The Global Deep Neural Networks Market is projected to reach USD 5.98 billion in 2027. The market is expected to be driven owing to extensive rise in the big data analytics, emergence of the deep learning through neural networks and cognitive analytical procedures in various verticals including IT & Telecommunication, BFSI, e-commerce, and healthcare, among others. The rising implementation of the deep neural networks in clinical diagnosis, image & signal analysis and interpretation, and drug & vaccine development, among others, are propelling the market growth broadly. The BFSI sector segment had a mentionable market share due to numerous application areas related to financial analysis, predictive costing, risk investigation, and others.
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By eliminating the logical burden from an application developer and disregarding the rule-based preset algorithms, deep neural networks sets an artificial humanlike cognizance which further opens up a wide range of new possibilities to solve many kind of applications without a human inspector. Incorporating neural networks make the computer visions quite easier to work with and extends the limit of what the conventional programming could do.
Global Deep Neural Networks Market COVID-19 Analysis
The report offers an extensive analysis of the factors that are likely to influence the growth of the industry. The research study considers the COVID-19 pandemic a key growth influencing factor. The pandemic has negatively impacted the Deep Neural Networks industry through disruptions in global supply chains and grueling economic conditions. The report extensively analyzes the impact of the pandemic on the Deep Neural Networks market on a global as well as regional scale. To be updated, the report is furnished with the latest impact of the currently unfolding coronavirus pandemic on the Deep Neural Networks industry. The pandemic began in late 2019 and hit the world in early 2020, disrupting the normal lives and affecting every segment of the world. The report covers the impact of the pandemic on the Deep Neural Networks market and its key segment. The report also offers an initial and future assessment of the impact of the pandemic on the Deep Neural Networks market and offers revenue estimations in a post-COVID-19 scenario.
Revenue and cost profit analysis of major player dominating the Deep Neural Networks market
The report also takes into consideration the effect of the different restrictions imposed in different regions on the Deep Neural Networks industry and its key segments. It also offers a current and future impact analysis of the pandemic on the overall Deep Neural Networks market.
The deep neural networks are widely used in the field of visualization and visual analytics for the communicating information and discovering meaningful insights by using various visual encodings to transform the abstract data into useful representations.
In 2018, Switzerland based leading AI Tech Company, Starmind, announced an investment of USD 15 Million in its self-learning next generation designing and algorithms, based on the artificial neural network.
Key players in the market include Google, Oracle, Microsoft, IBM, Qualcomm, Intel, Ward Systems, Starmind, Neurala, NeuralWare, and Clarifai, among others.
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The segmentation of the market is done on the basis of product types, application spectrum, and the key regions of the Deep Neural Networks market. Along with this, the report also provides extensive coverage of the key companies and their strategic schemes to gain a substantial market position.
Component Outlook (Revenue: USD Billion; 2017-2027)
- Software & Application
Application Outlook (Revenue: USD Billion; 2017-2027)
- Data Preprocessing
- Analytical Tools
Deployment Mode Outlook (Revenue: USD Billion; 2017-2027)
End-Use Verticals Outlook (Revenue: USD Billion; 2017-2027)
- IT & Telecommunication
- Electronics & Semiconductors
- Aerospace & Defense
- Healthcare & Biotechnology
- Energy & Utilities
- Manufacturing Industries
- Retail & E-Commerce
The report offers a comprehensive overview of the global Deep Neural Networks market scenario pertaining to market value, volume, production and consumption rates, and market segmentation based on types, regions, and applications.
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The market is projected to see a substantial growth owing to its huge implementation in various sectors especially in North American region. Increasing use of advanced technology in BFSI, IT & Telecommunication and Healthcare sectors is anticipated to stimulate demand for the deep neural networks in the region.
Regional Outlook (Revenue: USD Billion; 2017-2027)
- North America
- Asia Pacific
- South Korea
- Rest of APAC
- Latin America
- Rest of LATAM
- Saudi Arabia
- Rest of MEA
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Key Questions Addressed in the Report:
- Who are the leading players of the Deep Neural Networks industry?
- Which region is expected to dominate the market in the coming years?
- What are the key applications of the Deep Neural Networks market?
- Which segment is expected to garner traction during the coming years?
- Report Overview
1.1 Research Scope
1.2 Key Deep Neural Networks market segments
1.3 Target players
1.4 Market analysis by type
1.5 Market analysis by application
1.6 Key learning objectives
1.7 Report timeline
- Global Growth Trends
2.1 Global Deep Neural Networks market size
2.2 Latest trends of the Deep Neural Networks market by region
2.3 Key corporate trends
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