Market Overview:
The global artificial neural networks market is expected to grow at a CAGR of xx% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for artificial intelligence and machine learning across different industries. Additionally, the growing adoption of cloud-based services is also contributing to the growth of this market. The global artificial neural networks market by type is segmented into feed forward artificial neural network, feedback artificial neural network, and others. The feed forward artificial neural network segment dominates the global market and is expected to grow at a CAGR of xx% during the forecast period from 2018 to 2030. This growth can be attributed to its ability to process large amounts of data in a short time span.
Product Definition:
Artificial Neural Networks are computer systems that are modeled on the workings of the brain. ANNs can be used to learn how to perform tasks by example, like a child learning how to speak. They are also used for pattern recognition, which is identifying patterns in data and using that information to make decisions.
Feed Forward Artificial Neural Network:
Feed forward artificial neural network is a special type of Artificial Neural Network (ANN) which has one or more layers of nonlinear processing units between input and output. The architecture has been widely used in various applications such as image recognition, sound recognition, machine learning and pattern classification. It's key features include compact size, faster training time & convergence speed along with the ability to deal with large data sets.
Feedback Artificial Neural Network:
Feedback Artificial Neural Network (FANN) is a type of artificial neural network that allows the processing of data in the form of input/output. It has been designed for applications where real-valued output is required as it possesses high learning capabilities and can learn from its own errors. FANN uses back propagation algorithm to compute an output value for every node in the network, based on inputs received from all previous nodes and weights associated with each connection.
Application Insights:
The telecommunications segment dominated the market in 2017 and is expected to maintain its lead over the forecast period. The growing demand for advanced communication systems such as 5G network is driving the adoption of artificial neural networks in this sector. Furthermore, increasing use of deep learning for image recognition and natural language processing has boosted industry growth.
The pharmaceutical segment accounted for a significant share in 2017 owing to factors such as high accuracy rates associated with these networks, their ability to recognize patterns fromomics data, and treatment options selection based on genetic profiles. Moreover, they are also used extensively by major companies such as Pfizer Inc., Merck KGaA., Novartis AG., etc.
Regional Analysis:
North America dominated the global market in 2017. This can be attributed to the presence of a large number of players, increased funding for research and development activities, and high adoption rate of advanced technologies across various industries. Moreover, growing demand for on-demand computing solutions is expected to drive growth over the forecast period.
Asia Pacific is expected to witness significant growth over the next eight years owing to increasing investments by governments in developing economies coupled with rising awareness about artificial intelligence and neural networks among end users. Growing penetration of telecommunication companies using artificial neural network technology for customer service has also contributed significantly toward regional market growth. The European region captured a substantial share due to increased funding from EU projects such as Horizon 2020 Research & Innovation program (H2020), which focuses on Artificial Intelligence (AI) technologies including deep learning based approaches along with other emerging AI technologies such as robotics, automation, cybernetics etc., and Machine Learning (ML).
Growth Factors:
- Increasing demand for artificial intelligence and machine learning applications
- Growing number of AI startups
- Rising adoption of artificial neural networks in automotive industry
- Proliferation of big data and increasing demand for advanced analytics solutions
- Growing popularity of deep learning
Scope Of The Report
Report Attributes
Report Details
Report Title
Artificial Neural Networks Market Research Report
By Type
Feed Forward Artificial Neural Network, Feedback Artificial Neural Network, Others, Artificial Neural Network
By Application
Telecommunication, Pharmaceutical, Transportation, Education and Research, Other
By Companies
IBM Corporation, Google Inc., Intel Corporation, Microsoft Corporation, Oracle Corporation, Neural Technologies Limited, Starmind International AG, Ward Systems Group, Inc, SAP SE, NeuroDimension, Inc, Alyuda Research, LLC, Neuralware, Qualcomm Technologies, Inc, GMDH, LLC, Clarifai, Artificial Neural Network
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
231
Number of Tables & Figures
162
Customization Available
Yes, the report can be customized as per your need.
