Global High-performance AI Chips Market Research Report 2024

Publication ID:

PB509240328

Publication Date:

September 27, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Semiconductors [2]

Computing & Electronics [3]

Description:

High-performance AI chips are hardware components designed specifically to accelerate the computation of artificial intelligence (AI) algorithms and models. They have powerful parallel processing capabilities and can efficiently process large-scale data sets and complex computing tasks. The emergence of high-performance AI chips has promoted the development of AI technology, making more complex and larger-scale AI applications possible.
The global High-performance AI Chips market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for High-performance AI Chips is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for High-performance AI Chips is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global manufacturers of High-performance AI Chips include NVIDIA, AMD, Intel, SiFive, Google, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for High-performance AI Chips, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding High-performance AI Chips.
The High-performance AI Chips market size, estimations, and forecasts are provided in terms of output/shipments (K Pcs) and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global High-performance AI Chips market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the High-performance AI Chips manufacturers, new entrants, and industry chain related companies in this market with information on the revenues, production, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
NVIDIA
AMD
Intel
SiFive
Google
by Type
Cloud AI Chips
End-side AI Chips
by Application
Cloud Computing and Data Centers
Security Monitoring
Medical Care
Autonomous Driving
Others
Production by Region
North America
Europe
China
Japan
South Korea
Consumption by Region
North America
U.S.
Canada
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Europe
Germany
France
U.K.
Italy
Russia
Rest of Europe
Latin America, Middle East & Africa
Mexico
Brazil
Turkey
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by region, by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Detailed analysis of High-performance AI Chips manufacturers competitive landscape, price, production and value market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Production/output, value of High-performance AI Chips by region/country. It provides a quantitative analysis of the market size and development potential of each region in the next six years.
Chapter 4: Consumption of High-performance AI Chips in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and production of each country in the world.
Chapter 5: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product production/output, value, price, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 10: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 High-performance AI Chips Market Overview
1.1 Product Definition
1.2 High-performance AI Chips by Type
1.2.1 Global High-performance AI Chips Market Value Growth Rate Analysis by Type: 2023 VS 2030
1.2.2 Cloud AI Chips
1.2.3 End-side AI Chips
1.3 High-performance AI Chips by Application
1.3.1 Global High-performance AI Chips Market Value Growth Rate Analysis by Application: 2023 VS 2030
1.3.2 Cloud Computing and Data Centers
1.3.3 Security Monitoring
1.3.4 Medical Care
1.3.5 Autonomous Driving
1.3.6 Others
1.4 Global Market Growth Prospects
1.4.1 Global High-performance AI Chips Production Value Estimates and Forecasts (2019-2030)
1.4.2 Global High-performance AI Chips Production Capacity Estimates and Forecasts (2019-2030)
1.4.3 Global High-performance AI Chips Production Estimates and Forecasts (2019-2030)
1.4.4 Global High-performance AI Chips Market Average Price Estimates and Forecasts (2019-2030)
1.5 Assumptions and Limitations
2 Market Competition by Manufacturers
2.1 Global High-performance AI Chips Production Market Share by Manufacturers (2019-2024)
2.2 Global High-performance AI Chips Production Value Market Share by Manufacturers (2019-2024)
2.3 Global Key Players of High-performance AI Chips, Industry Ranking, 2022 VS 2023
2.4 Global High-performance AI Chips Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
2.5 Global High-performance AI Chips Average Price by Manufacturers (2019-2024)
2.6 Global Key Manufacturers of High-performance AI Chips, Manufacturing Sites & Headquarters
2.7 Global Key Manufacturers of High-performance AI Chips, Product Type & Application
2.8 Global Key Manufacturers of High-performance AI Chips, Date of Enter into This Industry
2.9 Global High-performance AI Chips Market Competitive Situation and Trends
2.9.1 Global High-performance AI Chips Market Concentration Rate
2.9.2 Global 5 and 10 Largest High-performance AI Chips Players Market Share by Revenue
2.10 Mergers & Acquisitions, Expansion
3 High-performance AI Chips Production by Region
3.1 Global High-performance AI Chips Production Value Estimates and Forecasts by Region: 2019 VS 2023 VS 2030
3.2 Global High-performance AI Chips Production Value by Region (2019-2030)
3.2.1 Global High-performance AI Chips Production Value Market Share by Region (2019-2024)
3.2.2 Global Forecasted Production Value of High-performance AI Chips by Region (2025-2030)
3.3 Global High-performance AI Chips Production Estimates and Forecasts by Region: 2019 VS 2023 VS 2030
3.4 Global High-performance AI Chips Production by Region (2019-2030)
3.4.1 Global High-performance AI Chips Production Market Share by Region (2019-2024)
3.4.2 Global Forecasted Production of High-performance AI Chips by Region (2025-2030)
3.5 Global High-performance AI Chips Market Price Analysis by Region (2019-2024)
3.6 Global High-performance AI Chips Production and Value, Year-over-Year Growth
3.6.1 North America High-performance AI Chips Production Value Estimates and Forecasts (2019-2030)
