Global semiconductor market to reach $97.5 billion in 2026, with AI-driven growth accelerating.

Key data:

· Global semiconductor market size (2025): approximately $792 billion

· Q1 2026 sales of $298.5 billion

· Projected to reach approximately $975 billion in 2026

NVIDIA's revenue for fiscal year 2026 is $215.9 billion.

TSMC's net profit for Q1 2026 increased by 58% year-over-year.

Why semiconductors are more important than ever

Semiconductors are the physical foundation of artificial intelligence, cloud computing, smartphones, electric vehicles, and defense systems. Every time an AI model generates a response, chips perform billions of calculations in milliseconds—all running on silicon.

Unlike previous cycles driven by single devices such as phones or PCs, the current surge is powered by AI infrastructure spending. In 2026, the five major hyperscalers have committed to investing over $600 billion in AI infrastructure, a 36% year-over-year increase.

This fundamental shift in demand structure is evident in the fact that high-value AI chips account for approximately half of the industry’s revenue, yet make up less than 0.2% of total shipments. Semiconductors have evolved from consumer electronics components into strategic assets for giants with market valuations exceeding $10 trillion.

Educational note: A modern AI chip contains billions of transistors etched onto a silicon wafer the size of a fingernail. The "nanometer" value of the chip represents the size of these features—the smaller the nanometer number, the more transistors can be integrated onto the chip, resulting in greater computing power. More advanced nodes require increasingly complex manufacturing processes.

II. Four Core Tracks: Who Is Controlling the Silicon Wafer Blueprint?

Investors must understand the four key roles in the supply chain rather than conflating them:

Fabless companies (architects): These firms design chips but do not manufacture them themselves. They own the intellectual property and deliver their design blueprints to manufacturers. Since they do not operate fabrication plants, they enjoy the highest gross margins in the technology sector, typically exceeding 70%. NVIDIA, AMD, Qualcomm, Apple, and Broadcom are all fabless companies.

Contract manufacturer: Contract manufacturers carry out large-scale chip production in massive facilities known as fabs, with the construction cost of a single facility reaching up to $20 billion or more. TSMC accounts for approximately 70% to 72% of global contract manufacturing revenue and produces about 90% of the world’s most advanced chips at 3 nanometers and below. Every NVIDIA Blackwell GPU, every Apple A-series processor, and every advanced AI accelerator used by hyperscale cloud providers comes from TSMC’s fabs in Taiwan. This concentration means that the world’s most critical technology supply chain operates within a geographic area roughly the size of Belgium, just 180 kilometers from mainland China.

Equipment manufacturers (tool providers): Without machines to manufacture chips, chips cannot be made. ASML is the only company in the world capable of producing extreme ultraviolet (EUV) lithography machines, which are essential for patterning chip features at 7 nanometers and below. Without ASML, the entire semiconductor technology roadmap would come to a halt. Applied Materials, Lam Research, and KLA provide other critical tools needed for deposition, etching, and inspection processes.

Memory vendors (storage layer): High Bandwidth Memory (HBM) is positioned adjacent to GPUs in data center servers, delivering data to the chip at speeds unattainable by any traditional memory. Without sufficient HBM, even the world’s fastest GPUs would sit idle, waiting. SK hynix, Samsung, and Micron are the three leading manufacturers. HBM sales are projected to exceed $30 billion in 2025, with total memory revenue expected to reach approximately $200 billion in 2026.

III. Regional Dynamics: The博弈 and Restructuring of Global Supply Chains

The semiconductor industry has become central to global economic security. In today's complex international environment, investors must closely focus on the profound restructuring of supply chains and policy spillover effects:

Industrial reshoring and localization: As multiple countries implement semiconductor incentive policies, the geographic concentration of advanced processes is beginning to diversify moderately. The progress of TSMC’s Arizona facility has become a benchmark for “supply chain resilience,” and early procurement agreements by giants like Apple signal a global shift in advanced manufacturing capacity from a single region toward a multipolar distribution.

Technical Access and Market Adaptation: Strict export controls are forcing multinational chip giants to reassess their revenue structures. Companies like NVIDIA and ASML are maintaining their global market share by developing customized products within compliance frameworks. This “compliance-driven innovation” is both a survival strategy for businesses and a reflection of the rigid global demand for high-performance computing power.

Reallocation of computing resources: In regions with restricted access to computing power, the industry logic is shifting from “pursuing maximum computing power” to “optimizing computing efficiency.” Leading domestic manufacturers and model developers are attempting to alleviate the structural imbalance between computing supply and demand through software optimization, architectural innovations (such as compute-in-memory), and deployment of localized alternative solutions in specific scenarios.

