According to latest analysis by Emergen Research, the deep learning system market is witnessing increased growth due to improvement in computing power and reducing hardware cost. Increase in the number of smart devices and usage of embedded Artificial Intelligence and deep learning to enhance features of these devices is driving growth of the deep learning system market.
Increasing investment by major players in the market in advanced technologies to facilitate data mining processes and deep learning-based speech and image recognition are factors expected to propel market growth. Deep learning is an important technology behind autonomous cars, which enables vehicles to recognize stop signs or distinguish objects from pedestrians. As autonomous vehicles navigate on roads, deep learning can allow the car to act with the help of millions of individual Artificial Intelligence models. The technology also finds application in security in defense & aerospace sectors. Growing adoption of cloud-based services and extensive generation of unstructured data has fostered adoption of deep learning systems. However, factors such as high cost of training and lack of technical expertise could hamper growth of the market to some extent going ahead. High cost of installation and compatibility issues are other factors expected to impact market growth.
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The study offers comprehensive coverage of the qualitative and quantitative analysis of the Deep Learning System market along with crucial statistical data about the Deep Learning System market. The research study provides historical data and offers accurate forecast estimation until 2028. The report also profiles established and emerging players of the market, covering the business overview, product portfolio, strategic alliances, and business expansion strategies.
Key players in the market include Google, Intel, IBM, Qualcomm, Amazon Web Services (AWS), Samsung Electronics, Micron Technology, Nvidia, Sensory Inc., and Microsoft Corporation.
Highlights from the Report
Image recognition segment accounted for largest revenue share in 2020, as image recognition is one of the tasks of deep learning at which it excels. Deep learning software help radiologists deal with large workload of interpreting different medical images from ultrasound scans, computed tomography, and Magnetic Resonance Imaging (MRI).
Deep learning in healthcare is used in chabot, medical imaging solutions, and can also identify patterns in patient symptoms. The technology can identify specific types of cancer or rare types of pathogens. It also provides medical professionals with insights to help them identify health issues early on, thus delivering personalized and relevant patient care.
Deep learning system market revenue in Asia Pacific is expected to register the fastest CAGR over the forecast period, attributed to increasing R&D activities for the development of deep learning applications and growing adoption of cloud-based technologies in countries such as Japan.
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The report is an investigative study of the technological developments and product advancements, along with a regional analysis for each product and application offered in the market. The fundamental objective of the report is to give an insight into the workings of the Deep Learning System industry. It provides an accurate and strategic outlook of the market with a thorough assessment of the segments and sub-segments of the market. It provides a panoramic view of the industry to offer a deeper understanding of the global industry.
Emergen Research has segmented the global deep learning system market on the basis of product, application, end-use, and region:
Product Outlook (Revenue, USD Billion; 2018–2028)
- Software
- Solution (Software Framework/SDK)
- Platform/API
- Hardware
- Processor
- Network
- Memory
- Services
- Training
- Installation
- Support & Maintenance
Application Outlook (Revenue, USD Billion; 2018–2028)
- Signal Recognition
- Image Recognition
- Data Mining
- Others
End-use Outlook (Revenue, USD Billion; 2018–2028)
- Manufacturing
- Healthcare
- Agriculture
- Automotive
- Retail
- Security
- Human Resources
- Law
- Marketing
- Fintech
Key geographical areas:
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East & Africa
The report offers a comprehensive understanding of the impact of the COVID-19 pandemic on the overall market growth and expansion. COVID-19 has affected the global economy by interfering with production and demand, causing market disruption, and inducing financial instability.
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Key Points of Deep Learning System Market:
Extensive coverage of the analysis of the Deep Learning System market
Key insights into the regional spread of the industry in key geographies
Radical insights into the vital market trends; both current and emerging trends, and factors influencing the growth of the market
Comprehensive coverage of the impact of the COVID-19 pandemic on the overall growth of the Deep Learning System market
Complete data about the key manufacturers and vendors in the Deep Learning System market
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