Global AI Computing Modules Market Growth 2025-2031

The global AI Computing Modules market size is predicted to grow from US$ 1513 million in 2025 to US$ 2645 million in 2031; it is expected to grow at a CAGR of 9.8% from 2025 to 2031.

AI computing modules are specialized hardware units designed to efficiently handle artificial intelligence tasks such as machine learning, data processing, and inference. They typically integrate high-performance processors (CPUs or GPUs), memory, storage, and sometimes sensors, into a compact form, offering a powerful platform for running AI algorithms. These modules often include AI accelerators like TPUs or FPGAs for enhanced performance, while also ensuring energy efficiency and scalability across applications such as autonomous vehicles, robotics, edge computing, and smart devices. They simplify AI deployment by providing integrated software frameworks and are widely used in sectors like automotive, healthcare, and manufacturing.

United States market for AI Computing Modules is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for AI Computing Modules is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for AI Computing Modules is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key AI Computing Modules players cover NVIDIA, Intel, Qualcomm, AMD, Google, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LP Information, Inc. (LPI) ' newest research report, the “AI Computing Modules Industry Forecast” looks at past sales and reviews total world AI Computing Modules sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Computing Modules sales for 2025 through 2031. With AI Computing Modules sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Computing Modules industry.

This Insight Report provides a comprehensive analysis of the global AI Computing Modules landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on AI Computing Modules portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Computing Modules market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Computing Modules and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Computing Modules.

This report presents a comprehensive overview, market shares, and growth opportunities of AI Computing Modules market by product type, application, key manufacturers and key regions and countries.

Segmentation by Type:
GPU-based AI Modules
TPU-based AI Modules
FPGA-based AI Modules
ASIC-based AI Modules

Segmentation by Application:
Data Centers
Autonomous Vehicles
Medical Devices
Telecommunications
Financial Services
Retail & E-commerce
Industrial Automation
Smart Cities
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analysing the company's coverage, product portfolio, its market penetration.
NVIDIA
Intel
Qualcomm
AMD
Google
Apple
Micron Technology
Cerebras Systems
Mythic AI
Kneron
Graphcore
Arm Holdings
NXP Semiconductors
Baikal Electronics
Samsung
MediaTek
Huawei
Rockchip

Key Questions Addressed in this Report

What is the 10-year outlook for the global AI Computing Modules market?

What factors are driving AI Computing Modules market growth, globally and by region?

Which technologies are poised for the fastest growth by market and region?

How do AI Computing Modules market opportunities vary by end market size?

How does AI Computing Modules break out by Type, by Application?

Please note: The report will take approximately 2 business days to prepare and deliver.