The global Deep Learning Chipset market size was valued at US$ 3158.7 million in 2023. With growing demand in downstream market, the Deep Learning Chipset is forecast to a readjusted size of US$ 30860 million by 2030 with a CAGR of 38.5% during review period.
The research report highlights the growth potential of the global Deep Learning Chipset market. Deep Learning Chipset are expected to show stable growth in the future market. However, product differentiation, reducing costs, and supply chain optimization remain crucial for the widespread adoption of Deep Learning Chipset. Market players need to invest in research and development, forge strategic partnerships, and align their offerings with evolving consumer preferences to capitalize on the immense opportunities presented by the Deep Learning Chipset market.
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.
Key Features:
The report on Deep Learning Chipset market reflects various aspects and provide valuable insights into the industry.
Market Size and Growth: The research report provide an overview of the current size and growth of the Deep Learning Chipset market. It may include historical data, market segmentation by Type (e.g., Graphics Processing Units (GPUs), Central Processing Units (CPUs)), and regional breakdowns.
Market Drivers and Challenges: The report can identify and analyse the factors driving the growth of the Deep Learning Chipset market, such as government regulations, environmental concerns, technological advancements, and changing consumer preferences. It can also highlight the challenges faced by the industry, including infrastructure limitations, range anxiety, and high upfront costs.
Competitive Landscape: The research report provides analysis of the competitive landscape within the Deep Learning Chipset market. It includes profiles of key players, their market share, strategies, and product offerings. The report can also highlight emerging players and their potential impact on the market.
Technological Developments: The research report can delve into the latest technological developments in the Deep Learning Chipset industry. This include advancements in Deep Learning Chipset technology, Deep Learning Chipset new entrants, Deep Learning Chipset new investment, and other innovations that are shaping the future of Deep Learning Chipset.
Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the Deep Learning Chipset market. It includes factors influencing customer ' purchasing decisions, preferences for Deep Learning Chipset product.
Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the Deep Learning Chipset market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting Deep Learning Chipset market. The report also evaluates the effectiveness of these policies in driving market growth.
Environmental Impact and Sustainability: The research report assess the environmental impact and sustainability aspects of the Deep Learning Chipset market.
Market Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the Deep Learning Chipset industry. This includes projections of market size, growth rates, regional trends, and predictions on technological advancements and policy developments.
Recommendations and Opportunities: The report conclude with recommendations for industry stakeholders, policymakers, and investors. It highlights potential opportunities for market players to capitalize on emerging trends, overcome challenges, and contribute to the growth and development of the Deep Learning Chipset market.
Market Segmentation:
Deep Learning Chipset market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value.
Segmentation by type
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Segmentation by application
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
Key Questions Addressed in this Report
What is the 10-year outlook for the global Deep Learning Chipset market?
What factors are driving Deep Learning Chipset market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do Deep Learning Chipset market opportunities vary by end market size?
How does Deep Learning Chipset break out type, application?
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Scope of the Report
1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats
2 Executive Summary
2.1 World Market Overview
2.1.1 Global Deep Learning Chipset Annual Sales 2019-2030
2.1.2 World Current & Future Analysis for Deep Learning Chipset by Geographic Region, 2019, 2023 & 2030
