As on date of publishing, this report will capture the impact assessment of COVID-19 on this market and the same will be considered in our market forecast model. Clients purchasing this report between April and June 2020 will be getting a ‘free’ updated market data excel sheet between July and September 2020 accounting for the impact of COVID-19 on the market in the current year 2020 and forecast.

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 and others.

Years considered for this report:

Historical Years: 2015-2018

Base Year: 2019

Estimated Year: 2020

Forecast Period: 2021–2025

Objective 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.

Click here to download the sample

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.

Key Target Audience:

  • Artificial neural network service providers, vendors and other stakeholders
  • Government bodies such as regulating authorities and policy makers
  • Organizations, forums and alliances related to artificial neural network
  • 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.

Report Scope:

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:
    • Solutions
    • Platform/API
    • Services
  • Market, By Application:
    • Image Recognition
    • Signal Recognition
    • Data Mining
    • Others
  • Market, By Deployment Model:

o   Cloud

o   On-Premises

  • Market, By Organization Size:

o   Small & Medium-Sized Enterprises

o   Large Enterprises

  • Market, By Industry Vertical:

o   Banking

o   Financial Services & Insurance

o   Retail & Ecommerce

o   IT & Telecom

o   Manufacturing

o   Healthcare & Life Sciences

o   Others

  • Market, By Region:
    • North-East
    • Mid-West
    • West
    • South

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in United States artificial neural network market.

Available Customizations:

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:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

It is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at sales@techsciresearch.com  

In case you don’t find what you are looking for, please get in touch with our custom research team at sales@techsciresearch.com

1.    Product Overview

2.    Research Methodology

3.    Impact of COVID-19 on United States Artificial Neural Network Market

4.    Executive Summary

5.    Voice of Customer

6.    United States Artificial Neural Network Market Outlook

6.1.  Market Size and Forecast

6.1.1.   By Value

6.2.  Market Share and Forecast

6.2.1.   By Component (Solutions, Platform/API and Services)

6.2.2.   By Application (Image Recognition, Signal Recognition, Data Mining and Others)

6.2.3.   By Deployment Mode (Cloud and On-Premises)

6.2.4.   By Organization Size (Small & Medium-Sized Enterprises and Large Enterprises)

6.2.5.   By Industry Vertical (Banking, Financial Services & Insurance, Retail & Ecommerce, IT & Telecom, Manufacturing, Healthcare & Life Sciences, and Others)

6.2.6.   By Company

6.2.7.   By Region

6.3.    Product Market Map

7.    North-East Artificial Neural Network Market Outlook

7.1.  Market Size & Forecast       

7.1.1.   By Value

7.2.  Market Share & Forecast

7.2.1.   By Component

7.2.2.   By Application

7.2.3.   By Industry Vertical

8.    Mid-West Artificial Neural Network Market Outlook

8.1.  Market Size & Forecast       

8.1.1.   By Value

8.2.  Market Share & Forecast

8.2.1.   By Component

8.2.2.   By Application

8.2.3.   By Industry Vertical

9.    West Artificial Neural Network Market Outlook

9.1.  Market Size & Forecast       

9.1.1.   By Value

9.2.  Market Share & Forecast

9.2.1.   By Component

9.2.2.   By Application

9.2.3.   By Industry Vertical

10.  South Artificial Neural Network Market Outlook

10.1.          Market Size & Forecast

10.1.1.                By Value

10.2.          Market Share & Forecast

10.2.1.                By Component

10.2.2.                By Application

10.2.3.                By Industry Vertical

11.  Market Dynamics

11.1.           Drivers

11.2.           Challenges

12.  Market Trends & Developments

13.  Competitive Landscape

13.1.          Company Profiles (Leading companies)

13.1.1.                Google

13.1.2.                IBM

13.1.3.                Oracle

13.1.4.                Microsoft

13.1.5.                Intel

13.1.6.                Qualcomm

13.1.7.             Ward Systems

13.1.8.             GMDH, LLC

13.1.9.               NeuralWare

13.1.10.                     Clarifai

14.   Strategic Recommendations

15.   About Us & Disclaimer

 (Note: The companies list can be customized based on the client requirements)

In case you don’t find what you are looking for, please get in touch with our custom research team at sales@techsciresearch.com