AI Server Industry Chain: Market Size, Competition, and Future Outlook

AI Server Industry Chain Overview

The AI server ecosystem consists of three layers: upstream components (CPU, GPU, storage chips, SSDs, PCBs, passive components), the mid‑stream AI servers themselves, and downstream application markets such as internet firms, cloud providers, data‑center operators, government, finance, healthcare, and telecom.

Upstream Component Analysis

1. CPU

Market size : 2022 Chinese CPU market reached ¥2003.45 billion (+10% YoY); 2023 estimated ¥2160.32 billion; 2024 forecast ¥2326.1 billion.

Competitive landscape : In 2022, Intel and AMD held ~50% and ~30% of the market respectively, while domestic players Huawei and MediaTek captured 10% and 5%.

2. Storage Chips

2022 market size ≈ ¥5170 billion (‑5.9% YoY); 2023 ≈ ¥5400 billion. Forecast 2024: ¥5513 billion driven by AI server demand.

Key domestic manufacturers include Zhaoyi Innovation, Beijing Junzheng, Jucheng, Unigroup, Fudan Micro, ChangXin, Yangtze Memory, and Puran.

3. Passive Components

Global passive component market reached ≈ $34.6 billion in 2022 (+5.17% YoY); 2023 ≈ $36.3 billion.

4. PCB

2022 Chinese PCB market: ¥3078.16 billion (+2.56% YoY); 2023: ¥3096.63 billion; 2024 forecast ¥3469.02 billion.

Market is fragmented; CR5 = 33.9%, led by Pengding Holdings (12.4%) and others.

Mid‑Stream AI Server Analysis

1. Global Shipments

2023 global AI server shipments (including GPU, FPGA, ASIC) ≈ 1.2 million units, CAGR 38.4%, ~9% of total server shipments. 2024 forecast >1.6 million units.

2. China Shipments

2022 AI server shipments ≈ 284,000 units (+25.66% YoY); 2023 ≈ 354,000 units; 2024 forecast 421,000 units.

3. Market Size

2022 domestic market > ¥420 billion (+20% YoY); 2023 ≈ ¥490 billion; 2024 forecast ¥560 billion.

4. Competitive Landscape

Market is highly concentrated. 2022: Inspur held ~47% share, followed by H3C (11%), Ningchang (9%), Anqing (7%), Kunqian (6%), Huawei (6%).

Down‑Stream Application Demand

1. Scenario Distribution

Internet firms account for ~47% of AI server demand, telecom operators ~20%, and communication equipment manufacturers ~9%.

2. Internet Sector

Jan‑Feb 2024, large‑scale internet and related service firms generated ¥2,463 billion revenue (+7.6% YoY).

3. Telecom Sector

Jan‑Feb 2024, three major telecom operators earned ¥440.6 billion from broadband (+6.7% YoY) and ¥1,063 billion from mobile data traffic (‑1.6% YoY).

AI Server Definition and Classification

AI servers are high‑performance computing devices designed for AI workloads, featuring powerful CPUs, accelerators (GPU/FPGA/ASIC), large/high‑speed memory, extensive storage, and efficient cooling. They can be classified by use case (training vs. inference), form factor (rack, tower, edge), and accelerator type.

Current Industry Status

1. Market Size and Shipments

2022‑2024 market size growth from ¥420 billion to an estimated ¥560 billion, with shipments rising from 284k to 421k units.

2. Server Structure

Training servers dominate with 57.33% share; inference servers hold 42.67% and are expected to grow as generative AI expands.

3. Competitive Landscape

Key domestic vendors: Inspur, H3C, Ningchang, Anqing, Kunqian, Huawei. Inspur’s NF5468A5 series is a flagship product.

Future Outlook

1. Policy Support

National policies promote AI R&D, talent cultivation, market expansion, and standards, boosting industry growth.

2. Technological Innovation

Rising AI adoption across finance, services, manufacturing, and energy fuels demand for AI servers.

3. Large‑Model Applications

Growth of large AI models drives massive compute needs, reinforcing AI servers’ market value.

4. Smart Computing Centers

Over 30 Chinese cities are building AI computing centers; investment during the 14th Five‑Year Plan could increase AI‑related industry output 2.9‑3.4×, further expanding AI server demand.