2.1.3 World Current & Future Analysis for Deep Learning Chipset by Country/Region, 2019, 2023 & 2030
2.2 Deep Learning Chipset Segment by Type
2.2.1 Graphics Processing Units (GPUs)
2.2.2 Central Processing Units (CPUs)
2.2.3 Application Specific Integrated Circuits (ASICs)
2.2.4 Field Programmable Gate Arrays (FPGAs)
2.2.5 Others
2.3 Deep Learning Chipset Sales by Type
2.3.1 Global Deep Learning Chipset Sales Market Share by Type (2019-2024)
2.3.2 Global Deep Learning Chipset Revenue and Market Share by Type (2019-2024)
2.3.3 Global Deep Learning Chipset Sale Price by Type (2019-2024)
2.4 Deep Learning Chipset Segment by Application
2.4.1 Consumer
2.4.2 Aerospace, Military & Defense
2.4.3 Automotive
2.4.4 Industrial
2.4.5 Medical
2.4.6 Others
2.5 Deep Learning Chipset Sales by Application
2.5.1 Global Deep Learning Chipset Sale Market Share by Application (2019-2024)
2.5.2 Global Deep Learning Chipset Revenue and Market Share by Application (2019-2024)
2.5.3 Global Deep Learning Chipset Sale Price by Application (2019-2024)
3 Global Deep Learning Chipset by Company
3.1 Global Deep Learning Chipset Breakdown Data by Company
3.1.1 Global Deep Learning Chipset Annual Sales by Company (2019-2024)
3.1.2 Global Deep Learning Chipset Sales Market Share by Company (2019-2024)
3.2 Global Deep Learning Chipset Annual Revenue by Company (2019-2024)
3.2.1 Global Deep Learning Chipset Revenue by Company (2019-2024)
3.2.2 Global Deep Learning Chipset Revenue Market Share by Company (2019-2024)
3.3 Global Deep Learning Chipset Sale Price by Company
3.4 Key Manufacturers Deep Learning Chipset Producing Area Distribution, Sales Area, Product Type
3.4.1 Key Manufacturers Deep Learning Chipset Product Location Distribution
3.4.2 Players Deep Learning Chipset Products Offered
3.5 Market Concentration Rate Analysis
3.5.1 Competition Landscape Analysis
3.5.2 Concentration Ratio (CR3, CR5 and CR10) & (2019-2024)
3.6 New Products and Potential Entrants
3.7 Mergers & Acquisitions, Expansion
4 World Historic Review for Deep Learning Chipset by Geographic Region
4.1 World Historic Deep Learning Chipset Market Size by Geographic Region (2019-2024)
4.1.1 Global Deep Learning Chipset Annual Sales by Geographic Region (2019-2024)
4.1.2 Global Deep Learning Chipset Annual Revenue by Geographic Region (2019-2024)
4.2 World Historic Deep Learning Chipset Market Size by Country/Region (2019-2024)
4.2.1 Global Deep Learning Chipset Annual Sales by Country/Region (2019-2024)
4.2.2 Global Deep Learning Chipset Annual Revenue by Country/Region (2019-2024)
4.3 Americas Deep Learning Chipset Sales Growth
4.4 APAC Deep Learning Chipset Sales Growth
4.5 Europe Deep Learning Chipset Sales Growth
4.6 Middle East & Africa Deep Learning Chipset Sales Growth
5 Americas
5.1 Americas Deep Learning Chipset Sales by Country
5.1.1 Americas Deep Learning Chipset Sales by Country (2019-2024)
5.1.2 Americas Deep Learning Chipset Revenue by Country (2019-2024)
5.2 Americas Deep Learning Chipset Sales by Type
5.3 Americas Deep Learning Chipset Sales by Application
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Deep Learning Chipset Sales by Region
6.1.1 APAC Deep Learning Chipset Sales by Region (2019-2024)
6.1.2 APAC Deep Learning Chipset Revenue by Region (2019-2024)
6.2 APAC Deep Learning Chipset Sales by Type
6.3 APAC Deep Learning Chipset Sales by Application
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
6.10 China Taiwan
7 Europe
7.1 Europe Deep Learning Chipset by Country
7.1.1 Europe Deep Learning Chipset Sales by Country (2019-2024)
7.1.2 Europe Deep Learning Chipset Revenue by Country (2019-2024)
7.2 Europe Deep Learning Chipset Sales by Type
7.3 Europe Deep Learning Chipset Sales by Application
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Deep Learning Chipset by Country
8.1.1 Middle East & Africa Deep Learning Chipset Sales by Country (2019-2024)
8.1.2 Middle East & Africa Deep Learning Chipset Revenue by Country (2019-2024)
8.2 Middle East & Africa Deep Learning Chipset Sales by Type
8.3 Middle East & Africa Deep Learning Chipset Sales by Application
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends
10 Manufacturing Cost Structure Analysis
10.1 Raw Material and Suppliers
10.2 Manufacturing Cost Structure Analysis of Deep Learning Chipset
10.3 Manufacturing Process Analysis of Deep Learning Chipset
10.4 Industry Chain Structure of Deep Learning Chipset
11 Marketing, Distributors and Customer
11.1 Sales Channel
11.1.1 Direct Channels
11.1.2 Indirect Channels
11.2 Deep Learning Chipset Distributors
