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.
The global Deep Learning Chip market was valued at US$ 3228.9 million in 2022 and is anticipated to reach US$ 4128.9 million by 2029, witnessing a CAGR of 3.5% during the forecast period 2023-2029. 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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Deep Learning 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 Deep Learning Chip.
The Deep Learning Chip market size, estimations, and forecasts are provided in terms of output/shipments (K Pcs) 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 Deep Learning Chip 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 Deep Learning Chip 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.
By Company
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
Segment by Type
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Segment by Application
Consumer Electronics
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
Production by Region
North America
Europe
China
Japan
Southeast Asia
India
Central & South America
Consumption by Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Core Chapters
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 Deep Learning Chip manufacturers competitive landscape, price, production and value market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Production/output, value of Deep Learning Chip 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 Deep Learning 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, 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 key 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.
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1 Deep Learning Chip Market Overview
1.1 Product Definition
1.2 Deep Learning Chip Segment by Type
1.2.1 Global Deep Learning Chip Market Value Growth Rate Analysis by Type 2022 VS 2029
1.2.2 Graphics Processing Units (GPUs)
1.2.3 Central Processing Units (CPUs)
1.2.4 Application Specific Integrated Circuits (ASICs)
1.2.5 Field Programmable Gate Arrays (FPGAs)
1.2.6 Others
1.3 Deep Learning Chip Segment by Application
1.3.1 Global Deep Learning Chip Market Value Growth Rate Analysis by Application: 2022 VS 2029
1.3.2 Consumer Electronics
1.3.3 Aerospace, Military & Defense
1.3.4 Automotive
1.3.5 Industrial
1.3.6 Medical
1.3.7 Others
1.4 Global Market Growth Prospects
1.4.1 Global Deep Learning Chip Production Value Estimates and Forecasts (2018-2029)
1.4.2 Global Deep Learning Chip Production Capacity Estimates and Forecasts (2018-2029)
1.4.3 Global Deep Learning Chip Production Estimates and Forecasts (2018-2029)
1.4.4 Global Deep Learning Chip Market Average Price Estimates and Forecasts (2018-2029)
1.5 Assumptions and Limitations
2 Market Competition by Manufacturers
2.1 Global Deep Learning Chip Production Market Share by Manufacturers (2018-2023)
2.2 Global Deep Learning Chip Production Value Market Share by Manufacturers (2018-2023)
2.3 Global Key Players of Deep Learning Chip, Industry Ranking, 2021 VS 2022 VS 2023
2.4 Global Deep Learning Chip Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.5 Global Deep Learning Chip Average Price by Manufacturers (2018-2023)
