The global deep learning system market is expected to grow from USD 1.5 billion in 2018 to USD 3.8 billion by 2030, at a CAGR of 18.2% during the forecast period. The growth of this market can be attributed to the increasing demand for artificial intelligence (AI) and machine learning applications in various industries such as consumer, aerospace, military & defense, automotive, industrial and medical sectors.
The global deep learning system market is segmented on the basis of type into GPUs, CPUs, ASICs and FPGAs; on the basis of application into consumer sector, aerospace sector, military & defense sector automotive sector industrial sector and medical sector; and on the basis of region into North America (NA), Latin America (LA), Europe (EU), Asia Pacific (APAC) and Middle East & Africa (MEA).
-The market for deep learning systems is expected to grow at a CAGR of over 60% from 2017 to 2022.
-The growth in the market is attributed to the increasing demand for deep learning systems in various industries such as healthcare, automotive, and manufacturing.
-Deep learning systems are also being used by companies such as Google and Facebook for their own products and services. This has led to an increase in demand for these systems.
-The use of deep learning system has increased due to its ability to process large amounts of data quickly and accurately. This has led many companies across various industries including healthcare, automotive, and manufacturing adopt this technology.
Industry Growth Insights published a new data on “Deep Learning System Market”. The research report is titled “Deep Learning System Market research by Types (GPUs, CPUs, ASICs, FPGAs, Others), By Applications (Consumer, Aerospace, Military & Defense, Automotive, Industrial, Medical, Others), By Players/Companies NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore, TeraDeep, Wave Computing, BrainChip”.
Scope Of The Report
Report Attributes
Report Details
Report Title
Deep Learning System Market Research Report
By Type
GPUs, CPUs, ASICs, FPGAs, Others
By Application
Consumer, Aerospace, Military & Defense, Automotive, Industrial, Medical, Others
By Companies
NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore, TeraDeep, Wave Computing, BrainChip
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
240
Number of Tables & Figures
168
Customization Available
Yes, the report can be customized as per your need.
Global Deep Learning System Market Report Segments:
The global Deep Learning System market is segmented on the basis of:
Types
GPUs, CPUs, ASICs, FPGAs, Others
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Consumer, Aerospace, Military & Defense, Automotive, Industrial, Medical, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- NVIDIA
- Intel
- IBM
- Qualcomm
- CEVA
- KnuEdge
- AMD
- Xilinx
- ARM
- Google
- Graphcore
- TeraDeep
- Wave Computing
- BrainChip
Highlights of The Deep Learning System Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- GPUs
- CPUs
- ASICs
- FPGAs
- Others
- By Application:
- Consumer
- Aerospace, Military & Defense
- Automotive
- Industrial
- Medical
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Deep Learning System Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
A deep learning system is a computer program that can learn to do tasks on its own, without being explicitly programmed.
Some of the key players operating in the deep learning system market are NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore, TeraDeep, Wave Computing, BrainChip.
The deep learning system market is expected to register a CAGR of 18.2%.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Deep Learning System Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Deep Learning System Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Deep Learning System Market - Supply Chain
4.5. Global Deep Learning System Market Forecast
4.5.1. Deep Learning System Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Deep Learning System Market Size (000 Units) and Y-o-Y Growth
4.5.3. Deep Learning System Market Absolute $ Opportunity
