The global Deep Learning Unit market size was valued at USD 6442.9 million in 2023 and is forecast to a readjusted size of USD 23980 million by 2030 with a CAGR of 20.7% during review period.
Thepublisher report includes an overview of the development of the Deep Learning Unit industry chain, the market status of Automotive (GPU, CPU), Consumer Electronics (GPU, CPU), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Deep Learning Unit.
Regionally, the report analyzes the Deep Learning Unit markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Deep Learning Unit market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Deep Learning Unit market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Deep Learning Unit industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the sales quantity (K Units), revenue generated, and market share of different by Type (e.g., GPU, CPU).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Deep Learning Unit market.
Regional Analysis: The report involves examining the Deep Learning Unit market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Deep Learning Unit market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Deep Learning Unit:
Company Analysis: Report covers individual Deep Learning Unit manufacturers, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Deep Learning Unit This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Automotive, Consumer Electronics).
Technology Analysis: Report covers specific technologies relevant to Deep Learning Unit. It assesses the current state, advancements, and potential future developments in Deep Learning Unit areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Deep Learning Unit market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
Deep Learning Unit market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value.
Market segment by Type
GPU
CPU
ASIC
FPGA
Others
Market segment by Application
Automotive
Consumer Electronics
Medical
Industrial
Military & Defense
Others
Major players covered
Fujitsu
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
Market segment by region, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Deep Learning Unit product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Deep Learning Unit, with price, sales, revenue and global market share of Deep Learning Unit from 2019 to 2024.
Chapter 3, the Deep Learning Unit competitive situation, sales quantity, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Deep Learning Unit breakdown data are shown at the regional level, to show the sales quantity, consumption value and growth by regions, from 2019 to 2030.
Chapter 5 and 6, to segment the sales by Type and application, with sales market share and growth rate by type, application, from 2019 to 2030.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value and market share for key countries in the world, from 2017 to 2023.and Deep Learning Unit market forecast, by regions, type and application, with sales and revenue, from 2025 to 2030.
Chapter 12, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Deep Learning Unit.
Chapter 14 and 15, to describe Deep Learning Unit sales channel, distributors, customers, research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 Market Overview
1.1 Product Overview and Scope of Deep Learning Unit
1.2 Market Estimation Caveats and Base Year
1.3 Market Analysis by Type
1.3.1 Overview: Global Deep Learning Unit Consumption Value by Type: 2019 Versus 2023 Versus 2030
1.3.2 GPU
1.3.3 CPU
1.3.4 ASIC
1.3.5 FPGA
1.3.6 Others
1.4 Market Analysis by Application
1.4.1 Overview: Global Deep Learning Unit Consumption Value by Application: 2019 Versus 2023 Versus 2030
1.4.2 Automotive
1.4.3 Consumer Electronics
1.4.4 Medical
1.4.5 Industrial
1.4.6 Military & Defense
1.4.7 Others
1.5 Global Deep Learning Unit Market Size & Forecast
1.5.1 Global Deep Learning Unit Consumption Value (2019 & 2023 & 2030)
1.5.2 Global Deep Learning Unit Sales Quantity (2019-2030)
1.5.3 Global Deep Learning Unit Average Price (2019-2030)
2 Manufacturers Profiles
2.1 Fujitsu
2.1.1 Fujitsu Details
2.1.2 Fujitsu Major Business
2.1.3 Fujitsu Deep Learning Unit Product and Services
2.1.4 Fujitsu Deep Learning Unit Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2019-2024)
2.1.5 Fujitsu Recent Developments/Updates
2.2 NVIDIA
2.2.1 NVIDIA Details
2.2.2 NVIDIA Major Business
2.2.3 NVIDIA Deep Learning Unit Product and Services
2.2.4 NVIDIA Deep Learning Unit Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2019-2024)
