APO RESEARCH · REPORT
Deep Learning Chipset
Deep learning technology is driving the evolution of artificial intelligence (AI) and has become one of the hottest topics of discussion within the technology world and beyond. Given the rate at which deep learning is progressing, some industry observers are predicting it will bring about a doomsday scenario, while others strive for a time when the technology can transform business processes and create new business models through scalable, more efficient automation and predictive capabilities. The current market climate is ripe for innovation in hardware in general, and chipsets more specifically.In the industry, NVIDIA profits most in 2016 and recent years, while Intel and IBM ranked 2 and 3.The market share of them is 26.72%, 20.57% and 12.56% in 2016.The gap of market share is keep on enlarged due to different strategy.
Product & engineering
Understand the product.
Deep learning technology is driving the evolution of artificial intelligence (AI) and has become one of the hottest topics of discussion within the technology world and beyond. Given the rate at which deep learning is progressing, some industry observers are predicting it will bring about a doomsday scenario, while others strive for a time when the technology can transform business processes and create new business models through scalable, more efficient automation and predictive capabilities. The current market climate is ripe for innovation in hardware in general, and chipsets more specifically.In the industry, NVIDIA profits most in 2016 and recent years, while Intel and IBM ranked 2 and 3.The market share of them is 26.72%, 20.57% and 12.56% in 2016.The gap of market share is keep on enlarged due to different strategy.
Selected research
Market Structure
Global Deep Learning Chipset Market by Size, by Type, by Application, by Region, History and Forecast 2021-2032
Market perspective
Deep learning technology is driving the evolution of artificial intelligence (AI) and has become one of the hottest topics of discussion within the technology world and beyond. Given the rate at which deep learning is progressing, some industry observers are predicting it will bring about a doomsday scenario, while others strive for a time when the technology can transform business processes and create new business models through scalable, more efficient automation and predictive capabilities. The current market climate is ripe for innovation in hardware in general, and chipsets more specifically.In the industry, NVIDIA profits most in 2016 and recent years, while Intel and IBM ranked 2 and 3.The market share of them is 26.72%, 20.57% and 12.56% in 2016.The gap of market share is keep on enlarged due to different strategy.
NVIDIA, Intel and IBM are the leaders of the Deep Learning Chipset industry, which take about 50% market share. United States is the major region of the global market, which takes about 70% market share.
The report provides an overview of the global Deep Learning Chipset market in terms of capacity, output, revenue, and price, analyzing global market trends using historical revenue and sales data for 2021-2025, estimates for 2026, and projected CAGRs through 2032.
Read the full market overview
The study covers key producers of Deep Learning Chipset and consumption patterns in major regions and countries, assesses future market potential, and highlights priority regions and countries for segmenting the market into sub-sectors, with country-specific market value data for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, the Middle East, Africa, and other countries.
The report also presents Deep Learning Chipset sales, revenue, market share, and industry ranking for the main manufacturers for 2021-2026, identifies the major stakeholders in the global market, and analyzes their competitive landscape and market positioning based on recent developments and segmental revenues.
In addition, the report analyzes segment data by type and application—covering sales, revenue, and price—for 2021-2032, and evaluates and forecasts the Deep Learning Chipset market size, projected growth trends, production technologies, key applications, and end-use industries.
Deep Learning Chipset Segment by Company
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Graphcore
TeraDeep
Wave Computing
BrainChip
Deep Learning Chipset Segment by Type
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Deep Learning Chipset Segment by Application
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
Deep Learning Chipset Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global status and future forecast, involving, production, value, consumption, growth rate (CAGR), market share, historical and forecast.
2. To present the key manufacturers, capacity, production, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Deep Learning Chipset market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Deep Learning Chipset and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Deep Learning Chipset.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Provides an overview of the Deep Learning Chipset market, including product definition, global market growth prospects, production value, capacity, and average price forecasts (2021-2032).
Chapter 2: Analysis key trends, drivers, challenges, and opportunities within the global Deep Learning Chipset industry.
Chapter 3: Detailed analysis of Deep Learning Chipset market competition landscape. Including Deep Learning Chipset manufacturers' output value, output and average price from 2021 to 2026, as well as competition analysis indicators such as origin, product type, application, merger and acquisition information, etc.
Chapter 4: 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 5: 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 6: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product production/output, value, price, gross margin, product introduction, recent development, etc.
Chapter 7: Production/Production Value of Deep Learning Chipset by region. It provides a quantitative analysis of the market size and development potential of each region in the next six years.
Chapter 8: Consumption of Deep Learning Chipset in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and production of each country in the world.
