The global Deep Learning Unit market is projected to grow from US$ million in 2023 to US$ million by 2029, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The US & Canada market for Deep Learning Unit 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 China market for Deep Learning Unit 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 Europe market for Deep Learning Unit 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 key manufacturers of Deep Learning Unit include Fujitsu, NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD and Xilinx, etc. In 2022, the global top five players had a share approximately % in terms of revenue.
In terms of production side, this report researches the Deep Learning Unit production, growth rate, market share by manufacturers and by region (region level and country level), from 2018 to 2023, and forecast to 2029.
In terms of consumption side, this report focuses on the sales of Deep Learning Unit by region (region level and country level), by company, by Type and by Application. from 2018 to 2023 and forecast to 2029.
Report Includes:
This report presents an overview of global market for Deep Learning Unit, capacity, output, revenue and price. Analyses of the global market trends, with historic market revenue/sales data for 2018 - 2022, estimates for 2023, and projections of CAGR through 2029.
This report researches the key producers of Deep Learning Unit, also provides the consumption of main regions and countries. Highlights of the upcoming market potential for Deep Learning Unit, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Deep Learning Unit sales, revenue, market share and industry ranking of main manufacturers, data from 2018 to 2023. Identification of the major stakeholders in the global Deep Learning Unit market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, sales, revenue, and price, from 2018 to 2029. Evaluation and forecast the market size for Deep Learning Unit sales, projected growth trends, production technology, application and end-user industry.
Descriptive company profiles of the major global players, including Fujitsu, NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD and Xilinx, etc.
By Company
Fujitsu
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
Segment by Type
GPU
CPU
ASIC
FPGA
Others
Segment by Application
Automotive
Consumer Electronics
Medical
Industrial
Military & Defense
Others
Production by Region
North America
Europe
China
Japan
South Korea
Sales by Region
US & Canada
U.S.
Canada
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Europe
Germany
France
U.K.
Italy
Russia
Middle East, Africa, Latin America
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type and 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: Deep Learning Unit production/output of global and key producers (regions/countries). It provides a quantitative analysis of the production and development potential of each producer in the next six years.
Chapter 3: Sales (consumption), revenue of Deep Learning Unit in global, 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 capacity of each country in the world.
Chapter 4: Detailed analysis of Deep Learning Unit manufacturers competitive landscape, price, sales, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the sales, revenue, average price, 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 sales, revenue, average price, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: North America (US & Canada) by type, by application and by country, sales and revenue for each segment.
Chapter 8: Europe by type, by application and by country, sales and revenue for each segment.
Chapter 9: China by type and by application sales and revenue for each segment.
Chapter 10: Asia (excluding China) by type, by application and by region, sales and revenue for each segment.
Chapter 11: Middle East, Africa, Latin America by type, by application and by country, sales and revenue for each segment.
Chapter 12: Provides profiles of key manufacturers, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Deep Learning Unit sales, revenue, price, gross margin, and recent development, etc.
Chapter 13: Analysis of industrial chain, sales channel, key raw materials, distributors and customers.