11.3 Deep Learning Chipset Customer
12 World Forecast Review for Deep Learning Chipset by Geographic Region
12.1 Global Deep Learning Chipset Market Size Forecast by Region
12.1.1 Global Deep Learning Chipset Forecast by Region (2025-2030)
12.1.2 Global Deep Learning Chipset Annual Revenue Forecast by Region (2025-2030)
12.2 Americas Forecast by Country
12.3 APAC Forecast by Region
12.4 Europe Forecast by Country
12.5 Middle East & Africa Forecast by Country
12.6 Global Deep Learning Chipset Forecast by Type
12.7 Global Deep Learning Chipset Forecast by Application
13 Key Players Analysis
13.1 NVIDIA
13.1.1 NVIDIA Company Information
13.1.2 NVIDIA Deep Learning Chipset Product Portfolios and Specifications
13.1.3 NVIDIA Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2019-2024)
13.1.4 NVIDIA Main Business Overview
13.1.5 NVIDIA Latest Developments
13.2 Intel
13.2.1 Intel Company Information
13.2.2 Intel Deep Learning Chipset Product Portfolios and Specifications
13.2.3 Intel Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2019-2024)
13.2.4 Intel Main Business Overview
13.2.5 Intel Latest Developments
13.3 IBM
13.3.1 IBM Company Information
13.3.2 IBM Deep Learning Chipset Product Portfolios and Specifications
13.3.3 IBM Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2019-2024)
13.3.4 IBM Main Business Overview
13.3.5 IBM Latest Developments
13.4 Qualcomm
13.4.1 Qualcomm Company Information
13.4.2 Qualcomm Deep Learning Chipset Product Portfolios and Specifications
13.4.3 Qualcomm Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2019-2024)
13.4.4 Qualcomm Main Business Overview
13.4.5 Qualcomm Latest Developments
13.5 CEVA
13.5.1 CEVA Company Information
13.5.2 CEVA Deep Learning Chipset Product Portfolios and Specifications
13.5.3 CEVA Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2019-2024)
13.5.4 CEVA Main Business Overview
13.5.5 CEVA Latest Developments
13.6 KnuEdge
13.6.1 KnuEdge Company Information
13.6.2 KnuEdge Deep Learning Chipset Product Portfolios and Specifications
13.6.3 KnuEdge Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2019-2024)
13.6.4 KnuEdge Main Business Overview
13.6.5 KnuEdge Latest Developments
13.7 AMD
13.7.1 AMD Company Information
13.7.2 AMD Deep Learning Chipset Product Portfolios and Specifications
13.7.3 AMD Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2019-2024)
13.7.4 AMD Main Business Overview
13.7.5 AMD Latest Developments
13.8 Xilinx
13.8.1 Xilinx Company Information
13.8.2 Xilinx Deep Learning Chipset Product Portfolios and Specifications
13.8.3 Xilinx Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2019-2024)
13.8.4 Xilinx Main Business Overview
13.8.5 Xilinx Latest Developments
13.9 ARM
13.9.1 ARM Company Information
13.9.2 ARM Deep Learning Chipset Product Portfolios and Specifications
13.9.3 ARM Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2019-2024)
13.9.4 ARM Main Business Overview
13.9.5 ARM Latest Developments
13.10 Google
13.10.1 Google Company Information
13.10.2 Google Deep Learning Chipset Product Portfolios and Specifications
13.10.3 Google Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2019-2024)
13.10.4 Google Main Business Overview
13.10.5 Google Latest Developments
13.11 Graphcore
13.11.1 Graphcore Company Information
13.11.2 Graphcore Deep Learning Chipset Product Portfolios and Specifications
13.11.3 Graphcore Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2019-2024)
13.11.4 Graphcore Main Business Overview
13.11.5 Graphcore Latest Developments
13.12 TeraDeep
13.12.1 TeraDeep Company Information
13.12.2 TeraDeep Deep Learning Chipset Product Portfolios and Specifications
13.12.3 TeraDeep Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2019-2024)
13.12.4 TeraDeep Main Business Overview
13.12.5 TeraDeep Latest Developments
13.13 Wave Computing
13.13.1 Wave Computing Company Information
13.13.2 Wave Computing Deep Learning Chipset Product Portfolios and Specifications
13.13.3 Wave Computing Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2019-2024)
13.13.4 Wave Computing Main Business Overview
13.13.5 Wave Computing Latest Developments
13.14 BrainChip
13.14.1 BrainChip Company Information
13.14.2 BrainChip Deep Learning Chipset Product Portfolios and Specifications
13.14.3 BrainChip Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2019-2024)
13.14.4 BrainChip Main Business Overview
13.14.5 BrainChip Latest Developments
14 Research Findings and Conclusion
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