Chapter 9: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 10: Concluding Insights of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Graphics Processing Units (GPUs)
- Central Processing Units (CPUs)
- Application Specific Integrated Circuits (ASICs)
- Field Programmable Gate Arrays (FPGAs)
- Others
Applications
- Consumer
- Aerospace, Military & Defense
- Automotive
- Industrial
- Medical
- Others
Companies covered
- NVIDIA
- Intel
- IBM
- Qualcomm
- CEVA
- KnuEdge
- AMD
- Xilinx
- ARM
- Graphcore
- TeraDeep
- Wave Computing
- BrainChip
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 Global Market Growth Prospects
- 1.2.1 Global Deep Learning Chipset Production Value Estimates and Forecasts (2021-2032)
- 1.2.2 Global Deep Learning Chipset Production Capacity Estimates and Forecasts (2021-2032)
- 1.2.3 Global Deep Learning Chipset Production Estimates and Forecasts (2021-2032)
- 1.2.4 Global Deep Learning Chipset Market Average Price (2021-2032)
- 1.3 Assumptions and Limitations
- 1.4 Study Goals and Objectives
2 Global Deep Learning Chipset Market Dynamics
- 2.1 Deep Learning Chipset Industry Trends
- 2.2 Deep Learning Chipset Industry Drivers
- 2.3 Deep Learning Chipset Industry Opportunities and Challenges
- 2.4 Deep Learning Chipset Industry Restraints
3 Deep Learning Chipset Market by Manufacturers
- 3.1 Global Deep Learning Chipset Production Value by Manufacturers (2021-2026)
- 3.2 Global Deep Learning Chipset Production by Manufacturers (2021-2026)
- 3.3 Global Deep Learning Chipset Average Price by Manufacturers (2021-2026)
- 3.4 Global Deep Learning Chipset Industry Manufacturers Ranking, 2024 VS 2025 VS 2026
- 3.5 Global Deep Learning Chipset Key Manufacturers Manufacturing Sites & Headquarters
- 3.6 Global Deep Learning Chipset Manufacturers, Product Type & Application
- 3.7 Global Deep Learning Chipset Manufacturers Established Date
- 3.8 Market Competitive Analysis
- 3.8.1 Global Deep Learning Chipset Market CR5 and HHI
- 3.8.2 Global Top 5 and 10 Deep Learning Chipset Players Market Share by Production Value in 2025
- 3.8.3 2025 Deep Learning Chipset Tier 1, Tier 2, and Tier 3
4 Deep Learning Chipset Market by Type
- 4.1 Deep Learning Chipset Type Introduction
- 4.1.1 Graphics Processing Units (GPUs)
- 4.1.2 Central Processing Units (CPUs)
- 4.1.3 Application Specific Integrated Circuits (ASICs)
- 4.1.4 Field Programmable Gate Arrays (FPGAs)
- 4.1.5 Others
- 4.2 Global Deep Learning Chipset Production by Type
- 4.2.1 Global Deep Learning Chipset Production by Type (2021 VS 2025 VS 2032)
- 4.2.2 Global Deep Learning Chipset Production by Type (2021-2032)
- 4.2.3 Global Deep Learning Chipset Production Market Share by Type (2021-2032)
- 4.3 Global Deep Learning Chipset Production Value by Type
- 4.3.1 Global Deep Learning Chipset Production Value by Type (2021 VS 2025 VS 2032)
- 4.3.2 Global Deep Learning Chipset Production Value by Type (2021-2032)
- 4.3.3 Global Deep Learning Chipset Production Value Market Share by Type (2021-2032)
5 Deep Learning Chipset Market by Application
- 5.1 Deep Learning Chipset Application Introduction
- 5.1.1 Consumer
- 5.1.2 Aerospace, Military & Defense
- 5.1.3 Automotive
- 5.1.4 Industrial
- 5.1.5 Medical
- 5.1.6 Others
- 5.2 Global Deep Learning Chipset Production by Application
- 5.2.1 Global Deep Learning Chipset Production by Application (2021 VS 2025 VS 2032)
- 5.2.2 Global Deep Learning Chipset Production by Application (2021-2032)
- 5.2.3 Global Deep Learning Chipset Production Market Share by Application (2021-2032)
- 5.3 Global Deep Learning Chipset Production Value by Application
- 5.3.1 Global Deep Learning Chipset Production Value by Application (2021 VS 2025 VS 2032)
