1. Definition and Core Advantages of ASIC
ASIC (Application-Specific Integrated Circuit) is an integrated circuit customized for specific user or electronic system requirements. Unlike general-purpose chips such as CPUs that adapt to multiple scenarios, its circuit structure and computational unit layout are optimized for a single scenario (e.g., deep learning inference). The core advantages are as follows:
– High Performance: Computational efficiency far exceeds that of general-purpose chips, with speeds in AI inference scenarios outperforming GPUs;
– Low Power Consumption: Streamlined circuit structure results in outstanding energy efficiency (e.g., Google’s TPU v5E has an energy efficiency ratio three times that of NVIDIA’s H100);
– Low Cost in Mass Production: Although initial R&D costs are high, the cost per chip significantly decreases as production scales up;
– High Reliability and Small Size: Simplified structure reduces failure probability, suitable for scenarios with strict space and stability requirements.
2. Core Trends in Technological Development
1. Continuous breakthroughs in advanced processes: 3nm has achieved mass production (e.g., TSMC), and 2nm is entering the R&D stage; smaller transistors can increase the density of computational units per unit area, reduce signal delay, and meet real-time requirements for AI inference.
2. Accelerated application of new materials: The popularity of wide bandgap semiconductor materials such as silicon carbide and gallium nitride enhances power efficiency and reduces size; ultra-wide bandgap materials like gallium oxide and diamond are entering the experimental stage.
3. Innovations in packaging and transmission technology: 3D packaging technology shortens signal transmission distances through vertical stacking of chips, improving speed and reducing power consumption; silicon photonics technology utilizes optical signals for ultra-high-speed data communication within chips.
3. Challenges Facing Industry Development
1. High barriers to technological R&D: Processes at 3nm and below require breakthroughs in transistor structure optimization and photolithography precision, relying on high-precision equipment and processes, with long-term substantial investments needed (e.g., Huawei HiSilicon needs to overcome material and process compatibility issues for processes below 7nm).
2. Conflict between cost and flexibility: Long initial R&D cycles and high costs make it difficult to dilute costs in small-batch production; fixed functions require redesigning for changes in demand, incurring significant time and cost penalties.
3. Market and ecological barriers: Leading cloud providers like Google and Amazon dominate the market, creating closed ecosystems with high entry barriers for new entrants; insufficient collaboration between design and manufacturing stages leads to poor industry connectivity.
4. Global and Chinese Market Scale
– Global Market: The scale is expected to reach $110 billion by 2025 and grow to $1.1 trillion by 2028; the compound annual growth rate (CAGR) from 2024 to 2028 is over 100%.
– Chinese Market: The scale is projected to be 478.9 billion RMB in 2024, a year-on-year increase of 27.71%, higher than the global average; by 2028, it is expected to exceed 800 billion RMB, with China’s global market share increasing from 22% to 35%. China has formed a complete closed-loop ecosystem of “design-application” and is promoting the localization of advanced processes and the construction of a self-controlled industrial system.
5. Dynamics of Domestic and International Enterprise Layouts
(1) International Enterprises
– Google: Launched the first generation of TPU in 2016, with the seventh generation product set to be released in 2025, focusing on AI inference optimization; opened TPU cloud services, capturing 74% of global ASIC shipments.
– Amazon: The Titan series chips are expected to see significant shipment growth in 2024, with cost-performance ratios 30%-40% better than NVIDIA’s H100; covering over 200 customers through cloud services.
– Meta: Collaborating with Broadcom to launch its first self-developed AI ASIC by the end of 2025, with performance expected to surpass NVIDIA’s next-generation chip Ruby.
– Microsoft: Its self-developed AI ASIC is expected to enter mass production in 2026, deeply integrated into Azure cloud services.
(2) Chinese Enterprises
– Huawei: Comprehensive layout across the entire chain, with HiSilicon promoting advanced processes, 3D packaging, and new material integration, covering communications, AI, and industrial internet; collaborating with over 500 application enterprises through the Ascend ecosystem to explore the localization of advanced processes and EDA tools.
– Alibaba: Focusing on cloud computing and AI, the Xuantie series storage chips provide customized solutions for Alibaba Cloud, with cost-performance ratios 25%-35% better than general-purpose GPUs; opening interfaces to build a collaborative ecosystem between cloud, edge, and terminal.
– Tencent: Developing custom chips for AI inference and edge computing, optimizing social and gaming businesses (reducing inference response time by 20%, lowering computing costs by 30%); collaborating with Cambricon to explore smart driving, aiming for pilot applications by 2027.
6. Key Opportunities in the Industry Chain
1. Upstream: Breakthroughs in EDA tools and IP cores
– EDA Tools: BGI and Galen Electronics have achieved full-process coverage of key modules, with significant potential for domestic substitution;
– IP Cores: Chipone launched the world’s first NPU IP core supporting the Transformer architecture, while Xilinx provides a RISC-V architecture design platform.
2. Midstream: Collaborative innovation in design and manufacturing
– Design companies (Cambricon, Horizon Robotics) create vertical solutions through “algorithm + chip” collaborative design;
– Manufacturing companies (SMIC, Hua Hong Semiconductor) combine “mature processes + specialty processes” to meet low-cost and high-reliability demands.
3. Downstream: Continuous expansion of application scenarios
– In the AI field: Demand for large model inference calculations is surging;
– Automotive electronics: Horizon’s Journey series chips have shipped over 5 million units;
– New demands continue to grow in communications, industrial internet, and other fields.
7. Future Development Directions
1. Technical Aspects
– Advanced Processes: 3nm will become mainstream, with 2nm entering small-scale production, and domestic companies gradually narrowing the gap with international counterparts;
– New Materials: Ultra-wide bandgap materials like gallium oxide and diamond are entering experimental applications;
– Technological Integration: The combination of 3D packaging and silicon photonics technology is expected to exceed 40% penetration in data centers by 2027.
2. Market and Ecological Aspects
– Landscape: Characterized by “concentration at the top, dispersion in regions” with China’s market share continuing to rise;
– Growth: Automotive electronics, industrial internet, and medical devices are emerging growth points;
– Ecosystem: Transitioning from “single enterprise dominance” to “multi-entity collaboration,” with a gradually established industry standard system;
– Competition: Evolving from “computational power competition” to “chip + software + application” ecological competition, leading enterprises open ecosystems to attract partners, while small and medium-sized enterprises focus on niche scenarios to create differentiated advantages.
Conclusion
The ASIC industry is currently in a period of rapid development, driven by technological innovation (advanced processes, new materials, multi-technology integration) and application expansion (AI, automotive electronics, etc.) leading to rapid market growth. Despite facing challenges such as technological R&D and ecological barriers, breakthroughs in China’s industrial chain in design, manufacturing, and EDA tools provide strong momentum for industry development. In the future, with the acceleration of localization processes and deepening ecological collaboration, the ASIC industry will encounter more opportunities, becoming one of the core growth points in the semiconductor industry’s upgrade.