Global Deep Learning Chipset Market Research Report 2023(Status and Outlook)
Report Overview
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 Global Deep Learning Chipset Market Size was estimated at USD 2354.60 million in 2022 and is projected to reach USD 21437.76 million by 2029, exhibiting a CAGR of 37.10% during the forecast period.
Bosson Research’s latest report provides a deep insight into the global Deep Learning Chipset market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, Porter’s five forces analysis, value chain analysis, etc.
The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global Deep Learning Chipset Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.
In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the Deep Learning Chipset market in any manner.
Global Deep Learning Chipset Market: Market Segmentation Analysis
The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.
Key Company
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Graphcore
TeraDeep
Wave Computing
BrainChip
Market Segmentation (by Type)
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Market Segmentation (by Application)
Refrigerator
Washing Machine
Air Conditioning
TV Set
Audiovisual Products
Other
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the Deep Learning Chipset Market
Overview of the regional outlook of the Deep Learning Chipset Market:
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
- 1 Research Methodology and Statistical Scope
- 1.1 Market Definition and Statistical Scope of Deep Learning Chipset
- 1.2 Key Market Segments
- 1.2.1 Deep Learning Chipset Segment by Type
- 1.2.2 Deep Learning Chipset Segment by Application
- 1.3 Methodology & Sources of Information
- 1.3.1 Research Methodology
- 1.3.2 Research Process
- 1.3.3 Market Breakdown and Data Triangulation
- 1.3.4 Base Year
- 1.3.5 Report Assumptions & Caveats
- 2 Deep Learning Chipset Market Overview
- 2.1 Global Market Overview
- 2.1.1 Global Deep Learning Chipset Market Size (M USD) Estimates and Forecasts (2018-2029)
- 2.1.2 Global Deep Learning Chipset Sales Estimates and Forecasts (2018-2029)
- 2.2 Market Segment Executive Summary
- 2.3 Global Market Size by Region
- 3 Deep Learning Chipset Market Competitive Landscape
- 3.1 Global Deep Learning Chipset Sales by Manufacturers (2018-2023)
- 3.2 Global Deep Learning Chipset Revenue Market Share by Manufacturers (2018-2023)
- 3.3 Deep Learning Chipset Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
- 3.4 Global Deep Learning Chipset Average Price by Manufacturers (2018-2023)
- 3.5 Manufacturers Deep Learning Chipset Sales Sites, Area Served, Product Type
- 3.6 Deep Learning Chipset Market Competitive Situation and Trends
- 3.6.1 Deep Learning Chipset Market Concentration Rate
- 3.6.2 Global 5 and 10 Largest Deep Learning Chipset Players Market Share by Revenue
- 3.6.3 Mergers & Acquisitions, Expansion
- 4 Deep Learning Chipset Industry Chain Analysis
- 4.1 Deep Learning Chipset Industry Chain Analysis
- 4.2 Market Overview of Key Raw Materials
- 4.3 Midstream Market Analysis
- 4.4 Downstream Customer Analysis
- 5 The Development and Dynamics of Deep Learning Chipset Market
- 5.1 Key Development Trends
- 5.2 Driving Factors
- 5.3 Market Challenges
- 5.4 Market Restraints
- 5.5 Industry News
- 5.5.1 New Product Developments
- 5.5.2 Mergers & Acquisitions
- 5.5.3 Expansions
- 5.5.4 Collaboration/Supply Contracts
- 5.6 Industry Policies
- 6 Deep Learning Chipset Market Segmentation by Type
- 6.1 Evaluation Matrix of Segment Market Development Potential (Type)
- 6.2 Global Deep Learning Chipset Sales Market Share by Type (2018-2023)
- 6.3 Global Deep Learning Chipset Market Size Market Share by Type (2018-2023)
- 6.4 Global Deep Learning Chipset Price by Type (2018-2023)
- 7 Deep Learning Chipset Market Segmentation by Application
- 7.1 Evaluation Matrix of Segment Market Development Potential (Application)
- 7.2 Global Deep Learning Chipset Market Sales by Application (2018-2023)
- 7.3 Global Deep Learning Chipset Market Size (M USD) by Application (2018-2023)
- 7.4 Global Deep Learning Chipset Sales Growth Rate by Application (2018-2023)
- 8 Deep Learning Chipset Market Segmentation by Region
- 8.1 Global Deep Learning Chipset Sales by Region
- 8.1.1 Global Deep Learning Chipset Sales by Region
- 8.1.2 Global Deep Learning Chipset Sales Market Share by Region
- 8.2 North America
- 8.2.1 North America Deep Learning Chipset Sales by Country
- 8.2.2 U.S.