- 5.3.2 Global Deep Learning Chipset Production Value by Application (2021-2032)
- 5.3.3 Global Deep Learning Chipset Production Value Market Share by Application (2021-2032)
6 Company Profiles
- 6.1 NVIDIA
- 6.1.1 NVIDIA Company Information
- 6.1.2 NVIDIA Business Overview
- 6.1.3 NVIDIA Deep Learning Chipset Production, Value and Gross Margin (2021-2026)
- 6.1.4 NVIDIA Deep Learning Chipset Product Portfolio
- 6.1.5 NVIDIA Recent Developments
- 6.2 Intel
- 6.2.1 Intel Company Information
- 6.2.2 Intel Business Overview
- 6.2.3 Intel Deep Learning Chipset Production, Value and Gross Margin (2021-2026)
- 6.2.4 Intel Deep Learning Chipset Product Portfolio
- 6.2.5 Intel Recent Developments
- 6.3 IBM
- 6.3.1 IBM Company Information
- 6.3.2 IBM Business Overview
- 6.3.3 IBM Deep Learning Chipset Production, Value and Gross Margin (2021-2026)
- 6.3.4 IBM Deep Learning Chipset Product Portfolio
- 6.3.5 IBM Recent Developments
- 6.4 Qualcomm
- 6.4.1 Qualcomm Company Information
- 6.4.2 Qualcomm Business Overview
- 6.4.3 Qualcomm Deep Learning Chipset Production, Value and Gross Margin (2021-2026)
- 6.4.4 Qualcomm Deep Learning Chipset Product Portfolio
- 6.4.5 Qualcomm Recent Developments
- 6.5 CEVA
- 6.5.1 CEVA Company Information
- 6.5.2 CEVA Business Overview
- 6.5.3 CEVA Deep Learning Chipset Production, Value and Gross Margin (2021-2026)
- 6.5.4 CEVA Deep Learning Chipset Product Portfolio
- 6.5.5 CEVA Recent Developments
- 6.6 KnuEdge
- 6.6.1 KnuEdge Company Information
- 6.6.2 KnuEdge Business Overview
- 6.6.3 KnuEdge Deep Learning Chipset Production, Value and Gross Margin (2021-2026)
- 6.6.4 KnuEdge Deep Learning Chipset Product Portfolio
- 6.6.5 KnuEdge Recent Developments
- 6.7 AMD
- 6.7.1 AMD Company Information
- 6.7.2 AMD Business Overview
- 6.7.3 AMD Deep Learning Chipset Production, Value and Gross Margin (2021-2026)
- 6.7.4 AMD Deep Learning Chipset Product Portfolio
- 6.7.5 AMD Recent Developments
- 6.8 Xilinx
- 6.8.1 Xilinx Company Information
- 6.8.2 Xilinx Business Overview
- 6.8.3 Xilinx Deep Learning Chipset Production, Value and Gross Margin (2021-2026)
- 6.8.4 Xilinx Deep Learning Chipset Product Portfolio
- 6.8.5 Xilinx Recent Developments
- 6.9 ARM
- 6.9.1 ARM Company Information
- 6.9.2 ARM Business Overview
- 6.9.3 ARM Deep Learning Chipset Production, Value and Gross Margin (2021-2026)
- 6.9.4 ARM Deep Learning Chipset Product Portfolio
- 6.9.5 ARM Recent Developments
- 6.10 Google
- 6.10.1 Google Company Information
- 6.10.2 Google Business Overview
- 6.10.3 Google Deep Learning Chipset Production, Value and Gross Margin (2021-2026)
- 6.10.4 Google Deep Learning Chipset Product Portfolio
- 6.10.5 Google Recent Developments
- 6.11 Graphcore
- 6.11.1 Graphcore Company Information
- 6.11.2 Graphcore Business Overview
- 6.11.3 Graphcore Deep Learning Chipset Production, Value and Gross Margin (2021-2026)
- 6.11.4 Graphcore Deep Learning Chipset Product Portfolio
- 6.11.5 Graphcore Recent Developments
- 6.12 TeraDeep
- 6.12.1 TeraDeep Company Information
- 6.12.2 TeraDeep Business Overview
- 6.12.3 TeraDeep Deep Learning Chipset Production, Value and Gross Margin (2021-2026)
- 6.12.4 TeraDeep Deep Learning Chipset Product Portfolio
- 6.12.5 TeraDeep Recent Developments
- 6.13 Wave Computing
- 6.13.1 Wave Computing Company Information
- 6.13.2 Wave Computing Business Overview
- 6.13.3 Wave Computing Deep Learning Chipset Production, Value and Gross Margin (2021-2026)
- 6.13.4 Wave Computing Deep Learning Chipset Product Portfolio
- 6.13.5 Wave Computing Recent Developments
- 6.14 BrainChip
- 6.14.1 BrainChip Company Information
- 6.14.2 BrainChip Business Overview
- 6.14.3 BrainChip Deep Learning Chipset Production, Value and Gross Margin (2021-2026)