Chapter 14: 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 15: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Study Coverage
1.1 Deep Learning Unit Product Introduction
1.2 Market by Type
1.2.1 Global Deep Learning Unit Market Size by Type, 2018 VS 2022 VS 2029
1.2.2 GPU
1.2.3 CPU
1.2.4 ASIC
1.2.5 FPGA
1.2.6 Others
1.3 Market by Application
1.3.1 Global Deep Learning Unit Market Size by Application, 2018 VS 2022 VS 2029
1.3.2 Automotive
1.3.3 Consumer Electronics
1.3.4 Medical
1.3.5 Industrial
1.3.6 Military & Defense
1.3.7 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Deep Learning Unit Production
2.1 Global Deep Learning Unit Production Capacity (2018-2029)
2.2 Global Deep Learning Unit Production by Region: 2018 VS 2022 VS 2029
2.3 Global Deep Learning Unit Production by Region
2.3.1 Global Deep Learning Unit Historic Production by Region (2018-2023)
2.3.2 Global Deep Learning Unit Forecasted Production by Region (2024-2029)
2.3.3 Global Deep Learning Unit Production Market Share by Region (2018-2029)
2.4 North America
2.5 Europe
2.6 China
2.7 Japan
2.8 South Korea
3 Executive Summary
3.1 Global Deep Learning Unit Revenue Estimates and Forecasts 2018-2029
3.2 Global Deep Learning Unit Revenue by Region
3.2.1 Global Deep Learning Unit Revenue by Region: 2018 VS 2022 VS 2029
3.2.2 Global Deep Learning Unit Revenue by Region (2018-2023)
3.2.3 Global Deep Learning Unit Revenue by Region (2024-2029)
3.2.4 Global Deep Learning Unit Revenue Market Share by Region (2018-2029)
3.3 Global Deep Learning Unit Sales Estimates and Forecasts 2018-2029
3.4 Global Deep Learning Unit Sales by Region
3.4.1 Global Deep Learning Unit Sales by Region: 2018 VS 2022 VS 2029
3.4.2 Global Deep Learning Unit Sales by Region (2018-2023)
3.4.3 Global Deep Learning Unit Sales by Region (2024-2029)
3.4.4 Global Deep Learning Unit Sales Market Share by Region (2018-2029)
3.5 US & Canada
3.6 Europe
3.7 China
3.8 Asia (excluding China)
3.9 Middle East, Africa and Latin America
4 Competition by Manufactures
4.1 Global Deep Learning Unit Sales by Manufacturers
4.1.1 Global Deep Learning Unit Sales by Manufacturers (2018-2023)
4.1.2 Global Deep Learning Unit Sales Market Share by Manufacturers (2018-2023)
4.1.3 Global Top 10 and Top 5 Largest Manufacturers of Deep Learning Unit in 2022
4.2 Global Deep Learning Unit Revenue by Manufacturers
4.2.1 Global Deep Learning Unit Revenue by Manufacturers (2018-2023)
4.2.2 Global Deep Learning Unit Revenue Market Share by Manufacturers (2018-2023)
4.2.3 Global Top 10 and Top 5 Companies by Deep Learning Unit Revenue in 2022
4.3 Global Deep Learning Unit Sales Price by Manufacturers
4.4 Global Key Players of Deep Learning Unit, Industry Ranking, 2021 VS 2022 VS 2023
4.5 Analysis of Competitive Landscape
4.5.1 Manufacturers Market Concentration Ratio (CR5 and HHI)
4.5.2 Global Deep Learning Unit Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
4.6 Global Key Manufacturers of Deep Learning Unit, Manufacturing Base Distribution and Headquarters
4.7 Global Key Manufacturers of Deep Learning Unit, Product Offered and Application
4.8 Global Key Manufacturers of Deep Learning Unit, Date of Enter into This Industry
4.9 Mergers & Acquisitions, Expansion Plans
5 Market Size by Type
5.1 Global Deep Learning Unit Sales by Type
