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Deep Learning Unit-Global Market Insights and Sales Trends 2025

Deep Learning Unit-Global Market Insights and Sales Trends 2025

Publishing Date : Mar, 2025

License Type :
 

Report Code : 1877073

No of Pages : 104

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Synopsis
The global Deep Learning Unit market size is expected to reach US$ 27610 million by 2029, growing at a CAGR of 21.6% from 2023 to 2029. The market is mainly driven by the significant applications of Deep Learning Unit in various end use industries. The expanding demands from the Automotive, Consumer Electronics, Medical and Industrial, are propelling Deep Learning Unit market. GPU, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the CPU segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Deep Learning Unit market, driven by demand from China, the second largest economy with some signs of stabilising, the Deep Learning Unit market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by manufacturers, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Deep Learning Unit, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Deep Learning Unit market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Deep Learning Unit market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Deep Learning Unit sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Deep Learning Unit covered in this report include Fujitsu, NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD and Xilinx, etc.
The global Deep Learning Unit market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Fujitsu
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
Global Deep Learning Unit market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Deep Learning Unit market, Segment by Type:
GPU
CPU
ASIC
FPGA
Others
Global Deep Learning Unit market, by Application
Automotive
Consumer Electronics
Medical
Industrial
Military & Defense
Others
Core Chapters
Chapter One: Introduces the study scope of this report, executive summary of market segments by Type, market size segments for North America, Europe, Asia Pacific, South America, Middle East & Africa.
Chapter Two: Detailed analysis of Deep Learning Unit manufacturers competitive landscape, price, sales, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Three: Sales, revenue of Deep Learning Unit in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the future development prospects, and market space in the world.
Chapter Four: Introduces market segments by Application, market size segment for North America, Europe, Asia Pacific, South America, Middle East & Africa.
Chapter Five, Six, Seven, Eight and Nine: North America, Europe, Asia Pacific, South America, Middle East & Africa, sales and revenue by country.
Chapter Ten: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter Eleven: Analysis of industrial chain, key raw materials, manufacturing cost, and market dynamics. 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 Twelve: Analysis of sales channel, distributors and customers.
Chapter Thirteen: Research Findings and Conclusion.
Index
1 Deep Learning Unit Market Overview
1.1 Deep Learning Unit Product Overview
1.2 Deep Learning Unit Market Segment by Type
1.2.1 GPU
1.2.2 CPU
1.2.3 ASIC
1.2.4 FPGA
1.2.5 Others
1.3 Global Deep Learning Unit Market Size by Type
1.3.1 Global Deep Learning Unit Market Size Overview by Type (2018-2029)
1.3.2 Global Deep Learning Unit Historic Market Size Review by Type (2018-2023)
