The Emergen Research Global Deep Neural Networks Market research study is a thorough compilation of analytical data regarding the Deep Neural Networks sector. The study contains a segmentation of the Deep Neural Networks market as well as a thorough analysis of the market’s size in terms of volume and value. The analysis includes a comprehensive prognosis for the years 2020–2027 in addition to the existing Deep Neural Networks market status. The Deep Neural Networks Market Study carefully examines the historical, present, and projected revenue for each industry vertical, sector, end-use industry, application, and region.
The global deep neural network market is projected to reach USD 5.98 billion in 2027. The market is expected to be driven by the extensive rise in big data analytics, the emergence of deep learning through neural networks, and cognitive analytical procedures in various verticals, including IT and telecommunications, BFSI, e-commerce, and healthcare, among others. The rising implementation of deep neural networks in clinical diagnosis, image and signal analysis and interpretation, and drug and vaccine development, among others, is propelling 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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Global Deep Neural Networks Market Highlights:
- Regional demand estimation and forecast
- Product Mix Matrix
- R&D Analysis
- Cost-Benefit Analysis
- Pre-commodity pricing volatility
- Supply chain optimization analysis
- Technological updates analysis
- Raw Material Sourcing Strategy
- Competitive Analysis
- Mergers & Acquisitions
- Location Quotients Analysis
- Carbon Footprint Analysis
- Patent Analysis
- Vendor Management
The latest study provides an insightful analysis of the broad competitive landscape of the global Deep Neural Networks market, emphasizing the key market rivals and their company profiles. A wide array of strategic initiatives, such as new business deals, mergers & acquisitions, collaborations, joint ventures, technological upgradation, and recent product launches, undertaken by these companies has been discussed in the report. The report analyzes various elements of the market’s competitive scenario, such as the regulatory standards and policies implemented across the industry over recent years. Our team of experts has leveraged several powerful analytical tools, such as Porter’s Five Forces analysis and SWOT analysis, to deliver a comprehensive overview of the global Deep Neural Networks market and pinpoint the fundamental growth trends.
Key Companies Profiled in the Report are:
Google, Oracle, Microsoft, IBM, Qualcomm, Intel, Ward Systems, Starmind, Neurala, NeuralWare, and Clarifai
Key Parameters Analyzed in This Section:
- Company Profiles
- Gross Revenue
- Profit margins
- Product sales trends
- Product pricing
- Industry Analysis
- Sales & distribution channels
- North America
- Latin America
- Middle East & Africa
- Asia Pacific
Key Points Covered in This Section:
- Regional contribution
- Estimated revenue generation
- Vital data and information about the consumption rate in all the leading regional segments
- An expected rise in market share
- Forecast growth in the overall consumption rate
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Further key findings from the report suggest
- Software and applications are the most commonly used attributes that have been incorporating deep neural networks in use for research simulators, building visualization to monitor training process, simulate the behavior of the consumers using the apps and software, among others. Software and application sub-segment is growing at a CAGR of 22.6% throughout the forecast period.
- 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.
- 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.
The report bifurcates the Deep Neural Networks market on the basis of different product types, applications, end-user industries, and key regions of the world where the market has already established its presence. The report accurately offers insights into the supply-demand ratio and production and consumption volume of each segment.
Segments Covered in this report are:
- 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)
Additional information offered by the report:
- Along with a complete overview of the global Cobots market, the report provides detailed scrutiny of the diverse market trends observed on both regional and global levels.
- The report elaborates on the global Cobots market size and share governed by the major geographies.
- It performs a precise market growth forecast analysis, cost analysis, and a study of the micro- and macro-economic indicators.
- It further presents a detailed description of the company profiles of the key market contenders.
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