Market Overview:
The global deep learning chipset market is expected to grow from USD 1.02 billion in 2018 to USD 7.96 billion by 2030, at a CAGR of 27.5% during the forecast period. The growth of the market can be attributed to the increasing demand for deep learning chipsets in consumer, aerospace, military & defense, automotive, industrial, medical and other applications. Based on type, the global deep learning chipset market is segmented into GPUs, CPUssASICsFPGAs and others.
Product Definition:
Deep Learning Chipset is a specific type of chipset that is specifically designed for deep learning tasks. These chipsets are important because they can greatly improve the performance of deep learning applications.
Graphics Processing Units (GPUs):
The Graphics Processing Unit (GPU) is a specialized microchip that is used for processing and executing commands that are directed by the central processor in the computer. GPUs are incorporated in mobile devices, such as smartphones, tablets, and personal computers. The growing demand for visual effects in movies & video games industry has led to an increase in GPU shipments; this factor is expected to drive growth over the forecast period.
Central Processing Units (CPUs):
Central Processing Unit (CPU) is an electronic component that performs a series of instructions stored in the memory to execute any software. In present time, there are two types of Central Processing Units available in the market: Reduced Instruction Set Computer (RISC) and Complex Instruction Set Computer (CISC). RISC processors have fewer features but they are very efficient at performing simple tasks such as data processing and System on Chip(SoC) design.
Application Insights:
The consumer application segment accounted for the largest market share in 2017 and is expected to continue its dominance over the forecast period. The growing adoption of deep learning chipsets in smartphones, social media platforms, search engines, self-driving cars and virtual reality is contributing to its large share. Moreover, increasing demand for smart devices with high performance capabilities is driving their demand.
The aerospace & defense application segment has shown promising growth potential over the recent past and this trend is expected to continue through 2018 till 2030.
Regional Analysis:
The market in North America is expected to grow at a significant rate over the forecast period owing to the presence of key companies such as NVIDIA Corporation; Qualcomm Technologies, Inc.; and Intel Corporation. The U.S.-based companies are engaged in extensive R&D activities for developing advanced deep learning applications on GPUs and CPUs for various industries. This has resulted in increased adoption of deep learning chipsets across several verticals including consumer electronics, automotive, and others.
Asia Pacific is estimated to be the fastest-growing region from 2018 to 2030 due its increasing number of data centers that need high performance computing platforms with low costs coupled with growing demand for AI-enabled services from various end users such as enterprises, telecom providers, governments & military organizations). These factors have led major players operating large scale data centers (colocation facilities) across countries such as China and India adopt these chipsets for provisioning additional processing power along with other technological benefits offered by them (such as energy efficiency).
Growth Factors:
- Increasing demand for deep learning across industries
- Growing number of AI applications requiring deep learning capabilities
- Rapid increase in data generation and its complexity
- Advances in semiconductor technology and design that enable faster, more efficient deep learning chipsets 5. Proliferation of artificial intelligence platforms and services that make it easier for organizations to adopt deep learning
Scope Of The Report
Report Attributes
Report Details
Report Title
Deep Learning Chipset Market Research Report
By Type
Graphics Processing Units (GPUs), Central Processing Units (CPUs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (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
241
Number of Tables & Figures
169
Customization Available
Yes, the report can be customized as per your need.
Global Deep Learning Chipset Market Report Segments:
The global Deep Learning Chipset market is segmented on the basis of:
Types
Graphics Processing Units (GPUs), Central Processing Units (CPUs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (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
- Graphcore
- TeraDeep
- Wave Computing
- BrainChip
Highlights of The Deep Learning Chipset 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:
- Graphics Processing Units (GPUs)
- Central Processing Units (CPUs)
- Application Specific Integrated Circuits (ASICs)
- Field Programmable Gate Arrays (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 Chipset 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.
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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?
Deep Learning Chipset is a chipset that specializes in deep learning.
Some of the major companies in the deep learning chipset market are NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore, TeraDeep, Wave Computing, BrainChip.
The deep learning chipset market is expected to register a CAGR of 27.5%.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Deep Learning Chipset 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 Chipset 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 Chipset Market - Supply Chain
4.5. Global Deep Learning Chipset Market Forecast
4.5.1. Deep Learning Chipset Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Deep Learning Chipset Market Size (000 Units) and Y-o-Y Growth
4.5.3. Deep Learning Chipset Market Absolute $ Opportunity
5. Global Deep Learning Chipset 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 Chipset Market Size and Volume Forecast by Type
5.3.1. Graphics Processing Units (GPUs)
5.3.2. Central Processing Units (CPUs)Specific Integrated Circuits (ASICs)
5.3.4. Field Programmable Gate Arrays (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 Chipset 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 Chipset 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 Chipset 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 Chipset 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 Chipset 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 Chipset 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 Chipset Demand Share Forecast, 2019-2026
9. North America Deep Learning Chipset 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 Chipset 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 Chipset 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 Chipset Market Size and Volume Forecast by Type
9.7.1. Graphics Processing Units (GPUs)
9.7.2. Central Processing Units (CPUs)Specific Integrated Circuits (ASICs)
9.7.4. Field Programmable Gate Arrays (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 Chipset Demand Share Forecast, 2019-2026
10. Latin America Deep Learning Chipset 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 Chipset 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 Chipset 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 Chipset Market Size and Volume Forecast by Type
10.7.1. Graphics Processing Units (GPUs)
10.7.2. Central Processing Units (CPUs)
Specific Integrated Circuits (ASICs)
10.7.4. Field Programmable Gate Arrays (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 Chipset Demand Share Forecast, 2019-2026
11. Europe Deep Learning Chipset 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 Chipset 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 Chipset 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 Chipset Market Size and Volume Forecast by Type
11.7.1. Graphics Processing Units (GPU)
11.7.2. Central Processing Units (CPUs)
Specific Integrated Circuits (ASICs)
11.7.4. Field Programmable Gate Arrays (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 Chipset Demand Share, 2019-2026
12. Asia Pacific Deep Learning Chipset 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 Chipset 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 Chipset 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 Chipset Market Size and Volume Forecast by Type
12.7.1. Graphics Processing Units (GPUs)
12.7.2. Central Processing Units (CPUs)
Specific Integrated Circuits (ASICs)
12.7.4. Field Programmable Gate Arrays (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 Chipset Demand Share, 2019-2026
13. Middle East & Africa Deep Learning Chipset 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 Chipset 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 Chipset 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 Chipset Market Size and Volume Forecast by Type
13.7.1. Graphics Processing Units (GPUs)
13.7.2. Central Processing Units (CPUs)
Specific Integrated Circuits (ASICs)
13.7.4. Field Programmable Gate Arrays (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 Chipset Demand Share, 2019-2026
14. Competition Landscape
14.1. Global Deep Learning Chipset Market: Market Share Analysis
14.2. Deep Learning Chipset Distributors and Customers
14.3. Deep Learning Chipset 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