+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Global Artificial Neural Network Market (2023-2028) Competitive Analysis, Impact of Covid-19, Ansoff Analysis

  • PDF Icon


  • 174 Pages
  • February 2024
  • Infogence Global Research
  • ID: 5650758

The development of handwriting recognition systems and image processing systems has spurred the use of artificial neural networks in commercial applications

The Global Artificial Neural Network Market is estimated to be USD 186.49 Mn in 2023 and is expected to reach USD 280.55 Mn by 2028 growing at a CAGR of 8.51%.

Market Dynamics

Market dynamics are forces that impact the prices and behaviors of the stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.

As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.

Market Segmentations

  • 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.

Company Profiles

The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are aiMotive, Algorithmia, Inc., Alyuda Research, LLC, Anki, Inc., Atomwise, Inc., Clarifai, Inc., GMDH, Inc., etc.

Countries Studied

  • America (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)

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

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 publisher analyses the Global Artificial Neural Network Market 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, the publisher has devised suitable strategies 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 in 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 in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
  • The report also contains the competitive analysis using Positioning Quadrants, the Proprietary competitive positioning tool.

Report Highlights:

  • A complete analysis of the market, including the parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market

Table of Contents

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Stakeholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size, Segmentations, and Outlook
4 Market Dynamics
4.1 Drivers
4.1.1 Increased Demand due to Enhanced Processing Power, Learning Ability, and Speed of Neural Networks
4.1.2 Demand to Train Large Volumes of Data Sets with Low Supervision
4.1.3 Increased Demand for Prediction Solutions Such as Predicting Consumer Behavior and Sales Forecasting
4.1.4 Increasing Demand to Detect Complex Nonlinear Relationships Between Variables and Recognize Patterns in Big Data
4.2 Restraints
4.2.1 Difficulty in Tracking the Results of In-process Stages
4.2.2 Lack of Trained Professionals
4.3 Opportunities
4.3.1 Increased Use of ANN in IoT
4.3.2 Extrapolation Issues in ANN Being a Drawback to the Market
4.4 Challenges
4.4.1 Reduced Trust Due to Unexplained Behavior of the Network
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter's Five Forces Analysis
5.3 Impact of COVID-19
5.4 Ansoff Matrix Analysis
6 Global Artificial Neural Network Market, By Component
6.1 Introduction
6.2 Platform/API
6.3 Services
6.4 Solution
7 Global Artificial Neural Network Market, By Organization Size
7.1 Introduction
7.2 Large Enterprises
7.3 Small and Medium-Sized Enterprises
8 Global Artificial Neural Network Market, By Application
8.1 Introduction
8.2 Data Mining
8.3 Image Recognition
8.4 Signal Recognition
8.5 Others
9 Global Artificial Neural Network Market, By Deployment Mode
9.1 Introduction
9.2 On-Cloud
9.3 On-Premises
10 Global Artificial Neural Network Market, By Industry Vertical
10.1 Introduction
10.2 Banking, Financial Services, & Insurance
10.3 Government and Defense
10.4 Healthcare and Life Sciences
10.5 Manufacturing
10.6 Retail and eCommerce
10.7 Telecommunications and IT
10.8 Transportation and Logistics
10.9 Others
11 Americas’ Artificial Neural Network Market
11.1 Introduction
11.2 Argentina
11.3 Brazil
11.4 Canada
11.5 Chile
11.6 Colombia
11.7 Mexico
11.8 Peru
11.9 United States
11.10 Rest of Americas
12 Europe’s Artificial Neural Network Market
12.1 Introduction
12.2 Austria
12.3 Belgium
12.4 Denmark
12.5 Finland
12.6 France
12.7 Germany
12.8 Italy
12.9 Netherlands
12.10 Norway
12.11 Poland
12.12 Russia
12.13 Spain
12.14 Sweden
12.15 Switzerland
12.16 United Kingdom
12.17 Rest of Europe
13 Middle East and Africa’s Artificial Neural Network Market
13.1 Introduction
13.2 Egypt
13.3 Israel
13.4 Qatar
13.5 Saudi Arabia
13.6 South Africa
13.7 United Arab Emirates
13.8 Rest of MEA
14 APAC’s Artificial Neural Network Market
14.1 Introduction
14.2 Australia
14.3 Bangladesh
14.4 China
14.5 India
14.6 Indonesia
14.7 Japan
14.8 Malaysia
14.9 Philippines
14.10 Singapore
14.11 South Korea
14.12 Sri Lanka
14.13 Thailand
14.14 Taiwan
14.15 Rest of Asia-Pacific
15 Competitive Landscape
15.1 Competitive Quadrant
15.2 Market Share Analysis
15.3 Strategic Initiatives
15.3.1 M&A and Investments
15.3.2 Partnerships and Collaborations
15.3.3 Product Developments and Improvements
16 Company Profiles
16.1 aiMotive
16.2 Algorithmia, Inc.
16.3 Alyuda Research, LLC
16.4 Anki, Inc.
16.5 Atomwise, Inc.
16.6 Clarifai, Inc.
16.7 GMDH, Inc.
16.8 Google LLC
16.9 IBM
16.10 Intel Corp.
16.11 Microsoft Corp.
16.12 nDimensional, Inc.
16.13 Neurala, Inc.
16.14 Neuralware Technologies Ltd.
16.15 Oracle Corp.
16.16 OSIsoft, LLC
16.17 Qualcomm, Inc.
16.18 SAP SE
16.19 Starmind
16.20 Ward Systems Group Inc.
17 Appendix
17.1 Questionnaire

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.