When AI Infrastructure Becomes the Main Engine: An Industry Chain Interpretation of the Better-Than-Expected Growth in the Global Semiconductor Market in Q2 2026

When AI Infrastructure Becomes the Main Engine: An Industry Chain Interpretation of the Exceptional Growth in the Global Semiconductor Market in Q2 2026

Introduction

According to a DQ India report, the global semiconductor market recorded “exceptional growth” in Q2 2026, and the report attributes the growth to continued investment in AI infrastructure and high-performance computing (HPC). A methodological note is needed first: the report does not disclose quarterly revenue scale, year-over-year and quarter-over-quarter growth rates, or detailed data by product line or region. Therefore, this article will not repeat or extrapolate figures, but instead analyze the demand structure and supply chain propagation logic behind this information. Any judgments involving specific scale and growth rates should be based on the original data disclosed by WSTS, SIA, and company earnings reports.

The industrial significance of this news is not that it “grew again,” but rather the source structure of the growth. Over the past two decades, the master clock of the semiconductor cycle has largely been driven by consumer electronics—phone replacement, PC upgrades, and fluctuations in memory prices constituted the boom-bust cycle. The growth described for Q2 2026, however, points to another clock: the capital expenditure cycle of data center compute infrastructure. This clock has greater amplitude, a longer cycle, and a stronger lock-in effect on advanced capacity, while shifting the center of industrial value from “transistor count” toward “system-level integration capability.”

This article will break down the practical implications of this round of growth for the semiconductor industry across six dimensions—technology roadmap, upstream, midstream, and downstream of the supply chain, competitive landscape, regional division of labor, investment perspective, and long-term outlook—and identify the beneficiaries and those under pressure.

I. Background: The Switch in the Main Demand Engine

At the enterprise level. The main beneficiaries of global AI compute demand are concentrated among a few categories of players: GPU and accelerator suppliers (NVIDIA, AMD), hyperscale cloud providers developing in-house accelerator chips (ASIC routes such as Google TPU and Amazon Trainium), foundries offering foundry services and advanced packaging (TSMC, Samsung Foundry, Intel Foundry), as well as suppliers of equipment and materials for the above segments (ASML, Applied Materials, Lam Research, KLA) and OSAT providers (ASE, Amkor). When the market is driven by AI infrastructure investment, companies along this chain are the first to sense changes in orders, while consumer chip design companies (some mobile SoC, analog, and MCU vendors) may simultaneously face pressure from demand divergence.Technology level. The cost-benefit ratio of Moore’s Law at advanced nodes continues to deteriorate, and relying solely on process miniaturization can no longer simultaneously satisfy AI chips’ triple requirements for compute, bandwidth, and energy efficiency. As a result, the industry’s incremental value is being redistributed along three paths: first, advanced processes (3nm/2nm and below) drive increases in logic density; second, high-bandwidth memory such as HBM drives breakthroughs through the memory wall; third, advanced packaging (2.5D/3D, Chiplet, interposer solutions) handles heterogeneous integration. AI accelerators are in fact a joint product of “process + memory + packaging,” and a capacity bottleneck in any one link becomes a delivery bottleneck for the entire chain.

Market level. AI servers exert a certain substitution and crowding-out effect on general-purpose servers, while the chip content per AI server (logic, memory, power, networking, optical interconnect) is significantly higher than that of general-purpose servers. This means that even if unit shipment growth for complete systems is limited, value growth on the chip side may still be significantly higher than system growth—one of the key mechanisms for understanding “better-than-expected growth.”

Industry level. Major economies such as the United States, the European Union, Japan, South Korea, and China are all using subsidies and industrial policies to promote domestic capacity buildout, and semiconductor manufacturing is shifting from a “global division of labor prioritizing efficiency” to a “regionalized layout balancing efficiency and security.” This shift raises the industry’s overall capital expenditure intensity and depreciation pressure, and also changes the geographic distribution of orders for equipment and materials suppliers.

II. In-Depth Analysis

#### 1. Technology Impact: Where Are the Technical Barriers?

This round of growth has three most direct technology beneficiary directions.

First, advanced logic processes. The production ramp of 2nm-class nodes is the current focus of foundry competition. Its barriers include not only lithography (EUV and High-NA EUV) but also yield engineering for gate-all-around (GAA) transistor structures, process integration capabilities such as backside power delivery, and ecosystem adaptation on the design side for EDA and IP. Process leaders gain not only a performance advantage but also the commercial advantage of “first-launch lock-in” with AI customers.