5. Global Deep Learning System Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. Deep Learning System Market Size and Volume Forecast by Type
5.3.1. GPUs
5.3.2. CPUs
5.3.3. ASICs
5.3.4. FPGAs
5.3.5. Others
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type
6. Global Deep Learning System Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. Deep Learning System Market Size and Volume Forecast by Application
6.3.1. Consumer
6.3.2. Aerospace, Military & Defense
6.3.3. Automotive
6.3.4. Industrial
6.3.5. Medical
6.3.6. Others
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application
7. Global Deep Learning System Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. Deep Learning System Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel
8. Global Deep Learning System Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Deep Learning System Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Deep Learning System Demand Share Forecast, 2019-2026
9. North America Deep Learning System Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America Deep Learning System Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America Deep Learning System Market Size and Volume Forecast by Application
9.4.1. Consumer
9.4.2. Aerospace, Military & Defense
9.4.3. Automotive
9.4.4. Industrial
9.4.5. Medical
9.4.6. Others
9.5. Basis Point Share (BPS) Analysis by Application
9.6. Y-o-Y Growth Projections by Application
9.7. North America Deep Learning System Market Size and Volume Forecast by Type
9.7.1. GPUs
9.7.2. CPUs
9.7.3. ASICs
9.7.4. FPGAs
9.7.5. Others
9.8. Basis Point Share (BPS) Analysis by Type
9.9. Y-o-Y Growth Projections by Type
9.10. Market Attractiveness/Growth Potential Analysis
9.10.1. By Country
9.10.2. By Product Type
9.10.3. By Application
9.10.4. By Sales Channel
9.11. North America Deep Learning System Demand Share Forecast, 2019-2026
10. Latin America Deep Learning System Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America Deep Learning System Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America Deep Learning System Market Size and Volume Forecast by Application
10.4.1. Consumer
10.4.2. Aerospace, Military & Defense
10.4.3. Automotive
10.4.4. Industrial
10.4.5. Medical
10.4.6. Others
10.5. Basis Point Share (BPS) Analysis by Application
10.6. Y-o-Y Growth Projections by Application
10.7. Latin America Deep Learning System Market Size and Volume Forecast by Type
10.7.1. GPUs
10.7.2. CPUs
10.7.3. ASICs
10.7.4. FPGAs
10.7.5. Others
10.8. Basis Point Share (BPS) Analysis by Type
10.9. Y-o-Y Growth Projections by Type
10.10. Market Attractiveness/Growth Potential Analysis
10.10.1. By Country
10.10.2. By Product Type
10.10.3. By Application
10.10.4. By Sales Channel
10.11. Latin America Deep Learning System Demand Share Forecast, 2019-2026
11. Europe Deep Learning System Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe Deep Learning System Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe Deep Learning System Market Size and Volume Forecast by Application
11.4.1. Consumer
11.4.2. Aerospace, Military & Defense
11.4.3. Automotive
11.4.4. Industrial
11.4.5. Medical
11.4.6. Others
11.5. Basis Point Share (BPS) Analysis by Application
11.6. Y-o-Y Growth Projections by Application
11.7. Europe Deep Learning System Market Size and Volume Forecast by Type
11.7.1. GPUs
11.7.2. CPUs
11.7.3. SICs
11.7.4. FPGAs
11.7.5. Others
11.8. Basis Point Share (BPS) Analysis by Type
11.9. Y-o-Y Growth Projections by Type
11.10. Market Attractiveness/Growth Potential Analysis
11.10.1. By Country
11.10.2. By Product Type
11.10.3. By Application
11.10.4. By Sales Channel
11.11. Europe Deep Learning System Demand Share, 2019-2026
12. Asia Pacific Deep Learning System Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific Deep Learning System Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific Deep Learning System Market Size and Volume Forecast by Application
12.4.1. Consumer
12.4.2. Aerospace, Military & Defense
12.4.3. Automotive
12.4.4. Industrial
12.4.5. Medical
12.4.6. Others
12.5. Basis Point Share (BPS) Analysis by Application
