Investment Logic of Key Tracks Under the 15th Five-Year Plan and Analysis of Alpha Returns from Domestic Substitution
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Based on the latest policy developments, China is formulating the 15th Five-Year Plan (2026-2030), which is a follow-up to the “Made in China 2025” strategy [1]. Core policy directions include:
- New productive forces: Cultivate and expand emerging industries and future industries, focusing on innovation-driven development, real economy, and the construction of a domestic circulation system
- High-level technological self-reliance: Prioritize support for key technologies and equipment such as semiconductors
- Manufacturing power goal: Maintain a stable share of manufacturing in GDP (currently around 25%)
Based on policy documents and brokerage research reports, the 16 key tracks include [1][2]:
- Next-generation information technology: AI computing power, optical communication, cloud computing
- Semiconductor entire industry chain: Design, manufacturing, packaging and testing, equipment and materials
- High-end equipment manufacturing: Industrial mother machines, robots, aero-engines
- New energy industry: Photovoltaics, wind power, energy storage, hydrogen energy
- New materials: Semiconductor materials, high-temperature alloys, composite materials
- Biomedicine: Innovative drugs, high-end medical devices, vaccines
- Aerospace: Commercial aircraft, satellite navigation, launch vehicles
- New energy vehicles: Intelligent electric vehicles, power batteries, charging facilities
- Digital infrastructure: Data centers, 5G/6G, industrial internet
- Green low-carbon technology: Carbon capture, energy conservation and environmental protection, carbon management
- Quantum technology: Quantum computing, quantum communication
- Low-altitude economy: Unmanned aerial vehicles (UAVs), eVTOL, general aviation
- Deep sea and deep earth exploration: Deep sea equipment, geothermal energy development
- Brain-computer interface: Neural regulation, brain-computer integration
- Embodied intelligence: Humanoid robots, autonomous driving machines
- Future networks: Satellite internet, air-space-ground integration
According to Bloomberg reports, China is preparing a semiconductor industry incentive plan of up to $70 billion [1], which will bring huge financial support to the industry chain. The investment logic has shifted from simple “localization rate” improvement to:
- Entire industry chain breakthrough: Systematic breakthroughs from design to manufacturing, packaging and testing, equipment and materials
- Mature process first: Form global competitiveness in mature processes of 28nm and above
- Equipment and materials breakthrough: Focus on breaking through “chokepoint” links such as lithography machines, etching machines, and thin film deposition equipment
The global semiconductor industry will show the following trends in 2026 [3]:
- AI chip demand surge: Demand for data center AI accelerators and edge AI chips will surge, and the demand for edge computing power chips is expected to grow 40,000 times
- Advanced packaging technology: 2.5D/3D packaging becomes key to performance improvement; China’s YSEMI has developed 128-core 2.5D packaging technology
- Heterogeneous computing architecture: In-memory computing and near-memory computing technologies break through the “memory wall” and “power wall”
- Automotive-grade chip market: Chinese enterprises are accelerating breakthroughs in automotive-grade MCU, adapting to extreme working conditions from -40°C to 150°C
- From “having it or not” to "being good or not: Initially solving the 0-to-1 breakthrough, now focusing on 1-to-N competitiveness improvement
- From single link to ecosystem construction: Emphasize the collaborative development of EDA tools, IP cores, materials and equipment
- From policy-driven to market verification: Focus on the actual adoption of products at customers and yield performance
Semiconductor materials are the weakest link in domestic substitution but have the largest alpha returns:
- Photoresist: Domestic rate of ArF photoresist is less than 5%, KrF photoresist less than 10%, and high-end EUV photoresist is completely dependent on imports. Every 10 percentage points increase in domestic rate corresponds to a market space of billions of yuan
- CMP polishing materials: Domestic rate of polishing slurry and pads is about 15-20%, but high-end products are still monopolized by Japanese and American enterprises
- Electronic specialty gases: Domestic rate of high-purity electronic specialty gases is less than 30%, and high-end etching gases are almost entirely dependent on imports
- Target materials: Domestic rate of basic target materials such as copper targets and aluminum targets is high, but that of high-end products like high-purity tantalum targets and titanium targets is less than 20%
- High-temperature alloys: Materials for aero-engine blades; domestic rate is about 50%, but core materials like single-crystal blades are still constrained by others
- Carbon fiber: T300/T400 grades have achieved mass production, but the yield of T700/T800 high-performance carbon fiber still lags behind international advanced levels
- Special engineering plastics: Special plastics like polyimide and PEEK are widely used in semiconductors and aerospace, with a domestic rate of about 30-40%
The largest alpha in new materials comes from 0-to-1 technological breakthroughs:
- High technical barrier segments: Photoresist, electronic specialty gases, high-end target materials, etc.
