Deep learning, or deep structured learning, is a division of machine learning that uses layered algorithmic models for analyzing data. It is a key component of data science, which uses statistics and predictive modeling for collecting, analyzing, and interpreting large amounts of information. Deep learning drives many artificial intelligence (AI) applications and services that improve automation, performing analytical and physical tasks without human intervention. Deep learning technology lies behind everyday products and services such as digital assistants, voice-enabled TV remotes, and credit card fraud detection as well as emerging technologies such as self-driving cars.The expanding information technology (IT) industry, along with the growing trend of digitalization, is one of the prime factors that are escalating the growth of the global Deep Learning market.
In comparison to the traditionally used computing systems, deep learning algorithms can automatically intercept available data points, which improves the efficiency and accuracy of the decision-making process. Moreover, deep learning solutions are extensively employed for cybersecurity, database management, and fraud detection systems. Besides, they are also used for processing medical images for disease diagnosis and drug discovery and offering virtual patient assistance in the healthcare sector. This key fact is contributing to the extensive adoption of the technology. Each of these factors is anticipated to have a definite impact on the global Deep Learning market during the forecast period.
Furthermore, other important factors such as its integration with big data analytics and cloud computing, along with widespread research and development (R&D) activities to develop advanced hardware and software processing solutions for deep learning, are anticipated to intensify the growth of the global Deep Learning market in the forthcoming years.
Covid-19 Impact on Deep Learning Market
Like many other industries, COVID-19 badly knocked the electronic and semiconductor industries. This unprecedented event has impacted nearly 230 countries in just a few weeks, resulting in the forced shutdown of manufacturing and transportation activities within and across the countries. This has directly affected the overall sector's growth. It is estimated that COVID-19 to leave more than USD 30 billion impacts on the electronics and semiconductor industry. The sector is majorly affected due to transport restrictions on major electronics and semiconductor raw material providers. However, the emerging need for semiconductors in several industries will offer rapid market recovery over the future period.
Deep Learning Market Segment Overview
Based on Product Type, the Software segment holds the largest share of the global Deep Learning market. The increasing adoption of software solutions in several applications, such as smartphone assistants, ATMs that read checks, voice and image recognition software on social networks, and software that serves up advertisements on various websites, is boosting the growth of machine learning technology in the market. Furthermore, Image Recognition is the largest application segment in the market. Growing demand for pattern recognition, optical character recognition, code recognition, facial recognition, object recognition, and digital image processing is propelling the growth of image recognition in the market. Further, the Data Mining segment is expected to show high growth in the forecast period. Data mining is used in the following applications: sentiment analysis, machine translation, fingerprint identification, cybersecurity, and bioinformatics.
Deep Learning Market, By Product Type
· Software
· Services
· Hardware
Deep Learning Market, By Application
· Image Recognition
· Signal Recognition
· Data Mining
· Others
Deep Learning Market, By End-Use Industry
· Security
· Manufacturing
· Retail
· Automotive
· Healthcare
· Agriculture
· Others
Deep Learning Regional Overview
In terms of region, North America held the largest share of the Deep Learning market. Demand for deep learning applications, such as image recognition, signal recognition, and data mining, in industries such as aerospace & defense, automotive, healthcare, and IT and telecommunications is projected to propel the growth of the market in this region. Similarly, the market in Asia-Pacific is expected to witness significant growth during the forecast period.In Asia-Pacific, deep learning is a growing technology that is used in electronic products, such as smartphones, tablets, and PCs, as well as it is also used in medical and automotive products. High economic growth in the major countries, such as China and India, is anticipated to escalate the growth of the deep learning market in this region.
Deep Learning Market, By Geography
· North America (US & Canada)
· Europe (UK, Germany, France, Italy, Spain, Russia & Rest of Europe)
· Asia-Pacific (Japan, China, India, Australia, & South Korea, & Rest of Asia-Pacific)
· LAMEA (Brazil, Saudi Arabia, UAE & Rest of LAMEA)
Deep Learning Market, Key Players
· NVIDIA Corporation
· Alphabet Inc.
