Global Deep Learning Chipset Market Research Report 2023(Status and Outlook)

Best Price Guarantee	Length	Publisher	Published Date	SKU
from $2,800	132 Pages	Bosson Research	May, 2023	BOSS17924176

Attention: There is an updated edition available for this report.

Best Price Guarantee
Price	from $2,800
Length	132 Pages
Publisher	Bosson Research
Published Date	May, 2023
SKU	BOSS17924176

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

Google

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

You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents

The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly

Provision of market value (USD Billion) data for each segment and sub-segment

Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market

Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region

Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled

Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players

The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions

Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis

Provides insight into the market through Value Chain

Market dynamics scenario, along with growth opportunities of the market in the years to come

6-month post-sales analyst support

Chapter Outline

Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.

Chapter 2 is an executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the Deep Learning Chipset Market and its likely evolution in the short to mid-term, and long term.

Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.

Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.

Chapter 5 introduces the 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 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 7 provides the analysis of various market segments according to application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 8 provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.

Chapter 9 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.

Chapter 10 provides a quantitative analysis of the market size and development potential of each region in the next five years.

Chapter 11 provides a quantitative analysis of the market size and development potential of each market segment (product type and application) in the next five years.

Chapter 12 is the main points and conclusions of the report.

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