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

Best Price Guarantee	Length	Publisher	Published Date	SKU
from $2,800	130 Pages	Bosson Research	May, 2023	BOSS17924177

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

Best Price Guarantee
Price	from $2,800
Length	130 Pages
Publisher	Bosson Research
Published Date	May, 2023
SKU	BOSS17924177

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

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)

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

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 Chip 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 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