· IBM Corporation
· Advanced Micro Devices Inc.
· Arm Holdings
· Intel Corporation
· Micron Technology Inc.
· Qualcomm Technologies Inc.
· Microsoft Corporation
· Amazon Web Services
1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
2. Executive Summary
3. Market Dynamics
- 3.1. Market Drivers
- 3.2. Market Restraints
- 3.3. Market Opportunities
4. Key Insights
- 4.1. Key Emerging Trends – For Major Countries
- 4.2. Latest Technological Advancement
- 4.3. Regulatory Landscape
- 4.4. Industry SWOT Analysis
- 4.5. Porters Five Forces Analysis
5. Global Deep Learning Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 5.1. Key Findings / Summary
- 5.2. Market Analysis, Insights and Forecast – By Product Type
- 5.2.1. Software
- 5.2.2. Services
- 5.2.3. Hardware
- 5.3. Market Analysis, Insights and Forecast – By Application
- 5.3.1. Image Recognition
- 5.3.2. Signal Recognition
- 5.3.3. Data Mining
- 5.3.4. Others
- 5.4. Market Analysis, Insights and Forecast – By End-Use Industry
- 5.4.1. Security
- 5.4.2. Manufacturing
- 5.4.3. Retail
- 5.4.4. Automotive
- 5.4.5. Healthcare
- 5.4.6. Agriculture
- 5.4.7. Others
- 5.5. Market Analysis, Insights and Forecast – By Region
- 5.5.1. North America
- 5.5.2. Europe
- 5.5.3. Asia Pacific
- 5.5.4. Latin America, Middle East and Africa
6. North America Deep Learning Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 6.1. Key Findings / Summary
- 6.2. Market Analysis, Insights and Forecast – By Product Type
- 6.2.1. Software
- 6.2.2. Services
- 6.2.3. Hardware
- 6.3. Market Analysis, Insights and Forecast – By Application
- 6.3.1. Image Recognition
- 6.3.2. Signal Recognition
- 6.3.3. Data Mining
- 6.3.4. Others
- 6.4. Market Analysis, Insights and Forecast – By End-Use Industry
- 6.4.1. Security
- 6.4.2. Manufacturing
- 6.4.3. Retail
- 6.4.4. Automotive
- 6.4.5. Healthcare
- 6.4.6. Agriculture
- 6.4.7. Others
- 6.5. Market Analysis, Insights and Forecast – By Country
- 6.5.1. U.S.
- 6.5.2. Canada
7. Europe Deep Learning Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 7.1. Key Findings / Summary
- 7.2. Market Analysis, Insights and Forecast – By Product Type
- 7.2.1. Software
- 7.2.2. Services
- 7.2.3. Hardware
- 7.3. Market Analysis, Insights and Forecast – By Application
- 7.3.1. Image Recognition
- 7.3.2. Signal Recognition
- 7.3.3. Data Mining
- 7.3.4. Others
- 7.4. Market Analysis, Insights and Forecast – By End-Use Industry
- 7.4.1. Security
- 7.4.2. Manufacturing
- 7.4.3. Retail
- 7.4.4. Automotive
- 7.4.5. Healthcare
- 7.4.6. Agriculture
- 7.4.7. Others
- 7.5. Market Analysis, Insights and Forecast – By Country
- 7.5.1. UK
- 7.5.2. Germany
- 7.5.3. France
- 7.5.4. Italy
- 7.5.5. Spain
- 7.5.6. Russia
- 7.5.7. Rest of Europe
8. Asia Pacific Deep Learning Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 8.1. Key Findings / Summary
- 8.2. Market Analysis, Insights and Forecast – By Product Type
- 8.2.1. Software
- 8.2.2. Services
- 8.2.3. Hardware
- 8.3. Market Analysis, Insights and Forecast – By Application
- 8.3.1. Image Recognition
- 8.3.2. Signal Recognition
- 8.3.3. Data Mining
- 8.3.4. Others
- 8.4. Market Analysis, Insights and Forecast – By End-Use Industry
- 8.4.1. Security
- 8.4.2. Manufacturing
- 8.4.3. Retail
- 8.4.4. Automotive
- 8.4.5. Healthcare
- 8.4.6. Agriculture
- 8.4.7. Others
- 8.5. Market Analysis, Insights and Forecast – By Country
- 8.5.1. China
- 8.5.2. India
- 8.5.3. Japan
- 8.5.4. Australia
- 8.5.5. South East Asia
- 8.5.6. Rest of Asia Pacific
9. Latin America, Middle East and Africa Deep Learning Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 9.1. Key Findings / Summary
- 9.2. Market Analysis, Insights and Forecast – By Product Type