New forms of cross-border flows: Under the inertia of globalization, the cross-border movement of computing resources is taking on more covert and diverse forms. Policymakers are strengthening regulation by enhancing supply chain transparency and establishing chip traceability mechanisms. For investors, this means compliance risk has become a key dimension in evaluating the premium of semiconductor assets.

Four: Key Companies Worth Researching

NVIDIA (NVDA)

NVIDIA is the most iconic company in the current semiconductor cycle. Its GPUs have become the default hardware for training AI models, and the CUDA software platform has built a software ecosystem moat more enduring than any hardware advantage.

Key Financial Data:

• Total revenue for fiscal year 2026: $215.9 billion, a 65% year-over-year increase (SEC Form 8-K, February 2026)
• Data center revenue: approximately $193.7 billion to $194 billion, up 68% year-over-year
• Q4 revenue for fiscal year 2026: $68.1 billion, up 73% year-over-year
• NVIDIA accounts for approximately 15.8% of global semiconductor market revenue.
• Forward P/E ratio: approximately 32x

The core issues investors are concerned about:

• The Vera Rubin platform is built on TSMC’s 3nm process and features 336 billion transistors, reducing inference costs by up to 10 times compared to Blackwell. AWS, Google Cloud, Microsoft Azure, and Oracle Cloud have all committed to deployment. NVIDIA has secured the majority of HBM4 supply from SK Hynix and Samsung.
• The depth of CUDA's moat exceeds the understanding of most investors. Millions of developers have written AI software based on CUDA, and switching to competing chips would require rewriting years of accumulated code, creating significant migration friction.
• Google, Amazon, and Microsoft are each developing their own internal chips to reduce dependence on NVIDIA, representing the most significant long-term structural risk.
• Export controls on China are one of the most significant hidden revenue pressures among tech companies today.

TSMC (TSM)

TSMC is both the most critical and the most geographically concentrated node in the global technology supply chain.

Key Financial Data:

• 2025 Revenue: Approximately $122.5 billion to $122.9 billion, representing year-over-year growth of approximately 31% to 36%
• Q1 2026 net profit: up 58% year-over-year, marking the fourth consecutive quarter at an all-time high
• Q2 2026 revenue guidance: $39 billion to $40.2 billion
• Capital expenditures for fiscal year 2026: $52 billion to $56 billion
• In Q1 2026, 74% of wafer revenue came from advanced processes at 7 nanometers and below.
• Forward P/E ratio: approximately 24x

The core issues investors are concerned about:

• TSMC is the most direct beneficiary of AI chip spending, regardless of who wins, serving as a capacity-driven infrastructure play on the entire AI theme rather than a targeted bet on any single winner.
• The geopolitical risk premium explains the valuation discount of TSMC relative to NVIDIA and Broadcom, despite its revenue growth rate being comparable to or even stronger than theirs. Investors must actively assess whether a 24x forward P/E ratio adequately reflects the risk associated with a scenario that has never occurred.
• The Arizona campus is real, but currently on a limited scale. The second factory is expected to begin 3-nanometer production by the end of 2026, with Apple’s chip procurement agreement providing early commercial validation.

ASML

ASML is the only company in the world capable of manufacturing EUV lithography machines. Without these machines, chips below 7 nanometers cannot be produced; without these chips, advanced AI is not possible.

The core issues investors are concerned about:

• ASML's monopoly on EUV technology is the result of decades of accumulated expertise in physics, optics, and precision mechanical engineering. No other company comes close to developing similar equipment, and this moat cannot be replicated in the short term.
• Every new semiconductor fab worldwide, whether supported by the CHIPS Act, Japan’s semiconductor investment plan, or TSMC’s expansion initiatives, represents demand for ASML equipment.
• Export restrictions to China have reduced its addressable market, and these restrictions will persist as long as the current geopolitical environment remains unchanged.
• Long-term order backlogs have provided ASML with rare revenue visibility, as customers must place orders years in advance—a rarity among most technology companies.

AMD (AMD)

AMD is NVIDIA’s most substantial competitor in AI accelerators, benefiting from the same TSMC manufacturing relationship as NVIDIA and attracting hyperscale cloud providers seeking to diversify their supplier dependencies.

