United States artificial neural network market
is expected to grow at a formidable rate of around 10% during the forecast
period. The United States artificial neural network market is driven by the enhanced
processing power, learning ability and speed of neural networks. Additionally, increasing
use of emerging technologies to detect complex nonlinear relationship between
variables and patterns is further expected to propel the market during forecast
period. Furthermore, the growing demand to train large volumes of data sets
with low supervision fosters the market.
The United States artificial
neural network market is segmented based on component,
application, deployment mode, organization size, industry vertical, company and
region. Based on component, the market can be categorized into solutions,
platform/API and services. The solutions segment is expected to witness
significant growth during forecast period. This can be ascribed to the fact
that an efficient artificial neural network solution offers greater flexibility
to developers for programming owing to the ability to design and train
customized deep neural networks.
Additionally, artificial neural network solutions
help organizations to perform cognitive functions such as problem-solving and
machine learning. Based on application, the market can be fragmented into image
recognition, signal recognition, data mining and others. The data mining
segment dominates the market attributable to the growing demand to extract
hidden predictive information from huge databases.
Major players operating in the United
States artificial neural network market include Google, IBM,
Oracle, Microsoft, Intel, Qualcomm, Ward Systems, GMDH, LLC, NeuralWare, Clarifai
of the Study:
- To analyze and forecast the market size of United States artificial
neural network market.
- To classify and forecast United States artificial neural network market
based on component, application, deployment mode, organization size,
industry vertical, company and regional distribution.
- To identify drivers and challenges for United States artificial
neural network market.
- To examine competitive developments such as expansions, new product
launches, mergers & acquisitions, etc., in United States artificial
neural network market.
- To identify and analyze the profile of leading players operating in
United States artificial neural network market.
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TechSci Research performed both primary
as well as exhaustive secondary research for this study. Initially, TechSci
Research sourced a list of service providers across the region. Subsequently,
TechSci Research conducted primary research surveys with the identified
companies. While interviewing, the respondents were also enquired about their
competitors. Through this technique, TechSci Research could include the service
providers which could not be identified due to the limitations of secondary
research. TechSci Research analyzed the manufacturers, distribution channels
and presence of all major players across the region.
TechSci Research calculated the market size of United States artificial
neural network market using a bottom-up approach, wherein data for various
end-user segments was recorded and forecast for the future years. TechSci
Research sourced these values from the industry experts and company
representatives and externally validated through analyzing historical data of
these product types and applications for getting an appropriate, overall market
size. Various secondary sources such as company websites, news articles, press
releases, company annual reports, investor presentations and financial reports
were also studied by TechSci Research.
- Artificial neural network service providers, vendors and other
- Government bodies such as regulating authorities and policy makers
- Organizations, forums and alliances related to artificial neural
- Market research and consulting firms
The study is useful in providing answers to several critical
questions that are important for the industry stakeholders such as service
providers, partners, end users, etc., besides allowing them in strategizing
investments and capitalizing on market opportunities.
Revenue in USD Million and CAGR for 2017-2021 and 2022E-2027F
forecast, company share, competitive landscape, growth factors, and trends
Region, South Region, West Region, Mid-west Region
Key companies profiled
Google, IBM, Oracle, Microsoft, Intel, Qualcomm, Ward Systems,
GMDH, LLC, NeuralWare, Clarifai.
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In this report, United States artificial
neural network market has been segmented into following categories, in
addition to the industry trends which have also been detailed below:
- Market, By Component:
- Market, By Application:
- Image Recognition
- Signal Recognition
- Data Mining
- Market, By Deployment Model:
- Market, By Organization Size:
& Medium-Sized Enterprises
- Market, By Industry Vertical:
Services & Insurance
& Life Sciences
- Market, By Region:
analysis of the major companies present in United States artificial neural
With the given market data, TechSci Research offers
customizations according to a company’s specific needs. The following
customization options are available for the report:
- Detailed analysis and profiling of additional
market players (up to five).
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