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Global AI Chip Design Market Research Report 2023
SKU ID : QYR-23486527 | Publishing Date : 10-Apr-2023
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Chip design, also known as integrated circuit design (IC design), also known as VLSI design, refers to the design process aiming at integrated circuits and VLSI. Integrated circuit design involves the establishment of models for electronic devices (such as transistors, resistors, capacitors, etc.) and interconnections between devices. All devices and interconnects need to be placed on a piece of semiconductor substrate material. These components are placed on a single silicon substrate through semiconductor device manufacturing process (such as photolithography) to form a circuit. AI chips are also known as AI accelerators or computing cards, that is, modules specially used to deal with a large number of computing tasks in AI applications. This report focuses on AI chip design.
The global AI Chip Design market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for AI Chip Design is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for AI Chip Design is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for AI Chip Design in Consumer Electronics is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of AI Chip Design include Intel, Nvidia, Samsung, AMD, Canaan Inc., Google, Huawei Hisilicon, Cambricon and Beijing Horizon Robotics Technology R&D Co., Ltd., etc. In 2022, 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 AI Chip Design, 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 AI Chip Design.
The AI Chip Design market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global AI Chip Design 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 AI Chip Design companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Intel
Nvidia
Samsung
AMD
Canaan Inc.
Google
Huawei Hisilicon
Cambricon
Beijing Horizon Robotics Technology R&D Co., Ltd.
ACE REDPOINT VENTURES CHINA I,L.P.
MTK
Baidu
Ingenic Semiconductor Co.,Ltd.
Beijing ESWIN Computing Technology Co.,Ltd.
DanXi Technology
Luminwave
Zbit Semi
BllueX.Microelectronics
Bcuffalo Lab
Lclegend Micro
Chipways
ASR Microelectronics
Southchip
Enflame
Hangzhou NationalChip AI Company
Bitmain Technologies
YITU Technology
Black Sesame Technologies
Vimicro
Taifang Tech
Bywave Sensing
Zvision
GXCAS
Alpsentek
Segment by Type
Cloud-based Chip Design
On-premise Chip Design
Segment by Application
Consumer Electronics
Automotive Electronics
Robot
IoT
Big Data and Cloud Computing
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, 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: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI Chip Design companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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 capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
The global AI Chip Design market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for AI Chip Design is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for AI Chip Design is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for AI Chip Design in Consumer Electronics is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of AI Chip Design include Intel, Nvidia, Samsung, AMD, Canaan Inc., Google, Huawei Hisilicon, Cambricon and Beijing Horizon Robotics Technology R&D Co., Ltd., etc. In 2022, 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 AI Chip Design, 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 AI Chip Design.
The AI Chip Design market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global AI Chip Design 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 AI Chip Design companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Intel
Nvidia
Samsung
AMD
Canaan Inc.
Huawei Hisilicon
Cambricon
Beijing Horizon Robotics Technology R&D Co., Ltd.
ACE REDPOINT VENTURES CHINA I,L.P.
MTK
Baidu
Ingenic Semiconductor Co.,Ltd.
Beijing ESWIN Computing Technology Co.,Ltd.
DanXi Technology
Luminwave
Zbit Semi
BllueX.Microelectronics
Bcuffalo Lab
Lclegend Micro
Chipways
ASR Microelectronics
Southchip
Enflame
Hangzhou NationalChip AI Company
Bitmain Technologies
YITU Technology
Black Sesame Technologies
Vimicro
Taifang Tech
Bywave Sensing
Zvision
GXCAS
Alpsentek
Segment by Type
Cloud-based Chip Design
On-premise Chip Design
Segment by Application
Consumer Electronics
Automotive Electronics
Robot
IoT
Big Data and Cloud Computing
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, 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: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI Chip Design companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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 capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
- By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
