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Global Deep Learning Chipset Market (2022-2027) by Type, End User, Geography, Competitive Analysis and the Impact of Covid-19 with Ansoff Analysis

  • ID: 5585699
  • Report
  • March 2022
  • Region: Global
  • 180 Pages
  • Infogence Global Research

FEATURED COMPANIES

  • Alphabet Inc
  • Baidu Inc
  • CEVA Inc
  • IBM Corp
  • KnuEdge
  • Qualcomm Technologies Inc
The Global Deep Learning Chipset Market is estimated to be USD 8.26 Bn in 2022 and is projected to reach USD 17.5 Bn by 2027, growing at a CAGR of 16.2%.



Market dynamics are forces that impact the prices and behaviors of the Global Deep Learning Chipset Market stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.

As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.

Market Segmentations

The Global Deep Learning Chipset Market is segmented based on Type, End User, and Geography.
  • By Type, the market is classified into Application Specific Integrated Circuits, Central Processing Units, Field Programmable Gate Arrays, and Graphics Processing Units.
  • By End User, the market is classified into Aerospace and Defense, Automotive, Healthcare, Industrial, and Consumer Electronics.
  • By Geography, the market is classified into Americas, Europe, Middle-East & Africa and Asia-Pacific.

Company Profiles

The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are Advanced Micro Devices Inc, Alphabet Inc, Amazon.com.Inc, Baidu Inc, Bitmain Technology Ltd, CEVA Inc, Google LLC Graphcore Ltd, IBM Corp, Intel Corp, KnuEdge, NVIDIA Corp, etc.

Countries Studied

America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Ansoff Analysis

The report presents a detailed Ansoff matrix analysis for the Global Deep Learning Chipset Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.

The analyst analyses the Global Deep Learning Chipset Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.

Based on the SWOT analysis conducted on the industry and industry players, The analyst has devised suitable strategies for market growth.

Why buy this report?

  • The report offers a comprehensive evaluation of the Global Deep Learning Chipset Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
  • The report includes an in-depth market analysis using Porter's 5 forces model and the Ansoff Matrix. In addition, the impact of Covid-19 on the market is also featured in the report.
  • The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
  • The report also contains the competitive analysis using Positioning Quadrants, the analyst's Proprietary competitive positioning tool.

Report Highlights:

  • A complete analysis of the market, including parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market
Frequently Asked Questions about the Global Deep Learning Chipset Market

What is the estimated value of the Global Deep Learning Chipset Market?

The Global Deep Learning Chipset Market was estimated to be valued at $8.3 Billion in 2022.

What is the growth rate of the Global Deep Learning Chipset Market?

The growth rate of the Global Deep Learning Chipset Market is 16.2%, with an estimated value of $17.5 Billion by 2027.

What is the forecasted size of the Global Deep Learning Chipset Market?

The Global Deep Learning Chipset Market is estimated to be worth $17.5 Billion by 2027.

Who are the key companies in the Global Deep Learning Chipset Market?

Key companies in the Global Deep Learning Chipset Market include Advanced Micro Devices Inc, Alphabet Inc, Amazon.com.Inc, Baidu Inc, Bitmain Technology Ltd, CEVA Inc, Google LLC Graphcore Ltd, IBM Corp and KnuEdge.
Note: Product cover images may vary from those shown

FEATURED COMPANIES

  • Alphabet Inc
  • Baidu Inc
  • CEVA Inc
  • IBM Corp
  • KnuEdge
  • Qualcomm Technologies Inc

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Stakeholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size, Segmentations and Outlook
4 Market Dynamics
4.1 Drivers
4.1.1 Surging Technological Advancements in Deep Learning Chipsets
4.1.2 The Soaring Demand for Deep Learning across a Host of Industrial Sectors
4.2 Restraints
4.2.1 Delivery of Such Tasks Lacks Essential Skillsets
4.3 Opportunities
4.3.1 Emergence of Autonomous Robots
4.3.2 Surge in Demand for Smart Homes & Smart Cities
4.3.3 Rise in Investments in AI Startups
4.4 Challenges
4.4.1 Complexity and Pricing Issues
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter's Five Forces Analysis
5.3 Impact of COVID-19
5.4 Ansoff Matrix Analysis
6 Global Deep Learning Chipset Market, By Type
6.1 Introduction
6.2 Application Specific Integrated Circuits
6.3 Central Processing Units
6.4 Field Programmable Gate Arrays
6.5 Graphics Processing Units
7 Global Deep Learning Chipset Market, By End User
7.1 Introduction
7.2 Aerospace and Defense
7.3 Automotive
7.4 Healthcare
7.5 Industrial
7.6 Consumer Electronics
8 Americas' Global Deep Learning Chipset Market
8.1 Introduction
8.2 Argentina
8.3 Brazil
8.4 Canada
8.5 Chile
8.6 Colombia
8.7 Mexico
8.8 Peru
8.9 United States
8.10 Rest of Americas
9 Europe's Global Deep Learning Chipset Market
9.1 Introduction
9.2 Austria
9.3 Belgium
9.4 Denmark
9.5 Finland
9.6 France
9.7 Germany
9.8 Italy
9.9 Netherlands
9.10 Norway
9.11 Poland
9.12 Russia
9.13 Spain
9.14 Sweden
9.15 Switzerland
9.16 United Kingdom
9.17 Rest of Europe
10 Middle East and Africa's Global Deep Learning Chipset Market
10.1 Introduction
10.2 Egypt
10.3 Israel
10.4 Qatar
10.5 Saudi Arabia
10.6 South Africa
10.7 United Arab Emirates
10.8 Rest of MEA
11 APAC's Global Deep Learning Chipset Market
11.1 Introduction
11.2 Australia
11.3 Bangladesh
11.4 China
11.5 India
11.6 Indonesia
11.7 Japan
11.8 Malaysia
11.9 Philippines
11.10 Singapore
11.11 South Korea
11.12 Sri Lanka
11.13 Thailand
11.14 Taiwan
11.15 Rest of Asia-Pacific
12 Competitive Landscape
12.1 Competitive Quadrant
12.2 Market Share Analysis
12.3 Strategic Initiatives
12.3.1 M&A and Investments
12.3.2 Partnerships and Collaborations
12.3.3 Product Developments and Improvements
13 Company Profiles
13.1 Advanced Micro Devices Inc
13.2 Alphabet Inc
13.3 Amazon.com.Inc
13.4 Baidu Inc
13.5 Bitmain Technology Ltd
13.6 CEVA Inc
13.7 Google LLC Graphcore Ltd
13.8 IBM Corp
13.9 Intel Corp
13.10 KnuEdge
13.11 NVIDIA Corp
13.12 Qualcomm Technologies Inc
13.13 Samasung ELectronics Co. Ltd
13.14 TeraDeep Inc
13.15 Xilinx Inc (Advanced Micro Devices Inc)
14 Appendix
14.1 Questionnaire
Note: Product cover images may vary from those shown
  • Advanced Micro Devices Inc
  • Alphabet Inc
  • Amazon.com.Inc
  • Baidu Inc
  • Bitmain Technology Ltd
  • CEVA Inc
  • Google LLC Graphcore Ltd
  • IBM Corp
  • Intel Corp
  • KnuEdge
  • NVIDIA Corp
  • Qualcomm Technologies Inc
  • Samasung ELectronics Co. Ltd
  • TeraDeep Inc
  • Xilinx Inc (Advanced Micro Devices Inc)
Note: Product cover images may vary from those shown