Taiwan Semiconductor Manufacturing Company (TSMC) has sharply raised its long-term outlook for the global semiconductor industry, forecasting the market will exceed $1.5 trillion by 2030 as artificial intelligence drives one of the largest infrastructure buildouts in the history of computing.
The revised projection, disclosed in presentation materials ahead of the company’s technology symposium on Thursday, marks a major increase from TSMC’s earlier estimate that the semiconductor market would surpass $1 trillion by the end of the decade.
The new forecast underscores how rapidly AI has transformed expectations across the chip industry, turning semiconductors from a cyclical technology sector into what many executives increasingly describe as the foundational infrastructure of the global economy.
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According to TSMC, AI and high-performance computing are expected to account for 55% of the projected $1.5 trillion semiconductor market by 2030, dwarfing traditional demand drivers such as smartphones and personal electronics. Smartphones are expected to represent 20% of the market, while automotive applications are projected to contribute 10%.
The figures highlight a dramatic structural shift underway across the industry.
For much of the past two decades, smartphone demand largely dictated semiconductor growth cycles. Increasingly, however, AI data centers, advanced computing systems, and machine-learning infrastructure are becoming the primary engines of chip demand, reshaping investment priorities throughout the technology supply chain.
TSMC’s projections also support the extraordinary scale of the AI infrastructure race now unfolding globally. The company said demand for AI accelerator wafers is expected to increase elevenfold between 2022 and 2026, reflecting surging orders for processors used in training and running large artificial intelligence models.
AI Boom Drives Rising Chip Demand
That demand explosion is driving aggressive expansion plans across both manufacturing and advanced packaging, areas where TSMC occupies a uniquely dominant position. The company said it is accelerating capacity expansion in both 2025 and 2026 and plans to build nine phases of wafer fabrication plants and advanced packaging facilities in 2026 alone.
The scale of the expansion underpins how AI is forcing semiconductor manufacturers to rethink traditional capital expenditure cycles. Historically, chipmakers expanded capacity gradually to avoid oversupply and sharp pricing downturns. The AI boom, however, has created fears that insufficient production capacity could become a bottleneck for technology companies, cloud providers, and governments racing to secure computing power.
TSMC’s most advanced manufacturing technologies are at the center of that competition. The company expects production capacity for its cutting-edge 2-nanometer chips and next-generation A16 process technology to grow at a compound annual growth rate of 70% from 2026 through 2028.
Those advanced nodes are expected to play a critical role in future AI processors because they allow greater transistor density, improved energy efficiency, and higher performance, all essential for increasingly power-hungry AI workloads. The aggressive ramp-up also reinforces TSMC’s importance to companies designing advanced AI chips, including Nvidia, whose processors dominate the global AI accelerator market.
Beyond manufacturing itself, advanced packaging has emerged as one of the most critical battlegrounds in semiconductor competition.
TSMC said capacity for its CoWoS, or Chip on Wafer on Substrate, packaging technology is projected to grow at a compound annual rate exceeding 80% between 2022 and 2027. CoWoS has become indispensable for modern AI processors because it allows multiple chips and memory components to be integrated into a single high-performance package capable of handling the enormous data-transfer requirements of AI computing.
The technology is widely used in Nvidia’s AI chips and has become one of the semiconductor industry’s most constrained production areas due to overwhelming demand from hyperscale data-center operators. In many respects, advanced packaging is now becoming almost as strategically important as chip fabrication itself.
TSMC is Sucking the Windfall
Industry analysts have increasingly warned that shortages in packaging capacity, rather than wafer production alone, could limit the pace of AI deployment globally. TSMC’s expansion plans, therefore, reflect not just rising demand, but also an industry-wide recognition that the AI boom requires an entirely new generation of semiconductor infrastructure.
The company’s global manufacturing footprint is expanding alongside those ambitions. In the United States, TSMC said its first Arizona fabrication plant is already in production, while tool installation for the second facility is scheduled for the second half of 2026.
Construction of a third Arizona fab is underway, and work on a fourth fab, as well as the site’s first advanced-packaging facility, is expected to begin later this year. TSMC also revealed that it had completed the purchase of a second large parcel of land in Arizona for future expansion, signaling confidence that U.S.-based chip manufacturing demand will continue growing rapidly.
The company expects Arizona output to increase 1.8 times year-over-year by 2026, with yields comparable to those achieved in Taiwan. That point beams with weight because yield performance has long been viewed as one of the biggest uncertainties surrounding overseas semiconductor production.
TSMC’s ability to replicate Taiwan-level yields in Arizona would strengthen confidence in efforts by the United States to rebuild advanced domestic semiconductor manufacturing under industrial policies aimed at reducing reliance on Asian supply chains.
The Arizona expansion comes amid a rising geopolitical standoff, especially between the U.S. and China. Washington has increasingly viewed semiconductor manufacturing as a national security priority amid intensifying technological competition with Beijing and concerns about the vulnerability of Taiwan-centered chip production to regional tensions.
TSMC’s investments are therefore becoming central not only to commercial AI development, but also to broader U.S. economic and strategic planning.
The company is pursuing similar expansion efforts elsewhere. In Japan, TSMC said its first fabrication plant is already in volume production for 22-nanometer and 28-nanometer technologies. The second Japanese fab has now been upgraded to produce advanced 3-nanometer chips due to stronger-than-expected demand.
That upgrade is notable because it is seen as an indication that Japan is becoming more important in advanced semiconductor manufacturing than initially anticipated, particularly as Tokyo seeks to rebuild its domestic chip ecosystem and reduce supply-chain vulnerabilities.
In Europe, TSMC’s German facility remains under construction and is progressing on schedule. The fab is expected initially to support 28-nanometer and 22-nanometer production before later adding 16-nanometer and 12-nanometer technologies, primarily targeting automotive and industrial demand. The European expansion points to growing pressure from governments worldwide to localize parts of semiconductor production after supply disruptions during the pandemic exposed the risks of concentrated manufacturing networks.
Together, TSMC’s projections and expansion plans reveal how fundamentally the semiconductor industry is being reshaped by artificial intelligence. What was once a highly cyclical manufacturing sector tied heavily to consumer electronics is evolving into the backbone of a global AI economy requiring unprecedented levels of capital investment, power infrastructure, and geopolitical coordination.