Deep Learning Unit - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511245966

Publication Date:

November 7, 2024

Pages:

117

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

Semiconductors [2]

Computing & Electronics [3]

Description:

The global market for Deep Learning Unit was estimated to be worth US$ 6261.6 million in 2023 and is forecast to a readjusted size of US$ 27610 million by 2030 with a CAGR of 21.6% during the forecast period 2024-2030
North American market for Deep Learning Unit was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Deep Learning Unit was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Deep Learning Unit was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Deep Learning Unit include Fujitsu, NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD and Xilinx, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Deep Learning Unit, focusing on the total sales volume, sales revenue, price, key companies market share and ranking, together with an analysis of Deep Learning Unit by region & country, by Type, and by Application.
The Deep Learning Unit market size, estimations, and forecasts are provided in terms of sales volume (K Units) and sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
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
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
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size (valve, volume and price). This chapter also provides 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 2: Detailed analysis of Deep Learning Unit manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: 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 market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Sales, revenue of Deep Learning Unit in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: 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 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Market Overview
1.1 Deep Learning Unit Product Introduction
1.2 Global Deep Learning Unit Market Size Forecast
1.2.1 Global Deep Learning Unit Sales Value (2019-2030)
1.2.2 Global Deep Learning Unit Sales Volume (2019-2030)
1.2.3 Global Deep Learning Unit Sales Price (2019-2030)
1.3 Deep Learning Unit Market Trends & Drivers
1.3.1 Deep Learning Unit Industry Trends
1.3.2 Deep Learning Unit Market Drivers & Opportunity
1.3.3 Deep Learning Unit Market Challenges
1.3.4 Deep Learning Unit Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Deep Learning Unit Players Revenue Ranking (2023)
2.2 Global Deep Learning Unit Revenue by Company (2019-2024)
2.3 Global Deep Learning Unit Players Sales Volume Ranking (2023)
2.4 Global Deep Learning Unit Sales Volume by Company Players (2019-2024)
2.5 Global Deep Learning Unit Average Price by Company (2019-2024)
2.6 Key Manufacturers Deep Learning Unit Manufacturing Base Distribution and Headquarters
2.7 Key Manufacturers Deep Learning Unit Product Offered
2.8 Key Manufacturers Time to Begin Mass Production of Deep Learning Unit
2.9 Deep Learning Unit Market Competitive Analysis
2.9.1 Deep Learning Unit Market Concentration Rate (2019-2024)
2.9.2 Global 5 and 10 Largest Manufacturers by Deep Learning Unit Revenue in 2023
2.9.3 Global Top Manufacturers by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Deep Learning Unit as of 2023)
2.10 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 GPU
3.1.2 CPU
3.1.3 ASIC
3.1.4 FPGA
3.1.5 Others
3.2 Global Deep Learning Unit Sales Value by Type
3.2.1 Global Deep Learning Unit Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Deep Learning Unit Sales Value, by Type (2019-2030)
3.2.3 Global Deep Learning Unit Sales Value, by Type (%) (2019-2030)
3.3 Global Deep Learning Unit Sales Volume by Type
3.3.1 Global Deep Learning Unit Sales Volume by Type (2019 VS 2023 VS 2030)
3.3.2 Global Deep Learning Unit Sales Volume, by Type (2019-2030)
3.3.3 Global Deep Learning Unit Sales Volume, by Type (%) (2019-2030)
