0 IDMs Hold 48.5% of Semiconductor Supply Chain Revenue as Fabless Reaches 29.2% and Foundry 16.4% みんなに公開
Market Definition and Scale
The semiconductor supply chain involves a complex network of companies, organizations, and individuals involved in the design, manufacturing, semiconductor test and packaging, and semiconductor equipment and materials. This report studies the semiconductor IC design (IDM and fabless), IC manufacturing (foundries and IDM), IC packaging, and IC testing (OSAT and IDM). The global market size is projected to reach USD 1,289.93 billion by 2030, at a CAGR of 5.9% during the forecast period. This aggregate figure encompasses four structurally distinct business models whose economics differ materially: IDMs bear capital intensity and cyclical exposure across design and fabrication; fabless companies convert design talent and IP into margin-accretive revenue without fab depreciation; foundries monetize process leadership and capacity utilization; and OSATs operate labor- and capital-intensive assembly and test services at lower gross margins but with critical roles in advanced packaging.
Business Model Segmentation and Competitive Landscape
According to the type of semiconductor companies, there are four major categories: fabless, IDM, foundry, and OSAT. In terms of company revenue, IDMs account for the highest proportion at approximately 48.5% of market share, followed by fabless at 29.2%, and then foundry and OSAT at 16.4% and 5.9% respectively.
Key IC design companies include NVIDIA, Qualcomm, Broadcom, Advanced Micro Devices (AMD), MediaTek, Marvell Technology Group, Novatek Microelectronics, Tsinghua Unigroup, Realtek Semiconductor, and OmniVision Technology. Key IC manufacturing and wafer fabrication companies include TSMC, Samsung Foundry, GlobalFoundries, United Microelectronics Corporation (UMC), SMIC, Tower Semiconductor, PSMC, VIS (Vanguard International Semiconductor), and Hua Hong Semiconductor. Key IDMs include Samsung, Intel, SK Hynix, Micron Technology, Texas Instruments, STMicroelectronics, Kioxia, Sony Semiconductor Solutions, Infineon, NXP, Analog Devices, Renesas Electronics, Microchip Technology, and Onsemi. Key assembly, test, and packaging (OSAT) companies include ASE (SPIL), Amkor, JCET (STATS ChipPAC), Tongfu Microelectronics (TFME), Powertech Technology (PTI), HT-tech, King Yuan Electronics Corp. (KYEC), ChipMOS Technologies, and Chipbond Technology.
According to QYResearch Semiconductor Research Center, the global key manufacturers of semiconductor IC design, manufacturing, packaging, and testing include TSMC, Intel, Samsung, NVIDIA, Qualcomm, Broadcom, SK Hynix, AMD, Infineon, STMicroelectronics, and others. In 2023, the global top ten players held approximately 42.0% of revenue share. This concentration figure is analytically important because it is lower than the concentration in several individual segments covered earlier in this series—semiconductor photoresist at 86%, power module substrates at 85%, and IC design at 56%. The aggregate supply chain is more fragmented than its constituent materials markets because it spans four business models and dozens of end markets, and because the IDM and fabless tiers include numerous specialized players with strong positions in analog, power, MCU, and RF niches.
Recent Market Dynamics: AI Concentration and Packaging Bottlenecks
The supply chain’s growth trajectory in 2024–2026 has been dominated by AI infrastructure demand, and this has produced visible concentration effects within the segment structure. WSTS revised its 2026 semiconductor market growth forecast to 89.9%, with memory alone projected to grow 249.5% to exceed USD 803.9 billion, and logic growth forecast at 37.1% . These figures imply that the aggregate supply chain’s 5.9% CAGR substantially understates the near-term surge, which is concentrated in memory IDMs (SK Hynix, Samsung, Micron) and AI logic fabless companies (NVIDIA, Broadcom, AMD).
The foundry tier illustrates the capacity-allocation dynamics that govern the supply chain’s throughput. TSMC’s advanced packaging capacity—particularly CoWoS (Chip-on-Wafer-on-Substrate) and SoIC (System on Integrated Chips)—has become the binding constraint on AI accelerator output. TSMC is expanding CoWoS capacity to approximately 1.1–1.4 million wafers annually by 2026, with SoIC capacity reaching 20,000 wafers per month, yet demand continues to outpace supply . This means that the OSAT segment’s 5.9% revenue share understates its strategic importance: advanced packaging is no longer a back-end commodity service but a front-end determinant of whether AI chips can ship. OSATs and foundry-captive packaging operations that have invested in 2.5D and 3D integration are positioned to capture value disproportionate to their revenue share.
The IDM segment’s 48.5% share is similarly being reshaped by memory. SK Hynix’s HBM revenue grew more than 110% year-on-year in Q2 2026, with HBM sales expanding over 250% year-on-year in Q1 2026 and expected to maintain triple-digit growth in Q2 . Memory IDMs are benefiting from a pricing environment in which HBM allocation is sold out through 2026, and this is concentrated in a small number of suppliers. The IDM share of 48.5% is therefore not a stable structural constant; it is a snapshot that will fluctuate with memory pricing cycles, rising in upcycles and falling in downturns.
