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. 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.
In February 2024, DeepCube, which is a deep learning pioneer, announced the launch of a suite of products and services to aid in driving enterprise adoption of deep learning on intelligent edge devices and in data centers. The product is the industry’s first software-based deep learning accelerator, which drastically enhances performance on existing hardware.
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Some Key Highlights in the Report
- In March 2024, 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).
- Key players in the market include Google, Intel, IBM, Qualcomm, Amazon Web Services (AWS), Samsung Electronics, Micron Technology, Nvidia, Sensory Inc., and Microsoft Corporation.
Deep Learning System Market Segmentation:
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
- Software
Regional Fragmentation:
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)
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Additional information offered by the report:
- A complete overview of the global Deep Learning System market.
- Detailed examination of the various market dynamics, including drivers, opportunities, challenges, threats, constraints, and development prospects prevailing in the global market.
- Diverse market trends observed on regional and global levels. The report also elaborates on the market size and shares governed by the major geographies, combined with a precise growth forecast analysis, cost analysis, micro- and macro-economic indicators, and regulatory framework.
- A vivid analysis of the company profiles of the key market contenders operating in the global Deep Learning System market.
- Extensive research & development assessment, and a detailed study of the growing demand for new products and the increasing application of the existing andnew products.
Table Of Content:
Chapter 1. Methodology & Sources
1.1. Market Definition
1.2. Research Scope
1.3. Methodology
1.4. Research Sources
1.4.1. Primary
1.4.2. Secondary
1.4.3. Paid Sources
1.5. Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2020-2028
Chapter 3. Key Insights
Chapter 4. Deep Learning System Market Segmentation & Impact Analysis
4.1. Deep Learning System Market Material Segmentation Analysis
4.2. Industrial Outlook
4.2.1. Market indicators analysis
4.2.2. Market drivers analysis
4.2.2.1. Deep learning usage in big data analytics
4.2.2.2. Improving computing power and declining hardware cost
4.2.3. Market restraints analysis
4.2.3.1. Increasing complexity in hardware due to complex algorithm used in technology
4.3. Technological Insights
4.4. Regulatory Framework
4.5. Porter’s Five Forces Analysis
4.6. Competitive Metric Space Analysis
4.7. Price trend Analysis
4.8. Covid-19 Impact Analysis
READ MORE…!
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