1.3.3 Global Deep Learning Unit Forecasted Market Size by Type (2024-2029)
1.4 Key Regions Market Size Segment by Type
1.4.1 North America Deep Learning Unit Sales Breakdown by Type (2018-2023)
1.4.2 Europe Deep Learning Unit Sales Breakdown by Type (2018-2023)
1.4.3 Asia-Pacific Deep Learning Unit Sales Breakdown by Type (2018-2023)
1.4.4 Latin America Deep Learning Unit Sales Breakdown by Type (2018-2023)
1.4.5 Middle East and Africa Deep Learning Unit Sales Breakdown by Type (2018-2023)
2 Global Deep Learning Unit Market Competition by Company
2.1 Global Top Players by Deep Learning Unit Sales (2018-2023)
2.2 Global Top Players by Deep Learning Unit Revenue (2018-2023)
2.3 Global Top Players by Deep Learning Unit Price (2018-2023)
2.4 Global Top Manufacturers Deep Learning Unit Manufacturing Base Distribution, Sales Area, Product Type
2.5 Deep Learning Unit Market Competitive Situation and Trends
2.5.1 Deep Learning Unit Market Concentration Rate (2018-2023)
2.5.2 Global 5 and 10 Largest Manufacturers by Deep Learning Unit Sales and Revenue in 2022
2.6 Global Top Manufacturers by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Deep Learning Unit as of 2022)
2.7 Date of Key Manufacturers Enter into Deep Learning Unit Market
2.8 Key Manufacturers Deep Learning Unit Product Offered
2.9 Mergers & Acquisitions, Expansion
3 Deep Learning Unit Status and Outlook by Region
3.1 Global Deep Learning Unit Market Size and CAGR by Region: 2018 VS 2022 VS 2029
3.2 Global Deep Learning Unit Historic Market Size by Region
3.2.1 Global Deep Learning Unit Sales in Volume by Region (2018-2023)
3.2.2 Global Deep Learning Unit Sales in Value by Region (2018-2023)
3.2.3 Global Deep Learning Unit Sales (Volume & Value) Price and Gross Margin (2018-2023)
3.3 Global Deep Learning Unit Forecasted Market Size by Region
3.3.1 Global Deep Learning Unit Sales in Volume by Region (2024-2029)
3.3.2 Global Deep Learning Unit Sales in Value by Region (2024-2029)
3.3.3 Global Deep Learning Unit Sales (Volume & Value), Price and Gross Margin (2024-2029)
4 Global Deep Learning Unit by Application
4.1 Deep Learning Unit Market Segment by Application
4.1.1 Automotive
4.1.2 Consumer Electronics
4.1.3 Medical
4.1.4 Industrial
4.1.5 Military & Defense
4.1.6 Others
4.2 Global Deep Learning Unit Market Size by Application
4.2.1 Global Deep Learning Unit Market Size Overview by Application (2018-2029)
4.2.2 Global Deep Learning Unit Historic Market Size Review by Application (2018-2023)
4.2.3 Global Deep Learning Unit Forecasted Market Size by Application (2024-2029)
4.3 Key Regions Market Size Segment by Application
4.3.1 North America Deep Learning Unit Sales Breakdown by Application (2018-2023)
4.3.2 Europe Deep Learning Unit Sales Breakdown by Application (2018-2023)
4.3.3 Asia-Pacific Deep Learning Unit Sales Breakdown by Application (2018-2023)
4.3.4 Latin America Deep Learning Unit Sales Breakdown by Application (2018-2023)
4.3.5 Middle East and Africa Deep Learning Unit Sales Breakdown by Application (2018-2023)
5 North America Deep Learning Unit by Country
5.1 North America Deep Learning Unit Historic Market Size by Country
5.1.1 North America Deep Learning Unit Market Size Growth Rate (CAGR) by Country: 2018 VS 2022 VS 2029
5.1.2 North America Deep Learning Unit Sales in Volume by Country (2018-2023)
5.1.3 North America Deep Learning Unit Sales in Value by Country (2018-2023)
5.2 North America Deep Learning Unit Forecasted Market Size by Country
5.2.1 North America Deep Learning Unit Sales in Volume by Country (2024-2029)