Global Artificial Neural Networks Market Report Segments:
The global Artificial Neural Networks market is segmented on the basis of:
Types
Feed Forward Artificial Neural Network, Feedback Artificial Neural Network, Others, Artificial Neural Network
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Telecommunication, Pharmaceutical, Transportation, Education and Research, Other
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- IBM Corporation
- Google Inc.
- Intel Corporation
- Microsoft Corporation
- Oracle Corporation
- Neural Technologies Limited
- Starmind International AG
- Ward Systems Group, Inc
- SAP SE
- NeuroDimension, Inc
- Alyuda Research, LLC
- Neuralware
- Qualcomm Technologies, Inc
- GMDH, LLC
- Clarifai
- Artificial Neural Network
Highlights of The Artificial Neural Networks Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Feed Forward Artificial Neural Network
- Feedback Artificial Neural Network
- Others
- Artificial Neural Network
- By Application:
- Telecommunication
- Pharmaceutical
- Transportation
- Education and Research
- Other
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Artificial Neural Networks Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
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- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Artificial Neural Networks (ANNs) are a type of machine learning algorithm that is inspired by the way the human brain works. ANNs are composed of interconnected nodes, or neurons, that can learn to recognize patterns in data.
Some of the key players operating in the artificial neural networks market are IBM Corporation, Google Inc., Intel Corporation, Microsoft Corporation, Oracle Corporation, Neural Technologies Limited, Starmind International AG, Ward Systems Group, Inc, SAP SE, NeuroDimension, Inc, Alyuda Research, LLC, Neuralware, Qualcomm Technologies, Inc, GMDH, LLC, Clarifai, Artificial Neural Network.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Artificial Neural Networks Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Artificial Neural Networks Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Artificial Neural Networks Market - Supply Chain
4.5. Global Artificial Neural Networks Market Forecast
4.5.1. Artificial Neural Networks Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Artificial Neural Networks Market Size (000 Units) and Y-o-Y Growth
4.5.3. Artificial Neural Networks Market Absolute $ Opportunity
5. Global Artificial Neural Networks Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. Artificial Neural Networks Market Size and Volume Forecast by Type
5.3.1. Feed Forward Artificial Neural Network
5.3.2. Feedback Artificial Neural Network
5.3.3. Others
5.3.4. Artificial Neural Network
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type
6. Global Artificial Neural Networks Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. Artificial Neural Networks Market Size and Volume Forecast by Application
6.3.1. Telecommunication
6.3.2. Pharmaceutical
6.3.3. Transportation
6.3.4. Education and Research
6.3.5. Other
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application
7. Global Artificial Neural Networks Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. Artificial Neural Networks Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel
8. Global Artificial Neural Networks Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Artificial Neural Networks Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Artificial Neural Networks Demand Share Forecast, 2019-2026
9. North America Artificial Neural Networks Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America Artificial Neural Networks Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America Artificial Neural Networks Market Size and Volume Forecast by Application
9.4.1. Telecommunication
9.4.2. Pharmaceutical
9.4.3. Transportation
9.4.4. Education and Research
9.4.5. Other
9.5. Basis Point Share (BPS) Analysis by Application
9.6. Y-o-Y Growth Projections by Application
