Global Deep Learning Chipset Market Research Report 2023

This report 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.
The Deep Learning Chipset market size, estimations, and forecasts are provided in terms of output/shipments (K Units) 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 Chipset 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 Chipset 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
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
Production by Region
North America
Europe
China
Australia
Israel
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 Chipset 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 Chipset 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 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, 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.

1 Deep Learning Chipset Market Overview
1.1 Product Definition
1.2 Deep Learning Chipset Segment by Type
1.2.1 Global Deep Learning Chipset 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 Chipset Segment by Application
1.3.1 Global Deep Learning Chipset Market Value Growth Rate Analysis by Application: 2022 VS 2029
1.3.2 Consumer
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 Chipset Production Value Estimates and Forecasts (2018-2029)
1.4.2 Global Deep Learning Chipset Production Capacity Estimates and Forecasts (2018-2029)
1.4.3 Global Deep Learning Chipset Production Estimates and Forecasts (2018-2029)
1.4.4 Global Deep Learning Chipset Market Average Price Estimates and Forecasts (2018-2029)
1.5 Assumptions and Limitations
2 Market Competition by Manufacturers
2.1 Global Deep Learning Chipset Production Market Share by Manufacturers (2018-2023)
2.2 Global Deep Learning Chipset Production Value Market Share by Manufacturers (2018-2023)
2.3 Global Key Players of Deep Learning Chipset, Industry Ranking, 2021 VS 2022 VS 2023
2.4 Global Deep Learning Chipset Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.5 Global Deep Learning Chipset Average Price by Manufacturers (2018-2023)
2.6 Global Key Manufacturers of Deep Learning Chipset, Manufacturing Base Distribution and Headquarters
2.7 Global Key Manufacturers of Deep Learning Chipset, Product Offered and Application
2.8 Global Key Manufacturers of Deep Learning Chipset, Date of Enter into This Industry
2.9 Deep Learning Chipset Market Competitive Situation and Trends
2.9.1 Deep Learning Chipset Market Concentration Rate
2.9.2 Global 5 and 10 Largest Deep Learning Chipset Players Market Share by Revenue
2.10 Mergers & Acquisitions, Expansion
3 Deep Learning Chipset Production by Region
3.1 Global Deep Learning Chipset Production Value Estimates and Forecasts by Region: 2018 VS 2022 VS 2029
3.2 Global Deep Learning Chipset Production Value by Region (2018-2029)
3.2.1 Global Deep Learning Chipset Production Value Market Share by Region (2018-2023)
3.2.2 Global Forecasted Production Value of Deep Learning Chipset by Region (2024-2029)
3.3 Global Deep Learning Chipset Production Estimates and Forecasts by Region: 2018 VS 2022 VS 2029
3.4 Global Deep Learning Chipset Production by Region (2018-2029)
3.4.1 Global Deep Learning Chipset Production Market Share by Region (2018-2023)
3.4.2 Global Forecasted Production of Deep Learning Chipset by Region (2024-2029)
3.5 Global Deep Learning Chipset Market Price Analysis by Region (2018-2023)
3.6 Global Deep Learning Chipset Production and Value, Year-over-Year Growth
3.6.1 North America Deep Learning Chipset Production Value Estimates and Forecasts (2018-2029)
3.6.2 Europe Deep Learning Chipset Production Value Estimates and Forecasts (2018-2029)
3.6.3 China Deep Learning Chipset Production Value Estimates and Forecasts (2018-2029)
3.6.4 Australia Deep Learning Chipset Production Value Estimates and Forecasts (2018-2029)
3.6.5 Israel Deep Learning Chipset Production Value Estimates and Forecasts (2018-2029)
4 Deep Learning Chipset Consumption by Region
4.1 Global Deep Learning Chipset Consumption Estimates and Forecasts by Region: 2018 VS 2022 VS 2029
4.2 Global Deep Learning Chipset Consumption by Region (2018-2029)
4.2.1 Global Deep Learning Chipset Consumption by Region (2018-2023)
4.2.2 Global Deep Learning Chipset Forecasted Consumption by Region (2024-2029)
4.3 North America
4.3.1 North America Deep Learning Chipset Consumption Growth Rate by Country: 2018 VS 2022 VS 2029
4.3.2 North America Deep Learning Chipset Consumption by Country (2018-2029)
4.3.3 U.S.
4.3.4 Canada
4.4 Europe
4.4.1 Europe Deep Learning Chipset Consumption Growth Rate by Country: 2018 VS 2022 VS 2029
4.4.2 Europe Deep Learning Chipset 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 Chipset Consumption Growth Rate by Region: 2018 VS 2022 VS 2029
4.5.2 Asia Pacific Deep Learning Chipset 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 Chipset Consumption Growth Rate by Country: 2018 VS 2022 VS 2029