- 9.2.1. Software
- 9.2.2. Services
- 9.2.3. Hardware
- 9.3. Market Analysis, Insights and Forecast – By Application
- 9.3.1. Image Recognition
- 9.3.2. Signal Recognition
- 9.3.3. Data Mining
- 9.3.4. Others
- 9.4. Market Analysis, Insights and Forecast – By End-Use Industry
- 9.4.1. Security
- 9.4.2. Manufacturing
- 9.4.3. Retail
- 9.4.4. Automotive
- 9.4.5. Healthcare
- 9.4.6. Agriculture
- 9.4.7. Others
- 9.5. Market Analysis, Insights and Forecast – By Country
- 9.5.1. Brazil
- 9.5.2. Saudi Arabia
- 9.5.3. UAE
- 9.5.4. Rest of LAMEA
10. Competitive Analysis
- 10.1. Company Market Share Analysis, 2018
- 10.2. Key Industry Developments
- 10.3. Company Profile
- 10.4. NVIDIA Corporation
- 10.4.1. Business Overview
- 10.4.2. Segment 1 & Service Offering
- 10.4.3. Overall Revenue
- 10.4.4. Geographic Presence
- 10.4.5. Recent Development
- 10.5. Alphabet Inc.
- 10.6. IBM Corporation
- 10.7. Advanced Micro Devices Inc.
- 10.8. Arm Holdings
- 10.9. Intel Corporation
- 10.10. Micron Technology Inc.
- 10.11. Qualcomm Technologies Inc.
- 10.12. Microsoft Corporation
Data Library Research are conducted by industry experts who offer insight on industry structure, market segmentations technology assessment and competitive landscape (CL), and penetration, as well as on emerging trends. Their analysis is based on primary interviews (~ 80%) and secondary research (~ 20%) as well as years of professional expertise in their respective industries. Adding to this, by analysing historical trends and current market positions, our analysts predict where the market will be headed for the next five years. Furthermore, the varying trends of segment & categories geographically presented are also studied and the estimated based on the primary & secondary research.
In this particular report from the supply side Data Library Research has conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and SOFT) of the companies that active & prominent as well as the midsized organization
FIGURE 1: DLR RESEARH PROCESS
Extensive primary research was conducted to gain a deeper insight of the market and industry performance. The analysis is based on both primary and secondary research as well as years of professional expertise in the respective industries.
In addition to analysing current and historical trends, our analysts predict where the market is headed over the next five years.
It varies by segment for these categories geographically presented in the list of market tables. Speaking about this particular report we have conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and many more) of the major players active in the market.
Secondary ResearchSecondary research was mainly used to collect and identify information useful for the extensive, technical, market-oriented, and Friend’s study of the Global Extra Neutral Alcohol. It was also used to obtain key information about major players, market classification and segmentation according to the industry trends, geographical markets, and developments related to the market and technology perspectives. For this study, analysts have gathered information from various credible sources, such as annual reports, sec filings, journals, white papers, SOFT presentations, and company web sites.
Market Size EstimationBoth, top-down and bottom-up approaches were used to estimate and validate the size of the Global market and to estimate the size of various other dependent submarkets in the overall Extra Neutral Alcohol. The key players in the market were identified through secondary research and their market contributions in the respective geographies were determined through primary and secondary research.
Forecast Model