5.1.1 Global Deep Learning Unit Historical Sales by Type (2018-2023)
5.1.2 Global Deep Learning Unit Forecasted Sales by Type (2024-2029)
5.1.3 Global Deep Learning Unit Sales Market Share by Type (2018-2029)
5.2 Global Deep Learning Unit Revenue by Type
5.2.1 Global Deep Learning Unit Historical Revenue by Type (2018-2023)
5.2.2 Global Deep Learning Unit Forecasted Revenue by Type (2024-2029)
5.2.3 Global Deep Learning Unit Revenue Market Share by Type (2018-2029)
5.3 Global Deep Learning Unit Price by Type
5.3.1 Global Deep Learning Unit Price by Type (2018-2023)
5.3.2 Global Deep Learning Unit Price Forecast by Type (2024-2029)
6 Market Size by Application
6.1 Global Deep Learning Unit Sales by Application
6.1.1 Global Deep Learning Unit Historical Sales by Application (2018-2023)
6.1.2 Global Deep Learning Unit Forecasted Sales by Application (2024-2029)
6.1.3 Global Deep Learning Unit Sales Market Share by Application (2018-2029)
6.2 Global Deep Learning Unit Revenue by Application
6.2.1 Global Deep Learning Unit Historical Revenue by Application (2018-2023)
6.2.2 Global Deep Learning Unit Forecasted Revenue by Application (2024-2029)
6.2.3 Global Deep Learning Unit Revenue Market Share by Application (2018-2029)
6.3 Global Deep Learning Unit Price by Application
6.3.1 Global Deep Learning Unit Price by Application (2018-2023)
6.3.2 Global Deep Learning Unit Price Forecast by Application (2024-2029)
7 US & Canada
7.1 US & Canada Deep Learning Unit Market Size by Type
7.1.1 US & Canada Deep Learning Unit Sales by Type (2018-2029)
7.1.2 US & Canada Deep Learning Unit Revenue by Type (2018-2029)
7.2 US & Canada Deep Learning Unit Market Size by Application
7.2.1 US & Canada Deep Learning Unit Sales by Application (2018-2029)
7.2.2 US & Canada Deep Learning Unit Revenue by Application (2018-2029)
7.3 US & Canada Deep Learning Unit Sales by Country
7.3.1 US & Canada Deep Learning Unit Revenue by Country: 2018 VS 2022 VS 2029
7.3.2 US & Canada Deep Learning Unit Sales by Country (2018-2029)
7.3.3 US & Canada Deep Learning Unit Revenue by Country (2018-2029)
7.3.4 United States
7.3.5 Canada
8 Europe
8.1 Europe Deep Learning Unit Market Size by Type
8.1.1 Europe Deep Learning Unit Sales by Type (2018-2029)
8.1.2 Europe Deep Learning Unit Revenue by Type (2018-2029)
8.2 Europe Deep Learning Unit Market Size by Application
8.2.1 Europe Deep Learning Unit Sales by Application (2018-2029)
8.2.2 Europe Deep Learning Unit Revenue by Application (2018-2029)
8.3 Europe Deep Learning Unit Sales by Country
8.3.1 Europe Deep Learning Unit Revenue by Country: 2018 VS 2022 VS 2029
8.3.2 Europe Deep Learning Unit Sales by Country (2018-2029)
8.3.3 Europe Deep Learning Unit Revenue by Country (2018-2029)
8.3.4 Germany
8.3.5 France
8.3.6 U.K.
8.3.7 Italy
8.3.8 Russia
9 China
9.1 China Deep Learning Unit Market Size by Type
9.1.1 China Deep Learning Unit Sales by Type (2018-2029)
9.1.2 China Deep Learning Unit Revenue by Type (2018-2029)
9.2 China Deep Learning Unit Market Size by Application
9.2.1 China Deep Learning Unit Sales by Application (2018-2029)
9.2.2 China Deep Learning Unit Revenue by Application (2018-2029)
10 Asia (excluding China)
10.1 Asia Deep Learning Unit Market Size by Type
10.1.1 Asia Deep Learning Unit Sales by Type (2018-2029)
