Global Deep-Learning Computing Unit (DCU) Market Research Report 2025

Publication ID:

PB501253322

Publication Date:

January 28, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Semiconductors [2]

Computing & Electronics [3]

Description:

The global market for Deep-Learning Computing Unit (DCU) was valued at US$ million in the year 2024 and is projected to reach a revised size of US$ million by 2031, growing at a CAGR of %during the forecast period.
North American market for Deep-Learning Computing Unit (DCU) is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for Deep-Learning Computing Unit (DCU) is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global manufacturers of Deep-Learning Computing Unit (DCU) include NVIDIA, AMD, Intel, Google, Xilinx, Hygon, Hisilicon, Cambricon Technologies, Iluvatar CoreX, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Deep-Learning Computing Unit (DCU), 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 Computing Unit (DCU).
The Deep-Learning Computing Unit (DCU) market size, estimations, and forecasts are provided in terms of output/shipments (K Units) and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Deep-Learning Computing Unit (DCU) 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 Computing Unit (DCU) 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.
Market Segmentation
By Company
NVIDIA
AMD
Intel
Google
Xilinx
Hygon
Hisilicon
Cambricon Technologies
Iluvatar CoreX
by Type
GPGPU
ASIC
FPGA
Others
by Application
Business Computing and Big Data Analytics
Artificial Intelligence
Others
Production by Region
North America
China
Consumption by Region
North America
U.S.
Canada
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Europe
Germany
France
U.K.
Italy
Russia
Rest of Europe
Latin America, Middle East & Africa
Mexico
Brazil
Turkey
GCC Countries
Chapter Outline
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 Computing Unit (DCU) 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 Computing Unit (DCU) 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 Computing Unit (DCU) 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 main 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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Table Of Contents:

