Global Deep Learning Chip Market Research Report 2023(Status and Outlook)
Report Overview
Deep learning chip is an artificial intelligence (AI) device that enables a machine to learn the given tasks and perform them without being explicitly programmed.
These chips facilitate continuous advancement of computing through exposure to new scenarios, testing, and adaptation.
The Global Deep Learning Chip Market Size was estimated at USD 1681.10 million in 2022 and is projected to reach USD 15305.79 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 Chip 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 Chip 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 Chip market in any manner.
Global Deep Learning Chip 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)
Warehousing & Logistics
Manufacturing
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 Chip Market
Overview of the regional outlook of the Deep Learning Chip 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 Chip
- 1.2 Key Market Segments
- 1.2.1 Deep Learning Chip Segment by Type
- 1.2.2 Deep Learning Chip 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 Chip Market Overview
- 2.1 Global Market Overview
- 2.1.1 Global Deep Learning Chip Market Size (M USD) Estimates and Forecasts (2018-2029)
- 2.1.2 Global Deep Learning Chip Sales Estimates and Forecasts (2018-2029)
- 2.2 Market Segment Executive Summary
- 2.3 Global Market Size by Region
- 3 Deep Learning Chip Market Competitive Landscape
- 3.1 Global Deep Learning Chip Sales by Manufacturers (2018-2023)
- 3.2 Global Deep Learning Chip Revenue Market Share by Manufacturers (2018-2023)
- 3.3 Deep Learning Chip Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
- 3.4 Global Deep Learning Chip Average Price by Manufacturers (2018-2023)
- 3.5 Manufacturers Deep Learning Chip Sales Sites, Area Served, Product Type
- 3.6 Deep Learning Chip Market Competitive Situation and Trends
- 3.6.1 Deep Learning Chip Market Concentration Rate
- 3.6.2 Global 5 and 10 Largest Deep Learning Chip Players Market Share by Revenue
- 3.6.3 Mergers & Acquisitions, Expansion
- 4 Deep Learning Chip Industry Chain Analysis
- 4.1 Deep Learning Chip 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 Chip 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 Chip Market Segmentation by Type
- 6.1 Evaluation Matrix of Segment Market Development Potential (Type)
- 6.2 Global Deep Learning Chip Sales Market Share by Type (2018-2023)
- 6.3 Global Deep Learning Chip Market Size Market Share by Type (2018-2023)
- 6.4 Global Deep Learning Chip Price by Type (2018-2023)
- 7 Deep Learning Chip Market Segmentation by Application
- 7.1 Evaluation Matrix of Segment Market Development Potential (Application)
- 7.2 Global Deep Learning Chip Market Sales by Application (2018-2023)
- 7.3 Global Deep Learning Chip Market Size (M USD) by Application (2018-2023)
- 7.4 Global Deep Learning Chip Sales Growth Rate by Application (2018-2023)
- 8 Deep Learning Chip Market Segmentation by Region
- 8.1 Global Deep Learning Chip Sales by Region
- 8.1.1 Global Deep Learning Chip Sales by Region
- 8.1.2 Global Deep Learning Chip Sales Market Share by Region
- 8.2 North America
- 8.2.1 North America Deep Learning Chip 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 Chip 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 Chip 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 Chip 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 Chip 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 Chip Basic Information
- 9.1.2 NVIDIA Deep Learning Chip Product Overview
- 9.1.3 NVIDIA Deep Learning Chip Product Market Performance
- 9.1.4 NVIDIA Business Overview
- 9.1.5 NVIDIA Deep Learning Chip SWOT Analysis
- 9.1.6 NVIDIA Recent Developments
- 9.2 Intel
- 9.2.1 Intel Deep Learning Chip Basic Information
- 9.2.2 Intel Deep Learning Chip Product Overview
- 9.2.3 Intel Deep Learning Chip Product Market Performance
- 9.2.4 Intel Business Overview
- 9.2.5 Intel Deep Learning Chip SWOT Analysis
- 9.2.6 Intel Recent Developments
- 9.3 IBM
- 9.3.1 IBM Deep Learning Chip Basic Information