Key Financial Data:

• The MI308 downgrade version (approved for export to China) achieved quarterly sales of $390 million.
• Data center GPU revenue guidance: 60% compound annual growth rate over the next five years

The core issues investors are concerned about:

• The bullish rationale lies in the demand from hyperscale cloud providers for supplier diversification. No major tech company is willing to rely entirely on a single chip supplier, and NVIDIA's market dominance has instead created a structural incentive to introduce AMD as a second supplier.
• AMD's ROCm software platform is its most critical challenge. Although it has made significant progress, it still lags behind CUDA in developer adoption. Bridging the software gap is more important than bridging the hardware gap.

Broadcom (AVGO)

Broadcom designs custom AI accelerators (ASICs) specifically for hyperscale cloud providers—chips optimized for specific workloads, rather than general-purpose GPUs. The TPU used throughout Google’s entire AI product ecosystem is a chip designed by Broadcom.

Key Financial Data:

• AI semiconductor revenue for fiscal year 2026 is expected to exceed $30 billion.
• Forward P/E ratio: approximately 41x, the highest among major semiconductor companies

The core issues investors are concerned about:

• As hyperscale cloud providers expand their AI deployments, customized chips optimized for specific workloads will become increasingly attractive. Broadcom holds a leading position in the custom chip market, with deep and stable partnerships with Google and Meta.
• A 41x forward P/E ratio demands that Broadcom maintain strong execution. Any slowdown in custom chip orders from hyperscale cloud providers would have a significant impact at this valuation level.

SK Hynix

SK Hynix leads the HBM market with a market share of approximately 53% to 62%. Its HBM3e is the standard memory for NVIDIA’s Blackwell GPUs, and HBM4 will be integrated into NVIDIA’s Rubin platform, with NVIDIA having secured the majority of HBM4 supply.

The core issues investors are concerned about:

• HBM is the true bottleneck in AI chip deployment. Even if NVIDIA delivers every GPU on time, without sufficient HBM, these GPUs cannot operate at full capacity, giving SK Hynix extraordinary pricing power in the current wave of AI infrastructure development.
• SK Hynix is listed on the Korean exchange and can be accessed through Korean brokerage accounts, select international brokers, or indirectly via semiconductor ETFs.
• Memory has historically been highly cyclical. Although HBM has a natural barrier against oversupply due to its specialized manufacturing requirements, investors must still understand the cyclical risks associated with the memory sector.

Five: Semiconductor ETF

SMH — Invesco Semiconductor ETF

The most widely used semiconductor ETF, with assets under management of approximately $46 to $47 billion, holds 26 companies spanning chip designers, foundries, equipment manufacturers, and memory producers. Major holdings: NVIDIA at approximately 19.4%, TSMC at approximately 11.6%, and Broadcom at approximately 7.7%. Expense ratio: 0.35%. Widely regarded as the most efficient single tool for gaining exposure to the full AI semiconductor supply chain.

SOXX — iShares Semiconductor ETF

The closest competitor to SMH, holding 30 companies, has a long-term historical return rate roughly equivalent to SMH. Management fee: 0.35%. The five-year return as of 2025 is approximately 140%.

SOXQ — Invesco PHLX Semiconductor ETF

Offers exposure roughly equivalent to the SMH and SOXX sectors, with a significantly lower management fee. Management fee: 0.19%, the lowest among major semiconductor ETFs, making it the optimal choice for cost-conscious investors seeking similar sector exposure.

Educational note: When comparing ETFs, pay attention to the weight construction methodology. SMH uses capped market-cap weighting to prevent excessive concentration in NVIDIA. Understanding how an ETF is constructed helps you know exactly what you’re holding and how its performance may differ during sector rotations.

Six, 2026 Key Risk Warnings

AI concentration risk. The entire industry has put all its eggs in the AI basket. If AI infrastructure spending slows due to underwhelming monetization, geopolitical shocks, or efficiency breakthroughs, the impact on semiconductor revenues will be direct and immediate. Deloitte has explicitly identified this as a core risk, even amid record-breaking industry revenues.

Geopolitical and supply chain risks. TSMC produces approximately 90% of the world’s most advanced chips in Taiwan. Any disruption to Taiwan’s manufacturing operations would have a real and难以过分强调 impact on the entire global technology industry. The diversification effort in Arizona is underway, but it will still take years to truly shift manufacturing重心 away from Taiwan.

Uncertainty in export control policies. U.S. semiconductor export controls are influenced by political factors and carry a risk of policy changes. The current administration has maintained some restrictions while relaxing others, including rescinding the Biden-era AI proliferation rules. Future policy decisions could open new markets for U.S. chip companies or close existing channels.

