Summary: This article provides an in-depth analysis of chip industry development trends in the second half of 2026, focusing on industrial transformation driven by AI and ubiquitous intelligence. It examines structural changes in the chip market, investment opportunities and challenges, offering investors a forward-looking perspective.
Introduction: The Crossroads of the Chip Industry
\nIn the second half of 2026, the global chip industry stands at a critical crossroads. With the deepening development of artificial intelligence technology and the accelerating arrival of the era of ubiquitous intelligence, the chip industry is undergoing unprecedented structural changes. On one hand, AI-driven computing demand continues to surge, driving up prices for advanced process chips; on the other hand, the rise of emerging application scenarios such as edge computing and IoT has led to a recovery in the mature process chip market. This article will conduct an in-depth analysis of the core trends in the chip industry in the second half of 2026, exploring the reshaping of the industrial landscape and investment opportunities.
\n\n1. AI Chips Leading the New Industry Trend
\nIn 2026, AI chips have become the strongest engine for growth in the semiconductor industry. According to market data, the global AI chip market size has grown by more than 35% year-on-year, with data center AI chips dominating, while edge AI chips show faster growth momentum. Behind this growth trend is the explosive development of large language models, multimodal AI, and generative AI applications.
\n\n1.1 Technological Evolution of AI Chips
\nAt the technological level, AI chips are evolving from traditional GPU architectures to more specialized and efficient NPUs (Neural Processing Units) and TPUs (Tensor Processing Units). New-generation AI chips launched in 2026 generally adopt advanced packaging technologies such as Chiplet and 2.5D/3D packaging to achieve higher integration and energy efficiency ratios. Meanwhile, the rise of computing-in-memory architectures is changing the traditional design paradigm of AI chips, effectively alleviating the "memory wall" problem.
\n\n1.2 Structural Differentiation in the AI Chip Market
\nThe AI chip market shows clear structural differentiation. The high-end training chip market is dominated by a few giants, with prices continuing to rise and lead times extending; while the inference chip market is experiencing intensified competition with prices becoming more rational. Notably, in the second half of 2026, specialized AI chips (ASICs) have significantly increased their market share in specific application scenarios, reflecting the trend of the AI chip market moving from generalization to specialization.
\n\n1.3 New Chip Landscape under Sovereign AI Strategy
\nAgainst the backdrop of changes in the global geopolitical landscape, the "sovereign AI" strategy is driving countries to strengthen the construction of their domestic AI chip industry chains. In 2026, multiple countries have introduced policies to support the development of domestic AI chips, including R&D subsidies, tax incentives, and market protection measures. This trend has not only changed the global AI chip supply chain but also brought new development opportunities for domestic chip companies.
\n\n2. Recovery and Transformation of Mature Process Chips
\nIn stark contrast to the boom in AI chips, the mature process chip market, after years of sluggishness, has seen a recovery in the second half of 2026. This recovery is not simply a cyclical rebound but the result of structural changes, reflecting the transformation of the chip industry from simply pursuing advanced processes to diversified and differentiated development.
\n\n2.1 Market Performance of Mature Process Chips
\nData shows that in the second half of 2026, market demand for mature process chips of 28nm and above has significantly improved, with shorter lead times and stabilizing and rising prices. This trend is mainly driven by strong demand in fields such as automotive electronics, industrial control, and IoT. Especially in the automotive chip sector, with the deepening trends of electrification and intelligence, demand for automotive-grade chips continues to grow, becoming an important support for the mature process chip market.
\n\n2.2 Innovative Breakthroughs in Mature Process Technology
\nMature processes are not stagnant but are being revitalized through technological innovation. In 2026, many chip manufacturers have significantly improved the performance and energy efficiency of mature process chips through process optimization, introduction of new materials, and design innovation. For example, 22nm FD-SOI technology shows unique advantages in low-power applications; while the application of 28nm RF-SOI process in 5G RF chips has also achieved important breakthroughs.
\n\n2.3 "Dual-Track" System of Advanced and Mature Processes
\nThe chip industry is forming a "dual-track" development model where advanced and mature processes coexist. Advanced processes are mainly used in high-performance computing, AI training and other fields, while mature processes have advantages in cost-sensitive applications. This differentiation is not only reflected in the manufacturing end but also in the design and packaging/testing links, prompting each link of the chip industry chain to form differentiated competitive advantages.
\n\n3. New Opportunities in the Era of Ubiquitous Intelligence
\nWith the popularization of applications such as IoT, edge computing, and smart homes, "ubiquitous intelligence" is becoming a new growth point for the chip industry. In the second half of 2026, niche markets such as edge AI chips, low-power MCUs, and sensor chips have shown strong growth potential, bringing new development opportunities for the chip industry.
