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Recent Reports
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Global AI Computing Hardware Market Growth 2025-2031
Sep 2025
Semiconductor and Electronics
Pages: 96
LPI4990
The global AI Computing Hardware market size is predicted to grow from US$ million in 2025 to US$ million in 2031; it is expected to grow at a CAGR of %from 2025 to 2031.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate ?9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.98%, including software, hardware and services.
Infinity Market Research newest research report, the ?AI Computing Hardware Industry Forecast? looks at past sales and reviews total world AI Computing Hardware sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Computing Hardware sales for 2025 through 2031. With AI Computing Hardware sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Computing Hardware industry.
This Insight Report provides a comprehensive analysis of the global AI Computing Hardware 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 Hardware portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms? unique position in an accelerating global AI Computing Hardware market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Computing Hardware 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 Hardware.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Computing Hardware market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
Stand-alone Vision Processor
Embedded Vision Processor
Stand-alone Sound Processor
Embedded Sound Processor
Segmentation by Application:
BFSI
Automotive
Healthcare
IT and Telecom
Aerospace and Defense
Energy and Utilities
Government and Public Services
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.
Cadence Design Systems Inc.
Synopsys Inc.
NXP Semiconductors NV
CEVA Inc.
Allied Vision Technologies GmbH
Arm Limited
Knowles Electronics LLC
GreenWaves Technologies
Andrea Electronics Corporation
Basler AG
Key Questions Addressed in this Report
What is the 10-year outlook for the global AI Computing Hardware market?
What factors are driving AI Computing Hardware market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do AI Computing Hardware market opportunities vary by end market size?
How does AI Computing Hardware break out by Type, by Application?
📘 Frequently Asked Questions
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