Market Drivers
The primary demand driver is AI infrastructure build-out across data centers. AI server shipments are projected to grow 28% year-on-year in 2026, with AI servers accounting for 17% of total server shipments, while AI storage demand is projected to grow over 70% year-on-year in 2026 driven by AI server deployment and the transition to QLC SSDs . This demand pull propagates through the entire supply chain: fabless companies design accelerators, foundries allocate advanced-node wafers, IDMs supply HBM, and OSATs provide the advanced packaging that integrates compute and memory. The supply chain’s growth is therefore not evenly distributed; it is concentrated at the nodes and packaging technologies that AI workloads require.
A second driver is the geographic diversification of manufacturing capacity. The United States, Europe, Japan, and China are all investing in domestic or allied wafer fabrication capacity, motivated by supply-chain security considerations. This investment supports the foundry segment’s 16.4% share and creates demand for semiconductor equipment and materials that sit upstream of the four business models covered in this report. The diversification does not reduce concentration at the leading edge—TSMC, Samsung, and Intel remain the only companies capable of volume production at the most advanced nodes—but it expands mature-node capacity in ways that benefit analog, power, and MCU designers.
Restraints
The principal restraint on supply chain growth is the advanced packaging bottleneck described above. CoWoS and SoIC capacity determine how many AI accelerators can be shipped, and this capacity cannot be expanded quickly because it requires specialized equipment, cleanroom space, and process expertise. The 5.9% CAGR assumes that packaging capacity expands in line with demand; if it does not, the constraint will suppress foundry and fabless revenue even where wafer capacity is available.
A second restraint is the capital intensity and cyclicality of the IDM model. IDMs account for 48.5% of revenue but bear the full weight of fab construction, equipment depreciation, and utilization risk. Memory IDMs are particularly exposed to pricing cycles, and the current upcycle—with memory growth projected at 249.5% in 2026—will inevitably be followed by a correction. The supply chain’s aggregate growth rate is dampened by this cyclicality, and the 5.9% CAGR should be read as a through-cycle average rather than a trajectory that will be realized smoothly year by year.
A third restraint is the geopolitical fragmentation of the supply chain. Export controls, tariffs, and local-content requirements are reshaping where chips are designed, fabricated, and packaged. This fragmentation increases costs and reduces the efficiency gains that globalization delivered, and it creates uncertainty that complicates capacity planning across all four business models.
Opportunity
The most significant opportunity is the expansion of advanced packaging capacity and capability. As Moore’s Law scaling becomes more expensive and less impactful for AI workloads, packaging-based integration—chiplets, 2.5D, 3D, and heterogeneous integration—becomes the primary lever for performance improvement. OSATs and foundries that invest in these capabilities can capture value that was previously captured by front-end wafer fabrication. The 5.9% revenue share of OSATs understates their strategic importance in this transition, and leading OSATs such as ASE and Amkor are expanding advanced packaging capacity to serve AI and HPC customers.
A second opportunity lies in mature-node and specialty process design. While AI dominates headlines, the majority of semiconductor revenue by unit volume comes from analog, power, MCU, and connectivity chips fabricated at mature nodes. The geographic diversification of mature-node capacity, combined with automotive and industrial electrification, creates durable demand for design and manufacturing services in these segments. Fabless companies with strong positions in automotive and industrial markets, and foundries with differentiated specialty processes, are positioned to capture this demand.
Analyst Observations
Two underappreciated dynamics merit attention. First, the four-way segmentation—IDM at 48.5%, fabless at 29.2%, foundry at 16.4%, OSAT at 5.9%—is a revenue-based view that obscures the supply chain’s power structure. Revenue share does not equal bargaining power. TSMC’s 16.4% foundry share understates its influence because leading-edge capacity is concentrated in its hands; an OSAT’s 5.9% share understates its importance because advanced packaging gates AI chip shipments; and a fabless company’s 29.2% share understates its influence because design wins determine which foundry and packaging capacity gets utilized. The strategic implication is that vertical coordination—between fabless designers, foundries, and OSATs—matters more than the revenue split suggests, and companies that secure capacity commitments across tiers are better positioned than those that compete only within their own segment.
Second, the 42.0% top-ten concentration is likely to rise in the near term and then moderate. The AI surge is concentrating revenue among a small number of companies—NVIDIA, TSMC, SK Hynix, Broadcom, and a handful of others—because they control the scarce capabilities that AI workloads require. But the same surge is funding capacity expansion across the supply chain, and as capacity catches up with demand, revenue will diffuse toward a broader set of suppliers. The 5.9% CAGR through 2030 implicitly assumes this diffusion: a period of concentration and capacity constraint, followed by normalization and broader-based growth. The risk to this forecast is not that AI demand disappoints, but that capacity constraints persist longer than expected, keeping revenue concentrated and suppressing the aggregate growth rate below its potential.
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