2.2.5 NVIDIA Recent Developments/Updates
2.3 Intel
2.3.1 Intel Details
2.3.2 Intel Major Business
2.3.3 Intel Deep Learning Unit Product and Services
2.3.4 Intel Deep Learning Unit Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2019-2024)
2.3.5 Intel Recent Developments/Updates
2.4 IBM
2.4.1 IBM Details
2.4.2 IBM Major Business
2.4.3 IBM Deep Learning Unit Product and Services
2.4.4 IBM Deep Learning Unit Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2019-2024)
2.4.5 IBM Recent Developments/Updates
2.5 Qualcomm
2.5.1 Qualcomm Details
2.5.2 Qualcomm Major Business
2.5.3 Qualcomm Deep Learning Unit Product and Services
2.5.4 Qualcomm Deep Learning Unit Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2019-2024)
2.5.5 Qualcomm Recent Developments/Updates
2.6 CEVA
2.6.1 CEVA Details
2.6.2 CEVA Major Business
2.6.3 CEVA Deep Learning Unit Product and Services
2.6.4 CEVA Deep Learning Unit Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2019-2024)
2.6.5 CEVA Recent Developments/Updates
2.7 KnuEdge
2.7.1 KnuEdge Details
2.7.2 KnuEdge Major Business
2.7.3 KnuEdge Deep Learning Unit Product and Services
2.7.4 KnuEdge Deep Learning Unit Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2019-2024)
2.7.5 KnuEdge Recent Developments/Updates
2.8 AMD
2.8.1 AMD Details
2.8.2 AMD Major Business
2.8.3 AMD Deep Learning Unit Product and Services
2.8.4 AMD Deep Learning Unit Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2019-2024)
2.8.5 AMD Recent Developments/Updates
2.9 Xilinx
2.9.1 Xilinx Details
2.9.2 Xilinx Major Business
2.9.3 Xilinx Deep Learning Unit Product and Services
2.9.4 Xilinx Deep Learning Unit Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2019-2024)
2.9.5 Xilinx Recent Developments/Updates
2.10 Google
2.10.1 Google Details
2.10.2 Google Major Business
2.10.3 Google Deep Learning Unit Product and Services
2.10.4 Google Deep Learning Unit Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2019-2024)
2.10.5 Google Recent Developments/Updates
2.11 Graphcore
2.11.1 Graphcore Details
2.11.2 Graphcore Major Business
2.11.3 Graphcore Deep Learning Unit Product and Services
2.11.4 Graphcore Deep Learning Unit Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2019-2024)
2.11.5 Graphcore Recent Developments/Updates
2.12 TeraDeep
2.12.1 TeraDeep Details
2.12.2 TeraDeep Major Business
2.12.3 TeraDeep Deep Learning Unit Product and Services
2.12.4 TeraDeep Deep Learning Unit Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2019-2024)
2.12.5 TeraDeep Recent Developments/Updates
2.13 Wave Computing
2.13.1 Wave Computing Details
2.13.2 Wave Computing Major Business
2.13.3 Wave Computing Deep Learning Unit Product and Services
2.13.4 Wave Computing Deep Learning Unit Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2019-2024)
2.13.5 Wave Computing Recent Developments/Updates
2.14 BrainChip
2.14.1 BrainChip Details
2.14.2 BrainChip Major Business
2.14.3 BrainChip Deep Learning Unit Product and Services
2.14.4 BrainChip Deep Learning Unit Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2019-2024)
2.14.5 BrainChip Recent Developments/Updates
3 Competitive Environment: Deep Learning Unit by Manufacturer
3.1 Global Deep Learning Unit Sales Quantity by Manufacturer (2019-2024)
3.2 Global Deep Learning Unit Revenue by Manufacturer (2019-2024)
3.3 Global Deep Learning Unit Average Price by Manufacturer (2019-2024)
3.4 Market Share Analysis (2023)
3.4.1 Producer Shipments of Deep Learning Unit by Manufacturer Revenue ($MM) and Market Share (%): 2023
3.4.2 Top 3 Deep Learning Unit Manufacturer Market Share in 2023
3.4.2 Top 6 Deep Learning Unit Manufacturer Market Share in 2023
3.5 Deep Learning Unit Market: Overall Company Footprint Analysis
3.5.1 Deep Learning Unit Market: Region Footprint
3.5.2 Deep Learning Unit Market: Company Product Type Footprint
3.5.3 Deep Learning Unit Market: Company Product Application Footprint
3.6 New Market Entrants and Barriers to Market Entry
3.7 Mergers, Acquisition, Agreements, and Collaborations
4 Consumption Analysis by Region
4.1 Global Deep Learning Unit Market Size by Region
4.1.1 Global Deep Learning Unit Sales Quantity by Region (2019-2030)
4.1.2 Global Deep Learning Unit Consumption Value by Region (2019-2030)
4.1.3 Global Deep Learning Unit Average Price by Region (2019-2030)
4.2 North America Deep Learning Unit Consumption Value (2019-2030)
4.3 Europe Deep Learning Unit Consumption Value (2019-2030)
4.4 Asia-Pacific Deep Learning Unit Consumption Value (2019-2030)