9.7. North America Artificial Neural Networks Market Size and Volume Forecast by Type
9.7.1. Feed Forward Artificial Neural Network
9.7.2. Feedback Artificial Neural Network
9.7.3. Others
9.7.4. Artificial Neural Network
9.8. Basis Point Share (BPS) Analysis by Type
9.9. Y-o-Y Growth Projections by Type
9.10. Market Attractiveness/Growth Potential Analysis
9.10.1. By Country
9.10.2. By Product Type
9.10.3. By Application
9.10.4. By Sales Channel
9.11. North America Artificial Neural Networks Demand Share Forecast, 2019-2026
10. Latin America Artificial Neural Networks Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America Artificial Neural Networks Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America Artificial Neural Networks Market Size and Volume Forecast by Application
10.4.1. Telecommunication
10.4.2. Pharmaceutical
10.4.3. Transportation
10.4.4. Education and Research
10.4.5. Other
10.5. Basis Point Share (BPS) Analysis by Application
10.6. Y-o-Y Growth Projections by Application
10.7. Latin America Artificial Neural Networks Market Size and Volume Forecast by Type
10.7.1. Feed Forward Artificial Neural Network
10.7.2. Feedback Artificial Neural Network
10.7.3. Others
10.7.4. Artificial Neural Network
10.8. Basis Point Share (BPS) Analysis by Type
10.9. Y-o-Y Growth Projections by Type
10.10. Market Attractiveness/Growth Potential Analysis
10.10.1. By Country
10.10.2. By Product Type
10.10.3. By Application
10.10.4. By Sales Channel
10.11. Latin America Artificial Neural Networks Demand Share Forecast, 2019-2026
11. Europe Artificial Neural Networks Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe Artificial Neural Networks Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe Artificial Neural Networks Market Size and Volume Forecast by Application
11.4.1. Telecommunication
11.4.2. Pharmaceutical
11.4.3. Transportation
11.4.4. Education and Research
11.4.5. Other
11.5. Basis Point Share (BPS) Analysis by Application
11.6. Y-o-Y Growth Projections by Application
11.7. Europe Artificial Neural Networks Market Size and Volume Forecast by Type
11.7.1. Feed Forward Artificial Neural Network
11.7.2. Feedback Artificial Neural Network
11.7.3. Others
11.7.4. Artificial Neural Network
11.8. Basis Point Share (BPS) Analysis by Type
11.9. Y-o-Y Growth Projections by Type
11.10. Market Attractiveness/Growth Potential Analysis
11.10.1. By Country
11.10.2. By Product Type
11.10.3. By Application
11.10.4. By Sales Channel
11.11. Europe Artificial Neural Networks Demand Share, 2019-2026
12. Asia Pacific Artificial Neural Networks Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific Artificial Neural Networks Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific Artificial Neural Networks Market Size and Volume Forecast by Application
12.4.1. Telecommunication
12.4.2. Pharmaceutical
12.4.3. Transportation
12.4.4. Education and Research
12.4.5. Other
12.5. Basis Point Share (BPS) Analysis by Application
12.6. Y-o-Y Growth Projections by Application
12.7. Asia Pacific Artificial Neural Networks Market Size and Volume Forecast by Type
12.7.1. Feed Forward Artificial Neural Network
12.7.2. Feedback Artificial Neural Network
12.7.3. Others
12.7.4. Artificial Neural Network
12.8. Basis Point Share (BPS) Analysis by Type
12.9. Y-o-Y Growth Projections by Type
12.10. Market Attractiveness/Growth Potential Analysis
12.10.1. By Country
12.10.2. By Product Type
12.10.3. By Application
12.10.4. By Sales Channel
12.11. Asia Pacific Artificial Neural Networks Demand Share, 2019-2026
13. Middle East & Africa Artificial Neural Networks Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Asia Pacific Average Pricing Analysis
13.2. Middle East & Africa Artificial Neural Networks Market Size and Volume Forecast by Country
13.2.1. Saudi Arabia
13.2.2. South Africa
13.2.3. UAE
13.2.4. Rest of Middle East & Africa (MEA)
13.3. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa Artificial Neural Networks Market Size and Volume Forecast by Application