- 9.3.2 IBM Deep Learning Chip Product Overview
- 9.3.3 IBM Deep Learning Chip Product Market Performance
- 9.3.4 IBM Business Overview
- 9.3.5 IBM Deep Learning Chip SWOT Analysis
- 9.3.6 IBM Recent Developments
- 9.4 Qualcomm
- 9.4.1 Qualcomm Deep Learning Chip Basic Information
- 9.4.2 Qualcomm Deep Learning Chip Product Overview
- 9.4.3 Qualcomm Deep Learning Chip Product Market Performance
- 9.4.4 Qualcomm Business Overview
- 9.4.5 Qualcomm Deep Learning Chip SWOT Analysis
- 9.4.6 Qualcomm Recent Developments
- 9.5 CEVA
- 9.5.1 CEVA Deep Learning Chip Basic Information
- 9.5.2 CEVA Deep Learning Chip Product Overview
- 9.5.3 CEVA Deep Learning Chip Product Market Performance
- 9.5.4 CEVA Business Overview
- 9.5.5 CEVA Deep Learning Chip SWOT Analysis
- 9.5.6 CEVA Recent Developments
- 9.6 KnuEdge
- 9.6.1 KnuEdge Deep Learning Chip Basic Information
- 9.6.2 KnuEdge Deep Learning Chip Product Overview
- 9.6.3 KnuEdge Deep Learning Chip Product Market Performance
- 9.6.4 KnuEdge Business Overview
- 9.6.5 KnuEdge Recent Developments
- 9.7 AMD
- 9.7.1 AMD Deep Learning Chip Basic Information
- 9.7.2 AMD Deep Learning Chip Product Overview
- 9.7.3 AMD Deep Learning Chip Product Market Performance
- 9.7.4 AMD Business Overview
- 9.7.5 AMD Recent Developments
- 9.8 Xilinx
- 9.8.1 Xilinx Deep Learning Chip Basic Information
- 9.8.2 Xilinx Deep Learning Chip Product Overview
- 9.8.3 Xilinx Deep Learning Chip Product Market Performance
- 9.8.4 Xilinx Business Overview
- 9.8.5 Xilinx Recent Developments
- 9.9 ARM
- 9.9.1 ARM Deep Learning Chip Basic Information
- 9.9.2 ARM Deep Learning Chip Product Overview
- 9.9.3 ARM Deep Learning Chip Product Market Performance
- 9.9.4 ARM Business Overview
- 9.9.5 ARM Recent Developments
- 9.10 Google
- 9.10.1 Google Deep Learning Chip Basic Information
- 9.10.2 Google Deep Learning Chip Product Overview
- 9.10.3 Google Deep Learning Chip Product Market Performance
- 9.10.4 Google Business Overview
- 9.10.5 Google Recent Developments
- 9.11 Graphcore
- 9.11.1 Graphcore Deep Learning Chip Basic Information
- 9.11.2 Graphcore Deep Learning Chip Product Overview
- 9.11.3 Graphcore Deep Learning Chip Product Market Performance
- 9.11.4 Graphcore Business Overview
- 9.11.5 Graphcore Recent Developments
- 9.12 TeraDeep
- 9.12.1 TeraDeep Deep Learning Chip Basic Information
- 9.12.2 TeraDeep Deep Learning Chip Product Overview
- 9.12.3 TeraDeep Deep Learning Chip 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 Chip Basic Information
- 9.13.2 Wave Computing Deep Learning Chip Product Overview
- 9.13.3 Wave Computing Deep Learning Chip 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 Chip Basic Information
- 9.14.2 BrainChip Deep Learning Chip Product Overview
- 9.14.3 BrainChip Deep Learning Chip Product Market Performance
- 9.14.4 BrainChip Business Overview
- 9.14.5 BrainChip Recent Developments
- 10 Deep Learning Chip Market Forecast by Region
- 10.1 Global Deep Learning Chip Market Size Forecast
- 10.2 Global Deep Learning Chip Market Forecast by Region
- 10.2.1 North America Market Size Forecast by Country
- 10.2.2 Europe Deep Learning Chip Market Size Forecast by Country
- 10.2.3 Asia Pacific Deep Learning Chip Market Size Forecast by Region
- 10.2.4 South America Deep Learning Chip Market Size Forecast by Country
- 10.2.5 Middle East and Africa Forecasted Consumption of Deep Learning Chip by Country
- 11 Forecast Market by Type and by Application (2024-2029)
- 11.1 Global Deep Learning Chip Market Forecast by Type (2024-2029)
- 11.1.1 Global Forecasted Sales of Deep Learning Chip by Type (2024-2029)
- 11.1.2 Global Deep Learning Chip Market Size Forecast by Type (2024-2029)
- 11.1.3 Global Forecasted Price of Deep Learning Chip by Type (2024-2029)
- 11.2 Global Deep Learning Chip Market Forecast by Application (2024-2029)
- 11.2.1 Global Deep Learning Chip Sales (K Units) Forecast by Application
- 11.2.2 Global Deep Learning Chip Market Size (M USD) Forecast by Application (2024-2029)
- 12 Conclusion and Key Findings
Research Assistance
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