Report overview
This report aims to provide a comprehensive presentation of the global market for Energy-efficient Artificial Intelligence Chip, 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 Energy-efficient Artificial Intelligence Chip. This report contains market size and forecasts of Energy-efficient Artificial Intelligence Chip in global, including the following market information:
Global Energy-efficient Artificial Intelligence Chip Market Revenue, 2018-2023, 2024-2032, ($ millions)
Global Energy-efficient Artificial Intelligence Chip Market Sales, 2018-2023, 2024-2032, (K Units)
Global top five Energy-efficient Artificial Intelligence Chip companies in 2022 (%)
The global Energy-efficient Artificial Intelligence Chip market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is Forecast to Reach $ Million.
GPU Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Energy-efficient Artificial Intelligence Chip include Nvidia, Intel, Xilinx, Samsung Electronics, Micron Technology, Qualcomm Technologies, IBM, Google and Microsoft, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Energy-efficient Artificial Intelligence Chip manufacturers, suppliers, distributors and industry experts on this industry, involving the sales, revenue, demand, price change, product type, recent development and plan, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Energy-efficient Artificial Intelligence Chip Market, by Type, 2018-2023, 2024-2032 ($ Millions) & (K Units)
Global Energy-efficient Artificial Intelligence Chip Market Segment Percentages, by Type, 2022 (%)
GPU
ASIC
FPGA
Neuron
Global Energy-efficient Artificial Intelligence Chip Market, by Application, 2018-2023, 2024-2032 ($ Millions) & (K Units)
Global Energy-efficient Artificial Intelligence Chip Market Segment Percentages, by Application, 2022 (%)
Industrials
Military
Public Safety
Medical
Others
Global Energy-efficient Artificial Intelligence Chip Market, By Region and Country, 2018-2023, 2024-2032 ($ Millions) & (K Units)
Global Energy-efficient Artificial Intelligence Chip Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Energy-efficient Artificial Intelligence Chip revenues in global market, 2018-2023 (Estimated), ($ millions)
Key companies Energy-efficient Artificial Intelligence Chip revenues share in global market, 2022 (%)
Key companies Energy-efficient Artificial Intelligence Chip sales in global market, 2018-2023 (Estimated), (K Units)
Key companies Energy-efficient Artificial Intelligence Chip sales share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Nvidia
Intel
Xilinx
Samsung Electronics
Micron Technology
Qualcomm Technologies
IBM
Google
Microsoft
Amazon Web Services (AWS)
AMD
General Vision
Graphcore
Mellanox Technologies
Huawei Technologies
Fujitsu
Wave Computing
Mythic
Adapteva
Koniku
Tenstorrent
Outline of Major Chapters:
Chapter 1: Introduces the definition of Energy-efficient Artificial Intelligence Chip, market overview.
Chapter 2: Global Energy-efficient Artificial Intelligence Chip market size in revenue and volume.
Chapter 3: Detailed analysis of Energy-efficient Artificial Intelligence Chip manufacturers competitive landscape, price, sales and 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: Sales of Energy-efficient Artificial Intelligence Chip 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 of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: Global Energy-efficient Artificial Intelligence Chip capacity by region & country.
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: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 11: The main points and conclusions of the report.