3.4 Global Deep Learning Unit Average Price by Type (2019-2030)
4 Segmentation by Application
4.1 Introduction 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 Sales Value by Application
4.2.1 Global Deep Learning Unit Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Deep Learning Unit Sales Value, by Application (2019-2030)
4.2.3 Global Deep Learning Unit Sales Value, by Application (%) (2019-2030)
4.3 Global Deep Learning Unit Sales Volume by Application
4.3.1 Global Deep Learning Unit Sales Volume by Application (2019 VS 2023 VS 2030)
4.3.2 Global Deep Learning Unit Sales Volume, by Application (2019-2030)
4.3.3 Global Deep Learning Unit Sales Volume, by Application (%) (2019-2030)
4.4 Global Deep Learning Unit Average Price by Application (2019-2030)
5 Segmentation by Region
5.1 Global Deep Learning Unit Sales Value by Region
5.1.1 Global Deep Learning Unit Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Deep Learning Unit Sales Value by Region (2019-2024)
5.1.3 Global Deep Learning Unit Sales Value by Region (2025-2030)
5.1.4 Global Deep Learning Unit Sales Value by Region (%), (2019-2030)
5.2 Global Deep Learning Unit Sales Volume by Region
5.2.1 Global Deep Learning Unit Sales Volume by Region: 2019 VS 2023 VS 2030
5.2.2 Global Deep Learning Unit Sales Volume by Region (2019-2024)
5.2.3 Global Deep Learning Unit Sales Volume by Region (2025-2030)
5.2.4 Global Deep Learning Unit Sales Volume by Region (%), (2019-2030)
5.3 Global Deep Learning Unit Average Price by Region (2019-2030)
5.4 North America
5.4.1 North America Deep Learning Unit Sales Value, 2019-2030
5.4.2 North America Deep Learning Unit Sales Value by Country (%), 2023 VS 2030
5.5 Europe
5.5.1 Europe Deep Learning Unit Sales Value, 2019-2030
5.5.2 Europe Deep Learning Unit Sales Value by Country (%), 2023 VS 2030
5.6 Asia Pacific
5.6.1 Asia Pacific Deep Learning Unit Sales Value, 2019-2030
5.6.2 Asia Pacific Deep Learning Unit Sales Value by Country (%), 2023 VS 2030
5.7 South America
5.7.1 South America Deep Learning Unit Sales Value, 2019-2030
5.7.2 South America Deep Learning Unit Sales Value by Country (%), 2023 VS 2030
5.8 Middle East & Africa
5.8.1 Middle East & Africa Deep Learning Unit Sales Value, 2019-2030
5.8.2 Middle East & Africa Deep Learning Unit Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Deep Learning Unit Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Deep Learning Unit Sales Value
6.2.1 Key Countries/Regions Deep Learning Unit Sales Value, 2019-2030
6.2.2 Key Countries/Regions Deep Learning Unit Sales Volume, 2019-2030
6.3 United States
6.3.1 United States Deep Learning Unit Sales Value, 2019-2030
6.3.2 United States Deep Learning Unit Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Deep Learning Unit Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Deep Learning Unit Sales Value, 2019-2030
6.4.2 Europe Deep Learning Unit Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Deep Learning Unit Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Deep Learning Unit Sales Value, 2019-2030
6.5.2 China Deep Learning Unit Sales Value by Type (%), 2023 VS 2030
6.5.3 China Deep Learning Unit Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Deep Learning Unit Sales Value, 2019-2030
6.6.2 Japan Deep Learning Unit Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Deep Learning Unit Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Deep Learning Unit Sales Value, 2019-2030
6.7.2 South Korea Deep Learning Unit Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Deep Learning Unit Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Deep Learning Unit Sales Value, 2019-2030
6.8.2 Southeast Asia Deep Learning Unit Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Deep Learning Unit Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Deep Learning Unit Sales Value, 2019-2030
6.9.2 India Deep Learning Unit Sales Value by Type (%), 2023 VS 2030
6.9.3 India Deep Learning Unit Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Fujitsu
7.1.1 Fujitsu Company Information
