Summary

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.
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:
o Solutions
o Platform/API
o Services
• Market, By Application:
o Image Recognition
o Signal Recognition
o Data Mining
o 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:
o North-East
o Mid-West
o West
o 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).

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Table of Contents

1. Product Overview
2. Research Methodology
3. Executive Summary
4. Voice of Customer
5. United States Artificial Neural Network Market Outlook
5.1. Market Size and Forecast
5.1.1. By Value
5.2. Market Share and Forecast
5.2.1. By Component (Solutions, Platform/API and Services)
5.2.2. By Application (Image Recognition, Signal Recognition, Data Mining and Others)
5.2.3. By Deployment Mode (Cloud and On-Premises)
5.2.4. By Organization Size (Small & Medium-Sized Enterprises and Large Enterprises)
5.2.5. By Industry Vertical (Banking, Financial Services & Insurance, Retail & Ecommerce, IT & Telecom, Manufacturing, Healthcare & Life Sciences, and Others)
5.2.6. By Company
5.2.7. By Region
5.3. Product Market Map
6. North-East Artificial Neural Network Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Component
6.2.2. By Application
6.2.3. By Industry Vertical
7. Mid-West 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. 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. South 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. Market Dynamics
10.1. Drivers
10.2. Challenges
11. Market Trends & Developments
12. Competitive Landscape
12.1. Company Profiles (Leading companies)
12.1.1. Google
12.1.2. IBM
12.1.3. Oracle
12.1.4. Microsoft
12.1.5. Intel
12.1.6. Qualcomm
12.1.7. Ward Systems
12.1.8. GMDH, LLC
12.1.9. NeuralWare
12.1.10. Clarifai
13. Strategic Recommendations
14. About Us & Disclaimer