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
Industry Growth & Trends
Global Deep Learning Chipset Industry Growth and Trends Forecast to 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.
Report Scope
Read the full market overview
This report provides a structured, data-driven view of the global Deep Learning Chipset market, combining harmonized quantitative metrics with targeted qualitative insight to support business and growth strategy, market positioning, and capital allocation.
The Deep Learning Chipset market size, estimates, and forecasts are presented in terms of sales volume (K Units) and revenue (US$ million), with 2025 as the base year and historical and forecast data for 2021-2032. The report segments the global Deep Learning Chipset market by Type, Application, region/country, and company, provides regional market sizes at the segment level, profiles the competitive landscape and key players and their market ranks, and reviews technology trends and new product developments relevant to Deep Learning Chipset.
Key Companies & Market Share Insights
This section analyzes the strategies and performance of leading manufacturers in the global Deep Learning Chipset market, including portfolio focus, innovation and product development, mergers and acquisitions, collaborations, and geographic expansion used to sustain or enhance competitive positions. It also summarizes recent corporate developments and key financial indicators and provides global revenue, price, and sales volume data by manufacturer for 2020-2025, enabling benchmarking of scale, pricing, and market share and supporting assessment of market concentration through indicators such as CR5 and CR10.
Deep Learning Chipset Market 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
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
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: 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 2: 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 3: Detailed analysis of Deep Learning Chipset manufacturers competitive landscape, price, sales, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Sales, revenue of Deep Learning Chipset 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 5: Introduces market segments by application, market size segment for North America, Europe, Asia Pacific, South America, Middle East & Africa.
Chapter 6: 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 7, 8, 9, 10 and 11: North America, Europe, Asia Pacific, South America, Middle East & Africa, sales and revenue by country.
Chapter 12: Analysis of industrial chain, key raw materials, manufacturing cost, and market dynamics.
Chapter 13: 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 Market Size Estimates and Forecasts (2021-2032)
- 1.2.2 Global Deep Learning Chipset Sales Estimates and Forecasts (2021-2032)
- 1.3 Deep Learning Chipset Market by Type
- 1.3.1 Graphics Processing Units (GPUs)
- 1.3.2 Central Processing Units (CPUs)
- 1.3.3 Application Specific Integrated Circuits (ASICs)
- 1.3.4 Field Programmable Gate Arrays (FPGAs)
- 1.3.5 Others
- 1.4 Global Deep Learning Chipset Market Size by Type
- 1.4.1 Global Deep Learning Chipset Market Size Overview by Type (2021-2032)
- 1.4.2 Global Deep Learning Chipset Historic Market Size Review by Type (2021-2026)
- 1.4.3 Global Deep Learning Chipset Forecasted Market Size by Type (2027-2032)
- 1.5 Key Regions Market Size by Type
- 1.5.1 North America Deep Learning Chipset Sales Breakdown by Type (2021-2026)
- 1.5.2 Europe Deep Learning Chipset Sales Breakdown by Type (2021-2026)
- 1.5.3 Asia-Pacific Deep Learning Chipset Sales Breakdown by Type (2021-2026)
- 1.5.4 South America Deep Learning Chipset Sales Breakdown by Type (2021-2026)
- 1.5.5 Middle East and Africa Deep Learning Chipset Sales Breakdown by Type (2021-2026)
2 Global 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 Market Competitive Landscape by Company
- 3.1 Global Top Players by Deep Learning Chipset Revenue (2021-2026)
- 3.2 Global Top Players by Deep Learning Chipset Sales (2021-2026)
- 3.3 Global Top Players by Deep Learning Chipset Price (2021-2026)
- 3.4 Global Deep Learning Chipset Industry Company Ranking, 2024 VS 2025 VS 2026
- 3.5 Global Deep Learning Chipset Major Company Production Sites & Headquarters
- 3.6 Global Deep Learning Chipset Company, Product Type & Application
- 3.7 Global Deep Learning Chipset Company Establishment 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 Revenue in 2025
- 3.8.3 2025 Deep Learning Chipset Tier 1, Tier 2, and Tier 3
4 Deep Learning Chipset Regional Status and Outlook
- 4.1 Global Deep Learning Chipset Market Size and CAGR by Region: 2021 VS 2025 VS 2032
- 4.2 Global Deep Learning Chipset Historic Market Size by Region
- 4.2.1 Global Deep Learning Chipset Sales in Volume by Region (2021-2026)
- 4.2.2 Global Deep Learning Chipset Sales in Value by Region (2021-2026)
- 4.2.3 Global Deep Learning Chipset Sales (Volume & Value), Price and Gross Margin (2021-2026)
- 4.3 Global Deep Learning Chipset Forecasted Market Size by Region
- 4.3.1 Global Deep Learning Chipset Sales in Volume by Region (2027-2032)
- 4.3.2 Global Deep Learning Chipset Sales in Value by Region (2027-2032)
- 4.3.3 Global Deep Learning Chipset Sales (Volume & Value), Price and Gross Margin (2027-2032)
5 Deep Learning Chipset by Application
- 5.1 Deep Learning Chipset Market by Application
- 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 Market Size by Application
- 5.2.1 Global Deep Learning Chipset Market Size Overview by Application (2021-2032)
- 5.2.2 Global Deep Learning Chipset Historic Market Size Review by Application (2021-2026)
- 5.2.3 Global Deep Learning Chipset Forecasted Market Size by Application (2027-2032)