5.2.2 North America Deep Learning Unit Sales in Value by Country (2024-2029)
6 Europe Deep Learning Unit by Country
6.1 Europe Deep Learning Unit Historic Market Size by Country
6.1.1 Europe Deep Learning Unit Market Size Growth Rate (CAGR) by Country: 2018 VS 2022 VS 2029
6.1.2 Europe Deep Learning Unit Sales in Volume by Country (2018-2023)
6.1.3 Europe Deep Learning Unit Sales in Value by Country (2018-2023)
6.2 Europe Deep Learning Unit Forecasted Market Size by Country
6.2.1 Europe Deep Learning Unit Sales in Volume by Country (2024-2029)
6.2.2 Europe Deep Learning Unit Sales in Value by Country (2024-2029)
7 Asia-Pacific Deep Learning Unit by Region
7.1 Asia-Pacific Deep Learning Unit Historic Market Size by Region
7.1.1 Asia-Pacific Deep Learning Unit Market Size Growth Rate (CAGR) by Region: 2018 VS 2022 VS 2029
7.1.2 Asia-Pacific Deep Learning Unit Sales in Volume by Region (2018-2023)
7.1.3 Asia-Pacific Deep Learning Unit Sales in Value by Region (2018-2023)
7.2 Asia-Pacific Deep Learning Unit Forecasted Market Size by Region
7.2.1 Asia-Pacific Deep Learning Unit Sales in Volume by Region (2024-2029)
7.2.2 Asia-Pacific Deep Learning Unit Sales in Value by Region (2024-2029)
8 Latin America Deep Learning Unit by Country
8.1 Latin America Deep Learning Unit Historic Market Size by Country
8.1.1 Latin America Deep Learning Unit Market Size Growth Rate (CAGR) by Country: 2018 VS 2022 VS 2029
8.1.2 Latin America Deep Learning Unit Sales in Volume by Country (2018-2023)
8.1.3 Latin America Deep Learning Unit Sales in Value by Country (2018-2023)
8.2 Latin America Deep Learning Unit Forecasted Market Size by Country
8.2.1 Latin America Deep Learning Unit Sales in Volume by Country (2024-2029)
8.2.2 Latin America Deep Learning Unit Sales in Value by Country (2024-2029)
9 Middle East and Africa Deep Learning Unit by Country
9.1 Middle East and Africa Deep Learning Unit Historic Market Size by Country
9.1.1 Middle East and Africa Deep Learning Unit Market Size Growth Rate (CAGR) by Country: 2018 VS 2022 VS 2029
9.1.2 Middle East and Africa Deep Learning Unit Sales in Volume by Country (2018-2023)
9.1.3 Middle East and Africa Deep Learning Unit Sales in Value by Country (2018-2023)
9.2 Middle East and Africa Deep Learning Unit Forecasted Market Size by Country
9.2.1 Middle East and Africa Deep Learning Unit Sales in Volume by Country (2024-2029)
9.2.2 Middle East and Africa Deep Learning Unit Sales in Value by Country (2024-2029)
10 Company Profiles
10.1 Fujitsu
10.1.1 Fujitsu Company Information
10.1.2 Fujitsu Introduction and Business Overview
10.1.3 Fujitsu Deep Learning Unit Sales, Revenue and Gross Margin (2018-2023)
10.1.4 Fujitsu Deep Learning Unit Products Offered
10.1.5 Fujitsu Recent Development
10.2 NVIDIA
10.2.1 NVIDIA Company Information
10.2.2 NVIDIA Introduction and Business Overview
10.2.3 NVIDIA Deep Learning Unit Sales, Revenue and Gross Margin (2018-2023)
10.2.4 NVIDIA Deep Learning Unit Products Offered
10.2.5 NVIDIA Recent Development
10.3 Intel
10.3.1 Intel Company Information
10.3.2 Intel Introduction and Business Overview
10.3.3 Intel Deep Learning Unit Sales, Revenue and Gross Margin (2018-2023)
10.3.4 Intel Deep Learning Unit Products Offered
10.3.5 Intel Recent Development
10.4 IBM
10.4.1 IBM Company Information
10.4.2 IBM Introduction and Business Overview
10.4.3 IBM Deep Learning Unit Sales, Revenue and Gross Margin (2018-2023)
10.4.4 IBM Deep Learning Unit Products Offered
10.4.5 IBM Recent Development
10.5 Qualcomm
10.5.1 Qualcomm Company Information
10.5.2 Qualcomm Introduction and Business Overview