- 8.2.3 Canada
- 8.2.4 Mexico
- 8.3 Europe
- 8.3.1 Europe Deep Learning Chipset Sales by Country
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 U.K.
- 8.3.5 Italy
- 8.3.6 Russia
- 8.4 Asia Pacific
- 8.4.1 Asia Pacific Deep Learning Chipset Sales by Region
- 8.4.2 China
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 India
- 8.4.6 Southeast Asia
- 8.5 South America
- 8.5.1 South America Deep Learning Chipset Sales by Country
- 8.5.2 Brazil
- 8.5.3 Argentina
- 8.5.4 Columbia
- 8.6 Middle East and Africa
- 8.6.1 Middle East and Africa Deep Learning Chipset Sales by Region
- 8.6.2 Saudi Arabia
- 8.6.3 UAE
- 8.6.4 Egypt
- 8.6.5 Nigeria
- 8.6.6 South Africa
- 9 Key Companies Profile
- 9.1 NVIDIA
- 9.1.1 NVIDIA Deep Learning Chipset Basic Information
- 9.1.2 NVIDIA Deep Learning Chipset Product Overview
- 9.1.3 NVIDIA Deep Learning Chipset Product Market Performance
- 9.1.4 NVIDIA Business Overview
- 9.1.5 NVIDIA Deep Learning Chipset SWOT Analysis
- 9.1.6 NVIDIA Recent Developments
- 9.2 Intel
- 9.2.1 Intel Deep Learning Chipset Basic Information
- 9.2.2 Intel Deep Learning Chipset Product Overview
- 9.2.3 Intel Deep Learning Chipset Product Market Performance
- 9.2.4 Intel Business Overview
- 9.2.5 Intel Deep Learning Chipset SWOT Analysis
- 9.2.6 Intel Recent Developments
- 9.3 IBM
- 9.3.1 IBM Deep Learning Chipset Basic Information
- 9.3.2 IBM Deep Learning Chipset Product Overview
- 9.3.3 IBM Deep Learning Chipset Product Market Performance
- 9.3.4 IBM Business Overview
- 9.3.5 IBM Deep Learning Chipset SWOT Analysis
- 9.3.6 IBM Recent Developments
- 9.4 Qualcomm
- 9.4.1 Qualcomm Deep Learning Chipset Basic Information
- 9.4.2 Qualcomm Deep Learning Chipset Product Overview
- 9.4.3 Qualcomm Deep Learning Chipset Product Market Performance
- 9.4.4 Qualcomm Business Overview
- 9.4.5 Qualcomm Deep Learning Chipset SWOT Analysis
- 9.4.6 Qualcomm Recent Developments
- 9.5 CEVA
- 9.5.1 CEVA Deep Learning Chipset Basic Information
- 9.5.2 CEVA Deep Learning Chipset Product Overview
- 9.5.3 CEVA Deep Learning Chipset Product Market Performance
- 9.5.4 CEVA Business Overview
- 9.5.5 CEVA Deep Learning Chipset SWOT Analysis
- 9.5.6 CEVA Recent Developments
- 9.6 KnuEdge
- 9.6.1 KnuEdge Deep Learning Chipset Basic Information
- 9.6.2 KnuEdge Deep Learning Chipset Product Overview
- 9.6.3 KnuEdge Deep Learning Chipset Product Market Performance
- 9.6.4 KnuEdge Business Overview
- 9.6.5 KnuEdge Recent Developments
- 9.7 AMD
- 9.7.1 AMD Deep Learning Chipset Basic Information
- 9.7.2 AMD Deep Learning Chipset Product Overview
- 9.7.3 AMD Deep Learning Chipset Product Market Performance
- 9.7.4 AMD Business Overview
- 9.7.5 AMD Recent Developments
- 9.8 Xilinx
- 9.8.1 Xilinx Deep Learning Chipset Basic Information
- 9.8.2 Xilinx Deep Learning Chipset Product Overview
- 9.8.3 Xilinx Deep Learning Chipset Product Market Performance
- 9.8.4 Xilinx Business Overview
