GPU Industry Deep Dive: Market Trends, Competitive Landscape, and Future Outlook

1. Industry Classification

The GPU sector can be divided into two main categories based on product usage. Independent GPUs are equipped with dedicated video memory and target graphics‑intensive scenarios such as gaming, professional design, and workstation workloads. Representative products include NVIDIA GeForce RTX series and AMD Radeon series. Integrated GPUs share system memory, offering lower cost, reduced power consumption, and smaller form factor, making them suitable for entry‑level computers, portable devices, and certain embedded applications. Typical examples are NVIDIA GeForce 6100 and AMD‑ATI X1250.

2. Industry Characteristics

The GPU industry features high technical barriers, rapid innovation, and strong policy support, resulting in fast growth and diverse application demand across PCs, servers, gaming consoles, autonomous vehicles, and AI workloads.

3. Development Status

Upstream, the supply chain includes wafer fabs, lithography equipment, and EDA/IP providers. Mid‑stream consists of GPU design and manufacturing firms, while downstream users span the internet, gaming, consumer electronics, and intelligent automotive sectors. The ecosystem relies on continuous feedback loops: market demand drives design improvements, and new applications stimulate further hardware development.

4. Market Size Evolution

According to the Ministry of Industry and Information Technology, China's micro‑computer production reached 4.34 billion units in 2022, with year‑over‑year growth rates of 13.2 %, 42.3 %, 22.3 % and a decline of 8.3 % in different quarters. This surge in device volume has driven GPU demand, especially in desktop PCs where quarterly shipments peaked at 9 million units. AI large‑model training and autonomous driving have become new growth engines, requiring massive GPU resources.

5. Competitive Landscape

Globally, NVIDIA dominates the GPU market with over 90 % share, while AMD holds less than 10 %. International sanctions have reshaped the competitive picture in China: Huawei’s Ascend series (e.g., Ascend 910 with 640 TOPS INT8 performance) is closing the gap, and domestic manufacturers such as Cambricon, HaiGuang, and others are emerging, though many remain in early stages or limited to specific niches.

In 2023, NVIDIA’s data‑center revenue reached $47.405 billion, accounting for 77.8 % of its total revenue, up from 55.9 % in 2022, reflecting the explosive AI compute demand. The H800 chip, restricted by export controls, was replaced by the H20 and later by Huawei’s 910B, which surpasses the H20’s 296 TOPS with 640 TOPS INT8 performance.

6. Policy and Future Outlook

Chinese semiconductor policy and recent guidance from the China Semiconductor Industry Association aim to reduce reliance on foreign GPUs, encouraging domestic development. Forecasts suggest that by 2025, AI‑related GPU compute capacity could exceed 300 EFLOPS, with AI workloads accounting for 35 % of total GPU demand.

Domestic desktop GPU vendors such as Zhaoxin, Jingjiawei, and others are beginning to ship products compatible with major OEMs, while Huawei’s Ascend line continues to improve performance and ecosystem support (e.g., CANN deep‑learning framework). The overall trend points to a gradual rebalancing of the GPU market, with Chinese firms gaining market share as export restrictions persist.