US Deep Learning Market is estimated to be USD 3.97 Bn in 2023 and is expected to reach USD 24.24 Bn by 2028, growing at a CAGR of 43.6%.Deep learning has revolutionized the future of artificial intelligence
Market Dynamics
Market dynamics are forces that impact the prices and behaviors of the 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 US Deep Learning Market is segmented based on Offering, Applications, and End-Users- By Offering, the market is classified into Hardware, Software, and Services.
- By Applications, the market is classified into Image Recognition, Voice Recognition, Video Surveillance & Diagnostics, and Data Mining.
- By End-Users, the market is classified into Automotive, Aerospace & Defense, Healthcare, Manufacturing, and Others.
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, etc.Competitive Quadrant
The report includes a 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 Alphabet Inc, Amazon Web Services, Arm Ltd, Baidu Inc, Clarifai Inc, Enlitic Inc IBM Corp, Intel Corp, KNIME AG, Laminoso Technologies, etc.Ansoff Analysis
The report presents a detailed Ansoff matrix analysis for the US 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 analyst analyses the US 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 analyst has devised suitable strategies for market growth.
Why buy this report?
- The report offers a comprehensive evaluation of the US 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, PESTLE Analysis, and the Ansoff Matrix. In addition, the impact of COVID-19 and the impact of economic slowdown & impending recession on the market are 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 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 Description1.1 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 PESTLE Analysis
5.4 SWOT Analysis
5.5 Impact of COVID-19
5.6 Ansoff Matrix Analysis
6 US’ 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 US’ Deep Learning Market, By Applications
7.1 Introduction
7.2 Image Recognition
7.3 Voice Recognition
7.4 Video Surveillance & Diagnostics
7.5 Data Mining
8 US’ Deep Learning Market, By End-Users
8.1 Introduction
8.2 Automotive
8.3 Aerospace & Defense
8.4 Healthcare
8.5 Manufacturing
8.6 Others
9 Competitive Landscape
9.1 Competitive Quadrant
9.2 Market Share Analysis
9.3 Strategic Initiatives
9.3.1 M&A and Investments
9.3.2 Partnerships and Collaborations
9.3.3 Product Developments and Improvements
10 Company Profiles
10.1 Alphabet, Inc.
10.2 Amazon Web Services
10.3 Arm Ltd.
10.4 Baidu, Inc.
10.5 Clarifai, Inc.
10.6 Enlitic, Inc.
10.7 FICO (Fair, Isaac and Company)
10.8 General Vision, Inc.
10.9 Google LLC Graphcore Ltd.
10.10 Hewlett Packard Enterprise Development
10.11 IBM Corp.
10.12 Intel Corp.
10.13 KNIME Ag
10.14 Laminoso Technologies
10.15 Mellanox Technologies
10.16 Micron Technology, Inc.
10.17 Microsoft Corp.
10.18 Nvidia Corp.
10.19 Qualcomm Technologies, Inc.
10.20 RapidMiner, Inc.
10.21 Samsung Electronics Co. Ltd.
10.22 SAP SE
10.23 Sensory, Inc.
10.24 Skymind Global Ltd.
11 Appendix
11.1 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.
- KNIME Ag
- 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.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 150 |
| Published | January 2023 |
| Forecast Period | 2023 - 2028 |
| Estimated Market Value ( USD | $ 3.97 Billion |
| Forecasted Market Value ( USD | $ 24.24 Billion |
| Compound Annual Growth Rate | 43.6% |
| Regions Covered | United States |
| No. of Companies Mentioned | 24 |
