The global Deep Learning Unit market was valued at US$ 6261.6 million in 2023 and is anticipated to reach US$ 27610 million by 2030, witnessing a CAGR of 21.6% during the forecast period 2024-2030.
North American market for Deep Learning Unit is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Deep Learning Unit is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global manufacturers of Deep Learning Unit include Fujitsu, NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD and Xilinx, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Deep Learning Unit, 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 Unit.
Report Scope
The Deep Learning Unit market size, estimations, and forecasts are provided in terms of output/shipments (K Units) and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Deep Learning Unit 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 Unit 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
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
Consumption by Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
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 Unit 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 Unit 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 Unit 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.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Deep Learning Unit Market Overview
1.1 Product Definition
1.2 Deep Learning Unit Segment by Type
1.2.1 Global Deep Learning Unit Market Value Growth Rate Analysis by Type 2023 VS 2030
1.2.2 GPU
1.2.3 CPU
1.2.4 ASIC
1.2.5 FPGA
1.2.6 Others
1.3 Deep Learning Unit Segment by Application
1.3.1 Global Deep Learning Unit Market Value Growth Rate Analysis by Application: 2023 VS 2030
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 Global Market Growth Prospects
1.4.1 Global Deep Learning Unit Production Value Estimates and Forecasts (2019-2030)
1.4.2 Global Deep Learning Unit Production Capacity Estimates and Forecasts (2019-2030)
1.4.3 Global Deep Learning Unit Production Estimates and Forecasts (2019-2030)
1.4.4 Global Deep Learning Unit Market Average Price Estimates and Forecasts (2019-2030)
1.5 Assumptions and Limitations
2 Market Competition by Manufacturers
2.1 Global Deep Learning Unit Production Market Share by Manufacturers (2019-2024)
2.2 Global Deep Learning Unit Production Value Market Share by Manufacturers (2019-2024)
2.3 Global Key Players of Deep Learning Unit, Industry Ranking, 2022 VS 2023 VS 2024
2.4 Global Deep Learning Unit Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.5 Global Deep Learning Unit Average Price by Manufacturers (2019-2024)
2.6 Global Key Manufacturers of Deep Learning Unit, Manufacturing Base Distribution and Headquarters
2.7 Global Key Manufacturers of Deep Learning Unit, Product Offered and Application
2.8 Global Key Manufacturers of Deep Learning Unit, Date of Enter into This Industry
2.9 Deep Learning Unit Market Competitive Situation and Trends
2.9.1 Deep Learning Unit Market Concentration Rate
2.9.2 Global 5 and 10 Largest Deep Learning Unit Players Market Share by Revenue
2.10 Mergers & Acquisitions, Expansion
3 Deep Learning Unit Production by Region
3.1 Global Deep Learning Unit Production Value Estimates and Forecasts by Region: 2019 VS 2023 VS 2030
3.2 Global Deep Learning Unit Production Value by Region (2019-2030)
3.2.1 Global Deep Learning Unit Production Value Market Share by Region (2019-2024)
3.2.2 Global Forecasted Production Value of Deep Learning Unit by Region (2025-2030)
3.3 Global Deep Learning Unit Production Estimates and Forecasts by Region: 2019 VS 2023 VS 2030
3.4 Global Deep Learning Unit Production by Region (2019-2030)
3.4.1 Global Deep Learning Unit Production Market Share by Region (2019-2024)
