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Global Deep Learning Market Report By Type (Hardware, Software, Services), By Application (Healthcare, Manufacturing, Automotive, Agriculture, Retail, Security, Human Resources, Marketing, ) And By Regions - Industry Trends, Size, Share, Growth, Estimation and Forecast, 2021-2028
ID:VMR11217777
May 2022
Report Formats: Electronic (PDF), MS EXCEL
The global demand for Deep Learning Market is presumed to reach the market size of nearly USD XX MN by 2028 from USD XX MN in 2021 with a CAGR of XX% under the study period 2022 - 2028.
Deep learning focuses on imbuing computers with basic human instincts by directly analyzing complicated content, such as images, text, or voice. End-users can utilize deep learning to construct algorithms that are superior to human performance and attain state-of-the-art (SOTA) accuracy. Deep learning is a subtype of machine learning that comprises a set of computer instructions or algorithms based on brain structure and activity. Deep learning is machine learning that teaches computers to learn by simulating human behavior. Deep learning is also known as artificial neural networks or deep neural networks. Data science, which covers statistics and predictive modeling, contains deep learning as a component. Deep learning is beneficial for data scientists who must collect, analyze, and interpret massive amounts of data since it speeds up and simplifies the process.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of deep learning. The growth and trends of deep learning industry provide a holistic approach to this study.
By Type
By Application
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the deep learning market include Amazon Web Services (AWS), Google, IBM, Intel, Micron Technology, Microsoft, Nvidia, Qualcomm, Samsung, Sensory Inc., Skymind, Xilinx, AMD, General Vision, Graphcore, Mellanox Technologies, Huawei Technologies, Fujitsu, Baidu, Mythic, Adapteva, Koniku. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
Deep learning focuses on imbuing computers with basic human instincts by directly analyzing complicated content, such as images, text, or voice. End-users can utilize deep learning to construct algorithms that are superior to human performance and attain state-of-the-art (SOTA) accuracy. Deep learning is a subtype of machine learning that comprises a set of computer instructions or algorithms based on brain structure and activity. Deep learning is machine learning that teaches computers to learn by simulating human behavior. Deep learning is also known as artificial neural networks or deep neural networks. Data science, which covers statistics and predictive modeling, contains deep learning as a component. Deep learning is beneficial for data scientists who must collect, analyze, and interpret massive amounts of data since it speeds up and simplifies the process.
Market Dynamics
The global deep learning market is growing due to increased computer capacity, lower hardware costs, and increased adoption of cloud-based technology. Furthermore, deep learning in big data analytics has a beneficial impact on market growth. Cumulative expenditure in the healthcare, travel, tourism, and hospitality industries is expected to provide lucrative prospects for market advancement during the projected period. Deep learning solutions are in high demand due to the growing use of cloud-based services and the large-scale creation of unstructured data. In addition, the expanding use of deep learning in recent years for image/speech recognition, data mining, language translations, and the growing number of humanoid robots are some of the critical drivers of the Deep Learning Market. Key market companies are likely to increase their investments in developing machine learning and profound learning applications in the area, accelerating market growth. Furthermore, the rapid volume of data generated in various end-use industries will likely propel the business forward. However, the market's growth is hampered by increased hardware complexity due to complicated algorithms utilized in technology and a lack of technical experience, and a lack of standards and protocols.The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of deep learning. The growth and trends of deep learning industry provide a holistic approach to this study.
Market Segmentation
This section of the deep learning market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.By Type
- Hardware
- Software
- Services
By Application
- Healthcare
- Manufacturing
- Automotive
- Agriculture
- Retail
- Security
- Human Resources
- Marketing
Regional Analysis
This section covers the regional outlook, which accentuates current and future demand for the Deep Learning market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.Global Deep Learning Market Share by Region (Representative Graph)
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the deep learning market include Amazon Web Services (AWS), Google, IBM, Intel, Micron Technology, Microsoft, Nvidia, Qualcomm, Samsung, Sensory Inc., Skymind, Xilinx, AMD, General Vision, Graphcore, Mellanox Technologies, Huawei Technologies, Fujitsu, Baidu, Mythic, Adapteva, Koniku. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
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Frequently Asked Questions (FAQs) about this Report
b. The global Deep Learning market size was estimated to be worth USD 18.42 Billion in 2021.
b. For the years 2023-2028, the global Deep Learning market growth is expected to be around 38.5%.