- Long verification cycle application scenarios: Materials requiring long-term certification such as aerospace and automotive-grade
- Single import-dependent “chokepoint” links: EUV photoresist, high-purity tantalum targets, etc.
According to Morgan Stanley’s “Robot on Earth” report, the market size of embodied intelligence will surge from $100 billion in 2025 to $25 trillion in 2050, with a CAGR of 25% [2]. Segments include:
- Humanoid robots: $7.5 trillion (China’s market is expected to account for 30-40% of the global market, with annual sales exceeding 50 million units)
- Autonomous driving vehicles: $5.6 trillion (China’s L4 autonomous driving vehicle ownership will reach 1.5 million in 2030 and 160 million in 2050)
- Service robots: $5 trillion
- UAVs/Aircraft: $4.7 trillion
- Industrial robots: $2.2 trillion
- Supply chain integration capability: Chinese enterprises already account for more than 60% of the global market share in core components like Tesla Optimus
- Complex scenario data: China has the world’s most complex road condition data, providing high-quality datasets for autonomous driving training
- Cost control advantage: China is expected to reduce the cost of humanoid robots from the current hundreds of thousands of dollars to a target price of $20,000
Morgan Stanley’s report emphasizes that the growth potential of “shovel-selling” component manufacturers far exceeds that of complete machine manufacturers [2]:
- Reducer demand: Expected to grow 590 times
- Battery demand: Expected to grow 1,400 times
- Edge computing power chips: Expected to grow 40,000 times
The 2025 Humanoid Robot Annual Conference pointed out that the current industry faces the following main challenges [4]:
- Dexterous hand operation capability: Fine operations still need breakthroughs
- Large model and hardware collaboration: The real capability of embodied large models remains to be verified
- Power system: High-energy density batteries and high-efficiency motors are key
- Commercialization path: The order of landing in industrial, special, and commercial scenarios is not yet clear
- Five-axis linkage CNC machine tools: Core equipment for aero-engine blades and precision mold manufacturing; domestic rate is less than 10%
- High-precision grinders: Key equipment for processing precision parts like bearings and gears; the high-end market is mainly occupied by Japanese and German enterprises
- Gantry machining centers: Necessary for large part processing; domestic equipment still lags in precision and stability
- Strong policy promotion: “Industrial mother machines” have been elevated to a national strategy with strong policy support
- Long verification cycle: Once imported into the customer’s supply chain, the stickiness is strong, and customers will not easily change suppliers
- Large import substitution space: Annual imports of high-end machine tools exceed $5 billion, with broad domestic substitution space
- Data center computing power: With the surge in large model training demand, the construction of intelligent computing centers is accelerating
- Edge computing power: Scenarios like embodied intelligence and autonomous driving require edge AI chip support
- Communication networks: Construction of new infrastructure like 5G/6G, optical communication, and satellite internet
Forbes analysis points out that China’s AI strategy has significant differences from the West [5]:
- Energy priority: Focus on solving AI energy consumption issues, deeply integrating with renewable energy
- Application-driven: Emphasize the landing of AI in real economy fields like manufacturing and energy
- Computing power independence: Develop domestic AI chips (Huawei Ascend, Cambricon, etc.)
China has leading advantages in the global low-altitude economy:
- EHang: Manned autonomous flying vehicles have obtained the world’s first airworthiness certification
- DJI: Occupies more than 70% of the global consumer UAV market share
- Logistics application: UAV delivery has achieved commercial operation in some areas
- Urban Air Mobility (UAM): Alleviate ground traffic congestion
- Logistics delivery: Remote areas, emergency material delivery
- Agricultural plant protection: Precision agriculture, intelligent spraying
- Emergency rescue: Disaster rescue, medical material delivery
- Lithography machines: EUV lithography machines are embargoed, DUV lithography machines are restricted; domestic enterprises like SMEE are accelerating breakthroughs. Each breakthrough in a process node corresponds to a market space of tens of billions of yuan
- Photoresist: Domestic rate of ArF/KrF photoresist is less than 5-10%, and the verification cycle is as long as 2-3 years; once broken through, it will form a strong barrier
- CMP polishing materials: High-end CMP polishing pads are monopolized by Dow Chemical, with large domestic substitution space
- Five-axis linkage CNC machine tools: The price of a single device can reach tens of millions of yuan, with annual imports exceeding 10 billion yuan
- High-precision measurement equipment: Domestic rate of high-end measurement equipment like coordinate measuring machines and roundness meters is low
- Core components: Key components like CNC systems, spindles, and screws are dependent on imports
- Semiconductor materials: Electronic specialty gases, target materials, packaging materials, etc.
