch #AI

The semiconductor industry is coming off a robust year, with 19% growth in 2024. With projected sales of $697 billion in 2025, the industry is on track to hit the $1 trillion milestone by 2030 – but growing pains are expected. Deloitte’s Global Semiconductor Industry Outlook 2025 (https://deloi.tt/40MQzZn) highlights key trends shaping the future of chips: 📈 Gen AI: Gen AI chips accounted for 20%+ of all semiconductor sales in 2024—a market worth $125 billion. In 2025, that number is expected to surpass $150 billion. But there’s a catch: AI chips make up a small fraction of total wafer production, meaning overall utilization rates remain a challenge. 💻 GenAI on the Edge: In 2024 and 2025, GenAI chips are also finding homes in the enterprise edge, in computers, in smartphones, and in other edge devices such as IoT applications. 🔗 Talent shortages intensify: The semiconductor industry is expected to need 100,000+ new skilled workers annually through 2030, and the challenge of filling those jobs will be compounded by a skills gap, and an aging workforce, among other factors. The semiconductor industry is known for its boom-bust cycles, but 2025 appears to be a year of growth. All eyes will be watching to see if AI-driven demand sustains this momentum.

AI growth is masking a deeper structural shift in the semiconductor market: fabs now have the power to decide which parts of the industry move forward and which get squeezed out. This article by Evertiq captures the trend well: https://lnkd.in/g83j3VVm   The reality is that leading fabs now hold significantly more leverage than they did even 12–18 months ago.   As AI and hyperscale infrastructure consume more advanced-node capacity, foundries are prioritizing the highest-value production opportunities. Capacity that may have once been underutilized is now commanding premium pricing, longer commitments, and tighter allocation structures.   That creates a ripple effect across the broader semiconductor market. Some chipmakers are now being forced to shift production between foundries simply to secure available capacity. But semiconductor manufacturing is not something you “move” overnight; and changing foundries can introduce: -Process qualification changes -Product change notifications (PCNs) -Yield variability -Ramp-down/ramp-up supply gaps -Additional lead time pressure In many cases, this creates constraints on products that otherwise would not appear supply-constrained at all.   At the same time, bottlenecks are spreading beyond wafers and into memory, advanced packaging, substrates, and manufacturing equipment. Several indicators continue pointing toward tighter conditions ahead: -DDR4 and LPDDR4 pricing up 15–20% -DDR5 and LPDDR5 pricing up ~30% month-over-month -NAND and SSD pricing up 10–12% -Some semiconductor lead times extending toward 40 weeks -Memory suppliers reportedly sold out through 2026, and much of 2027 This no longer feels like a normal cyclical correction. It increasingly looks like a long-term restructuring of how semiconductor capacity is prioritized globally and which companies gain access to it.   The companies that will navigate this environment best are the ones investing early in supplier relationships, long-term visibility, and diversified sourcing strategies.   At Velocity Electronics, we provide more than component sourcing; we deliver the speed, expertise, and global scale our partners need to stay competitive in an increasingly capacity-constrained market. Follow us on LinkedIn to keep up-to-date on all the latest trends.