Global Deep Learning Chipset Market Research Report, Competitive, Technology and Forecast Analysis 2025-2032
Description
Market Overview
According to DIResearch＇s in-depth investigation and research, the global Deep Learning Chipset market size will reach 8,475.47 Million USD in 2025 and is projected to reach 57,445.58 Million USD by 2032, with a CAGR of 31.44% (2025-2032). Notably, the China Deep Learning Chipset market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
A deep learning chipset, also known as an AI (Artificial Intelligence) chipset or neural network processor, is a specialized hardware component designed to accelerate the execution of deep learning algorithms and artificial neural networks. Deep learning chipsets are engineered to handle the complex mathematical calculations and large-scale data processing required for training and inference in deep learning models. These chipsets are optimized to perform operations like matrix multiplications, convolutions, and activation functions with high efficiency, speed, and parallel processing capabilities. They are commonly used in various AI applications, such as computer vision, natural language processing, speech recognition, and autonomous vehicles. Deep learning chipsets enable faster and more power-efficient execution of AI tasks, reducing the reliance on general-purpose processors and enhancing the performance of AI-powered devices and applications. The development of specialized hardware for deep learning has been a crucial factor in the advancement and widespread adoption of artificial intelligence technologies across diverse industries.
The major global manufacturers of Deep Learning Chipset include NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore, TeraDeep, Wave Computing, BrainChip, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Deep Learning Chipset. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Deep Learning Chipset market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Deep Learning Chipset market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Deep Learning Chipset industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Manufacturers of Deep Learning Chipset Include:
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
Deep Learning Chipset Product Segment Include:
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Deep Learning Chipset Product Application Include:
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Deep Learning Chipset Industry PESTEL Analysis
Chapter 3: Global Deep Learning Chipset Industry Porter's Five Forces Analysis
Chapter 4: Global Deep Learning Chipset Major Regional Market Size (Sales, Revenue, Price) and Forecast Analysis
Chapter 5: Global Deep Learning Chipset Competitive Analysis of Key Manufacturers (Sales, Revenue, Market Share, Price, Regional Distribution and Industry Concentration)
Chapter 6: Global Deep Learning Chipset Sales, Revenue, Price and Forecast by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Sales, Revenue, Price and Gross Margin)
Chapter 8: Industrial Chain Analysis, Deep Learning Chipset Different Application Market Analysis (Sales and Revenue), Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
According to DIResearch＇s in-depth investigation and research, the global Deep Learning Chipset market size will reach 8,475.47 Million USD in 2025 and is projected to reach 57,445.58 Million USD by 2032, with a CAGR of 31.44% (2025-2032). Notably, the China Deep Learning Chipset market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
A deep learning chipset, also known as an AI (Artificial Intelligence) chipset or neural network processor, is a specialized hardware component designed to accelerate the execution of deep learning algorithms and artificial neural networks. Deep learning chipsets are engineered to handle the complex mathematical calculations and large-scale data processing required for training and inference in deep learning models. These chipsets are optimized to perform operations like matrix multiplications, convolutions, and activation functions with high efficiency, speed, and parallel processing capabilities. They are commonly used in various AI applications, such as computer vision, natural language processing, speech recognition, and autonomous vehicles. Deep learning chipsets enable faster and more power-efficient execution of AI tasks, reducing the reliance on general-purpose processors and enhancing the performance of AI-powered devices and applications. The development of specialized hardware for deep learning has been a crucial factor in the advancement and widespread adoption of artificial intelligence technologies across diverse industries.