10.1.2 Asia Deep Learning Unit Revenue by Type (2018-2029)
10.2 Asia Deep Learning Unit Market Size by Application
10.2.1 Asia Deep Learning Unit Sales by Application (2018-2029)
10.2.2 Asia Deep Learning Unit Revenue by Application (2018-2029)
10.3 Asia Deep Learning Unit Sales by Region
10.3.1 Asia Deep Learning Unit Revenue by Region: 2018 VS 2022 VS 2029
10.3.2 Asia Deep Learning Unit Revenue by Region (2018-2029)
10.3.3 Asia Deep Learning Unit Sales by Region (2018-2029)
10.3.4 Japan
10.3.5 South Korea
10.3.6 China Taiwan
10.3.7 Southeast Asia
10.3.8 India
11 Middle East, Africa and Latin America
11.1 Middle East, Africa and Latin America Deep Learning Unit Market Size by Type
11.1.1 Middle East, Africa and Latin America Deep Learning Unit Sales by Type (2018-2029)
11.1.2 Middle East, Africa and Latin America Deep Learning Unit Revenue by Type (2018-2029)
11.2 Middle East, Africa and Latin America Deep Learning Unit Market Size by Application
11.2.1 Middle East, Africa and Latin America Deep Learning Unit Sales by Application (2018-2029)
11.2.2 Middle East, Africa and Latin America Deep Learning Unit Revenue by Application (2018-2029)
11.3 Middle East, Africa and Latin America Deep Learning Unit Sales by Country
11.3.1 Middle East, Africa and Latin America Deep Learning Unit Revenue by Country: 2018 VS 2022 VS 2029
11.3.2 Middle East, Africa and Latin America Deep Learning Unit Revenue by Country (2018-2029)
11.3.3 Middle East, Africa and Latin America Deep Learning Unit Sales by Country (2018-2029)
11.3.4 Brazil
11.3.5 Mexico
11.3.6 Turkey
11.3.7 Israel
11.3.8 GCC Countries
12 Corporate Profiles
12.1 Fujitsu
12.1.1 Fujitsu Company Information
12.1.2 Fujitsu Overview
12.1.3 Fujitsu Deep Learning Unit Sales, Price, Revenue and Gross Margin (2018-2023)
12.1.4 Fujitsu Deep Learning Unit Product Model Numbers, Pictures, Descriptions and Specifications
12.1.5 Fujitsu Recent Developments
12.2 NVIDIA
12.2.1 NVIDIA Company Information
12.2.2 NVIDIA Overview
12.2.3 NVIDIA Deep Learning Unit Sales, Price, Revenue and Gross Margin (2018-2023)
12.2.4 NVIDIA Deep Learning Unit Product Model Numbers, Pictures, Descriptions and Specifications
12.2.5 NVIDIA Recent Developments
12.3 Intel
12.3.1 Intel Company Information
12.3.2 Intel Overview
12.3.3 Intel Deep Learning Unit Sales, Price, Revenue and Gross Margin (2018-2023)
12.3.4 Intel Deep Learning Unit Product Model Numbers, Pictures, Descriptions and Specifications
12.3.5 Intel Recent Developments
12.4 IBM
12.4.1 IBM Company Information
12.4.2 IBM Overview
12.4.3 IBM Deep Learning Unit Sales, Price, Revenue and Gross Margin (2018-2023)
12.4.4 IBM Deep Learning Unit Product Model Numbers, Pictures, Descriptions and Specifications
12.4.5 IBM Recent Developments
12.5 Qualcomm
12.5.1 Qualcomm Company Information
12.5.2 Qualcomm Overview
12.5.3 Qualcomm Deep Learning Unit Sales, Price, Revenue and Gross Margin (2018-2023)
12.5.4 Qualcomm Deep Learning Unit Product Model Numbers, Pictures, Descriptions and Specifications
12.5.5 Qualcomm Recent Developments
12.6 CEVA
12.6.1 CEVA Company Information
12.6.2 CEVA Overview
12.6.3 CEVA Deep Learning Unit Sales, Price, Revenue and Gross Margin (2018-2023)
12.6.4 CEVA Deep Learning Unit Product Model Numbers, Pictures, Descriptions and Specifications