2.6 Global Key Manufacturers of Deep Learning Chip, Manufacturing Base Distribution and Headquarters
2.7 Global Key Manufacturers of Deep Learning Chip, Product Offered and Application
2.8 Global Key Manufacturers of Deep Learning Chip, Date of Enter into This Industry
2.9 Deep Learning Chip Market Competitive Situation and Trends
2.9.1 Deep Learning Chip Market Concentration Rate
2.9.2 Global 5 and 10 Largest Deep Learning Chip Players Market Share by Revenue
2.10 Mergers & Acquisitions, Expansion
3 Deep Learning Chip Production by Region
3.1 Global Deep Learning Chip Production Value Estimates and Forecasts by Region: 2018 VS 2022 VS 2029
3.2 Global Deep Learning Chip Production Value by Region (2018-2029)
3.2.1 Global Deep Learning Chip Production Value Market Share by Region (2018-2023)
3.2.2 Global Forecasted Production Value of Deep Learning Chip by Region (2024-2029)
3.3 Global Deep Learning Chip Production Estimates and Forecasts by Region: 2018 VS 2022 VS 2029
3.4 Global Deep Learning Chip Production by Region (2018-2029)
3.4.1 Global Deep Learning Chip Production Market Share by Region (2018-2023)
3.4.2 Global Forecasted Production of Deep Learning Chip by Region (2024-2029)
3.5 Global Deep Learning Chip Market Price Analysis by Region (2018-2023)
3.6 Global Deep Learning Chip Production and Value, Year-over-Year Growth
3.6.1 North America Deep Learning Chip Production Value Estimates and Forecasts (2018-2029)
3.6.2 Europe Deep Learning Chip Production Value Estimates and Forecasts (2018-2029)
3.6.3 China Deep Learning Chip Production Value Estimates and Forecasts (2018-2029)
3.6.4 Japan Deep Learning Chip Production Value Estimates and Forecasts (2018-2029)
3.6.5 Southeast Asia Deep Learning Chip Production Value Estimates and Forecasts (2018-2029)
3.6.6 India Deep Learning Chip Production Value Estimates and Forecasts (2018-2029)
3.6.7 Central & South America Deep Learning Chip Production Value Estimates and Forecasts (2018-2029)
4 Deep Learning Chip Consumption by Region
4.1 Global Deep Learning Chip Consumption Estimates and Forecasts by Region: 2018 VS 2022 VS 2029
4.2 Global Deep Learning Chip Consumption by Region (2018-2029)
4.2.1 Global Deep Learning Chip Consumption by Region (2018-2023)
4.2.2 Global Deep Learning Chip Forecasted Consumption by Region (2024-2029)
4.3 North America
4.3.1 North America Deep Learning Chip Consumption Growth Rate by Country: 2018 VS 2022 VS 2029
4.3.2 North America Deep Learning Chip Consumption by Country (2018-2029)
4.3.3 U.S.
4.3.4 Canada
4.4 Europe
4.4.1 Europe Deep Learning Chip Consumption Growth Rate by Country: 2018 VS 2022 VS 2029
4.4.2 Europe Deep Learning Chip Consumption by Country (2018-2029)
4.4.3 Germany
4.4.4 France
4.4.5 U.K.
4.4.6 Italy
4.4.7 Russia
4.5 Asia Pacific
4.5.1 Asia Pacific Deep Learning Chip Consumption Growth Rate by Region: 2018 VS 2022 VS 2029
4.5.2 Asia Pacific Deep Learning Chip Consumption by Region (2018-2029)
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 Deep Learning Chip Consumption Growth Rate by Country: 2018 VS 2022 VS 2029
4.6.2 Latin America, Middle East & Africa Deep Learning Chip Consumption by Country (2018-2029)
4.6.3 Mexico
4.6.4 Brazil
4.6.5 Turkey
5 Segment by Type
5.1 Global Deep Learning Chip Production by Type (2018-2029)
5.1.1 Global Deep Learning Chip Production by Type (2018-2023)
5.1.2 Global Deep Learning Chip Production by Type (2024-2029)
5.1.3 Global Deep Learning Chip Production Market Share by Type (2018-2029)
5.2 Global Deep Learning Chip Production Value by Type (2018-2029)
5.2.1 Global Deep Learning Chip Production Value by Type (2018-2023)
5.2.2 Global Deep Learning Chip Production Value by Type (2024-2029)
5.2.3 Global Deep Learning Chip Production Value Market Share by Type (2018-2029)
5.3 Global Deep Learning Chip Price by Type (2018-2029)
6 Segment by Application
6.1 Global Deep Learning Chip Production by Application (2018-2029)
6.1.1 Global Deep Learning Chip Production by Application (2018-2023)
6.1.2 Global Deep Learning Chip Production by Application (2024-2029)
6.1.3 Global Deep Learning Chip Production Market Share by Application (2018-2029)
6.2 Global Deep Learning Chip Production Value by Application (2018-2029)
6.2.1 Global Deep Learning Chip Production Value by Application (2018-2023)
6.2.2 Global Deep Learning Chip Production Value by Application (2024-2029)
6.2.3 Global Deep Learning Chip Production Value Market Share by Application (2018-2029)
6.3 Global Deep Learning Chip Price by Application (2018-2029)
7 Key Companies Profiled
7.1 NVIDIA
7.1.1 NVIDIA Deep Learning Chip Corporation Information
7.1.2 NVIDIA Deep Learning Chip Product Portfolio
7.1.3 NVIDIA Deep Learning Chip Production, Value, Price and Gross Margin (2018-2023)