The major global manufacturers of Deep Learning Chipset include NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore, TeraDeep, Wave Computing, BrainChip, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Deep Learning Chipset. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Deep Learning Chipset market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Deep Learning Chipset market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Deep Learning Chipset industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Manufacturers of Deep Learning Chipset Include:
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Graphcore
TeraDeep
Wave Computing
BrainChip
Deep Learning Chipset Product Segment Include:
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Deep Learning Chipset Product Application Include:
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Deep Learning Chipset Industry PESTEL Analysis
Chapter 3: Global Deep Learning Chipset Industry Porter's Five Forces Analysis
Chapter 4: Global Deep Learning Chipset Major Regional Market Size (Sales, Revenue, Price) and Forecast Analysis
Chapter 5: Global Deep Learning Chipset Competitive Analysis of Key Manufacturers (Sales, Revenue, Market Share, Price, Regional Distribution and Industry Concentration)
Chapter 6: Global Deep Learning Chipset Sales, Revenue, Price and Forecast by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Sales, Revenue, Price and Gross Margin)
Chapter 8: Industrial Chain Analysis, Deep Learning Chipset Different Application Market Analysis (Sales and Revenue), Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
Table of Contents
165 Pages
- 1 Deep Learning Chipset Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 Deep Learning Chipset Product by Type
- 1.2.1 Graphics Processing Units (GPUs)
- 1.2.2 Central Processing Units (CPUs)
- 1.2.3 Application Specific Integrated Circuits (ASICs)
- 1.2.4 Field Programmable Gate Arrays (FPGAs)
- 1.2.5 Others
- 1.3 Deep Learning Chipset Product by Application
- 1.3.1 Consumer
- 1.3.2 Aerospace, Military & Defense
- 1.3.3 Automotive
- 1.3.4 Industrial
- 1.3.5 Medical
- 1.3.6 Others
- 1.4 Global Deep Learning Chipset Market Revenue and Sales Analysis
- 1.4.1 Global Deep Learning Chipset Revenue Market Size Analysis (2020-2032)
- 1.4.2 Global Deep Learning Chipset Sales Market Size Analysis (2020-2032)
- 1.4.3 Global Deep Learning Chipset Market Sales Price Trend Analysis (2020-2032)
- 1.5 Deep Learning Chipset Market Development Status and Trends
- 1.5.1 Deep Learning Chipset Industry Development Status Analysis
- 1.5.2 Deep Learning Chipset Industry Development Trends Analysis
- 2 Deep Learning Chipset Market PESTEL Analysis
- 2.1 Political Factors Analysis
- 2.2 Economic Factors Analysis
- 2.3 Social Factors Analysis
- 2.4 Technological Factors Analysis
- 2.5 Environmental Factors Analysis
- 2.6 Legal Factors Analysis
- 3 Deep Learning Chipset Market Porter's Five Forces Analysis
- 3.1 Competitive Rivalry
- 3.2 Threat of New Entrants
- 3.3 Bargaining Power of Suppliers
- 3.4 Bargaining Power of Buyers
- 3.5 Threat of Substitutes
- 4 Global Deep Learning Chipset Market Analysis by Country
- 4.1 Global Deep Learning Chipset Market Size Analysis by Country: 2024 VS 2025 VS 2032
- 4.1.1 Global Deep Learning Chipset Revenue and Market Share by Country (2020-2025)
- 4.1.2 Global Deep Learning Chipset Revenue and Market Share Forecast by Country (2026-2032)
- 4.2 Global Deep Learning Chipset Sales Analysis by Country: 2024 VS 2025 VS 2032
- 4.2.1 Global Deep Learning Chipset Sales and Market Share by Country (2020-2025)
- 4.2.2 Global Deep Learning Chipset Sales and Market Share Forecast by Country (2026-2032)