7.1.2 Fujitsu Introduction and Business Overview
7.1.3 Fujitsu Deep Learning Unit Sales, Revenue and Gross Margin (2019-2024)
7.1.4 Fujitsu Deep Learning Unit Product Offerings
7.1.5 Fujitsu Recent Development
7.2 NVIDIA
7.2.1 NVIDIA Company Information
7.2.2 NVIDIA Introduction and Business Overview
7.2.3 NVIDIA Deep Learning Unit Sales, Revenue and Gross Margin (2019-2024)
7.2.4 NVIDIA Deep Learning Unit Product Offerings
7.2.5 NVIDIA Recent Development
7.3 Intel
7.3.1 Intel Company Information
7.3.2 Intel Introduction and Business Overview
7.3.3 Intel Deep Learning Unit Sales, Revenue and Gross Margin (2019-2024)
7.3.4 Intel Deep Learning Unit Product Offerings
7.3.5 Intel Recent Development
7.4 IBM
7.4.1 IBM Company Information
7.4.2 IBM Introduction and Business Overview
7.4.3 IBM Deep Learning Unit Sales, Revenue and Gross Margin (2019-2024)
7.4.4 IBM Deep Learning Unit Product Offerings
7.4.5 IBM Recent Development
7.5 Qualcomm
7.5.1 Qualcomm Company Information
7.5.2 Qualcomm Introduction and Business Overview
7.5.3 Qualcomm Deep Learning Unit Sales, Revenue and Gross Margin (2019-2024)
7.5.4 Qualcomm Deep Learning Unit Product Offerings
7.5.5 Qualcomm Recent Development
7.6 CEVA
7.6.1 CEVA Company Information
7.6.2 CEVA Introduction and Business Overview
7.6.3 CEVA Deep Learning Unit Sales, Revenue and Gross Margin (2019-2024)
7.6.4 CEVA Deep Learning Unit Product Offerings
7.6.5 CEVA Recent Development
7.7 KnuEdge
7.7.1 KnuEdge Company Information
7.7.2 KnuEdge Introduction and Business Overview
7.7.3 KnuEdge Deep Learning Unit Sales, Revenue and Gross Margin (2019-2024)
7.7.4 KnuEdge Deep Learning Unit Product Offerings
7.7.5 KnuEdge Recent Development
7.8 AMD
7.8.1 AMD Company Information
7.8.2 AMD Introduction and Business Overview
7.8.3 AMD Deep Learning Unit Sales, Revenue and Gross Margin (2019-2024)
7.8.4 AMD Deep Learning Unit Product Offerings
7.8.5 AMD Recent Development
7.9 Xilinx
7.9.1 Xilinx Company Information
7.9.2 Xilinx Introduction and Business Overview
7.9.3 Xilinx Deep Learning Unit Sales, Revenue and Gross Margin (2019-2024)
7.9.4 Xilinx Deep Learning Unit Product Offerings
7.9.5 Xilinx Recent Development
7.10 Google
7.10.1 Google Company Information
7.10.2 Google Introduction and Business Overview
7.10.3 Google Deep Learning Unit Sales, Revenue and Gross Margin (2019-2024)
7.10.4 Google Deep Learning Unit Product Offerings
7.10.5 Google Recent Development
7.11 Graphcore
7.11.1 Graphcore Company Information
7.11.2 Graphcore Introduction and Business Overview
7.11.3 Graphcore Deep Learning Unit Sales, Revenue and Gross Margin (2019-2024)
7.11.4 Graphcore Deep Learning Unit Product Offerings
7.11.5 Graphcore Recent Development
7.12 TeraDeep
7.12.1 TeraDeep Company Information
7.12.2 TeraDeep Introduction and Business Overview
7.12.3 TeraDeep Deep Learning Unit Sales, Revenue and Gross Margin (2019-2024)
7.12.4 TeraDeep Deep Learning Unit Product Offerings
7.12.5 TeraDeep Recent Development
7.13 Wave Computing
7.13.1 Wave Computing Company Information
7.13.2 Wave Computing Introduction and Business Overview
7.13.3 Wave Computing Deep Learning Unit Sales, Revenue and Gross Margin (2019-2024)
7.13.4 Wave Computing Deep Learning Unit Product Offerings
7.13.5 Wave Computing Recent Development
7.14 BrainChip
7.14.1 BrainChip Company Information
7.14.2 BrainChip Introduction and Business Overview
7.14.3 BrainChip Deep Learning Unit Sales, Revenue and Gross Margin (2019-2024)
7.14.4 BrainChip Deep Learning Unit Product Offerings
7.14.5 BrainChip Recent Development
8 Industry Chain Analysis
8.1 Deep Learning Unit Industrial Chain
8.2 Deep Learning Unit Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Deep Learning Unit Sales Model
8.5.2 Sales Channel
8.5.3 Deep Learning Unit Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Fujitsu
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
Google
Graphcore
TeraDeep
Wave Computing
BrainChip

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