Deep Neural Networks Market Forecast, Revenue, Demand, Growth and Key Companies Valuation by 2028
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.
The report provides Deep Neural Networks market forecast,
supported by detailed insights historical data and revenues, past and current
market trends, industry trends, consumer trends, market size, market share,
market growth, along with ranging impacts of each factor and driver. It also
provides analysis of various factors expected to restrain or limit potential
growth in market size over the forecast period, 2020–2028. The report includes
profiles of major players in the market, strategies being employed, mergers,
acquisitions, recent developments, agreements, contracts, new product development
and launches, segment revenue, investment details as well as financials.
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Global Deep Neural Networks market forecast has been provided
following thorough study, focus, comparison, and analysis of a varying range of
factors and past market forecast and present outcomes. Deep Neural Networks
Market forecast is made possible through, but has not been limited to, a study
and analysis of a variety of factors and trends, and these are verified through
interviews with industry experts and companies operating in the market.
Rising focus by major companies on product/service expansion into
new and untapped domestic markets, increasing investments in strategic
agreements, favourable government policies and regulations, and growing
competition in the market are some major trends observed in the Deep Neural
Networks market. Development of more advanced offerings is driving rising
demand and deployment in respective sectors/industries, and this is expected to
drive Deep Neural Networks market revenue growth to a significant extent over
the forecast period.
- Key players in
the market include Google, Oracle, Microsoft, IBM, Qualcomm, Intel, Ward
Systems, Starmind, Neurala, NeuralWare, and Clarifai, among others.
On the basis of the end users/applications, this report focuses on
the status and outlook for major applications/end users, consumption (sales),
market share and growth rate for each application, including
For the purpose of this report, Emergen Research has segmented
into the global Deep Neural Networks Market on the basis of Component, Application,
Deployment Mode, End-Use Verticals, and region:
Component Outlook (Revenue: USD Billion; 2017-2027)
- Software &
Application
- Services
Application Outlook (Revenue: USD Billion; 2017-2027)
- Data
Preprocessing
- Analytical Tools
- Visualization
- Optimization
- Others
Deployment Mode Outlook (Revenue: USD Billion; 2017-2027)
- Cloud
- On-Premises
End-Use Verticals Outlook (Revenue: USD Billion; 2017-2027)
- BFSI
- IT &
Telecommunication
- Electronics
& Semiconductors
- Aerospace &
Defense
- Healthcare &
Biotechnology
- Energy & Utilities
- Manufacturing
Industries
- Retail &
E-Commerce
- Others
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Incorporated with Info-graphics, charts, 70 tables and 85 figures,
this 250-page research report “Deep Neural Networks Market Size, Type,
Application, End-Use Industry, Regional Outlook, Competitive Strategies and
Forecasts, 2020 - 2027” is based on a complete research of the entire Global
market and covering all its sub-segments through comprehensively thorough
classifications. Insightful analysis and assessment are created from superior
primary and secondary information sources with data and information derived
from industry specialists across the value chain.
Region wise performance of the Deep Neural Networks industry
North America Deep Neural Networks market forecast is expected to
remain significantly positive in terms of revenue share between 2020 and 2028.
In addition, North America Deep Neural Networks market revenue share is
expected to remain comparatively larger than that of other regional markets
from 2020 to 2028.
Asia Pacific registered fastest revenue CAGR in 2020, and the Deep
Neural Networks market forecast is that this trend is expected to continue
going ahead. Market forecast states that revenue share contribution from China,
India, and South Korea is expected to remain robust till 2028.
Europe Deep Neural Networks market forecast is positive currently,
with revenue growth expected to remain steady between 2020 and 2028. Robust
focus on research and development initiatives by major firms and changing
trends and demographics in countries in the region are some factors expected to
continue to support Deep Neural Networks market growth.
Geographically, this report studies the key regions, focuses on
product sales, value, market share and growth opportunity in these regions,
covering:
- United States
- Europe
- China
- Japan
- Southeast Asia
- India
We can also provide the customized separate regional or
country-level reports, for the following regions:
North America, United States, Canada, Mexico, Asia-Pacific, China,
India, Japan, South Korea, Australia, Indonesia, Singapore, Rest of Asia-Pacific,
Europe, Germany, France, UK, Italy, Spain, Russia, Rest of Europe, Central
& South America, Brazil, Argentina, Rest of South America, Middle East
& Africa, Saudi Arabia, Turkey, Rest of Middle East & Africa
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The research provides answers to the following key questions:
- What will be the
growth rate and the market size of the Deep Neural Networks industry for
the forecast period 2020-2027?
- What are the
major driving forces expected to impact the development of the Deep Neural
Networks market across different regions?
- Who are the
major driving forces expected to decide the fate of the Deep Neural
Networks industry worldwide?
- Who are the
prominent market players making a mark in the Deep Neural Networks market
with their winning strategies?
- Which Deep
Neural Networks industry trends are likely to shape the future of the
industry during the forecast period 2020-2027?
- What are the key
barriers and threats believed to hinder the development of the industry?
- What are the
future opportunities in the Deep Neural Networks market?
Table of Content
Chapter 1. Methodology & Sources
1.1. Deep Neural Networks 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. Deep Neural Networks Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2021-2028
Chapter 3. Key Insights
Chapter 4. Deep Neural Networks Market Segmentation & Impact
Analysis
4.1. Deep Neural Networks Market Material
Segmentation Analysis
4.2. Industrial Outlook
4.2.1. Deep
Neural Networks Market indicators analysis
4.2.2. Deep
Neural Networks Market drivers analysis
4.2.2.1. Rapid urbanization and industrialization
4.2.2.2. Stringent government regulations regarding carbon emissions
4.2.2.3. Increasing prevalence of respiratory diseases
4.2.2.4. Rising need to enhance indoor air quality
4.2.3. Deep
Neural Networks Market restraints analysis
4.2.3.1. High cost associated with the maintenance of Deep Neural Networks
products
4.2.3.2. Availability of renewable sources of energy
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 10. Competitive Landscape
10.1. Deep Neural Networks Market Revenue Share
By Manufacturers
10.2. Mergers & Acquisitions
10.3. Competitor’s Positioning
10.4. Strategy Benchmarking
10.5. Vendor Landscape
10.5.1. Raw
Material Suppliers
10.5.1.1. North America
10.5.1.2. Europe
10.5.1.3. Asia Pacific
10.5.1.4. Middle East & Africa
10.5.1.5. Latin America
10.5.2.
Distributors
10.5.2.1. North America
10.5.2.2. Europe
10.5.2.3. Asia Pacific
10.5.2.4. Middle East & Africa
10.5.2.5. Latin America
10.5.3.
Others
Continued….
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11.
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