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Global Deep Learning Market (2023-2028) Competitive Analysis, Impact of Covid-19 with Ansoff Analysis

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  • 179 Pages
  • February 2024
  • Infogence Global Research
  • ID: 5585699

Deep learning (DL) has revolutionized the future of artificial intelligence (AI)

The Global Deep Learning Market is estimated to be USD 14.92 Bn in 2023 and is expected to reach USD 90.04 Bn by 2028 growing at a CAGR of 43.26%.

Market Dynamics

Market dynamics are forces that impact the prices and behaviors of the Global Deep Learning 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 Market is segmented based on Offering, Application, End User, and Geography.
  • By Offering, the market is classified into Hardware, Software, and Services.
  • By Application, the market is classified into Image Recognition, Voice Recognition, Video Surveillance & Diagnostics, and Data Mining.
  • By End User, the market is classified into Automotive, Aerospace & Defense, Healthcare, Manufacturing, and Others.
  • 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 Alphabet Inc, Amazon Web Services, Arm Ltd, Baidu Inc, Clarifai Inc, Enlitic Inc, FICO (Fair, Isaac and Company), General Vision Inc, Google LLC, Graphcore Ltd, Hewlett Packard Enetrprise Development, IBM Corp, Intel Corp, KNIME AG, Laminoso Technologies, 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 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 publisher analyses the Global Deep Learning 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 publisher has devised suitable strategies for market growth.

Why buy this report?

  • The report offers a comprehensive evaluation of the Global Deep Learning 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 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

Table of Contents

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 Increasing Adoption of Cloud-Based Technology
4.1.2 Demand for Deep Learning across 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 Lack of Technical Expertise
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 Market, By Offering
6.1 Introduction
6.2 Hardware
6.2.1 Central Processing Unit (CPU)
6.2.2 Graphics Processing Unit (GPU)
6.2.3 Field Programmable Gate Array (FPGA)
6.2.4 Application-Specific Integrated Circuit (ASIC)
6.3 Software
6.4 Service
6.4.1 Installation Services
6.4.2 Integration Services
6.4.3 Maintenance & Support Services
7 Global Deep Learning Market, By Application
7.1 Introduction
7.2 Image Recognition
7.3 Voice Recognition
7.4 Video Surveillance & Diagnostics
7.5 Data Mining
8 Global Deep Learning Market, By End User
8.1 Introduction
8.2 Automotive
8.3 Aerospace & Defense
8.4 Healthcare
8.5 Manufacturing
8.6 Others
9 Americas' Global Deep Learning Market
9.1 Introduction
9.2 Argentina
9.3 Brazil
9.4 Canada
9.5 Chile
9.6 Colombia
9.7 Mexico
9.8 Peru
9.9 United States
9.10 Rest of Americas
10 Europe's Global Deep Learning Market
10.1 Introduction
10.2 Austria
10.3 Belgium
10.4 Denmark
10.5 Finland
10.6 France
10.7 Germany
10.8 Italy
10.9 Netherlands
10.10 Norway
10.11 Poland
10.12 Russia
10.13 Spain
10.14 Sweden
10.15 Switzerland
10.16 United Kingdom
10.17 Rest of Europe
11 Middle East and Africa's Global Deep Learning Market
11.1 Introduction
11.2 Egypt
11.3 Israel
11.4 Qatar
11.5 Saudi Arabia
11.6 South Africa
11.7 United Arab Emirates
11.8 Rest of MEA
12 APAC's Global Deep Learning Market
12.1 Introduction
12.2 Australia
12.3 Bangladesh
12.4 China
12.5 India
12.6 Indonesia
12.7 Japan
12.8 Malaysia
12.9 Philippines
12.10 Singapore
12.11 South Korea
12.12 Sri Lanka
12.13 Thailand
12.14 Taiwan
12.15 Rest of Asia-Pacific
13 Competitive Landscape
13.1 Competitive Quadrant
13.2 Market Share Analysis
13.3 Strategic Initiatives
13.3.1 M&A and Investments
13.3.2 Partnerships and Collaborations
13.3.3 Product Developments and Improvements
14 Company Profiles
14.1 Alphabet Inc
14.2 Amazon Web Services
14.3 Arm Ltd
14.4 Baidu Inc
14.5 Clarifai Inc
14.6 Enlitic Inc
14.7 FICO (Fair, Isaac and Company)
14.8 General Vision Inc
14.9 Google LLC
14.10 Graphcore Ltd
14.11 Hewlett Packard Enetrprise Development
14.12 IBM Corp
14.13 Intel Corp
14.14 KNIME AG
14.15 Laminoso Technologies
14.16 Mellanox Technologies
14.17 Micron Technology Inc
14.18 Microsoft Corp
14.19 Nvidia Corp
14.20 Qualcomm Technologies Inc
14.21 RapidMiner Inc
14.22 Samasung ELectronics Co. Ltd
14.23 SAP SE
14.24 Sensory Inc
14.25 Skymind Global Ltd
15 Appendix
15.1 Questionnaire

Companies Mentioned

  • Alphabet Inc
  • Amazon Web Services
  • Arm Ltd
  • Baidu Inc
  • Clarifai Inc
  • Enlitic Inc
  • FICO (Fair, Isaac and Company)
  • General Vision Inc
  • Google LLC
  • Graphcore Ltd
  • Hewlett Packard Enetrprise Development
  • IBM Corp
  • Intel Corp
  • Laminoso Technologies
  • Mellanox Technologies
  • Micron Technology Inc
  • Microsoft Corp
  • Nvidia Corp
  • Qualcomm Technologies Inc
  • RapidMiner Inc
  • Samasung ELectronics Co. Ltd
  • SAP SE
  • Sensory Inc
  • Skymind Global Ltd