4.6.2 Latin America, Middle East & Africa Deep Learning Chipset 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 Chipset Production by Type (2018-2029)
5.1.1 Global Deep Learning Chipset Production by Type (2018-2023)
5.1.2 Global Deep Learning Chipset Production by Type (2024-2029)
5.1.3 Global Deep Learning Chipset Production Market Share by Type (2018-2029)
5.2 Global Deep Learning Chipset Production Value by Type (2018-2029)
5.2.1 Global Deep Learning Chipset Production Value by Type (2018-2023)
5.2.2 Global Deep Learning Chipset Production Value by Type (2024-2029)
5.2.3 Global Deep Learning Chipset Production Value Market Share by Type (2018-2029)
5.3 Global Deep Learning Chipset Price by Type (2018-2029)
6 Segment by Application
6.1 Global Deep Learning Chipset Production by Application (2018-2029)
6.1.1 Global Deep Learning Chipset Production by Application (2018-2023)
6.1.2 Global Deep Learning Chipset Production by Application (2024-2029)
6.1.3 Global Deep Learning Chipset Production Market Share by Application (2018-2029)
6.2 Global Deep Learning Chipset Production Value by Application (2018-2029)
6.2.1 Global Deep Learning Chipset Production Value by Application (2018-2023)
6.2.2 Global Deep Learning Chipset Production Value by Application (2024-2029)
6.2.3 Global Deep Learning Chipset Production Value Market Share by Application (2018-2029)
6.3 Global Deep Learning Chipset Price by Application (2018-2029)
7 Key Companies Profiled
7.1 NVIDIA
7.1.1 NVIDIA Deep Learning Chipset Corporation Information
7.1.2 NVIDIA Deep Learning Chipset Product Portfolio
7.1.3 NVIDIA Deep Learning Chipset 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 Chipset Corporation Information
7.2.2 Intel Deep Learning Chipset Product Portfolio
7.2.3 Intel Deep Learning Chipset 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 Chipset Corporation Information
7.3.2 IBM Deep Learning Chipset Product Portfolio
7.3.3 IBM Deep Learning Chipset 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 Chipset Corporation Information
7.4.2 Qualcomm Deep Learning Chipset Product Portfolio
7.4.3 Qualcomm Deep Learning Chipset 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 Chipset Corporation Information
7.5.2 CEVA Deep Learning Chipset Product Portfolio
7.5.3 CEVA Deep Learning Chipset 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 Chipset Corporation Information
7.6.2 KnuEdge Deep Learning Chipset Product Portfolio
7.6.3 KnuEdge Deep Learning Chipset 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 Chipset Corporation Information
7.7.2 AMD Deep Learning Chipset Product Portfolio
7.7.3 AMD Deep Learning Chipset 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 Chipset Corporation Information
7.8.2 Xilinx Deep Learning Chipset Product Portfolio
7.8.3 Xilinx Deep Learning Chipset 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 Chipset Corporation Information
7.9.2 ARM Deep Learning Chipset Product Portfolio
7.9.3 ARM Deep Learning Chipset 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 Chipset Corporation Information
7.10.2 Google Deep Learning Chipset Product Portfolio
7.10.3 Google Deep Learning Chipset 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 Chipset Corporation Information
7.11.2 Graphcore Deep Learning Chipset Product Portfolio
7.11.3 Graphcore Deep Learning Chipset 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 Chipset Corporation Information
7.12.2 TeraDeep Deep Learning Chipset Product Portfolio
7.12.3 TeraDeep Deep Learning Chipset 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 Chipset Corporation Information
7.13.2 Wave Computing Deep Learning Chipset Product Portfolio
7.13.3 Wave Computing Deep Learning Chipset 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 Chipset Corporation Information
7.14.2 BrainChip Deep Learning Chipset Product Portfolio
7.14.3 BrainChip Deep Learning Chipset 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 Chipset Industry Chain Analysis
8.2 Deep Learning Chipset Key Raw Materials
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.3 Deep Learning Chipset Production Mode & Process
8.4 Deep Learning Chipset Sales and Marketing
8.4.1 Deep Learning Chipset Sales Channels
8.4.2 Deep Learning Chipset Distributors
8.5 Deep Learning Chipset Customers
9 Deep Learning Chipset Market Dynamics
9.1 Deep Learning Chipset Industry Trends
9.2 Deep Learning Chipset Market Drivers
9.3 Deep Learning Chipset Market Challenges
9.4 Deep Learning Chipset 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

Research Methodology

SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING
The market engineering phase involves analysing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.