Global Artificial Neural Network Market to Reach $258.45 Million by 2027 - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "Global Artificial Neural Network Market (2022-2027) by Component, Organization Size, Application, Deployment Mode, Industry Vertical, and Geography, with Competitive Analysis, Impact of COVID-19, and Ansoff Analysis" report has been added to ResearchAndMarkets.com's offering.

The Global Artificial Neural Network Market is estimated to be worth USD 171.88 million in 2022, and is expected to reach USD 258.45 million by 2027, growing at a CAGR of 8.5%.

Market Segmentation

The Global Artificial Neural Network Market is segmented based on Component, Organization Size, Application, Deployment Mode, Industry Vertical, and Geography.

• By Component, the market is classified into Platform/API, Services and Solution.
• By Organization Size, the market is classified into Large Enterprises and Small and Medium-Sized Enterprises.
• By Application, the market is classified into Data Mining, Image Recognition, Signal Recognition and Others.
• By Deployment Mode, the market is classified into On-Cloud and On-Premises.
• By Industry Vertical, the market is classified into Banking, Financial Services, & Insurance, Government and Defense, Healthcare and Life Sciences, Manufacturing, Retail and eCommerce, Telecommunications and IT, Transportation and Logistics and Others.
• By Geography, the market is classified into Americas, Europe, Middle-East & Africa, and Asia-Pacific.

Countries Studied

• Americas (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
• Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
• Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
• Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)

Ansoff Analysis

• The report presents a detailed Ansoff matrix analysis for the Global Artificial Neural Network Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.
• The Global Artificial Neural Network Market is analyzed using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.
• Based on the SWOT analysis conducted on the industry and industry players, suitable strategies have been devised for market growth.

Why Buy This Report?

• The report offers a comprehensive evaluation of the Global Artificial Neural Network Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
• The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel within the industry.
• The report includes an in-depth market analysis using Porter's 5 forces model and the Ansoff Matrix. In addition, the impact of COVID-19 on the market is also featured in the report.
• The report also includes the regulatory scenario within the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules & regulations imposed on this sector across various geographies.
• The report also contains competitive analysis using 'Positioning Quadrants'; a proprietary competitive positioning tool.

Market Dynamics

Drivers

• Increased Demand due to Enhanced Processing Power, Learning Ability, and Speed of Neural Networks
• Demand to Train Large Volumes of Data Sets with Low Supervision
• Increased Demand for Prediction Solutions Such as Predicting Consumer Behavior and Sales Forecasting
• Increasing Demand to Detect Complex Nonlinear Relationships Between Variables and Recognize Patterns in Big Data

Restraints

• Difficulty in Tracking the Results of In-process Stages
• Lack of Trained Professionals

Opportunities

• Increased Use of ANN in IoT
• Extrapolation Issues in ANN Being a Drawback to the Market

Challenges

• Reduced Trust Due to Unexplained Behavior of the Network

Key Topics Covered:

1 Report Description

2 Research Methodology

3 Executive Summary

4 Market Dynamics

5 Market Analysis

6 Global Artificial Neural Network Market, by Component

7 Global Artificial Neural Network Market, by Organization Size

8 Global Artificial Neural Network Market, by Application

9 Global Artificial Neural Network Market, by Deployment Mode

10 Global Artificial Neural Network Market, by Industry Vertical

11 Americas' Artificial Neural Network Market

12 Europe's Artificial Neural Network Market

13 Middle East and Africa's Artificial Neural Network Market

14 APAC's Artificial Neural Network Market

15 Competitive Landscape

16 Company Profiles

17 Appendix

Companies Mentioned

• aiMotive
• Algorithmia, Inc.
• Alyuda Research, LLC
• Anki, Inc.
• Atomwise, Inc.
• Clarifai, Inc.
• GMDH, Inc.
• Google LLC
• IBM
• Intel Corp.
• Microsoft Corp.
• nDimensional, Inc.
• Neurala, Inc.
• Neuralware Technologies Ltd.
• Oracle Corp.
• OSIsoft, LLC
• Qualcomm, Inc.
• SAP SE
• Starmind
• Ward Systems Group Inc.

For more information about this report visit https://www.researchandmarkets.com/r/nco0zg