b. The Global Deep Learning Market is currently dominated by North America.
b. The Global Deep Learning is segmented by Type, Hardware, Software, Services, by Application, Healthcare, Manufacturing, Automotive, Agriculture, Retail, Security, Human Resources, Marketing.
b. The leading players in the Global Deep Learning Market are Amazon Web Services (AWS), Google, IBM, Intel, Micron Technology, Microsoft, Nvidia, Qualcomm, Samsung, Sensory Inc., Skymind, Xilinx, AMD, General Vision, Graphcore, Mellanox Technologies, Huawei Technologies, Fujitsu, Baidu, Mythic, Adapteva, Koniku.
1 . PREFACE
1.1. Report Description
1.1.1. Objective
1.1.2. Target Audience
1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
1.3.1. Market Research Process
1.3.2. Market Research Methodology
2 . EXECUTIVE SUMMARY
2.1. Highlights of Market
2.2. Global Market Snapshot
3 . DEEP LEARNING – INDUSTRY ANALYSIS
3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter’s Five Force Analysis
3.7. Market Attractiveness Analysis
3.7.1 Market Attractiveness Analysis By Type
3.7.2 Market Attractiveness Analysis By Application
3.7.3 Market Attractiveness Analysis By Region
4 . VALUE CHAIN ANALYSIS
4.1. Value Chain Analysis
4.2. Raw Material Analysis
4.2.1. List of Raw Materials
4.2.2. Raw Material Manufactures List
4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
4.4.1. Direct Marketing
4.4.2. Indirect Marketing
4.4.3. Marketing Channel Development Trend
5 . IMPACT ANALYSIS OF COVID-19 OUTBREAK
5.1. Impact Analysis of Covid-19 Outbreak
5.1.1. Direct Impact on Production
5.1.2. Supply Chain and Market Disruption
5.1.3. Financial Impact on Firms and Financial Markets
5.2. COVID-19 Impact Analysis by Production, Import, Export and Demand
5.3. Market: Pre V/S Post COVID-19
5.4. Estimated Impact of the Coronavirus (COVID-19) Epidemic
5.5. COVID-19: Micro and Macro Factor Analysis
6 . GLOBAL DEEP LEARNING MARKET ANALYSIS BY TYPE
6.1 Overview by Type
6.2 Historical and Forecast Data
6.3 Analysis by Type
6.4 Hardware Historic and Forecast Sales by Regions
6.6 Software Historic and Forecast Sales by Regions
6.5 Services Historic and Forecast Sales by Regions
7 . GLOBAL DEEP LEARNING MARKET ANALYSIS BY APPLICATION
7.1 Overview by Application
7.2 Historical and Forecast Data
7.3 Analysis by Application
7.4 Healthcare Historic and Forecast Sales by Regions
7.5 Manufacturing Historic and Forecast Sales by Regions
7.6 Automotive Historic and Forecast Sales by Regions
7.7 Agriculture Historic and Forecast Sales by Regions
7.8 Retail Historic and Forecast Sales by Regions
7.9 Security Historic and Forecast Sales by Regions
7.10. Human Resources Historic and Forecast Sales by Regions
7.11 Marketing Historic and Forecast Sales by Regions
8 . GLOBAL DEEP LEARNING MARKET ANALYSIS BY GEOGRAPHY
8.1. Regional Outlook
8.2. Introduction
8.3. North America Sales Analysis
8.3.1. Overview, Historic and Forecast Sales Analysis
8.3.2. North America By Segment Sales Analysis
8.3.3. North America By Country Sales Analysis
8.3.4. United State Sales Analysis
8.3.5. Canada Sales Analysis
8.3.6. Mexico Sales Analysis
8.4. Europe Sales Analysis
8.4.1. Overview, Historic and Forecast Sales Analysis
8.4.2. Europe by Segment Sales Analysis
8.4.3. Europe by Country Sales Analysis
8.4.4. United Kingdom Sales Analysis
8.4.5. France Sales Analysis
8.4.6. Germany Sales Analysis
8.4.7. Italy Sales Analysis
8.4.8. Russia Sales Analysis
8.4.9. Rest Of Europe Sales Analysis
8.5. Asia Pacific Sales Analysis
8.5.1. Overview, Historic and Forecast Sales Analysis
8.5.2. Asia Pacific by Segment Sales Analysis
8.5.3. Asia Pacific by Country Sales Analysis
8.5.4. China Sales Analysis
8.5.5. India Sales Analysis