Periodic memory risk. Driven by AI-powered demand, consumer memory prices have risen approximately fourfold between September and November 2025, and are expected to increase by up to 50% further by early 2026. Deloitte warns that memory capacity expansion could trigger oversupply and a price crash by late 2026 or 2027. Markets that overshoot on the upside often overshoot on the downside.

Valuation risk. NVIDIA’s forward P/E ratio of approximately 32 times and Broadcom’s of around 41 times embed extremely high growth expectations. Even if underlying business fundamentals remain solid, a single quarter of revenue below expectations, lowered guidance, or a shift in market sentiment could trigger a sharp decline in stock price.

Seven: Key Catalysts to Watch

Trillion-dollar milestone. Semiconductor sales reached $298.5 billion in Q1 2026, making the annual target of $975 billion to $1 trillion highly attainable. The key question dominating the sector is whether the momentum can be sustained in the second half, or if slowing AI spending will lead to a weaker year-end.

TSMC's Arizona facility is ramping up production. The second Arizona factory will begin 3-nanometer chip production by the end of 2026. Yield and output will determine how quickly the U.S. reduces its reliance on Taiwanese manufacturing; Apple's chip procurement agreement provides the first meaningful commercial validation.

NVIDIA Vera Rubin platform deployment. The promise of a 10x reduction in inference costs is NVIDIA’s most important product milestone. Successful deployment by hyperscale cloud providers will significantly extend NVIDIA’s data center revenue growth curve; any delay or failure to meet performance targets would be a major negative catalyst.

AMD's market share progress. AMD's MI350 and MI400 products, expected to launch in 2026, will test whether its ROCm software improvements are sufficient to drive large-scale adoption by hyperscale cloud providers, beyond current pilot projects.

Memory pricing and HBM4 supply. The integration of HBM4 with NVIDIA's Rubin platform has created new demand momentum. Tracking SK Hynix's HBM4 production yields, as well as Samsung and Micron's progress in HBM4 product certification, will be key indicators for determining memory layer pricing dynamics in 2027.

Thought framework for analyzing this section:

• Investors seeking the highest-confidence AI chip exposure will focus on NVIDIA, accepting the risks associated with export control-related revenue constraints and current valuation levels.
• Investors seeking exposure to AI infrastructure while reducing concentration risk in individual stocks will research SMH or SOXX, which cover the full supply chain.
• Investors who believe that the geopolitical discount on TSMC is already excessive relative to its ongoing diversification efforts may find its lower valuation multiples relative to its growth rate worthy of deeper analysis.
• Investors seeking exposure to the most defensive link in the supply chain will focus on ASML, as the construction of every new wafer fab worldwide creates demand for its products.

Demand is real, and growth is extraordinary. Risks—including geopolitical concentration, dependence on AI demand, memory cyclicality, and valuation—are equally real. Only investors who understand all four dimensions can examine this sector with the clarity and depth it requires.

Data as of May 2026. Sources include: WSTS, Final 2025 Data and Fall 2025 Forecast for the Global Semiconductor Market, March 2026. SIA, Global Annual Semiconductor Sales 2025, February 6, 2026. SIA, Global Semiconductor Sales Data for Q1 2026, May 4, 2026. Omdia, Semiconductor Market Breaks $830 Billion in 2025, March 2026. Deloitte Insights, Semiconductor Industry Outlook 2026, February 2026. SEMI, 300mm Fab Outlook Report. NVIDIA Corporation, SEC Form 8-K for Fiscal Year 2026 Earnings, February 25, 2026. TSMC, Q1 2026 Earnings and Q2 Guidance, April 2026. LKS Brothers, Analysis of the China-Taiwan Chip War 2026, May 2026. Lawfare, Congress Enters the Chip Battlefield, March 2026. U.S. Congressional Research Service (CRS), U.S. Export Controls on Advanced Semiconductors to China. Chatham House, Analysis of AI Export Controls, April 2026. Counterpoint Research (cited by Dataconomy), TSMC Foundry Market Share Q3 2025, December 2025. FinancialContent, In-Depth Analysis of TSMC, December 2025. Gartner, Semiconductor Vendor Market Share 2025. TECHi, NVIDIA Vera Rubin Analysis, April 2026.

Disclaimer: This material is for reference only and does not constitute investment advice or an offer. Investing involves risks; security prices may fluctuate significantly, and investors may lose all or part of their principal. Past performance is not indicative of future results.