Second, high-bandwidth memory (HBM). HBM achieves a leap in bandwidth through TSV stacking and a logic base die. Its barriers lie in the number of stacked layers, yield, power consumption and heat dissipation, as well as the joint validation cycle with accelerators. The pace of HBM capacity expansion in fact constitutes one of the hard constraints on AI accelerator shipments.

Third, advanced packaging. As single-die area approaches the reticle limit, Chiplet and 2.5D/3D integration become the main path for continuing system performance gains. Packaging has been upgraded from a “back-end process” to a “performance-defining step,” one of the most important positional changes in the industry value chain.

#### 2. Industry Chain Analysis: Impact Across the Complete Industry ChainUpstream (Equipment, Materials, EDA/IP)

• Equipment: Capacity expansion in advanced processes and advanced packaging directly drives demand for lithography, etching, thin-film deposition, metrology, and inspection equipment. The delivery cadence of EUV and related equipment and export controls are the two strongest variables upstream.
• Materials: Demand for silicon wafers (especially large-size wafers and epitaxial wafers), photoresists (especially EUV resists), specialty gases, CMP materials, and substrates and carrier boards for advanced packaging scales up as capacity ramps. The materials segment usually lags equipment, but once it enters mass production, demand is more stable and stickier.
• EDA and IP: Chiplets and heterogeneous integration increase design complexity, driving up the value of EDA toolchains and high-speed interface IP (SerDes, HBM PHY, die-to-die interconnect). This is a typical “hidden beneficiary” segment: its upside is not conspicuous, but its certainty is relatively high.

Midstream (Wafer Manufacturing and Packaging & Testing)

• Advanced-process capacity is a scarce resource, and capital expenditure is highly concentrated. The bargaining power of leading foundries strengthens during AI demand cycles.
• Mature processes are diverging: power management, interfaces, and analog devices tied to AI may benefit, while purely consumer applications (some driver ICs, general-purpose MCUs) may face pressure on prices and utilization rates.
• In packaging and testing, players with 2.5D/3D and system-level packaging capabilities have clearly stronger bargaining power than traditional wire-bond packaging players. The “technological stratification” of the packaging and testing industry is intensifying.

Downstream (Cloud Services, Server ODMs, End Devices)

• Hyperscale cloud providers are the ultimate funders of demand, and their capex guidance is the leading indicator for the very upstream of the entire chain.
• Server ODMs and supporting segments such as power, cooling, and optical modules fluctuate in sync with chip demand.
• The pace of AI feature deployment on the end-device side (PCs, phones) determines whether this round of compute investment can spill over into a broader range of chip categories.

#### 3. Supply Chain Impact: Who Benefits, Who Comes Under Pressure

Beneficiaries: Advanced-process foundries, HBM suppliers, advanced packaging service providers, EUV and advanced metrology equipment makers, high-speed interface IP suppliers, and AI accelerator design companies.

Under pressure: Mature-process design companies and foundries whose main revenue comes from consumer electronics; small and medium-sized design companies disadvantaged in the allocation of advanced packaging capacity (which may face the dilemma of “able to design, unable to package”); and companies that lose part of their markets due to export controls.

Key risk point: The time mismatch in capacity bottlenecks. The expansion cycles for advanced processes and HBM are measured in years, while investment decisions for AI demand can adjust sharply within a quarter. This mismatch can cause both temporary supply shortages and temporary oversupply when demand expectations are revised. Geopolitical variables (BIS export controls, subsidy reviews in various countries) will further amplify this volatility.#### 4. Competitive Landscape: How the Landscape Is Adjusting

• AI accelerators: The general-purpose GPU route and cloud providers' in-house ASIC route proceed in parallel. The former builds a moat through its software ecosystem, while the latter lowers cost per unit of compute through vertical integration. The competitive outcome between the two is more likely to segment different workload scenarios than to result in simple substitution.
• Foundry: Competition in advanced nodes is highly concentrated, and 2nm-class yields and customer adoption speed will determine share allocation over the next several years. The catch-up progress of Samsung and Intel Foundry is a key variable for observing whether the landscape loosens.
• Memory: HBM has partly shifted memory makers from "cyclical commodity suppliers" to "key AI component suppliers," and there is potential for a re-rating of the industry's characteristics and valuation logic.
• Packaging: Traditional OSATs and fabs' in-house packaging capabilities form a coopetition relationship, and entry barriers and technology stratification in the packaging segment are rising in tandem.

