In-Depth Analysis of the AI Chip Industry Landscape in 2025: Cambricon vs. Huawei Ascend

1. Market Landscape: Accelerated Domestic Substitution, Formation of a Duopoly

“Under the U.S. chip blockade, the Chinese AI computing market is surprisingly divided by these two companies, capturing 35%!”

  • In Q1 2025, the domestic AI chip substitution rate soared to 45%, with Huawei Ascend and Cambricon together holding 35% of the cloud market share, surpassing the combined total of AMD and Intel.
  • Cambricon’s revenue in Q1 2025 reached 1.111 billion yuan, a staggering year-on-year increase of 4230%, with a net profit of 355 million yuan, marking a historic turnaround; Huawei Ascend’s shipment target for 2025 is 800,000 units, more than 10 times the growth compared to 2024.In-Depth Analysis of the AI Chip Industry Landscape in 2025: Cambricon vs. Huawei Ascend

Market Drivers:

  1. Policy Benefits: The U.S. chip export controls are forcing domestic substitution, with the government prioritizing AI computing infrastructure under the “new productive forces” strategy.
  2. Technological Breakthroughs: The performance of Cambricon’s 7nm Siyuan 590 chip reaches 82% of NVIDIA’s A100, while Huawei’s Ascend 910C adopts SMIC’s N+2 process with a yield exceeding 40%.
  3. Explosive Demand: China’s AI computing expenditure is expected to exceed 900 billion yuan in 2025, with 70% allocated for GPU procurement, allowing domestic chips to capture a 630 billion yuan market.In-Depth Analysis of the AI Chip Industry Landscape in 2025: Cambricon vs. Huawei Ascend

2. Technical Route Comparison: Architecture Ecosystem vs. Full-Stack Collaboration

“Cambricon’s self-developed architecture focuses on single-point breakthroughs, while Huawei’s Ascend ecosystem dominates—who is superior?”

Dimension Cambricon Huawei Ascend
Core Technology Self-developed instruction set + microarchitecture (Siyuan series) Full-stack self-development (Ascend chips + Kunpeng servers + CANN framework)
Performance Metrics Siyuan 590 computing power 1000 TOPS, energy efficiency improved by 40% Ascend 910C single card computing power 900 TFLOPS, cluster expansion up to 1024 cards
Ecological Barriers Toolchain compatible with over 160 third-party large models Ascend community open-source models deeply optimized, covering government/finance/healthcare
Manufacturing Risks 7nm reliant on TSMC, threatened by U.S. sanctions SMIC’s N+2 process for domestic mass production, safer supply chain

Technical Trend Predictions:

  • Architectural Revolution In 2026, integrated storage and computing chips will break traditional architectures, improving energy efficiency by another 5-8 times, with Cambricon already laying out Chiplet technology.
  • Process Breakthrough SMIC’s 5nm multi-patterning technology has a production cost 47% higher, but provides a window for validating domestic equipment.

3. Industry Chain Overview: Key Positions from Design to Application

Industry Chain Map (Simplified Version):

  1. Upstream Design Huawei Ascend (Tuwei Information), Cambricon, Haiguang Information (breaking through 1000 TOPS computing power).
  2. Midstream Manufacturing SMIC (N+2 process), Hua Hong Semiconductor (mature process orders extend to 2026).
  3. Packaging and Testing Support Changdian Technology (core supplier for Huawei), Tongfu Microelectronics (partner of Cambricon).
  4. Equipment Materials Northern Huachuang (5nm etching machine), Anji Technology (polishing liquid market share 7%).

5. Scene Implementation: Intelligent Driving (Horizon), Cloud Computing (Alibaba Cloud procured over 500 million yuan from Cambricon)

Investment Logic:

  • Short-term: Focus on performance explosion targets (Cambricon’s inventory increased by 980 million yuan quarter-on-quarter, indicating continuous order growth).
  • Long-term: Bet on ecosystem builders (Huawei Ascend has connected to 30 provincial intelligent computing centers)

4. Risks and Opportunities: The Bright and Dark Lines of a Trillion Market

Risk Warnings:

  • Geopolitical

The U.S. may escalate the DUV lithography machine ban, making SMIC’s mature process a “lifeline”.Technological Gap: The gap between Cambricon’s software ecosystem and CUDA is significant, with high customer migration costs.

Strategic Opportunities:

  • Policy Support

Semiconductor equipment procurement subsidies can reach up to 30%, with lithography and etching machines as key focuses.

  • Technological Leap

Photonic computing chips are expected to complete validation by 2025, and quantum computing may disrupt the industry landscape.

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