- 5.3 Key Regions Market Size by Application
- 5.3.1 North America Deep Learning Chipset Sales Breakdown by Application (2021-2026)
- 5.3.2 Europe Deep Learning Chipset Sales Breakdown by Application (2021-2026)
- 5.3.3 Asia-Pacific Deep Learning Chipset Sales Breakdown by Application (2021-2026)
- 5.3.4 South America Deep Learning Chipset Sales Breakdown by Application (2021-2026)
- 5.3.5 Middle East and Africa Deep Learning Chipset Sales Breakdown by Application (2021-2026)
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 Sales, Revenue 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 Sales, Revenue 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 Sales, Revenue 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 Sales, Revenue 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 Sales, Revenue 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 Sales, Revenue 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 Sales, Revenue 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 Sales, Revenue 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 Sales, Revenue 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 Sales, Revenue 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 Sales, Revenue 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 Sales, Revenue 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 Sales, Revenue 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 Sales, Revenue and Gross Margin (2021-2026)
- 6.14.4 BrainChip Deep Learning Chipset Product Portfolio
- 6.14.5 BrainChip Recent Developments
7 North America by Country
- 7.1 North America Deep Learning Chipset Sales by Country
- 7.1.1 North America Deep Learning Chipset Sales Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 7.1.2 North America Deep Learning Chipset Sales by Country (2021-2026)
- 7.1.3 North America Deep Learning Chipset Sales Forecast by Country (2027-2032)
- 7.2 North America Deep Learning Chipset Market Size by Country
- 7.2.1 North America Deep Learning Chipset Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 7.2.2 North America Deep Learning Chipset Market Size by Country (2021-2026)
- 7.2.3 North America Deep Learning Chipset Market Size Forecast by Country (2027-2032)
8 Europe by Country
- 8.1 Europe Deep Learning Chipset Sales by Country
- 8.1.1 Europe Deep Learning Chipset Sales Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 8.1.2 Europe Deep Learning Chipset Sales by Country (2021-2026)
- 8.1.3 Europe Deep Learning Chipset Sales Forecast by Country (2027-2032)
- 8.2 Europe Deep Learning Chipset Market Size by Country
- 8.2.1 Europe Deep Learning Chipset Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 8.2.2 Europe Deep Learning Chipset Market Size by Country (2021-2026)
- 8.2.3 Europe Deep Learning Chipset Market Size Forecast by Country (2027-2032)
9 Asia-Pacific by Country
- 9.1 Asia-Pacific Deep Learning Chipset Sales by Country
- 9.1.1 Asia-Pacific Deep Learning Chipset Sales Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 9.1.2 Asia-Pacific Deep Learning Chipset Sales by Country (2021-2026)
- 9.1.3 Asia-Pacific Deep Learning Chipset Sales Forecast by Country (2027-2032)
- 9.2 Asia-Pacific Deep Learning Chipset Market Size by Country
- 9.2.1 Asia-Pacific Deep Learning Chipset Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 9.2.2 Asia-Pacific Deep Learning Chipset Market Size by Country (2021-2026)
- 9.2.3 Asia-Pacific Deep Learning Chipset Market Size Forecast by Country (2027-2032)
10 South America by Country
- 10.1 South America Deep Learning Chipset Sales by Country
- 10.1.1 South America Deep Learning Chipset Sales Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 10.1.2 South America Deep Learning Chipset Sales by Country (2021-2026)
- 10.1.3 South America Deep Learning Chipset Sales Forecast by Country (2027-2032)
- 10.2 South America Deep Learning Chipset Market Size by Country
- 10.2.1 South America Deep Learning Chipset Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 10.2.2 South America Deep Learning Chipset Market Size by Country (2021-2026)
- 10.2.3 South America Deep Learning Chipset Market Size Forecast by Country (2027-2032)
11 Middle East and Africa by Country
- 11.1 Middle East and Africa Deep Learning Chipset Sales by Country
- 11.1.1 Middle East and Africa Deep Learning Chipset Sales Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 11.1.2 Middle East and Africa Deep Learning Chipset Sales by Country (2021-2026)
- 11.1.3 Middle East and Africa Deep Learning Chipset Sales Forecast by Country (2027-2032)
- 11.2 Middle East and Africa Deep Learning Chipset Market Size by Country
- 11.2.1 Middle East and Africa Deep Learning Chipset Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 11.2.2 Middle East and Africa Deep Learning Chipset Market Size by Country (2021-2026)
- 11.2.3 Middle East and Africa Deep Learning Chipset Market Size Forecast by Country (2027-2032)
12 Value Chain and Sales Channels Analysis
- 12.1 Deep Learning Chipset Value Chain Analysis
- 12.1.1 Deep Learning Chipset Key Raw Materials
- 12.1.2 Key Raw Materials Price
- 12.1.3 Raw Materials Key Suppliers
- 12.1.4 Manufacturing Cost Structure
- 12.1.5 Deep Learning Chipset Production Mode & Process
- 12.2 Deep Learning Chipset Sales Channels Analysis
- 12.2.1 Direct Comparison with Distribution Share
- 12.2.2 Deep Learning Chipset Distributors
- 12.2.3 Deep Learning Chipset Customers
13 Concluding Insights
14 Appendix
- 14.1 Reasons for Doing This Study
- 14.2 Research Methodology
- 14.3 Research Process
- 14.4 Authors List of This Report
- 14.5 Data Source
- 14.5.1 Secondary Sources
- 14.5.2 Primary Sources
- 14.6 Disclaimer
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