3.4.2 Global Forecasted Production of Deep Learning Unit by Region (2025-2030)
3.5 Global Deep Learning Unit Market Price Analysis by Region (2019-2024)
3.6 Global Deep Learning Unit Production and Value, Year-over-Year Growth
3.6.1 North America Deep Learning Unit Production Value Estimates and Forecasts (2019-2030)
3.6.2 Europe Deep Learning Unit Production Value Estimates and Forecasts (2019-2030)
3.6.3 China Deep Learning Unit Production Value Estimates and Forecasts (2019-2030)
3.6.4 Japan Deep Learning Unit Production Value Estimates and Forecasts (2019-2030)
3.6.5 South Korea Deep Learning Unit Production Value Estimates and Forecasts (2019-2030)
4 Deep Learning Unit Consumption by Region
4.1 Global Deep Learning Unit Consumption Estimates and Forecasts by Region: 2019 VS 2023 VS 2030
4.2 Global Deep Learning Unit Consumption by Region (2019-2030)
4.2.1 Global Deep Learning Unit Consumption by Region (2019-2024)
4.2.2 Global Deep Learning Unit Forecasted Consumption by Region (2025-2030)
4.3 North America
4.3.1 North America Deep Learning Unit Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
4.3.2 North America Deep Learning Unit Consumption by Country (2019-2030)
4.3.3 United States
4.3.4 Canada
4.4 Europe
4.4.1 Europe Deep Learning Unit Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
4.4.2 Europe Deep Learning Unit Consumption by Country (2019-2030)
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 Unit Consumption Growth Rate by Region: 2019 VS 2023 VS 2030
4.5.2 Asia Pacific Deep Learning Unit Consumption by Region (2019-2030)
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 Unit Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
4.6.2 Latin America, Middle East & Africa Deep Learning Unit Consumption by Country (2019-2030)
4.6.3 Mexico
4.6.4 Brazil
4.6.5 Turkey
5 Segment by Type
5.1 Global Deep Learning Unit Production by Type (2019-2030)
5.1.1 Global Deep Learning Unit Production by Type (2019-2024)
5.1.2 Global Deep Learning Unit Production by Type (2025-2030)
5.1.3 Global Deep Learning Unit Production Market Share by Type (2019-2030)
5.2 Global Deep Learning Unit Production Value by Type (2019-2030)
5.2.1 Global Deep Learning Unit Production Value by Type (2019-2024)
5.2.2 Global Deep Learning Unit Production Value by Type (2025-2030)
5.2.3 Global Deep Learning Unit Production Value Market Share by Type (2019-2030)
5.3 Global Deep Learning Unit Price by Type (2019-2030)
6 Segment by Application
6.1 Global Deep Learning Unit Production by Application (2019-2030)
6.1.1 Global Deep Learning Unit Production by Application (2019-2024)
6.1.2 Global Deep Learning Unit Production by Application (2025-2030)
6.1.3 Global Deep Learning Unit Production Market Share by Application (2019-2030)
6.2 Global Deep Learning Unit Production Value by Application (2019-2030)
6.2.1 Global Deep Learning Unit Production Value by Application (2019-2024)
6.2.2 Global Deep Learning Unit Production Value by Application (2025-2030)
6.2.3 Global Deep Learning Unit Production Value Market Share by Application (2019-2030)
6.3 Global Deep Learning Unit Price by Application (2019-2030)
7 Key Companies Profiled
7.1 Fujitsu
7.1.1 Fujitsu Deep Learning Unit Corporation Information
7.1.2 Fujitsu Deep Learning Unit Product Portfolio
7.1.3 Fujitsu Deep Learning Unit Production, Value, Price and Gross Margin (2019-2024)
7.1.4 Fujitsu Main Business and Markets Served
7.1.5 Fujitsu Recent Developments/Updates
7.2 NVIDIA
7.2.1 NVIDIA Deep Learning Unit Corporation Information
7.2.2 NVIDIA Deep Learning Unit Product Portfolio
7.2.3 NVIDIA Deep Learning Unit Production, Value, Price and Gross Margin (2019-2024)
7.2.4 NVIDIA Main Business and Markets Served
7.2.5 NVIDIA Recent Developments/Updates
7.3 Intel
7.3.1 Intel Deep Learning Unit Corporation Information
