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Rising adoption of cloud-based technology and increasing usage of deep learning systems in big data analytics is driving growth of the market
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.
The latest market intelligence report, titled ‘Global Deep Learning System Market’, is intended to provide the target audience with the necessary information about the global Deep Learning System industry.
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.
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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.
The report contains unbiased industry expert opinions on the current market scenario, past market performance, production & consumption rates, demand & supply ratio, and revenue generation forecasts over the estimated period. Furthermore, several analytical tools like investment assessment, SWOT analysis, and Porter’s Five Forces Analysis have been implemented by our analysts’ team to evaluate the production and distribution capacities of the Deep Learning System market players.
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The research study presents an industry-wide summary of the Deep Learning System market, including drivers, constraints, technological advancements, product developments, limitations, growth strategies, growth prospects, etc. among others. The Deep Learning System7 report analyzes the market based on different categories, such as product types, end-user applications, and leading geographical regions.
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.
Segmental Analysis:
The Deep Learning System market report provides an in-depth analysis of the key competitors operating in the industry. The report offers insights into their product portfolio, business overview, financial standing, market position, revenue generation, market share and market size, and production and manufacturing capacity along with pricing analysis.
Emergen Research has segmented the global deep learning system market on the basis of product, application, end-use, and region:
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Regional Analysis:
The Deep Learning System industry report mainly focuses on the key market regions where the market is spread, including North America, Latin America, Europe, Asia Pacific, and Middle East & Africa. The report further focuses on the key segments of the market, such as product types, application spectrum, technology, end-user industries, among others.
Major Geographies Analyzed in the Report:
Key Questions Answered in the Report:
Take a look “Table of Content Deep Learning System market”:
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
Chapter 5. Deep Learning System Market By Offering Insights & Trends, Revenue (USD Billion)
5.1. Offering Dynamics & Market Share, 2021 & 2028
5.1.1. Software
5.1.1.1. Solution (Software Framework/SDK)
5.1.1.2. Platform/API
5.1.2. Hardware
5.1.2.1. Processor
5.1.2.2. Network
5.1.2.3. Memory
5.1.3. Services
5.1.3.1. Training
5.1.3.2. Installation
5.1.3.3. Support & Maintenance
Chapter 6. Deep Learning System Market By Application Insights & Trends, Revenue (USD Billion)
6.1. Application Dynamics & Market Share, 2021 & 2028
6.1.1. Signal Recognition
6.1.2. Image Recognition
6.1.3. Data Mining
6.1.4. Others
Chapter 7. Deep Learning System Market By End-use Insights & Trends Revenue (USD Billion)
7.1. End-use Dynamics & Market Share, 2021 & 2028
7.1.1. Manufacturing
7.1.2. Healthcare
7.1.3. Agriculture
7.1.4. Automotive
7.1.5. Retail
7.1.6. Security
7.1.7. Human Resources
7.1.8. Law
7.1.9. Marketing
7.1.10. Fintech
Continue..!!
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