AI Calculus Chips Market Size, Trends & Forecasts | Valuates Reports

AI Calculus Chips Market Size

The global market for AI Calculus Chips was valued at US$ 46520 million in the year 2024 and is projected to reach a revised size of US$ 269300 million by 2031, growing at a CAGR of 25.1% during the forecast period.

AI Calculus Chips are integrated circuits (ICs) specifically designed to accelerate artificial intelligence (AI) workloads, such as deep learning, machine learning, and neural network computation. These chips provide higher parallel processing power, lower power consumption, and optimized efficiency compared to traditional CPUs and GPUs.

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Market Trends:

The AI chip market continues to grow: The global AI chip market continues to grow, mainly driven by demand in data centers, autonomous driving, edge computing and other fields.

Exponential growth in AI computing demand: As AI models become more complex, computing demand continues to rise, driving the development of high-end AI chips.

AI chip technology innovation accelerates: Adopting more advanced 3nm and 2nm process technologies, and introducing technologies such as Chiplet and HBM (high bandwidth memory) to improve computing efficiency and energy efficiency.

The trend of localization of AI chips is obvious: Due to the increasing uncertainty in the global semiconductor supply chain, China, Europe and other countries have increased their investment in the research and development of independent AI chips.

Driving Factors:

The popularity of AI applications: From data centers to autonomous driving, the application of AI technology in various fields has driven the demand for high-performance AI chips.

The development of large-scale AI models: The development of large language models requires powerful computing power, which has driven the demand for advanced AI chips.

The growth of edge computing: The increasing demand for AI reasoning capabilities in edge devices such as IoT devices and smartphones has promoted the development of low-power, high-performance AI chips.

Government and corporate investment: Increased investment in AI infrastructure by governments and large enterprises has driven the development of the AI chip market.

By Type
• GPU
• FPGA
• ASIC
• Other

By Application
• Data Center
• Autonomous Driving
• Smart Manufacturing
• Consumer Electronics

Key Companies
NVIDIA, Google, Microsoft, AWS, Intel, Samsung, AMD, Qualcomm, IBM, Apple, Meta, Huawei, Kunlunxin, Iluvatar CoreX, T-Head, Cambricon, Jingjia Microelectronics, Hygon, MetaX, Enflame

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This release was published on openPR.