8.5.6. Japan Sales Analysis
8.5.7. South Korea Sales Analysis
8.5.8. Australia Sales Analysis
8.5.9. Rest Of Asia Pacific Sales Analysis
8.6. Latin America Sales Analysis
8.6.1. Overview, Historic and Forecast Sales Analysis
8.6.2. Latin America by Segment Sales Analysis
8.6.3. Latin America by Country Sales Analysis
8.6.4. Brazil Sales Analysis
8.6.5. Argentina Sales Analysis
8.6.6. Peru Sales Analysis
8.6.7. Chile Sales Analysis
8.6.8. Rest of Latin America Sales Analysis
8.7. Middle East & Africa Sales Analysis
8.7.1. Overview, Historic and Forecast Sales Analysis
8.7.2. Middle East & Africa by Segment Sales Analysis
8.7.3. Middle East & Africa by Country Sales Analysis
8.7.4. Saudi Arabia Sales Analysis
8.7.5. UAE Sales Analysis
8.7.6. Israel Sales Analysis
8.7.7. South Africa Sales Analysis
8.7.8. Rest Of Middle East And Africa Sales Analysis
9 . COMPETITIVE LANDSCAPE OF THE DEEP LEARNING COMPANIES
9.1. Deep Learning Market Competition
9.2. Partnership/Collaboration/Agreement
9.3. Merger And Acquisitions
9.4. New Product Launch
9.5. Other Developments
10 . COMPANY PROFILES OF DEEP LEARNING INDUSTRY
10.1. Top Companies Market Share Analysis
10.2. Market Concentration Rate
10.3. Amazon Web Services (AWS)
10.3.1. Company Overview
10.3.2. Company Revenue
10.3.3. Products
10.3.4. Recent Developments
10.4. Google
10.4.1. Company Overview
10.4.2. Company Revenue
10.4.3. Products
10.4.4. Recent Developments
10.5. IBM
10.5.1. Company Overview
10.5.2. Company Revenue
10.5.3. Products
10.5.4. Recent Developments
10.6. Intel
10.6.1. Company Overview
10.6.2. Company Revenue
10.6.3. Products
10.6.4. Recent Developments
10.7. Micron Technology
10.7.1. Company Overview
10.7.2. Company Revenue
10.7.3. Products
10.7.4. Recent Developments
10.8. Microsoft
10.8.1. Company Overview
10.8.2. Company Revenue
10.8.3. Products
10.8.4. Recent Developments
10.9. Nvidia
10.9.1. Company Overview
10.9.2. Company Revenue
10.9.3. Products
10.9.4. Recent Developments
10.10. Qualcomm
10.10.1. Company Overview
10.10.2. Company Revenue
10.10.3. Products
10.10.4. Recent Developments
10.11. Samsung
10.11.1. Company Overview
10.11.2. Company Revenue
10.11.3. Products
10.11.4. Recent Developments
10.12. Sensory Inc.
10.12.1. Company Overview
10.12.2. Company Revenue
10.12.3. Products
10.12.4. Recent Developments
10.13. Skymind
10.13.1. Company Overview
10.13.2. Company Revenue
10.13.3. Products
10.13.4. Recent Developments
10.14. Xilinx
10.14.1. Company Overview
10.14.2. Company Revenue
10.14.3. Products
10.14.4. Recent Developments
10.15. AMD
10.15.1. Company Overview
10.15.2. Company Revenue
10.15.3. Products
10.15.4. Recent Developments
10.16. General Vision
10.16.1. Company Overview
10.16.2. Company Revenue
10.16.3. Products
10.16.4. Recent Developments
10.17. Graphcore
10.17.1. Company Overview
10.17.2. Company Revenue
10.17.3. Products
10.17.4. Recent Developments
10.18. Mellanox Technologies
10.18.1. Company Overview
10.18.2. Company Revenue
10.18.3. Products
10.18.4. Recent Developments
10.19. Huawei Technologies
10.19.1. Company Overview
10.19.2. Company Revenue
10.19.3. Products
10.19.4. Recent Developments
10.20. Fujitsu
10.20.1. Company Overview
10.20.2. Company Revenue
10.20.3. Products
10.20.4. Recent Developments
*Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies
LIST OF TABLES
- Market Snapshot
- Drivers : Impact Analysis
- Restraints : Impact Analysis
- List of Raw Material
- List of Raw Material Manufactures
- List of Potential Buyers
- COVID-19 Impact Analysis by Production, Import, Export and Demand
- Pre V/S Post COVID-19
- Estimated Impact Of The Coronavirus (Covid-19) Epidemic
- COVID-19: Micro and Macro Factor Analysis
- Analysis by Type (USD MN)