- High-temperature alloys: Materials for aero-engine blades; single-crystal blade technology is extremely difficult
- High-performance composite materials: Carbon fiber-reinforced composite materials are widely used in aerospace
- Lower domestic rate, larger space: Focus on segments with domestic rate below 20% or even below 10%
- Longer verification cycle, higher barrier: Fields requiring long-term certification like automotive-grade and aerospace will form strong barriers once entering the supply chain
- Stronger policy promotion: Fields included in the “new productive forces” and “chokepoint” technology lists have strong policy support
- More rigid market demand: Fields related to national security like semiconductors, new energy, and aerospace have high demand certainty
- Higher technical threshold: Fields requiring long-term R&D accumulation are difficult for competitors to enter
- Localization rate: The proportion of domestic substitution achieved in a link; focuses on progress
- Domestic rate: The global market share of domestic enterprises in the link; focuses on competitiveness
- Photovoltaic industry: Localization rate is close to 100%, but domestic rate (global share) also exceeds 80%, already having global competitiveness
- Semiconductor equipment: Localization rate is about 20%, but domestic rate is less than 10%, still having large room for improvement
- Photoresist: Localization rate is less than 10%, domestic rate is almost zero, which is the largest alpha source
- Fields with high localization rate but low domestic rate: Have room for global competitiveness improvement (e.g., photovoltaics, lithium batteries)
- Fields with low localization rate and low domestic rate: 0-to-1 breakthroughs bring the largest alpha (e.g., photoresist, high-end machine tools)
- Some “chokepoint” technologies (e.g., EUV lithography machines) involve global supply chains and are difficult to fully break through in the short term
- New materials have long R&D cycles and high failure rates, requiring long-term investment
- Countries like the US continue to tighten technology export controls on China
- Some fields may face further sanctions
- Some technologies have breakthroughs, but yield and cost still cannot compete with international giants
- Customer import cycle is long, requiring long-term verification
- Some popular tracks (e.g., humanoid robots, quantum computing) have high current valuations
- Technology maturity and commercialization progress may fall short of expectations
Hard tech investment requires a long-term perspective; R&D and capital expenditure being higher than current returns for a long time is the norm in industrial evolution. Investors should:
- Focus on the proportion of R&D investment to revenue of enterprises
- Emphasize core technical teams and patent accumulation
- Tolerate short-term performance fluctuations and focus on long-term competitive position
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- Technological breakthrough capability: Whether it masters core technologies or is breaking through key bottlenecks
- Customer verification progress: Whether there are leading customers imported or under verification
- R&D investment intensity: Whether the R&D expense ratio is higher than the industry average
- Policy support intensity: Whether it is included in the national key support list
- Valuation rationality: Whether the current valuation fully reflects expectations
The 15th Five-Year Plan (2026-2030) will be a key five years for China to move from a “manufacturing large country” to a “manufacturing power”. Policy resources will be highly concentrated on 16 key tracks like semiconductors, new materials, and embodied intelligence; investors should focus on:
2.
3.
- From “localization rate” to “domestic rate”: Focus on the improvement of Chinese enterprises’ global market competitiveness
- From “having it or not” to “being good or not”: From simple breakthroughs to having global competitiveness
- From policy-driven to market verification: Focus on the performance of technology in actual application scenarios
- New productive forces are the core main line running through the 15th Five-Year Plan and even 2035
- Embodied intelligence (25 trillion US dollar market) will be the next trillion-dollar track after the Internet
- China, with its supply chain integration capability and market scale advantages, is expected to form global competitiveness in multiple fields
Investors should adopt a long-term perspective, tolerate short-term fluctuations, focus on core technological breakthroughs and global competitiveness improvement, and seize the historical opportunity of China’s manufacturing industry upgrade.
[1] Bloomberg - “China Prepares as Much as $70 Billion in Chip Sector Incentives” (https://www.bloomberg.com/news/articles/2025-12-12/china-prepares-as-much-as-70-billion-in-chip-sector-incentives)
[2] Yahoo财经(香港) - “1保險商受矚!大摩揭示未來25年投資密碼” (https://hk.finance.yahoo.com/news/1保險商受矚-大摩揭示未來25年投資密碼-具身智能等三大-黃金賽道-擁25兆美元產值-041513762.html)
[3] Yahoo财经(香港) - “2026年全球半導體產業趨勢:AI、5G、物聯網與永續製造引領產業重構” (https://hk.finance.yahoo.com/news/2026年全球半導體產業趨勢研究報告-ai-5g-物聯網與永續製造引領產業重構-140002095.html)
[4] Yahoo财经(香港) - “直擊產業深水區!2025高工人形機器人年會登場六大亮點” (https://hk.finance.yahoo.com/news/直擊產業深水區-2025高工人形機器人年會登場-六大亮點-次看-0710033
Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.
About us: Ginlix AI is the AI Investment Copilot powered by real data, bridging advanced AI with professional financial databases to provide verifiable, truth-based answers. Please use the chat box below to ask any financial question.