\n\n3.1 The Rise of Edge AI Chips
\nThe rapid growth of edge computing demand has driven the explosion of the edge AI chip market. In 2026, shipments of edge AI chips exceeded those of cloud AI chips for the first time, marking a shift from centralized to distributed AI computing. This trend puts new requirements on chip design, with low power consumption, high energy efficiency, and real-time performance becoming key indicators for edge AI chips.
\n\n3.2 Innovative Applications of Sensor Chips
\nUnder the vision of ubiquitous intelligence, sensor chips are reaching a peak of innovative applications. In 2026, the application of CMOS image sensors (CIS) in fields such as autonomous driving, medical imaging, and industrial inspection continues to expand; while MEMS sensors play an increasingly important role in smart homes and wearable devices. These innovative applications not only drive the growth of the sensor chip market but also promote the deep integration of chip design and system applications.
\n\n3.3 Design Challenges for Low-Power Chips
\nThe increasingly strict requirements for battery life in ubiquitous intelligent devices make low-power chip design a focus of the industry. In 2026, chip design manufacturers have significantly improved the performance of low-power chips by adopting new architectures, optimizing circuit design, and introducing advanced packaging technologies. Meanwhile, the application of RISC-V architecture in the low-power field has also made important progress, injecting new vitality into the open-source chip ecosystem.
\n\n4. Restructuring of the Chip Industry Chain and Investment Opportunities
\nIn the second half of 2026, the chip industry chain is undergoing profound restructuring, with new development trends emerging in all aspects from design, manufacturing to packaging and testing. This restructuring not only brings challenges but also creates new opportunities for investors.
\n\n4.1 Innovation in Chip Design
\nThe chip design field is shifting from the traditional "performance first" approach to a balance of "performance, power consumption, and cost." In 2026, the popularization of Chiplet design architecture makes chip design more modular and flexible, reducing design barriers and costs. Meanwhile, the semiconductor IP (intellectual property) market is also showing rapid growth, becoming an important part of the chip design ecosystem.
\n\n4.2 Capacity Differentiation in Manufacturing
\nCapacity differentiation in the chip manufacturing sector is intensifying. Advanced process capacity continues to be tight, with wafer foundry prices maintaining an upward trend; while mature process capacity is relatively loose, with prices stabilizing. This differentiation prompts chip manufacturing companies to adopt differentiated strategies, focusing on their respective areas of advantage. Meanwhile, M&A integration in the wafer foundry industry is also accelerating, with industry concentration continuously increasing.
\n\n4.3 Innovation in Packaging and Testing Technology
\nPackaging and testing technology is becoming a key link in improving chip performance. In 2026, advanced packaging technologies such as 2.5D/3D packaging and Chiplet packaging are growing rapidly in market size, becoming new growth points for the semiconductor industry. Meanwhile, testing technology is also continuously innovating to meet the challenges brought by increasing chip complexity.
\n\n4.4 Investment Strategies and Risk Warnings
\nFacing the structural changes in the chip industry, investors need to adopt more diversified investment strategies. It is recommended to pay attention to the following types of investment opportunities: first, leading companies in the AI chip industry chain; second, innovative companies in the mature process chip field; third, chip suppliers in emerging applications such as edge computing and IoT; fourth, leading enterprises in the semiconductor equipment and materials sector. At the same time, investors also need to pay attention to risk factors such as geopolitical risks, technology iteration risks, and intensifying market competition.
\n\nConclusion: Future Outlook for the Chip Industry
\nIn the second half of 2026, the chip industry is standing at a new historical starting point. The integrated development of AI and ubiquitous intelligence is driving the chip industry to shift from pure technology-driven to application-driven, and from single-minded pursuit of performance to diversified and differentiated development. Against this backdrop, the chip industry will present a richer innovation ecosystem and a more diversified market structure.
\n\nLooking ahead, the chip industry will continue to maintain rapid growth, but the growth momentum will shift from pure technological progress to the deep integration of technology and applications. Meanwhile, with the restructuring of the global semiconductor industry chain and the strengthening of regionalization trends, the chip industry will also face new challenges and opportunities. For enterprises and investors, grasping industry trends, focusing on innovative applications, and building differentiated competitive advantages will be the key to future success.
\n\nAgainst the background of the era of ubiquitous intelligence, chips, as the cornerstone of the digital economy, will continue to play an irreplaceable role. In the second half of 2026, the chip industry is characterized by both transformation and opportunities, worthy of high attention and expectation from the market.