- Hardware Market Sales by Geography (USD MN)
- Software Market Sales by Geography (USD MN)
- Services Market Sales by Geography (USD MN)
- Analysis Market by Application (USD MN)
- Healthcare Market Sales by Geography (USD MN)
- Manufacturing Market Sales by Geography (USD MN)
- Automotive Market Sales by Geography (USD MN)
- Agriculture Market Sales by Geography (USD MN)
- Retail Market Sales by Geography (USD MN)
- Security Market Sales by Geography (USD MN)
- Human Resources Market Sales by Geography (USD MN)
- Marketing Market Sales by Geography (USD MN)
- Global Deep Learning Market Sales by Geography (USD MN)
- North America Market Analysis (USD MN)
- United State Market Analysis (USD MN)
- Canada Market Analysis (USD MN)
- Mexico Market Analysis (USD MN)
- Europe Market Analysis (USD MN)
- Europe Market Estimate by Country (USD MN)
- United Kingdom Market Analysis (USD MN)
- France Market Analysis (USD MN)
- Germany Market Analysis (USD MN)
- Italy Market Analysis (USD MN)
- Russia Market Analysis (USD MN)
- Spain Market Analysis (USD MN)
- Rest of Europe Market Analysis (USD MN)
- Asia Pacific Market Analysis (USD MN)
- China Market Analysis (USD MN)
- Japan Market Analysis (USD MN)
- India Market Analysis (USD MN)
- South Korea Market Analysis (USD MN)
- Australia Market Analysis (USD MN)
- Rest of Asia Pacific Market Analysis (USD MN)
- Latin America Market Analysis (USD MN)
- Brazil Market Analysis (USD MN)
- Argentina Market Analysis (USD MN)
- Peru Market Analysis (USD MN)
- Chile Market Analysis (USD MN)
- Rest of Latin America Market Analysis (USD MN)
- Middle East & Africa Market Analysis (USD MN)
- Saudi Arabia Market Analysis (USD MN)
- UAE Market Analysis (USD MN)
- Israel Market Analysis (USD MN)
- South Africa Market Analysis (USD MN)
- Rest of Middle East and Africa Market Analysis (USD MN)
- Partnership/Collaboration/Agreement
- Mergers And Acquisition
LIST OF FIGURES
- Research Scope of Deep Learning Report
- Market Research Process
- Market Research Methodology
- Global Deep Learning Market Size, by Region (USD MN)
- Porters Five Forces Analysis
- Market Attractiveness Analysis by Type
- Market Attractiveness Analysis by Application
- Market Attractiveness Analysis by Region
- Value Chain Analysis
- Global Market Analysis Type (USD MN)
- Hardware Market Sales by Geography (USD MN)
- Software Market Sales by Geography (USD MN)
- Services Market Sales by Geography (USD MN)
- Global Market Analysis by Application (USD MN)
- Healthcare Market Sales by Geography (USD MN)
- Manufacturing Market Sales by Geography (USD MN)
- Automotive Market Sales by Geography (USD MN)
- Agriculture Market Sales by Geography (USD MN)
- Retail Market Sales by Geography (USD MN)
- Security Market Sales by Geography (USD MN)
- Human Resources Market Sales by Geography (USD MN)
- Marketing Market Sales by Geography (USD MN)
- Global Market by Revenue
- North America Market by Revenue
- Europe Market by Revenue
- Asia Pacific Market by Revenue
- Latin America Market by Revenue
- Middle East & Africa Market by Revenue
- Recent Development in Industry
- Top Companies Market Share Analysis
* Kindly note that the above listed are the basic tables and figures of the report and are not limited to the TOC.
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Objectives of Study
- Define and measure the global market
- Volume or revenue forecast of the global market and its various sub-segments with respect to main geographies
- Analyze and identify major market trends along with the factors driving or inhibiting the market growth
- Study the company profiles of the major market players with their market share
- Analyze competitive developments