3.6.2 Europe High-performance AI Chips Production Value Estimates and Forecasts (2019-2030)
3.6.3 China High-performance AI Chips Production Value Estimates and Forecasts (2019-2030)
3.6.4 Japan High-performance AI Chips Production Value Estimates and Forecasts (2019-2030)
3.6.5 South Korea High-performance AI Chips Production Value Estimates and Forecasts (2019-2030)
4 High-performance AI Chips Consumption by Region
4.1 Global High-performance AI Chips Consumption Estimates and Forecasts by Region: 2019 VS 2023 VS 2030
4.2 Global High-performance AI Chips Consumption by Region (2019-2030)
4.2.1 Global High-performance AI Chips Consumption by Region (2019-2030)
4.2.2 Global High-performance AI Chips Forecasted Consumption by Region (2025-2030)
4.3 North America
4.3.1 North America High-performance AI Chips Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
4.3.2 North America High-performance AI Chips Consumption by Country (2019-2030)
4.3.3 U.S.
4.3.4 Canada
4.4 Europe
4.4.1 Europe High-performance AI Chips Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
4.4.2 Europe High-performance AI Chips Consumption by Country (2019-2030)
4.4.3 Germany
4.4.4 France
4.4.5 U.K.
4.4.6 Italy
4.4.7 Netherlands
4.5 Asia Pacific
4.5.1 Asia Pacific High-performance AI Chips Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
4.5.2 Asia Pacific High-performance AI Chips Consumption by Region (2019-2030)
4.5.3 China
4.5.4 Japan
4.5.5 South Korea
4.5.6 China Taiwan
4.5.7 Southeast Asia
4.5.8 India
4.6 Latin America, Middle East & Africa
4.6.1 Latin America, Middle East & Africa High-performance AI Chips Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
4.6.2 Latin America, Middle East & Africa High-performance AI Chips Consumption by Country (2019-2030)
4.6.3 Mexico
4.6.4 Brazil
4.6.5 Israel
5 Segment by Type
5.1 Global High-performance AI Chips Production by Type (2019-2030)
5.1.1 Global High-performance AI Chips Production by Type (2019-2024)
5.1.2 Global High-performance AI Chips Production by Type (2025-2030)
5.1.3 Global High-performance AI Chips Production Market Share by Type (2019-2030)
5.2 Global High-performance AI Chips Production Value by Type (2019-2030)
5.2.1 Global High-performance AI Chips Production Value by Type (2019-2024)
5.2.2 Global High-performance AI Chips Production Value by Type (2025-2030)
5.2.3 Global High-performance AI Chips Production Value Market Share by Type (2019-2030)
5.3 Global High-performance AI Chips Price by Type (2019-2030)
6 Segment by Application
6.1 Global High-performance AI Chips Production by Application (2019-2030)
6.1.1 Global High-performance AI Chips Production by Application (2019-2024)
6.1.2 Global High-performance AI Chips Production by Application (2025-2030)
6.1.3 Global High-performance AI Chips Production Market Share by Application (2019-2030)
6.2 Global High-performance AI Chips Production Value by Application (2019-2030)
6.2.1 Global High-performance AI Chips Production Value by Application (2019-2024)
6.2.2 Global High-performance AI Chips Production Value by Application (2025-2030)
6.2.3 Global High-performance AI Chips Production Value Market Share by Application (2019-2030)
6.3 Global High-performance AI Chips Price by Application (2019-2030)
7 Key Companies Profiled
7.1 NVIDIA
7.1.1 NVIDIA High-performance AI Chips Company Information
7.1.2 NVIDIA High-performance AI Chips Product Portfolio
7.1.3 NVIDIA High-performance AI Chips Production, Value, Price and Gross Margin (2019-2024)
7.1.4 NVIDIA Main Business and Markets Served
7.1.5 NVIDIA Recent Developments/Updates
7.2 AMD
7.2.1 AMD High-performance AI Chips Company Information
7.2.2 AMD High-performance AI Chips Product Portfolio
7.2.3 AMD High-performance AI Chips Production, Value, Price and Gross Margin (2019-2024)
7.2.4 AMD Main Business and Markets Served
7.2.5 AMD Recent Developments/Updates
7.3 Intel
7.3.1 Intel High-performance AI Chips Company Information
7.3.2 Intel High-performance AI Chips Product Portfolio
7.3.3 Intel High-performance AI Chips Production, Value, Price and Gross Margin (2019-2024)
7.3.4 Intel Main Business and Markets Served
7.3.5 Intel Recent Developments/Updates
7.4 SiFive
7.4.1 SiFive High-performance AI Chips Company Information
7.4.2 SiFive High-performance AI Chips Product Portfolio
7.4.3 SiFive High-performance AI Chips Production, Value, Price and Gross Margin (2019-2024)
7.4.4 SiFive Main Business and Markets Served
7.4.5 SiFive Recent Developments/Updates
7.5 Google
7.5.1 Google High-performance AI Chips Company Information
7.5.2 Google High-performance AI Chips Product Portfolio
7.5.3 Google High-performance AI Chips Production, Value, Price and Gross Margin (2019-2024)
7.5.4 Google Main Business and Markets Served
7.5.5 Google Recent Developments/Updates
8 Industry Chain and Sales Channels Analysis
8.1 High-performance AI Chips Industry Chain Analysis
8.2 High-performance AI Chips Key Raw Materials
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.3 High-performance AI Chips Production Mode & Process
8.4 High-performance AI Chips Sales and Marketing
8.4.1 High-performance AI Chips Sales Channels
8.4.2 High-performance AI Chips Distributors
8.5 High-performance AI Chips Customers
9 High-performance AI Chips Market Dynamics
9.1 High-performance AI Chips Industry Trends
9.2 High-performance AI Chips Market Drivers
9.3 High-performance AI Chips Market Challenges
9.4 High-performance AI Chips Market Restraints
10 Research Findings and Conclusion
11 Methodology and Data Source
11.1 Methodology/Research Approach
11.1.1 Research Programs/Design
11.1.2 Market Size Estimation
11.1.3 Market Breakdown and Data Triangulation
11.2 Data Source
11.2.1 Secondary Sources
11.2.2 Primary Sources
11.3 Author List
11.4 Disclaimer

Companies Mentioned:

NVIDIA
AMD
Intel
SiFive
Google

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.

91制片厂