- 6.14.4 BrainChip Deep Learning Chipset Product Portfolio
- 6.14.5 BrainChip Recent Developments
7 Global Deep Learning Chipset Production by Region
- 7.1 Global Deep Learning Chipset Production by Region: 2021 VS 2025 VS 2032
- 7.2 Global Deep Learning Chipset Production by Region (2021-2032)
- 7.2.1 Global Deep Learning Chipset Production by Region (2021-2026)
- 7.2.2 Global Deep Learning Chipset Production Forecast by Region (2027-2032)
- 7.3 Global Deep Learning Chipset Production by Region: 2021 VS 2025 VS 2032
- 7.4 Global Deep Learning Chipset Production Value by Region (2021-2032)
- 7.4.1 Global Deep Learning Chipset Production Value by Region (2021-2026)
- 7.4.2 Global Deep Learning Chipset Production Value by Region (2027-2032)
- 7.5 Global Deep Learning Chipset Market Price Analysis by Region (2021-2032)
- 7.6 Regional Production Value Trends (2021-2032)
- 7.6.1 North America Deep Learning Chipset Production Value (2021-2032)
- 7.6.2 Europe Deep Learning Chipset Production Value (2021-2032)
- 7.6.3 Asia-Pacific Deep Learning Chipset Production Value (2021-2032)
- 7.6.4 South America Deep Learning Chipset Production Value (2021-2032)
- 7.6.5 Middle East & Africa Deep Learning Chipset Production Value (2021-2032)
8 Global Deep Learning Chipset Consumption by Region
- 8.1 Global Deep Learning Chipset Consumption by Region: 2021 VS 2025 VS 2032
- 8.2 Global Deep Learning Chipset Consumption by Region (2021-2032)
- 8.2.1 Global Deep Learning Chipset Consumption by Region (2021-2026)
- 8.2.2 Global Deep Learning Chipset Consumption by Region (2027-2032)
- 8.3 North America
- 8.3.1 North America Deep Learning Chipset Consumption Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3.2 North America Deep Learning Chipset Consumption by Country (2021-2032)
- 8.3.3 U.S.
- 8.3.4 Canada
- 8.3.5 Mexico
- 8.4 Europe
- 8.4.1 Europe Deep Learning Chipset Consumption Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.4.2 Europe Deep Learning Chipset Consumption by Country (2021-2032)
- 8.4.3 Germany
- 8.4.4 France
- 8.4.5 U.K.
- 8.4.6 Italy
- 8.4.7 Netherlands
- 8.5 Asia Pacific
- 8.5.1 Asia Pacific Deep Learning Chipset Consumption Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.5.2 Asia Pacific Deep Learning Chipset Consumption by Country (2021-2032)
- 8.5.3 China
- 8.5.4 Japan
- 8.5.5 South Korea
- 8.5.6 Southeast Asia
- 8.5.7 India
- 8.5.8 Australia
- 8.6 South America
- 8.6.1 South America Deep Learning Chipset Consumption Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.6.2 South America Deep Learning Chipset Consumption by Country (2021-2032)
- 8.6.3 Brazil
- 8.6.4 Argentina
- 8.6.5 Chile
- 8.6.6 Colombia
- 8.7 Middle East & Africa
- 8.7.1 Middle East & Africa Deep Learning Chipset Consumption Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.7.2 Middle East & Africa Deep Learning Chipset Consumption by Country (2021-2032)
- 8.7.3 Egypt
- 8.7.4 South Africa
- 8.7.5 Israel
- 8.7.6 Türkiye
- 8.7.7 GCC Countries
9 Value Chain and Sales Channels Analysis
- 9.1 Deep Learning Chipset Value Chain Analysis
- 9.1.1 Deep Learning Chipset Key Raw Materials
- 9.1.2 Raw Materials Key Suppliers
- 9.1.3 Manufacturing Cost Structure
- 9.1.4 Deep Learning Chipset Production Mode & Process
- 9.2 Deep Learning Chipset Sales Channels Analysis
- 9.2.1 Direct Comparison with Distribution Share
- 9.2.2 Deep Learning Chipset Distributors
- 9.2.3 Deep Learning Chipset Customers
10 Concluding Insights
11 Appendix
- 11.1 Reasons for Doing This Study
- 11.2 Research Methodology
- 11.3 Research Process
- 11.4 Authors List of This Report
- 11.5 Data Source
- 11.5.1 Secondary Sources
- 11.5.2 Primary Sources
- 11.6 Disclaimer
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