- 4.3 United States Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 4.4 Germany Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 4.5 Japan Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 4.6 China Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 4.7 France Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 4.8 U.K. Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 4.9 South Korea Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 4.10 Canada Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 4.11 Italy Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 4.12 Russia Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 4.13 Mexico Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 4.14 Brazil Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 4.15 India Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 4.16 Vietnam Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 4.17 Thailand Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 4.18 South Africa Deep Learning Chipset Market Sales, Revenue and Growth Rate (2020-2032)
- 5 Competition by Manufacturers
- 5.1 Global Deep Learning Chipset Market Sales, Revenue and Sales Price by Key Manufacturers (2021-2025)
- 5.1.1 Global Deep Learning Chipset Market Sales by Key Manufacturers (2021-2025)
- 5.1.2 Global Deep Learning Chipset Market Revenue by Key Manufacturers (2021-2025)
- 5.1.3 Global Deep Learning Chipset Average Sales Price by Manufacturers (2021-2025)
- 5.2 Deep Learning Chipset Competitive Landscape Analysis and Market Dynamic
- 5.2.1 Deep Learning Chipset Competitive Landscape Analysis
- 5.2.2 Global Key Manufacturers Headquarter and Key Area Sales
- 5.2.3 Market Dynamic
- 6 Deep Learning Chipset Market Analysis by Type
- 6.1 Global Deep Learning Chipset Market Revenue Analysis by Type
- 6.1.1 Global Deep Learning Chipset Market Size Analysis by Type: 2024 & 2025 & 2032
- 6.1.2 Global Deep Learning Chipset Revenue and Forecast Analysis by Type (2020-2032)
- 6.2 Global Deep Learning Chipset Market Sales and Forecast Analysis by Type (2020-2032)
- 6.3 Global Deep Learning Chipset Sales Price Trend Analysis by Type (2020-2032)
- 7 Key Companies Analysis
- 7.1 NVIDIA
- 7.1.1 NVIDIA Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.1.2 NVIDIA Deep Learning Chipset Product Portfolio
- 7.1.3 NVIDIA Deep Learning Chipset Market Data Analysis (Revenue, Sales, Price, Gross Margin and Market Share) (2021-2025)
- 7.2 Intel
- 7.2.1 Intel Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.2.2 Intel Deep Learning Chipset Product Portfolio
- 7.2.3 Intel Deep Learning Chipset Market Data Analysis (Revenue, Sales, Price, Gross Margin and Market Share) (2021-2025)
- 7.3 IBM
- 7.3.1 IBM Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.3.2 IBM Deep Learning Chipset Product Portfolio
- 7.3.3 IBM Deep Learning Chipset Market Data Analysis (Revenue, Sales, Price, Gross Margin and Market Share) (2021-2025)
- 7.4 Qualcomm
- 7.4.1 Qualcomm Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.4.2 Qualcomm Deep Learning Chipset Product Portfolio
- 7.4.3 Qualcomm Deep Learning Chipset Market Data Analysis (Revenue, Sales, Price, Gross Margin and Market Share) (2021-2025)
- 7.5 CEVA
- 7.5.1 CEVA Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.5.2 CEVA Deep Learning Chipset Product Portfolio
- 7.5.3 CEVA Deep Learning Chipset Market Data Analysis (Revenue, Sales, Price, Gross Margin and Market Share) (2021-2025)
- 7.6 KnuEdge
- 7.6.1 KnuEdge Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.6.2 KnuEdge Deep Learning Chipset Product Portfolio
- 7.6.3 KnuEdge Deep Learning Chipset Market Data Analysis (Revenue, Sales, Price, Gross Margin and Market Share) (2021-2025)
- 7.7 AMD
- 7.7.1 AMD Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.7.2 AMD Deep Learning Chipset Product Portfolio
- 7.7.3 AMD Deep Learning Chipset Market Data Analysis (Revenue, Sales, Price, Gross Margin and Market Share) (2021-2025)
- 7.8 Xilinx
- 7.8.1 Xilinx Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.8.2 Xilinx Deep Learning Chipset Product Portfolio
- 7.8.3 Xilinx Deep Learning Chipset Market Data Analysis (Revenue, Sales, Price, Gross Margin and Market Share) (2021-2025)
- 7.9 ARM
- 7.9.1 ARM Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.9.2 ARM Deep Learning Chipset Product Portfolio
- 7.9.3 ARM Deep Learning Chipset Market Data Analysis (Revenue, Sales, Price, Gross Margin and Market Share) (2021-2025)
- 7.10 Google
- 7.10.1 Google Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.10.2 Google Deep Learning Chipset Product Portfolio
- 7.10.3 Google Deep Learning Chipset Market Data Analysis (Revenue, Sales, Price, Gross Margin and Market Share) (2021-202
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