1 Deep-Learning Computing Unit (DCU) Market Overview
1.1 Product Definition
1.2 Deep-Learning Computing Unit (DCU) by Type
1.2.1 Global Deep-Learning Computing Unit (DCU) Market Value Growth Rate Analysis by Type: 2024 VS 2031
1.2.2 GPGPU
1.2.3 ASIC
1.2.4 FPGA
1.2.5 Others
1.3 Deep-Learning Computing Unit (DCU) by Application
1.3.1 Global Deep-Learning Computing Unit (DCU) Market Value Growth Rate Analysis by Application: 2024 VS 2031
1.3.2 Business Computing and Big Data Analytics
1.3.3 Artificial Intelligence
1.3.4 Others
1.4 Global Market Growth Prospects
1.4.1 Global Deep-Learning Computing Unit (DCU) Production Value Estimates and Forecasts (2020-2031)
1.4.2 Global Deep-Learning Computing Unit (DCU) Production Capacity Estimates and Forecasts (2020-2031)
1.4.3 Global Deep-Learning Computing Unit (DCU) Production Estimates and Forecasts (2020-2031)
1.4.4 Global Deep-Learning Computing Unit (DCU) Market Average Price Estimates and Forecasts (2020-2031)
1.5 Assumptions and Limitations
2 Market Competition by Manufacturers
2.1 Global Deep-Learning Computing Unit (DCU) Production Market Share by Manufacturers (2020-2025)
2.2 Global Deep-Learning Computing Unit (DCU) Production Value Market Share by Manufacturers (2020-2025)
2.3 Global Key Players of Deep-Learning Computing Unit (DCU), Industry Ranking, 2023 VS 2024
2.4 Global Deep-Learning Computing Unit (DCU) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
2.5 Global Deep-Learning Computing Unit (DCU) Average Price by Manufacturers (2020-2025)
2.6 Global Key Manufacturers of Deep-Learning Computing Unit (DCU), Manufacturing Base Distribution and Headquarters
2.7 Global Key Manufacturers of Deep-Learning Computing Unit (DCU), Product Offered and Application
2.8 Global Key Manufacturers of Deep-Learning Computing Unit (DCU), Date of Enter into This Industry
2.9 Deep-Learning Computing Unit (DCU) Market Competitive Situation and Trends
2.9.1 Deep-Learning Computing Unit (DCU) Market Concentration Rate
2.9.2 Global 5 and 10 Largest Deep-Learning Computing Unit (DCU) Players Market Share by Revenue
2.10 Mergers & Acquisitions, Expansion
3 Deep-Learning Computing Unit (DCU) Production by Region
3.1 Global Deep-Learning Computing Unit (DCU) Production Value Estimates and Forecasts by Region: 2020 VS 2024 VS 2031
3.2 Global Deep-Learning Computing Unit (DCU) Production Value by Region (2020-2031)
3.2.1 Global Deep-Learning Computing Unit (DCU) Production Value by Region (2020-2025)
3.2.2 Global Forecasted Production Value of Deep-Learning Computing Unit (DCU) by Region (2026-2031)
3.3 Global Deep-Learning Computing Unit (DCU) Production Estimates and Forecasts by Region: 2020 VS 2024 VS 2031
3.4 Global Deep-Learning Computing Unit (DCU) Production Volume by Region (2020-2031)
3.4.1 Global Deep-Learning Computing Unit (DCU) Production by Region (2020-2025)
3.4.2 Global Forecasted Production of Deep-Learning Computing Unit (DCU) by Region (2026-2031)
3.5 Global Deep-Learning Computing Unit (DCU) Market Price Analysis by Region (2020-2025)
3.6 Global Deep-Learning Computing Unit (DCU) Production and Value, Year-over-Year Growth
3.6.1 North America Deep-Learning Computing Unit (DCU) Production Value Estimates and Forecasts (2020-2031)
3.6.2 China Deep-Learning Computing Unit (DCU) Production Value Estimates and Forecasts (2020-2031)
4 Deep-Learning Computing Unit (DCU) Consumption by Region
4.1 Global Deep-Learning Computing Unit (DCU) Consumption Estimates and Forecasts by Region: 2020 VS 2024 VS 2031
4.2 Global Deep-Learning Computing Unit (DCU) Consumption by Region (2020-2031)
4.2.1 Global Deep-Learning Computing Unit (DCU) Consumption by Region (2020-2025)
4.2.2 Global Deep-Learning Computing Unit (DCU) Forecasted Consumption by Region (2026-2031)
4.3 North America
4.3.1 North America Deep-Learning Computing Unit (DCU) Consumption Growth Rate by Country: 2020 VS 2024 VS 2031
4.3.2 North America Deep-Learning Computing Unit (DCU) Consumption by Country (2020-2031)
4.3.3 U.S.
4.3.4 Canada
4.4 Europe
4.4.1 Europe Deep-Learning Computing Unit (DCU) Consumption Growth Rate by Country: 2020 VS 2024 VS 2031
4.4.2 Europe Deep-Learning Computing Unit (DCU) Consumption by Country (2020-2031)
4.4.3 Germany
4.4.4 France
4.4.5 U.K.
4.4.6 Italy
4.4.7 Netherlands
4.5 Asia Pacific
4.5.1 Asia Pacific Deep-Learning Computing Unit (DCU) Consumption Growth Rate by Region: 2020 VS 2024 VS 2031
4.5.2 Asia Pacific Deep-Learning Computing Unit (DCU) Consumption by Region (2020-2031)
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 Computing Unit (DCU) Consumption Growth Rate by Country: 2020 VS 2024 VS 2031
4.6.2 Latin America, Middle East & Africa Deep-Learning Computing Unit (DCU) Consumption by Country (2020-2031)
4.6.3 Mexico
4.6.4 Brazil
4.6.5 Israel
5 Segment by Type
5.1 Global Deep-Learning Computing Unit (DCU) Production by Type (2020-2031)
5.1.1 Global Deep-Learning Computing Unit (DCU) Production by Type (2020-2025)
5.1.2 Global Deep-Learning Computing Unit (DCU) Production by Type (2026-2031)
5.1.3 Global Deep-Learning Computing Unit (DCU) Production Market Share by Type (2020-2031)
5.2 Global Deep-Learning Computing Unit (DCU) Production Value by Type (2020-2031)
5.2.1 Global Deep-Learning Computing Unit (DCU) Production Value by Type (2020-2025)