7.3.2 Intel Deep Learning Unit Product Portfolio
7.3.3 Intel Deep Learning Unit Production, Value, Price and Gross Margin (2019-2024)
7.3.4 Intel Main Business and Markets Served
7.3.5 Intel Recent Developments/Updates
7.4 IBM
7.4.1 IBM Deep Learning Unit Corporation Information
7.4.2 IBM Deep Learning Unit Product Portfolio
7.4.3 IBM Deep Learning Unit Production, Value, Price and Gross Margin (2019-2024)
7.4.4 IBM Main Business and Markets Served
7.4.5 IBM Recent Developments/Updates
7.5 Qualcomm
7.5.1 Qualcomm Deep Learning Unit Corporation Information
7.5.2 Qualcomm Deep Learning Unit Product Portfolio
7.5.3 Qualcomm Deep Learning Unit Production, Value, Price and Gross Margin (2019-2024)
7.5.4 Qualcomm Main Business and Markets Served
7.5.5 Qualcomm Recent Developments/Updates
7.6 CEVA
7.6.1 CEVA Deep Learning Unit Corporation Information
7.6.2 CEVA Deep Learning Unit Product Portfolio
7.6.3 CEVA Deep Learning Unit Production, Value, Price and Gross Margin (2019-2024)
7.6.4 CEVA Main Business and Markets Served
7.6.5 CEVA Recent Developments/Updates
7.7 KnuEdge
7.7.1 KnuEdge Deep Learning Unit Corporation Information
7.7.2 KnuEdge Deep Learning Unit Product Portfolio
7.7.3 KnuEdge Deep Learning Unit Production, Value, Price and Gross Margin (2019-2024)
7.7.4 KnuEdge Main Business and Markets Served
7.7.5 KnuEdge Recent Developments/Updates
7.8 AMD
7.8.1 AMD Deep Learning Unit Corporation Information
7.8.2 AMD Deep Learning Unit Product Portfolio
7.8.3 AMD Deep Learning Unit Production, Value, Price and Gross Margin (2019-2024)
7.8.4 AMD Main Business and Markets Served
7.7.5 AMD Recent Developments/Updates
7.9 Xilinx
7.9.1 Xilinx Deep Learning Unit Corporation Information
7.9.2 Xilinx Deep Learning Unit Product Portfolio
7.9.3 Xilinx Deep Learning Unit Production, Value, Price and Gross Margin (2019-2024)
7.9.4 Xilinx Main Business and Markets Served
7.9.5 Xilinx Recent Developments/Updates
7.10 Google
7.10.1 Google Deep Learning Unit Corporation Information
7.10.2 Google Deep Learning Unit Product Portfolio
7.10.3 Google Deep Learning Unit Production, Value, Price and Gross Margin (2019-2024)
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 Unit Corporation Information
7.11.2 Graphcore Deep Learning Unit Product Portfolio
7.11.3 Graphcore Deep Learning Unit Production, Value, Price and Gross Margin (2019-2024)
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 Unit Corporation Information
7.12.2 TeraDeep Deep Learning Unit Product Portfolio
7.12.3 TeraDeep Deep Learning Unit Production, Value, Price and Gross Margin (2019-2024)
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 Unit Corporation Information
7.13.2 Wave Computing Deep Learning Unit Product Portfolio
7.13.3 Wave Computing Deep Learning Unit Production, Value, Price and Gross Margin (2019-2024)
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 Unit Corporation Information
7.14.2 BrainChip Deep Learning Unit Product Portfolio
7.14.3 BrainChip Deep Learning Unit Production, Value, Price and Gross Margin (2019-2024)
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 Unit Industry Chain Analysis
8.2 Deep Learning Unit Key Raw Materials
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.3 Deep Learning Unit Production Mode & Process
8.4 Deep Learning Unit Sales and Marketing
8.4.1 Deep Learning Unit Sales Channels
8.4.2 Deep Learning Unit Distributors
8.5 Deep Learning Unit Customers
9 Deep Learning Unit Market Dynamics
9.1 Deep Learning Unit Industry Trends
9.2 Deep Learning Unit Market Drivers
9.3 Deep Learning Unit Market Challenges
9.4 Deep Learning Unit 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
Fujitsu
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
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*If Applicable.
