Recent Development In Deep Learning System Software Market With Emerging Technologies, Business Oppo

By Author: Dittya
Total Articles: 16
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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 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.
A new market assessment report on deep learning system market brings to light a detailed statistics on the dramatic shift in the competitive landscape and business environment of the deep learning system market for the forecast period 2020 - 2027. The comprehensive study offers an overview of the current state of development of the business as well as predicts the course of progress across different regions. A large number of factors including the major driving forces, threats and opportunities are taken into account to present an analytical picture of the industry portrayed in the report.
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... Key Highlights From 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. The partnership will enable fleet managers to save on total ownership costs by optimizing expenses on fuel economy monitoring, compliance management, and predictive maintenance alerts.

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. Additionally, rise in the number of pilot projects by governments in APAC for deployment of Artificial Intelligence technology in medical and agriculture sectors is expected to support market growth.

Key players in the market include Google, Intel, IBM, Qualcomm, Amazon Web Services (AWS), Samsung Electronics, Micron Technology, Nvidia, Sensory Inc., and Microsoft Corporation.

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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

Regional Outlook (Revenue, USD Billion; 2018–2028)
North America
Europe
Asia Pacific
Latin America
MEA

Table of Content
Chapter 1. Methodology & Sources
1.1. Deep Learning System Market Definition
1.2. Deep Learning System Market Research Scope
1.3. Deep Learning System Market Methodology
1.4. Deep Learning System Market Research Sources
1.4.1. Primary
1.4.2. Secondary
1.4.3. Paid Sources
1.5. Deep Learning System Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2019-2027
Chapter 3. Key Insights
Chapter 4. Deep Learning System Market Segmentation & Impact Analysis
Continued…