5.2.2 Global Deep-Learning Computing Unit (DCU) Production Value by Type (2026-2031)
5.2.3 Global Deep-Learning Computing Unit (DCU) Production Value Market Share by Type (2020-2031)
5.3 Global Deep-Learning Computing Unit (DCU) Price by Type (2020-2031)
6 Segment by Application
6.1 Global Deep-Learning Computing Unit (DCU) Production by Application (2020-2031)
6.1.1 Global Deep-Learning Computing Unit (DCU) Production by Application (2020-2025)
6.1.2 Global Deep-Learning Computing Unit (DCU) Production by Application (2026-2031)
6.1.3 Global Deep-Learning Computing Unit (DCU) Production Market Share by Application (2020-2031)
6.2 Global Deep-Learning Computing Unit (DCU) Production Value by Application (2020-2031)
6.2.1 Global Deep-Learning Computing Unit (DCU) Production Value by Application (2020-2025)
6.2.2 Global Deep-Learning Computing Unit (DCU) Production Value by Application (2026-2031)
6.2.3 Global Deep-Learning Computing Unit (DCU) Production Value Market Share by Application (2020-2031)
6.3 Global Deep-Learning Computing Unit (DCU) Price by Application (2020-2031)
7 Key Companies Profiled
7.1 NVIDIA
7.1.1 NVIDIA Deep-Learning Computing Unit (DCU) Company Information
7.1.2 NVIDIA Deep-Learning Computing Unit (DCU) Product Portfolio
7.1.3 NVIDIA Deep-Learning Computing Unit (DCU) Production, Value, Price and Gross Margin (2020-2025)
7.1.4 NVIDIA Main Business and Markets Served
7.1.5 NVIDIA Recent Developments/Updates
7.2 AMD
7.2.1 AMD Deep-Learning Computing Unit (DCU) Company Information
7.2.2 AMD Deep-Learning Computing Unit (DCU) Product Portfolio
7.2.3 AMD Deep-Learning Computing Unit (DCU) Production, Value, Price and Gross Margin (2020-2025)
7.2.4 AMD Main Business and Markets Served
7.2.5 AMD Recent Developments/Updates
7.3 Intel
7.3.1 Intel Deep-Learning Computing Unit (DCU) Company Information
7.3.2 Intel Deep-Learning Computing Unit (DCU) Product Portfolio
7.3.3 Intel Deep-Learning Computing Unit (DCU) Production, Value, Price and Gross Margin (2020-2025)
7.3.4 Intel Main Business and Markets Served
7.3.5 Intel Recent Developments/Updates
7.4 Google
7.4.1 Google Deep-Learning Computing Unit (DCU) Company Information
7.4.2 Google Deep-Learning Computing Unit (DCU) Product Portfolio
7.4.3 Google Deep-Learning Computing Unit (DCU) Production, Value, Price and Gross Margin (2020-2025)
7.4.4 Google Main Business and Markets Served
7.4.5 Google Recent Developments/Updates
7.5 Xilinx
7.5.1 Xilinx Deep-Learning Computing Unit (DCU) Company Information
7.5.2 Xilinx Deep-Learning Computing Unit (DCU) Product Portfolio
7.5.3 Xilinx Deep-Learning Computing Unit (DCU) Production, Value, Price and Gross Margin (2020-2025)
7.5.4 Xilinx Main Business and Markets Served
7.5.5 Xilinx Recent Developments/Updates
7.6 Hygon
7.6.1 Hygon Deep-Learning Computing Unit (DCU) Company Information
7.6.2 Hygon Deep-Learning Computing Unit (DCU) Product Portfolio
7.6.3 Hygon Deep-Learning Computing Unit (DCU) Production, Value, Price and Gross Margin (2020-2025)
7.6.4 Hygon Main Business and Markets Served
7.6.5 Hygon Recent Developments/Updates
7.7 Hisilicon
7.7.1 Hisilicon Deep-Learning Computing Unit (DCU) Company Information
7.7.2 Hisilicon Deep-Learning Computing Unit (DCU) Product Portfolio
7.7.3 Hisilicon Deep-Learning Computing Unit (DCU) Production, Value, Price and Gross Margin (2020-2025)
7.7.4 Hisilicon Main Business and Markets Served
7.7.5 Hisilicon Recent Developments/Updates
7.8 Cambricon Technologies
7.8.1 Cambricon Technologies Deep-Learning Computing Unit (DCU) Company Information
7.8.2 Cambricon Technologies Deep-Learning Computing Unit (DCU) Product Portfolio
7.8.3 Cambricon Technologies Deep-Learning Computing Unit (DCU) Production, Value, Price and Gross Margin (2020-2025)
7.8.4 Cambricon Technologies Main Business and Markets Served
7.8.5 Cambricon Technologies Recent Developments/Updates
7.9 Iluvatar CoreX
7.9.1 Iluvatar CoreX Deep-Learning Computing Unit (DCU) Company Information
7.9.2 Iluvatar CoreX Deep-Learning Computing Unit (DCU) Product Portfolio
7.9.3 Iluvatar CoreX Deep-Learning Computing Unit (DCU) Production, Value, Price and Gross Margin (2020-2025)
7.9.4 Iluvatar CoreX Main Business and Markets Served
7.9.5 Iluvatar CoreX Recent Developments/Updates
8 Industry Chain and Sales Channels Analysis
8.1 Deep-Learning Computing Unit (DCU) Industry Chain Analysis
8.2 Deep-Learning Computing Unit (DCU) Raw Material Supply Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.3 Deep-Learning Computing Unit (DCU) Production Mode & Process Analysis
8.4 Deep-Learning Computing Unit (DCU) Sales and Marketing
8.4.1 Deep-Learning Computing Unit (DCU) Sales Channels
8.4.2 Deep-Learning Computing Unit (DCU) Distributors
8.5 Deep-Learning Computing Unit (DCU) Customer Analysis
9 Deep-Learning Computing Unit (DCU) Market Dynamics
9.1 Deep-Learning Computing Unit (DCU) Industry Trends
9.2 Deep-Learning Computing Unit (DCU) Market Drivers
9.3 Deep-Learning Computing Unit (DCU) Market Challenges
9.4 Deep-Learning Computing Unit (DCU) Market Restraints
10 Research Findings 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

Companies Mentioned:

NVIDIA
AMD
Intel
Google
Xilinx
Hygon
Hisilicon
Cambricon Technologies
Iluvatar CoreX

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