The global deep learning system market size is expected to reach USD 93.34 Billion at a steady CAGR of 39.1% in 2028, according to latest analysis by Emergen Research. The market for deep learning systems is expanding at a faster rate as a result of increased processing power and falling hardware costs. The market for deep learning systems is expanding as a result of the rise in smart devices and the use of embedded AI and deep learning to improve their features.
Industry expansion is anticipated to be fueled by key market players investing more money into cutting-edge technology to speed up data mining operations and deep learning-based voice and picture recognition. In order for autonomous vehicles to detect stop signs or tell things from pedestrians apart, deep learning is a key technique. Deep learning can enable autonomous vehicles to function with the aid of millions of different AI models as they travel on roads. The technique is also used in the defence and aerospace industries to improve security.
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Deep learning systems have been increasingly adopted as a result of the widespread creation of unstructured data and growing use of cloud-based services. However, future market expansion may be limited to some extent by factors including expensive training costs and a lack of technical knowledge. Other factors that are anticipated to affect market growth include high installation costs and compatibility problems.
The Global Deep Learning System Market report assesses the historical and current data along with a thorough analysis of the market dynamics. The report also sheds light on the significant market growth driving and restraining factors that are anticipated to influence the market growth through the forecast period. The Global Deep Learning System Market studies the market scenario to offer growth projections for the Deep Learning System industry for the forecast period of 2021-2028. The report focuses on potential growth opportunities and limitations the prominent players of the industry might face during the entirety of the forecast timeline.
Key players involved:
Google, Intel, IBM, Qualcomm, Amazon Web Services (AWS), Samsung Electronics, Micron Technology, Nvidia, Sensory Inc., and Microsoft Corporation.
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Key Highlights in the Report
In March 2021, Locus, which is a proprietary user of algorithms and deep machine learning to offer smart logistics solutions to customers, partnered with Lytx, video telematics, safety, analytics, and productivity solution provider for public and commercial sector fleets. Locus will use Lytx GPS location information on vehicles to provide optimized routes to users.
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.
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
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Additionally, the report covers the analysis of the key players in the industry with a special focus on their global position, financial status, and their recent developments. Porter’s Five Forces Analysis and SWOT analysis have been covered by the report to provide relevant data on the competitive landscape.
Detailed Regional Analysis covers:
North America (U.S., Canada)
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia-Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
Table of Contents:
Chapter 1 includes an introduction of the global Deep Learning System market, along with a comprehensive market overview, market scope, product offerings, and an investigation of the market drivers, growth opportunities, risks, restraints, and other vital factors.
Chapter 2 offers an in-depth analysis of the key manufacturers engaged in this business vertical, along with their sales and revenue estimations.
Chapter 3 elaborates on the highly competitive terrain of the market, highlighting the key manufacturers and vendors.
In Chapter 4, our team has fragmented the market on the basis of regions, underscoring the sales, revenue, and market share of each region over the forecast timeline.
Chapters 5 and 6 have laid emphasis on the market segmentation based on product type and application.
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