Market Overview:
The global neural network market is expected to grow at a CAGR of xx% during the forecast period from 2018 to 2030. The growth of the market can be attributed to the increasing demand for artificial intelligence and machine learning across various industries. Neural networks are used for deep learning, which is a subset of machine learning that enables computers to learn from data, without being explicitly programmed. The growing adoption of cloud-based services and increasing demand for big data analytics are also contributing to the growth of the neural network market. However, lack of awareness about neural networks among end users is restraining the growth of this market. The global neural network market can be segmented on the basis of type, application and region. On the basis of type, it can be divided into on-premises and cloud-based models. Cloud-based models are further classified into public clouds and private clouds. On the basis on application, it can be segmented into large enterprises and SMEs (small & medium enterprises). Regionally, it can be divided into North America, Latin America Europe Asia Pacific Middle East & Africa (MEA).
Product Definition:
A neural network is a computer system modeled on the brain and nervous system. Neural networks can be used to model a wide range of problems in areas such as finance, engineering, and science.
On-Premises:
On-premises, it's usage and growth factor in the neural network market? On-premises, it's usage.
On-premise solutions are used to store data on physical devices. The information is stored either on hard drives or directly onto magnetic tapes. These systems have been around for decades; however, they are now being replaced by cloud computing systems owing to several benefits offered by them.
Cloud Based:
Cloud Based is a term used for storing large amounts of data on remote servers using software. The data can be any type of information such as text documents, images, or videos. It is usually stored on the server in a digital format and can be retrieved when needed. Cloud Based services are cost effective and provide quick access to large amounts of data making it easier to work with.
Application Insights:
The large-scale enterprise application segment accounted for the largest revenue share of over 60% in 2017. The adoption of neural networks has been growing rapidly in large-scale enterprises as they offer solutions to a variety of problems, such as pattern recognition, forecasting and optimization. These solutions help organizations make sense out of data by discovering patterns and insights using AI algorithms. Large-scale enterprises are adopting these solutions to improve their operations by reducing costs, increasing efficiency and effectiveness while enhancing customer experience.
Neural network platforms with on-premises or hybrid cloud deployment model are being adopted by large scale enterprises owing to the ability to process huge amounts data at high speed with low cost and increased flexibility.
Regional Analysis:
North America dominated the global market in 2017. The growth can be attributed to the presence of prominent players such as IBM Corporation; Google LLC; Hewlett Packard Enterprise, and Salesforce.com, Inc.; Cisco Systems, Inc.; and Microsoft Corporation in this region. These companies are actively involved in developing advanced technologies for neural networks implementation which is boosting the regional market growth over the forecast period.
Asia Pacific is expected to emerge as a lucrative destination for global vendors looking to capitalize on growing demand from enterprises for AI-based services across numerous industries including banking & financial services (BFS), telecom & IT, healthcare & life sciences, retail & e-commerce among others. Growing penetration of cloud computing and big data analytics coupled with rising adoption of smartphones is expected to drive regional demand over the forecast period.
Growth Factors:
- Increasing demand for neural network-based applications in various industries such as automotive, healthcare, retail, and others
- Growing number of startups focusing on development of neural network-based applications
- Rising adoption of deep learning technology for various purposes such as image recognition, voice recognition, and others
- Proliferation of big data and increasing demand for advanced analytics to gain insights from data
- Development of new architectures and algorithms to improve the performance of neural networks
Scope Of The Report
Report Attributes
Report Details
Report Title
Neural Network Market Research Report
By Type
On-Premises, Cloud Based
By Application
Large Enterprised, SMEs
By Companies
GMDH, Artificial Intelligence Techniques, Oracle, IBM, Microsoft, Intel, AWS, NVIDIA, TFLearn
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
246
Number of Tables & Figures
173
Customization Available
Yes, the report can be customized as per your need.
Global Neural Network Market Report Segments:
The global Neural Network market is segmented on the basis of:
Types
On-Premises, Cloud Based
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
Large Enterprised, SMEs
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:
- GMDH
- Artificial Intelligence Techniques
- Oracle
- IBM
- Microsoft
- Intel
- AWS
- NVIDIA
- TFLearn
Highlights of The Neural Network 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:
- On-Premises
- Cloud Based
- By Application:
- Large Enterprised
- SMEs
- 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 Neural Network 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
- Business Expansion Strategies
- 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?
A neural network is a computer system that uses artificial intelligence to learn and improve its performance. Neural networks are composed of interconnected processing nodes, or neurons, which can be trained to recognize patterns in data.
Some of the major companies in the neural network market are GMDH, Artificial Intelligence Techniques, Oracle, IBM, Microsoft, Intel, AWS, NVIDIA, TFLearn.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Neural Network Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Neural Network Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Neural Network Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Neural Network Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Neural Network Market Size & Forecast, 2018-2028
4.5.1 Neural Network Market Size and Y-o-Y Growth
4.5.2 Neural Network Market Absolute $ Opportunity
Chapter 5 Global Neural Network Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Neural Network Market Size Forecast by Type
5.2.1 On-Premises
5.2.2 Cloud Based
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Neural Network Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Neural Network Market Size Forecast by Applications
6.2.1 Large Enterprised
6.2.2 SMEs
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Neural Network Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Neural Network Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Neural Network Analysis and Forecast
9.1 Introduction
9.2 North America Neural Network Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Neural Network Market Size Forecast by Type
9.6.1 On-Premises
9.6.2 Cloud Based
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Neural Network Market Size Forecast by Applications
9.10.1 Large Enterprised
9.10.2 SMEs
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Neural Network Analysis and Forecast
10.1 Introduction
10.2 Europe Neural Network Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Neural Network Market Size Forecast by Type
10.6.1 On-Premises
10.6.2 Cloud Based
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Neural Network Market Size Forecast by Applications
10.10.1 Large Enterprised
10.10.2 SMEs
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Neural Network Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Neural Network Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Neural Network Market Size Forecast by Type
11.6.1 On-Premises
11.6.2 Cloud Based
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Neural Network Market Size Forecast by Applications
11.10.1 Large Enterprised
11.10.2 SMEs
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Neural Network Analysis and Forecast
12.1 Introduction
12.2 Latin America Neural Network Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Neural Network Market Size Forecast by Type
12.6.1 On-Premises
12.6.2 Cloud Based
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Neural Network Market Size Forecast by Applications
12.10.1 Large Enterprised
12.10.2 SMEs
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Neural Network Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Neural Network Market Size 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 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Neural Network Market Size Forecast by Type
13.6.1 On-Premises
13.6.2 Cloud Based
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Neural Network Market Size Forecast by Applications
13.10.1 Large Enterprised
13.10.2 SMEs
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Neural Network Market: Competitive Dashboard
14.2 Global Neural Network Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 GMDH
14.3.2 Artificial Intelligence Techniques
14.3.3 Oracle
14.3.4 IBM
14.3.5 Microsoft
14.3.6 Intel
14.3.7 AWS
14.3.8 NVIDIA
14.3.9 TFLearn