- 9.8.5 Xilinx Recent Developments
- 9.9 ARM
- 9.9.1 ARM Deep Learning Chipset Basic Information
- 9.9.2 ARM Deep Learning Chipset Product Overview
- 9.9.3 ARM Deep Learning Chipset Product Market Performance
- 9.9.4 ARM Business Overview
- 9.9.5 ARM Recent Developments
- 9.10 Google
- 9.10.1 Google Deep Learning Chipset Basic Information
- 9.10.2 Google Deep Learning Chipset Product Overview
- 9.10.3 Google Deep Learning Chipset Product Market Performance
- 9.10.4 Google Business Overview
- 9.10.5 Google Recent Developments
- 9.11 Graphcore
- 9.11.1 Graphcore Deep Learning Chipset Basic Information
- 9.11.2 Graphcore Deep Learning Chipset Product Overview
- 9.11.3 Graphcore Deep Learning Chipset Product Market Performance
- 9.11.4 Graphcore Business Overview
- 9.11.5 Graphcore Recent Developments
- 9.12 TeraDeep
- 9.12.1 TeraDeep Deep Learning Chipset Basic Information
- 9.12.2 TeraDeep Deep Learning Chipset Product Overview
- 9.12.3 TeraDeep Deep Learning Chipset Product Market Performance
- 9.12.4 TeraDeep Business Overview
- 9.12.5 TeraDeep Recent Developments
- 9.13 Wave Computing
- 9.13.1 Wave Computing Deep Learning Chipset Basic Information
- 9.13.2 Wave Computing Deep Learning Chipset Product Overview
- 9.13.3 Wave Computing Deep Learning Chipset Product Market Performance
- 9.13.4 Wave Computing Business Overview
- 9.13.5 Wave Computing Recent Developments
- 9.14 BrainChip
- 9.14.1 BrainChip Deep Learning Chipset Basic Information
- 9.14.2 BrainChip Deep Learning Chipset Product Overview
- 9.14.3 BrainChip Deep Learning Chipset Product Market Performance
- 9.14.4 BrainChip Business Overview
- 9.14.5 BrainChip Recent Developments
- 10 Deep Learning Chipset Market Forecast by Region
- 10.1 Global Deep Learning Chipset Market Size Forecast
- 10.2 Global Deep Learning Chipset Market Forecast by Region
- 10.2.1 North America Market Size Forecast by Country
- 10.2.2 Europe Deep Learning Chipset Market Size Forecast by Country
- 10.2.3 Asia Pacific Deep Learning Chipset Market Size Forecast by Region
- 10.2.4 South America Deep Learning Chipset Market Size Forecast by Country
- 10.2.5 Middle East and Africa Forecasted Consumption of Deep Learning Chipset by Country
- 11 Forecast Market by Type and by Application (2024-2029)
- 11.1 Global Deep Learning Chipset Market Forecast by Type (2024-2029)
- 11.1.1 Global Forecasted Sales of Deep Learning Chipset by Type (2024-2029)
- 11.1.2 Global Deep Learning Chipset Market Size Forecast by Type (2024-2029)
- 11.1.3 Global Forecasted Price of Deep Learning Chipset by Type (2024-2029)
- 11.2 Global Deep Learning Chipset Market Forecast by Application (2024-2029)
- 11.2.1 Global Deep Learning Chipset Sales (K Units) Forecast by Application
- 11.2.2 Global Deep Learning Chipset Market Size (M USD) Forecast by Application (2024-2029)
- 12 Conclusion and Key Findings
Research Assistance
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