#### 5. Regional Implications: Changes in Regional Positioning

• United States: Leads AI chip design, EDA/IP, and some advanced equipment, and promotes onshore advanced manufacturing and packaging capacity through the CHIPS Act; its advantages are concentrated in design and the toolchain.
• Taiwan, China: Concentrates advanced process and advanced packaging capacity and is an irreplaceable manufacturing hub in the AI compute supply chain; its capacity and geopolitical stability directly affect the pace of global AI hardware delivery.
• South Korea: Driven by both memory (especially HBM) and foundry, with a prominent position in the AI memory segment.
• Japan: A key supplier of semiconductor materials and equipment, while also reinvesting in advanced processes and packaging, placing it in a favorable "upstream" position.
• Europe: Lithography and some equipment, automotive semiconductors, and power devices are core strengths, but its share of leading-edge logic manufacturing is limited.
• China: Has scale in mature nodes, packaging and testing, and some equipment and materials, but advanced nodes and high-end equipment are constrained by export controls, and local substitution and independent ecosystem building are accelerating.
• Southeast Asia: A recipient of packaging and testing and back-end capacity, gaining incremental investment amid supply chain diversification.

#### 6. Investment Perspective: Why Capital Markets Are Watching

The core of capital markets' attention on this growth round is not single-quarter growth, but visibility. AI infrastructure capex is usually disclosed in the form of multi-year plans, which provides relatively long-term order visibility for upstream equipment, materials, and foundry segments, thereby changing the semiconductor industry's valuation framework—from "pure cyclical stock pricing" partly toward a hybrid pricing of "structural growth + cyclical volatility."Three things need to be watched closely: first, the actual implementation rate of capex guidance; second, the erosion of gross margins by depreciation after advanced capacity comes online; third, on the demand side, if return on investment falls short of expectations, it could trigger rapid adjustments in order cadence. Long-term value should focus on segments that occupy irreplaceable positions in the technology stratification, rather than segments that merely benefit from short-term demand fluctuations.

#### 7. Long-Term Outlook

Next 3 years: Advanced process and advanced packaging capacity will remain tight, with HBM being one of the main bottlenecks. The center of value in the industrial chain will continue to shift toward "manufacturing and integration," and order visibility in equipment and materials segments will be relatively high; differentiation in mature process nodes will intensify.

Next 5 years: Chiplet and heterogeneous integration will move toward standardization, further blurring the boundary between packaging and design; cloud providers' in-house chips will gain share, creating a structural diversion from general-purpose accelerators; the regionalized capacity landscape will basically take shape, and the cost increases caused by duplicated construction will begin to be absorbed by the industry.

Next 10 years: If AI inference demand continues to spill over to terminals and the edge, the semiconductor demand structure will shift from a "data center unipolar" model to a "cloud-edge-device multipolar" one, bringing a new wave of demand for mature process nodes and analog, power, and sensing chips. At the same time, the industry will need to find new performance pathways beyond silicon-based scaling (advanced packaging, optical interconnect, new materials), and the risk of technology route selection will be higher than in the past two decades.

III. Conclusion: Three Most Important Industry Judgments

First, the signal value of this round of growth lies in the shift in demand structure, not in the growth rate itself. Compute infrastructure capex has become the master clock of the semiconductor cycle. The first indicator for observing semiconductor prosperity should be hyperscale cloud providers' capex guidance, not consumer electronics shipment data.

Second, industrial value is migrating from "process nodes" to "system integration." The technology stratification of advanced packaging, HBM, and high-speed interconnect is creating new entry barriers and new scarce segments. The improvement in bargaining power of these segments is one of the most certain industry changes in the coming years.

Third, the binding constraints of the supply chain are shifting from "capacity" to "capacity + geopolitics." To understand the medium- to long-term competitiveness of any semiconductor company, one must assess both its technology position and its position in the regionalized supply chain.

Key Takeaways1. The better-than-expected growth of the global semiconductor market in Q2 2026 is driven by AI infrastructure and HPC investment, but the original reporting did not disclose specific scale and growth rate data; quantitative judgments must be based on WSTS/SIA and corporate financial reports. 2. The primary demand engine has shifted from consumer electronics to data center compute capital expenditure, and the leading indicators of semiconductor market conditions have changed accordingly. 3. The center of technological value is concentrating in three segments—advanced process nodes, HBM, and advanced packaging—which together form a joint bottleneck for AI accelerator delivery. 4. Beneficiaries are concentrated in advanced manufacturing, advanced packaging, HBM, advanced equipment, and high-speed interface IP; those under pressure are mainly pure consumer-related and mature-node-related companies. 5. Regionalized capacity deployment is raising the industry's capital expenditure intensity and depreciation pressure, making supply chain security and technology leadership parallel dimensions of competition.