12.6. Y-o-Y Growth Projections by Application
12.7. Asia Pacific Deep Learning System Market Size and Volume Forecast by Type
12.7.1. GPUs
12.7.2. CPUs
12.7.3. ASICs
12.7.4. FPGAs
12.7.5. Others
12.8. Basis Point Share (BPS) Analysis by Type
12.9. Y-o-Y Growth Projections by Type
12.10. Market Attractiveness/Growth Potential Analysis
12.10.1. By Country
12.10.2. By Product Type
12.10.3. By Application
12.10.4. By Sales Channel
12.11. Asia Pacific Deep Learning System Demand Share, 2019-2026
13. Middle East & Africa Deep Learning System Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Asia Pacific Average Pricing Analysis
13.2. Middle East & Africa Deep Learning System Market Size and Volume Forecast by Country
13.2.1. Saudi Arabia
13.2.2. South Africa
13.2.3. UAE
13.2.4. Rest of Middle East & Africa (MEA)
13.3. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa Deep Learning System Market Size and Volume Forecast by Application
13.4.1. Consumer
13.4.2. Aerospace, Military & Defense
13.4.3. Automotive
13.4.4. Industrial
13.4.5. Medical
13.4.6. Others
13.5. Basis Point Share (BPS) Analysis by Application
13.6. Y-o-Y Growth Projections by Application
13.7. Middle East & Africa Deep Learning System Market Size and Volume Forecast by Type
13.7.1. GPUs
13.7.2. CPUs
13.7.3. ASICs
13.7.4. FPGAs
13.7.5. Others
13.8. Basis Point Share (BPS) Analysis by Type
13.9. Y-o-Y Growth Projections by Type
13.10. Market Attractiveness/Growth Potential Analysis
13.10.1. By Country
13.10.2. By Product Type
13.10.3. By Application
13.10.4. By Sales Channel
13.11. Middle East & Africa Deep Learning System Demand Share, 2019-2026
14. Competition Landscape
14.1. Global Deep Learning System Market: Market Share Analysis
14.2. Deep Learning System Distributors and Customers
14.3. Deep Learning System Market: Competitive Dashboard
14.4. Company Profiles (Details Overview, Financials, Developments, Strategy)
14.4.1. NVIDIA
14.4.1.1. Overview
14.4.1.2. Financials
14.4.1.3. Developments
14.4.1.4. Strategic Outlook
14.4.2. Intel
14.4.2.1. Overview
14.4.2.2. Financials
14.4.2.3. Developments
14.4.2.4. Strategic Outlook
14.4.3. IBM
14.4.3.1. Overview
14.4.3.2. Financials
14.4.3.3. Developments
14.4.3.4. Strategic Outlook
14.4.4. Qualcomm
14.4.4.1. Overview
14.4.4.2. Financials
14.4.4.3. Developments
14.4.4.4. Strategic Outlook
14.4.5. CEVA
14.4.5.1. Overview
14.4.5.2. Financials
14.4.5.3. Developments
14.4.5.4. Strategic Outlook
14.4.6. KnuEdge
14.4.6.1. Overview
14.4.6.2. Financials
14.4.6.3. Developments
14.4.6.4. Strategic Outlook
14.4.7. AMD
14.4.7.1. Overview
14.4.7.2. Financials
14.4.7.3. Developments
14.4.7.4. Strategic Outlook
14.4.8. Xilinx
14.4.8.1. Overview
14.4.8.2. Financials
14.4.8.3. Developments
14.4.8.4. Strategic Outlook
14.4.9. ARM
14.4.9.1. Overview
14.4.9.2. Financials
14.4.9.3. Developments
14.4.9.4. Strategic Outlook
14.4.10. Google
14.4.10.1. Overview
14.4.10.2. Financials
14.4.10.3. Developments
14.4.10.4. Strategic Outlook
14.4.11. Graphcore
14.4.11.1. Overview
14.4.11.2. Financials
14.4.11.3. Developments
14.4.11.4. Strategic Outlook
14.4.12. TeraDeep
14.4.12.1. Overview
14.4.12.2. Financials
14.4.12.3. Developments
14.4.12.4. Strategic Outlook
14.4.13. Wave Computing
14.4.13.1. Overview
14.4.13.2. Financials
14.4.13.3. Developments
14.4.13.4. Strategic Outlook
14.4.14. BrainChip
14.4.14.1. Overview
14.4.14.2. Financials
14.4.14.3. Developments
14.4.14.4. Strategic Outlook
14.4.15. COMPANY 15
14.4.15.1. Overview
14.4.15.2. Financials
14.4.15.3. Developments
14.4.15.4. Strategic Outlook
14.4.16. COMPANY 16
14.4.16.1. Overview
14.4.16.2. Financials
14.4.16.3. Developments
14.4.16.4. Strategic Outlook
14.4.17. COMPANY 17
14.4.17.1. Overview
14.4.17.2. Financials
14.4.17.3. Developments
14.4.17.4. Strategic Outlook
14.4.18. COMPANY 18
14.4.18.1. Overview
14.4.18.2. Financials
14.4.18.3. Developments
14.4.18.4. Strategic Outlook
14.4.19. COMPANY 19
14.4.19.1. Overview
14.4.19.2. Financials
14.4.19.3. Developments
14.4.19.4. Strategic Outlook
14.4.20. COMPANY 20
14.4.20.1. Overview
14.4.20.2. Financials
14.4.20.3. Developments
14.4.20.4. Strategic Outlook
