Global Data Center AI Computing Chips Market Growth 2024-2030
Data Center AI Computing Chips, also known as AI accelerators or AI inference chips, are specialized processors designed to handle artificial intelligence (AI) workloads efficiently within data center environments.
The global Data Center AI Computing Chips market size is projected to grow from US$ million in 2024 to US$ million in 2030; it is expected to grow at a CAGR of %from 2024 to 2030.
LP Information, Inc. (LPI) ' newest research report, the “Data Center AI Computing Chips Industry Forecast” looks at past sales and reviews total world Data Center AI Computing Chips sales in 2023, providing a comprehensive analysis by region and market sector of projected Data Center AI Computing Chips sales for 2024 through 2030. With Data Center AI Computing Chips sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Data Center AI Computing Chips industry.
This Insight Report provides a comprehensive analysis of the global Data Center AI Computing Chips 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 Data Center AI Computing Chips portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Data Center AI Computing Chips market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Data Center AI Computing Chips 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 Data Center AI Computing Chips.
United States market for Data Center AI Computing Chips is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
China market for Data Center AI Computing Chips is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Europe market for Data Center AI Computing Chips is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Global key Data Center AI Computing Chips players cover Nvidia, AMD, Intel, AWS, Google, etc. In terms of revenue, the global two largest companies occupied for a share nearly
% in 2023.
This report presents a comprehensive overview, market shares, and growth opportunities of Data Center AI Computing Chips market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
Cloud Training
Cloud Inference
Segmentation by Application:
Data Center
Intelligent Terminal
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
AMD
Intel
AWS
Google
Microsoft
Sapeon
Samsung
Meta
Key Questions Addressed in this Report
What is the 10-year outlook for the global Data Center AI Computing Chips market?
What factors are driving Data Center AI Computing Chips market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do Data Center AI Computing Chips market opportunities vary by end market size?
How does Data Center AI Computing Chips break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.