12.6.5 CEVA Recent Developments
12.7 KnuEdge
12.7.1 KnuEdge Company Information
12.7.2 KnuEdge Overview
12.7.3 KnuEdge Deep Learning Unit Sales, Price, Revenue and Gross Margin (2018-2023)
12.7.4 KnuEdge Deep Learning Unit Product Model Numbers, Pictures, Descriptions and Specifications
12.7.5 KnuEdge Recent Developments
12.8 AMD
12.8.1 AMD Company Information
12.8.2 AMD Overview
12.8.3 AMD Deep Learning Unit Sales, Price, Revenue and Gross Margin (2018-2023)
12.8.4 AMD Deep Learning Unit Product Model Numbers, Pictures, Descriptions and Specifications
12.8.5 AMD Recent Developments
12.9 Xilinx
12.9.1 Xilinx Company Information
12.9.2 Xilinx Overview
12.9.3 Xilinx Deep Learning Unit Sales, Price, Revenue and Gross Margin (2018-2023)
12.9.4 Xilinx Deep Learning Unit Product Model Numbers, Pictures, Descriptions and Specifications
12.9.5 Xilinx Recent Developments
12.10 Google
12.10.1 Google Company Information
12.10.2 Google Overview
12.10.3 Google Deep Learning Unit Sales, Price, Revenue and Gross Margin (2018-2023)
12.10.4 Google Deep Learning Unit Product Model Numbers, Pictures, Descriptions and Specifications
12.10.5 Google Recent Developments
12.11 Graphcore
12.11.1 Graphcore Company Information
12.11.2 Graphcore Overview
12.11.3 Graphcore Deep Learning Unit Sales, Price, Revenue and Gross Margin (2018-2023)
12.11.4 Graphcore Deep Learning Unit Product Model Numbers, Pictures, Descriptions and Specifications
12.11.5 Graphcore Recent Developments
12.12 TeraDeep
12.12.1 TeraDeep Company Information
12.12.2 TeraDeep Overview
12.12.3 TeraDeep Deep Learning Unit Sales, Price, Revenue and Gross Margin (2018-2023)
12.12.4 TeraDeep Deep Learning Unit Product Model Numbers, Pictures, Descriptions and Specifications
12.12.5 TeraDeep Recent Developments
12.13 Wave Computing
12.13.1 Wave Computing Company Information
12.13.2 Wave Computing Overview
12.13.3 Wave Computing Deep Learning Unit Sales, Price, Revenue and Gross Margin (2018-2023)
12.13.4 Wave Computing Deep Learning Unit Product Model Numbers, Pictures, Descriptions and Specifications
12.13.5 Wave Computing Recent Developments
12.14 BrainChip
12.14.1 BrainChip Company Information
12.14.2 BrainChip Overview
12.14.3 BrainChip Deep Learning Unit Sales, Price, Revenue and Gross Margin (2018-2023)
12.14.4 BrainChip Deep Learning Unit Product Model Numbers, Pictures, Descriptions and Specifications
12.14.5 BrainChip Recent Developments
13 Industry Chain and Sales Channels Analysis
13.1 Deep Learning Unit Industry Chain Analysis
13.2 Deep Learning Unit Key Raw Materials
13.2.1 Key Raw Materials
13.2.2 Raw Materials Key Suppliers
13.3 Deep Learning Unit Production Mode & Process
13.4 Deep Learning Unit Sales and Marketing
13.4.1 Deep Learning Unit Sales Channels
13.4.2 Deep Learning Unit Distributors
13.5 Deep Learning Unit Customers
14 Deep Learning Unit Market Dynamics
14.1 Deep Learning Unit Industry Trends
14.2 Deep Learning Unit Market Drivers
14.3 Deep Learning Unit Market Challenges
14.4 Deep Learning Unit Market Restraints
15 Key Finding in The Global Deep Learning Unit Study
16 Appendix
16.1 Research Methodology
16.1.1 Methodology/Research Approach
16.1.2 Data Source
16.2 Author Details
16.3 Disclaimer
Fujitsu
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
听
听
*If Applicable.