13.4.1. Telecommunication
13.4.2. Pharmaceutical
13.4.3. Transportation
13.4.4. Education and Research
13.4.5. Other
13.5. Basis Point Share (BPS) Analysis by Application
13.6. Y-o-Y Growth Projections by Application
13.7. Middle East & Africa Artificial Neural Networks Market Size and Volume Forecast by Type
13.7.1. Feed Forward Artificial Neural Network
13.7.2. Feedback Artificial Neural Network
13.7.3. Others
13.7.4. Artificial Neural Network
13.8. Basis Point Share (BPS) Analysis by Type
13.9. Y-o-Y Growth Projections by Type
13.10. Market Attractiveness/Growth Potential Analysis
13.10.1. By Country
13.10.2. By Product Type
13.10.3. By Application
13.10.4. By Sales Channel
13.11. Middle East & Africa Artificial Neural Networks Demand Share, 2019-2026
14. Competition Landscape
14.1. Global Artificial Neural Networks Market: Market Share Analysis
14.2. Artificial Neural Networks Distributors and Customers
14.3. Artificial Neural Networks Market: Competitive Dashboard
14.4. Company Profiles (Details Overview, Financials, Developments, Strategy)
14.4.1. IBM Corporation
14.4.1.1. Overview
14.4.1.2. Financials
14.4.1.3. Developments
14.4.1.4. Strategic Outlook
14.4.2. Google Inc.
14.4.2.1. Overview
14.4.2.2. Financials
14.4.2.3. Developments
14.4.2.4. Strategic Outlook
14.4.3. Intel Corporation
14.4.3.1. Overview
14.4.3.2. Financials
14.4.3.3. Developments
14.4.3.4. Strategic Outlook
14.4.4. Microsoft Corporation
14.4.4.1. Overview
14.4.4.2. Financials
14.4.4.3. Developments
14.4.4.4. Strategic Outlook
14.4.5. Oracle Corporation
14.4.5.1. Overview
14.4.5.2. Financials
14.4.5.3. Developments
14.4.5.4. Strategic Outlook
14.4.6. Neural Technologies Limited
14.4.6.1. Overview
14.4.6.2. Financials
14.4.6.3. Developments
14.4.6.4. Strategic Outlook
14.4.7. Starmind International AG
14.4.7.1. Overview
14.4.7.2. Financials
14.4.7.3. Developments
14.4.7.4. Strategic Outlook
14.4.8. Ward Systems Group, Inc
14.4.8.1. Overview
14.4.8.2. Financials
14.4.8.3. Developments
14.4.8.4. Strategic Outlook
14.4.9. SAP SE
14.4.9.1. Overview
14.4.9.2. Financials
14.4.9.3. Developments
14.4.9.4. Strategic Outlook
14.4.10. NeuroDimension, Inc
14.4.10.1. Overview
14.4.10.2. Financials
14.4.10.3. Developments
14.4.10.4. Strategic Outlook
14.4.11. Alyuda Research, LLC
14.4.11.1. Overview
14.4.11.2. Financials
14.4.11.3. Developments
14.4.11.4. Strategic Outlook
14.4.12. Neuralware
14.4.12.1. Overview
14.4.12.2. Financials
14.4.12.3. Developments
14.4.12.4. Strategic Outlook
14.4.13. Qualcomm Technologies, Inc
14.4.13.1. Overview
14.4.13.2. Financials
14.4.13.3. Developments
14.4.13.4. Strategic Outlook
14.4.14. GMDH, LLC
14.4.14.1. Overview
14.4.14.2. Financials
14.4.14.3. Developments
14.4.14.4. Strategic Outlook
14.4.15. Clarifai
14.4.15.1. Overview
14.4.15.2. Financials
14.4.15.3. Developments
14.4.15.4. Strategic Outlook
14.4.16. Artificial Neural Network
14.4.16.1. Overview
14.4.16.2. Financials
14.4.16.3. Developments
14.4.16.4. Strategic Outlook
14.4.17. COMPANY 17
14.4.17.1. Overview
14.4.17.2. Financials
14.4.17.3. Developments
14.4.17.4. Strategic Outlook
14.4.18. COMPANY 18
14.4.18.1. Overview
14.4.18.2. Financials
14.4.18.3. Developments
14.4.18.4. Strategic Outlook
14.4.19. COMPANY 19
14.4.19.1. Overview
14.4.19.2. Financials
14.4.19.3. Developments
14.4.19.4. Strategic Outlook
14.4.20. COMPANY 20
14.4.20.1. Overview
14.4.20.2. Financials
14.4.20.3. Developments
14.4.20.4. Strategic Outlook