4.5 South America Deep Learning Unit Consumption Value (2019-2030)
4.6 Middle East and Africa Deep Learning Unit Consumption Value (2019-2030)
5 Market Segment by Type
5.1 Global Deep Learning Unit Sales Quantity by Type (2019-2030)
5.2 Global Deep Learning Unit Consumption Value by Type (2019-2030)
5.3 Global Deep Learning Unit Average Price by Type (2019-2030)
6 Market Segment by Application
6.1 Global Deep Learning Unit Sales Quantity by Application (2019-2030)
6.2 Global Deep Learning Unit Consumption Value by Application (2019-2030)
6.3 Global Deep Learning Unit Average Price by Application (2019-2030)
7 North America
7.1 North America Deep Learning Unit Sales Quantity by Type (2019-2030)
7.2 North America Deep Learning Unit Sales Quantity by Application (2019-2030)
7.3 North America Deep Learning Unit Market Size by Country
7.3.1 North America Deep Learning Unit Sales Quantity by Country (2019-2030)
7.3.2 North America Deep Learning Unit Consumption Value by Country (2019-2030)
7.3.3 United States Market Size and Forecast (2019-2030)
7.3.4 Canada Market Size and Forecast (2019-2030)
7.3.5 Mexico Market Size and Forecast (2019-2030)
8 Europe
8.1 Europe Deep Learning Unit Sales Quantity by Type (2019-2030)
8.2 Europe Deep Learning Unit Sales Quantity by Application (2019-2030)
8.3 Europe Deep Learning Unit Market Size by Country
8.3.1 Europe Deep Learning Unit Sales Quantity by Country (2019-2030)
8.3.2 Europe Deep Learning Unit Consumption Value by Country (2019-2030)
8.3.3 Germany Market Size and Forecast (2019-2030)
8.3.4 France Market Size and Forecast (2019-2030)
8.3.5 United Kingdom Market Size and Forecast (2019-2030)
8.3.6 Russia Market Size and Forecast (2019-2030)
8.3.7 Italy Market Size and Forecast (2019-2030)
9 Asia-Pacific
9.1 Asia-Pacific Deep Learning Unit Sales Quantity by Type (2019-2030)
9.2 Asia-Pacific Deep Learning Unit Sales Quantity by Application (2019-2030)
9.3 Asia-Pacific Deep Learning Unit Market Size by Region
9.3.1 Asia-Pacific Deep Learning Unit Sales Quantity by Region (2019-2030)
9.3.2 Asia-Pacific Deep Learning Unit Consumption Value by Region (2019-2030)
9.3.3 China Market Size and Forecast (2019-2030)
9.3.4 Japan Market Size and Forecast (2019-2030)
9.3.5 Korea Market Size and Forecast (2019-2030)
9.3.6 India Market Size and Forecast (2019-2030)
9.3.7 Southeast Asia Market Size and Forecast (2019-2030)
9.3.8 Australia Market Size and Forecast (2019-2030)
10 South America
10.1 South America Deep Learning Unit Sales Quantity by Type (2019-2030)
10.2 South America Deep Learning Unit Sales Quantity by Application (2019-2030)
10.3 South America Deep Learning Unit Market Size by Country
10.3.1 South America Deep Learning Unit Sales Quantity by Country (2019-2030)
10.3.2 South America Deep Learning Unit Consumption Value by Country (2019-2030)
10.3.3 Brazil Market Size and Forecast (2019-2030)
10.3.4 Argentina Market Size and Forecast (2019-2030)
11 Middle East & Africa
11.1 Middle East & Africa Deep Learning Unit Sales Quantity by Type (2019-2030)
11.2 Middle East & Africa Deep Learning Unit Sales Quantity by Application (2019-2030)
11.3 Middle East & Africa Deep Learning Unit Market Size by Country
11.3.1 Middle East & Africa Deep Learning Unit Sales Quantity by Country (2019-2030)
11.3.2 Middle East & Africa Deep Learning Unit Consumption Value by Country (2019-2030)
11.3.3 Turkey Market Size and Forecast (2019-2030)
11.3.4 Egypt Market Size and Forecast (2019-2030)
11.3.5 Saudi Arabia Market Size and Forecast (2019-2030)
11.3.6 South Africa Market Size and Forecast (2019-2030)
12 Market Dynamics
12.1 Deep Learning Unit Market Drivers
12.2 Deep Learning Unit Market Restraints
12.3 Deep Learning Unit Trends Analysis
12.4 Porters Five Forces Analysis
12.4.1 Threat of New Entrants
12.4.2 Bargaining Power of Suppliers
12.4.3 Bargaining Power of Buyers
12.4.4 Threat of Substitutes
12.4.5 Competitive Rivalry
13 Raw Material and Industry Chain
13.1 Raw Material of Deep Learning Unit and Key Manufacturers
13.2 Manufacturing Costs Percentage of Deep Learning Unit
13.3 Deep Learning Unit Production Process
13.4 Deep Learning Unit Industrial Chain
14 Shipments by Distribution Channel
14.1 Sales Channel
14.1.1 Direct to End-User
14.1.2 Distributors
14.2 Deep Learning Unit Typical Distributors
14.3 Deep Learning Unit Typical Customers
15 Research Findings and Conclusion
16 Appendix
16.1 Methodology
16.2 Research Process and Data Source
16.3 Disclaimer
Fujitsu
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
听
听
*If Applicable.
