Deep Learning Chipset Market

Deep learning technology is driving the evolution of artificial intelligence (AI) and has become one of the hottest topics of discussion within the technology world and beyond. Given the rate at which deep learning is progressing, some industry observers are predicting it will bring about a doomsday scenario, while others strive for a time when the technology can transform business processes and create new business models through scalable, more efficient automation and predictive capabilities. The current market climate is ripe for innovation in hardware in general, and chipsets more specifically.In the industry, NVIDIA profits most in 2016 and recent years, while Intel and IBM ranked 2 and 3.The market share of them is 26.72%, 20.57% and 12.56% in 2016.The gap of market share is keep on enlarged due to different strategy.
Deep Learning Chipset Market aims to provide a comprehensive presentation of the global market for Deep Learning Chipset, 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 Deep Learning Chipset. Deep Learning Chipset Market contains market size and forecasts of Deep Learning Chipset in global, including the following market information:
Global Deep Learning Chipset Market Revenue, 2018-2023, 2024-2029, ($ millions)
Global Deep Learning Chipset Market Sales, 2018-2023, 2024-2029, (K Units)
Global top five Deep Learning Chipset companies in 2022 (%)
The global Deep Learning Chipset market was valued at US$ 3322.4 million in 2022 and is projected to reach US$ 27870 million by 2029, at a CAGR of 35.5% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
NVIDIA, Intel and IBM are the leaders of the Deep Learning Chipset industry, which take about 50% market share. United States is the major region of the global market, which takes about 70% market share.
We surveyed the Deep Learning Chipset 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 Deep Learning Chipset Market, by Type, 2018-2023, 2024-2029 ($ Millions) & (K Units)
Global Deep Learning Chipset Market Segment Percentages, by Type, 2022 (%)
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Global Deep Learning Chipset Market, by Application, 2018-2023, 2024-2029 ($ Millions) & (K Units)
Global Deep Learning Chipset Market Segment Percentages, by Application, 2022 (%)
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
Global Deep Learning Chipset Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions) & (K Units)
Global Deep Learning Chipset 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 Deep Learning Chipset revenues in global market, 2018-2023 (Estimated), ($ millions)
Key companies Deep Learning Chipset revenues share in global market, 2022 (%)
Key companies Deep Learning Chipset sales in global market, 2018-2023 (Estimated), (K Units)
Key companies Deep Learning Chipset sales share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
Outline of Major Chapters:
Chapter 1: Introduces the definition of Deep Learning Chipset, market overview.
Chapter 2: Global Deep Learning Chipset market size in revenue and volume.
Chapter 3: Detailed analysis of Deep Learning Chipset 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 Deep Learning Chipset 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 Deep Learning Chipset 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.