7.1.4 NVIDIA Main Business and Markets Served
7.1.5 NVIDIA Recent Developments/Updates
7.2 Intel
7.2.1 Intel Deep Learning Chip Corporation Information
7.2.2 Intel Deep Learning Chip Product Portfolio
7.2.3 Intel Deep Learning Chip Production, Value, Price and Gross Margin (2018-2023)
7.2.4 Intel Main Business and Markets Served
7.2.5 Intel Recent Developments/Updates
7.3 IBM
7.3.1 IBM Deep Learning Chip Corporation Information
7.3.2 IBM Deep Learning Chip Product Portfolio
7.3.3 IBM Deep Learning Chip Production, Value, Price and Gross Margin (2018-2023)
7.3.4 IBM Main Business and Markets Served
7.3.5 IBM Recent Developments/Updates
7.4 Qualcomm
7.4.1 Qualcomm Deep Learning Chip Corporation Information
7.4.2 Qualcomm Deep Learning Chip Product Portfolio
7.4.3 Qualcomm Deep Learning Chip Production, Value, Price and Gross Margin (2018-2023)
7.4.4 Qualcomm Main Business and Markets Served
7.4.5 Qualcomm Recent Developments/Updates
7.5 CEVA
7.5.1 CEVA Deep Learning Chip Corporation Information
7.5.2 CEVA Deep Learning Chip Product Portfolio
7.5.3 CEVA Deep Learning Chip Production, Value, Price and Gross Margin (2018-2023)
7.5.4 CEVA Main Business and Markets Served
7.5.5 CEVA Recent Developments/Updates
7.6 KnuEdge
7.6.1 KnuEdge Deep Learning Chip Corporation Information
7.6.2 KnuEdge Deep Learning Chip Product Portfolio
7.6.3 KnuEdge Deep Learning Chip Production, Value, Price and Gross Margin (2018-2023)
7.6.4 KnuEdge Main Business and Markets Served
7.6.5 KnuEdge Recent Developments/Updates
7.7 AMD
7.7.1 AMD Deep Learning Chip Corporation Information
7.7.2 AMD Deep Learning Chip Product Portfolio
7.7.3 AMD Deep Learning Chip Production, Value, Price and Gross Margin (2018-2023)
7.7.4 AMD Main Business and Markets Served
7.7.5 AMD Recent Developments/Updates
7.8 Xilinx
7.8.1 Xilinx Deep Learning Chip Corporation Information
7.8.2 Xilinx Deep Learning Chip Product Portfolio
7.8.3 Xilinx Deep Learning Chip Production, Value, Price and Gross Margin (2018-2023)
7.8.4 Xilinx Main Business and Markets Served
7.7.5 Xilinx Recent Developments/Updates
7.9 ARM
7.9.1 ARM Deep Learning Chip Corporation Information
7.9.2 ARM Deep Learning Chip Product Portfolio
7.9.3 ARM Deep Learning Chip Production, Value, Price and Gross Margin (2018-2023)
7.9.4 ARM Main Business and Markets Served
7.9.5 ARM Recent Developments/Updates
7.10 Google
7.10.1 Google Deep Learning Chip Corporation Information
7.10.2 Google Deep Learning Chip Product Portfolio
7.10.3 Google Deep Learning Chip Production, Value, Price and Gross Margin (2018-2023)
7.10.4 Google Main Business and Markets Served
7.10.5 Google Recent Developments/Updates
7.11 Graphcore
7.11.1 Graphcore Deep Learning Chip Corporation Information
7.11.2 Graphcore Deep Learning Chip Product Portfolio
7.11.3 Graphcore Deep Learning Chip Production, Value, Price and Gross Margin (2018-2023)
7.11.4 Graphcore Main Business and Markets Served
7.11.5 Graphcore Recent Developments/Updates
7.12 TeraDeep
7.12.1 TeraDeep Deep Learning Chip Corporation Information
7.12.2 TeraDeep Deep Learning Chip Product Portfolio
7.12.3 TeraDeep Deep Learning Chip Production, Value, Price and Gross Margin (2018-2023)
7.12.4 TeraDeep Main Business and Markets Served
7.12.5 TeraDeep Recent Developments/Updates
7.13 Wave Computing
7.13.1 Wave Computing Deep Learning Chip Corporation Information
7.13.2 Wave Computing Deep Learning Chip Product Portfolio
7.13.3 Wave Computing Deep Learning Chip Production, Value, Price and Gross Margin (2018-2023)
7.13.4 Wave Computing Main Business and Markets Served
7.13.5 Wave Computing Recent Developments/Updates
7.14 BrainChip
7.14.1 BrainChip Deep Learning Chip Corporation Information
7.14.2 BrainChip Deep Learning Chip Product Portfolio
7.14.3 BrainChip Deep Learning Chip Production, Value, Price and Gross Margin (2018-2023)
7.14.4 BrainChip Main Business and Markets Served
7.14.5 BrainChip Recent Developments/Updates
8 Industry Chain and Sales Channels Analysis
8.1 Deep Learning Chip Industry Chain Analysis
8.2 Deep Learning Chip Key Raw Materials
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.3 Deep Learning Chip Production Mode & Process
8.4 Deep Learning Chip Sales and Marketing
8.4.1 Deep Learning Chip Sales Channels
8.4.2 Deep Learning Chip Distributors
8.5 Deep Learning Chip Customers
9 Deep Learning Chip Market Dynamics
9.1 Deep Learning Chip Industry Trends
9.2 Deep Learning Chip Market Drivers
9.3 Deep Learning Chip Market Challenges
9.4 Deep Learning Chip Market Restraints
10 Research Finding 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
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
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*If Applicable.