10.5.3 Qualcomm Deep Learning Unit Sales, Revenue and Gross Margin (2018-2023)
10.5.4 Qualcomm Deep Learning Unit Products Offered
10.5.5 Qualcomm Recent Development
10.6 CEVA
10.6.1 CEVA Company Information
10.6.2 CEVA Introduction and Business Overview
10.6.3 CEVA Deep Learning Unit Sales, Revenue and Gross Margin (2018-2023)
10.6.4 CEVA Deep Learning Unit Products Offered
10.6.5 CEVA Recent Development
10.7 KnuEdge
10.7.1 KnuEdge Company Information
10.7.2 KnuEdge Introduction and Business Overview
10.7.3 KnuEdge Deep Learning Unit Sales, Revenue and Gross Margin (2018-2023)
10.7.4 KnuEdge Deep Learning Unit Products Offered
10.7.5 KnuEdge Recent Development
10.8 AMD
10.8.1 AMD Company Information
10.8.2 AMD Introduction and Business Overview
10.8.3 AMD Deep Learning Unit Sales, Revenue and Gross Margin (2018-2023)
10.8.4 AMD Deep Learning Unit Products Offered
10.8.5 AMD Recent Development
10.9 Xilinx
10.9.1 Xilinx Company Information
10.9.2 Xilinx Introduction and Business Overview
10.9.3 Xilinx Deep Learning Unit Sales, Revenue and Gross Margin (2018-2023)
10.9.4 Xilinx Deep Learning Unit Products Offered
10.9.5 Xilinx Recent Development
10.10 Google
10.10.1 Google Company Information
10.10.2 Google Introduction and Business Overview
10.10.3 Google Deep Learning Unit Sales, Revenue and Gross Margin (2018-2023)
10.10.4 Google Deep Learning Unit Products Offered
10.10.5 Google Recent Development
10.11 Graphcore
10.11.1 Graphcore Company Information
10.11.2 Graphcore Introduction and Business Overview
10.11.3 Graphcore Deep Learning Unit Sales, Revenue and Gross Margin (2018-2023)
10.11.4 Graphcore Deep Learning Unit Products Offered
10.11.5 Graphcore Recent Development
10.12 TeraDeep
10.12.1 TeraDeep Company Information
10.12.2 TeraDeep Introduction and Business Overview
10.12.3 TeraDeep Deep Learning Unit Sales, Revenue and Gross Margin (2018-2023)
10.12.4 TeraDeep Deep Learning Unit Products Offered
10.12.5 TeraDeep Recent Development
10.13 Wave Computing
10.13.1 Wave Computing Company Information
10.13.2 Wave Computing Introduction and Business Overview
10.13.3 Wave Computing Deep Learning Unit Sales, Revenue and Gross Margin (2018-2023)
10.13.4 Wave Computing Deep Learning Unit Products Offered
10.13.5 Wave Computing Recent Development
10.14 BrainChip
10.14.1 BrainChip Company Information
10.14.2 BrainChip Introduction and Business Overview
10.14.3 BrainChip Deep Learning Unit Sales, Revenue and Gross Margin (2018-2023)
10.14.4 BrainChip Deep Learning Unit Products Offered
10.14.5 BrainChip Recent Development
11 Upstream, Opportunities, Challenges, Risks and Influences Factors Analysis
11.1 Deep Learning Unit Key Raw Materials
11.1.1 Key Raw Materials
11.1.2 Key Raw Materials Price
11.1.3 Raw Materials Key Suppliers
11.2 Manufacturing Cost Structure
11.2.1 Raw Materials
11.2.2 Labor Cost
11.2.3 Manufacturing Expenses
11.3 Deep Learning Unit Industrial Chain Analysis
11.4 Deep Learning Unit Market Dynamics
11.4.1 Deep Learning Unit Industry Trends
11.4.2 Deep Learning Unit Market Drivers
11.4.3 Deep Learning Unit Market Challenges
11.4.4 Deep Learning Unit Market Restraints
12 Market Strategy Analysis, Distributors
12.1 Sales Channel
12.2 Deep Learning Unit Distributors
12.3 Deep Learning Unit Downstream Customers
13 Research Findings and Conclusion
14 Appendix
14.1 Research Methodology
14.1.1 Methodology/Research Approach
14.1.2 Data Source
14.2 Author Details
14.3 Disclaimer

Published By : QY Research

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